Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 7835049, 9 pages
https://doi.org/10.1155/2017/7835049
Research Article

Capacity Fast Prediction and Residual Useful Life Estimation of Valve Regulated Lead Acid Battery

1College of Information System and Management, National University of Defense Technology, Changsha 410073, China
2School of Mechanical and Electrical Engineering, Shandong Jianzhu University, Jinan 250000, China

Correspondence should be addressed to Tianyu Liu

Received 14 June 2016; Accepted 27 December 2016; Published 20 February 2017

Academic Editor: Dane Quinn

Copyright © 2017 Qin He 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. W. G. Hurley, Y. S. Wong, and W. H. Wölfle, “Self-equalization of cell voltages to prolong the life of VRLA batteries in standby applications,” IEEE Transactions on Industrial Electronics, vol. 56, no. 6, pp. 2115–2120, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Ken, T. Yuichi, and S. Masashi, “Corrosion of PbCaSn alloy during potential step cycles,” Journal of Power Sources, vol. 175, no. 1, pp. 604–612, 2008. View at Publisher · View at Google Scholar
  3. Q. Huangpeng, Q. Sun, J. Feng, Z. Q. Pan, and D. Wub, “Cycle life prediction for space nickel hydrogen battery based on accelerated EODV multi-phase model,” Journal of the Electrochemical Society, vol. 162, no. 4, pp. A658–A666, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Shahriari and M. Farrokhi, “Online state-of-health estimation of VRLA batteries using state of charge,” IEEE Transactions on Industrial Electronics, vol. 60, no. 1, pp. 191–202, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Einhorn, F. V. Conte, C. Kral, and J. Fleig, “A method for online capacity estimation of lithium ion battery cells using the state of charge and the transferred charge,” IEEE Transactions on Industry Applications, vol. 48, no. 2, pp. 736–741, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. H. L. Wang and S. M. Cui, “Modeling of the characteristics of charge and discharge of lead-acid battery based on test,” Chinese LABAT Man, vol. 42, pp. 38–40, 2005. View at Google Scholar
  7. B. R. Thomas, Linden's Handbook of Batteries, McGraw-Hill, New York, NY, USA, 4th edition, 2010.
  8. R. Rynkiewicz, “Discharge and charge modeling of lead acid batteries,” in Proceedings of the 14th annual Applied Power Electronics Conference and Exposition (APEC '99), pp. 707–710, IEEE, Dallas, Tex, USA, March 1999. View at Scopus
  9. X. Yu and J. Jiang, “Hybrid fault-tolerant flight control system design against partial actuator failures,” IEEE Transactions on Control Systems Technology, vol. 20, no. 4, pp. 871–886, 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. X. Yu and J. Jiang, “A survey of fault-tolerant controllers based on safety-related issues,” Annual Reviews in Control, vol. 39, pp. 46–57, 2015. View at Publisher · View at Google Scholar · View at Scopus
  11. X. Yu, Y. M. Zhang, and Z. X. Liu, “Fault-tolerant flight control design with explicit consideration of reconfiguration transients,” Journal of Guidance, Control, and Dynamics, vol. 39, no. 3, pp. 556–563, 2016. View at Publisher · View at Google Scholar · View at Scopus
  12. D. H. Liu, H. Wang, Y. Peng, W. Xie, and H. T. Liao, “Satellite lithium-ion battery remaining cycle life prediction with novel indirect health indicator extraction,” Energies, vol. 6, no. 8, pp. 3654–3668, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. W. L. Burgess, “Valve Regulated Lead Acid battery float service life estimation using a Kalman filter,” Journal of Power Sources, vol. 191, no. 1, pp. 16–21, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. Y. Liu, B. He, F. Liu, S. Lu, Y. Zhao, and J. Zhao, “Remaining useful life prediction of rolling bearings using PSR, JADE, and extreme learning machine,” Mathematical Problems in Engineering, vol. 2016, Article ID 8623530, 13 pages, 2016. View at Publisher · View at Google Scholar · View at Scopus
  15. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, “A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking,” IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174–188, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. G. Jin, D. E. Matthews, and Z. Zhou, “A Bayesian framework for on-line degradation assessment and residual life prediction of secondary batteries in spacecraft,” Reliability Engineering and System Safety, vol. 113, pp. 7–20, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. D. An, J.-H. Choi, and N. H. Kim, “Prognostics 101: a tutorial for particle filter-based prognostics algorithm using Matlab,” Reliability Engineering and System Safety, vol. 115, pp. 161–169, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. B. Saha, C. C. Quach, and K. Goebel, “Optimizing battery life for electric UAVs using a Bayesian framework,” in Proceedings of the IEEE Aerospace Conference, pp. 1–7, Dayton, Ohio, USA, March 2012. View at Publisher · View at Google Scholar · View at Scopus