Research on dynamic load emulation algorithm for electric vehicle driving motor test bench

He Shang; Qiang Song; Guanfeng Wang

doi:10.1117/12.2689763

7 September 2023 Research on dynamic load emulation algorithm for electric vehicle driving motor test bench

He Shang, Qiang Song, Guanfeng Wang

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 1279036 (2023) https://doi.org/10.1117/12.2689763
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

In the process of developing an electric vehicle test bench, control accuracy is often low due to interference and other factors. To address this problem, this paper proposes a dynamic load emulation algorithm based on dynamic matrix control. Firstly, we create a detailed model of the distributed electric drive system. Then, we analyze the process of dynamic load emulation and propose an algorithm based on dynamic matrix control. Comparative simulations and bench tests are conducted to verify the algorithm. The results demonstrate that the proposed algorithm can achieve hardware-in-loop (HIL) test and improve test accuracy, as intended.

Citation Download Citation

He Shang, Qiang Song, and Guanfeng Wang "Research on dynamic load emulation algorithm for electric vehicle driving motor test bench", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 1279036 (7 September 2023); https://doi.org/10.1117/12.2689763

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