Research on multiobjective optimization of key parameters of small  range extenders

Shujiao Yang

doi:10.1117/12.3036693

21 July 2024 Research on multiobjective optimization of key parameters of small range extenders

Shujiao Yang

Proceedings Volume 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024); 132193E (2024) https://doi.org/10.1117/12.3036693
Event: 4th International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2024), 2024, Kaifeng, China

Abstract

Optimizing the key parameters of the range extender has an important impact on improving the fuel economy and reducing the emissions of the range extender electric vehicle. Firstly, GT-Power is used to establish a one-dimensional performance simulation model of the engine, and the working conditions of the engine are determined according to the ISG motor, which is combined with the study of the effect of the compression ratio on the likelihood of detonation to improve the thermal efficiency of the engine by increasing the compression ratio. Through the joint simulation of Isight and GT-Power, the NSGA-II genetic algorithm was applied to optimize the ignition advance angle and air-fuel ratio corresponding to the optimized compression ratio, with fuel consumption rate and emission minimization as the optimization objectives.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shujiao Yang "Research on multiobjective optimization of key parameters of small range extenders", Proc. SPIE 13219, Fourth International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2024), 132193E (21 July 2024); https://doi.org/10.1117/12.3036693

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