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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	State of Charge Estimation of Lithium Ion Battery in Kalman Filter from Real Data
Authors Name:	Prof. Shaikh S.A , Dighe Sanket V
Unique Id:	IJSDR1810022
Published In:	Volume 3 Issue 10, October-2018
Abstract:	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.
Keywords:	SOC,Battry
Cite Article:	"State of Charge Estimation of Lithium Ion Battery in Kalman Filter from Real Data", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 10, page no.141 - 144, October-2018, Available :http://www.ijsdr.org/papers/IJSDR1810022.pdf
Downloads:	000337071
Publication Details:	Published Paper ID: IJSDR1810022 Registration ID:180705 Published In: Volume 3 Issue 10, October-2018 DOI (Digital Object Identifier): Page No: 141 - 144 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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