Control strategy and parameter optimization of compound energy storage device for pure electric vehicle


  • Tianyu Ma
  • Jianjun Xu
  • Guo Xu
  • Xuyang Zeng



Supercapacitor, Compound energy storage device, Control strategy, Optimize


 In order to solve the problem of insufficient power of battery of pure electric vehicle, we study the energy storage system of electric vehicle. According to the characteristics and objectives of the complex energy storage device, we design its working mode, and propose a fuzzy control strategy based on speed and current limitation. In order to further improve the vehicle performance and reduce the output current of the battery, the key parameters of the composite energy storage device are linearly optimized. The simulation results show that: The acceleration time of pure electric vehicles equipped with composite energy storage devices is shortened by 12%, the braking energy recovery efficiency is increased by 39%, the power consumption of 100 kilometers is reduced by 8.55%, and the output current of the battery is significantly reduced, effectively extending the service life of the battery and the driving range of the vehicle.


ZHAO Hang. Hybrid electric vehicle technology[M]. Beijing: Machinery Industry Press, 2012.

Xu Jianjun, Huang Lida, Yan Limei, Yi Na. Insulator Self-Explosion Defect Detection Based on Hierarchical Multi-Task Deep Learning[J]. Transactions of China Electrotechnical Society, 2021,36(07):1407-1415.

Yan Limei, Liu Yongqiang, Xu Jianjun,et al. Broken string diagnosis of composite insulator based on Grabcut segmentation and filler area discrimination[J].Power System Protection and Control,2021,49(22):114-119

Na Yi, Q. Wang, L. Yan, et al., A multi-stage game model for the false data injection attack from attacker’s perspective. Sustainable Energy Grids & Networks 28 (2021).

Na Yi, Jianjun Xu, Limei Yan, Lin Huang. Task Optimization and Scheduling of Distributed Cyber-physical System Based on Improved Ant Colony Algorithm. Future Generation Computer Systems, 109(Aug. 2020),134-148.

Yang Zhao, Jianjun Xu, Jingchun Wu. A New Method for Bad Data Identification of Oilfield Power System Based on Enhanced Gravitational Search-Fuzzy C-Means Algorithm. IEEE Transactions on Industrial Informatics. VOL. 15, NO. 11, NOVEMBER 2019 5963-5970

Jing Han,Xi Wang,LiMei Yan, Aida Dahlak, et al. Modelling the performance of an SOEC by optimization of neural network with MPSO algorithm. International Journal of Hydrogen Energy, Volume 44, Issue 51, 22 October 2019, Pages 27947-27957.

YU Yuanbin, WANG Qingnian, WANG Weihua, et al. Parameter matching of mild hybrid electric vehicle with compound power supply[J]. Journal of Jilin University: Engineering and Technology Edition, 2009, 39(2): 281-285. (in Chinese)

Kuperman A, Aharon I. Battery-ultracapacitor hybrids for pulsed current loads: A review [J]. Renewable and Sustainable Energy Reviews, 2011, 15(2): 981-992.

Cao J, Emadi A. A new battery/ultra-capacitor hybrid energy storage system for electric,hybrid, and plug-In hybrid electric vehicles[J]. IEEE Transactions on Power Electronics, 2012,27(1): 122-131.

Bolborici V, Dawson F P, Lian KK. Hybrid energy storage systems: Connecting batteries in parallel with ultra-capacitors for higher power density[J]. Industry Applications Magazine IEEE, 2014, 20(4): 31-40.







How to Cite

Ma, T., Xu, J., Xu, G., & Zeng, X. (2024). Control strategy and parameter optimization of compound energy storage device for pure electric vehicle. Journal of Computing and Electronic Information Management, 12(2), 8-14.

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