• DocumentCode
    3566575
  • Title

    Modelling of temperature dependent impedance in lithium ion polymer batteries and impact analysis on electric vehicles

  • Author

    Moshirvaziri, Andishe ; Liu, Jacky ; Arumugam, Yajneshvar ; Trescases, Olivier

  • fYear
    2014
  • Firstpage
    3149
  • Lastpage
    3155
  • Abstract
    The objective of this work is to demonstrate a temperature-dependent impedance model for high-power lithium-ion polymer cells used in modern Electric Vehicles (EV). The impedance model is combined with a self-heating thermal model for system simulations, in order to predict the impact of different cell types on the overall EV performance, under real-world urban and highway drive-cycles. Measurements show that the internal resistance is almost doubled when the ambient temperature is lowered from 20° C to 5°C. This has a drastic impact on the EV´s ability to satisfy the load current requirements without performance lags, and justifies the importance of the modelling approach. When operating in cold climates, it is observed that the Battery Thermal Management System (BTMS) must strike a balance between EV range and performance, as the stored energy should be optimally distributed between the propulsion and heating systems.
  • Keywords
    battery management systems; battery powered vehicles; secondary cells; thermal management (packaging); BTMS; ambient temperature; battery thermal management system; electric vehicles; heating systems; high-power lithium-ion polymer cells; highway drive-cycles; impact analysis; internal resistance; lithium ion polymer batteries; load current requirements; propulsion systems; self-heating thermal model; system simulations; temperature dependent impedance modelling; Batteries; Current measurement; Heating; Impedance; Motorcycles; System-on-chip; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2014.7048960
  • Filename
    7048960