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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 370424, 14 pages
http://dx.doi.org/10.1155/2015/370424
Research Article

Adaptive Second Order Sliding Mode Control of a Fuel Cell Hybrid System for Electric Vehicle Applications

1Control Science and Engineering, Harbin Institute of Technology, Harbin 150000, China
2Department of Electrical and Computer Engineering, University of Texas, Austin, TX 78712, USA
3College of Engineering, Bohai University, Jinzhou 121013, China

Received 14 June 2014; Accepted 13 July 2014

Academic Editor: Ligang Wu

Copyright © 2015 Jianxing Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Al-Durra, S. Yurkovich, and Y. Guezennec, “Study of nonlinear control schemes for an automotive traction PEM fuel cell system,” International Journal of Hydrogen Energy, vol. 35, no. 20, pp. 11291–11307, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. D. Feroldi, M. Serra, and J. Riera, “Design and analysis of fuel-cell hybrid systems oriented to automotive applications,” IEEE Transactions on Vehicular Technology, vol. 58, no. 9, pp. 4720–4729, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. T. Raminosoa, B. Blunier, D. Fodorean, and A. Miraoui, “Design and optimization of a switched reluctance motor driving a compressor for a PEM fuel-cell system for automotive applications,” IEEE Transactions on Industrial Electronics, vol. 57, no. 9, pp. 2988–2997, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. P. Thounthong, S. Raël, and B. Davat, “Energy management of fuel cell/battery/supercapacitor hybrid power source for vehicle applications,” Journal of Power Sources, vol. 193, no. 1, pp. 376–385, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. T. Kojima, T. Ishizu, T. Horiba, and M. Yoshikawa, “Development of lithium-ion battery for fuel cell hybrid electric vehicle application,” Journal of Power Sources, vol. 189, no. 1, pp. 859–863, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. P. Thounthong, S. Raël, and B. Davat, “Control algorithm of fuel cell and batteries for distributed generation system,” IEEE Transactions on Energy Conversion, vol. 23, no. 1, pp. 148–155, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. J. E. Dawes, N. S. Hanspal, O. A. Family, and A. Turan, “Three-dimensional CFD modelling of PEM fuel cells: an investigation into the effects of water flooding,” Chemical Engineering Science, vol. 64, no. 12, pp. 2781–2794, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. R. J. Talj, D. Hissel, R. Ortega, M. Becherif, and M. Hilairet, “Experimental validation of a PEM fuel-cell reduced-order model and a moto-compressor higher order sliding-mode control,” IEEE Transactions on Industrial Electronics, vol. 57, no. 6, pp. 1906–1913, 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. S. V. Puranik, A. Keyhani, and F. Khorrami, “Neural network modeling of proton exchange membrane fuel cell,” IEEE Transactions on Energy Conversion, vol. 25, no. 2, pp. 474–483, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Yin, G. Wang, and X. Yang, “Robust PLS approach for KPI-related prediction and diagnosis against outliers and missing data,” International Journal of Systems Science, vol. 45, no. 7, pp. 1375–1382, 2014. View at Publisher · View at Google Scholar
  11. S. Yin, G. Wang, and H. R. Karimi, “Data-driven design of robust fault detection system for wind turbines,” Mechatronics, vol. 24, no. 4, pp. 298–306, 2014. View at Publisher · View at Google Scholar
  12. S. Yin, X. Yang, and H. R. Karimi, “Data-driven adaptive observer for fault diagnosis,” Mathematical Problems in Engineering, vol. 2012, Article ID 832836, 21 pages, 2012. View at Publisher · View at Google Scholar · View at MathSciNet
  13. S. Yin, X. Li, H. Gao, and O. Kaynak, “Data-based techniques focused on modern industry: an overview,” IEEE Transactions on Industrial Electronics, 2014. View at Publisher · View at Google Scholar
  14. C. Lin, H. Peng, J. W. Grizzle, and J. Kang, “Power management strategy for a parallel hybrid electric truck,” IEEE Transactions on Control Systems Technology, vol. 11, no. 6, pp. 839–849, 2003. View at Publisher · View at Google Scholar · View at Scopus
