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Optimal fuel control of series-parallel input split hybrid electric vehicle using genetic algorithm based control strategy

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dc.contributor.author Bansal, Hari Om
dc.date.accessioned 2023-02-15T09:21:15Z
dc.date.available 2023-02-15T09:21:15Z
dc.date.issued 2015
dc.identifier.uri https://ieeexplore.ieee.org/document/7235069
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9243
dc.description.abstract The present transportation system heavily relies on of internal combustion engine (ICE) based vehicles. These vehicles emit toxic gases, which results in environmental pollution and create massive health problem. For energy security and greener tomorrow, the concept of hybrid vehicle came into existence. Hybrid vehicles consist of alternative energy storages like fuel-cell, super capacitor, battery or hybrid storage. The presence of two power sources, i.e., engine and battery, makes it necessary to intelligently split the power between them to minimize the fuel consumption. An intelligent controller should be used to split the on road power demand for optimum fuel economy. This article applies a genetic algorithm based controller to toggle between engine and battery. The optimization is based on the selection of vital parameters such as state of charge in the battery, engine on time and power demand. The authenticity and feasibility of proposed controller are verified extensively through numerous simulation results. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject EEE en_US
dc.subject Fuel efficiency en_US
dc.subject Genetic algorithm en_US
dc.subject Hybrid Electric Vehicles(HEVs) en_US
dc.subject Power optimization en_US
dc.subject Planetary gear en_US
dc.title Optimal fuel control of series-parallel input split hybrid electric vehicle using genetic algorithm based control strategy en_US
dc.type Article en_US


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