Real Time Estimation of SOC and SOH of Batteries

venkatesh prasad, B.P. divakar

Abstract


This paper presents the hybrid technique to estimate the State of Charge (SoC) and State of Health (SoH) of a battery in real time. The technique described in this paper employs: (1) Coulomb Counting Method, (2) Electrical Circuit Model and (3) Mathematical model based on Peukert Law to estimate these parameters. The paper presents the method of estimating the internal resistance of the battery to determine the open circuit voltage so as to estimate the SoC and SoH. The proposed technique is simulated using Simulink/MATLAB and results were validated experimentally.

Keywords


State-of-Charge; State-of-Health; Battery; Discharging Current

Full Text:

PDF

References


Farshid Naseri, Ebrahim Farjah,Teymoor Ghanbari, “ An Efficient Regenerative Braking System Based on Battery/Supercapacitor for Electric, Hybrid and Plug-In Hybrid Electric Vehicles with BLDC Motorâ€, 0018-9545 © 2016 IEEE.

Shuai Lu, Keith A. Corzine, and Mehdi Ferdowsi, “High Efficiency Energy Storage System Design for Hybrid Electric Vehicle with Motor Drive Integrationâ€, 1-4244-0365-0/06/$20.00 ©2006 IEEE.

Yukihiro Tanaka, YukinoriTsuruta, Takahiro Nozaki, and Atsuo Kawamura, “ Proposal of Ultra High Efficient Energy Conversion System (HEECS) for Electric Vehicle Power Trainâ€, 978-1-4799-3633-5/15/$31.00©2015 IEEE.

Wen-Yeau Chang, “The State of Charge Estimating Methods for Battery: A Reviewâ€, Hindwai Publishing Corporation, ISRN Applied Mathematics, Volume 2013, Article ID 953792, 7 pages.

John Cannarella, Craig B. Arnold, “State of health and charge measurements in lithium-ion batteries using mechanical stressâ€, Journal of Power Sources 269 (2014) 7-14.

Xidong Tang, Xiaofeng Mao, Jian Lin, and Brian Koch, “Li-ion Battery Parameter Estimation for State of Chargeâ€, 2011 American Control Conference on O'Farrell Street, San Francisco, CA, USA June 29 - July 01, 2011.

S.M.Mousavi G. and M Nikdel, “Various Battery models for various simulation studies and applicationsâ€, Renewable and Sustainable Energy Reviews 32 (2014) 477-485.

Liuis Farre, LIuis Closas, and Pau Casals, “ Design of a Simpler Ampere-Hourmeterâ€, International Journal of Energy Science (IJES) Volume 3 Issue 2, April 2013.

Guoliang Wu, Rengui Lu, Chunbo Zhu and C.C. Chan, “ Apply a Piecewise Peukert Equation with Temperature Correction Factor to NIMH Battery State of Charge Estimationâ€, Journal of Asian Electric Vehicles, Volume 8, Number 2, December 2010.

Noshin Omar, Peter Van den Bossche, Thierry Coosemans and Joeri Van Mierlo, “Peukert Revisited—Critical Appraisal and Need for Modification for Lithium-Ion Batteriesâ€, Energies 2013, 6, 5625-5641; doi: 10.3390 /en6115625.

Zhiwei He, Mingyu Gao , Caisheng Wang , Leyi Wang and Yuanyuan Liu, “Adaptive State of Charge Estimation for Li-Ion Batteries Based on an Unscented Kalman Filter with an Enhanced Battery Model Energies 2013, 6, 4134-4151; doi:10.3390/en6084134, ISSN 1996-1073.

A. Lohner, E. Karden, R. W. DeDoncker,. “Charge equalizing and lifetime increasing with a new charging method for VRLA batteriesâ€, In Proc. IEEE Int. l. Telecommunications Energy Conf., 1997, pp. 407-411.

Olivier Tremblay and Louis-A.Dessaint, “Experimental Validation of a Battery Dynamic Model for EV Applicationsâ€, World Electric Vehicle Journal Vol 3 –ISSn 2032-6653-© 2009.

Yee Wan Wong, et al, “A New State of Charge Estimation Method for Valve regulated Lead Acid

Batteriesâ€, Journal of EngineeringScience and Technology Vol,XX, No Y (Year) PPP-QQQ.

Martin Coleman, Chi Kwan Lee, Chunbo Zhu and William Gerard Hurley, “State of charge; “State of Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead Acid and Lithium Ion Batteriesâ€, IEEE Transactions on Industrial Electronics Vol 54, No 5 October 2007.

Taesic Kim, Wei Qiao and Liyan Qu, “ Online State of Charge and Electrical Impedance Estimation for Multicell Lithium-ion Batteriesâ€, Transportation Electrification conference and Expo (ITEC), 2013 IEEE Year 2013. Pages 1-6 DOI: 10.1109/ITEC. 2013. 6574523.

Martin Coleman, Williuam Gerard Hurley, “ An Improved Battery Characterization Method Using a Two-Pulse Load Testâ€, IEEE Transactions on Energy Conversion Vol23 No.2 June 2008.

C. Pascual, P. T. Krein, “Switched capacitor system for automatic series battery equalizationâ€, in Proc.IEEE Applied Power Electronics Conf.,1997,pp. 848-854.

Kutkut, N. H., Divan, D. M., and Novotny, D. W., “Charge equalizahon for series connected battery stringsâ€, In Proceedings of the IEEE IAS Annual Meeting, Oct. 1994, pp. 1008-10 15.

J. B. Olson, E. D. Sexton, “Operation of lead-acid batteries for HEV applicationsâ€, in Proc. IEEE Ann. Battery Conf. Appl. Advances, 2000, pp. 205-210.

A. Hande, A selective boost equalizer for NiMH batteries, Masters Thesis, The University of Toledo, May 2000.

Kong Soon Ng, Chin-Sien Moo Yi-Ping Chen and Yao-Ching Hsieh, “ Enhanced Coulomb counting method for estimating state –of- charge and state-of-health of lithium-ion batteriesâ€, Applied Energy 86 (2009) 1506-1511.

Wei He, Nicholas Williard, Chaochao Chen, Michael Pecht “State of charge estimation for electric vehicle batteries using unscented kalman filtering†Microelectronics Reliability xxx (2013) xxx–xxx

Jong Hoon Kim, Seong Jun Lee, Jae Moon Lee, Bo Hyung Cho, “ A New Direct Current Internal Resistance and State of Charge Relationship for the Li-Ion Battery Pulse Power Estimationâ€, The 7th International Conference on Power Electronics October 22-26, 2007 / EXCO, Daegu, Korea.

Abijith.V and Narendranath.S, “Internal Resistance based State of Charge Estimation for Lead acid and Lithium ion Batteries-A Simulink Approachâ€, International Journal of Engineering Sciences Research-IJESR, Vol 04, Article 06264;June 2013.

Jin, Feng, and He Yong-ling. "State-Of-Charge Estimation of Li-Ion Battery Using Extended Kalman Filter." Indonesian Journal of Electrical Engineering and Computer Science 11.12 (2013): 7707-7714.

Wu, Tiezhou, et al. "Research on SOC estimation based on second-order RC model." Indonesian Journal of Electrical Engineering and Computer Science 10.7 (2012): 1667-1672.




DOI (PDF): https://doi.org/10.20508/ijrer.v8i1.6536.g7279

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4