  15. B. Geng, J. K. Mills, and D. Sun, “Energy management control of microturbine-powered plug-in hybrid electric vehicles using the telemetry equivalent consumption minimization strategy,” IEEE Transactions on Vehicular Technology, vol. 60, no. 9, pp. 4238–4248, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. B. Geng, J. K. Mills, and D. Sun, “Two-stage energy management control of fuel cell plug-in hybrid electric vehicles considering fuel cell longevity,” IEEE Transactions on Vehicular Technology, vol. 61, no. 2, pp. 498–508, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. M. C. Kisacikoglu, M. Uzunoglu, and M. S. Alam, “Load sharing using fuzzy logic control in a fuel cell/ultracapacitor hybrid vehicle,” International Journal of Hydrogen Energy, vol. 34, no. 3, pp. 1497–1507, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Gao, Z. Jin, and Q. Lu, “Energy management strategy based on fuzzy logic for a fuel cell hybrid bus,” Journal of Power Sources, vol. 185, no. 1, pp. 311–317, 2008. View at Publisher · View at Google Scholar · View at Scopus
  19. Z. Amjadi and S. S. Williamson, “Power-electronics-based solutions for plug-in hybrid electric vehicle energy storage and management systems,” IEEE Transactions on Industrial Electronics, vol. 57, no. 2, pp. 608–616, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. J. Liu, S. Laghrouche, and M. Wack, “Adaptive-gain second-order sliding mode observer design for switching power converters,” Control Engineering Practice, vol. 30, pp. 124–131, 2014. View at Publisher · View at Google Scholar
  21. J. Liu, S. Laghrouche, and M. Wack, “Observer-based higher order sliding mode control of power factor in three-phase AC/DC converter for hybrid electric vehicle applications,” International Journal of Control, vol. 87, no. 6, pp. 1117–1130, 2014. View at Publisher · View at Google Scholar · View at MathSciNet
  22. L. Wang, H. Zhang, and X. Liu, “Sliding mode variable structure I/O feedback linearization design for the speed control of PMSM with load torque observer,” International Journal of Innovative Computing, Information and Control, vol. 9, no. 8, pp. 3485–3496, 2013. View at Google Scholar · View at Scopus
  23. B. Xiao, Q. Hu, and G. Ma, “Adaptive sliding mode backstepping control for attitude tracking of flexible spacecraft under input saturation and singularity,” Proceedings of the Institution of Mechanical Engineers G: Journal of Aerospace Engineering, vol. 224, no. 2, pp. 199–214, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. B. Xiao, Q. Hu, and Y. Zhang, “Adaptive sliding mode fault tolerant attitude tracking control for flexible spacecraft under actuator saturation,” IEEE Transactions on Control Systems Technology, vol. 20, no. 6, pp. 1605–1612, 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. L. Wu, W. X. Zheng, and H. Gao, “Dissipativity-based sliding mode control of switched stochastic systems,” IEEE Transactions on Automatic Control, vol. 58, no. 3, pp. 785–791, 2013. View at Publisher · View at Google Scholar · View at Scopus
  26. L. Wu, X. Su, and P. Shi, “Sliding mode control with bounded L2 gain performance of Markovian jump singular time-delay systems,” Automatica, vol. 48, no. 8, pp. 1929–1933, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  27. L. Wu, P. Shi, and H. Gao, “State estimation and sliding-mode control of Markovian jump singular systems,” IEEE Transactions on Automatic Control, vol. 55, no. 5, pp. 1213–1219, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  28. M. R. Soltanpour, B. Zolfaghari, M. Soltani, and M. H. Khooban, “Fuzzy sliding mode control design for a class of nonlinear systems with structured and unstructured uncertainties,” International Journal of Innovative Computing, Information and Control, vol. 9, no. 7, pp. 2713–2726, 2013. View at Google Scholar · View at Scopus
  29. B. Wang, P. Shi, and H. R. Karimi, “Fuzzy sliding mode control design for a class of disturbed systems,” Journal of the Franklin Institute, vol. 351, no. 7, pp. 3593–3609, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  30. G. Bartolini, A. Ferrara, and E. a. . Usai, “On multi-input chattering-free second-order sliding mode control,” IEEE Transactions on Automatic control, vol. 45, no. 9, pp. 1711–1717, 2000. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  31. Y. Shtessel, M. Taleb, and F. Plestan, “A novel adaptive-gain supertwisting sliding mode controller: methodology and application,” Automatica, vol. 48, no. 5, pp. 759–769, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  32. F. Plestan, Y. Shtessel, V. Brégeault, and A. Poznyak, “New methodologies for adaptive sliding mode control,” International Journal of Control, vol. 83, no. 9, pp. 1907–1919, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  33. V. I. Utkin and A. S. Poznyak, “Adaptive sliding mode control with application to super-twist algorithm: equivalent control method,” Automatica, vol. 49, no. 1, pp. 39–47, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  34. J. Pukrushpan, A. Stefanopoulou, and H. Peng, Control of Fuel Cell Power Systems: Principles, Modeling, Analysis and Feedback Design, Springer, New York, NY, USA, 2004.
