Electronic gas concentration control system

Abstract: An electronic concentration control system in which a first exhaust gas composition sensor (16) located in an exhaust pipe (9) downstream from a catalytic converter (11) is connected to an input to a P.I. circuit (28) which generates a control output signal (K02) comprising a succession of opposing triangular ramps. The system includes a second exhaust gas composition sensor (14) located in the exhaust pipe (9) upstream from the catalytic converter (11) generating a signal which is fed to a proportional integral circuit (30) whose integrating and multiplying coefficients (Ki,Kp) are altered on the basis of the control signal (K02). The system includes a diagnostic circuit (50) which checks the efficiency of the first and second sensors (16, 14).

Description: This invention relates to an electronic concentration control system. JP-A-5 163 984 (Abstract) discloses an electronic concentration control system of an internal combustion engine which has an exhaust pipe delivering exhaust gas to a catalytic converter, the system comprising a first exhaust gas composition sensor located in the exhaust pipe downstream and a second exhaust gas composition sensor located in the exhaust pipe upstream from the catalytic converter, controller means for calculating a concentration-altering signal receiving as an input at least one of the signals generated by the first and second sensor said system also comprises monitoring means detecting information signals measured on the engine; these monitoring means being capable of comparing the information signals with threshold values to give rise to a diagnostic cycle. Closed loop electronic concentration control systems in which an exhaust gas composition sensor (e.g. a lambda sensor) located in an exhaust pipe sends a feedback signal to a calculation unit which generates as an output a concentration correction signal used to calculate the air/gasoline ratio (strength) of the mixture delivered to the engine are known. In particular the correction signal may be used to modify an injection time Tj calculated using an open loop, e.g. by means of an electronic map, calculating a corrected injection time Tjcorr in a closed loop. Systems which use the signals from first and second exhaust gas composition sensors located upstream and downstream of a catalytic converter respectively to calculate a correction signal are also in existence. The object of this invention is to provide a diagnostic system which is capable of checking that the first sensor is operating correctly. This object is accomplished by this invention in that it relates to an electronic system for concentration control as claimed in claim 1. The invention will now be illustrated with particular reference to the appended figures which show a preferred non-restrictive embodiment in which: Figure 1 illustrates diagrammatically an electronic concentration control system constructed in accordance with the dictates of this invention, Figures 2a, 2b, 2c illustrate logic block diagrams of the system according to this invention, and Figure 3 shows the time trace of some parameters of the system according to this invention. In Figure 1, 1 indicates as a whole a concentration control system in which a central electronic unit containing a microprocessor 3 operates an injection system 5 (illustrated diagrammatically) of an endothermic combustion engine 7, in particular a gasoline-powered engine (shown diagrammatically). In particular, engine 7 has an exhaust pipe 9 along which is provided a catalytic converter 11 (of a known type). System 1 includes a first exhaust gas composition sensor 14 (sensor lambda1) placed in exhaust pipe 9 between engine 7 and catalytic converter 11 and a second exhaust gas composition sensor 16 (sensor lambda2) located in exhaust pipe 9 downstream from catalytic converter 11. Lambda sensors 14, 16 are connected by electric lines 19, 20 to inputs 3a, 3b of central unit 3 and generate as outputs corresponding alternating signals S(lambda1), S(lambda2) which have the course illustrated in Figure 3. Signals S(lambda1), S(lambda2) have a typical alternating bistable course whose state depends on the stoichiometric composition of the exhaust gases present in exhaust pipe 9. In particular, if the air/gasoline mixture fed to engine 7 has more gasoline than is required by the stoichiometric ratio the signal generated by the lambda sensor adopts a high value (typically 800 millivolts), while if the air/gasoline mixture contains less gasoline than is required by the stoichiometric ratio the signal from the lambda sensor adopts a low value (typically 100 millivolts). Central unit 3 includes a first comparator circuit 23 which receives the signal generated by lambda sensor 