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Fuzzy Adaptive Filtering-Based Energy Management for Hybrid Energy Storage System

Xizheng Zhang1,2,*, Zhangyu Lu1, Chongzhuo Tan1, Zeyu Wang1

1 School of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, 411104, China
2 School of Robotics, Hunan University, Changsha, 410082, China

* Corresponding Author: Xizheng Zhang. Email: email

Computer Systems Science and Engineering 2021, 36(1), 117-130.


Regarding the problem of the short driving distance of pure electric vehicles, a battery, super-capacitor, and DC/DC converter are combined to form a hybrid energy storage system (HESS). A fuzzy adaptive filtering-based energy management strategy (FAFBEMS) is proposed to allocate the required power of the vehicle. Firstly, the state of charge (SOC) of the super-capacitor is limited according to the driving/braking mode of the vehicle to ensure that it is in a suitable working state, and fuzzy rules are designed to adaptively adjust the filtering time constant, to realize reasonable power allocation. Then, the positive and negative power are determined, and the average power of driving/braking is calculated so as to limit the power amplitude to protect the battery. To verify the proposed FAFBEMS strategy for HESS, simulations are performed under the UDDS (Urban Dynamometer Driving Schedule) driving cycle. The results show that the FAFBEMS strategy can effectively reduce the current amplitude of the battery, and the final SOC of the battery and super-capacitor is optimized to varying degrees. The energy consumption is 7.8% less than that of the rule-based energy management strategy, 10.9% less than that of the fuzzy control energy management strategy, and 13.1% less than that of the filtering-based energy management strategy, which verifies the effectiveness of the FAFBEMS strategy.


Cite This Article

APA Style
Zhang, X., Lu, Z., Tan, C., Wang, Z. (2021). Fuzzy adaptive filtering-based energy management for hybrid energy storage system. Computer Systems Science and Engineering, 36(1), 117-130.
Vancouver Style
Zhang X, Lu Z, Tan C, Wang Z. Fuzzy adaptive filtering-based energy management for hybrid energy storage system. Comput Syst Sci Eng. 2021;36(1):117-130
IEEE Style
X. Zhang, Z. Lu, C. Tan, and Z. Wang "Fuzzy Adaptive Filtering-Based Energy Management for Hybrid Energy Storage System," Comput. Syst. Sci. Eng., vol. 36, no. 1, pp. 117-130. 2021.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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