基于正负极动力学特性的锂离子电池优化充电方法

针对电动汽车快速充电存在的问题，分别对锂离子电池正、负极充放电特性进行研究，提出了优化充电方案。以负极析锂抑制为边界条件，获得正、负极在不同状态(SOC)下的最大允许充放电电流，建立了充电过程能耗和充电时间目标函数，以最大允许充电电流为约束条件，利用粒子群算法得到最优多阶段恒流充电电流序列。结果表明:与1 C恒流充电相比，电池充入相同容量时，优化充电时间减少约26.5%，34 min即可充电至80%SOC；与优化充电电流序列的平均电流恒流充电相比，优化充电能耗降低约1.5%。 

Optimized charging method of lithium-ion batteries based on dynamic characteristics of electrodes

Aiming at the problems existing in the fast charging of electric vehicles, the charging and discharging characteristics of lithium-ion batteries are well studied. And an optimized charging protocol are proposed. The maximum allowable charging current rates of positive and negative electrodes have been determined under different state of charge (SOC) with the boundary condition of none lithium-metal deposition in negative electrode. The charging energy consumption and charging time model is established for the full cell charging process. And the optimal charging current pattern is obtained for the full cell by employing the particle swarm optimization method and constraining the maximum allowable charging current of each electrode. The results demonstrate that the battery can be charged from 0% to 80% SOC within 34 minutes using the optimal charging current pattern, and the charging time can be reduced by about 26.5% when compared to that of 1 C constant-current charging. Meanwhile, the energy consumption of battery can be reduced by about 1.5% with the optimized charging current pattern, when compared to the constant-current charging pattern using its average value.