Engine Control Module Runtime Calibration for Power System Optimization
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Solution Overview
Problem
Existing engine optimization processes are not adaptable to individual needs or uses, as they are typically configured and calibrated during manufacturing and do not account for specific operating characteristics such as usage rate, performance, or cost, limiting their effectiveness in optimizing engine efficiency and emissions.
Innovation Solution
An engine control module with a memory and processors that receive calibration information to optimize operating characteristics by iteratively performing optimization processes to determine optimized values for adjustable parameters, configuring control devices to optimize specific operating characteristics such as efficiency, emissions, and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If optimization processes are configured and calibrated during manufacturing, then the engine can operate with certain levels of efficiency, emissions, and performance, but the system cannot adapt to individual needs or uses
Solution Approach 1:
The optimization process transitions from a static, factory-calibrated state to a dynamic, runtime-calibrated state. The system continuously adjusts optimization parameters based on real-time calibration data received from external sources, enabling adaptation to individual needs while maintaining manageable complexity through automated parameter tuning.
Solution Approach 2:
The system changes optimization parameters dynamically during operation rather than fixing them during manufacturing. Calibration data modifies key parameters such as efficiency targets, emissions limits, and performance thresholds, allowing the same hardware to be optimized for different applications without physical reconfiguration.
2Adaptability or versatility
If a fixed set of parameters is optimized during manufacturing, then the optimization process is simple and reliable, but it cannot address variable operating characteristics like usage rate, performance, or cost
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor actual engine performance against target operating characteristics. Calibration data from external sources feeds back into the optimization process, allowing real-time adjustments to parameters while maintaining reliability through closed-loop control and validation.
Solution Approach 2:
The system performs preliminary calibration using factory-standard parameters to establish a reliable baseline optimization. Before addressing variable operating characteristics, the system first ensures basic optimization reliability through pre-configured calibration, then layers additional adaptability on top without compromising the foundational reliability.
3Adaptability or versatility
If multiple adjustable parameters are optimized in real-time, then individual operating characteristics can be tailored, but the computational complexity and processing requirements increase
Solution Approach 1:
The optimization process is segmented into priority levels, with critical parameters (such as emissions limits and safety constraints) optimized first, followed by less critical performance parameters. This segmentation allows the system to achieve meaningful real-time optimization while managing computational energy consumption by focusing resources on the most impactful parameters.
Solution Approach 2:
The system optimizes a selective subset of parameters rather than all possible adjustable parameters simultaneously. By identifying and optimizing only the most relevant parameters for current operating conditions, the system achieves adequate real-time optimization performance while significantly reducing computational energy requirements compared to full-parameter optimization.
Data Source
AI summary
Power system optimization calibration is disclosed. An example implementation includes receiving, by an engine control module, calibration information associated with optimizing an operating characteristic of a power system; determining, by the engine control module and using an optimization model, an optimization profile to optimize the operating characteristic, wherein the optimization model is configured to perform one or more optimization processes to determine, according to the calibration information, optimized values associated with adjustable parameters of the power system, wherein the optimization profile is configured to include the optimized values; and configuring, by the engine control module, a first control device, associated with a first adjustable parameter of the adjustable parameters, according to the optimization profile, wherein the first control device is configured to control a first component of an engine of the power system to be set according to an optimized value for the first adjustable parameter.