PATENT CLAIM ANALYSIS

Application Number: 15904526
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["060", "274000"]

Abstract:
A fuel injection controller for an internal combustion engine selects as the injection mode either single injection or split injection, counts, based on a drive current detection signal, which indicates that a drive current is generated to be fed to the direct injector, the number of occurrences of the drive current in one combustion cycle as a number-of-injections count value, and determines, based on the number-of-injections count value, whether the combustion state in the cylinder is satisfactory. The fuel injection controller determines that the combustion state in the cylinder is unsatisfactory if the number-of-injections count value in one combustion cycle is one when catalyst warm-up control is being performed with the temperature of the engine being lower than or equal to a predetermined temperature.

Claim (Index 3):
The fuel injection controller according to  claim 1 , wherein\n the cylinder is one of a plurality of cylinders, and the determination section is configured to\n determine whether a combustion state of a particular one of the cylinders is satisfactory in each combustion cycle of the particular cylinder during a predetermined detection period, and \n determine that warm-up of the exhaust purification catalyst is not accelerated when a ratio of a number of combustion cycles in which the combustion state is determined to be unsatisfactory to a total number of combustion cycles of the particular cylinder in the detection period exceeds a predetermined ratio.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 88.0
- Lexical Diversity: 1.98507
- Patent Class: 60.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13180777', '14895765', '10526489', '15426637', '15557987']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7323307082112154
- 35 USC 102 Novelty (BERT): 0.5016639430767897
- Combined Prediction Score: 0.7092640316977729
- Mean Citation Score: 272.46976600000005
- Max Citation Score: 291.28073
- Similarity Product: 236.15871874772847

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