Solving Maxwell Equations in Hybrid Electrical Vehicle to Optimal Design by Multi-Objective Optimization Algorithms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256264" target="_blank" >RIV/61989100:27240/24:10256264 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27730/24:10256264
Result on the web
<a href="https://ieeexplore.ieee.org/document/10772457" target="_blank" >https://ieeexplore.ieee.org/document/10772457</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2024.3510537" target="_blank" >10.1109/ACCESS.2024.3510537</a>

Result language
angličtina
Original language name
Solving Maxwell Equations in Hybrid Electrical Vehicle to Optimal Design by Multi-Objective Optimization Algorithms
Original language description
Hybrid Electrical Vehicles (HEVs) have three magnetic field sources: armature winding currents; permanent magnets; and field winding current. To initiate the investigation, the magnetic field distributions due to those sources are obtained. First, Maxwell's equations need to be solved. Then, the machine is analyzed and the operational indices such as unbalanced magnetic force (UMF) in x- and y direction and instantaneous torque are calculated by using the magnetic flux density distribution. Next, various magnetization patterns, which are presented based on Fourier series, are considered to investigate their influences on the performance of the machine. It is assumed the volume of the machine is determined thanks to thermal considerations. As a result, it is constant so it is maximized average torque instead of torque per volume ratio. After that, the average and ripple of the instantaneous torque are expressed in terms of pole arc to pole pitch ratio by using curve fitting. Finally, the optimal value of average torque and torque ripple are also computed by multi-objective optimization algorithms.
Czech name
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Czech description
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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
20200 - Electrical engineering, Electronic engineering, Information engineering

Project
<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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