• DocumentCode
    3348158
  • Title

    A multi-node thermal system model for lithium-ion battery packs

  • Author

    Ying Shi ; Smith, Kandler ; Wood, Eric ; Pesaran, Ahmad

  • Author_Institution
    Nat. Renewable Energy Lab., Golden, CO, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    723
  • Lastpage
    727
  • Abstract
    Temperature is one of the main factors that control the degradation in lithium ion batteries. Accurate knowledge and control of cell temperatures in a pack helps the battery management system to maximize cell utilization and ensure pack safety and service life. In a pack with arrays of cells, a cell´s temperature is not only affected by its own thermal characteristics but also by its neighbors, the cooling system and pack configuration, which increase the noise level and the complexity of cell temperature prediction. This work proposes to model lithium-ion packs´ thermal behavior using a multi-node thermal network model, which predicts the cell temperatures by zones. The model was parametrized and validated using commercial lithium-ion battery packs.
  • Keywords
    battery management systems; secondary cells; temperature control; temperature distribution; thermal management (packaging); battery management system; cell arrays; cell temperature control; lithium-ion battery packs; multinode thermal network model; multinode thermal system model; Atmospheric modeling; Batteries; Computational modeling; Hybrid electric vehicles; Predictive models; Temperature distribution; Temperature measurement; battery pack thermal management; lithium-ion battery; system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7170819
  • Filename
    7170819