IMPLEMENTATION OF A REAL-TIME FUZZY CONTROL SYSTEM FOR ELECTRIC VEHICLE CHARGING STATIONS BASED ON ARDUINO MEGA 2560 MICROCONTROLLER

• Дата: 2024
• Автори: Bosak, An., Bosak, Al.
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: Institute of Renewable Energy National Academy of Sciences of Ukraine 2024
• Теми: electric vehicle fleet; fuzzy logic; state of charge; charging weight coeficient; microcontroller.; парк електромобілів; нечітка логіка; рівень заряду; ваговий індекс заряджання; мікроконтролер.
• Онлайн доступ: https://ve.org.ua/index.php/journal/article/view/427
• Назва журналу: Vidnovluvana energetika

This study focuses on the problem of managing the energy efficiency of the fleet of electric vehicles of a motor transport enterprise operating in a large city, taking into account the requirements of sustainable electromobility and the constraints of the power system. As a tool for information support of the control process, a system of fuzzy control of charging stations of electric vehicles in real time based on a microcon-troller is considered. Planning for charging electric vehicles (EVs) in conditions The power limit of the charg-ing station is carried out using the Coefficient EV charging algorithm. The algorithm involves controlling the charging of electric vehicles by assigning a weight factor (WCC) to each vehicle connected to the charging station. Optimization of the electrical load of the charging station is carried out from the standpoint of min-imizing electricity costs and meeting the demand for charging electric vehicles without going beyond the network limitations. Computer simulation of the charging mode of electric vehicles and the load of the charging station was performed. The results of modeling the charging of electric vehicles using the pro-posed algorithm in the Matlab Simulink environment are compared with the results of modeling using cal-culations on the Arduino Mega 2560 board. The proposed implementation approach on the Atmega 2560 microcontroller provides a reduction in power consumption during peak hours of the power grid, as well as on-demand SOC charging of all connected electric vehicles.