1. Shodhganga@INFLIBNET
  2. Vels University
  3. Department of Electrical and Electronics Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/551633
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-03-15T10:44:38Z-
dc.date.available2024-03-15T10:44:38Z-
dc.identifier.urihttp://hdl.handle.net/10603/551633-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEffective Operation of the Battery Management System in an Electric Vehicle by A Deep Learning Approach
dc.title.alternative
dc.creator.researcherManoj S
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guidePradeep Kumar S
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Electrical and Electronics Engineering
dc.date.registered2017
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical and Electronics Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File51.19 kBAdobe PDFView/Open
02_prelim pages.pdf1.68 MBAdobe PDFView/Open
03_content.pdf92.47 kBAdobe PDFView/Open
04_abstract.pdf91.3 kBAdobe PDFView/Open
05_chapter 1.pdf360.06 kBAdobe PDFView/Open
06_chapter 2.pdf376.39 kBAdobe PDFView/Open
07_chapter 3.pdf903.12 kBAdobe PDFView/Open
08_chapter 4.pdf655.31 kBAdobe PDFView/Open
10_annexures.pdf1.75 MBAdobe PDFView/Open
80_recommendation.pdf89.73 kBAdobe PDFView/Open
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