• DocumentCode
    1886068
  • Title

    Database Design in Data Acquisition System for Electric Vehicle´s Driving Motor Test Bench

  • Author

    Song Qiang ; Shi Yuanfang ; Lv Chenguang

  • Author_Institution
    Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    16-17 Jan. 2013
  • Firstpage
    420
  • Lastpage
    422
  • Abstract
    Although widely used in data acquisition system, LabVIEW doesn´t provide direct accesses to database. In this paper, several methods accessing to database indirectly in LabVIEW are presented, and their advantages and disadvantages are discussed. Based on the discussion, the method that using user-developed database toolkit LabSQL is adopted, and the principle communicating with Microsoft Access Database is illustrated. In addition, according to the actual requirements of data acquisition system used for electric vehicle´s driving motor test bench, programs realizing function of add, query and delete operations are designed to manage data automatically. And with the help of this database system, the information management for the experiment of electric vehicle´s driving motor is improved drastically.
  • Keywords
    data acquisition; database management systems; electric machine analysis computing; electric motors; electric vehicles; machine testing; query processing; virtual instrumentation; LabSQL; LabVIEW; Microsoft Access Database; add operations; automatic data management; data acquisition system; database design; delete operations; electric vehicle driving motor test bench; information management; query operations; user-developed database toolkit; Automation; Data acquisition; Data models; Database systems; Electric vehicles; Software; data acquisition; database design; driving motor; electric vehicle; test bench experiment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-5652-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2013.105
  • Filename
    6493756