• DocumentCode
    1167406
  • Title

    A distributed industrial battery management network

  • Author

    Lim, Darren ; Anbuky, Adnan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Canterbury, Christchurch, New Zealand
  • Volume
    51
  • Issue
    6
  • fYear
    2004
  • Firstpage
    1181
  • Lastpage
    1193
  • Abstract
    This paper discusses a control network organization for industrial battery management. The battery network is logically partitioned into strings containing groups of cells. These groups of cells are managed locally by distributed control nodes that communicate through the local controller area network (CAN). Battery information is communicated to the remote user through TCP/IP. Both CAN and TCP/IP are connected through the gateway database, allowing for transitions from the battery process time and data volume domain into that of the remote user. The system architecture is based on multiple concurrent processes that facilitate necessary battery monitoring and charge management as well as availability of timely interaction with remote users. Autonomy of these processes is encouraged through the distributed data storage organization. Modeling and testing of the proposed architecture reflects the potential capacity for managing battery requirements and network traffic. Scalability of the approach to suit battery network size may also prove useful to serve other similar applications.
  • Keywords
    battery management systems; controller area networks; distributed control; scheduling; transport protocols; CAN; TCP/IP; battery information; battery monitoring; battery process time; data volume domain; distributed control nodes; distributed data storage organization; distributed industrial battery management network; gateway database; local controller area network; network traffic; remote users; system architecture; Battery management systems; Databases; Distributed control; Industrial control; Memory; Remote monitoring; TCPIP; Telecommunication traffic; Testing; Traffic control; 65; Battery management system; CAN; controller area network; extend; network architecture; scheduling analysis; simulation model;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2004.837870
  • Filename
    1360058