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A novel degradation estimation method for a hybrid energy storage system consisting of battery and double-layer capacitor
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Yu, Yuanbin, Zhang, Dongdong, Min, Haitao, Tang, Yi and Zhu, Tao (2016) A novel degradation estimation method for a hybrid energy storage system consisting of battery and double-layer capacitor. Mathematical Problems in Engineering, 2016 . 4903138. doi:10.1155/2016/4903138 ISSN 1024-123X .
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WRAP-A-novel-degradation-estimation-method-for-a-hybrid-energy-storage-system-consisting-of-battery-and-double-layer-capacitor-Zhu-2016.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (891Kb) | Preview |
Official URL: http://dx.doi.org/10.1155/2016/4903138
Abstract
This paper presents a new method for battery degradation estimation using a power-energy (PE) function in a battery/ultracapacitor hybrid energy storage system (HESS), and the integrated optimization which concerns both parameters matching and control for HESS has been done as well. A semiactive topology of HESS with double-layer capacitor (EDLC) coupled directly with DC-link is adopted for a hybrid electric city bus (HECB). In the purpose of presenting the quantitative relationship between system parameters and battery serving life, the data during a 37-minute driving cycle has been collected and decomposed into discharging/charging fragments firstly, and then the optimal control strategy which is supposed to maximally use the available EDLC energy is presented to decompose the power between battery and EDLC. Furthermore, based on a battery degradation model, the conversion of power demand by PE function and PE matrix is applied to evaluate the relationship between the available energy stored in HESS and the serving life of battery pack. Therefore, according to the approach which could decouple parameters matching and optimal control of the HESS, the process of battery degradation and its serving life estimation for HESS has been summed up.
Item Type: | Journal Article | |||||||||
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Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
Library of Congress Subject Headings (LCSH): | Hybrid power systems, Energy storage, Storage batteries, Hybrid electric vehicles | |||||||||
Journal or Publication Title: | Mathematical Problems in Engineering | |||||||||
Publisher: | Hindawi Publishing | |||||||||
ISSN: | 1024-123X | |||||||||
Official Date: | 19 April 2016 | |||||||||
Dates: |
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Volume: | 2016 | |||||||||
Number of Pages: | 7 | |||||||||
Article Number: | 4903138 | |||||||||
DOI: | 10.1155/2016/4903138 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 10 October 2022 | |||||||||
Date of first compliant Open Access: | 10 October 2022 | |||||||||
RIOXX Funder/Project Grant: |
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