  35. S. M. Rakhtala, A. R. Noei, R. Ghaderi, and E. Usai, “Design of finite-time high-order sliding mode state observer: a practical insight to PEM fuel cell system,” Journal of Process Control, vol. 24, no. 1, pp. 203–224, 2014. View at Publisher · View at Google Scholar
  36. J. Larminie, A. Dicks, and M. S. McDonald, Fuel Cell Systems Explained, vol. 2, Wiley, Chichester, UK, 2003.
  37. K. Kordesch and G. Simader, Fuel Cell and Their Applications, Wiley, 2006.
  38. J. C. Amphlett, R. M. Baumert, R. F. Mann, B. A. Peppley, P. R. Roberge, and T. J. Harris, “Performance modeling of the Ballard Mark IV solid polymer electrolyte fuel cell II. Empirical model development,” Journal of the Electrochemical Society, vol. 142, no. 1, pp. 9–15, 1995. View at Publisher · View at Google Scholar · View at Scopus
  39. S.-Y. Choe, J.-W. Ahn, J.-G. Lee, and S.-H. Baek, “Dynamic simulator for a PEM fuel cell system with a PWM DC/DC converter,” IEEE Transactions on Energy Conversion, vol. 23, no. 2, pp. 669–680, 2008. View at Publisher · View at Google Scholar · View at Scopus
  40. A. Vahidi, A. Stefanopoulou, and H. Peng, “Current management in a hybrid fuel cell power system: a model-predictive control approach,” IEEE Transactions on Control Systems Technology, vol. 14, no. 6, pp. 1047–1057, 2006. View at Publisher · View at Google Scholar · View at Scopus
  41. E. A. Müller, A. G. Stefanopoulou, and L. Guzzella, “Optimal power control of hybrid fuel cell systems for an accelerated system warm-up,” IEEE Transactions on Control Systems Technology, vol. 15, no. 2, pp. 290–305, 2007. View at Publisher · View at Google Scholar · View at Scopus
  42. P. Thounthong, S. Raël, and B. Davat, “Test of a PEM fuel cell with low voltage static converter,” Journal of Power Sources, vol. 153, no. 1, pp. 145–150, 2006. View at Publisher · View at Google Scholar · View at Scopus
  43. S. J. Moura, H. K. Fathy, D. S. Callaway, and J. L. Stein, “A stochastic optimal control approach for power management in plug-in hybrid electric vehicles,” IEEE Transactions on Control Systems Technology, vol. 19, no. 3, pp. 545–555, 2011. View at Publisher · View at Google Scholar · View at Scopus
  44. J. T. Pukrushpan, A. G. Stefanopoulou, and H. Peng, “Control of fuel cell breathing,” IEEE Control Systems Magazine, vol. 24, no. 2, pp. 30–46, 2004. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  45. L. M. Fernandez, P. Garcia, C. A. Garcia, J. P. Torreglosa, and F. Jurado, “Comparison of control schemes for a fuel cell hybrid tramway integrating two dc/dc converters,” International Journal of Hydrogen Energy, vol. 35, no. 11, pp. 5731–5744, 2010. View at Publisher · View at Google Scholar · View at Scopus
  46. P. Garcia, L. M. Fernandez, C. A. Garcia, and F. Jurado, “Energy management system of fuel-cell-battery hybrid tramway,” IEEE Transactions on Industrial Electronics, vol. 57, no. 12, pp. 4013–4023, 2010. View at Publisher · View at Google Scholar · View at Scopus
  47. S. Njoya Motapon, L. Dessaint, and K. Al-Haddad, “A comparative study of energy management schemes for a fuel-cell hybrid emergency power system of more-electric aircraft,” IEEE Transactions on Industrial Electronics, vol. 61, no. 3, pp. 1320–1334, 2014. View at Publisher · View at Google Scholar · View at Scopus
  48. P. García, J. P. Torreglosa, L. M. Fernández, and F. Jurado, “Viability study of a FC-battery-SC tramway controlled by equivalent consumption minimization strategy,” International Journal of Hydrogen Energy, vol. 37, no. 11, pp. 9368–9382, 2012. View at Publisher · View at Google Scholar · View at Scopus
  49. K. B. Wipke, M. R. Cuddy, and S. D. Burch, “ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approach,” IEEE Transactions on Vehicular Technology, vol. 48, no. 6, pp. 1751–1761, 1999. View at Publisher · View at Google Scholar · View at Scopus
  50. United States Environmental Protection Agency, “Dynamometer drive schedules,” 2008, http://www.epa.gov/nvfel/testing/dynamometer.htm.