Simulated Engine Parameters for Internal Combustion Control
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Solution Overview
Problem
Internal combustion engine control systems face challenges in accurately predicting engine performance under various conditions due to the difficulty, cost, and time-consuming nature of physical testing, particularly in determining maximum output without violating limits, leading to a lack of optimal data for engine control.
Innovation Solution
A method and system that utilize a simulated internal combustion engine to determine simulated engine parameters for maximum expected output or acceleration, based on constraints and conditions, and store these parameters in the engine control unit's memory to supplement existing engine information, allowing for optimized engine control without extensive physical testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical testing is used to collect empirical data for engine control models, then measurement precision and reliability are improved, but loss of time and productivity deteriorate due to the time-consuming nature of physical testing
Solution Approach 1:
The patent creates a virtual copy of the physical engine through a simulation model that replicates engine behavior under various operating conditions. This digital twin allows data collection without physical testing, eliminating time delays while maintaining measurement precision through validated simulation algorithms
Solution Approach 2:
The simulation model is pre-configured with engine parameters and constraints before testing begins. This allows the system to predict engine behavior and generate empirical data in advance, eliminating the need for time-consuming physical trial-and-error testing while ensuring data accuracy through pre-validated models
2Manufacturing precision
If physical testing is conducted to determine maximum engine output under various conditions, then manufacturing precision of engine parameters is improved, but loss of time and productivity worsen due to extensive testing requirements
Solution Approach 1:
The simulation creates a virtual engine model that can be rapidly tested under multiple operating conditions simultaneously, generating optimized engine parameters without the time constraints of physical testing. This maintains manufacturing precision through validated simulation while dramatically improving productivity
Solution Approach 2:
The simulation model dynamically adjusts engine parameters across multiple operating conditions in parallel, allowing rapid exploration of parameter space to find optimal settings. This replaces sequential physical testing with concurrent virtual testing, improving productivity while maintaining precision through iterative optimization algorithms
3Measurement precision
If physical testing with torque sensors is used to train neural networks for torque estimation, then measurement precision is improved, but device complexity and loss of time worsen due to the need for specialized test equipment and extensive training
Solution Approach 1:
The simulation creates a virtual engine model that generates synthetic torque data for training neural networks, eliminating the need for physical torque sensors and complex test equipment. This maintains measurement precision through validated simulation physics while reducing device complexity by removing specialized hardware requirements
Solution Approach 2:
The simulation model acts as an intermediary that generates training data for the neural network without requiring direct physical measurement equipment. This intermediary layer produces realistic torque data through physics-based calculations, maintaining accuracy while simplifying the overall system by removing torque sensors from the training process
Data Source
AI summary
A method for generating data for an internal combustion engine control unit includes receiving at least one constraint by a simulated internal combustion engine, receiving a first value of an air condition by the simulated internal combustion engine, and determining at least one simulated engine parameter associated with a maximum expected output of the simulated internal combustion engine, wherein the maximum expected output is determined based on the first value and the at least one constraint. The method also includes supplementing existing engine information by storing the at least one simulated engine parameter in a memory associated with the internal combustion engine control unit together with the existing engine information.