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 3):
An autonomous vehicle comprising:\n an internal combustion engine capable of operating at a plurality of displacement levels; an autonomous driving unit arranged to direct operation of the autonomous vehicle in response to one or more inputs indicative of driving conditions, the autonomous driving unit arranged to ascertain (1) a torque request sufficient to the meet driving conditions while operating the autonomous vehicle within a speed range and (2) a modified torque request which provides improved fuel economy relative to the ascertained torque request while operating the autonomous vehicle within the speed range; and an engine controller configured to control the internal combustion engine to operate at a displacement level, selected among the plurality of displacement levels, sufficient to meet the modified torque request.

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): 0.5065376681539234
- 35 USC 102 Novelty (BERT): 0.5536353681832097
- Combined Prediction Score: 0.511247438156852
- Mean Citation Score: 361.464208
- Max Citation Score: 449.59235
- Similarity Product: 363.1530963314624

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