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Study of fast charging battery

delete2019-12-30
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PRE
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M
Mingfang Liu *
F
Feng Rao
B
Bei Li
X
Xinya Jiang
X
Xianggang Meng
DOI:10.1142/S0217979220400238delete
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Abstract

Abstract

En 中文
The key to battery management systems (BMS) is an accurate and real-time prediction on State of Charge (SOC) of the power battery. The methods of estimating SOC of power battery were analyzed. The gray neural network model was introduced into the field of SOC estimation. The model is used to establish the relationship of SOC, discharge current and rebound voltage. The model can be used to estimate SOC of battery on line by detecting the values of rebound voltage and discharge current during the discharge process. The model of SOC estimation is proved feasible by comparing the experimental data with calculated data.
Keywords:
Power battery
rebound voltage
SOC estimation
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Journal

International Journal of Modern Physics B cover
International Journal of Modern Physics B
IF:
2.8
Papers:
52
Citations:
7.9K

Organization

C
Changzhou Institute of Technology
Scholars:
1.2K
Papers: 998
Citations: 994
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