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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Shahid Rajaee Teacher Training University</PublisherName>
				<JournalTitle>Journal of Electrical and Computer Engineering Innovations (JECEI)</JournalTitle>
				<Issn>2322-3952</Issn>
				<Volume>3</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Optimal Design of Axial Flux Permanent Magnet Synchronous Motor for Electric Vehicle Applications Using GAand FEM</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>89</FirstPage>
			<LastPage>97</LastPage>
			<ELocationID EIdType="pii">401</ELocationID>
			
<ELocationID EIdType="doi">10.22061/jecei.2016.401</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Ahmadi Darmani</LastName>
<Affiliation>Islamic Azad University, Science and Research Branch</Affiliation>

</Author>
<Author>
					<FirstName>H.</FirstName>
					<LastName>Hooshyar</LastName>
<Affiliation>Islamic Azad University, Science and Research Branch</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>11</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>Axial Flux Permanent Magnet (AFPM) machines are attractive candidates for Electric Vehicles (EVs) applications due to their axial compact structure, high efficiency, high power and torque density. This paper presents general design characteristics of AFPM machines. Moreover, torque density of the machine which is selected as main objective function, is enhanced by using Genetic Algorithm (GA) and variation of PM characteristics, based on sizing equation and Finite Element Analysis (FEA). Then, torque ripple of the motor is reduced according to the effect of PM characteristics on Torque Ripple Factor (TRF). The designed machine produces sinusoidal back-EMF waveform. The torque density is improved and the torque ripple is reduced. The results are validated by using 3D-FEA (FEA) . Furthermore, to assess the obtained results by FEA method, an advanced vehicle simulator (ADVISOR) software is used to demonstrate the performance improvement over the Europe test drive cycles.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Axial Flux Permanent Magnet</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Motor</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Finite Element Analysis (FEA)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Genetic Algorithm (GA)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Torque Ripple Analysis (TRF)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Electric Vehicles (EVs)</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jecei.sru.ac.ir/article_401_43ac7b76bd0739ae0146214b5f13eeb8.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
