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 14):
A method of operating an autonomous vehicle comprising:\n determining a proposed vehicle speed range and acceptable NVH characteristics based on expected driving conditions over a time interval; determining a plurality of proposed drivetrain torque profiles that propel the vehicle over the time interval within the proposed speed range and having acceptable NVH characteristics, wherein at least some of the torque in the drivetrain torque profile is provided by an internal combustion engine; determining fuel efficiency of at least some of the plurality of proposed drivetrain torque profiles; selecting the proposed drivetrain torque profile that maximizes fuel efficiency as the operating drivetrain torque profile; and operating the vehicle with the operating drivetrain torque profile.

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): 0.5067327158104951
- 35 USC 102 Novelty (BERT): 0.5532396507959515
- Combined Prediction Score: 0.5113834093090407
- Mean Citation Score: 361.464208
- Max Citation Score: 449.59235
- Similarity Product: 360.1707432268798

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

Dataset: test