State-of-Charge Estimation Methods for Li-ion Batteries in Electric Vehicles

DOI

No DOI

Published In

Volume 1, Issue 1 (2021)

Published Online

January-February 2021

Pages

10-15

Article Type

Research Article

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Lately, in view of zero caron release Electric Vehicles (EVs) are considered as a best elective choice for gasoline and diesel based vehicles in automotive industries. Despite the way that, Li-molecule batteries are leaned toward choice for EVsthey have relatively few hindrances like temperature subordinate, slow charging and battery aging which degrade performance and operational viability of EVs. In certifiable vehicles, appraisal of accurate battery Area of Charge (SOC) is considered as most central task to be performed by Battery Management System(BMS) because of the nonlinear battery credits and sporadic operating conditions. The essential objective of this paper is to comprehensively present common methods currently adapted by researchers inestimating battery SOC by taking apart their benefits and hindrances. This investigational so highlights various issues and challenges associated to SOC appraisal with potential proposition toovercome them. All recommended encounters can be changed into advanced BMS with careful SOC evaluation in next-generation EVs. References 1. Rivera-Barrera,Juan,etal.“SoC Estimation for Lithium-Ion Batteries:Review and Future Challenges.” Electronics, vol. 6, no. 4, 2017, p.102. 2. Li, Zhe, et al. “On State-of-Charge Determination for Lithium-Ion Batteries.”Journal of Power Sources,vol.348,2017,pp.281–301. 3. Zheng, Linfeng, et al. “Novel Methods for Estimating Lithium-Ion Battery State of Energy and Maximum Available Energy.”Applied Energy,vol.178,2016,pp.1–8. 4. Bergveld,H.J., Kruijt,W.S., Notten,P.H.,Battery Management System– Design by Modeling,Srpringer,2002. 5. Liu, Guangming, et al. “A Comparative Study of Equivalent Circuit Models and Enhanced Equivalent Circuit Models of Lithium-Ion Batteries with Different Model Structures.” 2014 IEEE Conference and Expot transportation Electrification Asia-Pacific (ITECAsia-Pacific),2014. 6. Hannan, M.a., et al. “A Review of Lithium-Ion Battery State of Charge Estimation and Management System in Electric Vehicle Applications:Challenges and Recommendations.” Renewable and Sustainable Energy Reviews,vol.78,2017,pp.834–854. 7. Haiying Wang, Yang Liu,Hang Fu and Gechen Li., “Estimation of State of Charge of Batteries for Electric Vehicles,”International Journal of Control and Automation”Vol.6,No.2,April,2013. 8. Waag, Wladislaw, and Dirk Uwe Sauer. “Adaptive Estimation of the Electromotive Force of the Lithium-Ion Battery after Current Interruption for an Accurate State-of-Charge and Capacity Determination.” Applied Energy,vol.111,2013,pp.416–427.