Source: EURLEX
Language: en
Format: md

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| 7.7.2017 | EN | Official Journal of the European Union | L 175/679 |

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COMMISSION IMPLEMENTING REGULATION (EU) 2017/1153

of 2 June 2017

setting out a methodology for determining the correlation parameters necessary for reflecting the change in the regulatory test procedure and amending Regulation (EU) No 1014/2010

(Text with EEA relevance)

THE EUROPEAN COMMISSION,

Having regard to the Treaty on the Functioning of the European Union,

Having regard to Regulation (EC) No 443/2009 of the European Parliament and of the Council of 23 April 2009 setting emission performance standards for new passenger cars as part of the Community’s integrated approach to reduce CO2 emissions from light-duty vehicles [(1)](#ntr1-L_2017175EN.01067901-E0001), and in particular the first subparagraph of Article 8(9) and the first subparagraph of Article 13(7) thereof,

Whereas:

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| (1) | A new regulatory test procedure for measuring CO2 emissions and fuel consumption from light-duty vehicles, the World Harmonised Light Vehicles Test Procedure (WLTP), set out in Commission Regulation (EU) 2017/1151 [(2)](#ntr2-L_2017175EN.01067901-E0002), will replace the New European Test Cycle (NEDC), which is currently used pursuant to Commission Regulation (EC) No 692/2008 [(3)](#ntr3-L_2017175EN.01067901-E0003), with effect starting from 1 September 2017. The WLTP is expected to provide CO2 emission and fuel consumption values that are more representative of real driving conditions. |

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| (2) | In order to take into account the difference in the level of CO2 emissions measured under the existing NEDC and the new WLTP procedures, a methodology for correlating those values should be provided to allow the determination of the manufacturers’ compliance with their specific CO2 emission targets pursuant to Regulation (EC) No 443/2009. |

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| (3) | The WLTP is to be phased in, starting with new vehicle types from 1 September 2017 and all vehicles from 1 September 2018. From 1 September 2019, when also end-of-series vehicles have been phased out, all new vehicles placed on the Union market will be tested in accordance with the WLTP. It is appropriate to continue to verify compliance with the specific emission targets using NEDC-based CO2 emission values during this period. |

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| (4) | It is however desirable to limit the testing burden for both manufacturers and type-approval authorities and the possibility to determine the reference NEDC CO2 emission values by way of simulations should therefore be provided. A specific vehicle simulation tool (the correlation tool) has been developed for that purpose. The input data for the correlation tool should not require additional tests but be derived from the WLTP type-approval tests. |

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| (5) | The stringency of the CO2 reduction requirements following the change to WLTP must, in accordance with the second subparagraph of Article 13(7) to Regulation (EC) No 443/2009, remain comparable for manufacturers and vehicles of different utility to that defined in Regulation (EC) No 443/2009 by reference to the CO2 emission levels determined in accordance with the NEDC procedure. The correlation procedure should therefore take into account those NEDC test conditions which are explicitly required for granting a type-approval. |

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| (6) | There may be advanced vehicle technologies or specific technology configurations for which the correlation tool might not be able to deliver NEDC CO2 values with sufficient accuracy. In those cases, the manufacturer should have the possibility to perform a physical vehicle test instead. In order to ensure a level playing field, the same NEDC test conditions that have been defined for the correlation tool should apply for those tests. |

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| (7) | Regulation (EC) No 443/2009 provides a number of modalities which may be applied to facilitate achieving the specific emission targets. In order to ensure comparable stringency, it is necessary to make certain adjustments to the calculation of the super-credits specified in Article 5a of Regulation (EC) No 443/2009 and to the eco-innovation savings referred to in Article 12 of that Regulation. However, the framework conditions for those modalities are considered not to be directly dependent on the applicable test procedure, and, should, as a consequence, be maintained without adjustments, including the caps set for both super-credits and eco-innovation savings. |

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| (8) | It is important to ensure that procedural tolerances and correlation tool outputs are applied as intended and not as a means to artificially lower the CO2 emission values used for target compliance purposes. Therefore, a limited number of random physical tests should be performed with a view to verifying that the input data and the NEDC reference values based on the correlation tool output are correctly determined. If it is found, as a result of a random test, that a manufacturer has declared an NEDC CO2 value for the purpose of the type-approval that is lower than the tolerance permitted in the measurement result or if incorrect input data has been provided, it should be possible for the Commission to determine and apply a correction factor to increase the average specific emissions of a manufacturer. This should also act as a disincentive for any abuse or overexploitations of measurement tolerances. |

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| (9) | The monitoring of CO2 emission values is set out in Commission Regulation (EU) No 1014/2010 [(4)](#ntr4-L_2017175EN.01067901-E0004) and these provisions also needs to be adjusted to the new test procedure. With the WLTP, a specific CO2 emission value will be calculated and recorded in the certificate of conformity of each individual vehicle. In order to effectively monitor and verify those values, it is necessary to use vehicle identification numbers as a basis for the monitoring. |

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| (10) | In view of the required extensive adaptations of vehicle registration and CO2 monitoring systems, it is appropriate to provide Member States with the possibility to gradually introduce the new monitoring parameters in 2017 and require the complete new dataset from 2018 only. The 2017 data to be reported should include as a minimum the data required for target compliance purposes and for preventing abuse of the correlation procedure. |

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| (11) | The measures provided for in this Regulation are in accordance with the opinion of the Climate Change Committee, |

HAS ADOPTED THIS REGULATION:

Article 1

Subject matter

This Regulation provides for:

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| (a) | a methodology for the correlation of the CO2 emissions measured in accordance with Annex XXI to Regulation (EU) 2017/1151 with those determined in accordance with Annex XII to Regulation (EC) No 692/2008; |

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| (b) | a procedure for applying the methodology referred to in point (a) for the purpose of determining each manufacturer’s average specific emissions of CO2; |

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| (c) | the amendments to Regulation (EU) No 1014/2010 required for the purpose of adapting the monitoring of CO2 emissions data to reflect the change in emission values. |

Article 2

Definitions

For the purposes of this Regulation, the following definitions shall apply:

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| (1) | ‘NEDC CO2 values’ means the CO2 emissions determined in accordance with Annex I and entered into the certificates of conformity; |

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| (2) | ‘Measured NEDC CO2 values’ means the CO2 emissions (phases and combined) determined in accordance with Annex XII to Regulation (EC) No 692/2008 by way of physical vehicle tests; |

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| (3) | ‘WLTP CO2 values’ means the CO2 emissions (combined) determined in accordance with the test procedure set out in Annex XXI to Regulation (EU) 2017/1151; |

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| (4) | ‘WLTP interpolation family’ means the interpolation family as determined in accordance with point 5.6 of Annex XXI to Regulation (EU) 2017/1151; |

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| (5) | ‘Correlation tool’ means the simulation model referred to in point 2 of Annex I. |

Article 3

Determination of average specific emissions of CO2 for target compliance purpose in the period 2017 to 2020

1.   For the calendar years 2017 to 2020 inclusive, the average specific emissions of a manufacturer shall be determined using the following CO2 mass emissions (combined) values:

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| (a) | with regard to M1 passenger cars type-approved in accordance with Annex XXI to Regulation (EU) 2017/1151, the NEDC CO2 values; |

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| (b) | with regard to existing types of M1 passenger cars that have been type-approved in accordance with Annex XII to Regulation (EC) No 692/2008, the measured NEDC CO2 values for the calendar year 2017 until 31 August 2018 and the NEDC CO2 values from 1 September 2018 to 31 December 2020; |

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| (c) | with regard to end-of-series vehicles referred to in Article 27 of Directive 2007/46/EC of the European Parliament and of the Council [(5)](#ntr5-L_2017175EN.01067901-E0005), the measured NEDC CO2 values. |

2.   Manufacturers responsible for more than 1 000 but fewer than 10 000 new passenger cars registered in the Union in each of the calendar years 2017 to 2020 inclusive may use either the NEDC CO2 values or the measured NEDC CO2 values.

Article 4

Determination of average specific emissions based on WLTP CO2 values

1.   The WLTP CO2 emissions (combined) or, where applicable, (weighted combined) specified in entry 49.4 of the certificate of conformity shall be monitored for all new registered vehicles starting from 1 January 2018.

2.   For each manufacturer, the average specific emissions based on WLTP CO2 values shall be determined starting from 1 January 2018.

With effect from 1 January 2021, those average specific emissions shall be used to determine the manufacturer’s compliance with its specific emission target.

Article 5

Application of Article 5a of Regulation (EC) No 443/2009 — super-credits

Where the measured NEDC CO2 value of a new passenger car is less than 50 g CO2/km, the manufacturer shall, for the purpose of the application of Article 5a of Regulation (EC) No 443/2009, record that value in the certificate of conformity of the vehicles concerned until 31 December 2022.

With effect from 1 January 2021:

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| (a) | the specific emissions of those vehicles shall be calculated in accordance with Article 5a of that Regulation, using the WLTP CO2 values of those vehicles; |

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| (b) | the 7,5 g CO2/km cap provided for in Article 5a of that Regulation shall be taken into account as follows:  Formula  Formula  Where:   |  |  | | --- | --- | | Capn,r | is the proportion of the remaining cap on NEDC in 2020; | | SCn2020 | is the super-credit savings on NEDC in 2020; | | SCw2020 | is the super-credit savings on WLTP in 2020; | | Capw | is the remaining super-credit savings cap to be taken into account for the calculation of the average specific emissions in 2021 and 2022. | |

Article 6

Application of Article 12 of Regulation (EC) No 443/2009 — eco-innovations

1.   With effect from 1 January 2021, only CO2 savings due to eco-innovations, within the meaning of Article 12 of Regulation (EC) No 443/2009, that are not covered by the test procedure set out in Annex XXI to Regulation (EU) 2017/1151, shall be taken into account for the calculation of the average specific emissions of a manufacturer.

2.   A manufacturer’s total eco-innovation CO2 savings in the following calendar years shall be adjusted as follows:

(a)   in 2021:

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)

(b)   in 2022:

![Formula](data:image/jpg;base64,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)

(c)   in 2023:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| Formula | are the eco-innovation savings in the relevant year to be taken into account for the calculation of the average specific emissions; |
| Formula | are the eco-innovation savings in the relevant year determined in relation to the WLTP and recorded in the certificate of conformity. |

From calendar year 2024 eco-innovation savings shall be taken into account for the calculation of the specific average emissions without adjustment.

