Battery State-of-Health Evaluation for Roadside Energy Storage Systems in Electric Transportation

Author:

Deng Kailong1ORCID,Shen Kaiyuan2,Dong Zihao2,Liang Zekai2,Zhao Lei1,Xu Ting13,Yin Shunde3

Affiliation:

1. College of Transportation Engineering, Chang’an University, Xi’an 710064, China

2. Chang’an Dublin International College of Transportation, Chang’an University, Xi’an 710064, China

3. Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada

Abstract

Battery health assessments are essential for roadside energy storage systems that facilitate electric transportation. This paper uses the samples from the charging and discharging data of the base station and the power station under different working conditions at different working hours and at different temperatures to demonstrate the decay of the battery health of a roadside energy storage system under different cycles. In this paper, for the first time, the predicted state-of-health values are obtained by extracting the characteristic quantities affecting the battery health based on three indicators: the internal resistance, the rate of change of voltage, and the change of temperature. Data on state of health are clustered by K-Means, GMM, K-Means++ and divided into high, medium, and low levels. Using a comparison of the three methods, GMM clustering appears to be the best at reflecting the charging and discharging capacity of the battery.

Publisher

MDPI AG

Subject

General Medicine

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