Vaš brskalnik ne omogoča JavaScript!
JavaScript je nujen za pravilno delovanje teh spletnih strani. Omogočite JavaScript ali pa uporabite sodobnejši brskalnik.
Nacionalni portal odprte znanosti
Odprta znanost
DiKUL
slv
|
eng
Iskanje
Brskanje
Novo v RUL
Kaj je RUL
V številkah
Pomoč
Prijava
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
)
PDF - Predstavitvena datoteka,
prenos
(661,29 KB)
MD5: 5922A84B564F9D8508C90F0F8A6C5F3B
URL - Izvorni URL, za dostop obiščite
https://www.sciencedirect.com/science/article/pii/S2352146523006816
Galerija slik
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
UDK:
621.313/.314
ISSN pri članku:
2352-1465
DOI:
10.1016/j.trpro.2023.11.384
COBISS.SI-ID:
211891715
Datum objave v RUL:
04.11.2024
Število ogledov:
55
Število prenosov:
7
Metapodatki:
Citiraj gradivo
Navadno besedilo
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Kopiraj citat
Objavi na:
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
Gradivo je del revije
Naslov:
Transportation research procedia
Založnik:
Elsevier
ISSN:
2352-1465
COBISS.SI-ID:
520396313
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
Podobna dela
Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:
Nazaj