Optimisation and Efficiency Improvement of Electric Vehicles Using Computational Fluid Dynamics Modelling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F22%3A00010931" target="_blank" >RIV/46747885:24210/22:00010931 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1099-4300/24/11/1584" target="_blank" >https://www.mdpi.com/1099-4300/24/11/1584</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/e24111584" target="_blank" >10.3390/e24111584</a>
Alternative languages
Result language
angličtina
Original language name
Optimisation and Efficiency Improvement of Electric Vehicles Using Computational Fluid Dynamics Modelling
Original language description
Due to the rise in awareness of global warming, many attempts to increase efficiency in the automotive industry are becoming prevalent. Design optimization can be used to increase the efficiency of electric vehicles by reducing aerodynamic drag and lift. The main focus of this paper is to analyse and optimise the aerodynamic characteristics of an electric vehicle to improve efficiency of using computational fluid dynamics modelling. Multiple part modifications were used to improve the drag and lift of the electric hatchback, testing various designs and dimensions. The numerical model of the study was validated using previous experimental results obtained from the literature. Simulation results are analysed in detail, including velocity magnitude, drag coefficient, drag force and lift coefficient. The modifications achieved in this research succeeded in reducing drag and were validated through some appropriate sources. The final model has been assembled with all modifications and is represented in this research. The results show that the base model attained an aerodynamic drag coefficient of 0.464, while the final design achieved a reasonably better overall performance by recording a 10% reduction in the drag coefficient. Moreover, within individual comparison with the final model, the second model with front spitter had an insignificant improvement, limited to 1.17%, compared with 11.18% when the rear diffuser was involved separately. In addition, the lift coefficient was significantly reduced to 73%, providing better stabilities and accounting for the safety measurements, especially at high velocity. The prediction of the airflow improvement was visualised, including the pathline contours consistent with the solutions. These research results provide a considerable transformation in the transportation field and help reduce fuel expenses and global emissions.
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
10300 - Physical sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
ENTROPY
ISSN
1099-4300
e-ISSN
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Volume of the periodical
24
Issue of the periodical within the volume
11
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
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UT code for WoS article
000881364900001
EID of the result in the Scopus database
2-s2.0-85141679006