Optimal Design of a Hybrid Energy Storage System in a Plug-In Hybrid Electric Vehicle for Battery Lifetime Improvement

Yunfei Bai; Jianwei Li; Hongwen He; Ricardo Caneloi Dos Santos; Qingqing Yang

doi:10.1109/ACCESS.2020.3013596

Optimal Design of a Hybrid Energy Storage System in a Plug-In Hybrid Electric Vehicle for Battery Lifetime Improvement

Yunfei Bai
, Jianwei Li
, Hongwen He
, Ricardo Caneloi Dos Santos
, Qingqing Yang

Beijing Institute of Technology
Universidade Federal do ABC

Research output: Contribution to journal › Article › peer-review

100 Citations (Scopus)

224 Downloads (Pure)

Abstract

This paper proposes a multi-dimensional size optimization framework and a hierarchical energy management strategy (HEMS) to optimize the component size and the power of a plug-in hybrid electric vehicle (PHEV) with the hybrid energy storage system (HESS). In order to evaluate the performance of size optimization and power optimization, a PHEV with a battery energy storage system (BESS) is used as a comparison reference, and the dynamic programming (DP) algorithm is set as a benchmark for comparison. The size optimization method explores the optimal configuration of the system, including the maximum power of the system, the maximum power and capacity of the battery, and the maximum power and capacity of the supercapacitor (SC). Compared with the BESS, the size-optimized HESS reduces the capacity of the system by 31.3% and improves the economy by 37.8%. The HEMS can simultaneously optimize vehicle fuel consumption and suppress battery aging. Its upper layer uses the DP algorithm to optimize fuel economy, and the lower layer apply the linear programming (LP) method to improve battery life. Based on the size optimization results and HEMS, compared with the benchmark, the battery aging rate has been reduced by 48.9%, and the vehicle economy has increased by 21.2%.

Original language	English
Article number	9154768
Pages (from-to)	142148-142158
Number of pages	11
Journal	IEEE Access
Volume	8
Early online date	3 Aug 2020
DOIs	https://doi.org/10.1109/ACCESS.2020.3013596
Publication status	Published - 14 Aug 2020

Bibliographical note

This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited..

Funder

This work was supported by the Nature Science Foundation of China under Grant 51807008 and Grant U1864202.

Funding

This work was supported by the Nature Science Foundation of China under Grant 51807008 and Grant U1864202.

Funders	Funder number
National Natural Science Foundation of China	51807008, U1864202

Keywords

Battery life improvement
hybrid energy storage system
plug-in hybrid electric vehicle
power optimization
size optimization

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

Access to Document

10.1109/ACCESS.2020.3013596Licence: CC BY

PublishedFinal published version, 7.51 MBLicence: CC BY

Cite this

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title = "Optimal Design of a Hybrid Energy Storage System in a Plug-In Hybrid Electric Vehicle for Battery Lifetime Improvement",

abstract = "This paper proposes a multi-dimensional size optimization framework and a hierarchical energy management strategy (HEMS) to optimize the component size and the power of a plug-in hybrid electric vehicle (PHEV) with the hybrid energy storage system (HESS). In order to evaluate the performance of size optimization and power optimization, a PHEV with a battery energy storage system (BESS) is used as a comparison reference, and the dynamic programming (DP) algorithm is set as a benchmark for comparison. The size optimization method explores the optimal configuration of the system, including the maximum power of the system, the maximum power and capacity of the battery, and the maximum power and capacity of the supercapacitor (SC). Compared with the BESS, the size-optimized HESS reduces the capacity of the system by 31.3\% and improves the economy by 37.8\%. The HEMS can simultaneously optimize vehicle fuel consumption and suppress battery aging. Its upper layer uses the DP algorithm to optimize fuel economy, and the lower layer apply the linear programming (LP) method to improve battery life. Based on the size optimization results and HEMS, compared with the benchmark, the battery aging rate has been reduced by 48.9\%, and the vehicle economy has increased by 21.2\%.",

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author = "Yunfei Bai and Jianwei Li and Hongwen He and Santos, \{Ricardo Caneloi Dos\} and Qingqing Yang",

note = "This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.. ",

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AU - Li, Jianwei

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AU - Yang, Qingqing

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Optimal Design of a Hybrid Energy Storage System in a Plug-In Hybrid Electric Vehicle for Battery Lifetime Improvement

Abstract

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Keywords

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