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Every EV (Electric Vehicle) comes with limited energy storing capability. After travelling a certain distance, a charging facility is required to recharge the EV batteries, which is easy to be made available in cities. But, in remote locations, charging s ervice is challenging. Therefore, big countries like USA, Canada, China, Russia, India, Australia, and few Arabian countries are planning to provide pillar top solar panels on remote locations for EV charging in emergency situations. To operate in this sit uation, a special charging adapter is required to extract maximum power from the panel using the MPPT (Maximum Power Point Tracking) technique, monitor the charging current, and safely complete the charging process. In this paper, a single sensor based eco nomical charging adapter is presented for EVs to fulfil this objective. Moreover, the Single Input Fuzzy Logic tuned Deterministic Optimization (SIFL DO) algorithm is proposed to accomplish MPPT operation and battery charging management. Because of its low cost and fast response, the single current sensor based charging adapter is highly economical. Additionally, the SIFL DO algorithm has very good condition estimation and decision making capability, which accurately performs MPPT and charging management. I n this work, the capability of the developed adapter with the SIFL DO algorithm is evaluated on Hardware prototype. Also, comparative studies are performed w.r.t. state of the art techniques. Further to determine the industry’s suitability, the developed t echnique is tested on European Standard EN50530.
Kumar et al. (Sun,) studied this question.
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