Investigation of cycle life of li-ion power battery pack based on LV-SVM

Take a certain lithium ion power battery pack as the research object, the experimental data shows that ambient temperature, discharge rate, number cycle and etc have great influence with cycle life of the power battery. This paper take capacity retention as characteristic index which is estimated by least square support vector machine (LV-SVM), experimental results show that the LV-SVM can estimate the variation regularity of capacity retention which varied with the cycle number of power battery pack, and has a high accuracy. The study of this paper takes an effective exploration for the entire vehicle matching and control strategy development of fuel electric vehicle.