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Li-Ion Battery SoC Estimation Using a Bayesian Tracker
Technical Paper
2013-01-1530
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Hybrid, plug-in hybrid, and electric vehicles have enthusiastically embraced rechargeable Li-ion batteries as their primary/supplemental power source of choice. Because the state of charge (SoC) of a battery indicates available remaining energy, the battery management system of these vehicles must estimate the SoC accurately. To estimate the SoC of Li-ion batteries, we derive a normalized state-space model based on Li-ion electrochemistry and apply a Bayesian algorithm. The Bayesian algorithm is obtained by modifying Potter's squareroot filter and named the Potter SoC tracker (PST) in this paper. We test the PST in challenging test cases including high-rate charge/discharge cycles with outlier cell voltage measurements. The simulation results reveal that the PST can estimate the SoC with accuracy above 95% without experiencing divergence.
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Citation
Arasaratnam, I., Ahmed, R., El-Sayed, M., Tjong, J. et al., "Li-Ion Battery SoC Estimation Using a Bayesian Tracker," SAE Technical Paper 2013-01-1530, 2013, https://doi.org/10.4271/2013-01-1530.Also In
References
- Arasaratnam , I. , Haykin , S. , and Hurd , T. Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations IEEE Trans. Signal Processing 58 10 4977 4993 Oct. 2010
- Bard , AJ. , and Faulkner , LR. Electrochemical Methods: Fundamentals and Applications Russian J. Electrochemistry 38 2002
- Bar Shalom , Y. , Li , X. R. and Kirubarajan , T. Estimation with Applications to Tracking and Navigation NY Wiley & Sons 2001
- Blood , Paul J. , and Sotiropoulos , S. An electrochemical technique for state of charge (SOC) probing of positive leadacid battery plates J. power sources 110 1 2002
- Born , GH. Potter Square Root Filter ASEN 5070 Course Handout University of Colorado Boulder http://ccar.colorado.edu/ASEN5070/handouts.htm Sept. 16 2012
- Buchmann , I. Does the Battery Fuel Gauge Lie? Why the Battery State-of-charge cannot be measured accurately http://www.buchmann.ca Sept. 2012
- Domenico , D. , Giovanni , F. , and Stefanopoulou , A. Lithium-ion battery state of charge estimation with a Kalman filter based on an electrochemical model IEEE Int'l Conf. in Control Applications , CCA 2008
- Doyle , M. , Fuller , T. , Newman , J. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell J. Electrochemical Soc. 140 1526 1533 1993
- Freedomcar battery test manual for power-assist hybrid elecric veicles DOE/ID-11069 2003
- Charkhgard , M. , and Farrokhi M. State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF IEEE Trans. Industrial Electronics 57 2010
- Fuller , T. , Doyle , M. , and Newman , J. Simulation and optimization of the dual lithium ion insertion cell J. Electrochemical Soc. 141 1 10 1994
- Grewal , MS. , & Andrews , AP. Kalman Filtering Theory and Practice Using MATLAB Third Wiley & Sons 2008
- Hsieh , GC. , Chen , LR. , and Huang , KS. IEEE Trans. Ind. Electron. 48 585 593 2001
- Huet , F. A review of impedance measurements for determination of state- of-charge or state-of-health of secondary batteries J. Power Sources 70 1 59 69 1998
- Hu , X. , Li , S. , Peng , H. A comparative study of equivalent circuit models for Li-ion batteries J. Power Sources 3921 3932 2011
- Newman , J. , and Tiedemann , W. Porous-electrode theory with battery applications AIChE Journal 21 25 41 1975
- Pattipati , B. , Sankavaram , C. , Pattipati , KR. System Identification and estimation framework for pivotal automotive battery management system charateristics IEEE Trans. Syst. Man Cybern 869 884 2011
- Plett , G. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs J. Power Sources 252 261 2004
- Pop , V. , Bergveld , HJ. , het Veld , JO. , Regtien , PL. , Danilov , D. , & Notten , PL Modeling battery behavior foraccurate state-of-charge indication J. Electrochem. Soc. 2006
- Simon , D. Optimal State Estimation:Kalman, H ∞ , and Nonlinear Approaches Wiley 2006
- Smith , K. and Wang , CY. Solid-state diffusion limitations on pulse operation of a lithium-ion cell for hybrid electric vehicles J. Power Sources 161 628 639 2006
- Tarascon , JM. and Guyomard , D. Li Metal-Free Rechargeable Batteries Based on Li+xMn2O4 Cathodes (0 × 1) and Carbon Anodes J. Electrochemical Society 138 2864 2868 1991
- Verbrugge , MW. , and Koch , BJ. Electrochemical analysis of lithiated graphite anodes J. Electrochem. Soc. 150 2003
- Verbrugge , MW , and Tate , E. Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena J. Power Sources 236 249 2004
- Wang , CY. , Gu , WB. , and Liaw , BY. Micro-Macroscopic Coupled Modeling of Batteries and Fuel Cells Part:I. Model Development J. Electrochemical Society 145 10 1998
- Wei , KX. , and Chen , QY. Battery SOC Estimation based on Multi-model Adaptive Kalman Filter Advanced Materials Research 2211 2215 2012