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dc.contributor.authorGowda, Shashank Narayana
dc.contributor.authorEraqi, Basem A.
dc.contributor.authorNazaripouya, Hamidreza
dc.contributor.authorGadh, Rajit
dc.date.accessioned2021-03-24T13:48:04Z
dc.date.available2021-03-24T13:48:04Z
dc.date.issued2021
dc.identifier.citationGowda, S. N., Eraqi, B. A., Nazaripouya, H., & Gadh, R. (2021). Assessment and Tracking Electric Vehicle Battery Degradation Cost using Blockchain. 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). doi:10.1109/isgt49243.2021.9372218
dc.identifier.isbn978-1-7281-8898-0
dc.identifier.issn2167-9665
dc.identifier.doi10.1109/ISGT49243.2021.9372218
dc.identifier.urihttp://hdl.handle.net/10754/668253
dc.description.abstractThis paper proposes a blockchain-based method for assessment and tracking of electric vehicle battery degradation costs. Vehicle-to-Grid (V2G) technology allows the bidirectional flow of electric power between the electric vehicle (EV) and the electric grid. However, for making optimal charging/discharging decisions, it is essential to precisely evaluate the battery degradation. In the proposed method, the initial degradation cost is estimated based on the present status of the EV battery in terms of range and age. Following this, a degradation cost of the battery is obtained from battery specifications and continuously tracking the variables that affect battery energy capacity, which will determine the economic loss to EV users for participating in V2G programs. A Mixed Integer Linear Program to minimize cost includes this degradation cost in its objective function to make the optimal decision for an EV's interaction with the grid. At the end of each 24-hour cycle, the battery degradation cost is updated based on the charging/discharging transactions performed during the cycle and the temperature conditions. These transactions and battery degradation costs are stored in a consortium blockchain that is shared among the relevant actors.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9372218/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9372218/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9372218
dc.rightsArchived with thanks to IEEE
dc.subjectElectric vehicles
dc.subjectV2G
dc.subjectbattery degradation
dc.subjectblockchain
dc.titleAssessment and Tracking Electric Vehicle Battery Degradation Cost using Blockchain
dc.typeConference Paper
dc.contributor.departmentPhysical Science and Engineering,Division King Abdullah University of Science and Technology (KAUST),Thuwal,Saudi Arabia
dc.conference.date16-18 Feb. 2021
dc.conference.name2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
dc.conference.locationWashington, DC, USA
dc.eprint.versionPost-print
dc.contributor.institutionSmart Grid Energy Research Center, University of California,Los Angeles,USA
dc.contributor.institutionSchool of Electrical and Computer Engineering, Oklahoma State University,Stillwater,USA
kaust.personEraqi, Basem A.
refterms.dateFOA2021-03-25T07:24:30Z


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