Optimized control strategies for hybrid energy storage and ANN-based driving prediction techniques for energy management systems in electric vehicles

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dc.contributor.authorVonteddu, Shanmukha Naga Raju
dc.date.accessioned2026-09-23T10:28:34Z
dc.date.issued2025-04
dc.descriptionThesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Electrical & Electronics Engineering)
dc.identifier.citationUnder the guidance of Dr. Prasanthi Kumari Nunna, Senior Associate Professor, UPES & Dr. Ravindra Kollu, Professor, Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh
dc.identifier.urihttps://dr.ddn.upes.ac.in/handle/123456789/4580
dc.language.isoen
dc.publisherSchool of Advanced Engineering, UPES, Dehradun
dc.subjectThesis
dc.subjectElectrical and Electronics Engineering
dc.subjectArtificial Neural Network
dc.subjectHybrid Energy Storage System
dc.subjectEnergy Storage System
dc.subjectMachine Learning
dc.subjectDriving Range Prediction
dc.subjectDriving Cycles
dc.titleOptimized control strategies for hybrid energy storage and ANN-based driving prediction techniques for energy management systems in electric vehicles
dc.typeThesis

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