电阻抗
锂(药物)
公制(单位)
离子
计算机科学
材料科学
控制理论(社会学)
生物系统
电子工程
物理
电气工程
工程类
生物
人工智能
医学
内科学
运营管理
控制(管理)
量子力学
作者
Xinghao Du,Jinhao Meng,Yassine Amirat,Fei Gao,Mohamed Benbouzid
标识
DOI:10.1109/tie.2024.3462975
摘要
Diagnosis of overcharging in lithium-ion batteries (LIBs) is crucial to guaranteeing the long-term thermal stability and operational lifespan of a battery system. Compared with conventional diagnosis methods that rely on cell temperature and voltage measurements, the dynamic impedance spectrum (DIS) provides novel insights into assessing battery charging and overcharging processes. In this article, the perturbation signals are superimposed onto the charging current for the real-time monitoring of the dynamic impedance variation. A quantitative analysis is conducted to examine the applicability of the characteristic parameters, which are extracted by fitting the DIS with an equivalent circuit model (ECM), in assessing the overcharging in LIBs. Experimental investigations confirm the validity of the DIS measurements by performing the Kramers–Kronig (K–K) tests, where the maximum absolute residuals are lower than 0.5%. The proposed method is capable of reliably warning the battery overcharge when the batteries are charged up to 98% state of charge (SOC).
科研通智能强力驱动
Strongly Powered by AbleSci AI