锂电池非线性退化模型和多目标储能优化

Nonlinear Degradation Model and Multi-objective Optimization Method for Energy Storage of Lithium-ion Battery

针对锂电池储能退化行为的描述和建模存在的缺陷,提出基于市场收益的锂电池多目标储能优化方法。该方法同时考虑电流大小和充放电状态对锂电池退化性能的影响,将非线性退化行为转化为嵌入式整数线性编码(MILP),实现锂电池能量调度策略的最优化和收益最大化。提出的分段拟合函数和两阶时间分解技术,允许在有限的计算时间内处理更多的锂电池充放电数据,并实现储能最优策略。实验结果表明,所提出的多目标优化策略和非线性退化模型,能够准确地描述锂电池的非线性退化行为。

Aiming at the defects in the description and modeling of energy storage degradation behavior of lithium-ion battery,a multi-objective optimization method for energy storage of lithium-ion battery based on market revenue is proposed in this paper.The influence of current and charge/discharge state on the degradation performance of lithium-ion battery is considered in this method.The nonlinear degradation behavior is transformed into mixed-integer linear program(MILP) to optimize the energy scheduling strategy of lithium-ion battery and maximize the revenue.The proposed piecewise fitting function and two-order time decomposition technique allow more charge and discharge data of lithium-ion battery to be processed within limited computational time and achieve the optimal strategy for energy storage.The experimental results show that the multi-objective optimization strategy and nonlinear degradation model can describe the nonlinear degradation behavior of lithium-ion battery accurately.