14 and a first reference signal Vref1 (e.g. a reference voltage), and a second comparator circuit 25 which receives the signal generated by lambda sensor 16 and a second reference signal Vref2 (e.g. a reference voltage). Comparator circuits 25, 23 have outputs 25u, 23u communicating with a processor circuit 28 (e.g. a proportional-integral P.I. circuit) and a first input 30a to a circuit 30 respectively. Circuit 28 has an output 28u communicating with a second input 30b to circuit 30. Circuit 28 receives as an input a square wave signal (the signal produced by lambda sensor 16 compared with voltage Vref2) and generates as an output a periodical signal K02, of the type shown in Figure 3, produced by integrating the square wave signal (Figure 3) and formed of a succession of positive triangular ramps R1 alternating with triangular negative ramps R2. Circuit 30 is a proportional integral P.I. circuit having an integration coefficient Ki and a multiplication coefficient Kp, the value of which may be changed, in ways which will be described below, on the basis of signal K02. Circuit 30 receives as its first input 30a a bistable alternating square wave signal S1 (Figure 3) which is generated by comparing the signal produced by lambda sensor 14 with voltage Vref1. Circuit 30 generates as an output, by means which will be described below, a concentration-altering signal Slambda-corrected (Figure 3) which is fed to a calculation block 32 (of a known type) acting together with a circuit 33. Circuit 33 receives as an input a plurality of engine parameters from engine 7, e.g. engine rotation speed N, cooling water temperature TH20, butterfly valve position Pbutt, amount of air drawn in Qa, and generates as an output, e.g. by means of electronic maps, an open loop injection time Tj which is fed to block 32 where time Tj is altered (in a known way) by the concentration-altering signal Slambda-corrected, generating injection time Tjcorr as an output in a closed loop. System 1 also comprises a diagnostic circuit 50, which receives as an input a plurality of parameters measured on engine 7 and in block 32 and using means which will be described below controls the efficiency and functioning of lambda sensors 14, 16. The operations performed by circuit 30 in calculating the concentration-altering signal Slambda-corrected will now be illustrated with particular reference to Figure 2a. Initially a block 100 is reached, in which the polarity of the signal K02 fed to circuit 30 by circuit 28 is verified. If signal K02 is greater than zero (positive ramp R1) it passes from block 100 to a block 110, otherwise, if signal K02 is less than zero (negative ramp R2), it passes from block 100 to a block 120. Block 110 alters the integration coefficient Ki of circuit 30, increasing this coefficient Ki during periods in which the square wave signal S1 fed to input 30a adopts a first state, and in particular is negative. Coefficient Ki (Figure 3) is increased by a term DELTA-K02 whose magnitude is proportional to the magnitude of signal K02 at instant T1 when square wave signal S1 fed to input 30a changes state, becoming negative. In this way, the slope of the positive ramps (angle beta) is increased (Figure 3) with respect to the slope (angle alpha) which circuit 30 would supply to terminal Ki without the correction made by signal K02. At the end of the positive ramp the proportional term Kp in circuit 30 is altered. In particular the term Kp is increased by a term proportional to DELTA-K02. Block 110 also alters the integration coefficient of the Ki of circuit 30, decreasing this integration coefficient Ki during periods in which square wave signal S1 fed to input 30a adopts a second state, and in particular is positive. Coefficient Ki is reduced by a correction term DELTA-K02 whose amplitude is proportional to the amplitude of signal K02 (Figure 3) at instant T2 when square wave signal S1 changes state, becoming positive. In this way the slope (angle beta') of the negative ramps (Figure 3) is reduced with respect to the slope (angle alpha') which circuit 30 would provide without the correction made by signal K02. At the end of the negative ramp the proportional term Kp of circuit 30 is altered, reducing it by a term proportional to DELTA-K02. Signal KO1 generated at the output from circuit 30 by block 110 produces the concentration-altering signal Slambda-corrected and comprises positive ramps with a slope greater than that of the negative ramps. Block 120 changes the integration coefficient Ki of circuit 30, reducing this integration coefficient Ki during the periods in which the square wave signal fed to input 30a is negative. Coefficient Ki is reduced by a correction term DELTA-K02 whose magnitude is proportional to the magnitude of signal K02 