LAPSE:2023.15502
Published Article
LAPSE:2023.15502
Composite Non-Linear Control of Hybrid Energy-Storage System in Electric Vehicle
Zhangyu Lu, Xizheng Zhang
March 2, 2023
Abstract
The underlying circuit control is a key problem of the hybrid energy-storage system (HESS) in electric vehicles (EV). In this paper, a composite non-linear control strategy (CNC) is proposed for the accurate tracking current/voltage of the fully-active HESS by combining the exact feedback linearization method and the sliding mode variable structure control technology. Firstly, by analyzing the circuit characteristics of HESS, the affine non-linear model of fully-active HESS is derived. Then, a rule-based energy management strategy (EMS) is designed to generate the reference current value. Finally, the HESS is linearized by the exact feedback linearization method, and the proposed CNC strategy is developed combined with sliding mode variable structure control technology to ensure fast response, high performance, and robustness. At the same time, the stability proof based on the Lyapunov method is given. Moreover, the performance of the CNC strategy is thoroughly investigated and compared with simulation studies with the traditional PI control and a modified sliding mode control, and its effectiveness under different driving conditions is fully verified.
Keywords
exact feedback linearization, hybrid energy-storage system, non-linear, sliding mode control
Suggested Citation
Lu Z, Zhang X. Composite Non-Linear Control of Hybrid Energy-Storage System in Electric Vehicle. (2023). LAPSE:2023.15502
Author Affiliations
Lu Z: Hunan Institute of Engineering, College of Computer and Communication, Xiangtan 411104, China
Zhang X: Hunan Institute of Engineering, College of Computer and Communication, Xiangtan 411104, China [ORCID]
Journal Name
Energies
Volume
15
Issue
4
First Page
1567
Year
2022
Publication Date
2022-02-21
ISSN
1996-1073
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Original Submission
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PII: en15041567, Publication Type: Journal Article
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https://doi.org/10.3390/en15041567
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