基于噪声模型的锂离子电池SOC预测

SOC prediction for Li-ion battery based on noise model

为提高电池荷电状态(SOC)的估算精度和缩短预测时间,提出一种基于噪声模型的耦合估算策略,预估动力锂离子电池的SOC。在新标欧洲循环测试(NEDC)工况下,通过充放电实验进行仿真验证。耦合估算算法具有较高的估算精度,SOC仿真预测误差不超过2%,预测时间为0.3262 s。

To improve the estimation accuracy of battery state of charge(SOC)and shorten the prediction time,a coupling estimation strategy based on noise model was proposed to estimate the SOC of power Li-ion battery.Under new European driving cycle(NEDC)condition,the simulation was verified by charge-discharge test.The coupling estimation algorithm had higher estimation accuracy,the SOC simulation prediction error was less than 2%,the prediction time was 0.3262 s.