• DocumentCode
    3316399
  • Title

    Comparison of reduced order lithium-ion battery models for control applications

  • Author

    Speltino, C. ; Domenico, D. Di ; Fiengo, G. ; Stefanopoulou, A.

  • Author_Institution
    Dipt. di Ing., Univ. degli Studi del Sannio, Benevento, Italy
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    3276
  • Lastpage
    3281
  • Abstract
    Lithium-ion batteries are the core of new plug-in hybrid-electrical vehicles (PHEV) as well as considered in many 2nd generation hybrid electric vehicles (HEV). In most cases the lithium-ion battery performances play an important role in the vehicle energy management. As consequence, battery modeling is one of the most important tasks for hybrid and electrical vehicles control. Full order electrochemical models have to be simplified in order to make them compatible with estimation algorithms embedded in a real-time on-board electronic control unit. The battery model simplification has to be carried out accurately in order to achieve maximum computational cost reduction while ensuring the best model performance and reaching an efficient system management. In this paper two different reduced order models, based on the electrochemical laws, are compared both with simulation results and with experimental data collected from a 10 Ah lithium-ion battery. The reduced order models characteristics are analyzed and compared in relation to the specific control objective.
  • Keywords
    electrochemical electrodes; lithium; reduced order systems; secondary cells; Li; battery model simplification; electrochemical law; full order electrochemical model; lithium-ion battery model; maximum computational cost reduction; plug-in hybrid-electrical vehicle; reduced order model; vehicle energy management; Anodes; Battery management systems; Battery powered vehicles; Cathodes; Circuits; Current density; Hybrid electric vehicles; Reduced order systems; Solids; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400816
  • Filename
    5400816