Improving efficiency of maximum power point tracker for vehicles fotovoltaic by using an appropriate algorithm

As a consequence of rapid depletion of fossil fuels and researches on environmental fuels, plenty of studies are in progress about electric cars, yachts and similar vehicles. The photovoltaic systems are predicted as both a support unit and eco-friendly energy source for the electric vehicles.If the surface of the electric vehicles could be covered by photovoltaic cells, it is possible to store considerable amount of energy in the battery system of these vehicles.According to alternations on environmental effects such as load, solar radiation, temperature...etc, the point of the maximum power varies along voltage curve. Maximum Power Point Tracker (MPPT) systems are used under these environmental variations to maximize the amount of power that is supplied by photovoltaic systems. These systems are fundamentally similar however they differ on feedback controls and power tracking algorithms.In this theses, different power tracking algorithms (P&O, IC, OC, SC) were compared each other. These were tested on photovoltaic systems which were driven in a specified cycle. Every algorithm is compared each other algorithm under this specified cycle which simulate moving vehicle. As a consequence of these experimental studies, all algorithms were examined and optimized by their adaptable or constructive components. At the end of the study a novel maximum power point tracking algorithm were created for moving vehicles and its performance was reviewed.