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Optimisation of electric vehicle battery size

Jones, Niall, Nazarenus, Simon, Stamatis, Konstantinos ORCID:, Potoglou, Dimitris ORCID:, Zachariah, Andreas and Cipcigan, Liana ORCID: 2023. Optimisation of electric vehicle battery size. Presented at: 8th International Electric Vehicle Conference (EVC 2023), Edinburgh, UK, 21-23 June 2023. Published in: Muhammad-Sukki, Firdaus, Bani, Nurul Aini and Tingas, Efstathios (Stathis) Alexandros eds. Transportation Research Procedia. , vol.70 Elsevier, pp. 338-346. 10.1016/j.trpro.2023.11.038

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Energy storage and battery technologies have taken centre stage in the race to meet the UK government target to ban new petrol and diesel cars by 2030. However, underlying key issues such as resource demand and negative public opinion must be solved before the high uptake of electric vehicles. The research conducted in this paper proposed viable solutions to these challenges through modelling of real driver data utilising an agent based modelling approach. Per month state of charge analysis confirmed that the current charging infrastructure in circulation will not accommodate the miniaturisation of electric vehicle battery size. Thus, an improved alternative charging infrastructure was proposed, which enabled the optimal battery size to be reduced by up to 40%. The users stop times were analysed to assign an optimal battery size based upon monthly driving behaviour concluding daily inner city drivers require a 30kWh battery and daily long distance drivers require a 40kWh battery. When decreasing the battery size by the proposed 40% there is a £2650.60 saving and a 6.4kg lithium demand decrease per battery when compared to the current average battery size.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 2352-1465
Date of First Compliant Deposit: 20 November 2023
Date of Acceptance: 12 June 2022
Last Modified: 20 Nov 2023 11:08

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