Paper Title

Optimization of Electric Vehicle Battery Storage by Hybrid Energy System

Authors

Madhu Bhimappa Chavan , Pratibha S Melmalagi , Priyanka B , Kandagal S S

Keywords

BMS, DOD, EVs, HEV, IC Engine, LCD, Relay and SOC

Abstract

Energy Conservation is becoming a major concern for environmental protection. Along with the environmental effects depletion of fossil fuels is also affecting the comfortable human life adversely. This motivates us to innovate alternatives to develop the existing electrified transportation system which includes pure Electric vehicles (EV), Hybrid Electric Vehicles (HEV), Solar Powered Electric Vehicles, etc., The effective and efficient electrified transportation system will be the future if and only if there is an existence of a good Battery Management System (BMS). Lithium-ion batteries are the most preferred energy storage devices for the EVs due to their high energy and current density. Proper maintenance and balancing of the Battery system is a key factory to have effective EV. So this paper deals with the simulation and design of the prototype model of the Optimized Lithium-ion battery balancing and managing system for Electric Vehicle which gives efficient, safe charging and discharging the lithium-ion battery in a closed-loop control by the selection of input source to charge the battery of EV.

How To Cite

"Optimization of Electric Vehicle Battery Storage by Hybrid Energy System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.516 - 522, September-2020, Available :https://ijsdr.org/papers/IJSDR2009087.pdf

Issue

Volume 5 Issue 9, September-2020

Pages : 516 - 522

Other Publication Details

Paper Reg. ID: IJSDR_192528

Published Paper Id: IJSDR2009087

Downloads: 000347211

Research Area: Engineering

Country: Gadag, Karanataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2009087

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2009087

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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