Towards a smarter hybrid energy storage system based on battery and ultracapacitor - A critical review on topology and energy management
发表时间:2021-01-21     阅读次数:     字体:【


摘要:

Hybrid Energy Storage System (HESS) can well solve the problems faced by alternative single energy storage system in terms of meeting the needs of high specific power and high specific energy simultaneously for plug-in hybrid electric vehicles (HEVs). A HESS containing battery and ultracapacitor (UC) has drawn much attention. However, there have been relatively few reviews on its structures and energy management strategies (EMSs). Based on the summary and analysis from the existing publications, this paper reviews and discusses the structures and the EMSs of HESSs comprised of battery and UC. Focusing on energy management research, a detailed discussion of rules-based control algorithms, optimization-based control algorithms and intelligent-based control algorithms is presented. Several typical implementations and applications are presented in detail, and a comparative evaluation of these methods can help researchers select the appropriate method to develop EMSs for HESSs. Finally, the paper also highlights a number of key factors and challenges, and presents the possible recommendations for the development of big data and machine learning-based algorithm for the energy management of the HESSs.


部分图片:

图1 Classification of commonly used energy storage systems.

图2 HESS power distribution diagram.

引文信息

Rui Xiong, Huan Chen, Chun Wang, et al. Towards a smarter hybrid energy storage system based on battery and ultracapacitor - A critical review on topology and energy management. 2018, 202:1228-1240. (下载链接)

其他相关论文

1. Chun Wang, Rui Xiong, Hongwen He, et al. Comparison of decomposition levels for wavelet transform based energy management in a plug-in hybrid electric vehicle. 2019, 210:1085-1097.下载链接

2. Chun Wang, Ruixin Yang, Quanqing Yu. Wavelet transform based energy management strategies for plug-in hybrid electric vehicles considering temperature uncertainty. 2019, 256. (下载链接)


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