Digital twin-driven framework for EV batteries in automobile manufacturing

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dc.contributor.authorValdez Parra, Rodrigo
dc.contributor.authorPothureddy, Gaurav
dc.contributor.authorSanitas, Tom
dc.contributor.authorKrishnamoorthy, Vishnuvardan
dc.contributor.authorOluwafemi, Oluwatobi
dc.contributor.authorSingh, Sumit
dc.contributor.authorFan, Ip-Shing
dc.contributor.authorShehab, Essam
dc.date.accessioned2024-10-03T09:03:59Z
dc.date.available2024-10-03T09:03:59Z
dc.date.freetoread2024-10-03
dc.date.issued2021-10-20
dc.date.pubOnline2021-07
dc.description.abstractThe successful operation of Electric-Vehicle Batteries (EVB) is paramount for the ever-continuing goal of approaching a low carbon emission future. The Lithium-ion battery (LIB) is currently the best wager to implement on Electric Vehicles (EV). Nonetheless, it comes with its fair trade of challenges. The complexity involved in the design, manufacturing and operating conditions for these batteries has made their control and monitoring paramount. Digital Twin (DT) is concretely defined as a virtual replica of a physical object, process or system. The DT can be implemented in conjunction with the EVB physical embodiment to analyse and enhance its performance. ERP is a system designed to control production and planning amongst others. This paper presents the state-of-the-art battery design, production with the combination of DT and Enterprise system. A five-dimensional DT framework has been proposed linking the physical data and virtual data with ERP. The proposed method was used to model the digital twin of EVB at the concept level and solve its challenges faced in the industry Also the potential application & benefits of the framework have been formalised with the help of a case study from Tesla EVBs.
dc.description.conferencename28th ISTE International Conference on Transdisciplinary Engineering
dc.format.extent181–190
dc.identifier.citationValdez Parra R, Pothureddy G, Sanitas Tom, et al., (2021) Digital twin-driven framework for EV batteries in automobile manufacturing. In: Advances in Transdisciplinary Engineering, Volume 16: Transdisciplinary Engineering for Resilience: Responding to System Disruptions, Proceedings of the 28th ISTE International Conference on Transdisciplinary Engineering, 5-9 July 2021, pp. 181-190
dc.identifier.urihttps://doi.org/10.3233/ATDE210096
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22998
dc.language.isoen
dc.publisherIOS Press
dc.publisher.urihttps://ebooks.iospress.nl/doi/10.3233/ATDE210096
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectElectric-Vehicle Battery (EVB)
dc.subjectDigital Twin (DT)
dc.subjectEnterprise Resource Planning (ERP)
dc.subjectElectric Vehicle (EV)
dc.titleDigital twin-driven framework for EV batteries in automobile manufacturing
dc.typeConference paper
dcterms.coverageVirtual Event
dcterms.dateAccepted2021
dcterms.temporal.endDate09-Jul-2021
dcterms.temporal.startDate05-Jul-2021

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