Optimal sizing and sensitivity analysis of a battery-supercapacitor energy storage system for electric vehicles
Optimal sizing and sensitivity analysis of a battery-supercapacitor energy storage system for electric vehicles
This paper presents a sizing method with sensitivity analysis for battery-supercapacitor hybrid energy storage systems (HESSs) to minimize vehicle-lifetime costs. An optimization framework is proposed to solve joint energy management-sizing optimization. Sensitivity analysis is performed using eight parameters of the vehicle, HESS system and components as sensitive factors. We explain why HESS sizing is sensitive to each factor by discussing the change of optimal HESS size and costs with varying factor values. The relative importance of each factor in practical engineering is quantified and compared. Results show that battery degradation accounts for around 89% of HESS costs; among eight sensitive factors, vehicle driving range has the biggest impact on HESS costs with a calculated impact degree of 1.243. By analyzing comprehensive factors in optimization of HESS sizing, it is expected to provide general a sizing guide applicable to various application scenarios of HESS in electric vehicles.
Cost optimization, Electric vehicle, Hybrid energy storage system, Sensitivity analysis, Sizing
Zhu, Tao
2333524f-f55e-4069-85b9-82d89277efc4
Wills, Richard
60b7c98f-eced-4b11-aad9-fd2484e26c2c
Lot, Roberto
ceb0ca9c-6211-4051-a7b8-90fd6f0a6d78
Kong, Xiaodan
55d6759d-56be-4c5d-943e-82735b7fcc5e
Yan, Xingda
2d256fbf-9bee-4c5e-9d75-fe15d1a96ade
15 April 2021
Zhu, Tao
2333524f-f55e-4069-85b9-82d89277efc4
Wills, Richard
60b7c98f-eced-4b11-aad9-fd2484e26c2c
Lot, Roberto
ceb0ca9c-6211-4051-a7b8-90fd6f0a6d78
Kong, Xiaodan
55d6759d-56be-4c5d-943e-82735b7fcc5e
Yan, Xingda
2d256fbf-9bee-4c5e-9d75-fe15d1a96ade
Zhu, Tao, Wills, Richard, Lot, Roberto, Kong, Xiaodan and Yan, Xingda
(2021)
Optimal sizing and sensitivity analysis of a battery-supercapacitor energy storage system for electric vehicles.
Energy, 221, [119851].
(doi:10.1016/j.energy.2021.119851).
Abstract
This paper presents a sizing method with sensitivity analysis for battery-supercapacitor hybrid energy storage systems (HESSs) to minimize vehicle-lifetime costs. An optimization framework is proposed to solve joint energy management-sizing optimization. Sensitivity analysis is performed using eight parameters of the vehicle, HESS system and components as sensitive factors. We explain why HESS sizing is sensitive to each factor by discussing the change of optimal HESS size and costs with varying factor values. The relative importance of each factor in practical engineering is quantified and compared. Results show that battery degradation accounts for around 89% of HESS costs; among eight sensitive factors, vehicle driving range has the biggest impact on HESS costs with a calculated impact degree of 1.243. By analyzing comprehensive factors in optimization of HESS sizing, it is expected to provide general a sizing guide applicable to various application scenarios of HESS in electric vehicles.
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Accepted/In Press date: 11 January 2021
e-pub ahead of print date: 18 January 2021
Published date: 15 April 2021
Keywords:
Cost optimization, Electric vehicle, Hybrid energy storage system, Sensitivity analysis, Sizing
Identifiers
Local EPrints ID: 446660
URI: http://eprints.soton.ac.uk/id/eprint/446660
ISSN: 0360-5442
PURE UUID: 7c771791-c53b-49d0-810e-67bbe00e02fa
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Date deposited: 17 Feb 2021 17:31
Last modified: 17 Mar 2024 06:18
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Contributors
Author:
Roberto Lot
Author:
Xiaodan Kong
Author:
Xingda Yan
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