HYDROGEN FUEL CELL RANGE EXTENDER POWERTRAIN SIMULATION STUDY FOR URBAN MOBILITY POWERED TWO-WHEELER
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F24%3A00381685" target="_blank" >RIV/68407700:21110/24:00381685 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/24:00381685
Result on the web
<a href="https://doi.org/10.14311/NNW.2024.34.018" target="_blank" >https://doi.org/10.14311/NNW.2024.34.018</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/NNW.2024.34.018" target="_blank" >10.14311/NNW.2024.34.018</a>
Alternative languages
Result language
angličtina
Original language name
HYDROGEN FUEL CELL RANGE EXTENDER POWERTRAIN SIMULATION STUDY FOR URBAN MOBILITY POWERED TWO-WHEELER
Original language description
This study aims to evaluate the viability of hydrogen fuel cell (FC) technology as a range extender in powered two-wheelers (PTWs), focusing on choosing efficient FC size and under a time-limited, constant power delivery FC control strategy. The analysis presented in this study sheds light on the feasibility of hydrogen FC technology as an alternative energy source for mobility applications. In this study, a 1D powertrain simulation model was created, which enables the efficient analysing of both fundamental and advanced behaviour of individual vehicle subsystems and control strategies, even at the early conceptual design phase. The simulation results show that hydrogen FCs are a promising technology for range extension in urban mobility.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20101 - Civil engineering
Result continuities
Project
<a href="/en/project/TM05000029" target="_blank" >TM05000029: Hydrocycle - fuel cell powered light-weight vehicle</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neural Network World
ISSN
1210-0552
e-ISSN
2336-4335
Volume of the periodical
34
Issue of the periodical within the volume
6
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
12
Pages from-to
329-340
UT code for WoS article
001437878400001
EID of the result in the Scopus database
2-s2.0-86000153825