PATENT CLAIM ANALYSIS

Application Number: 15749373
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["701", "101000"]

Abstract:
A method for predictive open-loop and/or closed-loop control of an internal combustion engine with control variables pursuant to a model of the engine with characterizing variables and a control circuit for the control variables. The control variables are adjusted in an open-loop or closed-loop manner by measuring actual values and specifying target values of the characterizing variables and, optionally, depending on the boundary and/or environmental and/or ageing conditions. The characterizing variables are controlled pursuant to a model of the engine with the characterizing variables and a control circuit with the control variables. The controlling is part of a model-based predictive control, wherein the characterizing variables of the engine model are calculated and the control variables of the engine are adjusted in a predictively controlled manner. A model-based predictive non-linear controller is used for the controlling, which is constructed in a modular manner with a number of model-based predictive control modules.

Claim (Index 29):
The method according to  claim 21 , wherein the first model-based predictive closed-loop control module of the first timescale comprises a closed-loop control module for the injection system that comprises a common rail, said injection system having a number of injectors that are allocated to cylinders of the engine, wherein an individual reservoir is allocated to an injector, said reservoir being provided so as to be charged with fuel from the common rail for the injector, wherein injection-characterizing variables of the injection system are calculated for injection management.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.65
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15299635', '14780939', '15408776', '12353674', '14949723']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4315520292935794
- 35 USC 102 Novelty (BERT): 0.515709776628374
- Combined Prediction Score: 0.4399678040270589
- Mean Citation Score: 239.91341
- Max Citation Score: 257.7806
- Similarity Product: 153.72194846632482

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

Dataset: test