Joint estimation of SOC/SOP for lithium-ion batteries across a wide temperature range using an electro-thermal coupling model

doi:10.19799/j.cnki.2095-4239.2024.0659

Abstract

Abstract:

Accurate state estimation is crucial for ensuring the safe and reliable operation of lithium-ion batteries. However, achieving simultaneous online estimation of multiple parameters across a broad temperature range is challenging due to strong nonlinearity and multi-parameter coupling. To address this, an electro-thermal coupling model was developed, and battery parameters were identified online using the extended Kalman filter algorithm, the model's accuracy was verified by voltage and temperature simulations. To enhance the utilization of historical data and address the limitations of unscented Kalman filter algorithm (UKF), the multi-innovation theory (MI) was introduced to improve the UKF. The root mean square error of state of charge (SOC) estimation with the improved algorithm in the non-voltage platform areas is reduced to under 1.2%, representing more than 30% improvement. A switching algorithm was also designed, integrating the ampere-hour method to overcome the MIUKF algorithm's limitation of not correcting SOC estimation errors through voltage feedback in the voltage platform areas of lithium iron phosphate batteries. This approach enabled accurate full-range SOC estimation under complex working conditions and at various temperatures. The combined algorithm's accuracy was validated across different initial SOC values, with a root mean square error of less than 3%, providing a reliable SOC value for state of power (SOP) estimation. Finally, under multiple constraint method, a temperature constraint was introduced in SOP estimation. The results show that at high temperature,temperature limitation plays a critical role in preventing excessive temperature rise, thereby reducing potential safety hazards.

Key words: lithium iron phosphate battery, wide temperature range, SOC/SOP joint estimation, electro-thermal coupling model, improving UKF, multiple constraints

CLC Number:

TM 912

Ying LIU, Bingxiang SUN, Xinze ZHAO, Junwei ZHANG. Joint estimation of SOC/SOP for lithium-ion batteries across a wide temperature range using an electro-thermal coupling model[J]. Energy Storage Science and Technology, 2024, 13(9): 3030-3041.

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References 13

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温度	工况	RMSE/V	MAE/V
0 ℃	DST	0.0036	0.0016
0 ℃	FUDS	0.0048	0.0031

25 ℃	DST	0.0013	0.0005
25 ℃	FUDS	0.0014	0.0008

45 ℃	DST	0.0014	0.0004
45 ℃	FUDS	0.0011	0.0006

温度	工况	RMSE/℃	MAE/℃
0 ℃	1C	0.4328	0.3737
	2C	0.7779	0.6499
	3C	0.6987	0.5860

25 ℃	1C	0.3871	0.3251
	2C	0.5035	0.4113
	3C	0.6616	0.5305

45 ℃	1C	0.3214	0.2525
	2C	0.3612	0.3198
	3C	0.3526	0.2731

温度	工况	RMSE/%		MAE/%
温度	工况	UKF	MIUKF	UKF	MIUKF
0 ℃	DST	1.7888	1.1728	1.365	0.7989
0 ℃	FUDS	1.8208	1.1508	1.4761	1.0015

25 ℃	DST	1.744	1.0675	1.4035	0.8723
25 ℃	FUDS	1.6192	0.9634	1.3091	0.7835

45 ℃	DST	1.6289	1.0893	1.4464	0.8127
45 ℃	FUDS	1.7226	1.0843	1.2476	0.8684

温度	SOC初始值	RMSE/%			MAE/%
温度	SOC初始值	安时积分法	MIUKF	结合算法	安时积分法	MIUKF	结合算法
0 ℃	85%	9.1068	7.1927	2.9904	8.9567	6.4151	2.8962
	75%	9.1440	7.9816	2.2316	8.9671	6.6579	2.0082
	65%	9.1712	7.0164	1.8209	8.9681	5.9782	1.5789

25 ℃	85%	9.4286	5.0121	2.2471	9.2621	4.8139	2.1183
	75%	9.3669	4.7065	2.3812	9.1805	4.5251	2.2826
	65%	8.9333	4.7558	2.5692	8.7375	4.2148	2.4085

45 ℃	85%	9.1792	3.7064	2.4992	9.0160	3.4626	2.3809
	75%	9.1503	3.3483	2.6438	8.9664	3.0561	2.5543
	65%	9.1885	6.5585	2.5788	8.9738	5.6445	2.4626

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