Quantitative analysis of the effect of operating temperature on energy performance of an electric heavy commercial vehicle

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Ghazali, M

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Type of Document: Article
DOI: 10.1016/j.trpro.2023.11.384
Publisher: Elsevier B.V , 2023
Abstract:
Even though heavy-commercial vehicles have a relatively low population density (11%), they still account for a large share of urban noise and CO2 emission (37%). Therefore, trucks are a priority for full electrification. However, heavy-duty trucks (HDT) have complex array of challenges: high energy consumption combined with high daily driving distances. This paper investigates the effect of operating temperature on HDT energy performance. A high-fidelity multi-physics model of electric machine with fixed and variable parameters as nonlinear functions of temperature and coolant flow characteristics was developed. Temperature-dependent motor maps were then generated and integrated with forward-facing vehicle model. Quantitative analyses under different operating conditions with a realistic cycle (ESK) have shown that temperature plays a crucial role for the energy efficiency of EVs. © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
Keywords:
Electric heavy comercial vehicle ; Electric machine ; Energy optimisation ; Multi-physics model ; Operating temperature ; Refuse truck
Source: Transportation Research Procedia ; Volume 72 , 2023 , Pages 117-123 ; 23521457 (ISSN)
URL: https://www.sciencedirect.com/science/article/pii/S2352146523006816