Abstract
Electric vehicles (EVs) are an environmental and energy-efficient choice for commuting. The increased diffusion of EVs implies an increased impact on the electric grid during recharging requests. However, intelligent charge management could alleviate the instantaneous load on the network, mitigating the problems of power peaks. This work presents a simple charging scheme that applies in cases where the charge requests have not been scheduled in advance. The algorithms are built on fuzzy logic and manage the charges based only on the instantaneous energy demand and dwell time of EVs present at a charging station. The algorithms are able to reduce substantially the peak in power demand by modulating the charging profiles, taking into account users’ settings on extra parking time.
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