Article 7

Determination and correction of NEDC CO2 values for the calculation of the specific average emissions

1.   Starting from the calendar year 2017 until 2020 inclusive, the average specific CO2 emissions of a manufacturer shall be calculated using the NEDC CO2 values determined in accordance with the procedure laid down in Section 4 of Annex I, unless paragraph (1)(b) or (c) or paragraph (2) of Article 3 applies.

2.   Where for a WLTP interpolation family the deviation factor De, determined in accordance with point 3.2.8 of Annex I, exceeds the value 0,04, or in the presence of a verification factor ‘1’ as determined in that point, the average specific NEDC CO2 emissions of the manufacturer responsible for that interpolation family shall be multiplied by the following correction factor:

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)

Where:

|  |  |
| --- | --- |
| Dei | is the value determined in accordance with point 3.2.8 of Annex I; |
| ri | is the number of annual registrations of vehicles belonging to the respective WLTP interpolation family i concerned; |
| δз,i | is equal to 0 if Dei  is missing and equal to 1 otherwise; |
| N | is the number of WLTP interpolation families for which a manufacturer is responsible. |

Article 8

Amendments to Regulation (EU) No 1014/2010

Regulation (EU) No 1014/2010 is amended as follows:

|  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| (1) | Article 5 is amended as follows:   |  |  |  |  | | --- | --- | --- | --- | | (a) | point (b) is replaced by the following:   |  |  | | --- | --- | | ‘(b) | for each vehicle, the deviation factor (De) and the verification factor determined in accordance with point 3.2.8 of Annex I to Commission Implementing Regulation (EU) 2017/1153[(\*1)](#ntr*1-L_2017175EN.01067901-E0006) |   [(\*1)](#ntc*1-L_2017175EN.01067901-E0006)  Commission Implementing Regulation (EU) 2017/1153 of 2 June 2017 setting out a methodology for determining the correlation parameters necessary for reflecting the change in the regulatory test procedure and amending Regulation (EU) No 1014/2010 ([OJ L 175, 7.7.2017, p. 679](./../../../legal-content/EN/AUTO/?uri=OJ:L:2017:175:TOC)).’;" |  |  |  | | --- | --- | | (b) | the following third paragraph is added:  ‘Notwithstanding the detailed data parameters referred to in Annex II to Regulation (EC) No 443/2009, a Member State shall, with regard to the data monitored until 31 December 2017, in addition to the already required parameters, report only the deviation factor “De” and the verification factor. From 1 January 2018 all detailed monitoring data specified in Annex II shall be monitored and reported.’; | |

|  |  |
| --- | --- |
| (2) | Article 6 is deleted; |

|  |  |
| --- | --- |
| (3) | the following Article 9a is inserted:  ‘Article 9a  Preparation of the provisional dataset  1.   The provisional dataset to be notified to a manufacturer in accordance with the second subparagraph of Article 8(4) of Regulation (EC) No 443/2009 shall include the records which, on the basis of the manufacturer’s name and, from 1 January 2018, the vehicle identification number, can be attributed to that manufacturer.  The central register referred to in the first subparagraph of Article 8(4) of Regulation (EC) No 443/2009 shall not include any data on vehicle identification numbers.  2.   The processing of the vehicle identification numbers shall not include the processing of any personal data that could be linked to those numbers or any other data that could permit the linking of vehicle identification numbers with personal data.’; |

|  |  |
| --- | --- |
| (4) | Annex I is replaced by the text in Annex II to this Regulation. |

Article 9

Entry into force

This Regulation shall enter into force on the twentieth day following that of its publication in the Official Journal of the European Union.

This Regulation shall be binding in its entirety and directly applicable in all Member States.

Done at Brussels, 2 June 2017.

For the Commission

The President

Jean-Claude JUNCKER

---

---

ANNEX I

1.   INTRODUCTION

This Annex sets out the methodology for determining the NEDC CO2 value of individual M1 vehicles.

2.   DETERMINATION OF THE NEDC CO2 VALUE FOR THE WLTP INTERPOLATION FAMILY

2.1.   Correlation tool

The type-approval authority shall ensure that the NEDC CO2 values to be used as reference for the purpose of Section 3 are determined by way of simulations in accordance with the provisions set out in this Annex.

The Commission shall provide a simulation tool for that purpose (hereinafter the ‘correlation tool’) in the form of downloadable, executable, software. The Commission shall also provide guidance on the capacity of the correlation tool to simulate vehicles with advanced technologies, and, where necessary, recommend the use of physical measurements instead of simulations.

2.1.1.   Access to the correlation tool

The correlation tool shall be installed on a computer of the type-approval authority or, where applicable, the technical service, following the instructions provided in the following website:

(http://ec.europa.eu/clima/policies/transport/vehicles/cars/documentation\_en.htm)

The type-approval authority shall ensure that the correlation tool is operated in accordance with the requirements of this Regulation and the user instructions set out in the user manual [(1)](#ntr1-L_2017175EN.01068501-E0001).

Support to the approval authorities and technical services using the correlation tool for the purpose of this Regulation shall be provided by the Commission on request. Requests for support shall be addressed to the following functional mailbox:

co2mpas@jrc.ec.europa.eu [(2)](#ntr2-L_2017175EN.01068501-E0002)

The correlation tool shall be accessible to other users, however, support shall only be provided to those users within the limits of available resources.

2.1.2.   Electronic signature and sealing of the correlation tool output

An electronic signing-key for the purpose of electronically signing and sealing the original correlation tool output file referred to in point 3.1 shall be made available to the approval authorities and, where applicable, technical services following a request to the Commission. The request shall include the relevant name and contact details (mail address, email address, telephone number) of the person responsible for the execution of the correlation tool output and be sent to the following functional mailbox:

EC-CO2-LDV-IMPLEMENTATION@ec.europa.eu

2.1.3.   Annual update of the correlation tool

The performance of the correlation tool shall be continuously reviewed, taking into account information provided, in particular, by the contact persons referred to in point 2.1.2. Where appropriate, the Commission shall prepare a new version of the tool to be released annually on 1 September. The new version shall not affect the validity of results provided by previous versions.

The new version may be applied for the purpose of the procedure set out in Section 3 of this Annex from the date of its release. With the agreement of the type-approval authority or the technical service, the previous version of the correlation tool may, however, continue to be used during a maximum period of two months following the release of the new version.

The version used as well as the operating system of the computer on which the correlation tool has been run by the type-approval authority or technical service shall be indicated in the electronically signed correlation tool output report.

Where the applicability of the new version requires the adjustment of any provisions set out in this Regulation, the release of the new version shall not take place until the Regulation has been amended accordingly.

2.1.4.   Ad-hoc adjustments of the correlation tool

Notwithstanding point 2.1.3, in case of serious malfunctioning of the correlation tool for the purpose of the procedure set out in Section 3, a new version of the tool shall be prepared and released as soon as possible following the detection of the malfunction. The new version shall apply from the date of its release and shall not affect the validity of results provided by previous versions.

Where the applicability of the new version requires the adjustment of any provisions set out in this Regulation, the release of the new version shall not take place until the Regulation has been amended accordingly.

2.2.   Identification of the WLTP test results to be used for the purpose of defining the input data for the simulation model

The input data for the correlation tool simulations shall be taken from the relevant WLTP test results for vehicle H and, where applicable, vehicle L as defined in accordance with point 4.2.1 of Sub-Annex 4 to Annex XXI to Regulation (EU) 2017/1151. Where more than one WLTP type-approval test of vehicle H or L is performed in accordance with Table A6/2 of Annex XXI to that Regulation, the following test results shall be used for the purpose of determining the input data:

|  |  |
| --- | --- |
| (a) | in the case where two type-approval tests are performed, the test results with the highest CO2 emissions shall be used; |

|  |  |
| --- | --- |
| (b) | in the case where three type-approval tests are performed, the test results with the median CO2 emissions shall be used. |

2.3.   Determination of the input data and conditions for the operation of the correlation tool

The test conditions referred to in Annex XII to Regulation (EC) No 692/2008 shall be taken into account in the correlation tool simulations, including the precisions provided for in points 2.3.1 to 2.3.7 of this Annex.

The physical vehicle measurements referred to in point 3 shall be performed in accordance with the conditions referred to in that Regulation, with the precisions given in this Annex, and, where applicable, the input data defined in point 2.4.

2.3.1.   Determination of the NEDC vehicle inertia

The NEDC reference mass of vehicles H and L shall be determined as follows:

![Formula](data:image/jpg;base64,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)

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)

Where:

MRO is the mass in running order as defined in Article 3(d) of Regulation (EC) No 443/2009 for vehicle H and L respectively.

The reference mass to be used as input for the simulations shall be the inertia value set out in Table 3 of Annex 4a to UN/ECE Regulation No 83 which is equivalent to the reference mass, RM, determined in accordance with this point and referred to as TMn,L and TMn,H.

2.3.2.   Determination of the pre-conditioning effect

In preparing the chassis-dynamometer for the execution of a type-approval test, the vehicle is pre-conditioned in order to reach similar conditions to those used in the coast-down test. The pre-conditioning procedure used in the WLTP test differs from that used for the purpose of NEDC so that, with equal road loads, the vehicle is considered subject to higher forces under the WLTP. That difference shall be set at 6 Newton and that value shall be used for the calculation of the NEDC road loads in accordance with point 2.3.8.

2.3.3.   Ambient conditions referred to in point 3.1.1 of UN/ECE Regulation No 83

For the purpose of the correlation tool, the test cell temperature shall be set at 25 °C.

Also in the case of a physical vehicle measurement pursuant to point 3, the test cell temperature shall be set at 25 °C. However, on request by the manufacturer, the test cell temperature may be set at a value between 20 to 25 °C for the physical measurement.

2.3.4.   Determination of the initial battery state of charge

The initial battery state of charge shall be set to at least 99 per cent for the purpose of the correlation tool test. The same shall apply in the case of a physical vehicle test.

