Congress seeks to reduce petroleum consumption by encouraging the use of electric vehicles and has legislated an Electric and Hybrid Vehicle Demonstration project. In carrying out this mandate, DOE developed a data plan to assess the Demonstration project. The Data Aquisition and Reduction Module (DARM) System was developed by LLNL for use on demonstration electric vehicles to determine reliably and inexpensively quantitative data on their performance. The DARM System consists of an instrumentation unit which is installed in selected demonstration vehicles, a tape reader, and data reduction programs. Once the on-board DARM unit is installed, the vehicle operator needs only to insert and remove cassette tapes at intervals of up to three months. The tapes can be reduced with the specialized reduction programs, entered into a data base, and the data subjected to analysis at a Data Reduction Center. DARM povides data on energy consumption (into and out of the battery), distance and time travelled, and number of stops experiences. A profile of energy consumption and time spent as a function of speed and acceleration allows deduction of driver satisfaction and provides direction to designers for improving electric vehicle performance. (ERA citation 05:036880)


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    System for Acquisition and Reduction of Demonstration Data for Electric Vehicles


    Contributors:

    Publication date :

    1980


    Size :

    116 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    Data Acquisition System for Electric Vehicles - On Road Experimental Results

    Tatakis, E. C. / Safacas, A. N. / Bratis, G. J. | British Library Conference Proceedings | 1998



    System-integrated data acquisition in validation and operation of electric vehicles

    Bause,K. / Munker,F. / Reiss,N. et al. | Automotive engineering | 2016


    System-integrated data acquisition in validation and operation of electric vehicles

    Bause, Katharina / Munker, F. / Reiß, N. et al. | Springer Verlag | 2016