at the moment when square wave signal S1 fed to input 30a changes state, becoming negative. In this way the slope of the positive ramps is decreased with respect to the slope which circuit 30 would provide without the correction made by signal K02 to coefficient Ki. At the end of the positive ramp the proportional term Kp for circuit 30 is changed. In particular, coefficient Kp is reduced by a term proportional to DELTA-K02. Block 120 also alters integration coefficient Ki of circuit 30, increasing this integration coefficient Ki during periods in which the square wave signal S1 fed to input 30a is positive. Coefficient Ki is increased by a term DELTA-K02 whose magnitude is proportional to the magnitude of signal K02 at the moment when the square wave signal changes, becoming positive. At the end of the negative ramp the proportional term Kp which is increased by a term proportional to DELTA-K02 is changed. The signal generated at the output from circuit 30 by block 120 produces concentration-altering signal Slambda-corrected and comprises positive ramps with a slope smaller than that of the negative ramps. From blocks 110, 120 there is a cyclic return to block 100 as long as circuit 30 is active. Concentration-altering signal Slambda-corrected is then fed to block 32 where this is used, in a known way, to alter the injection time Tj in an open loop by calculating the injection time Tjcorr in a closed loop. The diagnostic operations performed by diagnostic circuit 50 according to this invention are described with particular reference to Figures 2b, 2c. Initially a block 200 is reached, in which a plurality of engine variables measured on engine 7 and on the vehicle (not illustrated) on which engine 7 is mounted are fed in. In particular, block 200 receives the engine rotation speed N, the position Pbutt of the butterfly valve (not illustrated), the temperature TH20 of engine cooling water 7, the speed V of the vehicle (not shown) on which engine 7 is mounted, and the flow of air in the intake manifold Qa. Block 200 acquires a first binary variable (FLAG CLOSED-LOOP) whose state (1 or 0) indicates whether system 1 is working in a closed loop or whether the loop is disabled. Block 200 acquires a secondary binary variable (FLAG CUT-OFF) whose state (1 or 0) indicates whether engine 7 is working normally or whether the fuel feed to engine 7 has been cut off (CUT-OFF). Block 200 also receives a third binary variable (FLAG IDLING) whose state (1 or 0) indicates whether engine 7 is idling or running under normal operating conditions. Block 200 is followed by a block 210 in which the engine variables N, TH20, V, Pbutt and Qa measured in block 200 are compared with threshold values. In particular, block 200 checks whether the values of variables N, TH20, V, Pbutt and Qa fall within predefined threshold values according to relationships of the type: Block 210 also checks whether system 1 is working in a closed loop, if engine 7 is receiving fuel and is not idling, i.e.: If [1] and [2] are verified simultaneously, block 210 hands over to a block 230, otherwise it returns to block 200. Block 230 initialises a binary variable (MONITORING) whose state "1" (ON) indicates that the system is in a condition in which it is possible to perform a diagnostic cycle with success. Block 230 then performs the logic operation MONITORING=1. Block 230 is followed by a block 240 which receives the signals Slambda1 and Slambda2 generated by lambda sensors 14 and 16. Block 240 is followed by a block 250 in which the switching frequencies f1, f2 of the signals Slambda1 and Slambda2 are found. Block 250 also measures the maximum variation (DELTA) in the concentration-altering signal Slambda-corrected generated by circuit 30. Block 250 is followed by a block 260 in which the variables processed in block 250 are compared with threshold values. In particular, block 260 checks whether the switching frequency of sensor 14 is less than a threshold value and whether the ratio of the switching frequency of sensor 14 to sensor 16 is less than a threshold value, i.e.: where THRESHOLD 2 is close to unity or 2. Block 260 also checks whether the variation (DELTA) in concentration-altering signal Slambda-corrected calculated in block 250 is less than a threshold value, i.e.: DELTA < THRESHOLD 3 If relationships [3] and [4] are fulfilled at the same time, block 260 hands over to a block 280 (Figure 2c), otherwise if relationships [3] and [4] are not fulfilled simultaneously it hands over to a block 275. Block 275 produces an incorrect lambda sensor 14 signal and disables correction of the signal from lambda sensor 16 from the signal generated by lambda sensor 14. Block 280 is ready awaiting the MONITORING=1 signal and on receiving this signal it hands over to a