Definition and Evaluation Method of Surplus Use Value of Power Battery Based on Multi-parameters

doi:10.11985/2024.01.012

Abstract

Abstract:

Lithium-ion batteries are widely used in areas such as electric vehicles and energy storage, accurate value assessment is crucial for the long-term stable operation of electric vehicles and energy storage systems. The traditional value assessment method based on a single parameter does not take into account the complex coupling relationship of parameters and is neither accurate nor objective. To solve these problem, a multi-parameter based definition and evaluation method of power battery remaining useful value(RUV) is proposed. The method considers key parameters that affect battery performance, such as state of health(SOH), remaining useful life(RUL), and capacity fading rate, and uses the entropy weight method to objectively weight each indicator. The scores of each evaluation index are calculated by the maximum and minimum method to comprehensively evaluate the remaining use value of the battery. Through verification on the MIT data set, it can be seen that this definition is reasonable and effective for evaluating battery value, and the calculation method is simple and robust. It provides a new idea for the comprehensive evaluation of the remaining use value of batteries, which is helpful for battery management and reasonable recycling.

Key words: Power battery, remaining useful value, entropy weight method, comprehensive evaluation

CLC Number:

TM912

GONG Yichang, ZHU Yuhao, GU Xin, WANG Teng, SHANG Yunlong. Definition and Evaluation Method of Surplus Use Value of Power Battery Based on Multi-parameters[J]. Journal of Electrical Engineering, 2024, 19(1): 117-123.

Figures/Tables 9

References 26

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指标	权重
SOH	ω_s
RUL	ω_r
容量衰减率	ω_o

指标	权重
SOH	0.39
RUL	0.33
容量衰减率	0.28

电池序号	SOH(%)	RUL/次	容量衰减率	剩余价值(%)
2	98	3 857	0.000 3	98.6
13	97	2 532	0.000 4	87.2
42	95	992	0.001 1	73.3
55	86	662	0.000 2	43.6
65	98	3 862	0.000 4	95.7
72	87	556	0.000 4	42.9
77	89	884	0.000 4	52.2
89	90	859	0.000 4	51.6
103	92	517	0.001 3	40.3
116	96	3 344	0.000 3	86.4