Prediction of state of health (SOH) of lithium-ion batteries can extend the service life of the batteries and improve the safe performance of the batteries, which is of great significance to research and development of lithium-ion batteries. Aiming at the problems that the discharge current of electric vehicles constantly changes under actual operating conditions and the number of full charge-discharge cycles is small, a battery health prediction model based on capacity decay rate is proposed. In this paper, the ternary cathode material power lithium-ion battery with a rated capacity of 5Ah is taken as the research subject, and the discharge experiment is conducted under the conditions of ambient temperature of 0 °C, 10 °C, 20 °C, 30 °C, and 40 °C. By fitting the curve of the battery capacity with the number of cycles, the decay rate of the battery capacity with the number of cycles is obtained.

锂离子电池健康状态（SOH）预测可以延长电池的使用寿命，提高电池的安全性能，对锂离子电池的研发具有重要意义。针对电动汽车在实际工况下放电电流不断变化且充满充放电循环次数少的问题，提出了一种基于容量衰减率的电池健康预测模型。本文以额定容量为5Ah的三元正极材料动力锂离子电池为研究对象，在环境温度0℃、10℃、20℃条件下进行放电实验。 、30 °C 和 40 °C。通过拟合电池容量与循环次数的曲线，