融合经验老化模型和机理模型的电动汽车锂离子电池寿命预测方法研究

doi:10.19562/j.chinasae.qcgc.2023.05.012

Abstract

Abstract:

In order to improve the prediction accuracy of remaining useful life of lithium-ion power battery in practical application， a remaining useful life prediction method of lithium-ion power battery combining the empirical aging model and the battery mechanism model is proposed in this paper. The method uses the SOH prediction value based on the empirical aging model as the prior estimate of the Kalman algorithm， and uses the SOH predicted by estimating the future capacity decline of the battery based on the mechanism model as the posterior correction of the Kalman algorithm， so as to achieve accurate prediction of the remaining useful life of the lithium-ion battery. The validation results of power battery remaining useful life prediction algorithm based on the cell test data show that the remaining useful life prediction error of lithium ion power battery is ≤ 5.83% and the maximum error of remaining useful life prediction of lithium-ion power battery based on real vehicle data is 8.12%， which has achieved good prediction results and enriched the life prediction methods of lithium ion power battery.

Key words: lithium-ion battery, fusion model, battery remaining useful life prediction, electric vehicles

Haiqiang Liang,Hongwen He,Kangwei Dai,Bo Pang,Peng Wang. Research on Lithium Ion Battery Life Prediction Method Based on Empirical Aging Model and Mechanism Model for Electric Vehicles[J].Automotive Engineering, 2023, 45(5): 825-835.

Figures/Tables 28

References 29

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电芯性能指标	规格特征描述	备注
额定容量/（A·h）	71.0	1/3C
额定容量/（A·h）	68.9	1C
工作电压范围/V	2.9-4.12	25 ℃可用窗口
最大放电电流/A	300	15 s
最大放电电流/A	107	持续
最大充电电流/A	225	15 s
最大充电电流/A	142	持续
工作温度/℃	-20-60	充电

电芯	放电工况	充电工况	环境温度/℃
1	1.5C恒流	标准实车快充MAP	25
2	1.5C恒流	降电流快充MAP	25
3	1C恒流	标准实车快充MAP	25

参数	参数含义	初始值
C_sn0/（mol·m^-3）	负极固相初始锂离子浓度	16 357.836
C_sp0/（mol·m^-3）	正极固相初始锂离子浓度	4 663.44
R_sn/m	负极活性颗粒半径	8.32×10^-6
R_sp/m	正极活性颗粒半径	9.84×10^-6
L_n/m	负极厚度	1.04×10^-4
L_sep/m	隔膜厚度	1.16×10^-4
L_p/m	正极厚度	3.59×10^-5
C_e/（mol·m^-3）	液相锂离子浓度	571.862
A_n/m²	负极有效电极面积	0.117
A_p/m²	正极有效电极面积	0.18
A_sep/m²	隔膜极有效电极面积	0.382 4
t₀	电荷转移系数	0.039
E_en	负极孔隙率	0.3
E_esep	隔膜孔隙率	0.4
E_ep	正极孔隙率	0.28
E_sn	负极活性材料体积分数	0.54
E_sp	正极活性材料体积分数	0.435
a	电化学反应传递系数	0.5
U_side/V	副反应均衡电势	0.4
k	换算系数	1.45×10^-5
K_P^eff	正极液相有效离子电导率	0.5
K_n^eff	负极液相有效离子电导率	0.5
K_sep^eff	隔膜液相有效离子电导率	0.4
R_f/Ω	模型内阻	0.001
k_p/（m^2.5·（mol^0.5·s）^-1）	正极电化学反应速率	1.00×10^-12
k_n/（m^2.5·（mol^0.5·s）^-1）	负极电化学反应速率	1.00×10^-12
η/V	粒子表面过电势	0.4
D_e/（m²·s^-1）	液相扩散系数	7.37868×10^-10
D_sp/（m²·s^-1）	正极固相扩散系数	1.00×10^-12
D_sn/（m²·s^-1）	负极固相扩散系数	1.00×10^-12
c_total，p/（mol·m^-3）	正极最大可用锂离子浓度	35 000
c_total，n/（mol·m^-3）	负极最大可用锂离子浓度	35 000
a_s	锂离子电池的比反应面积	5 000
n_side	参与反应的锂离子数	5 000
i_0，side/（A·m^-2）	换电流密度	5 000

参数	下限	上限
K_P^eff	0.1	0.6
K_n^eff	0.1	0.6
K_sep^eff	0.1	0.6
R_f/Ω	0	0.01
k_p/（m^2.5·（mol^0.5·s）^-1）	1.00×10^-12	1.00×10^-9
k_n/（m^2.5·（mol^0.5·s）^-1）	1.00×10^-12	1.00×10^-9
η/V	0.1	0.6
D_e/（m²·s^-1）	1.00×10^-12	1.00×10^-9
D_sp/（m²·s^-1）	1.00×10^-20	1.00×10^-12
D_sn/（m²·s^-1）	1.00×10^-20	1.00×10^-12
c_total，p/（mol·m^-3）	20 000	45 000
c_total，n/（mol·m^-3）	20 000	45 000
a_s	0	100 000
n_side	0	10 000
i_0，side/（A·m^-2）	0	10 000

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Research on Lithium Ion Battery Life Prediction Method Based on Empirical Aging Model and Mechanism Model for Electric Vehicles

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