State-of-charge estimation for lithium-ion batteries under various operating conditions using an equivalent circuit model

Computers and Chemical Engineering

Volumn 41, Issue , 2012, Pages 1-9

  Cho, Sungwoo ^a   Jeong, Hyeonseok ^a   Han, Chonghun ^a   Jin, Shanshan ^b   Lim, Jae Hwan ^b   Oh, Jeonkeun ^b  

^a Seoul National University   (South Korea)

^b SK Innovation   (South Korea)

Author keywords

Equivalent circuit model; Least squares estimator; Lithium ion battery; State of charge

Indexed keywords

BATTERY MODELS; CELL DATA; DRIVING MODE; ELECTROCHEMICAL CELL MODELS; EQUIVALENT CIRCUIT MODEL; ESTIMATION METHODOLOGIES; ESTIMATION METHODS; LEAST-SQUARES ESTIMATOR; LITHIUM-ION BATTERY; MODEL PARAMETERS; OPERATING CONDITION; RECURSIVE ESTIMATORS; SENSOR FAILURE; STATE OF CHARGE; STATE-OF-CHARGE ESTIMATION; SUM SQUARE ERROR;

CIRCUIT THEORY; ELECTROCHEMICAL CELLS; EQUIVALENT CIRCUITS; ESTIMATION; HYBRID VEHICLES; LEAD ACID BATTERIES; LEAST SQUARES APPROXIMATIONS; LITHIUM BATTERIES;

PARAMETER ESTIMATION;

EID: 84860518003     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2012.02.003     Document Type: Article

References (37)

