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 35):
The method according to  claim 34 , wherein the variables calculated are an exhaust gas recirculation rate, position of one or multiple throttle valves, position one or multiple dispenser valves and/or rate of one or multiple turbine bypasses.

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): 0.4341967082755389
- 35 USC 102 Novelty (BERT): 0.5031141949006914
- Combined Prediction Score: 0.4410884569380542
- Mean Citation Score: 239.91341
- Max Citation Score: 257.7806
- Similarity Product: 190.35530063464643

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

Dataset: test