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dc.contributor.advisorGerardo, Bobby D.
dc.contributor.authorSubong, Paul Marlou C.
dc.date.accessioned2024-08-28T05:58:50Z
dc.date.available2024-08-28T05:58:50Z
dc.date.issued2018-10
dc.identifier.citationSubong, P. M. C. (2018). Solar autonomous vehicle with enhanced charging mechanism based on regression algorithm for agricultural application [Master’s thesis, West Visayas State University]. WVSU Institutional Repository and Electronic Dissertations and Theses PLUS.en
dc.identifier.urihttps://hdl.handle.net/20.500.14353/618
dc.description.abstractFactors like sunlight, current drawn and voltage were considered as triggers in the ability to efficiently charge storage batteries and in line with the type of charging algorithm to be used either Pulse Width Modulation (PWM) or Maximum Power Point Tracking (MPPT) techniques. Thus, these provide ways of choosing appropriate algorithm for optimized charging in a given state of charge of the batteries especially for solar vehicle where it is usually changing positions; thus affect charging capabilities. Solar controllers functions differently such as the MPPT and the PWM solar controllers, which current drawn from the PV cells to the voltage storage to the batteries. Research and tests were conducted which solar controller to be use in such conditions. The researcher used Regression Algorithm to determine which of the two would charge the batteries better and optimally operates the mechanism and prolongs the battery life in such weather conditions. This study brought and modified a full scale electric motorized vehicle. Aside from mechanized machineries, the system can also be incorporated to some other systems that uses solar power.en
dc.format.extentx, 55 p. : ill. (col.).en
dc.language.isoenen
dc.publisherWest Visayas State Universityen
dc.subjectMaximum Power Point Trackingen
dc.subjectAgricultural Applicationen
dc.subjectRegression Algorithmen
dc.subjectCharging mechanismen
dc.subject.lcshSolar energyen
dc.subject.lcshPulse-duration modulationen
dc.subject.lcshSolar vehicles
dc.subject.lcshAutomated vehicles
dc.subject.lcshPhotovoltaic cells
dc.subject.lcshOrganic photovoltaic cells
dc.subject.lcshSolar energy--Industrial applications
dc.subject.lcshEnergy conservation--Industrial applications
dc.subject.lcshMachine learning
dc.titleSolar autonomous vehicle with enhanced charging mechanism based on regression algorithm for agricultural applicationen
dc.typeThesisen
dcterms.accessRightsLimited public accessen
dcterms.subjectEnergy availability
dcterms.subjectEnergy demands
dcterms.subjectPulse width modulation
dcterms.subjectAgricultural application
dcterms.subjectCharge controllers
dcterms.subjectEnergy storage applications
dcterms.subjectRenewable technologies
dcterms.subject
dcterms.subject
dcterms.subject
dcterms.subject
dcterms.subject
thesis.degree.disciplineCollege of Information and Communications Technologyen
thesis.degree.grantorWest Visayas State Universityen
thesis.degree.levelMastersen
thesis.degree.nameMaster in Information Technologyen
dc.contributor.chairDe Castro, Joel T.
dc.contributor.committeememberConcepcion, Ma. Beth S.
dc.contributor.committeememberElijorde, Frank I.
dc.contributor.committeememberSumido, Evan C.
dc.contributor.committeememberDuran, Peter Rey
dc.subject.sdgSDG 7 - Affordable and clean energyen
dc.subject.sdgSDG 9 - Industry, innovation and infrastructureen


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