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master's thesis
Optimiranje izvedbe reluktantnog motora za pogon električnih vozila primjenom ANSYS Maxwell programa.
2019. urn:nbn:hr:200:716759
Dmejhal, Zvonimir
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Electromechanical Engineering
Chair of Fundamentals of Electrical Engineering and Measurements

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Dmejhal, Z. (2019). Optimiranje izvedbe reluktantnog motora za pogon električnih vozila primjenom ANSYS Maxwell programa. (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:716759

Dmejhal, Zvonimir. "Optimiranje izvedbe reluktantnog motora za pogon električnih vozila primjenom ANSYS Maxwell programa.." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:716759

Dmejhal, Zvonimir. "Optimiranje izvedbe reluktantnog motora za pogon električnih vozila primjenom ANSYS Maxwell programa.." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2019. https://urn.nsk.hr/urn:nbn:hr:200:716759

Dmejhal, Z. (2019). 'Optimiranje izvedbe reluktantnog motora za pogon električnih vozila primjenom ANSYS Maxwell programa.', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 02 February 2023, https://urn.nsk.hr/urn:nbn:hr:200:716759

Dmejhal Z. Optimiranje izvedbe reluktantnog motora za pogon električnih vozila primjenom ANSYS Maxwell programa. [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2019 [cited 2023 February 02] Available at: https://urn.nsk.hr/urn:nbn:hr:200:716759

Z. Dmejhal, "Optimiranje izvedbe reluktantnog motora za pogon električnih vozila primjenom ANSYS Maxwell programa.", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:200:716759

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Metadata
TitleOptimiranje izvedbe reluktantnog motora za pogon električnih vozila primjenom ANSYS Maxwell programa.
Title (english)Design optimization of the switched reluctance motor for application in electrical vehicle by using ANSYS Maxwell software
AuthorZvonimir Dmejhal
MentorMarinko Barukčić (mentor)
Committee memberMarinko Barukčić (predsjednik povjerenstva)
Committee memberŽeljko Hederić (član povjerenstva)
Committee memberToni Varga (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Electromechanical Engineering)
(Chair of Fundamentals of Electrical Engineering and Measurements)
Osijek
Defense date and country2019-10-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electromechanical Engineering
Abstract
U ovom radu, simuliran je rad reluktantnog motora te je provedena njegova optimizacija u Ansys Maxwell programu kako bi se mogao primjenjivati za pogon električnih automobila. Promjena parametara širine i duljine polova motora utječe na oblik statičke karakteristike momenta i na vrijednost momenta. Geometrija modela, simulacija te optimizacija napravljeni su u Maxwell 2D. Dobiveni rezultati su prikazani i analizirani. Analizom rezultata optimizacije dolazi se do zaključka kako na iznos srednjeg momenta utječu duljina i širina polova statora i rotora, dok na maksimalni moment naviše utječe duljina polova.
Abstract (english)
In this thesis, reluctance motor is simulated and it's optimization in Ansys Maxwell has been conducted that it can be used for electric vehicle propulsion. Change of width and length of stator and rotor poles influence on the shape of static torque characteristic and torque value. Model geometry, simulation and optimization are made in Maxwell 2D. Results obtained from the simulation are presented and analysed. The analysis of the optimization results leads to conclusion that the amount of mean torque is influenced by the length and width of stator and rotor poles, while the maximum torque is influenced by the length of the poles.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:716759
Study programmeTitle: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering
Course: Power Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-12-12 13:51:06