2.3.5.   Determination of the difference in tyre pressure prescriptions

According to the WLTP, the lowest tyre pressure for the vehicle test mass shall be used, while this is not specified in the NEDC. For the purpose of determining the tyre pressure to be taken into account for the purpose of calculating the NEDC road load in accordance with point 2.3.8, the tyre pressure shall, taking into account the different tyre pressure per vehicle axle, be the average between the two axles of the average between the minimum and maximum tyre pressure permitted for the selected tyres on each axle for the NEDC reference mass of the vehicle. The calculation shall be carried out for both vehicles H and L in accordance with following formulae:

|  |  |  |
| --- | --- | --- |
| For vehicle H | : | Formula |
| For vehicle L | : | Formula |

Where:

|  |  |
| --- | --- |
| Pmax, | is the average of the maximum tyre pressures of the selected tyres for the two axles; |
| Pmin, | is the average of the minimum tyre pressures of the selected tyres for the two axles. |

The corresponding effect in terms of resistance applied to the vehicle shall be calculated using the following formulae for the respective vehicle H and L:

![Formula](data:image/jpg;base64,/9j/4AAQSkZJRgABAQABLAEsAAD/4gogSUNDX1BST0ZJTEUAAQEAAAoQAAAAAAIQAABtbnRyUkdCIFhZWiAAAAAAAAAAAAAAAABhY3NwQVBQTAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAApkZXNjAAAA/AAAAHxjcHJ0AAABeAAAACh3dHB0AAABoAAAABRia3B0AAABtAAAABRyWFlaAAAByAAAABRnWFlaAAAB3AAAABRiWFlaAAAB8AAAABRyVFJDAAACBAAACAxnVFJDAAACBAAACAxiVFJDAAACBAAACAxkZXNjAAAAAAAAACJBcnRpZmV4IFNvZnR3YXJlIHNSR0IgSUNDIFByb2ZpbGUAAAAAAAAAAAAAACJBcnRpZmV4IFNvZnR3YXJlIHNSR0IgSUNDIFByb2ZpbGUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAdGV4dAAAAABDb3B5cmlnaHQgQXJ0aWZleCBTb2Z0d2FyZSAyMDExAFhZWiAAAAAAAADzUQABAAAAARbMWFlaIAAAAAAAAAAAAAAAAAAAAABYWVogAAAAAAAAb6IAADj1AAADkFhZWiAAAAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9jdXJ2AAAAAAAABAAAAAAFAAoADwAUABkAHgAjACgALQAyADcAOwBAAEUASgBPAFQAWQBeAGMAaABtAHIAdwB8AIEAhgCLAJAAlQCaAJ8ApACpAK4AsgC3ALwAwQDGAMsA0ADVANsA4ADlAOsA8AD2APsBAQEHAQ0BEwEZAR8BJQErATIBOAE+AUUBTAFSAVkBYAFnAW4BdQF8AYMBiwGSAZoBoQGpAbEBuQHBAckB0QHZAeEB6QHyAfoCAwIMAhQCHQImAi8COAJBAksCVAJdAmcCcQJ6AoQCjgKYAqICrAK2AsECywLVAuAC6wL1AwADCwMWAyEDLQM4A0MDTwNaA2YDcgN+A4oDlgOiA64DugPHA9MD4APsA/kEBgQTBCAELQQ7BEgEVQRjBHEEfgSMBJoEqAS2BMQE0wThBPAE/gUNBRwFKwU6BUkFWAVnBXcFhgWWBaYFtQXFBdUF5QX2BgYGFgYnBjcGSAZZBmoGewaMBp0GrwbABtEG4wb1BwcHGQcrBz0HTwdhB3QHhgeZB6wHvwfSB+UH+AgLCB8IMghGCFoIbgiCCJYIqgi+CNII5wj7CRAJJQk6CU8JZAl5CY8JpAm6Cc8J5Qn7ChEKJwo9ClQKagqBCpgKrgrFCtwK8wsLCyILOQtRC2kLgAuYC7ALyAvhC/kMEgwqDEMMXAx1DI4MpwzADNkM8w0NDSYNQA1aDXQNjg2pDcMN3g34DhMOLg5JDmQOfw6bDrYO0g7uDwkPJQ9BD14Peg+WD7MPzw/sEAkQJhBDEGEQfhCbELkQ1xD1ERMRMRFPEW0RjBGqEckR6BIHEiYSRRJkEoQSoxLDEuMTAxMjE0MTYxODE6QTxRPlFAYUJxRJFGoUixStFM4U8BUSFTQVVhV4FZsVvRXgFgMWJhZJFmwWjxayFtYW+hcdF0EXZReJF64X0hf3GBsYQBhlGIoYrxjVGPoZIBlFGWsZkRm3Gd0aBBoqGlEadxqeGsUa7BsUGzsbYxuKG7Ib2hwCHCocUhx7HKMczBz1HR4dRx1wHZkdwx3sHhYeQB5qHpQevh7pHxMfPh9pH5Qfvx/qIBUgQSBsIJggxCDwIRwhSCF1IaEhziH7IiciVSKCIq8i3SMKIzgjZiOUI8Ij8CQfJE0kfCSrJNolCSU4JWgllyXHJfcmJyZXJocmtyboJxgnSSd6J6sn3CgNKD8ocSiiKNQpBik4KWspnSnQKgIqNSpoKpsqzysCKzYraSudK9EsBSw5LG4soizXLQwtQS12Last4S4WLkwugi63Lu4vJC9aL5Evxy/+MDUwbDCkMNsxEjFKMYIxujHyMioyYzKbMtQzDTNGM38zuDPxNCs0ZTSeNNg1EzVNNYc1wjX9Njc2cjauNuk3JDdgN5w31zgUOFA4jDjIOQU5Qjl/Obw5+To2OnQ6sjrvOy07azuqO+g8JzxlPKQ84z0iPWE9oT3gPiA+YD6gPuA/IT9hP6I/4kAjQGRApkDnQSlBakGsQe5CMEJyQrVC90M6Q31DwEQDREdEikTORRJFVUWaRd5GIkZnRqtG8Ec1R3tHwEgFSEtIkUjXSR1JY0mpSfBKN0p9SsRLDEtTS5pL4kwqTHJMuk0CTUpNk03cTiVObk63TwBPSU+TT91QJ1BxULtRBlFQUZtR5lIxUnxSx1MTU19TqlP2VEJUj1TbVShVdVXCVg9WXFapVvdXRFeSV+BYL1h9WMtZGllpWbhaB1pWWqZa9VtFW5Vb5Vw1XIZc1l0nXXhdyV4aXmxevV8PX2Ffs2AFYFdgqmD8YU9homH1YklinGLwY0Njl2PrZEBklGTpZT1lkmXnZj1mkmboZz1nk2fpaD9olmjsaUNpmmnxakhqn2r3a09rp2v/bFdsr20IbWBtuW4SbmtuxG8eb3hv0XArcIZw4HE6cZVx8HJLcqZzAXNdc7h0FHRwdMx1KHWFdeF2Pnabdvh3VnezeBF4bnjMeSp5iXnnekZ6pXsEe2N7wnwhfIF84X1BfaF+AX5ifsJ/I3+Ef+WAR4CogQqBa4HNgjCCkoL0g1eDuoQdhICE44VHhauGDoZyhteHO4efiASIaYjOiTOJmYn+imSKyoswi5aL/IxjjMqNMY2Yjf+OZo7OjzaPnpAGkG6Q1pE/kaiSEZJ6kuOTTZO2lCCUipT0lV+VyZY0lp+XCpd1l+CYTJi4mSSZkJn8mmia1ZtCm6+cHJyJnPedZJ3SnkCerp8dn4uf+qBpoNihR6G2oiailqMGo3aj5qRWpMelOKWpphqmi6b9p26n4KhSqMSpN6mpqhyqj6sCq3Wr6axcrNCtRK24ri2uoa8Wr4uwALB1sOqxYLHWskuywrM4s660JbSctRO1irYBtnm28Ldot+C4WbjRuUq5wro7urW7LrunvCG8m70VvY++Cr6Evv+/er/1wHDA7MFnwePCX8Lbw1jD1MRRxM7FS8XIxkbGw8dBx7/IPci8yTrJuco4yrfLNsu2zDXMtc01zbXONs62zzfPuNA50LrRPNG+0j/SwdNE08bUSdTL1U7V0dZV1tjXXNfg2GTY6Nls2fHadtr724DcBdyK3RDdlt4c3qLfKd+v4DbgveFE4cziU+Lb42Pj6+Rz5PzlhOYN5pbnH+ep6DLovOlG6dDqW+rl63Dr++yG7RHtnO4o7rTvQO/M8Fjw5fFy8f/yjPMZ86f0NPTC9VD13vZt9vv3ivgZ+Kj5OPnH+lf65/t3/Af8mP0p/br+S/7c/23////bAEMAAwICAgICAwICAgMDAwMEBgQEBAQECAYGBQYJCAoKCQgJCQoMDwwKCw4LCQkNEQ0ODxAQERAKDBITEhATDxAQEP/AAAsIAEkA7gEBEQD/xAAcAAEAAwADAQEAAAAAAAAAAAAABgcIAQQFCQP/xAA/EAABAwQBAwIEAwQGCgMAAAABAgMEAAUGEQcIEiETMRQiQVEJMpEVFkJhFxhVcZaxGSMkM0VSWIHT1JOzwf/aAAgBAQAAPwD6p0pSlKUpSlKUpSlKUpSlKUqouRuqHjDjXI7hi1wTkN5uFhiNXHIW7BZJFyFihOAqRImllJ9JJQla9eV9iSrt1omzMdyGy5bYLdlGN3Jm4Wq7xWp0GWyrbb7DqAttxJ+xSQR/fUS5O5w474jumIWPM7z6Fyzm+xseskNlHqvyJLygkK7AdhpJUjvc12p707/MKn1KUpSlKUpSvKynKMfwnHLlluVXaNa7RaIrkybMkK7W2GUJKlLUfsAPp5+g81WPTxyHyVzDEu3KmQWxix4Re3EfuTa3YKmrg9bk7KbjKWpZ0ZHcFIaCUhDaUElRXUB6hOsDO+BuV8R40c4HRfGOQboiz4vdEZWzHRKkksIUHmiwpTASuQkb2oEeR/yjuXzq8yHiXI7NbupXhObx9j+Qz27Xb8ri36Nd7QiUtClBuU4hLbsbfboKU2Un5zsJQpVaUBBGxXNKUpXjZjDye4YtdYWGXqLab69FcTb5suJ8UzHka+Ra2u5PekH3GwdVWfTtztP5QYvmDch2aNjnJuDyhb8msrT/AHtLPaC1Pib+dcR9JCkKUNg7Sd6BVclU3c+ROpmPcZUe2dOOPzIbby0R5C+QW2lPNhRCVlHwR7CRo9uzretmpdxvkfKWRNXE8lcaW7EVsekIQh5Gm6/E9wV3lRDDXp9uka/NvuPtrzmbheWrF+ofrHczK6MwHEP2i6pemy0pCLcbY/6b3eo6S0lGhvek67TojVTDobzGzYr03cI8aZnlNuj5dkWLqn2i2ONmM/KhoKnE+m2r85QytBUoH5tFYGj4zHz7yPdHcv48z3lLiXkC15tduW8cct8WXaGkx4tlgS3VtW2Csvn1JDnel51Q7UuurSnYQ23X0ytk03K3RbgYcmIZTKHixJR2PNdyQexaQTpQ3ojZ0Qa7VKUpSlKUpWRuqyZN5x50436PLW+4vH7gVZnyGmOdn9jRHAY0V37NyJKUpOj3eEH299aRo7MSO3GjMoaaaQEIbbSEpQkDQAA8AAeAKwV+JTIu8TnnpLlWC2MXG5s508uHDflfCtyHhItpQ2t7sX6aVK0CvsVoHej7VN+ongzqC6x7RjXGXIeJYjx3h9uvrN8u0+Bkzt5uEgMoWhDEdsxGG2yQ85tayoD5TrxpWwUgISE79vFc7HtsU2PuKbFVZz11DYx082uz3rMMYyW4wr5dI9lhuWeMw+VTn+/0mChbyF7V2K0ddvsCQSBXGd9QNu4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UpSlKUr//2Q==)