block 290. Block 290 calculates the integral for the correction term DELTA-K02, i.e.: The start (START) for the calculation of the integral is given by a MONITORING ON signal and the end of this calculation (STOP) takes place when a prefixed number of switchings of lambda sensor 14 have been achieved. The integration increment dt is given by the switching of lambda sensor 14. The calculation of this integral I is repeated cyclically and a mean value Im is calculated, e.g. using an expression of the type: Block 290 hands over to a block 300 after the mean value Im has been calculated. Block 300 calculates the integral of the variation in the correction term DELTA-K02: The start (START) of the calculation of integral [5] is given by a MONITORING ON signal and the end of the calculation (STOP) occurs when a prefixed number of switchings of lambda sensor 14 are completed. Block 300 is followed by a block 310 in which the contents of a binary counter K are incremented by one unit through the logic operation K=K+1 . Block 310 is followed by block 320 in which the value of the integral Ii calculated in block 300 is compared with the average value Im calculated in block 290. In particular, if integral Ii differs little from the mean value Im, i.e. ¦Im-Ii¦< THRESHOLD4, block 320 hands over to a block 330, otherwise block 345 is reached. Block 330 temporarily stores the value of the integral Ii calculated by block 300 and updates the mean value Im in use (calculated from block 290) on the basis of this Ii value. At the end of the recalculation the mean value Im is passed to a block 340. Block 340 checks whether the value of the integral Ii calculated in block 300 lies between two threshold values, i.e.: THRESHOLD5<Ii<THRESHOLD6 THRESHOLD4 is a non-linear function of Ii and THRESHOLD5, THRESHOLD6. Where [6] is verified by block 340 it hands back to block 300 where a further calculation of the integral Ii is performed, otherwise (if an anomalous value of the integral Ii is found) it returns to block 350. Block 350 issues a signal which indicates a functional anomaly in lambda sensor 14. The programme is exited from block 350. Block 345 stores the value of the integral Ii calculated in a buffer memory. This block 345 is followed by a block 355 in which the contents of a binary counter G are incremented by one unit, in accordance with the logic operation G=G+1 . Block 355 is followed by a block 356 in which the value of K in use is compared with a threshold value Ks. Where this value K is less than the threshold Ks a return is made to block 300, otherwise block 356 hands over to block 360. In block 360 the ratio between the contents of counters G and K are compared with a threshold value, i.e.: G/K < THRESHOLD7 If condition [7] is not fulfilled (G/K < THRESHOLD7), block 360 hands back to block 300, otherwise (G/K = THRESHOLD) block 360 hands over to a block 370. Block 370 zeroes counters G and K (G=0; K=0) and zeroes the mean value of the integral Im calculated by block 290. Block 370 is then followed by block 290 which recalculates mean value Im. When in use, the diagnostic system comes into operation when the variables found by block 200 fall within the "windows" established in block 210. Diagnostic system 1 then performs a first diagnosis (also called a pre-diagnosis) using block 260 to check any functional anomaly in lambda sensor 1. This functional anomaly is mainly found when the frequencies of lambda sensors 14, 16 approach each other substantially (f1/f2=THRESHOLD2, with THRESHOLD2 near to unity), when f1 is less than a threshold and when the concentration-altering signal is temporarily high. The diagnostic system then enters into an initialisation stage calculating the mean value Im of the integral for the correction term DELTA-K02 (block 290), and at the end of this stage it cyclically compares the values of integral Ii calculated by block 300 with the mean value Im. The percentage G/K is then calculated (block 360) and expressed as the number (G) of Ii integrals calculated which differ substantially from the mean value with respect to the total number (K) of the integral calculations. If this percentage exceeds the threshold (block 360) and if a sufficient number of calculations have been made (block 356) a new stage of calculating the mean value of integral Im is initiated (block 290) . The calculated value Ii of the integral is then compared with the thresholds specified by block 340 in order to detect an integral Ii which has an anomalous value indicating a malfunction in lambda sensor 1 (block 350). The advantages of this invention will be clear from the above, given that diagnostic circuit 50 maintains the whole of system 1 under constant monitoring, immediately detecting any faults (blocks 275, 350) in sensor 14.

