观点
健康状况
电池(电)
国家(计算机科学)
系统工程
工程类
荷电状态
风险分析(工程)
估计
数码产品
计算机科学
有可能
可靠性工程
钥匙(锁)
业务
功率(物理)
电气工程
计算机安全
心理学
心理治疗师
算法
视觉艺术
艺术
物理
量子力学
作者
Xiao Hu,Fei Feng,Kailong Liu,Lei Zhang,Jiale Xie,Bo Liu
标识
DOI:10.1016/j.rser.2019.109334
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.
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