A Novel Design on Hybrid Energy Storage System for an Electric Vehicle using NNFF Technology
Roshni Lal1, Abhishake Jain2

1Roshni Lal , Department of Power System Engineering, Ganga Institute of Technology and Management, Jhajjar,Haryana, India.
2Abhishake Jain, Assistant Professor, Electrical Engineering Department, Ganga Institute of Technology and Management, Jhajjar, Haryana, India.

Manuscript received on 4 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP:3444-3448 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5071098319/2019©BEIESP | DOI: 10.35940/ijrte.C5071.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: As each day passes, we, humans, are attracted towards more and more technology for the easiness of our day to day life. One such technology, which has a very high scope in future and in the aspect of reducing pollution and providing clean environment, is the use of electric vehicles. Moreover, the electric vehicles provides long distance endurance and it is really minimizes the cost. This paper mainly discusses about the use and benefit of hybrid energy storage system for electric vehicle with the help of Neural Network Fitting Function technology, which is based on a controller. At last, comparison between graphs of a base model and the proposed model is also shown, which clearly shows reduction in variation of the battery current, super capacitor, load current and dc voltage graph.
Keywords: Battery, Electric Vehicles, Hybrid Energy Storage System, Neural Network Fitting Function, Ultra Capacitor.

Scope of the Article:
Renewable Energy Technology