LAPSE:2023.26929
Published Article
LAPSE:2023.26929
An Improved SOC Control Strategy for Electric Vehicle Hybrid Energy Storage Systems
Kai Wang, Wanli Wang, Licheng Wang, Liwei Li
April 3, 2023
Abstract
In this paper, we propose an optimized power distribution method for hybrid electric energy storage systems for electric vehicles (EVs). The hybrid energy storage system (HESS) uses two isolated soft-switching symmetrical half-bridge bidirectional converters connected to the battery and supercapacitor (SC) as a composite structure of the protection structure. The bidirectional converter can precisely control the charge and discharge of the SC and battery. Spiral wound SCs with mesoporous carbon electrodes are used as the energy storage units of EVs. Under the 1050 operating conditions of the EV driving cycle, the SC acts as a “peak load transfer” with a charge and discharge current of 2isc~3ibat. An improved energy allocation strategy under state of charge (SOC) control is proposed, that enables SC to charge and discharge with a peak current of approximately 4ibat. Compared with the pure battery mode, the acceleration performance of the EV is improved by approximately 50%, and the energy loss is reduced by approximately 69%. This strategy accommodates different types of load curves, and helps improve the energy utilization rate and reduce the battery aging effect.
Keywords
energy allocation, hybrid energy storage system, supercapacitor
Suggested Citation
Wang K, Wang W, Wang L, Li L. An Improved SOC Control Strategy for Electric Vehicle Hybrid Energy Storage Systems. (2023). LAPSE:2023.26929
Author Affiliations
Wang K: School of Electrical Engineering, Qingdao University, Qingdao 266071, China [ORCID]
Wang W: School of Electrical Engineering, Qingdao University, Qingdao 266071, China
Wang L: College of Information Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Li L: School of Electrical Engineering, Qingdao University, Qingdao 266071, China
Journal Name
Energies
Volume
13
Issue
20
Article Number
E5297
Year
2020
Publication Date
2020-10-12
ISSN
1996-1073
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PII: en13205297, Publication Type: Journal Article
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LAPSE:2023.26929
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https://doi.org/10.3390/en13205297
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