Joint SOH-SOC Estimation Model for Lithium-Ion Batteries Based on GWO-BP Neural Network

The traditional ampere-hour (Ah) integration method ignores the influence of battery health (SOH) and considers that capacity will not change over time. To solve above problem, we proposed a joint SOH-SOC estimation model based on GWO-BP neural network to optimize Ah method. completed SOH through introduced into correct improve accuracy state charge (SOC) estimation. In addition, also predicted battery, so driver could have clearer understanding aging level. this paper, stability was verified by using different data from sources. Comparative experimental results showed error be stabilized within 5%, which smaller compared with ampere