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)

2.3.6.   Determination of the tyre tread depth (TTD)

According to point 4.2.2.2 of Sub-Annex 4 to Annex XXI to Regulation (EU) 2017/1151 a minimum tyre tread depth of 80 % is to be considered for the WLTP test, while pursuant to point 4.2 of Appendix 7 to Annex 4a to UN/ECE Regulation No 83, the minimum allowed tyre tread depth for the purpose of the NEDC test is to be considered as equal to 50 % of the nominal value. This results in an average difference of 2 mm in tread depth between the two procedures. The corresponding effect in terms of the resistance applied to the vehicle shall be determined for the purpose of the NEDC road load calculation in point 2.3.8 in accordance with the following formulae for the respective vehicle H and L:

![Formula](data:image/jpg;base64,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)

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)

Where:

RMn,H and RMn,L are the reference masses of vehicle H and L determined in accordance with point 2.3.1.

2.3.7.   Determination of the inertia of rotating parts

For the purpose of the correlation tool:

During the simulation of the WLTP test four rotating wheels are to be considered, while for the purpose of the NEDC tests only two rotating wheels are to be considered. The effect this has on the forces applied to the vehicle shall be taken into account in accordance with the formulae set out in point 2.3.8.1.1(a)(3).

The acceleration and deceleration forces in the correlation tool shall be calculated for the NEDC simulation by considering the inertia of only two rotating wheels.

For the purpose of a physical test:

During the WLTP coastdown setting, coastdown times are to be transferred to forces and vice versa by taking into account the applicable test mass plus the effect of rotational mass (3 % of the sum of the MRO and 25 kg). For the NEDC coastdown setting, coastdown times are to be transferred to forces and vice versa by neglecting the effect of rotational mass (only NEDC vehicle inertia calculated in point 2.3.1 is used).

2.3.8.   Determination of the NEDC road loads

2.3.8.1.   In the case of road loads being determined in accordance with points 1-4 and 6 of Sub-Annex 4 of Annex XXI to Regulation (EU) 2017/1151

2.3.8.1.1.   Determination of the NEDC road load coefficients for vehicle H

|  |  |  |  |  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| (a) | The road load coefficient F0,n expressed in Newton (N) for vehicle H shall be determined as follows:   |  |  | | --- | --- | | (1) | Effect of different inertia:  Formula  Where the factors in the formula are as defined in point 2.3.1, with the exception of the following:  F 0w,H  is the road load coefficient F0 determined for the WLTP test of vehicle H; TMw,H is the test mass used for the WLTP test of vehicle H. |  |  |  | | --- | --- | | (2) | Effect of different tyre pressure:  Formula  Where the factors in the formula are as defined in point 2.3.5. |  |  |  | | --- | --- | | (3) | Effect of the inertia of rotating parts:  Formula  In the case of a physical vehicle test, the following formula applies:  Formula |  |  |  | | --- | --- | | (4) | Effect of different tyre tread depth:  Formula  Where the factors in the formula are as defined in point 2.3.6. |  |  |  | | --- | --- | | (5) | Effect of preconditioning:  Formula  In the case of a physical vehicle test, the correction for the effect of preconditioning shall not be applied | |

|  |  |
| --- | --- |
| (b) | The road load coefficient F1n for vehicle H shall be determined as follows:  Effect of the inertia of rotating parts  Formula  In the case of a physical vehicle test, the following formula applies:  Formula |

|  |  |
| --- | --- |
| (c) | The road load coefficient F2n for vehicle H shall be determined as follows:  Effect of the inertia of rotating parts  Formula  In the case of a physical vehicle test, the following formula applies:  Formula  Where the factor  Formula  is the road load coefficient F2 determined for the WLTP test of vehicle H from which the effect of all aerodynamic optional equipment has been removed. |

2.3.8.1.2.   Determination of the NEDC road load coefficients for vehicle L

|  |  |  |  |  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| (a) | The road load coefficient F0,n for vehicle L shall be determined as follows:   |  |  | | --- | --- | | (1) | Effect of different inertia:  Formula  Where the factors in the formula are as defined in point 2.3.1, with the exception of F 0w,L  which is the road load coefficient F0 determined for the WLTP test of vehicle L, and TMw,L which is the test mass used for the WLTP test of vehicle L. |  |  |  | | --- | --- | | (2) | Effect of different tyre pressure:  Formula  Where the factors in the formula are as defined in point 2.3.5. |  |  |  | | --- | --- | | (3) | Effect of the inertia of rotating parts:  Formula  In the case of a physical vehicle test, the following formula applies:  Formula |  |  |  | | --- | --- | | (4) | Effect of different tyre tread depth:  Formula  Where the factors in the formula are as defined in point 2.3.6. |  |  |  | | --- | --- | | (5) | Effect of preconditioning:  Formula  In the case of a physical vehicle test, the correction for the effect of preconditioning shall not be applied. | |

|  |  |
| --- | --- |
| (b) | The road load coefficient F1n for vehicle L shall be determined as follows:  Effect of the inertia of rotating parts  Formula  In the case of a physical vehicle test, the following formula applies:  Formula  Where the factor F1w,L is the road load coefficient F1 determined for the WLTP test of vehicle L. |

|  |  |
| --- | --- |
| (c) | The road load coefficient F2n for vehicle L shall be determined as follows:  Effect of the inertia of rotating parts  Formula  In the case of a physical vehicle test, the following formula applies:  Formula  Where the factor F 2w,L  is the road load coefficient F2 determined for the WLTP test of vehicle L from which the effect of all aerodynamic optional equipment has been removed. |

2.3.8.2.   Determination of the road loads where, for the purpose of the WLTP test, the road loads have been determined in accordance with point 5 of Sub-Annex 4 of Annex XXI to Regulation (EU) 2017/1151.

|  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| (a) | Where the road load of a vehicle has been calculated in accordance with point 5.1 of Sub-Annex 4 to Annex XXI to Regulation (EU) 2017/1151, the NEDC road load to be used as input for the correlation tool simulations shall be derived as follows:  Vehicle H:  Formula  Formula  Formula  Vehicle L:  Formula  Formula  Formula  Where:   |  |  | | --- | --- | | F 0n,i , F 1n,i , F 2n,i , with i = H,L, | are the NEDC road load coefficients for vehicle H or L; | | T 0n,i , T 2n,i , with i = H,L | are the NEDC chassis dynamometer coefficients for vehicles H or L determined in accordance with Table 3 of Annex 4a to UN/ECE Regulation No 83; | | AW,M , BW,M , CW,M | are the chassis dynamometer coefficients for the vehicle used for the purpose of the preparation of the chassis dynamometer in accordance with points 7 and 8 of Sub-Annex 4 to Annex XXI to Regulation (EU) 2017/1151. | |

|  |  |  |  |  |  |  |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| (b) | Where default road loads have been calculated in accordance with point 5.2 of Sub-Annex 4 to Annex XXI to Regulation (EU) 2017/1151, the NEDC road loads shall be calculated as follows:  Vehicle H:  Formula  Formula  Formula  Vehicle L:  Formula  Formula  Formula  Where:   |  |  | | --- | --- | | F 0n,i , F 1n,i , F 2n,i , with i = H,L, | are the NEDC road load coefficients for vehicle H or L; | | T 0n,i , T 2n,i , with i = H,L | are the NEDC chassis dynamometer coefficients for vehicles H or L determined in accordance with Table 3 of Annex 4a to UN/ECE Regulation No 83; | | AW,i , BW,i , CW,i , with i = H,L | are the chassis dynamometer coefficients for vehicles H or L determined for the purpose of the preparation of the chassis dynamometer in accordance with points 7 and 8 of Sub-Annex 4 to Annex XXI to Regulation (EU) 2017/1151. | |

2.4.   Input data matrix

The manufacturer shall determine the input data for each vehicle H and vehicle L in accordance with point 2.2 and submit the completed matrix set out in Table 1 to the type-approval authority or, where applicable, the technical service appointed to perform the test, with the exception of entries 31, 32 and 33 (the NEDC road loads) which shall be calculated by the type-approval authority or the technical service in accordance with the formulae specified in point 2.3.8.

The type-approval authority or technical service shall independently verify and confirm the correctness of the input data provided by the manufacturer. In case of doubt, the type-approval authority or technical service shall determine the relevant input data independently of the information provided by the manufacturer or, where appropriate, act in accordance with point 3.2.7 and 3.2.8.

