EV BATTERY EHANCEMENT USING ANN

PORSELVAN P , SANJAY G , DINAKAR SAI P , Malvika K , Vimala S

ELECTRIC VECHILES ,DEEP LEARNING

Electric vechiles play an important role in automotive industry .The Electric vechiles are belived to be the next revolutionary phase .The system will determine the range of the battery usage using the implementation of Deep Learning .The system will learn from the past expriences how to efficiently use the battery. It ensures that the battery is well optimized according to the usage. Here the ANN monitors the thermals of the battery and it dertermines the amount of power is supplied to the engine. With the help of Deep Learning technique the consumption of the battery is reduced and the life time of the battery is increased. with the help of Deep Learning technique the amount of charging discharging cycle decreases .

Published Paper   E-Certificate

"EV BATTERY EHANCEMENT USING ANN", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.669-674, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001106.pdf

Volume 11 Issue 2, February-2024

Pages : 669-674

Paper Reg. ID: TIJER_151038

Published Paper Id: TIJERB001106

Downloads: 000303

Research Area: Science and Technology

Country: Thiruvallur,Chennai, Tamil Nadu, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJERB001106

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJERB001106

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition