• DocumentCode
    2614084
  • Title

    A Battery Management System for electric vehicle based on Zigbee and CAN

  • Author

    Wu, Yun ; Liao, Xiaofei ; Chen, Wen ; Chen, Dao

  • Author_Institution
    Col. of Inf. Sci. & Technol, Donghua Univ., Shanghai, China
  • Volume
    5
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    2517
  • Lastpage
    2521
  • Abstract
    In this paper, the wireless sensor networks (WSN) are adopted for electric vehicle BMS (Battery Management System) to observe the battery signals by ZigBee. The BMS is composed of LECU (Local Electrical Control Unit) and BMU (Battery Management Control Unit). This paper develops LECU as ZigBee end device, which is embedded two sensors (temperature sensor and voltage sensor for single cell). The LECU sends measured signals to the BMU, which as a coordinate performs data collection, analyzing and statistic. The BMU with high voltage sensor and hall current sensor, also controls the high voltage output of the battery packs and reports the state of the battery to the electric vehicle by CAN communication. The wireless BMS for electric vehicle is provided with lower power consumption, small volume, high expansion, stylization, etc. The experiments validate the effectiveness of the designed wireless BMS systems.
  • Keywords
    Zigbee; battery management systems; controller area networks; electric vehicles; temperature sensors; wireless sensor networks; CAN; WSN; ZigBee; Zigbee; battery management control unit; battery management system; battery signals; electric vehicle; hall current sensor; local electrical control unit; temperature sensor; voltage sensor; wireless sensor networks; Batteries; Electric vehicles; Temperature measurement; Temperature sensors; Voltage control; Wireless communication; Zigbee; BMS; CAN; ZigBee; electric vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100781
  • Filename
    6100781