• DocumentCode
    528838
  • Title

    Large-scale battery system modeling and analysis for emerging electric-drive vehicles

  • Author

    Li, Kun ; Wu, Jie ; Jiang, Yifei ; Hassan, Zyad ; Lv, Qin ; Shang, Li ; Maksimovic, Dragan

  • Author_Institution
    Dept. of Electrical, Computer & Energy Engineering, University of Colorado at Boulder, CO 80309
  • fYear
    2010
  • fDate
    18-20 Aug. 2010
  • Firstpage
    277
  • Lastpage
    282
  • Abstract
    Emerging electric-drive vehicles demonstrate the potential for significant reduction of petroleum consumption and greenhouse gas emissions. Existing electric-drive vehicles typically include a battery system consisting of thousands of Lithium-ion battery cells. Therefore, large-scale battery-system modeling and analysis is essential for battery system performance analysis, next-generation battery system design, and transportation electrification. This paper presents a modeling and analysis framework for large-scale Lithium-ion battery systems. The proposed solution models major run-time and long-term battery effects, and uses fast frequency-domain analysis techniques. It enables efficient and accurate characterization of large-scale battery system run-time charge-cycle energy efficiency and long-term cycle life. Our solution is validated against physical measurements using real-world user driving studies.
  • Keywords
    Aging; Analytical models; Batteries; Discharges; Equations; Mathematical model; Temperature measurement; Analysis; Battery system model; Electric-drive vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Low-Power Electronics and Design (ISLPED), 2010 ACM/IEEE International Symposium on
  • Conference_Location
    Austin, TX, USA
  • Print_ISBN
    978-1-4244-8588-8
  • Type

    conf

  • Filename
    5599061