Table 1

Matrix of input data for the correlation tool

|  |  |  |  |  |
| --- | --- | --- | --- | --- |
| No | Input parameters for the correlation tool | Unit | Source | Remarks |
| 1 | Fuel type | — | Point 3.2.2.1 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 | Diesel/Petrol/LPG/NG or Biomethane/Ethanol(E85)/Biodiesel |
| 2 | Fuel lower heating value | kJ/kg | Declaration by manufacturer and/or technical service |  |
| 3 | Fuel carbon content | % | Idem | % of carbon in the fuel by weight, e.g. 85,5 % |
| 4 | Engine type |  | Point 3.2.1.1 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 | Positive ignition or compression ignition |
| 5 | Engine capacity | cc | Point 3.2.1.3 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 |  |
| 6 | Engine stroke | mm | Point 3.2.1.2.2 Appendix 3 to Annex I to Regulation (EU) 2017/1151 |  |
| 7 | Rated engine power | kW…min–1 | Point 3.2.1.8 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 |  |
| 8 | Engine speed at rated engine power | min–1 | Point 3.2.1.8 in Appendix 3 to Annex I to Regulation (EU) 2017/1151 | Engine speed at maximum net power |
| 9 | High engine idling speed[(\*1)](#ntr*1-L_2017175EN.01068501-E0003) | min–1 | Point 3.2.1.6.1 Appendix 3 to Annex I to Regulation (EU) 2017/1151 |  |
| 10 | Maximum net torque[(\*1)](#ntr*1-L_2017175EN.01068501-E0003) | Nm at… min–1 | Point 3.2.1.10 Appendix 3 to Annex I to Regulation (EU) 2017/1151 |  |
| 11 | T1 map speed[(\*1)](#ntr*1-L_2017175EN.01068501-E0003) | rpm | Sub-Annex 2 to Annex XXI to Regulation (EU) 2017/1151 | Array |
| 12 | T1 map torque[(\*1)](#ntr*1-L_2017175EN.01068501-E0003) | Nm | Sub-Annex 2 to Annex XXI to Regulation (EU) 2017/1151 | Array |
| 13 | T1 map power[(\*1)](#ntr*1-L_2017175EN.01068501-E0003) | kW | Sub-Annex 2 to Annex XXI to Regulation (EU) 2017/1151 | Array |
| 14 | Engine idle speed | rpm | Sub-Annex 2 to Annex XXI to Regulation (EU) 2017/1151 | Idle speed in warm condition |
| 15 | Engine idle fuel consumption | g/s | Manufacturer declaration | Idle fuel consumption in warm condition |
| 16 | Final drive ratios | — | Point 4.6 in Appendix 3 to Annex I to Regulation (EU) 2017/1151 | Final drive ratio |
| 17 | Tyre code[(\*2)](#ntr*2-L_2017175EN.01068501-E0004) | — | Point 6 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 | Tyre code (e.g. P195/55R1685H) of the tyres used in the WLTP test |
| 18 | Gearbox type | — | Point 4.5 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 | automatic/manual/CVT |
| 19 | Torque converter | — | Manufacturer declaration | 0 = No, 1 = Yes; Does the vehicle use torque converter? |
| 20 | Fuel saving gear for automatic transmission | — | Manufacturer declaration | 0 = No, 1 = Yes  Setting this value to 1 will allow the correlation tool to use a higher gear at constant speed driving than in the case of transient conditions |
| 21 | Drive mode | — | Point 2.3.1 of Sub-Annex 5 to Annex XXI to Regulation (EU) 2017/1151 | Two-wheel drive, four-wheel drive. |
| 22 | Start-stop activation time | sec | Manufacturer declaration | Start-stop activation time elapsed from test start |
| 23 | Nominal voltage of the alternator | V | Point 3.4.4.5 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 |  |
| 24 | Battery capacity | Ah | Point 3.4.4.5 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 |  |
| 25 | Starting ambient temperature WLTP | °C |  | Default value = 23 °C  WLTP test measurement |
| 26 | Alternator maximum power | kW | Manufacturer declaration |  |
| 27 | Efficiency of the alternator | — | Manufacturer declaration | Default value = 0,67 |
| 28 | Gearbox ratios | — | Point 4.6 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 | Array: ratio gear 1, ratio gear 2, etc. |
| 29 | Ratio of vehicle speed to engine speed[(\*2)](#ntr*2-L_2017175EN.01068501-E0004) | (km/h)/rpm | Manufacturer declaration | Array: [constant velocity speed ratio gear 1, constant velocity speed ratio gear 2, ...]; Alternative to gear box ratios |
| 30 | Vehicle inertia NEDC | kg | Point 2.6 of Appendix 3 to Annex I to Regulation (EU) 2017/1151 | To be derived in accordance with point 2.3.1 of this Annex. |
| 31 | F0 NEDC | N | Point 2.3.8 of this Annex, To be completed by the type-approval authority or Technical Service | F0 road load coefficient |
| 32 | F1 NEDC | N/(km/h) | Idem | F1 road load coefficient |
| 33 | F2 NEDC | N/(km/h)2 | Idem | F2 road load coefficient |
| 34 | Test mass WLTP | kg | Point 2.4.6 of the Appendix to the information document in Appendix 3 to Annex I to Regulation (EU) 2017/1151 | no correction for rotating parts |
| 35 | F0 WLTP | N | Point 2.4.8 of the Appendix to the information document in Appendix 3 to Annex I to Regulation (EU) 2017/1151 | F0 road load coefficient |
| 36 | F1 WLTP | N/(km/h) | Idem | F1 road load coefficient |
| 37 | F2 WLTP | N/(km/h)2 | Idem | F2 road load coefficient |
| 38 | WLTP CO2 value phase 1 | gCO2/km | Point 2.1.1 of test report of Annex I, Appendix 8a of Regulation (EU) 2017/1151 | Phase low, bag values not corrected for RCB, not rounded WLTP test measurement |
| 39 | WLTP CO2 value phase 2 | gCO2/km | Idem | Phase medium, bag values not corrected for RCB, not rounded WLTP test measurement |
| 40 | WLTP CO2 value phase 3 | gCO2/km | Idem | Phase high, bag values not corrected for RCB, not rounded WLTP test measurement |
| 41 | WLTP CO2 value phase 4 | gCO2/km | Idem | Phase extra high, bag values not corrected for RCB, not rounded  WLTP test measurement |
| 42 | Turbo- or Supercharger | — | Manufacturer declaration | 0 = No | 1 = Yes — Is the engine equipped with any kind of charging system? |
| 43 | Start-stop | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the vehicle have start-stop system? |
| 44 | Brake energy Recuperation | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the vehicle have energy recuperation technologies? |
| 45 | Variable valve actuation | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the engine feature variable valve actuation? |
| 46 | Thermal management | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the vehicle have technologies that actively manage temperature at the gear box? |
| 47 | Direct injection/Port Fuel Injection | — | Manufacturer declaration | 0 = PFI | 1 = DI |
| 48 | Lean burn | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the engine use lean burn? |
| 49 | Cylinder deactivation | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the engine use a cylinder deactivation system? |
| 50 | Exhaust gas recirculation | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the vehicle have an external EGR system? |
| 51 | Particulate filter | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the vehicle have a particulate filter? |
| 52 | Selective Catalytic Reduction | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the vehicle have an SCR system? |
| 53 | NOx storage catalyst | — | Manufacturer declaration | 0 = No | 1 = Yes — Does the vehicle have a NOx storage catalyst? |
| 54 | WLTP Time | sec | WLTP test measurement (identified in accordance to Point 2.2 of this Annex) | Array: OBD and Chassis Dynamometer data, 1hz |
| 55 | WLTP Velocity (theoretical) | km/h | As defined in sub-Annex 1 to Annex XXI to Regulation (EU) 2017/1151 | Array: 1hz, resolution 0,1 km/h. If not provided the speed profile defined in Point 6 of sub-Annex 1 to Annex XXI to Regulation (EU) 2017/1151 and in particular to Tables A1/7-A1/9, A1/11, and A1/12 applies |
| 56 | WLTP Velocity (actual) | km/h | WLTP test measurement (identified in accordance to Point 2.2 of this Annex) | Array: OBD and Chassis Dynamometer data, 1hz, resolution 0,1 km/h |
| 57 | WLTP Gear (theoretical) | — | As defined in sub-Annex 2 to Annex XXI to Regulation (EU) 2017/1151 | Array: 1hz. If not provided, the calculation by the correlation tool applies |
| 58 | WLTP Engine Speed | rpm | WLTP test measurement (identified in accordance to Point 2.2 of this Annex) | Array: 1hz, 10 RPM resolution from OBD |
| 59 | WLTP Engine Coolant Temperature | °C | Idem | Array: OBD Data, 1hz, 0,5 °C resolution |
| 60 | WLTP Alternator Current | A | As defined, for the low-voltage battery current, in Appendix 2 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151 | Array: 1hz, 0,1 A resolution, external measurement device synchronised with the chassis dynamometer |
| 61 | WLTP Low-Voltage Battery Current | A | As defined in Appendix 2 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151 | Array: 1hz, 0,1 A resolution, external measurement device synchronised with the chassis dynamometer |
| 62 | WLTP calculated load | — | As defined in Annex 11 of UN/ECE Regulation No 83 | Array: OBD data, 1hz at least (higher frequencies possible, 1 % resolution) WLTP test measurement |
| 63 | WLTP preconditioning time | sec | Preconditioning test measurement, point 1.2.6 of Annex XXI, Sub-Annex 6 of Regulation (EU) 2017/1151 | Array: OBD and Chassis Dynamometer data, 1hz |
| 64 | WLTP preconditioning velocity | km/h | Idem | Array: OBD and Chassis Dynamometer data, 1hz, resolution 0,1 km/h |
| 65 | WLTP preconditioning alternator current | A | To be measured in accordance with the methodology defined for the low-voltage battery current, in point 2.1 of Appendix 2 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151 | Array: 1hz, 0,1 A resolution, external measurement device synchronised with the chassis dynamometer |
| 66 | WLTP preconditioning low-voltage battery current | A | As defined in Appendix 2 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151 | Array: 1hz, 0,1 A resolution, external measurement device synchronised with the chassis dynamometer |

3.   DETERMINATION OF NEDC CO2 EMISSION AND FUEL CONSUMPTION VALUES FOR VEHICLE H AND L

3.1.   Determination of NEDC CO2 reference values, phase-specific values and fuel consumption values for vehicle H and L

The type-approval authority shall ensure that the NEDC CO2 reference value for the respective vehicle H and, where applicable, vehicle L of a WLTP interpolation family as well as the phase-specific values and the fuel consumption is determined in accordance with points 3.1.2 and 3.1.3.

In the case the NEDC road loads calculated in accordance with point 2.3.8 for vehicle H and L are the same, the NEDC CO2 reference value shall be determined for vehicle H only.

