Power supply rails, often simply referred as power rails, for road‐powered electric vehicles (RPEVs) are often segmented like the conventional iron rails. We do not want to turn on the power rail with no running EVs on it and we want to turn on the power rail only for providing wireless power to EVs. There are a few power rail segmentation methods, mainly developed by Chun T. Rim, which will be introduced in this chapter.

    New cross‐segmented power supply rails for RPEVs are explained in this chapter for reducing the construction cost and EMF. The proposed rail consists of two pairs of power cables, core, bidirectional power switches, a transformer, capacitors, and harness. Each rail is connected through a switch box, which can change the current direction of a pair of power cables. Hence, adding the current of the two pairs of power cables results in the activation mode while nullifying the current performs the silence mode. A coupling transformer with two capacitors is introduced to compensate for the variable line inductance of the rail due to the change of current direction. Therefore, multiple rails can be concurrently activated by selective turning the power switches on and off using an inverter. In addition, the EMF for the silence mode is drastically reduced if a twisted pair of power cables and copper nets are used, so that the ICNIRP Guideline 6.25 μT at 20 kHz operating frequency can be met. The proposed cross‐segmented power supply rail was implemented for experiments and verified for practical applications.

    This chapter is based on the paper by S. Choi, J. Huh, S. Lee, and C.T. Rim, “New cross‐segmented power supply rails for road powered electric vehicles,” IEEE Trans. on Power Electronics, vol. 28, no. 12, pp. 5832–5841, December 2013.


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    Titel :

    Power Rail Segmentation and Deployment


    Beteiligte:
    Rim, Chun T. (Autor:in) / Mi, Chris (Autor:in)


    Erscheinungsdatum :

    11.07.2017


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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