Analysis of dynamic battery characteristics based on dynamic synthesis equivalent circuit model

doi:10.19799/j.cnki.2095-4239.2019.0288

Abstract

Abstract:

To determine the internal parameters of the power battery model under changing load and working conditions, this work designs comprehensive experiments considering the battery capacity, temperature, multiplier, hysteresis, self-discharge, and other factors into comprehensive consideration. By analyzing the relationship between the terminal voltage of the power battery and factors such as ohmic, electrochemical, and concentration polarizations; unbalanced potential; and the hysteresis characteristics, the internal state variables of the power battery were determined and a dynamic integrated equivalent-circuit model was proposed. Dynamic identification was performed using a hybrid pulse-power characteristic method. The performance of the proposed model under varying operating conditions was compared with those of the Rint model, the partnership for a new generation of vehicle model, and the second-order RC model. The performance index was the Akaike information criterion (AIC). The average error of the proposed model was 52.3% lower than that of the other models. Moreover, the AIC and calculation values were moderate, implying that the proposed method better balances accuracy and structural complexity than the comparison methods. This study will be helpful in promoting the application of equivalent circuit models in practical engineering.

Key words: power battery, equivalent circuit model, hysteresis effect, Akaike information criterion

CLC Number:

TP 302.1

FENG Juqiang, SI Yuwen, WU Long, HUANG Kaifeng, ZHANG Xing. Analysis of dynamic battery characteristics based on dynamic synthesis equivalent circuit model[J]. Energy Storage Science and Technology, 2020, 9(3): 986-992.

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