Table of Contents Author Guidelines Submit a Manuscript
Advances in Fuzzy Systems
Volume 2012, Article ID 687652, 11 pages
http://dx.doi.org/10.1155/2012/687652
Research Article

Detection and Elimination of a Potential Fire in Engine and Battery Compartments of Hybrid Electric Vehicles

1Tank Automotive Research, Development and Engineering Center, Warren, MI 48397, USA
2Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA

Received 3 May 2012; Accepted 13 October 2012

Academic Editor: Ashu M. G. Solo

Copyright © 2012 Macam S. Dattathreya 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. M. Ahrens, “U.S. Vehicle fire trends and patterns,” NSFA Report, 2010. View at Google Scholar
  2. NHTSA, “2011 chevrolet volt battery fire incident report regarding NHTSA testing and analysis OF subject vehicle HV battery fires,” NHTSA Investigation Report, 2012. View at Google Scholar
  3. J. Bauouth and A. Kuznetsov, “Automotive and fire safety research,” Fire Safety Library and Data Analysis, pp. 1–97, 2005. View at Google Scholar
  4. J. Moreno, M. E. Ortúzar, and J. W. Dixon, “Energy-management system for a hybrid electric vehicle, using ultracapacitors and neural networks,” IEEE Transactions on Industrial Electronics, vol. 53, no. 2, pp. 614–623, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. L. A. Zadeh, “Is there a need for fuzzy logic?” Information Sciences, vol. 178, no. 13, pp. 2751–2779, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Y. Foo, “A rule-based machine vision system for fire detection in aircraft dry bays and engine compartments,” Knowledge-Based Systems, vol. 9, no. 8, pp. 531–540, 1996. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Y. Foo, “A fuzzy logic approach to fire detection in aircraft dry bays and engine compartments,” IEEE Transactions on Industrial Electronics, vol. 47, no. 5, pp. 1161–1171, 2000. View at Google Scholar · View at Scopus
  8. K. C. Lee and H. H. Lee, “Network-based fire-detection system via controller area network for smart home automation,” IEEE Transactions on Consumer Electronics, vol. 50, no. 4, pp. 1093–1100, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. H. C. Mueller and A. Fischer, “Robust fire detection algorithm for temperature and optical smoke density using fuzzy logic,” in Proceedings of the 29th Annual 1995 International Carnahan Conference on Security Technology, pp. 197–204, October 1995. View at Scopus
  10. J. M. Xiao and X. H. Wang, “A fuzzy neural network approach to fire detection in ships,” in IEEE International conference on Fuzzy Systems, pp. 1459–1461, usa, May 2003. View at Scopus
  11. E. H. Mamdani, “Application of fuzzy logic to approximate reasoning using linguistic synthesis,” IEEE Transactions on Computers, vol. 26, no. 12, pp. 1182–1191, 1977. View at Google Scholar · View at Scopus
  12. C. W. Tao, “A reduction approach for fuzzy rule bases of fuzzy controllers,” IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 32, no. 5, pp. 668–675, 2002. View at Publisher · View at Google Scholar · View at Scopus
  13. Y. Yam, P. Baranyi, and C. T. Yang, “Reduction of fuzzy rule base via singular value decomposition,” IEEE Transactions on Fuzzy Systems, vol. 7, no. 2, pp. 120–132, 1999. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Sugeno and T. Yasukawa, “Fuzzy-logic-based approach to qualitative modeling,” IEEE Transactions on Fuzzy Systems, vol. 1, no. 1, pp. 7–30, 1993. View at Google Scholar · View at Scopus
  15. M. Sugeno, “On stability of fuzzy systems expressed by fuzzy rules with singleton consequents,” IEEE Transactions on Fuzzy Systems, vol. 7, no. 2, pp. 201–224, 1999. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Mizumoto, “Product-sum-gravity method—fuzzy singleton-type reasoning method—simplified fuzzy reasoning method,” in Proceedings of the 5th IEEE International Conference on Fuzzy Systems, vol. 3, pp. 2098–2102, September 1996. View at Scopus
  17. H. Seki and M. Mizumoto, “On the equivalence conditions of fuzzy inference methods-Part 1: basic concept and definition,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 6, pp. 1097–1106, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. T. Meitzler, D. Bryk, E. Sohn et al., “An infrared solution to a national priority NASA ice detection and measurement problem,” in Infrared Technology and Applications XXXIII, vol. 6542 of Proceedings of SPIE, Orlando, Fla, USA, April 2007. View at Publisher · View at Google Scholar · View at Scopus