Table of Contents
ISRN Signal Processing
Volume 2011 (2011), Article ID 120351, 17 pages
http://dx.doi.org/10.5402/2011/120351
Research Article

Estimation Strategies for the Condition Monitoring of a Battery System in a Hybrid Electric Vehicle

Department of Mechanical Engineering, McMaster University, Hamilton, ON, Canada L8S 4L7

Received 4 January 2011; Accepted 6 February 2011

Academic Editors: L.-M. Cheng and F. Piazza

Copyright © 2011 S. A. Gadsden 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. T. L. Churchill, “Battery condition management: an important way to protect a critical asset,” IEEE Aerospace and Electronic Systems Magazine, vol. 15, no. 7, pp. 41–47, 2000. View at Publisher · View at Google Scholar · View at Scopus
  2. F. V. Conte, “Battery and battery management for hybrid electric vehicles: a review,” Elektrotechnik und Informationstechnik, vol. 123, no. 10, pp. 424–431, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. I. S. Kim, “Nonlinear state of charge estimator for hybrid electric vehicle battery,” IEEE Transactions on Power Electronics, vol. 23, no. 4, pp. 2027–2034, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Piccolo, A. Vaccaro, and D. Villacci, “Fuzzy logic based optimal power flow management in parallel hybrid electric vehicles,” Iranian Journal of Electrical and Computer Engineering, vol. 4, no. 2, p. 83, 2005. View at Google Scholar · View at Scopus
  5. X. Li, J. Li, L. Xu, and M. Ouyang, “Power management and economic estimation of fuel cell hybrid vehicle using fuzzy logic,” in Proceedings of the 5th IEEE Vehicle Power and Propulsion Conference (VPPC '09), pp. 1749–1754, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. P. Naderi, M. Mirsalim, M. T. Bathaee, and R. Chini, “Fuzzy controller design for parallel hybrid vehicle analysis using forward simulation,” in Proceedings of the 5th IEEE Vehicle Power and Propulsion Conference (VPPC '09), pp. 234–241, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Montazeri-Gh, A. Poursamad, and B. Ghalichi, “Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles,” Journal of the Franklin Institute, vol. 343, no. 4-5, pp. 420–435, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. L. V. Pérez, G. R. Bossio, D. Moitre, and G. O. García, “Optimization of power management in an hybrid electric vehicle using dynamic programming,” Mathematics and Computers in Simulation, vol. 73, no. 1–4, pp. 244–254, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. B. Sampathnarayanan, L. Serrao, S. Onori, G. Rizzoni, and S. Yurkovich, “Model predictive control as an energy management strategy for hybrid electric vehicles,” in Proceedings of the ASME Dynamic Systems and Control Conference (DSCC '09), pp. 1161–1168, October 2009. View at Scopus
  10. D. F. Opila, X. Wang, R. McGee, J. A. Cook, and J. W. Grizzle, “Fundamental structural limitations of an industrial energy management controller architecture for hybrid vehicles,” in Proceedings of the ASME Dynamic Systems and Control Conference (DSCC '09), pp. 213–221, October 2009. View at Scopus
  11. K. D. Huang, S. C. Tzeng, T. M. Jeng, and C. C. Chen, “Integration mechanism for a parallel hybrid vehicle system,” Applied Energy, vol. 82, no. 2, pp. 133–147, 2005. View at Publisher · View at Google Scholar · View at Scopus
  12. F. Codecà, S. M. Savaresi, and V. Manzoni, “The mix estimation algorithm for battery state-of-charge estimator-analysis of the sensitivity to model errors,” in Proceedings of the ASME Dynamic Systems and Control Conference (DSCC '09), pp. 97–104, October 2009. View at Scopus
  13. B. S. Bhangu, P. Bentley, D. A. Stone, and C. M. Bingham, “Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles,” IEEE Transactions on Vehicular Technology, vol. 54, no. 3, pp. 783–794, 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. V. Marano, S. Onori, Y. Guezennec, G. Rizzoni, and N. Madella, “Lithium-ion batteries life estimation for plug-in hybrid electric vehicles,” in Proceedings of the 5th IEEE Vehicle Power and Propulsion Conference (VPPC '09), pp. 536–543, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. G. L. Plett, “Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs—part 1. Background,” Journal of Power Sources, vol. 134, no. 2, pp. 252–261, 2004. View at Publisher · View at Google Scholar · View at Scopus
  16. G. L. Plett, “Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs—part 2. Modeling and identification,” Journal of Power Sources, vol. 134, no. 2, pp. 262–276, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. G. L. Plett, “Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs—part 3. State and parameter estimation,” Journal of Power Sources, vol. 134, no. 2, pp. 277–292, 2004. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Vasebi, M. Partovibakhsh, and S. M. T. Bathaee, “A novel combined battery model for state-of-charge estimation in lead-acid batteries based on extended Kalman filter for hybrid electric vehicle applications,” Journal of Power Sources, vol. 174, no. 1, pp. 30–40, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. A. Vasebi, S. M. T. Bathaee, and M. Partovibakhsh, “Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter,” Energy Conversion and Management, vol. 49, no. 1, pp. 75–82, 2008. View at Publisher · View at Google Scholar · View at Scopus
