State estimation for advanced battery management: Key challenges and future trends

Xiaosong Hu*, Fei Feng, Kailong Liu, Lei Zhang, J. Xie, Bo Liu

*此作品的通讯作者

科研成果: 期刊稿件文献综述同行评审

581 引用 (Scopus)

摘要

Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable energy storage. These indispensable engineering applications are all safety-critical and energy efficiency-demanding such that batteries must be meticulously monitored and manipulated, where effectively estimating the internal battery states is a key enabler. The primary goal of this paper is to present a concise, understandable overview of existing methods, key issues, technical challenges, and future trends of the battery state estimation domain. More specifically, for the first time, the state of the art in State of Charge (SOC), State of Energy (SOE), State of Health (SOH), State of Power (SOP), State of Temperature (SOT), and State of Safety (SOS) estimation is all elucidated in a tutorial yet systematical way, along with existing issues exposed. In addition, from six different viewpoints, some future important research opportunities and evolving trends of this prosperous field are disclosed, in order to stimulate more technologically innovative breakthroughs in SOC/SOE/SOH/SOP/SOT/SOS estimation.

源语言英语
文章编号109334
期刊Renewable and Sustainable Energy Reviews
114
DOI
出版状态已出版 - 10月 2019

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