SOC Estimation on PNGV Model and Hybrid Electric Vehicle

Article Preview

Abstract:

Based on PNGV (the Partnership for a New Generation of Vehicles) equivalent battery model, establishing state-space equations, discrediting them and using UKF (Unsvented Kalman Filtering) arithmetic to achieve an exact SOC estimation under the non-linear condition. According to simulation experiment, UKF estimation just has an error rate of less than 6 percent, and has a quite high use value.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 986-987)

Pages:

874-877

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Wang Lifang, Hu Yunfei, Liao Chenglin, Research on SOC estimation of NIMH batteries in hybrid electric vehicles based on improved Thevenin model, Chinese High Technology Letters, , 2008, 18(9), pp.948-952.

Google Scholar

[2] James H A, Alfred T, Barry W J. A battery state of charge indicator for electric wheelchairs [C]/ IEEE Transactions on Industrial Electronics (SO278-0046). USA: IEEE, 1990, (10).

Google Scholar

[3] Yang Yan, Taofen Tang, Electric vehicle PNGV equivalent circuit model and the estimation method of SOC for lithium batteries[J] . journal of system simulation, 2012, 24(12), p.938 – 941.

Google Scholar

[4] Battelle Energy Alliance. Battery Test Manual for Plug-In Hybrid Electric Vehicles, revision 0[M]. USA: US Department of Energy National Laboratory, 2008, (3), pp.22-29.

Google Scholar

[5] Minxin Zheng. Dynamic Model for Characteristics of Li-ion Battery on electric vehicle [C]/ Proceedings of ICIEA 2009. May, 2009, Xi'an, China. New York, USA: IEEE , 2009, pp.2967-2870.

DOI: 10.1109/iciea.2009.5138733

Google Scholar