Performance Investigation Using Co-Simulation Approach of Converters

Electric Power demand and ecological issues are among the most significant issues of concern on today world scenario. Sunlight based electric power generation might be one of the elective answers to defeat power demand and to lessen GHG effect. Nowadays electric vehicles are replacing conventional vehicles because of their environment-friendly operation and less maintenance. Utilizing electric vehicle in urban areas can essentially improve the quality of atmospheric air. The fundamental standard of a solar powered electric vehicle is to utilize power that is put away in a battery to drive the engine and it moves the vehicle in forward or switches course. The DC voltage from the PV board is then booted up utilizing a lift DC-DC converter, and afterward an inverter, where DC control is changed over to AC control and furthermore DC control at last runs the Brushless DC engine which is utilized as the drive engine for the vehicle application. The idea proposed here is to optimize the charging of the battery in the solar-powered vehicle and monitoring the parameters using Ultra high-frequency communication by LabVIEW. Data communication is done using NI MyRio hardware. Here the vehicle is powered by solar energy which uses solar power effectively. It optimizes the charging of the battery in two ways. The first method is tracking the solar light in order to receive the maximum voltage through light sensors. The second method is using a conventional rooftop mounting technique for the solar board has been utilized and mounted on the highest point of the vehicle. The parameters of the vehicle are monitored in a Graphical User Interface. The GUI used here is LabVIEW. Data communication is done using NI MyRio hardware. The point of our venture is to plan and create the co-simulation approach for embedded control of electrical solar system based on NI-LabVIEW and NI-MultiSIM for electric vehicle application.