PATENT CLAIM ANALYSIS

Application Number: 15770974
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["701", "102000"]

Abstract:
A combustion pressure detection method and a combustion pressure detection apparatus of an internal combustion engine that can detect combustion pressure by using a crank angle sensor in an accurate and easy way. A relationship between a crank angle sensor signal and a combustion pressure signal is previously recorded. As a result, even if the combustion pressure sensor fails, the combustion pressure is detected by collating the crank angle sensor signal with the relationship.

Claim (Index 5):
The internal combustion engine control apparatus according to  claim 4 , wherein\n the memory stores learning data of a frequency component group of an angular velocity of a crankshaft associated with the in-cylinder pressure of the reference cylinder, according to an engine speed or torque, and the processor corrects a measured crank angle sensor signal so as to correspond to the reference cylinder in a case where a cylinder in which a pressure sensor is not installed is detected, the processor resolving an corrected angular velocity of the crankshaft into a frequency component, the processor obtaining, as actual in-cylinder pressure, in-cylinder pressure associated with a frequency component closest to the resolved frequency component among a frequency component group stored in the learning data.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 91.0
- Lexical Diversity: 1.92683
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12796881', '13884193', '15204998', '15219728', '15431852']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4796858019885446
- 35 USC 102 Novelty (BERT): 0.4832219024561348
- Combined Prediction Score: 0.4800394120353036
- Mean Citation Score: 218.799618
- Max Citation Score: 226.38936
- Similarity Product: 174.4004556675482

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test