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Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehicles

Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehicles
Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehicles
This paper presents sizing guides and energy management (EM) benchmarks of battery-supercapacitor (SC) hybrid energy storage system (HESS) in electric vehicle (EV) applications. We explain how to optimize the HESS size in order to minimize battery degradation and financial costs in EVs. We also illustrate the optimal EM benchmarks that can minimize battery degradation with whatever EM technique implemented. By decoupling the EM problem from the sizing one, we reveal the general trends of battery degradation with HESS size, which are irrelevant to design parameters of EVs and specifications of batteries and SCs. The vehicle-lifetime battery replacements and HESS costs are discussed with HESS sizing method. The efficacy of the proposed sizing guides and EM benchmarks is tested in the case study of a sports EV. Results show that the optimally sized HESS can extend battery lifetime by 37% as compared with the battery-only energy storage system and can reduce vehicle-lifetime HESS costs by up to 39% as compared with the unoptimized HESS designs, respectively.
Battery degradation, Electric vehicle, Energy Management, Hybrid energy storage system, Sizing
0360-5442
1-13
Zhu, Tao
2333524f-f55e-4069-85b9-82d89277efc4
Lot, Roberto
ceb0ca9c-6211-4051-a7b8-90fd6f0a6d78
Wills, Richard
60b7c98f-eced-4b11-aad9-fd2484e26c2c
Yan, Xingda
f1cb05e7-9338-462b-b368-cb104540024d
Zhu, Tao
2333524f-f55e-4069-85b9-82d89277efc4
Lot, Roberto
ceb0ca9c-6211-4051-a7b8-90fd6f0a6d78
Wills, Richard
60b7c98f-eced-4b11-aad9-fd2484e26c2c
Yan, Xingda
f1cb05e7-9338-462b-b368-cb104540024d

Zhu, Tao, Lot, Roberto, Wills, Richard and Yan, Xingda (2020) Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehicles. Energy, 208, 1-13, [118336]. (doi:10.1016/j.energy.2020.118336).

Record type: Article

Abstract

This paper presents sizing guides and energy management (EM) benchmarks of battery-supercapacitor (SC) hybrid energy storage system (HESS) in electric vehicle (EV) applications. We explain how to optimize the HESS size in order to minimize battery degradation and financial costs in EVs. We also illustrate the optimal EM benchmarks that can minimize battery degradation with whatever EM technique implemented. By decoupling the EM problem from the sizing one, we reveal the general trends of battery degradation with HESS size, which are irrelevant to design parameters of EVs and specifications of batteries and SCs. The vehicle-lifetime battery replacements and HESS costs are discussed with HESS sizing method. The efficacy of the proposed sizing guides and EM benchmarks is tested in the case study of a sports EV. Results show that the optimally sized HESS can extend battery lifetime by 37% as compared with the battery-only energy storage system and can reduce vehicle-lifetime HESS costs by up to 39% as compared with the unoptimized HESS designs, respectively.

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Accepted/In Press date: 6 July 2020
e-pub ahead of print date: 22 July 2020
Published date: 1 October 2020
Additional Information: Funding Information: The first author gratefully acknowledges the financial supports from China Scholarship Council and University of Southampton. Publisher Copyright: © 2020 Elsevier Ltd
Keywords: Battery degradation, Electric vehicle, Energy Management, Hybrid energy storage system, Sizing

Identifiers

Local EPrints ID: 443494
URI: http://eprints.soton.ac.uk/id/eprint/443494
ISSN: 0360-5442
PURE UUID: 672cba12-c586-4c6d-a618-0bd587b08ca9
ORCID for Roberto Lot: ORCID iD orcid.org/0000-0001-5022-5724
ORCID for Richard Wills: ORCID iD orcid.org/0000-0002-4805-7589

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Date deposited: 26 Aug 2020 16:37
Last modified: 17 Mar 2024 05:50

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Contributors

Author: Tao Zhu
Author: Roberto Lot ORCID iD
Author: Richard Wills ORCID iD
Author: Xingda Yan

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