This paper presents the hardware implementation of a new charging algorithm that can reduce the total ac current required for charging a group of electric vehicles (EV). The current consumption of a commercial charging station is large. It is preferable to limit the maximum current demand and to keep he load profile as flat as possible. Previously a new charging algorithm, namely distributive charging coordination, was introduced. The simulation results revealed that the total current consumption could be limited within a preset level without scarifying the desire of short charging time. It is not necessary to redesign a charger for the new system. Instead, conventional pulse-width-modulation dc converter with little modification is applicable. The difference of the total current consumption and current capacity of a charging station, state-of-charge of battery and expected charging time of an EV will be subjected to a fuzzy inference engine of the coordination charger for determining the optimal charging current. However, it is difficult to include certain constraints in the real world to the testing software. Especially the charging algorithm involves a number of EVs and the errors are cumulative. The stability as well as the functionality may be greatly affected. To verify the simulation results and tackle the constraints, the fuzzy controller is developed upon an 8-bit microcontroller and ADDA converters. The practical circuitry is described in detail along with the bench testing results. Hardware experiments are carried to verify the applicability of the algorithm and hence the major variations between simulation and reality will be brought out. The guidelines for developing the hardware circuits for coordination system can also be drawn.


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    Title :

    Hardware implementation of charging coordination for electric vehicles to reduce maximum current demand


    Additional title:

    Einbau eines neuen Algorithmus zur Steuerung des maximalen Strombedarfs von Elektrofahrzeugen


    Contributors:
    Chau, K.T. (author) / Chan, M.S.W. (author) / Chan, C.C. (author) / Wong, Y.S. (author)


    Publication date :

    2002


    Size :

    12 Seiten, 10 Bilder, 2 Tabellen, 4 Quellen


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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