PATENT CLAIM ANALYSIS

Application Number: 15922775
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["123", "491000"]

Abstract:
Methods and systems are provided for compression heating of air. In one example, a method may include, during an engine start and prior to a first combustion event, deactivating cylinder exhaust valves while spinning the engine electrically and unfueled until a threshold intake air temperature is reached, and alternately activating and deactivating the exhaust valves of one or more cylinders to maintain the intake air temperature above the threshold temperature after the first combustion event. In this way, a temperature of an air charge may be increased, resulting in increased fuel economy and decreased vehicle emissions.

Claim (Index 13):
The method of  claim 10 , wherein the one or more cylinders is equal to every cylinder of the multi-cylinder engine during an engine start from rest, and the method further comprises:\n determining a number of engine cycles to perform the compression heating based on a desired intake air temperature and an initial intake air temperature via an isentropic compression model; rotating the engine via electric motor torque and without combustion torque for the determined number of engine cycles; commencing the spark-controlled compression ignition combustion in at least one cylinder by activating the exhaust valves of the at least one cylinder and enabling fueling of the at least one cylinder after the determined number of engine cycles; and decreasing the electric motor torque as the combustion torque increases.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 90.0
- Lexical Diversity: 1.66667
- Patent Class: 123.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15382500', '15673329', '15611271', '10669480', '15759256']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7830979633294615
- 35 USC 102 Novelty (BERT): 0.4923281176318408
- Combined Prediction Score: 0.7540209787596994
- Mean Citation Score: 286.6081779999999
- Max Citation Score: 290.77374
- Similarity Product: 245.471680970428

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