Estimation for SOC of Li-ion battery based on two-order RC temperature model

With energy and environmental problems getting more and more seriously, electric vehicles (EVs) have attracted great attention at home and abroad. This paper mainly studies the battery model and State of Charge (SOC) estimation of EVs. Based on the traditional two-order RC circuit equivalent model, a new two-order RC model considering temperature factor is proposed, and the Extended Kalman Particle Filter (EKPF) algorithm is used to estimate the SOC of battery. Experimental results show that, the two-order RC temperature model has high accuracy, it can simulate the battery state at different temperatures and has a certain practical value.