A Combined Multiple Factor Degradation Model and Online Verification for Electric Vehicle Batteries

Yuan Chen, Yigang He, Zhong Li and Liping Chen
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Yuan Chen: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Yigang He: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Zhong Li: Jianghuai Automobile Co. Ltd, Hefei 230092, China
Liping Chen: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Energies, 2019, vol. 12, issue 22, 1-12

Abstract: Battery state of health (SOH) is related to the reduction of total capacity due to complicated aging mechanisms known as calendar aging and cycle aging. In this study, a combined multiple factor degradation model was established to predict total capacity fade considering both calendar aging and cycle aging. Multiple factors including temperature, state of charge (SOC), and depth of discharge (DOD) were introduced into the general empirical model to predict capacity fade for electric vehicle batteries. Experiments were carried out under different aging conditions. By fitting the data between multiple factors and model parameters, battery degradation equations related to temperature, SOC, and DOD could be formulated. The combined multiple factor model could be formed based on the battery degradation equations. An online state of health estimation based on the multiple factor model was proposed to verify the correctness of the model. Predictions were in good agreement with experimental data for over 270 days, as the margin of error between the prediction data and the experimental data never exceeded 1%.

Keywords: combined multiple factor degradation model; calendar aging; cycle aging; online state-of-health prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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