Online rapid diagnosis method of lithium-ion battery health status based on multi-point impedance Yu Siqi, Mou Xianmin, Chen Xiyou, Fan Xianguo, Yan Wenqian New Technology of Electrical Engineering and Energy. 2025

 Online rapid diagnosis method of lithium-ion battery health status based on multi-point impedance Yu Siqi, Mou Xianmin, Chen Xiyou, Fan Xianguo, Yan Wenqian New Technology of Electrical Engineering and Energy. 2025 

 Abstract With the widespread use of lithium-ion batteries, rapid diagnosis of the health state of lithium-ion batteries has attracted extensive attention. Aiming at the traditional impedance diagnostic methods, which are affected by the change of state of charge (SOC) during online measurement, involving complex calculations, and less impedance information obtained, this paper conducts electrochemical impedance spectroscopy on lithium-ion batteries with different states of charge (SOH) and different states of health (SOH) and establishes a more physically interpretable equivalent circuit model by decoupling the complex dynamics in lithium batteries through the distribution of relaxation time (DRT) method. Based on the dependence of the characteristic peaks of the relaxation time distribution function on the SOC and SOH, three characteristic frequency points are screened for online impedance measurements. A fast online SOH estimation method with multi-point impedance is proposed, which can infer the state of health of the battery based on the characteristic impedance measurement data injected by the superposition of multiple feature frequency points at a time. It is experimentally verified that the method has good accuracy and practicality in online battery characteristic parameter measurement and health state estimation.

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