DOI QR코드

DOI QR Code

Study on the Controller Design Method for Battery Energy Storage System using Linearized Battery Model

선형 배터리 모델을 이용한 에너지 저장장치의 제어기 설계기법에 관한 연구

  • Kim, Il-Song (Dept. of Electrical Engjneering, Korea Nat'l Univ of Transportation)
  • Received : 2014.06.25
  • Accepted : 2014.09.30
  • Published : 2014.12.20

Abstract

A controller design method for a battery-energy storage system using a linearized battery model is presented in this paper. The suggested linear battery model is expressed with open-circuit voltage having three relaxation filters and a linear output equation. A method to obtain on-line resistance and maximum available power is also presented. The battery state of charge information is obtained by Kalman filter, and its performance is verified by FTP75 driving cycles. The controller for power converter is designed and experimented with a 250 V battery pack. The proposed control method is simple and easy to apply to a real system.

Keywords

References

  1. S. Buller, M. Thele, E. Karden, and R. W. D. Doncker, "Impedance-based non-linear dynamic battery modeling for automotive applications," Journal of Power Sources, Vol. 113, pp. 422-430, Jan. 2003. https://doi.org/10.1016/S0378-7753(02)00558-X
  2. Min Chen and G. A. Rincon-Mora, "Accurate electrical battery model capable of predicting runtime and I_V performance," IEEE Transaction on Energy Conversion, Vol. 21, No. 2, pp. 504-511, Jun. 2006. https://doi.org/10.1109/TEC.2006.874229
  3. I. Snihir, W. Rey, and E. Verbitsky, A. B. Ayeb, P. H. L. Notten, "Battery open-circuit voltage estimation by a method of statistical analysis," Journal of Power Sources, Vol. 159, pp. 1484-1487, Sep. 2005
  4. M. Chen and G. A. Rincon-Mora, "Accurate electrical battery model capable of predicting runtime and I-V performance," IEEE Trans. Energy Convers., Vol. 21, No. 2, pp. 504-511, Jun. 2006. https://doi.org/10.1109/TEC.2006.874229
  5. M. Einhorn, F. V. Conte, C. Kral, and J. Fleig, "Comparison, selection, and parameterization of electrical battery models for automotive applications," IEEE Trans. Power Electron., Vol. 28, No. 3, pp. 1429-1437, Mar. 2013. https://doi.org/10.1109/TPEL.2012.2210564
  6. R. Xiong, H. He, F. Sun, and K. Zhao, "Evaluation on state of charge estimation of batteries with adaptive extend edKalman filter by experiment approach," IEEE Trans. Veh. Technol., Vol. 62, No. 1, pp. 108-117, Jan. 2013. https://doi.org/10.1109/TVT.2012.2222684
  7. I. S. Kim, "Nonlinear state of charge estimator for hybrid electric vehicle battery," IEEE Trans. Power Electron., Vol. 23, No. 4, pp. 2027-2034, Jul. 2008. https://doi.org/10.1109/TPEL.2008.924629
  8. G. Plett, "Extended kalman filtering for battery management systems of LiPB-based HEV battery packs Part 2. Modeling and identification," Journal of Power Sources, 134 (2004), pp. 262-276. https://doi.org/10.1016/j.jpowsour.2004.02.032
  9. G. Plett, "High-performance battery-pack power estimation using a dynamic cell model," IEEE Transactions on Vehicular Technology, Vol. 53, No. 5, pp. 1586-1593, Sep. 2004 https://doi.org/10.1109/TVT.2004.832408
  10. J. M. Kim, "Three-phase power equalizing system with UPS function based on battery storage," Trans. KIPE, Vol. 17, No. 4, pp.353-358, Aug. 2012. https://doi.org/10.6113/TKPE.2012.17.4.353

Cited by

  1. Development of Battery Simulator for Performance Verification of MW-class PCS vol.21, pp.2, 2016, https://doi.org/10.6113/TKPE.2016.21.2.160