汽车工程 ›› 2019, Vol. 41 ›› Issue (5): 590-598.doi: 10.19562/j.chinasae.qcgc.2019.05.016

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不同温度下锂电池剩余电量估算的仿真研究*

靳立强1, 孙志祥1, 刘志茹2, 李建华1, 杨名3   

  1. 1.吉林大学,汽车仿真与控制国家重点实验室,长春 130022;
    2.深圳市科列技术股份有限公司,深圳 518057;
    3.一汽大众汽车有限公司,长春 130011
  • 收稿日期:2018-04-16 发布日期:2019-06-05
  • 通讯作者: 李建华,副教授,E-mail:ljh_lotus@jlu.edu.cn
  • 基金资助:
    吉林省科技发展计划项目(20160519008JH)资助

Simulation Study on State of Charge Estimation ofLithium-ion Battery at Different Temperatures

Jin Liqiang1, Sun Zhixiang1, Liu Zhiru2, Li Jianhua1, Yang Ming3   

  1. 1.Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun 130022;
    2.Shenzhen KLClear Technology Co., Ltd., Shenzhen 518057;
    3.FAW-VOLKSWAGEN Automotive Co., Ltd., Changchun 130011
  • Received:2018-04-16 Published:2019-06-05

摘要: 为提高动力锂电池在使用过程中剩余电量的估算精度,以满足电池管理系统对电池监控的要求,提出一种适用于不同温度的动力锂电池SOC估计方法。首先通过分析对比从控制算法模型中选择了2阶等效电路模型,并依据多温度点实验结果进行电池参数拟合,建立基于温度的电池参数模型。接着根据改进的扩展卡尔曼滤波算法,建立SOC估算模型。最后按照DST和FUDS循环进行快速控制原型仿真,验证该算法对不同温度的鲁棒性。结果表明,所制定的SOC估计算法,既能抑制电流噪声的干扰,又能在初始SOC值有较大误差的情况下,使估算值迅速收敛于真实值,在整个估算过程中误差保持在0.04以内。

关键词: 动力锂电池, 电池温度模型, 剩余电量, 快速控制原型

Abstract: In order to improve the accuracy of SOC estimation during the use of traction lithium-ion battery for meeting the requirements of battery management system for battery monitoring, a SOC estimation method for traction lithium-ion batteries at different temperatures is proposed. Firstly, through comparative analysis on control algorithm models, the second-order equivalent circuit model is selected,and according to the results of multiple temperature point experiment, the parameters of battery are fitted and a temperature-based battery parameter model is built. Then according to the improved extended Kalman filtering algorithm, a SOC estimation model is established. Finally, a rapid control prototyping simulation is carried out with DST and FUDS cycles to verify the robustness of the algorithm at different temperatures. The results show that the SOC estimation algorithm formulated can not only suppress the interference of current noise, but also make the estimated SOC value speedily converge to the real one when its initial value has a large error, with its error kept within 0.04 in the whole process of estimation.

Key words: traction Li-ion battery, temperature-dependent battery model, state of charge, rapid control prototype