Modeling and control strategy of hybrid electric vehicle system

Guangfu Zhao

doi:10.1117/12.2647325

7 September 2022 Modeling and control strategy of hybrid electric vehicle system

Guangfu Zhao

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232902 (2022) https://doi.org/10.1117/12.2647325
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

In the modeling of hybrid vehicle, the neural network model in this paper can optimize the actual measurement and data parameter analysis of the engine by using GT software on the PC side. In the modeling process of hybrid vehicle engine, the basic model is established first, and the output torque and running power of the basic model are optimized after testing, so as to reduce the error of true value, and the dynamic performance of hybrid locomotive is calculated by using the neural network model. Starting from the era background of the continuous improvement of the performance of hybrid vehicles, this paper analyzes and studies the modeling and model verification of L hybrid vehicles, builds the test data results of the hybrid vehicle model, and studies its control strategy by analyzing the hybrid vehicle power system.

Citation Download Citation

Guangfu Zhao "Modeling and control strategy of hybrid electric vehicle system", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232902 (7 September 2022); https://doi.org/10.1117/12.2647325

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