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Mathematical Problems in Engineering
Volume 2016, Article ID 9798406, 8 pages
http://dx.doi.org/10.1155/2016/9798406
Research Article

Geometric Process-Based Maintenance and Optimization Strategy for the Energy Storage Batteries

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

Received 1 February 2016; Accepted 2 March 2016

Academic Editor: Jurgita Antucheviciene

Copyright © 2016 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. D. Tran and A. M. Khambadkone, “Energy management for lifetime extension of energy storage system in micro-grid applications,” IEEE Transactions on Smart Grid, vol. 4, no. 3, pp. 1289–1296, 2013. View at Publisher · View at Google Scholar · View at Scopus
  3. B. Liu, F. Zhuo, Y. Zhu, and H. Yi, “System operation and energy management of a renewable energy-based DC micro-grid for high penetration depth application,” IEEE Transactions on Smart Grid, vol. 6, no. 3, pp. 1147–1155, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. 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
  5. H. Peng, W. Jinkuan, S. Xin, and L. Yan, “Geometric-process-based battery management modeling and optimization in the electric vehicle battery switching station,” in Proceedings of the 11th International Conference on Natural Computation, pp. 897–901, IEEE, Zhangjiajie, China, August 2015. View at Publisher · View at Google Scholar
  6. P. Munoz-Condes, M. Gomez-Parra, C. Sancho et al., “On condition maintenance based on the impedance measurement for traction batteries: development and industrial implementation,” IEEE Transactions on Industrial Electronics, vol. 60, no. 7, pp. 2750–2759, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. N. K. Ure, G. Chowdhary, T. Toksoz, J. P. How, M. A. Vavrina, and J. Vian, “An automated battery management system to enable persistent missions with multiple aerial vehicles,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 1, pp. 275–286, 2015. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Li, D. Pan, and C. L. P. Chen, “Intelligent prognostics for battery health monitoring using the mean entropy and relevance vector machine,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 44, no. 7, pp. 851–862, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. G. Ablay, “Online condition monitoring of battery systems with a nonlinear estimator,” IEEE Transactions on Energy Conversion, vol. 29, no. 1, pp. 232–239, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. B. Zhao, X. Zhang, J. Chen, C. Wang, and L. Guo, “Operation optimization of standalone microgrids considering lifetime characteristics of battery energy storage system,” IEEE Transactions on Sustainable Energy, vol. 4, no. 4, pp. 934–943, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. L. Liao and F. Köttig, “Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction,” IEEE Transactions on Reliability, vol. 63, no. 1, pp. 191–207, 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. H. Han, H. Xu, Z. 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
  13. 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, Hohhot, China, July 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. 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 Publisher · View at Google Scholar · View at Scopus
  15. 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
  16. 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
  17. 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
  18. A. L. Huang, Q. M. Li, M. Z. Ruan, and D. J. Mao, “Optimal replacement policies for degenerative repairable systems based on delayed geometric process,” Journal of Systems Engineering and Electronics, vol. 33, no. 11, pp. 2449–2452, 2011. View at Publisher · View at Google Scholar
  19. Y. Li, J.-K. Wang, P. Han, and Y.-H. Han, “Geometric-process-based battery management optimizing policy for the electric bus,” Mathematical Problems in Engineering, vol. 2015, Article ID 624130, 7 pages, 2015. View at Publisher · View at Google Scholar