健康状况
计算机科学
电池(电)
电阻抗
介电谱
电子工程
工程类
电气工程
功率(物理)
电化学
化学
电极
物理
量子力学
物理化学
作者
Latha Anekal,Akash Samanta,Sheldon S. Williamson
标识
DOI:10.1109/oncon56984.2022.10126866
摘要
To ensure effective and safer utilization of Lithium-Ion Batteries (LIB), accurate State Estimation particularly State of Health (SOH) is extremely essential, especially in automotive applications. Accurate information about SOH not only plays a crucial role in health-conscious battery management while at the same time helps to prognose battery fault and replacement. Battery SOH cannot be measured directly. Therefore, typically equivalent models and data-driven estimation techniques are used to obtain SOH through external measurements. Feature vectors required for SOH estimation can be very effectively extracted by Electrochemical Impedance Spectroscopy (EIS). Still, existing EIS-based methods have several limitations, issues, and challenges. Thus, a comprehensive review of state-of-the-art EIS-based SOH estimation techniques is presented in this paper to expedite the research effort toward developing a more advanced and practical EIS method for accurate and real-time SOH estimation.
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