PATENT CLAIM ANALYSIS

Application Number: 15888125
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["701", "105000"]

Abstract:
During rapid warm-up operation, a CPU executes full lift injection processing, in which a nozzle needle reaches a maximum lift amount, in an intake stroke of each cylinder of a four-cylinder internal combustion engine, and then executes partial lift injection processing, in which the nozzle needle does not reach the maximum lift amount, in a compression stroke. On the other hand, during learning of injection characteristics of partial lift injection processing, the CPU executes full lift injection processing after executing partial lift injection processing, both of which are executed within a predetermined period in an intake stroke. The CPU learns the injection characteristics based on an inflection point in the temporal change of the induced electromotive force in a coil following the end of the partial lift injection processing.

Claim (Index 5):
The fuel injection control device for an internal combustion engine according to  claim 2 , wherein\n the fuel injection valve is configured to inject fuel into a combustion chamber, and the electronic control unit is configured to, when having determined that the learning condition for the injection characteristic of the fuel injection valve is not established, execute the partial lift injection processing after executing the full lift injection processing.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 2.13636
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15866859', '15030442', '15098900', '15096823', '14748914']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.511656965497587
- 35 USC 102 Novelty (BERT): 0.5354297808479483
- Combined Prediction Score: 0.5140342470326231
- Mean Citation Score: 293.585876
- Max Citation Score: 388.85486
- Similarity Product: 307.9494063443005

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