Regenerative drive design for electric vehicles and testing in different driving cycles

In today's conditions, the energy consumed by the transportation sector has reached a significant amount for the sector. The energy source used in internal combustion engines (ICE) is generally fossil fuels. These fuels increase environmental pollution. The efficiency of the engines used in these vehicles is lower than that of electric vehicles (EV). In recent years, EVs stand out in terms of energy efficiency compared to ICEs. However, there are situations where EVs are at a slight disadvantage in terms of range. The range depends on the energy capacity of the battery used in EVs and the availability of a sufficient number of charging stations. Therefore, efficient use of energy and energy recovery are important in terms of range and cost. In EVs, it is mandatory to design and use power electronics-based drivers that enable the vehicle drive engine to operate in generator mode in order to recover the mechanical energy spent on the disc pads during idling (such as when descending a hill), slowing down through braking, and braking to stop. In this thesis study, laboratory modeling of EVs was carried out and a regenerative mode power electronic driver design was carried out, especially in order to test the regenerative operating mode and to verify the developed regenerative model algorithm. In this way, the factors affecting the range increase in EVs were examined. In this test platform; Brushless direct current motor (FDAM), one of the motors commonly used in light EVs, was preferred and a test circuit was designed to test vehicle driving profiles, visualize regeneration information and examine it graphically. has been transferred to the computer environment. As a result of the studies, it has been understood that the regenerative mode increases the range of EVs in all driving cycles.