3.1.1.   Correlation tool input and output

The type-approval authority or designated technical service shall ensure that the input data file for the correlation tool is complete. Following a completed test run on the correlation tool, the person designated in accordance with point 2.1.1 shall digitally sign

|  |  |
| --- | --- |
| (a) | the original correlation output report; |

|  |  |
| --- | --- |
| (b) | the summary text file. |

The correlation output report referred to in point (a) shall include the input data used, the output data resulting from the execution of the correlation, the manufacturer-declared value and, where available, the result of physical vehicle tests. The summary text file referred to in point (b) shall include the manufacturer-declared value and the CO2 emission value resulting from the correlation tool and relevant identifiers, such as the code for the interpolation family concerned.

3.1.2.   NEDC CO2 reference value for vehicle H

The correlation tool shall be used to execute the following simulated tests using the relevant input data file referred to in point 3.1.1.:

|  |  |
| --- | --- |
| (a) | a WLTP test of vehicle H; |

|  |  |
| --- | --- |
| (b) | an NEDC test of vehicle H. |

The NEDC CO2 reference value for vehicle H shall be determined as follows:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| CO2,H | is the NEDC CO2 reference value for vehicle H; |
| WLTPACGcorr,H | is the average of the WLTP CO2 values for vehicle H resulting from the tests referred to in point 2.2 corrected for the REESS charge balance (RCB) following the procedure set out in Appendix 2 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151; Correction for the RCB shall be applied in cases when RCB is negative (corresponding to REESS discharging) and positive (corresponding to REESS charging) and also in the cases when the correction criterion c specified in Table A6. App 2/2 in that Appendix is less than the applicable tolerance according to that Table; |
| RCBcorr,H | is the CO2 correction for RCB of the WLTP test for vehicle H selected in accordance with point 2.2 for the purpose of defining the input data, gCO2/km, calculated following the procedure set out in Appendix 2 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151 with RCB negative (corresponding to REESS discharging) and positive (corresponding to REESS charging); |
| DEc,H | is the difference between the WLTP test result referred to in point (a) and the NEDC test result referred to in point (b) for vehicle H; |
| Ki, H | is the value determined in accordance with appendix 1 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151 for vehicle H. |

3.1.3.   NEDC CO2 reference value for vehicle L

Where applicable, the following simulations shall be performed using the correlation tool and the relevant input data as recorded in the matrix referred to in point 2.4:

|  |  |
| --- | --- |
| (a) | a WLTP test of vehicle L; |

|  |  |
| --- | --- |
| (b) | an NEDC test of vehicle L. |

The NEDC CO2 reference value for vehicle L shall be determined as follows:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| CO 2,L | is the NEDC CO2 reference value for vehicle L; |
| WLTPACGcorr,L | is the average of the WLTP CO2 values resulting from the vehicle L tests referred to in point 2.2 corrected for the REESS charge balance (RCB) following the procedure set out in Appendix 2 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151; Correction for the RCB shall be applied in cases when RCB is negative (corresponding to REESS discharging) and positive (corresponding to REESS charging) and also in the cases when the correction criterion c specified in Table A6. App 2/2 in that Appendix is less than the applicable tolerance according to that Table; |
| RCBcorr,L | is the CO2 correction for RCB of the WLTP test of vehicle L selected in accordance with point 2.2 for the purpose of defining the input data, gCO2/km, calculated following the procedure set out in Appendix 2 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151 with RCB negative (corresponding to REESS discharging) and positive (corresponding to REESS charging); |
| DEc,L | is the difference between the WLTP test result referred to in point (a) and the NEDC test result referred to in point (b) for vehicle L; |
| Ki,L | is the value determined in accordance with appendix 1 to Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151 for vehicle L. |

3.2.   Interpretation of the NEDC CO2 reference values determined for vehicle H and L

For each WLTP interpolation family, the manufacturer shall declare the NEDC CO2 mass emissions combined value for vehicle H, and, where applicable, vehicle L, to the approval authority. The type-approval authority shall ensure that the NEDC CO2 reference values for vehicle H and, where applicable, vehicle L are determined in accordance with point 3.1.2 and 3.1.3, and that the reference values for the respective vehicle is interpreted in accordance with points 3.2.1 to 3.2.5.

3.2.1.   The NEDC CO2 value for test vehicle H or L to be used for the purpose of the calculations set out in point 4 shall be the manufacturer-declared value, if the NEDC CO2 reference value does not exceed that value by more than 4 per cent. The reference value may be lower without any limitation.

3.2.2.   If the NEDC CO2 reference value exceeds the manufacturer-declared value by more than 4 per cent, the reference value may be used for the purpose of the calculations set out in point 4 for test vehicle H or L, or the manufacturer may request that a physical measurement is performed under the responsibility of the type-approval authority in accordance with the procedure referred to in Annex XII to Regulation (EC) No 692/2008, taking into account the precisions specified in point 2 of this Annex.

3.2.3.   If the physical measurement referred to in point 3.2.2, amplified by the Ki-factor, does not exceed the manufacturer-declared value by more than 4 per cent, the declared value shall be used for the purpose of the calculations set out in point 4.

3.2.4.   If the physical measurement, amplified by the Ki-factor, exceeds the manufacturer-declared value by more than 4 per cent, another physical measurement of the same vehicle shall be performed and the results shall be amplified by the Ki-factor. If the average of those two measurements does not exceed the declared value by more than 4 per cent, the declared value shall be used for the purpose of the calculations set out in point 4.

3.2.5.   If the average of the two measurements referred to in point 3.2.4 exceeds the manufacturer-declared value by more than 4 per cent, a third measurement shall be performed and the results shall be amplified by the Ki-factor. The average of the three measurements shall be used for the purpose of the calculations set out in point 4.

3.2.6.   Where the NEDC CO2 value for vehicle H or L is determined in accordance with point 3.2.1, the type-approval authority or the designated technical service shall use the relevant commands in the correlation tool to send the signed summary text file to a time-stamp-server and the following functional mailbox:

EC-CO2-LDV-IMPLEMENTATION@ec.europa.eu

A time-stamped reply shall be sent in return including a randomly generated integer number in the range 1 to 100 calculated by the correlation tool. Where the number is in the range of 91 to 100 the vehicle shall be selected for one physical measurement in accordance with the procedure referred to in Annex XII to Regulation (EC) No 692/2008, taking into account the precisions specified in point 2 of this Annex. The test results shall be documented in accordance with Annex VIII to Directive 2007/46/EC.

In the case the NEDC CO2 value for both vehicles H and L is determined in accordance with point 3.2.1, the vehicle configuration selected for physical measurement shall be the vehicle L, if the random number is in the range to 91 to 95, and vehicle H, if the random number is in the range of 96 to 100.

3.2.7.   Notwithstanding point 3.2.6, a type-approval authority shall, where applicable, based on a proposal by a technical service, in those cases where the NEDC CO2 value is determined in accordance with point 3.2.1, request that a vehicle undergoes one physical measurement where, based on their independent expertise, there are justified reasons to consider that the declared NEDC CO2 value is too low in relation to a measured NEDC CO2 value. The test results shall be documented in accordance with Annex VIII to Directive 2007/46/EC.

3.2.8.   Where a physical test is performed in accordance with point 3.2.6 or point 3.2.7, the type-approval authority shall for each WLTP interpolation family record the relative deviation (De) between the measured value and the manufacturer-declared value determined as follows:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| RTr | is the random test result, amplified by the Ki-factor; |
| DV | is the manufacturer-declared value. |

The De factor shall be recorded in the type-approval certificate and in the certificate of conformity.

Where the type-approval authority finds that the physical test results do not confirm the input data provided by the manufacturer and, in particular, the data referred to in points 20, 22 and 44 of Table 1 in point 2.4, a verification factor shall be set to 1 and be recorded in the type-approval certificate and in the certificate of conformity. Where the input data is confirmed or where the error in the input data is not to the benefit of the manufacturer the verification factor shall be set to 0.

3.3.   Calculation of the NEDC phase-specific CO2 values and fuel consumption values for vehicle H and L

The type-approval authority or, where applicable, the technical service shall determine the NEDC phase-specific values and the fuel consumption values for vehicle H and L in accordance with points 3.3.1 to 3.3.4.

3.3.1.   Calculation of the NEDC phase-specific CO2 values for vehicle H

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)

Where:

|  |  |
| --- | --- |
| p | is the NEDC phase ‘UDC’ or ‘EUDC’; |
| NEDC CO2,p,H,c | is the NEDC CO2 test result for the phase p referred to in point (b) of paragraph 3.1.2 |
| NEDC CO2,p,H | is the NEDC phase-specific value for the vehicle H of the applicable phase p, gCO2/km |
| CO2,AF,H | is the adjustment factor for the vehicle H calculated by the ratio between the NEDC CO2 value determined in accordance with point 3.2 and the NEDC test result referred to in point (b) of paragraph 3.1.2 |

3.3.2.   Calculation of the NEDC phase-specific CO2 values for vehicle L

The NEDC phase-specific values shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| p | is the NEDC phase ‘UDC’ or ‘EUDC’; |
| NEDC CO2,p,L,c | is the NEDC CO2 test result for the phase p determined in accordance with point (b) of paragraph 3.1.3; |
| NEDC CO2,p,L | is the NEDC phase-specific value for the vehicle L of the applicable phase p, gCO2/km; |
| CO2,AF,L | is the adjustment factor for the vehicle L calculated by the ratio between the NEDC CO2 value determined in accordance with point 3.2 and the NEDC test result referred to in point (b) of paragraph 3.1.3. |

3.3.3.   Calculation of the NEDC fuel consumption for vehicle H

3.3.3.1.   Calculation of the NEDC fuel consumption (combined)

The NEDC fuel consumption (combined) for vehicle H shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| NEDC FCH,c | is the NEDC fuel consumption (combined) test result determined in accordance with Annex XII to Regulation (EC) No 692/2008 using the CO2 emissions determined in accordance with point (b) of paragraph 3.1.2 or a physical measurement result as referred to in point 3.2.2; the emissions of other pollutants relevant to the fuel consumption calculation (hydrocarbons, carbon monoxide) shall be considered equal to 0 (zero) g/km; |
| NEDC FCH | is the NEDC fuel consumption (combined) for the vehicle H, l/100km; |
| CO2,AF,H | is the adjustment factor for the vehicle H calculated by the ratio between the NEDC CO2 value determined in accordance with point 3.2 and the NEDC test result referred to in point (b) of paragraph 3.1.2. |

