LAPSE:2023.20361
Published Article
LAPSE:2023.20361
Cascade Active Balance Charging of Electric Vehicle Power Battery Based on Model Prediction Control
Qi Wang, Chen Wang, Xingcan Li, Tian Gao
March 17, 2023
As a bi-directional converter, the Buck-Boost converter, which has the advantages of simple structure and taking the SOC of the battery as the balance variable, is adopted as the balance topology in this paper. In view of the shortcomings of traditional balance topology, which can only balance two adjacent batteries, resulting in a long balance time and insufficient balance accuracy, a cascade active balance charging topology that can balance in intra-group and inter-group situations simultaneously is proposed. At the same time, the fuzzy control algorithm and model predictive control are used as the balance control strategies, respectively, to control whether the MOSFET is on or off in the balance topology circuit. The duty cycle is dynamically adjusted to the size of the balance current to achieve the balance of the battery pack. The results show that the cascade Buck-Boost balance topology based on model prediction control can accurately control the balancing current and improve the accuracy and speed of the balance, and it is more suitable for the actual working process.
Keywords
active balance charging, balance control strategy, buck-boost converter, cascade balance topology structure, Model Predictive Control
Suggested Citation
Wang Q, Wang C, Li X, Gao T. Cascade Active Balance Charging of Electric Vehicle Power Battery Based on Model Prediction Control. (2023). LAPSE:2023.20361
Author Affiliations
Wang Q: School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710072, China; School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710032, China
Wang C: School of Electerical Engineering, Xi’an University of Technology, Xi’an 710048, China
Li X: School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710032, China
Gao T: School of Electronic and Information, Northwestern Polytechnical University, Xi’an 710072, China
Journal Name
Energies
Volume
16
Issue
5
First Page
2287
Year
2023
Publication Date
2023-02-27
Published Version
ISSN
1996-1073
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PII: en16052287, Publication Type: Journal Article
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doi:10.3390/en16052287
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