State of Charge Estimation of Lithium Ion Battery in Kalman Filter from Real Data

Prof. Shaikh S.A , Dighe Sanket V

SOC,Battry

Battery is an important energy component in the Hybrid electrical vehicles. Wrong estimation of SOC brings the battery Overcharge or discharge. Other methods are not correct and hence high deviation occurs between the estimated and real SOC .The real time SOC is important to know the remaining battery capacity state. To estimate SOC of the battery it is necessary to design BMS. This paper discusses the SOC of battery and Kalman filter methods for SOC estimation using real time data.

Published Paper   E-Certificate

"State of Charge Estimation of Lithium Ion Battery in Kalman Filter from Real Data", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 10, page no.141 - 144, October-2018, Available :https://ijsdr.org/papers/IJSDR1810022.pdf

Volume 3 Issue 10, October-2018

Pages : 141 - 144

Paper Reg. ID: IJSDR_180705

Published Paper Id: IJSDR1810022

Downloads: 000347038

Research Area: Engineering

Country: City-Loni,District-A.Nagar, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1810022

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1810022

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

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