State-of-Charge estimation for power Li-ion battery pack using V min-EKF

2nd International Conference on Software Engineering and Data Mining, SEDM 2010

Volumn , Issue , 2010, Pages 27-31

  Liu, Xintian ^a   He, Yao ^a   Chen, Zonghai ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

EKF; Power Li ion battery pack; State of charge; Vmin model

Indexed keywords

ACCURATE ESTIMATION; BATTERY PACK; DRIVING CONDITIONS; EKF; ELECTRICAL VEHICLES; LI-ION BATTERIES; LOAD VOLTAGES; MODEL STATE; MULTICELL; POWER BATTERIES; REAL-TIME ESTIMATION; RECURSIVE ESTIMATION; SINGLE-CELL MODELS; STATE OF CHARGE; STATE SPACE MODEL; STATE-OF-CHARGE ESTIMATION; VMIN MODEL;

DATA MINING; FILTRATION; IONS; SOFTWARE ENGINEERING; STATE SPACE METHODS;

ESTIMATION;

EID: 77956515610     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. M. Urbain, S. Rael, B. Davat and P. Desprez, "State estimation of a Lithium-Ion battery through Kalman filter," PESC 2007, Orlando, pp. 2804-2810, 2007.
2. Y. L. Ma, Q. S. Chen, and Z. N. Qi, "Research on the SOC definition and measurement method of batteries used in EVs," Journal of Tsinghua university, no. 11,pp. 95-97+105, 2001.
3. C. T. Lin, J. P. Wang, and Q. S. Chen, "Methods for state of charge estimation of EV batteries and their application," Battery Bimonthly, no. 5, pp. 376-378, 2004.
4. C. B. Zhu, M. Coleman, and W. G. Hurley, "State of charge determination in a lead-acid battery: combined EMF estimation and Ah-balance approach," PESC'2004, Aachen, vol.3, pp. 1908-1914, 2004.
5. K. S. Ng, C. S. Moo, Y. P. Chen and Y. C. Hsieh, "Enhanced coulomb counting method for estimating state-of-charge and state-of-health of Lithium-Ion batteries," Applied Energy, vol.86, no. 9, pp. 1506-1511, 2009.
6. B. Cheng, Y. L. Zhou, J. X. Zhang, J. P. Wang and B. G. Cao, "SOC prediction based on evolutionary network," ICAL'2009, Shenyang, pp. 880-884, 2009.
7. I. H. Li, W. Y. Wang, S. F. Su and Y. S. Lee, "A merged fuzzy neural network and its applications in battery state-of-charge estimation," Energy Conversion, IEEE Transactions on, vol. 22, no. 3, pp. 697-708, 2007.
8. C. Y. Xia, S. Zhang and H. T. Sun, "A strategy of estimating state of charge based on extended Kalman filter," Chinese Journal of Power Sources, no. 5, pp. 414-417, 2007.
9. 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.
10. 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," Vehicular Technology, IEEE Transactions on, vol. 54, no. 3, pp. 783-794, 2005. (Pubitemid 40889755)
11. S. Lee, J. Kim, J. Lee and B. H. Cho, "State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge," Journal of Power Sources, vol. 185, no. 2, pp. 1367-1373, 2008.
12. J. Wang, B. Cao, Q. Chen et al., "Combined state of charge estimator for electric vehicle battery pack," Control Engineering Practice, vol. 15, no. 12, pp. 1569-1576,2007. (Pubitemid 47488046)
13. 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.
14. QC/T743-2006, Lithium-ion Batteries for Electric Road Vehicles.