PATENT CLAIM ANALYSIS

Application Number: 15928356
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["701", "030300"]

Abstract:
Methods and systems are provided for conducting a fuel tank pressure transducer rationality test diagnostic procedure in vehicles with sealed fuel tanks. In one example, vehicle-to-vehicle (V2V) or vehicle-to-infrastructure-to-vehicle (V2I2V) technology may be utilized to obtain fuel tank pressure transducer data from a select crowd of vehicles, where the select crowd may be based on the vehicles in the select crowd experiencing similar ambient temperature and weather as the vehicle being diagnosed. In this way, FTPT data from vehicles in the select crowd may be compared to FTPT data in the vehicle being diagnosed, in order to indicate whether the FTPT in the vehicle being diagnosed is functioning as desired, where such a diagnostic can be performed without unsealing the fuel tank on either the vehicle being diagnosed or the vehicles in the select crowd, and which may thus reduce undesired evaporative emissions.

Claim (Index 10):
A method comprising:\n diagnosing a sensor in a vehicle via vehicle-to-vehicle (V2V) or vehicle-to-infrastructure-to-vehicle (V2I2V) communications between the vehicle and a crowd of vehicles selected via a controller of the vehicle via the V2V and/or V2I2V communications, where the V2V and/or V2I2V communications further include wirelessly retrieving a set of sensor data from the crowd related to data from the sensor in the vehicle, over a predetermined time frame; comparing, via the controller, the set of sensor data from the crowd to the data from the sensor in the vehicle, where the data from the sensor in the vehicle is acquired over the same predetermined time frame; and indicating the sensor in the vehicle is functioning as desired in response to the set of sensor data from the crowd correlating within error margins with the data from the sensor in the vehicle.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 90.0
- Lexical Diversity: 1.97468
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15168605', '15844949', '14819181', '14968461', '15670665']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4630076956164282
- 35 USC 102 Novelty (BERT): 0.5435256779290568
- Combined Prediction Score: 0.4710594938476911
- Mean Citation Score: 293.9346680000001
- Max Citation Score: 447.815
- Similarity Product: 277.17947589933874

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test