Design and research of energy management strategy for pure electric vehicles based on dynamic programming algorithm

Rongjiang Tang; Mengxian He; Yue Zhang; Xin Jing

doi:10.1117/12.3026252

1 April 2024 Design and research of energy management strategy for pure electric vehicles based on dynamic programming algorithm

Rongjiang Tang, Mengxian He, Yue Zhang, Xin Jing

Author Affiliations +

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130821G (2024) https://doi.org/10.1117/12.3026252
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

The optimization design of energy management strategies for pure electric vehicles holds significant importance. This research aims to design an energy management strategy for pure electric vehicles based on the dynamic programming algorithm and conduct simulation tests and data analysis on a specific model of pure electric vehicle. By comparing the results with real-world data, the following key findings have been obtained: The adoption of the dynamic programming energy management strategy effectively reduces the overall vehicle power demand under the CLTC driving cycle, with a reduction of 4.6% under normal temperature conditions and 2.8% under low temperature conditions. The degradation rate of the electric vehicle's range in low-temperature conditions decreased from 36.2% to 31.9%. These results indicate that through the optimization design of a rational energy management strategy, pure electric vehicles can achieve better performance. Therefore, this research provides valuable insights for further improvement and sustainable development of pure electric vehicle technology.

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

Citation Download Citation

Rongjiang Tang, Mengxian He, Yue Zhang, and Xin Jing "Design and research of energy management strategy for pure electric vehicles based on dynamic programming algorithm", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130821G (1 April 2024); https://doi.org/10.1117/12.3026252

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