基于NTGK模型的锂离子电池充电技术

Charging technology for Li-ion battery based on NTGK model

采用ANSYS Fluent软件中的NTGK电化学模型,研究锂离子电池在恒温下恒流充电(CC)、恒流-恒压充电(CC-CV)、间歇脉冲充电(IPC)和再生脉冲充电(RPC)的电化学特性曲线,并与实验结果进行对比。模型验证后,讨论脉冲间隔和脉冲周期对RPC充入容量和时间的影响。该模型能对电池充电特性进行合理预测,电池组电压仿真和实验结果的标准差在0.31以内。CC只适用于低倍率时;IPC和RPC可减缓极化效应,适用于高倍率时;而CC-CV充入的容量最多,但比其他3种充电方案耗时更长。对于RPC,增大脉冲间隔可增加容量;保持正负脉冲比来增大周期,对充入容量的影响甚微。

The NTGK electrochemical model of ANSYS Fluent software was used to analyze the electrochemical characteristic curves of Li-ion battery during galvanostatic charging(CC),galvanostatic-potentiostatic charging(CC-CV),internal pulse charging(IPC)and regenerative pulse charging(RPC)under constant temperature,which was testified to the experimental data.After validation,the influence of pulse interval and pulse period on the capacity and charging time of RPC was discussed.This model could predict the charging characteristics of the battery reasonably.The average standard deviation between experimental data and numerical results was within 0.31.CC was suitable for low rate charging;IPC and RPC could moderate polarization reaction,which was applied in high rate charging condition;CC-CV could input more power to battery but spent longer time than the other three charging strategies.The increase of pulse interval could effectively enhance the capacity,while keeping the positive and negative pulse ratio to increase period had little effect on the battery charging capacity for RPC.