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Quantitative analysis of the effect of operating temperature on energy performance of an electric heavy commercial vehicle
ID Ghazali, Mohammad (Avtor), ID Chaghazardi, Zahra (Avtor), ID Daryabari, Seyedmohammad (Avtor), ID Harman, Caner (Avtor), ID Vukotić, Mario (Avtor), ID Miljavec, Damijan (Avtor), ID Hartavi, Ahu Ece (Avtor)

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URLURL - Izvorni URL, za dostop obiščite https://www.sciencedirect.com/science/article/pii/S2352146523006816 Povezava se odpre v novem oknu

Izvleček
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.

Jezik:Angleški jezik
Ključne besede:electric heavy comercial vehicle, electric machine, multy-physics model, energy optimisation, refuse truck
Vrsta gradiva:Članek v reviji
Tipologija:1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija:FE - Fakulteta za elektrotehniko
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2023
Št. strani:Str. 117-123
Številčenje:Vol. 72
PID:20.500.12556/RUL-164584 Povezava se odpre v novem oknu
UDK:621.313/.314
ISSN pri članku:2352-1465
DOI:10.1016/j.trpro.2023.11.384 Povezava se odpre v novem oknu
COBISS.SI-ID:211891715 Povezava se odpre v novem oknu
Datum objave v RUL:04.11.2024
Število ogledov:44
Število prenosov:5
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Gradivo je del zbornika

Naslov:TRA Lisbon 2022 Conference Proceedings Transport Research Arena (TRA Lisbon 2022),14th-17th November 2022, Lisboa, Portugal
COBISS.SI-ID:182694915 Povezava se odpre v novem oknu

Gradivo je del revije

Naslov:Transportation research procedia
Založnik:Elsevier
ISSN:2352-1465
COBISS.SI-ID:520396313 Povezava se odpre v novem oknu

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:električno težko gospodarsko vozilo, električni stroj, multi-fizikalni model, obratovalna temperatura, optimizacija energije, smetarski tovornjak

Projekti

Financer:EC - European Commission
Številka projekta:769506
Naslov:Optimization of scalaBle rEaltime modeLs and functIonal testing for e-drive ConceptS
Akronim:OBELICS

Financer:EC - European Commission
Številka projekta:824244
Naslov: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
Akronim:SYS2WHEEL

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