Paper
29 November 2021 Study on energy management strategy of plug-in hybrid electric vehicle
Qin Bai, Zhe Li, Yi Wang, Zihao Gao, Junlong Tao, Bo Deng, Yang Ou
Author Affiliations +
Proceedings Volume 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021); 1208023 (2021) https://doi.org/10.1117/12.2619338
Event: 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 2021, Nanchang, China
Abstract
This paper proposes a rule-based energy management strategy of a series-parallel driving system adoped in plug-in hybrid electric vehicles. For the complexity of hybrid system configuration, the coordination controller is optimized based on the overall fuel economy of multiple working modes by means of genetic algorithms. The simulation result shows that the engine operating points are mostly in the high-efficiency area, mode division and power allocation meet the design requirements. The rule-based control strategy designed in this paper is reasonable and effective.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qin Bai, Zhe Li, Yi Wang, Zihao Gao, Junlong Tao, Bo Deng, and Yang Ou "Study on energy management strategy of plug-in hybrid electric vehicle", Proc. SPIE 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 1208023 (29 November 2021); https://doi.org/10.1117/12.2619338
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KEYWORDS
Hybrid vehicles

Optimization (mathematics)

Vehicle control

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