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

Ghazali, Mohammad (author), Chaghazardi, Zahra (author), Daryabari, Seyedmohammad (author), Harman, Caner (author), Vukotić, Mario (author), Miljavec, Damijan (author), Hartavi, Ahu Ece (author)

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.

• Language: English
• Keywords: electric heavy comercial vehicle, electric machine, multy-physics model, energy optimisation, refuse truck
• Work type: Article
• Typology: 1.08 - Published Scientific Conference Contribution
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2023
• Number of pages: Str. 117-123
• Numbering: Vol. 72
• PID: 20.500.12556/RUL-164584
• UDC: 621.313/.314
• ISSN on article: 2352-1465
• DOI: 10.1016/j.trpro.2023.11.384
• COBISS.SI-ID: 211891715
• Publication date in RUL: 04.11.2024

Record is a part of a proceedings

• Title: TRA Lisbon 2022 Conference Proceedings Transport Research Arena (TRA Lisbon 2022),14th-17th November 2022, Lisboa, Portugal
• COBISS.SI-ID: 182694915

Record is a part of a journal

• Title: Transportation research procedia
• Publisher: Elsevier
• ISSN: 2352-1465
• COBISS.SI-ID: 520396313

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: električno težko gospodarsko vozilo, električni stroj, multi-fizikalni model, obratovalna temperatura, optimizacija energije, smetarski tovornjak

Projects

• Funder: EC - European Commission
• Project number: 769506
• Name: Optimization of scalaBle rEaltime modeLs and functIonal testing for e-drive ConceptS
• Acronym: OBELICS

• Funder: EC - European Commission
• Project number: 824244
• Name: Integrated components, systems and architectures for efficient adaption and conversion of commercial vehicle platforms to 3rd generation battery electric vehicles for future CO2-free city logistics
• Acronym: SYS2WHEEL