锂离子电池模型参数辨识方法和放电模拟

Parameters Identification of Lithium-Ion Batterie Model and Simulation of the Discharge Voltage Curves

针对锂离子电池准二维模型提出一种基于启发式算法的P2D模型参数辨识方法,该算法包括:减少P2D模型待辨识参数数量、利用参数有效区间减少遗传算法搜索时间和分治策略,将P2D模型参数分成两组并利用遗传算法分别进行辨识。通过启发式算法,利用单核计算机可以在十个小时以内辨识出锂离子电池P2D模型的所有参数,基于辨识值的模拟电压曲线与实验电压曲线吻合较好。基于模型辨识的电池放电电压模拟方法,不仅为精确估计锂离子电池内部状态以及剩余容量提供理论支持,而且为安全、可靠使用锂离子电池提供数据支撑。

A more efficient parameter identification method based on the heuristic algorithm is introduced to get parameters of pseudo-two-dimensional（ P2 D） model of lithium-ion batteries. The heuristic algorithm includes features such as the requirement of fewer identified parameters and the effective interval spacing of parameters to save searching time during the genetic algorithm. This algorithm also uses a divide-andconquer strategy that divides the full set of P2 D model parameters into two groups and identifies each group,respectively. With this method,the complete identification of P2 D model parameters can be performed within 10 h using a single core computer. Simulated data using the above identified parameters are consistent with the experimenttal results. This method provides theoretic support to estimate the inner state and the residual capacity of LIBs,and it also offers data for safely and securely using lithium-ion batteries.