Automatic calibration parameter optimization method of engine based on genetic algorithm

Abstract

The invention relates to an automatic calibration parameter optimization method of an engine based on genetic algorithm. The method comprises the following steps: introducing a genetic algorithm based on the original calibration technology; and establishing the corresponding original population, the fitness evaluation formula, the crossover rate, the mutation rate and the terminal conditions for each parameter by utilizing the genetic algorithm when the engine control parameters are optimized, and carrying out genetic algorithm optimization operation, thus the optimal gene is obtained as the control parameter in an MAP. The method has the beneficial effects that the method does not rely on any subjective factor, and has high objectivity, as long as engineers provide boundary conditions of the calibration objects and the final optimizing target, the optimization configuration of the selected parameters can be carried out automatically through the method; simultaneously the method has very high efficiency, multiple iterations can be carried out in very short time, thus the optimal solution can be obtained rapidly; and the method has high spreadability, and can spread the whole constrained range, thus the accuracy of optimization is improved.

Description

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AI Technical Summary

Benefits of technology

This new technology allows for efficient automatic adjustment over an optimum set of coefficients that can improve performance without requiring manual tuning or pre-processing steps. Its technical effect includes improved efficiency, accuracy, security, adaptability, and safety features compared to previous methods such as trial and error techniques.

Problems solved by technology

Technical Problem addressed in this patents relating to automobile manufacturing includes finding suitable values for controller settings during production without requiring extensive effort due to trial-and-error methods such as exhaustion simulation. Additionally, there has been increasing concern over how well the calibratory phase progress depends upon external environmental variables like ambient temperatures and humidities. Automatic calibration systems have become widespread because they allow for efficient execution while maintaining consistently accurate control targets. However, existing techniques require manual input and analysis, leading to decreased productivity and increased costs associated with repetitive measurements.

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