考虑实时SOC与动态循环效率的电池损耗评估及储能定容策略

笔者提出一种高精度电池寿命损耗评估模型,该模型能充分挖掘厂家提供数据中的有效信息,从而建立起动态循环效率、放电深度（DOD）与实时荷电状态（SOC）应力等因素之间的映射关系。同时,针对采用更精细化的储能模型所引入的非线性项,提出一种基于滚动McCormick松弛方法的优化求解算法,该算法可将原本包含混合整数非线性规划问题转化为混合整数线性规划问题,从而实现优化问题的数值化求解。最后,通过算例证明所提出的精细化电池寿命模型与滚动McCormick求解算法的合理性和优越性。

BATTERY LOSS ASSESSMENT AND ENERGY STORAGE CAPACITY CONFIGURATION STRATEGY CONSIDERING REAL-TIME SOC AND DYNAMIC CYCLING EFFICIENCY

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.