3.3.3.2.   Calculation of the NEDC phase-specific fuel consumption for vehicle H

The NEDC phase-specific fuel consumption for vehicle H shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| p | is the NEDC phase ‘UDC’ or ‘EUDC’; |
| NEDC FCp,H,c | is the NEDC fuel consumption for the phase p determined in accordance with Annex XII to Regulation (EC) No 692/2008 using the CO2 emissions determined in accordance with point (b) of paragraph 3.1.2 or a physical measurement result as referred to in point 3.2.2; the emissions of other pollutants relevant to the fuel consumption calculation (hydrocarbons, carbon monoxide) shall be considered equal to 0 (zero) g/km; |
| NEDC FCp,H | is the NEDC phase-specific fuel consumption for the vehicle H of the applicable phase p, l/100km; |
| CO2,AF,H | is the adjustment factor for the vehicle H calculated by the ratio between the NEDC CO2 value determined in accordance with point 3.2 and the NEDC test result referred to in point (b) of paragraph 3.1.2. |

3.3.4.   Calculation of the NEDC fuel consumption for vehicle L

3.3.4.1.   Calculation of the NEDC fuel consumption (combined) for vehicle L

The NEDC combined fuel consumption for vehicle L shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| NEDC FCL,c | is the NEDC fuel consumption (combined) test result determined in accordance with Annex XII to Regulation (EC) No 692/2008 using the CO2 emissions determined in accordance with point (b) of paragraph 3.1.3 or a physical measurement result as referred to in point 3.2.2; the emissions of other pollutants relevant to the fuel consumption calculation (hydrocarbons, carbon monoxide) shall be considered equal to 0 (zero) g/km; |
| NEDC FCL | is the NEDC fuel consumption (combined) for the vehicle L, l/100km; |
| CO2,AF,L | is the adjustment factor for the vehicle L calculated by the ratio between the NEDC CO2 value determined in accordance with point 3.2 and the NEDC test result referred to in point (b) of paragraph 3.1.3; |

3.3.4.2.   Calculation of the NEDC phase-specific fuel consumption for vehicle L

The NEDC phase-specific fuel consumption for vehicle L shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| p | is the NEDC phase ‘UDC’ or ‘EUDC’; |
| NEDC FCp,L,c | is the NEDC fuel consumption test result for the phase p determined in accordance with Annex XII to Regulation (EC) No 692/2008 using the CO2 emissions determined in accordance with point (b) of paragraph 3.1.2 or a physical measurement result as referred to in point 3.2.2; the emissions of other pollutants relevant to the fuel consumption calculation (hydrocarbons, carbon monoxide) shall be considered equal to 0 (zero) g/km; |
| NEDC FCp,L | is the NEDC phase-specific fuel consumption for the vehicle L of the applicable phase p, l/100km; |
| CO2,AF,L | is the adjustment factor for the vehicle L calculated by the ratio between the NEDC CO2 value determined in accordance with point 3.2 and the NEDC test result referred to in point (b) of paragraph 3.1.3. |

4.   CALCULATION OF THE NEDC CO2 VALUES AND FUEL CONSUMPTION VALUES TO BE ATTRIBUTED TO INDIVIDUAL M1 VEHICLES

The manufacturer shall calculate the (phase-specific and combined) NEDC CO2 values and the fuel consumption values to be attributed to individual passenger cars in accordance with points 4.1 and 4.2 and record those values in the certificates of conformity.

The provisions on rounding set out in point 1.3 of Sub-Annex 7 to Annex XXI to Regulation (EU) 2017/1151 shall apply.

4.1.   Determination of the NEDC CO2 values in the case of a WLTP interpolation family based on vehicle H

Where the CO2 emissions of the WLTP interpolation family are determined by reference to vehicle H only in accordance with point 1.2.3.1 of Sub-Annex 6 to Annex XXI to Regulation (EU) 2017/1151, the NEDC CO2 value to be recorded in the certificates of conformity of the vehicles belonging to that family shall be the NEDC CO2 emissions determined in accordance with point 3.2 of this Annex and recorded in the type-approval certificate of the vehicle H in question.

4.2.   Determination of the NEDC CO2 value in the case of a WLTP interpolation family based on vehicle L and vehicle H

4.2.1.   Road load calculation of an individual vehicle

4.2.1.1.   Mass of the relevant vehicle

The NEDC reference mass of the individual vehicle (RMn,ind) shall be determined as follows:

![Formula](data:image/jpg;base64,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)

Where: MRO
ind
 is the mass in running order as defined in Article 3(d) of Regulation (EC) No 443/2009 of the individual vehicle.

The mass to be used for the calculation of the NEDC CO2 values of the individual vehicle shall be the inertia value set out in Table 3 of Annex 4a to UN/ECE Regulation No 83 which is equivalent to the reference mass determined in accordance with this point and referred to as. TMn,ind.

4.2.1.2.   Rolling resistance of the individual vehicle

The tyre rolling resistance values determined in accordance with point 3.2.3.2.2.2 of sub-Annex 7 to Annex XXI to Regulation (EU) 2017/1151 shall be used for the purpose of the interpolation of the NEDC CO2 value of the individual vehicle.

4.2.1.3.   Aerodynamic drag of an individual vehicle

The aerodynamic drag of the individual vehicle shall be calculated by considering the difference in aerodynamic drag between an individual vehicle and vehicle L, due to a difference in body shape (m2):

![Formula](data:image/jpg;base64,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)

Where:

|  |  |
| --- | --- |
| Cd | is the aerodynamic drag coefficient; |
| Af | is the frontal area of the vehicle, m2. |

The type-approval authority or, where applicable, the technical service shall verify if the wind tunnel facility referred to in 3.2.3.2.2.3. in Sub-Annex 7 to Annex XXI to Regulation (EU) 2017/1151 is qualified to accurately determine the Δ(Cd ×Af) for body shapes that differ between vehicle L and H. If the wind tunnel facility is not qualified, the 
![Formula](data:image/jpg;base64,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)
 for vehicle H shall apply for the individual vehicle.

If vehicles L and H have the same body shape, the value of 
![Formula](data:image/jpg;base64,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 for the interpolation method shall be set to zero.

4.2.1.4.   Calculation of the road load for an individual vehicle in a WLTP interpolation family

The road load coefficients F0,n, F1,n and F2,n for test vehicles H and L determined in accordance with point 2.3.8 are referred to as F0n,H, F1n,H and F2n,H and F0n,L, F1n,L and F2n,L respectively.

The road load coefficients f0n,ind, f1n,ind and f2n,ind for an individual vehicle shall be calculated in accordance with the following formula:

Formula 1

![Formula](data:image/jpg;base64,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)

Or, if 
![Formula](data:image/jpg;base64,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)
 Formula 2 shall apply:

Formula 2

![Formula](data:image/jpg;base64,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)

or, if 
![Formula](data:image/jpg;base64,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)
 = 0, Formula 3 shall apply:

Formula 3

![Formula](data:image/jpg;base64,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)

where:

![Formula](data:image/jpg;base64,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)

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lUmXU5GVqqAHFiK246oZOSQkgDycDzp9bRXZB6u1I3OepC6C9tVubUYtAMqmrZmqjswhGfalNOqDjK3BKeyj28S2yVI5IKdOqPuvtbJu5zb2NuTaz10sEpdobdYjKqCCACQqOF9weCD5T+I1K9GobG3m2hmXILNibo2m/cBc7P2lusx1TefLjjsBfc+SB8fJH56mWk51cVbdmm7C3NG2StOp1+76qymlwm6e4229FQ+eDslKlqACm2yspIzhZQcEA6RdmdRfUpYFo0ex7W+nDd8Oj0KCxToLAu2Ie2w0gIQCezknA8k+Sck+TpabEUnqVoXXPP3mj9Ll0WFZO5TKYd3QH6hHmMsysEpnJLfAj96lKlew47r5z7vHdtlO7NI6+7r6mpfThuj+yVatBq3ozaKdCMz1KfSZUpv1eA3/d3PdyJ/h8eci70Hb636Fa9Ztm0m3aCzWn6lOdeir5uNTJzjjr8hHd5JCi66twJIKAfHHj41R6+tnbPolY2H2I22XAlVHZe6KXOui/3mGaeijxlODtwHnmylK5U5bjKBHClLJLaljLiVG4vUDeF2bebI3tuDZD1IbrFrUOXW2RVYjsmK4mK2p5xpSGnG15WhCkpUFe1SgohQHEpLbXqH38lXtsRSdz4Njej3qo1XqyodHhSmnqQmLBZlsDvuSHEvlaXcLHbQEk4BOMm1+q81jYTqWqNWmz4PWzdFOjSZDjzMNmzqMpuM2pRKWklbZUUpBCQVEk48knWqnp56oUqCh113acHODZdDI/9WrGR0PNR225D3edShIW5xCeaseTgfGT5xqhO48PdaZ9Qe0Ooqm9Pe5My0bQtmXbktxmBE78iQTOSl1hBkjm0r1DZCiUnBPtGNXXs62Lco0ap1qgW+9RZF2zBXqq08T3lTXI7LSluJKlJQsNstJKUnjlGfJJJohv7sXZ1tbWULplsypxq9etLudF51q+qgwxBXaUByY5Idqc6W1wQ24pOW20FQW6lJUkANjDvrm7/UvJ6kL22ftSRt3Gtu2Laj3SKpOo0x6U2h4vJaiKbRMQHFqUypRdHFKUpI4kqGm505bm1beTYyyN0a7AiQqjctGj1CVHicuy26se4I5EqCcjIBJIzjJ+dVvtx+5mPqYbpO2tSaRPk/0d0hLgqNQciJSguNZKVtsOknIHjAH+fjGp50p/cFb3dSDtYgQIc9d503vtQn1PNA/Z4x8OKbbUv5zkoHkn/U2CvKy7U3DtqbZ170CFW6JUUoTLgTWg4y+ErStIUk+CApKT/qBpUf1IOkb/AA62H/s7epbtx087IbQVaTXdsNrbctifMj+kkSKZBSwt1nklXBRT8jklJx+Y0w9UBviHuu/9Qe3uo6D09bly7Qty1ZFtSFswIfqHpHKYA4ygyhyaPfbIUSk+T7RjV2rRtK26FEqlRtyhvUR+6pqq7U0LJ7qpzzLSFuLSpSkpXxabBSn25R8HJJojvhsdZdr7c2b0yWZUYtbu+2rpYu+v39PYYgLtOnuTXJC502W3wQh5xJDTbRUFupRzAAQkhkXN1F9T8C7uomnUlW2iKDsbTF1hiU/Rprkio9ymqnx4akCYkIUlA4OPDwTgpbGSE2l2xuyTfm29q3vMiNRZFwUSBVXWGlFSGlvx0OqQknyQCsgE/lqsW1vb/tL963DxyLGoA5fjghrIz/2H6atTbt425dkmtxLfqaJbtu1NdHqQShSexMS006prJAyQh9s5GR7sZyDrskA+CM6xwR/KP01nin+UfprHBH8o/TX5TovroT8PvvMd9pTfdYXwcb5AjklX4KGcg/gdV3tvoF2BtisRqxE/bWSpist3AuNMvGovxpNQQ8h9Mh9lTvB5fdbQslYJKkgnOthfTai7t1N76nc8apUu09zKVRqLKaiVxzu1QsMLTJkJCD/dW1NONxS2PKwy4o4Dgz3o3Sht3Fqth1pqvXkZm2kVyDbTirhfV6NhxIQ42QfDgU2lLZ58iUISM+M6dGs6NGvPBP8AKP01kjKSnJGfHjVbJH0/tgp9Vq1Xqz99T3bgmeurLci86iWam74yZDYcCXAQAnBGOPtGBgan1Q6cbMn3/c25abhu+JXLtpn2apORa++00qGEqS2222Pa1w5LUhSAFJUtagcqVmBXZ0rQKRaG1O3G2rNaXTbHvim16HMn3C4r7LDiqLjrYCvfJbcbSuMlnOEmTzyEt8dTqh9NdiUDeSpb8QqrdCrtrDPpJ7ztbecjvxRjhHLB/dhtHFPEAAgjOclWehtvsNam193XLetArdzyqld7yZVZ+5Vh2W1JkJSEId7a/ahSUJCBw4jgEpxhKcMnRo0a88E/yj9NC080FHIpyMZScEarb/Z/bAvVWoVapO3zUHK1PFTq7Uq8qitipyMglUlsOBLueIBCh8ADwANSqo9J221Tn7iVCTWLw5bqNdi6UJuF8NzWgntpbCf+WlLOWQEY/dHh5GNcW/unNS6Vs3Z1kisPw9vbvptVYqc6vLK6ZT4g5LaUD75QcaR6VKCfaHuaiQghXbV0p2Gm/Ll3NhXRfMC5rujJhVWoxLkfadcjpx22m8f8FKABx7fEjHzkkmW7O7L2Xsdb0+27I+6qj1SqyK1NeqdSenyZEx8IDrq3niVqKu2knJ+cn5J1PNGjRo0aNGjRo0aNGjRo0aNGjRo0aNGjRo0a/9k=)

