PATENT CLAIM ANALYSIS

Application Number: 15963889
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["701", "070000"]

Abstract:
The present invention relates generally to techniques for improving fuel efficiency of a vehicle powered by an internal combustion engine capable of operating at various displacement levels. An autonomous driving unit or cruise controller selects when possible an engine torque output that corresponds to a fuel efficient displacement level. The resultant vehicle speed profile and NVH level is acceptable to vehicle occupants.

Claim (Index 1):
An engine control system comprising:\n an engine controller arranged to direct operation of an engine of a vehicle to selectively operate at one of a plurality of different effective displacements; and an autonomous driving unit configured to determine a requested torque demand based at least partially on sensed operational conditions of the vehicle as provided to the autonomous driving unit, wherein the autonomous driving unit utilizes fuel economy information associated with the different effective displacements of the engine to determine a modified torque demand, wherein the engine controller and the autonomous driving unit cooperate to operate the engine to meet the modified torque request, which is more fuel efficient compared to operating the vehicle at the requested torque demand based at least partially on the sensed operational conditions.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 91.0
- Lexical Diversity: 1.27451
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15672132', '15874656', '15679419', '15681601', '14638908']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.505481597774492
- 35 USC 102 Novelty (BERT): 0.5557766280888059
- Combined Prediction Score: 0.5105111008059233
- Mean Citation Score: 361.464208
- Max Citation Score: 449.59235
- Similarity Product: 379.2981498523176

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

Dataset: test