PATENT CLAIM ANALYSIS

Application Number: 15918284
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["701", "111000"]

Abstract:
A variety of methods and arrangements for reducing noise, vibration and harshness (NVH) in a skip fire engine control system are described. In one aspect, a firing sequence is used to operate the engine in a dynamic firing level modulation manner. A smoothing torque is determined by adaptive control that is applied to a powertrain by an energy storage/release device. The smoothing torque is arranged to at least partially cancel out variation in torque generated by the firing sequence. Various methods, powertrain controllers, arrangements and computer software related to the above operations are also described.

Claim (Index 1):
An electric motor/generator controller for operating a motor/generator used as an auxiliary torque source/sink in a hybrid powertrain, the hybrid powertrain including an internal combustion engine that operates in a firing sequence, the motor/generator controller comprising:\n a matched basis function control module arranged to generate a control signal for the electric motor/generator, wherein the matched basis function control module is configured to receive a parameter indicative of a firing sequence length, a parameter indicative of a firing sequence phase, a crank angle signal, and a NVH metric signal as inputs and to generate the control signal for the electric motor/generator based at least in part of the received parameter indicative of the firing sequence length, firing sequence phase, the crank angle signal, and the NVH metric signal.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 1.55882
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15918258', '14992779', '15340291', '15679419', '15679462']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5025934241030099
- 35 USC 102 Novelty (BERT): 0.5399460245497731
- Combined Prediction Score: 0.5063286841476862
- Mean Citation Score: 356.52942399999995
- Max Citation Score: 413.11786
- Similarity Product: 320.97423666803365

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