IFP International Conference – Advances in Hybrid Powertrains
Open Access
Oil Gas Sci. Technol. – Rev. IFP
Volume 65, Number 1, January-February 2010
IFP International Conference – Advances in Hybrid Powertrains
Page(s) 67 - 78
DOI https://doi.org/10.2516/ogst/2009056
Published online 25 November 2009
  • Buller S., Thele M., Karden E.De Doncker R.W. (2003) Impedance-based non-linear dynamic battery modelling for automotive applications, J. Power Sources 113, 422-430. [CrossRef] [Google Scholar]
  • Freedom CAR Battery Test Manual for Power-Assist Hybrid Electric Vehicles, DOE/ID-11069, October 2003. [Google Scholar]
  • Johnson V.H. (2002) Battery performance models in ADVISOR, J. Power Sources 110, 2, 321-329. [Google Scholar]
  • Sabatier J., Aoun M., Oustaloup A., Grégoire G., Ragot F.Roy P. (2006) Fractional system identification for lead acid battery state of charge estimation, Signal Process. 86, 2645-2657. [CrossRef] [Google Scholar]
  • Plett G.L. (2004) Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs, Part 2. Modeling and identification, J. Power Sources 134, 262-276. [CrossRef] [Google Scholar]
  • Barsoukov E., Macdonald J.R. (2005) Impedance Spectroscopy, Second Edition, Wiley-Interscience. [Google Scholar]
  • Barsoukov E., Kim J.H., Kim D.H., Hwang K.S., Yoon C.O.Lee H. (2000) Parametric analysis using impedance spectroscopy: relationship between material properties and battery performance, J. New Mat. Electr. Sys. 3, 301-308. [Google Scholar]
  • Itagaki M., Kobari N., Yotsuda S., Watanabe K., Kinoshita S.Ue M. (2004) In situ electrochemical impedance spectroscopy to investigate negative electrode of lithium-ion rechargeable batteries, J. Power Sources 135, 255-261. [CrossRef] [Google Scholar]
  • Bundy K., Karlsson M., Lindbergh G.Lundqvist A. (1998) An electrochemical impedance spectroscopy method for prediction of the state of charge of a nickel-metal hydride battery at open circuit and during discharge, J. Power Sources 72, 118-125. [Google Scholar]
  • Blanke H., Bohlen O., Buller S., De Doncker R.W., Fricke B., Hammouche A., Linzen D., Thele M.Sauer D.U. (2005) Impedance measurements on lead-acid batteries for state-ofcharge, state-of health and cranking capability prognosis in electric and hybrid electric vehicles, J. Power Sources 144, 2, 418-425. [CrossRef] [Google Scholar]
  • Kuhn E., Forgez C., Friedrich G., Macret P. (2005) Comparison between two NiMH battery models. EVS 21, Monaco, April 2005. [Google Scholar]
  • Karden E., Buller S.De Doncker R.W. (2002) A frequencydomain approach to dynamical modelling of electrochemical power sources, Electrochim. Acta 47, 2347-2356. [CrossRef] [Google Scholar]
  • Thele M., Bohlen O., Sauer D.U.Karden E. (2008) Development of a voltage-behaviour model for NiMH batteries using an impedance based modelling concept, J. Power Sources 175, 635-643. [CrossRef] [Google Scholar]
  • Mauracher P.Karden E. (1997) Dynamic modelling of lead/acid batteries using impedance spectroscopy for parameter identification, J. Power Sources 67, 69-84. [CrossRef] [Google Scholar]
  • Takano K., Nozaki K., Saito Y., Negshi A., Kato K.Yamagushi Y. (2000) Simulation study of electrical dynamic characteristics of lithiumion battery, J. Power Sources 90, 214-223. [CrossRef] [Google Scholar]
  • Tenno A., Tenno R., Suntio T. (2004) A Method for Battery Impedance Analysis, J. Electrochem. Soc. 151, 6, A806- A824. [CrossRef] [Google Scholar]
  • Kuhn E., Forgez C., Lagonotte P.Friedrich G. (2006) Modelling Ni-MH battery using Cauer and Foster structures, J. Power Sources 158, 2, 1490-1497. [CrossRef] [Google Scholar]
  • Oustaloup A., Cois O., Le Lay L. (2005) Représentation et identification par modèle non entier, Lavoisier, Paris. [Google Scholar]
  • Diard J.P., Le Gorrec B.Montella C. (1998) EIS study of electrochemical battery discharge on constant load, J. Power Sources 70, 78-84. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.