Joint Optimization of Electric Vehicle Fast Charging and DC Fast Charging Station

Abbasi, MH; Zhang, J

Joint Optimization of Electric Vehicle Fast Charging and DC Fast Charging Station

Abbasi, MH Zhang, J

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021, 2022, 00, pp. 1786-1791
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Abbasi, MH
dc.contributor.author	Zhang, J https://orcid.org/0000-0003-2616-6722
dc.date	2021-12-09
dc.date.accessioned	2023-04-06T03:54:59Z
dc.date.available	2023-04-06T03:54:59Z
dc.date.issued	2022-01-01
dc.identifier.citation	International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021, 2022, 00, pp. 1786-1791
dc.identifier.isbn	9781665442312
dc.identifier.uri	http://hdl.handle.net/10453/169317
dc.description.abstract	Joint optimization of electric vehicle (EV) fast charging and DC fast charging (DCFC) station problems is presented in this paper. An electro-thermal-aging model is used for modeling EV's battery cell. The model is then expanded from a single cell to a battery pack based on the structure of commercially available EV batteries in the market. Moreover, the limitations imposed by the DCFC station are properly considered in the problem's constraints, including restrictions due to the cost of electricity, especially demand charge, and port power rating of chargers. The station's profit is maximized, and its cost is minimized considering demand charge and energy charge tariffs. Finally, the problem is discretized and numerically evaluated in a detailed case study.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	International Conference on Electrical, Computer, and Energy Technologies, ICECET 2021
dc.relation.ispartof	International Conference on Electrical, Computer and Energy Technologies
dc.relation.isbasedon	10.1109/ICECET52533.2021.9698541
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Joint Optimization of Electric Vehicle Fast Charging and DC Fast Charging Station
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Cape Town, South Africa
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-04-06T03:54:58Z
pubs.finish-date	2021-12-10
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2021-12-09
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

Joint optimization of electric vehicle (EV) fast charging and DC fast charging (DCFC) station problems is presented in this paper. An electro-thermal-aging model is used for modeling EV's battery cell. The model is then expanded from a single cell to a battery pack based on the structure of commercially available EV batteries in the market. Moreover, the limitations imposed by the DCFC station are properly considered in the problem's constraints, including restrictions due to the cost of electricity, especially demand charge, and port power rating of chargers. The station's profit is maximized, and its cost is minimized considering demand charge and energy charge tariffs. Finally, the problem is discretized and numerically evaluated in a detailed case study.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/169317