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An Improved SOC Control Strategy for Electric Vehicle Hybrid Energy Storage Systems

Author

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  • Kai Wang

    (School of Electrical Engineering, Qingdao University, Qingdao 266071, China)

  • Wanli Wang

    (School of Electrical Engineering, Qingdao University, Qingdao 266071, China)

  • Licheng Wang

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China)

  • Liwei Li

    (School of Electrical Engineering, Qingdao University, Qingdao 266071, China)

Abstract

In this paper, we propose an optimized power distribution method for hybrid electric energy storage systems for electric vehicles (EVs). The hybrid energy storage system (HESS) uses two isolated soft-switching symmetrical half-bridge bidirectional converters connected to the battery and supercapacitor (SC) as a composite structure of the protection structure. The bidirectional converter can precisely control the charge and discharge of the SC and battery. Spiral wound SCs with mesoporous carbon electrodes are used as the energy storage units of EVs. Under the 1050 operating conditions of the EV driving cycle, the SC acts as a “peak load transfer” with a charge and discharge current of 2 i sc ~3 i bat . An improved energy allocation strategy under state of charge (SOC) control is proposed, that enables SC to charge and discharge with a peak current of approximately 4 i bat . Compared with the pure battery mode, the acceleration performance of the EV is improved by approximately 50%, and the energy loss is reduced by approximately 69%. This strategy accommodates different types of load curves, and helps improve the energy utilization rate and reduce the battery aging effect.

Suggested Citation

  • Kai Wang & Wanli Wang & Licheng Wang & Liwei Li, 2020. "An Improved SOC Control Strategy for Electric Vehicle Hybrid Energy Storage Systems," Energies, MDPI, vol. 13(20), pages 1-13, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5297-:d:426645
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    References listed on IDEAS

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    1. Kai Wang & Liwei Li & Huaixian Yin & Tiezhu Zhang & Wubo Wan, 2015. "Thermal Modelling Analysis of Spiral Wound Supercapacitor under Constant-Current Cycling," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-11, October.
    2. Wang, Kai & Li, Liwei & Zhang, Tiezhu & Liu, Zaifei, 2014. "Nitrogen-doped graphene for supercapacitor with long-term electrochemical stability," Energy, Elsevier, vol. 70(C), pages 612-617.
    3. Ming Zhang & Kai Wang & Yan-ting Zhou, 2020. "Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach," Complexity, Hindawi, vol. 2020, pages 1-10, January.
    4. Kai Wang & Liwei Li & Yong Lan & Peng Dong & Guoting Xia, 2019. "Application Research of Chaotic Carrier Frequency Modulation Technology in Two-Stage Matrix Converter," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, March.
    5. Zhou, Yanting & Wang, Yanan & Wang, Kai & Kang, Le & Peng, Fei & Wang, Licheng & Pang, Jinbo, 2020. "Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors," Applied Energy, Elsevier, vol. 260(C).
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    Citations

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    Cited by:

    1. Benitto Albert Rayan & Umashankar Subramaniam & S. Balamurugan, 2023. "Wireless Power Transfer in Electric Vehicles: A Review on Compensation Topologies, Coil Structures, and Safety Aspects," Energies, MDPI, vol. 16(7), pages 1-46, March.
    2. Xiaomin Wu & Shaoyi Li & Shengfeng Gan & Changhui Hou, 2022. "An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand," Energies, MDPI, vol. 15(5), pages 1-12, February.
    3. Li, Dezhi & Li, Shuo & Zhang, Shubo & Sun, Jianrui & Wang, Licheng & Wang, Kai, 2022. "Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine," Energy, Elsevier, vol. 250(C).
    4. Ramzi Saidi & Jean-Christophe Olivier & Mohamed Machmoum & Eric Chauveau, 2021. "Cascaded Centered Moving Average Filters for Energy Management in Multisource Power Systems with a Large Number of Devices," Energies, MDPI, vol. 14(12), pages 1-21, June.
    5. Surender Reddy Salkuti, 2023. "Advanced Technologies for Energy Storage and Electric Vehicles," Energies, MDPI, vol. 16(5), pages 1-7, February.
    6. Liu, Chunli & Li, Qiang & Wang, Kai, 2021. "State-of-charge estimation and remaining useful life prediction of supercapacitors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).

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