A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation
A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation
复制标题
具有双粒子滤波器充电状态估计的新型动力锂离子电池温度补偿模型
DOI：
10.1016/j.apenergy.2014.02.072
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发表时间：
2014-06
期刊：
影响因子：
11.2
通讯作者：
Wu Ji
中科院分区：
文献类型：
--
作者：
Liu Xingtao;Chen Zonghai;Zhang Chenbin;Wu Ji
准确估计动力锂离子电池的荷电状态(SOC)是电动汽车电池管理系统(BMS)的重要问题之一。温度对SOC估计的准确性带来了很大的影响，这在很大程度上依赖于合适的电池模型和估计算法。模型参数如内阻和开路电压依赖于电池温度，电流检测精度与电流测量中的漂移噪声密切相关，这将导致SOC估计的误差。针对这一问题，我们提出了一种基于双粒子滤波估计器的电动汽车动力锂离子电池SOC估计的温度补偿模型。为了克服温度引起的模型参数摄动的影响，提出了一种以温度和电流作为模型输入的实用温度补偿电池模型，综合研究和描述了电池内阻、电压和温度之间的关系。此外，在电池模型中将漂移电流视为一个待定的静态参数，以消除漂移电流的影响。然后，基于温度补偿模型，构造了双粒子滤波估计器，实现了SOC和漂移电流的同时估计。实验和仿真结果表明，基于温度补偿模型和双粒子滤波估计器的SOC估计方法能够实现准确和稳健的SOC估计。
The accurate state-of-charge (SOC) estimation of power Li-ion batteries is one of the most important issues for battery management system (BMS) in electric vehicles (EVs). Temperature has brought great impact to the accuracy of the SOC estimation, which greatly depends on appropriate battery models and estimation algorithms. The fact that the model parameters, such as the internal resistance and the open-circuit voltage, are dependent on battery temperature and current detection precision is greatly related to the drift noise in current measurements will lead to errors in SOC estimation. Aiming at this problem, we present a temperature-compensated model with a dual-particle-filter estimator for SOC estimation of power Li-ion batteries in EVs. To overcome the effect of model parameter perturbations caused by temperature, a practical temperature-compensated battery model, in which the temperature and current are taken as model inputs, is presented to study and describe the relationship between the internal resistance, voltage and the temperature comprehensively. Additionally, the drift current is considered as an undetermined static parameter in the battery model to eliminate the effect of the drift current. Then, we build a dual-particle-filter estimator to obtain simultaneous SOC and drift current estimation based on the temperature-compensated model. The experimental and simulation results indicate that the proposed method based on the temperature-compensated model and the dual-particle-filter estimator can realize an accurate and robust SOC estimation.
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影响因子：
11.2
作者：
Yao He;Xingtao Liu;Chenbin Zhang;Zonghai Chen
通讯作者：
Yao He;Xingtao Liu;Chenbin Zhang;Zonghai Chen
影响因子：
9.2
作者：
X. Rui;Yao-Jun Jin;Xuyong Feng;Liang Zhang;C. H. Chen
通讯作者：
X. Rui;Yao-Jun Jin;Xuyong Feng;Liang Zhang;C. H. Chen
DOI：
10.1109/78.978383
发表时间：
2002-02
期刊：
IEEE Trans. Signal Process.
影响因子：
--
作者：
G. Storvik
通讯作者：
G. Storvik
影响因子：
11.2
作者：
He, Hongwen;Xiong, Rui;Guo, Hongqiang
通讯作者：
Guo, Hongqiang
影响因子：
11.2
作者：
Ng, Kong Soon;Moo, Chin-Sien;Hsieh, Yao-Ching
通讯作者：
Hsieh, Yao-Ching