Claims: An electronic concentration control system capable of being applied to an internal combustion engine (7) which has an exhaust pipe (9) delivering exhaust gas to a catalytic converter (11), the said system comprising: first exhaust gas composition sensor means (16) located in the said exhaust pipe (9) downstream from the said catalytic converter (11), second exhaust gas composition sensor means (14) located in the said exhaust pipe (9) upstream from the said catalytic converter (11), means (28, 30) for calculating a concentration-altering signal (Slambda-corrected) receiving as an input at least the signals generated by the said first and said second sensor means and diagnostic means (50) capable of detecting malfunction conditions in the said second sensor means (14), characterised in that said means (28, 30) for calculating a concentration-altering signal comprising: first calculation means (28) receiving as an input at least one first signal correlated with the signal (Slambda2) generated by the said first sensor means (16) and generating as an output a control signal (K02), second calculation means (30) comprising: first electronic means (100) capable of detecting the polarity of the said control signal (K02), the said first electronic means (100) being capable of selecting second and third electronic means (110, 120) alternatively on the basis of the polarity found for the said control signal (K02), the said second and third electronic means (110, 120) elaborating a second signal (S1) correlated with the signal generated by the said second sensor means (14) and generating as an output the said concentration-altering signal (Slambda-corrected); said second calculation means (30) comprise a proportional integral P.I. circuit having an integration coefficient Ki and a proportional coefficient Kp, the said second and third electronic means (110, 120) being capable of altering at least the said integration coefficient Ki on the basis of a correction term (DELTA-K02) measured on the said control signal (K02); said diagnostic means (50) comprising integration means (300) capable of integrating a plurality of values of the said correction term (DELTA-K02) generating at least one integral value (Ii) as an output, the said diagnostic means (50) comprising first comparison means (340) capable of comparing a said value of the said integral (Ii) with first threshold values (THRESHOLD5, THRESHOLD6) to emit a signal (350) for malfunction of the said second sensor means (14) when the said value of the said integral (Ii) goes beyond a comparison interval defined by the said first threshold values (THRESHOLD5, THRESHOLD6). A system according to claim 1, characterised in that the said first calculation means (28) comprise at least one proportional integral P.I. circuit generating as an output the said control signal (K02) formed of a succession of positive triangular ramps (R1) alternating with negative triangular ramps (R2), the said first electronic means (100) being capable of detecting the polarity of the said ramps (R1, R2). A system according to claim 1, characterised in that the said second electronic means (110) increase the said integration coefficient Ki during a first state of the said second signal and decrease the said integration coefficient Ki during a second state of the said second signal, the said third electronic means (120) reducing the said integration coefficient Ki during the first state of the said second signal and increasing the said integration coefficient Ki during the second state of the said second signal. A system according to claim 3, characterised in that the said second electronic means (110) increase the said proportional coefficient Kp during a first state of the said second signal and decrease the said proportional coefficient Kp during a second state of the said second signal, the said third electronic means (120) decreasing the said proportional coefficient Kp during the first state of the said second signal and increasing the said proportional coefficient Kp during the second state of the said second signal. A system according to claims 3 or 4, characterised in that the said second and third electronic means (110, 120) increase the said integration coefficient Ki on the basis of a correction term (DELTA-K02) which is proportional to the value adopted by the said control signal (K02) when the said second signal changes state, the said second and third electronic means (110, 120) decreasing the said integration coefficient Ki on the basis of a correction term (DELTA-K02) proportional to the value adopted by the said control signal when the state of the said second signal changes. A system according to claim 1, characterised in that it comprises means (290) for calculating the mean value (Im) of the values of the said integral of the said correction term (DELTAK02), said diagnostic means (50) comprising second means of comparison (320) capable of comparing the value of the integral calculated by the said integrating means (300) with the said mean value (Im). A system according to claim 6, characterised in that the said second comparison means (320) select the said first comparison means (340) when the integral (Ii) calculated by the said integrating means (300) is substantially equal to the said mean value (Im). A system according to claim 7, characterised in that the said second comparison means (320) select means (330) which recalculate the mean value so as to update the mean value in use according to the integral calculated by the said integrating means (300), the said second comparison means (320) selecting the said recalculation means (330) when the integral calculated by the said integrating means (300) is substantially equal to the said mean value (Im). A system according to any one claims 6 to 8, characterised in that it comprises means (360) for calculating the percentage ratio (G/K) between the number (G) of integrals calculated by the said integrating means (300) which differ substantially from the said mean value (Im) and the total number (K) of integral calculated by the said integrating means (300), the said diagnostic means (50) also comprising third comparison means (360) capable of comparing the said percentage ratio (G/K) with a second threshold value (THRESHOLD7), the said third comparison means (360) being capable of selecting zeroing means (360) when the said percentage ratio (G/K) is close to the said second threshold value (THRESHOLD7), the said zeroing means (360) being capable of zeroing the mean value actually in use (Im) and being followed by the said means for calculating the mean value (290).

Inventors: CARNEVALE CLAUDIO, COIN DAVIDE, MARICA STEFANO, SERRA GABRIELE, SGATTI STEFANO, CARNEVALE, CLAUDIO, COIN, DAVIDE, MARICA, STEFANO, SERRA, GABRIELE, SGATTI, STEFANO
Applicants: MAGNETI MARELLI SPA, MAGNETI MARELLI S.p.A.
Application year: 1995
Main classification: F02D41
IPC codes: F02D41