4.2.1.5.   Calculation of cycle energy demand

The cycle energy demand of the applicable NEDC Ek,n
and the energy demand for all applicable cycle phases Ek,p,n applicable for individual vehicles in the WLTP interpolation family shall be calculated according to the procedure in paragraph 5 of Sub-Annex 7 to Annex XXI to Regulation (EU) 2017/1151, for the following sets k of road load coefficients and masses:

|  |  |  |
| --- | --- | --- |
| k = 1 | : | Formula  (test vehicle L) |
| k = 2 | : | Formula  (test vehicle H) |
| k = 3 | : | Formula  (an individual vehicle in the WLTP interpolation family) |

In case the chassis dynamometer coefficients specified in Table 3 of Annex 4a of UN/ECE Regulation No 83 are applied, the following formulae shall be used:

![Formula](data:image/jpg;base64,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)

4.2.1.6.   Calculation of the NEDC CO2 value for an individual vehicle by the CO2 interpolation method

For each cycle phase p of the NEDC applicable for individual vehicles in the WLTP interpolation family, the contribution to the total mass of CO2 for an individual vehicle shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

The mass of CO2 emissions, g/km, attributed to an individual vehicle of the WLTP interpolation family 
![Formula](data:image/jpg;base64,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)
 shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

The terms E1,p,n, E2,p,n, E3,p,n, and E1,n, E2,n, E3,n respectively are defined in paragraph 4.2.1.5.

4.2.1.7.   Calculation of the NEDC fuel consumption value for an individual vehicle by the interpolation method

For each cycle phase p of the NEDC applicable for individual vehicles in the WLTP interpolation family, the fuel consumption, l/100km, shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

The fuel consumption, l/100km, of the complete cycle for an individual vehicle of the WLTP interpolation family shall be calculated as follows:

![Formula](data:image/jpg;base64,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)

The terms E1,p,n, E2,p,n, E3,p,n, and E1,n, E2,n, E3,n respectively are defined in paragraph 4.2.1.5.

5.   RECORDING OF DATA

The type-approval authority or the designated Technical Service shall ensure that the following information is recorded:

|  |  |
| --- | --- |
| (a) | the correlation tool output report referred to in point 3.1.1 including the NEDC CO2 reference value referred to in points 3.1.2 and 3.1.3 and the manufacturer-declared value, as a test report in accordance with Annex VIII to Directive 2007/46/EC; |

|  |  |
| --- | --- |
| (b) | the NEDC CO2 values resulting from physical measurements referred to in point 3.2 in this Annex, in the type-approval certificate specified in the Appendix to the Addendum to the type-approval certificate set out in Appendix 4 to Annex I to Regulation (EU) 2017/1151; |

|  |  |
| --- | --- |
| (c) | the deviation factor (De) and the verification factor determined in accordance with point 3.2.8 of this Annex (if available), in the type-approval certificate as specified in the Appendix to the Addendum to the type-approval certificate set out in Appendix 4 to Annex I to Regulation (EU) 2017/1151 and in entry 49.1 of the certificate of conformity as specified in Annex IX to Directive 2007/46/EC; |

|  |  |
| --- | --- |
| (d) | the NEDC phase-specific values and the phase-specific and combined fuel consumption values determined in accordance with point 3.3, as specified in the Appendix to the Addendum to the type-approval certificate set out in Appendix 4 to Annex I to Regulation (EU) 2017/1151; |

|  |  |
| --- | --- |
| (e) | the NEDC CO2 (all phases and combined) and fuel consumption values (all phases and combined) determined in accordance with point 4.2 of this Annex, in entry 49.1 of the certificate of conformity as specified in Annex IX to Directive 2007/46/EC. |

---

[(1)](#ntc1-L_2017175EN.01068501-E0001)  https://co2mpas.io/

[(2)](#ntc2-L_2017175EN.01068501-E0002)  From 1 August 2017 jrc-co2mpas@ec.europa.eu

[(\*1)](#ntc*1-L_2017175EN.01068501-E0003)  Either normal engine idling speed, high engine idling speed and maximum net torque or T1 maps speed torque and power are necessary (for gearshift)

[(\*2)](#ntc*2-L_2017175EN.01068501-E0004)  Either tyre dimensions or velocity speed ratio is necessary (for gearshift)

---

ANNEX II

‘ANNEX I

Data sources

|  |  |  |
| --- | --- | --- |
| Parameter | Certificate of conformity (Part 1, Model B set out in Annex IX of Directive 2007/46/EC) | Type-approval documentation (Directive 2007/46/EC) |
| Manufacturer | Section 0.5 | Section 0.5 of Part I of Annex III |
| Type-approval number and its extension | Section 0.10 | Type-approval certificate as specified in Annex VI |
| Type | Section 0.2 | Section 0.2 of Part I of Annex III (where applicable) |
| Variant | Section 0.2 | Section 3 of Annex VIII (where applicable) |
| Version | Section 0.2 | Section 3 of Annex VIII (where applicable) |
| Make | Section 0.1 | Section 0.1 of Part I of Annex III |
| Commercial name | Section 0.2.1 | Section 0.2.1 of Part I of Annex III |
| Category of the vehicle type-approved | Section 0.4 | Section 0.4 of Part I of Annex III |
| Category of the vehicle registered | n/a | n/a |
| Mass in running order (kg) | Section 13 | Section 2.6 of Part I of Annex III[(1)](#ntr1-L_2017175EN.01070602-E0001) |
| Footprint — Wheel base (mm) | Section 4 | Section 2.1 of Part I of Annex III[(2)](#ntr2-L_2017175EN.01070602-E0002) |
| Footprint — Track width (mm) | Section 30 | Section 2.3.1 and 2.3.2 of Part I of Annex III[(3)](#ntr3-L_2017175EN.01070602-E0003) |
| Specific NEDC CO2 emissions (g/km)[(4)](#ntr4-L_2017175EN.01070602-E0004) | Section 49.1 | Section 3 of Annex VIII |
| Specific WLTP CO2 emissions (g/km)[(4)](#ntr4-L_2017175EN.01070602-E0004) | Section 49.4 | n/a |
| Fuel type | Section 26 | Section 3.2.2.1 of Part I of Annex III |
| Fuel mode | Section 26.1 | Section 3.2.2.4 of Part I of Annex III |
| Engine capacity (cm3) | Section 25 | Section 3.2.1.3 of Part I of Annex III |
| Electric energy consumption (Wh/km) | Section 49.2 | Section 3 of Annex VIII |
| Code of the eco-innovation(s) | Section 49.3.1 | Section 4 of Annex VIII |
| Total NEDC CO2 emissions savings due to the eco-innovation(s) | Section 49.3.2.1 | Section 4 of Annex VIII |
| Total emissions WLTP CO2 savings due to the eco-innovation(s) | Section 49.3.2.2 |  |
| Vehicle identification number | Section 0.10 | Point 9.17 of Part I of Annex III |
| Test mass [WLTP] | Section 47.1.1 | n/a |
| Deviation factor De | Section 49.1 | Appendix to the Addendum to the type-approval certificate set out in Appendix 4 to Annex I to Regulation (EU) 2017/1151 |
| Verification factor (“1” or “0”) | Section 49.1 | Appendix to the Addendum to the type-approval certificate set out in Appendix 4 to Annex I to Regulation (EU) 2017/1151 |

---

[(1)](#ntc1-L_2017175EN.01070602-E0001)  In accordance with Article 3(8) of this Regulation

[(2)](#ntc2-L_2017175EN.01070602-E0002)  In accordance with Article 3(8) of this Regulation

[(3)](#ntc3-L_2017175EN.01070602-E0003)  In accordance with Articles 3(7) and 3(8) of this Regulation

[(4)](#ntc4-L_2017175EN.01070602-E0004)  In accordance with Articles 3 and 4 of Implementing Regulation (EU) 2017/1152’.

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