电池(电)
健康状况
风险分析(工程)
适应性
健康管理体系
计算机科学
国家(计算机科学)
前提
可靠性工程
系统工程
工程类
功率(物理)
医学
生态学
语言学
物理
替代医学
哲学
量子力学
算法
病理
生物
作者
Sunil Kumar Pradhan,Basab Chakraborty
标识
DOI:10.1016/j.est.2022.104427
摘要
To prevent probable battery failures and ensure safety, battery state of health evaluation is a critical step. This study lays out a coherent literature review on battery health estimation techniques to assist the research community with helpful information. Various techniques are systematically classified into respective groups and subgroups for easier understanding and follow-up. This study addresses the advantages and limitations of those techniques, along with their precision and application complexity. Furthermore, the procedures are briefly discussed on the premise of cost, computational effort, the requirement of sophisticated equipment, and their adaptability to various battery chemistries. Lastly, it draws the reader's attention towards a probable futuristic battery management architecture that may dictate the next decade's research efforts.
科研通智能强力驱动
Strongly Powered by AbleSci AI