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 6):
The method of  claim 1 , where the data from the sensor correlating with the data from the plurality of vehicles includes the set of data from the plurality of vehicles having a similar direction and magnitude of change, within error margins, as the data from the sensor.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 90.0
- Lexical Diversity: 1.97468
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15168605', '15844949', '14819181', '14968461', '15670665']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4916757697313433
- 35 USC 102 Novelty (BERT): 0.5477944798208956
- Combined Prediction Score: 0.4972876407402985
- Mean Citation Score: 293.9346680000001
- Max Citation Score: 447.815
- Similarity Product: 292.419323399961

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