Hybrid Electric Vehicle Modelling And Fuel Economy Regression Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F22%3A00010187" target="_blank" >RIV/46747885:24220/22:00010187 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24620/22:00010187
Result on the web
<a href="https://www.actapress.com/PaperInfo.aspx?paperId=55234" target="_blank" >https://www.actapress.com/PaperInfo.aspx?paperId=55234</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2316/J.2022.201-0297" target="_blank" >10.2316/J.2022.201-0297</a>
Alternative languages
Result language
angličtina
Original language name
Hybrid Electric Vehicle Modelling And Fuel Economy Regression Analysis
Original language description
This paper starts with reviewing of recent developments and studies on hybrid electric vehicle (HEV) modelling, control, and fuel economy management. Then, the paper presents and guides modelling of HEVs on Matlab 2021b Simulink with powertrain, internal combustion engine, battery, converter, starter/generator motor, vehicle dynamics, control system, and the whole integrated HEV model. Latest hybrid electrical models are simulated on standard driving cycles of Extra-Urban Driving Cycle, New York City Cycle, Federal Test Procedure 75, and Highway Fuel Economy Test. Data on fuel consumption are collected and processed in Matlab to set up different fuel consumption regression models. The best fit regression model for HEV fuel consumption estimation is found with the determination coefficient R square more than 99.14%. The best HEV selected fuel regression model is then simulated and compared to the normal HEVs with the same sizes on different driving cycles to prove the optimal performances of the selected HEVs on fuel economy consumptions.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mechatronic systems and control
ISSN
2561-1771
e-ISSN
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Volume of the periodical
50
Issue of the periodical within the volume
4
Country of publishing house
CA - CANADA
Number of pages
10
Pages from-to
171-181
UT code for WoS article
000908367300001
EID of the result in the Scopus database
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