Optimal Fuel Consumption Modelling, Simulation, and Analysis for Hybrid Electric Vehicles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F22%3A00010091" target="_blank" >RIV/46747885:24220/22:00010091 - isvavai.cz</a>

Alternative codes found

RIV/46747885:24620/22:00010091

Result on the web

<a href="https://www.mdpi.com/2571-5577/5/2/36" target="_blank" >https://www.mdpi.com/2571-5577/5/2/36</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/asi5020036" target="_blank" >10.3390/asi5020036</a>

Result language

angličtina

Original language name

Optimal Fuel Consumption Modelling, Simulation, and Analysis for Hybrid Electric Vehicles

Original language description

This paper reviews the latest studies of hybrid electric vehicles (HEVs) on modelling, controls, and energy management. HEV dynamics, formulas, calculations, and schemes of vehicle parts, such as battery, converter, electric motor, generator, and HEV Simulink models, are presented. Moreover, simulations of the propulsion operation, regenerative braking system, and vehicle dynamics are conducted. A comprehensive HEV model is built that is simulated on different driving cycles of Federal Test Procedure 75 (FTP75), New York City Cycle (NYCC), Highway Fuel Economy Test (HWFET), and Extra Urban Driving Cycle (EUDC). Data achieved from these simulations were analysed and tested with several fuel regression models to determine the best fuel regression estimation for HEV fuel consumption on the basis of their weights and tire radiuses. The best fuel regression equation is obtained with a determination coefficient R-squared greater than 99%. Lastly, the optimal model and other HEVs models are simulated on different driving cycles to prove that the fuel consumption of our best-fit regression model is the best.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

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)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied System Innovation

ISSN

25715577

e-ISSN

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Volume of the periodical

5

Issue of the periodical within the volume

2

Country of publishing house

CH - SWITZERLAND

Number of pages

16

Pages from-to

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UT code for WoS article

000787481700001

EID of the result in the Scopus database

2-s2.0-85126781471