  20. G. L. Plett, “Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs—part 1: introduction and state estimation,” Journal of Power Sources, vol. 161, no. 2, pp. 1356–1368, 2006. View at Publisher · View at Google Scholar · View at Scopus
  21. G. L. Plett, “Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packs—part 2: simultaneous state and parameter estimation,” Journal of Power Sources, vol. 161, no. 2, pp. 1369–1384, 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. A. Widodo and B. S. Yang, “Support vector machine in machine condition monitoring and fault diagnosis,” Mechanical Systems and Signal Processing, vol. 21, no. 6, pp. 2560–2574, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. Y. Bar-Shalom, X. Rong Li, and T. Kirubarajan, Estimation with Applications to Tracking and Navigation, John Wiley and Sons, New York, NY, USA, 2001.
  24. N. Nise, Control Systems Engineering, John Wiley and Sons, New York, NY, USA, 4th edition, 2004.
  25. R. E. Kalman, “A new approach to linear filtering and prediction problems,” Transactions of the ASME Journal of Basic Engineering, pp. 35–45, 1960. View at Google Scholar
  26. M. S. Grewal and A. P. Andrews, Kalman Filtering: Theory and Practice Using MATLAB, John Wiley and Sons, New York, NY, USA, 3rd edition, 2008.
  27. S. Habibi, R. Burton, and Y. Chinniah, “Estimation using a new variable structure filter,” in Proceedings of the American Control Conference, pp. 2937–2942, May 2002. View at Scopus
  28. P. Del Moral, “Measure-valued processes and interacting particle systems. Application to nonlinear filtering problems 1,” Annals of Applied Probability, vol. 8, no. 2, pp. 438–495, 1998. View at Google Scholar · View at Scopus
  29. N. J. Gordon, D. J. Salmond, and A. F. M. Smith, “Novel approach to nonlinear/non-gaussian Bayesian state estimation,” IEE Proceedings. Part F, vol. 140, no. 2, pp. 107–113, 1993. View at Google Scholar · View at Scopus
  30. J. MacCormick and A. Blake, “Probabilistic exclusion principle for tracking multiple objects,” in Proceedings of the 1999 7th IEEE International Conference on Computer Vision (ICCV'99), pp. 572–578, September 1999. View at Scopus
  31. K. Kanazawa, D. Koller, and S. J. Russell, “Stochastic simulation algorithms for dynamic probabilistic networks,” in Proceedings of the 11th Annual Conference on Uncertainty in Artificial Intelligence, pp. 346–351, 1995.
  32. B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications, Artech House, Boston, Mass, USA, 2004.
  33. I. Arasaratnam, S. Haykin, and R. J. Elliott, “Discrete-time nonlinear filtering algorithms using gauss-hermite quadrature,” Proceedings of the IEEE, vol. 95, no. 5, pp. 953–977, 2007. View at Publisher · View at Google Scholar · View at Scopus
  34. I. Arasaratnam and S. Haykin, “Square-root quadrature Kalman filtering,” IEEE Transactions on Signal Processing, vol. 56, no. 6, pp. 2589–2593, 2008. View at Publisher · View at Google Scholar · View at Scopus
  35. S. R. Habibi and R. Burton, “The variable structure filter,” Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, vol. 125, no. 3, pp. 287–293, 2003. View at Publisher · View at Google Scholar · View at Scopus
  36. S. Habibi, “The smooth variable structure filter,” Proceedings of the IEEE, vol. 95, no. 5, pp. 1026–1059, 2007. View at Publisher · View at Google Scholar · View at Scopus
  37. T. Okoshi, K. Yamada, T. Hirasawa, and A. Emori, “Battery condition monitoring (BCM) technologies about lead-acid batteries,” Journal of Power Sources, vol. 158, no. 2, pp. 874–878, 2006. View at Publisher · View at Google Scholar · View at Scopus
  38. J. Voelcker, “Lithium batteries take to the road,” IEEE Spectrum, vol. 44, no. 9, pp. 26–31, 2007. View at Publisher · View at Google Scholar · View at Scopus
  39. ADVISOR 2004 User's Guide, Advanced Vehicle Labs, 2004.
  40. T. Markel, A. Brooker, T. Hendricks et al., “ADVISOR: a systems analysis tool for advanced vehicle modeling,” Journal of Power Sources, vol. 110, no. 2, pp. 255–266, 2002. View at Publisher · View at Google Scholar · View at Scopus
  41. V. H. Johnson, “Battery performance models in ADVISOR,” Journal of Power Sources, vol. 110, no. 1, pp. 321–329, 2002. View at Google Scholar · View at Scopus
  42. V. H. Johnson, M. Zolot, and A. Pesaran, “Development and validation of a temperature-dependent resistance/capacitance battery model for ADVISOR,” in Proceedings of the 18th Electric Vehicle Symposium, Berlin, Germany, 2001.
  43. HEV Implementing Agreement, International Energy Agency, 2008.