Abstract: The paper proposes a high-precision battery life loss assessment model,which can fully exploit the effective information in the data provided by manufacturers to establish the mapping relationship between dynamic cycle efficiency,depth of discharge（DOD）and real-time state of charge（SOC）,and other factors. Meanwhile,an optimal algorithm based on the rolling McCormick relaxation method is proposed for the nonlinear terms introduced by the adoption of a more refined energy storage model. The algorithm can transform the original nonlinear programming problem containing mixed integers into a mixed integer linear programming problem,so as to realize the numerical solution of the optimization problem. Finally,the rationality and superiority of the refined battery life model and the rolling McCormick optimal algorithm proposed in this paper are demonstrated by simulation results.