考虑环境温度影响的超级电容SOC加权融合估计方法

doi:10.19562/j.chinasae.qcgc.2023.04.011

Abstract

Abstract:

Accurate estimation of the state of charge （SOC） of supercapacitors plays an important role in electric vehicle hybrid energy storage system， which directly determines the starting， climbing and accelerating performance of electric vehicles. Therefore， this paper proposes a supercapacitor SOC estimation method based on fuzzy entropy weighted fusion. Firstly， the Thevenin model parameters are identified by using the particle swarm algorithm under -10， 10， 25 and 40 ℃， and the nearest neighbor method is adopted to establish the mapping relation between the parameters and temperatures. Then， the fuzzy entropy is utilized to design a SOC weighted fusion estimation method based on three typical Kalman filters. Finally， the SOC estimation method of adaptive weighted averaging and residual normalized weighted fusion is selected to further evaluate the performance of the proposed method in this paper. The results show that supercapacitor SOC estimation method based on fuzzy entropy weighted fusion can improve the supercapacitor SOC estimation accuracy， especially in high ambient temperature environment （40 ℃） .

Key words: supercapacitor, state of charge, variable temperature model, Kalman filter, fusion estimation

Chun Wang,Tao Tang,Yongzhi Zhang. A Supercapacitor SOC Estimation Method Based on Weighted Fusion Considering Ambient Temperature Variation[J].Automotive Engineering, 2023, 45(4): 627-636.

Figures/Tables 10

References 28

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系数	关于温度的多项式
a₀（T）	4.95×10^-1+2.50×10^-4T+5.20×10^-5T²-2.14×10^-6T³
a₁（T）	2.60+1.11×10^-3T-1.38×10^-4T²+3.09×10^-6T³
a₂（T）	-1.03+3.40×10^-3T+9.83×10^-5T²-1.58×10^-6T³
a₃（T）	1.17-6.31×10^-3T-5.59×10^-6T²
a₄（T）	-0.80+3.31×10^-3T
a₅（T）	0.25

温度/℃	SOC估计方法	MAX/%	MAE/%	RMSE/%
-10	EKF	0.821	0.353	0.387
	UKF	1.154	0.330	0.375
	AEKF	0.777	0.353	0.388
	FEWF	0.731	0.327	0.364
	AWF	0.729	0.330	0.366
	RNWF	0.731	0.329	0.365
10	EKF	0.625	0.221	0.259
	UKF	1.335	0.206	0.264
	AEKF	0.615	0.219	0.258
	FEWF	0.696	0.205	0.242
	AWF	0.682	0.207	0.243
	RNWF	0.689	0.206	0.243
25	EKF	0.982	0.344	0.440
	UKF	2.081	0.376	0.477
	AEKF	1.041	0.344	0.438
	FEWF	0.942	0.337	0.413
	AWF	0.944	0.327	0.408
	RNWF	0.943	0.331	0.410
40	EKF	1.441	0.770	0.884
	UKF	3.232	0.659	0.843
	AEKF	1.603	0.782	0.896
	FEWF	1.642	0.613	0.723
	AWF	1.575	0.672	0.776
	RNWF	1.709	0.646	0.755

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A Supercapacitor SOC Estimation Method Based on Weighted Fusion Considering Ambient Temperature Variation

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