Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97731
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dc.contributorDepartment of Electrical Engineeringen_US
dc.creatorChai, Sen_US
dc.creatorXu, NZen_US
dc.creatorNiu, Men_US
dc.creatorChan, KWen_US
dc.creatorChung, CYen_US
dc.creatorJiang, Hen_US
dc.creatorSun, Yen_US
dc.date.accessioned2023-03-09T07:43:07Z-
dc.date.available2023-03-09T07:43:07Z-
dc.identifier.urihttp://hdl.handle.net/10397/97731-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication S. Chai et al., "An Evaluation Framework for Second-Life EV/PHEV Battery Application in Power Systems," in IEEE Access, vol. 9, pp. 152430-152441, 2021 is available at https://doi.org/10.1109/ACCESS.2021.3126872.en_US
dc.subjectBattery degradationen_US
dc.subjectBattery energy storage system (BESS)en_US
dc.subjectBattery repurposingen_US
dc.subjectEconomic dispatch (ED)en_US
dc.subjectElectric vehicle (EV)en_US
dc.subjectEnd-of-life (EOL)en_US
dc.subjectForecast erroren_US
dc.subjectPlug-in electric vehicle (PHEV)en_US
dc.subjectSecond-life applicationen_US
dc.subjectUsed-batteryen_US
dc.titleAn evaluation framework for second-life EV/PHEV battery application in power systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage152430en_US
dc.identifier.epage152441en_US
dc.identifier.volume9en_US
dc.identifier.doi10.1109/ACCESS.2021.3126872en_US
dcterms.abstractEnergy storage is essential for balancing the generation and load in power systems. Building a battery energy storage system (BESS) with retired battery packs from electric vehicles (EVs) or plug-in hybrid electric vehicles (PHEVs) is one possible way to subsidize the price of EV/PHEV batteries, and at the same time mitigating forecast error introduced by load and renewable energy sources in power systems. This paper proposes a detailed framework to evaluate end-of-life (EOL) EV/PHEV batteries in BESS application. The framework consists of three parts. A generalized model for battery degradation is first introduced. It is followed by modeling the battery retirement process in its first life. Two vehicle types - EV and PHEV - as well as two retirement modes - nominal and realistic modes - are considered. Finally, the application of the second-life BESS in power systems is modeled in a detailed economic dispatch (ED) problem. This is how second-life BESS's performance translates into cost savings on power generation. An optimization problem is formulated to maximize total cost savings in power generation over the battery's second life. This is done by striking a balance between short-term benefit (daily cost savings) and long-term benefit (cost savings through service years). Numerical results validate the effectiveness of the proposed framework/models. They show that battery usage and retirement criterion in its first life directly affect the performance in its second life application. In our case study, EV battery packs possess larger EOL energy capacities and consequently generate more cost savings in the second life. However, the BESS built from retired PHEV batteries has higher cost savings per MWh. It is because, with the proposed degradation model, battery health is better preserved in PHEV applications. Compared to nominal retirement mode, realistic retirement mode results in extra cost savings due to the reduced first-life service years.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE Access, 2021, v. 9, p. 152430-152441en_US
dcterms.isPartOfIEEE accessen_US
dcterms.issued2021-
dc.identifier.isiWOS:000720507000001-
dc.identifier.scopus2-s2.0-85120362581-
dc.identifier.eissn2169-3536en_US
dc.description.validate202303 bcwwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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