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Multi-Objective Optimization in Battery Selection for Hybrid Electric Vehicle Applications

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dc.contributor.author Bansal, Hari Om
dc.date.accessioned 2023-02-14T04:21:15Z
dc.date.available 2023-02-14T04:21:15Z
dc.date.issued 2016
dc.identifier.uri https://www.proquest.com/docview/2272186095?pq-origsite=gscholar&fromopenview=true
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9213
dc.description.abstract This paper proclaims the battery selection for hybrid electric vehicle applications using multi- objective optimization techniques. Ashby's methodology, Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) and VIse Kriterijum-ska Optimizacija Komprominsno Resenje (VIKOR) methods are employed here for the assessment. Various attributes considered for analysis are specific energy, energy density, electrical efficiency, self-discharge rate, nominal cell voltage, energy, cost and durability. The batteries considered for analysis are Li- ion, Ni-MH, Ni-Cd and Pb-acid. Based on the performance indices and battery attributes, selection charts and tables are presented here. It is observed that Li-ion batteries are most suitable for hybrid electric vehicle applications followed by Ni-MH batteries. The outcomes of all methods considered are uniform and promising. The results obtained are also matched up with actual practices in automotive industries. Alike results confirm the validity of this study en_US
dc.language.iso en en_US
dc.publisher Journal of Electrical Systems en_US
dc.subject EEE en_US
dc.subject Hybrid Electric Vehicles(HEVs) en_US
dc.subject Battery en_US
dc.subject Li-ion battery en_US
dc.subject VIKOR en_US
dc.subject Ashby's methodology en_US
dc.subject TOPSIS en_US
dc.title Multi-Objective Optimization in Battery Selection for Hybrid Electric Vehicle Applications en_US
dc.type Article en_US


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