Performance Evaluation of Synchronous Buck Converter with MPPT Algorithm for E-Bike Charging Systems

Abstract

In recent years, the number of electric cars has rapidly increased because society has become more aware of the issues related to the depletion of fossil fuels. This causes the demand for energy to power these car batteries to increase as well. Therefore, this research aimed to develop eco-friendly technologies that reduce the cost of electricity by maximizing the power from photovoltaic (PV) panels. The design and implementation of maximum power point tracking (MPPT) for PV panels using an MPPT algorithm with a synchronous buck converter for E-bike battery charge at 48 V were created. A synchronous buck converter was implemented to the perturb and observe (P&O) MPPT algorithm in the charge controller for obtaining the desired and optimal outcomes. Under the control of a P&O algorithm, buck DC-DC converters were used to step down the voltage level as needed. The performance of the tracker has evaluated at various irradiance and temperature levels, principally with load and battery. The effectiveness of the proposed P&O algorithm in solar PV systems is examined. The synchronous buck converter (SBC) and Asynchronous buck converter (ASBC) were compared to show the simulated scenarios. The simulation results revealed that the performance of the proposed system reached its peak, with a maximum value of 97.56 %, when operated under the conditions of 1,000 watts per square meter and 25 degrees Celsius for the SBC.