Capacity Estimation Method of Lithium-ion Battery Based on Capacity Increment Analysis

doi:10.3901/JME.2025.24.235

Abstract

Abstract: Lithium-ion batteries are widely used in new energy vehicles and electrochemical energy storage systems, and are an important support for achieving the goal of carbon neutrality. Accurately obtaining the state of health(SOH) is the basis for the safe and efficient application of lithium-ion batteries. However, the SOH is an implicit state inside the battery and is difficult to measure directly. Aiming at the problem that the external characterization parameters of the battery are difficult to accurately map the internal aging state, an online capacity estimation method of lithium iron phosphate batteries based on incremental capacity(IC) analysis is proposed. Firstly, the changes of IC curve characteristics under different aging states and operating temperatures are analysed. Secondly, the curve features strongly related to the health state of the battery are extracted as health indicators. Then, the mapping relationship between the health indicators and the aging state of the battery is constructed. Finally, a compensation mechanism is introduced for the impact of charging temperature on the estimation results, ultimately achieving accurate estimation of the maximum available capacity of the battery under different charging conditions. The verification results show that the maximum error in capacity estimation is 0.36 A·h, the corresponding estimation result is 47.747 A·h, and the maximum relative error of 0.75%.

Key words: lithium-ion battery, state of health, maximum available capacity, incremental capacity analysis, charging temperature

CLC Number:

TM912

PENG Peng, YANG Ruixin, SUN Wanzhou, LI Zhengyang, HE Yinghao, CHEN Man, XIONG Rui. Capacity Estimation Method of Lithium-ion Battery Based on Capacity Increment Analysis[J]. Journal of Mechanical Engineering, 2025, 61(24): 235-244.

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