1. Arulampalam M.S., Maskell S., Gordon N., Clapp T. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing 2002, 50:174-188.
2. Bradley T.H., Frank A.A. Design, demonstrations and sustainability impact assessments for plug-in hybrid electric vehicles. Renewable and Sustainable Energy Reviews 2009, 13:115-128.
3. Catti M., Montero-Campillo M. First-principles modelling of lithium iron oxides as battery cathode materials. Journal of Power Sources 2011, 196:3955-3961.
4. Constantinides A., Mostoufi N. Numerical methods for chemical engineers with Matlab applications 1999, Prentice Hall. second ed.
5. Dao T.-S., Vyasarayani C.P., McPhee J. Simplification and order reduction of lithium-ion battery model based on porous-electrode theory. Journal of Power Sources 2012, 198:329-337.
6. Dubarry M., Liaw B.Y. Development of a universal modeling tool for rechargeable lithium batteries. Journal of Power Sources 2007, 174:856-860.
7. Garci{dotless}a R.E., Chiang Y.-M., Carter W.C., Limthongkul P., Bishop C.M. Microstructural modeling and design of rechargeable lithium-ion batteries. Journal of the Electrochemical Society 2005, 152:A255-A263.
8. Gelb A. Applied optimal estimation 1974, MIT Press.
9. Gomez J., Nelson R., Kalu E.E., Weatherspoon M.H., Zheng J.P. Equivalent circuit model parameters of a high-power Li-ion battery: Thermal and state of charge effects. Journal of Power Sources 2011, 196:4826-4831.
10. Han J., Kim D., Sunwoo M. State-of-charge estimation of lead-acid batteries using an adaptive extended Kalman filter. Journal of Power Sources 2009, 188:606-612.
11. Hansen T., Wang C.-J. Support vector based battery state of charge estimator. Journal of Power Sources 2005, 141:351-358.
12. Jin, S., Lim, J. H., Oh, J., Han, C., & Cho, S. (2010). The method for measuring SOC of a battery management system and the apparatus thereof, United States Patent 12,812,184.
13. Jung D.Y., Lee B.H., Kim S.W. Development of battery management system for nickel-metal hydride batteries in electric vehicle application. Journal of Power Sources 2002, 109:1-10.
14. Kim J., Lee S., Cho B.H. Discrimination of Li-ion batteries based on hamming network using discharging-charging voltage pattern recognition for improved state-of-charge estimation. Journal of Power Sources 2011, 196:2227-2240.
15. Kim M., Sohn Y.-J., Lee W.-Y., Kim C.-S. Fuzzy control based engine sizing optimization for a fuel cell/battery hybrid mini-bus. Journal of Power Sources 2008, 178:706-710.
16. Lee S., Kim J., Lee J., Cho B.H. State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge. Journal of Power Sources 2008, 185:1367-1373.
17. Ljung L., Ljung E.J. System identification: Theory for the user 1999, Prentice Hall. second ed.
18. Lukic S.M., Cao J., Bansal R.C., Rodriguez F., Emadi A. Energy storage systems for automotive applications. IEEE Transactions on Industrial Electronics 2008, 55:2267-2558.
19. Martínez-Rosas E., Vasquez-Medrano R., Flores-Tlacuahuac A. Modeling and simulation of lithium-ion batteries. Computers & Chemical Engineering 2011, 35:1937-1948.
20. Methekar R., Ramadesigan V., Pirkle J., Subramanian V. A perturbation approach for consistent initialization of index-1 explicit differential-algebraic equations arising from battery model simulations. Computers & Chemical Engineering 2011, 35:2227-2234.
21. Park H.-S., Kim C.-E., Kim C.-H., Moon G.-W., Lee J.-H. A modularized charge equalization converter for a hybrid electric vehicle lithium-ion battery stack. Journal of Power Electronics 2007, 9:343-352.
22. Plett G.L. Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs. Journal of Power Sources 2006, 161:1369-1384.
23. Robertson D.G., Lee J.H., Rawlings J.B. A moving horizon-based approach for least-squares estimation. AIChE Journal 1996, 42:2209-2224.
24. Santhanagopalan S., White R.E. Online estimation of the state of charge of a lithium ion cell. Journal of Power Sources 2006, 161:1346-1355.
25. Sikha P.G., White R.E., Popov B.N. A mathematical model for a lithium-ion battery/electrochemical capacitor hybrid system. Journal of the Electrochemical Society 2005, 152:A1682-A1693.
26. Singh P., Vinjamuri R., Wang X., Reisner D. Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillators. Journal of Power Sources 2006, 162:829-836.
27. Snihir I., Rey W., Verbitskiy E., Belfadhel-Ayeb A., Notten P. Battery open-circuit voltage estimation by a method of statistical analysis. Journal of Power Sources 2006, 159:1484-1487.
28. Sorenson H. Least-squares estimation: From Gauss to Kalman. IEEE Spectrum 1970, 7:63-68.
29. Subramanian V.R., Boovaragavan V., Ramadesigan V., Arabandi M. Mathematical model reformulation for lithium-ion battery simulations: Galvanostatic boundary conditions. Journal of the Electrochemical Society 2009, 156:A260-A271.
30. Tatur M., Tyrer H., Tomazic D., Thornton M., McDonald J. Tier 2 intermediate useful life and 4000 mile Supplemental Federal Test Procedure (SFTP) exhaust emission results for a NOx adsorber and diesel particle filter equipped light-duty diesel vehicle. SAE 2005 World Congress and Exhibition 2005, 287-303.
31. Verbrugge M., Conell R.S. State of charge estimation for electrical vehicle batteries. Journal of the Electrochemical Society 2002, 149:A45-A53.
32. Verbrugge M., Koch B. Generalized recursive algorithm for adaptive multiparameter regression: Application to lead acid, nickel metal hydride, and lithium-Ion batteries. Journal of the Electrochemical Society 2006, 153:A187-A201.
33. Verbrugge M., Liu P., Soukiazian S. Activated-carbon electric-double-layer capacitors: Electrochemical characterization and adaptive algorithm implementation. Journal of Power Sources 2005, 141:369-385.
34. Verbrugge M., Tate E. Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena. Journal of Power Sources 2004, 126:236-249.
35. Wang J., Cao B., Chen Q. Support vector machine based battery model for electric vehicles. Energy Conversion and Management 2006, 47:858-864.
36. Wang J., Cao B., Chen Q., Wang F. Combined state of charge estimator for electric vehicle battery pack. Control Engineering Practice 2007, 15:1569-1576.
37. Weigert T., Tian Q., Lian K. State-of-charge prediction of batteries and battery-supercapacitor hybrids using artificial neural networks. Journal of Power Sources 2011, 196:4061-4066.