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A Review of Optimal Energy Management Strategies for Hybrid Electric Vehicle
Author(s) -
Aishwarya Panday,
Hari Om Bansal
Publication year - 2014
Publication title -
international journal of vehicular technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.182
H-Index - 18
eISSN - 1687-5710
pISSN - 1687-5702
DOI - 10.1155/2014/160510
Subject(s) - energy management , automotive engineering , internal combustion engine , fuel efficiency , hybrid power , work (physics) , electric motor , battery (electricity) , hybrid vehicle , control (management) , engineering , plug in , power (physics) , computer science , energy (signal processing) , mechanical engineering , statistics , physics , mathematics , quantum mechanics , artificial intelligence , programming language
Presence of an alternative energy source along with the Internal Combustion Engine (ICE) in Hybrid Electric Vehicles (HEVs) appeals for optimal power split between them for minimum fuel consumption and maximum power utilization. Hence HEVs provide better fuel economy compared to ICE based vehicles/conventional vehicle. Energy management strategies are the algorithms that decide the power split between engine and motor in order to improve the fuel economy and optimize the performance of HEVs. This paper describes various energy management strategies available in the literature. A lot of research work has been conducted for energy optimization and the same is extended for Plug-in Hybrid Electric Vehicles (PHEVs). This paper concentrates on the battery powered hybrid vehicles. Numerous methods are introduced in the literature and based on these, several control strategies are proposed. These control strategies are summarized here in a coherent framework. This paper will serve as a ready reference for the researchers working in the area of energy optimization of hybrid vehicles

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