The Transactions of the Korean Institute of Power Electronics (전력전자학회논문지)

The Korean Institute of Power Electronics (전력전자학회)
권호 표지
DOI QR코드

DOI QR Code

Electro-Thermal Model Based-Temperature Estimation Method of Lithium-Ion Battery for Fuel-Cell and Battery Hybrid Railroad Propulsion System

하이브리드 철도차량 시스템의 전기-열 모델 기반 리튬이온 배터리 온도 추정 방안

  • Park, Seongyun (Dept. of Electrical Engineering, Chungnam National University) ;
  • Kim, Jaeyoung (Dept. of Electrical Engineering, Chungnam National University) ;
  • Kim, Jonghoon (Dept. of Electrical Engineering, Chungnam National University) ;
  • Ryu, Joonhyoung (Korea Railroad Research Institute) ;
  • Cho, Inho (Dept. of Electronics Engineering, Korea National University of Transportation)
  • Received : 2021.06.02
  • Accepted : 2021.06.13
  • Published : 2021.10.20
Download PDF
⟨ Previous Next ⟩

Abstract

Eco-friendly hybrid railroad propulsion system with fuel-cell and battery was suggested to reduce carbon dioxide gas and replace retired diesel railroads. Lithium-ion battery with high energy/power density and long lifetime is selected as the energy source at the battery side due to its excellent performance. However, the performance of lithium-ion batteries was affected by temperature, current rate, and operating condition. Temperature is known to be the most influential factor in changing battery parameters. In addition, appropriate thermal management is required to ensure the safe and effective operation of lithium-ion battery. Electro-thermal coupled model with varying parameter depends on temperature, and state-of-charge (SOC) is suggested to estimate battery temperature. The electric-thermal coupled model contains diffusion current using parameter identification by adaptive control algorithm when considering thermal diffusion effect. An experiment under forced convection was conducted using cylindrical cell and 18 parallel-connected battery module to demonstrate the method.

Keywords

Acknowledgement

본 연구는 국토교통부 철도기술연구개발사업의 연구비 지원(21RTRP-B146008-04)에 의해 수행되었습니다.

References

  1. S. B. Shim, S. H. Kwon, Y. J. Lim, and Y. H. Byun, "Understanding climate change over east asia under stabilized 1.5 and 2.0℃ global warming scenarios," Atmosphere, Vol. 29, No. 4, pp. 391-401, 2019. https://doi.org/10.14191/Atmos.2019.29.4.391
  2. K. B. Lee and F. Blaabjerg, "An improved direct torque control for sensorless matrix converter drives with constant switching frequency and torque ripple reduction," IJCAS (International Journal of Control, Automation, and Systems), Vol. 4, No. 1, pp. 113-123, 2006.
  3. P. Cortes, J. Rodriguez, P. Antoniewicz, and M. Kazmierkowski, "Direct power control of an AFE using predictive control," IEEE Transactions on Power Electronics, Vol. 23, No. 5, pp. 2516-2523, Sep. 2008. https://doi.org/10.1109/TPEL.2008.2002065
  4. J. Restrepo, J. M. Aller, J. Viola, A. Bueno, and T. Habetler, "Optimum space vector computation technique for direct power control," IEEE Transactions on Power Electronics, Vol. 24, No. 2, pp. 1637-1645, Jun. 2009. https://doi.org/10.1109/TPEL.2009.2014953
  5. A. Kriston, I. Adanouj, V. Ruiz, and A. Pfrang, "Quantification and simulation of thermal decomposition reactions of Li-ion battery materials by simultaneous thermal analysis coupled with gas analysis," Journal of Power Sources, Vol. 435, 226774, 2019. https://doi.org/10.1016/j.jpowsour.2019.226774
  6. J. Tian, R. Xiong, and W. Shen, "State-of-health estimation based on differential temperature for lithium ion batteries," IEEE Transactions on Power Electronics, Vol. 35, No. 10, 2020.
  7. J. W. Kim, J. W. Oh, and H. S. Lee, "Review on battery thermal management system for electric vehicle," Applied Thermal Engineering, Vol. 149, pp. 192-212, 2019. https://doi.org/10.1016/j.applthermaleng.2018.12.020
  8. J. C. Forman, S. J. Moura, J. L. Stein, and H. K. Fathy, "Genetic identification and fisher identifiability analysis of the Doyle-Fuller-Newman model from experimental cycling of a LiFePo4 cell," Journal of Power Sources, Vol. 210. pp. 263-275, 2012. https://doi.org/10.1016/j.jpowsour.2012.03.009
  9. X. Lin, H. E. Perez, S. Mohan, J. B. Siegel, A. G. Stefanopoulou, Y. Ding, and M. P. Castanier, "A lumped-parameter electro-thermal model for cylindrical batteries," Journal of Power Sources, Vol. 257, pp. 1-11, 2014. https://doi.org/10.1016/j.jpowsour.2014.01.097
  10. I. Arasaratnam, J. Tjongy, R. Ahmed, M. El-Sayed, and S. Habibi, "Adaptive temperature monitoring for battery thermal management," in Proceedings of IEEE Transportation Electrification Conference, pp. 1-6, 2012.
  11. H. He, R. Xiong, X. Zhang, F. Sun, and J. Fan, "State-of-charge estimation of lithium-ion battery using and adaptive extended kalman filter based on an improved thevenin model," IEEE Transactions on Vehicular Technology, Vol. 60, No. 4, 2011.
  12. K. S. Yoo and J. H. Kim, "Thermal behaviour of full-scale battery pack based on comprehensive heat-generation model," Journal of Power Sources, Vol. 433, 226715, 2019. https://doi.org/10.1016/j.jpowsour.2019.226715
  13. S. Y. Park, J. H. Ahn, T. W. Kang, S. B. Park, Y. M. Kim, I. H. Cho, and J. H. Kim, "Review of state-of-the-art battery state estimation technologies for battery management systems of stationary energy storagey systems," Journal of Power Electronics, Vol. 20, pp. 1526-1540, 2020. https://doi.org/10.1007/s43236-020-00122-7
  14. H. Schlichting and K. Gersten, Boundary layer theory, 8th edition, Springer, Berlin, Germany, pp. 3-33, 2000.