PATENT CLAIM ANALYSIS

Application Number: 15894599
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["123", "445000"]

Abstract:
Method and systems are provided for adjusting an engine torque in response to changes in a desired engine torque. In one example, a method may comprise responsive to increasing desired engine torques, monotonically decreasing an alternator torque to a first level from a second level when not injecting fuel to engine cylinders, and stepping up the alternator torque from the first level to the second level while initiating engine combustion, and then monotonically decreasing the alternator torque from the second level to the first level in response to the alternator torque reaching the first level. In this way, a method may comprise adjusting a load exerted on an engine by an alternator mechanically coupled to said engine during both cylinder combustion, and during non-fueling conditions.

Claim (Index 21):
The system of  claim 20 , wherein the instructions further include instructions to monotonically decrease alternator torque to a first torque from a second torque as desired engine torque increases, and during cylinder combustion, maintain position of a throttle valve and monotonically decrease alternator torque from the first torque to the second torque as desired engine torque increases.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 2.19672
- Patent Class: 123.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14702540', '14614881', '13965917', '13857895', '15140207']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.763498184636233
- 35 USC 102 Novelty (BERT): 0.5193944613661069
- Combined Prediction Score: 0.7390878123092204
- Mean Citation Score: 256.55502399999995
- Max Citation Score: 357.10617
- Similarity Product: 275.4277153520144

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