融合经验老化模型和机理模型的电动汽车锂离子电池寿命预测方法研究

In order to improve the prediction accuracy of remaining useful life of lithium-ion power battery in practical application，a remaining useful life prediction method of lithium-ion power battery combining the empirical aging model and the battery mechanism model is proposed in this paper. The method uses the SOH prediction value based on the empirical aging model as the prior estimate of the Kalman algorithm，and uses the SOH predicted by estimating the future capacity decline of the battery based on the mechanism model as the posterior correction of the Kalman algorithm，so as to achieve accurate prediction of the remaining useful life of the lithium-ion battery. The validation results of power battery remaining useful life prediction algorithm based on the cell test data show that the remaining useful life prediction error of lithium ion power battery is ≤ 5.83% and the maximum error of remaining useful life prediction of lithium-ion power battery based on real vehicle data is 8.12%，which has achieved good prediction results and enriched the life prediction methods of lithium ion power battery.