INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Prediction of State-of-Charge Consumption in electric vehicles- A SURVEY.
Authors Name:
S.Senthurya
, DR.R.Senthamil selvi
Unique Id:
IJSDR2304236
Published In:
Volume 8 Issue 4, April-2023
Abstract:
The popularity of electric vehicles (EVs) is growing because they can reduce greenhouse gas emissions and minimize reliance on fossil fuels. However, the limited driving range of EVs is still a significant obstacle. Accurately predicting State-of-Charge(SOC) consumption is crucial for optimizing battery usage, increasing battery life, and enhancing overall EV performance. This survey paper aims to analyze the current state of SOC consumption prediction research for EVs. It investigates several factors affecting SOC consumption, including driving behavior, environmental conditions, battery characteristics, and vehicle design. Additionally, the study discusses various approaches for predicting SOC consumption, including empirical, physics-based, machine-learning, and deep-learning models, analyzing their benefits and limitations. Furthermore, the paper summarizes various techniques for estimating SOC consumption in electric vehicles.
Keywords:
Electric vehicles, SOC, deep learning, machine learning
Cite Article:
"Prediction of State-of-Charge Consumption in electric vehicles- A SURVEY.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1483 - 1485, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304236.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR2304236
Registration ID:205386
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1483 - 1485
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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