Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 624130, 7 pages
http://dx.doi.org/10.1155/2015/624130
Research Article

Geometric-Process-Based Battery Management Optimizing Policy for the Electric Bus

School of Information Science and Engineering, Northeastern University, Shenyang 110819, China

Received 6 May 2015; Revised 5 July 2015; Accepted 16 July 2015

Academic Editor: Xiaosong Hu

Copyright © 2015 Yan Li 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. P. Han, J. Wang, Y. Han, and Y. Li, “Resident Plug-In Electric Vehicle charging modeling and scheduling mechanism in the smart grid,” Mathematical Problems in Engineering, vol. 2014, Article ID 540624, 8 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. K. Rajashekara, “Present status and future trends in electric vehicle propulsion technologies,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 1, no. 1, pp. 3–10, 2013. View at Publisher · View at Google Scholar
  3. Y. Li, J.-K. Wang, P. Han, and Y.-H. Han, “Modeling and analysis on coordinated scheduling of E-bus recharging station participated wind-power generation,” in Proceedings of the 32nd Chinese Control Conference (CCC '13), pp. 8592–8596, Xi'an, China, July 2013. View at Scopus
  4. Q. Dai, T. Cai, S. Duan, and F. Zhao, “Stochastic modeling and forecasting of load demand for electric bus battery-swap station,” IEEE Transactions on Power Delivery, vol. 29, no. 4, pp. 1909–1917, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. P. Elbert, T. Nuesch, A. Ritter, N. Murgovski, and L. Guzzella, “Engine on/off control for the energy management of a serial hybrid electric bus via convex optimization,” IEEE Transactions on Vehicular Technology, vol. 63, no. 8, pp. 3549–3559, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. C. R. Gould, C. M. Bingham, D. A. Stone, and P. Bentley, “New battery model and state-of-health determination through subspace parameter estimation and state-observer techniques,” IEEE Transactions on Vehicular Technology, vol. 58, no. 8, pp. 3905–3916, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. V. Agarwal, K. Uthaichana, R. A. Decarlo, and L. H. Tsoukalas, “Development and validation of a battery model useful for discharging and charging power control and lifetime estimation,” IEEE Transactions on Energy Conversion, vol. 25, no. 3, pp. 821–835, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. Y. Wang and Y. Liu, “Electronic control system design and test of pure electric vehicle battery management system,” in Proceedings of the 2nd International Conference on Mechanic Automation and Control Engineering (MACE '11), pp. 1289–1292, IEEE, Hohhot, China, July 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. H. Y. Li, Y. L. Jia, D. Zhang et al., “Application of electric vehicle battery intelligent monitoring and management system,” in Proceedings of the IEEE Conference and Expo Transportation Electrification Asia-Pacific, pp. 1–5, Beijing, China, 2014.
  10. H. C. Han, H. X. Xu, Z. Q. Yuan, and Y. Shen, “A new SOH prediction model for lithium-ion battery for electric vehicles,” in Proceedings of the 17th International Conference on Electrical Machines and Systems (ICEMS '14), pp. 997–1002, Hangzhou, China, October 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Paul-Henri and H. Vincent, “An adaptive sigma point kalman filter hybridized by support vector machine algorithm for battery SoC and SoH estimation,” in Proceedings of the IEEE 81st Vehicular Technology Conference, pp. 1–7, Glasgow, UK, May 2015. View at Publisher · View at Google Scholar
  12. L.-R. Dung, S.-H. Wu, and H.-F. Yuan, “An SOH estimation system based on time-constant-ratio measurement,” in Proceedings of the IEEE 23rd International Symposium on Industrial Electronics (ISIE '14), pp. 1784–1787, Istanbul, Turkey, June 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. Y. Lam and Y. L. Zhang, “A geometric-process maintenance model for a deteriorating system under a random environment,” IEEE Transactions on Reliability, vol. 52, no. 1, pp. 83–89, 2003. View at Google Scholar
  14. L. Tan, T. Cheng, and B. Guo, “Optimal maintenance strategy for the repairable system consisting of one component based on geometric process,” Systems Engineering, vol. 26, no. 6, pp. 88–92, 2008. View at Google Scholar
  15. J. Jia, D. Wang, and Z. Duan, “Study on the mathematical model under optimal replacement for a deteriorative repairable system,” Mathematics in Practice and Theory, vol. 36, no. 4, pp. 1–4, 2006. View at Google Scholar
  16. Y. Lam, “A geometric process δ-shock maintenance model,” IEEE Transactions on Reliability, vol. 58, no. 2, pp. 389–396, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. G. J. Wang and Y. L. Zhang, “A bivariate optimal replacement policy for a cold standby repairable system with preventive repair,” Applied Mathematics and Computation, vol. 218, no. 7, pp. 3158–3165, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  18. Y. L. Zhang and G. J. Wang, “A geometric process repair model for a series repairable system with k dissimilar components,” Applied Mathematical Modelling, vol. 31, no. 9, pp. 1997–2007, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. L. Zhang and G. J. Wang, “An extended replacement policy for a deteriorating system with multi-failure modes,” Applied Mathematics and Computation, vol. 218, no. 5, pp. 1820–1830, 2011. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  20. G. J. Wang and Y. L. Zhang, “Optimal periodic preventive repair and replacement policy assuming geometric process repair,” IEEE Transactions on Reliability, vol. 55, no. 1, pp. 118–122, 2006. View at Publisher · View at Google Scholar · View at Scopus
  21. Y. L. Zhang, “A geometric-process repair-model with good-as-new preventive repair,” IEEE Transactions on Reliability, vol. 51, no. 2, pp. 223–228, 2002. View at Publisher · View at Google Scholar · View at Scopus
  22. Y. Han, J. Wang, Q. Zhao, and P. Han, “An optimal operating strategy for battery life cycle costs in electric vehicles,” Journal of Applied Mathematics, vol. 2014, Article ID 305905, 6 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus