Quasi-dimensional Combustion Model Updating Method Based on Genetic Algorithm

Because the existing quasi-dimensional combustion model cannot describe the working process of plateau diesel engine objectively,a simulation model updating method is proposed based on computer intelligence.Based on range analysis results of orthogonal experiments,sensitivity analysis of an engine is made to show the influence of quasi-dimensional combustion model empirical parameters on engine performance.The main empirical parameters determining engine performance are identified and confirmed as correction object.Based on genetic algorithm and experimental data,the quasi-dimensional combustion model is corrected.The model error of corrected working process model for engine is less than 4%,laying a foundation for follow-up engine performance analysis in highland.