Liu Weilong, Wang Lifang, Wang Liye, Power Electronics and Power Transmission Key Laboratory of Chinese Academy of Sciences, researchers at the University of Chinese Academy of Sciences, pointed out in 2018 the first phase of the proceedings of electro technics that energy state (SOE) is the electric car power battery important status indicators, which directly affects the range of electric cars, affected by the working condition of the electric car significantlyTo estimate, based on the working condition of electric cars, SOE to SOE estimation method, mode recognition algorithm, launches the research condition of prediction algorithm, based on the model battery residual energy state (SOR) estimation method, based on the recognition algorithm of running condition of information entropy theory, the application of the theory of Markov chain prediction algorithm, build the driving electric vehicle system model is established, the simulation for electric vehicle driving modes corresponding battery prediction, implementation based on the working condition of electric vehicle recognition and prediction of SOE is estimated.