Interleaved Boost Converter with Optimized MPPT Approach for Renewable Energy Based Propulsion System of EV

Human civilization is based on transportation, which is essential to social advancement, economic growth, and global connectivity. While fossil fuel vehicles have been the backbone of transportation for over a century, their drawbacks have become increasingly evident in terms of environmental sustainability and public health. Therefore, a sustainable and efficient way of addressing these issues is to include Renewable Energy Sources (RESs), also known as green energy sources or alternative energy sources, into the network architecture. Therefore, this paper proposes a renewable energy - based propulsion system for Electric Vehicles (EVs) using Interleaved Boost Converter (IBC) and an optimized MPPT approach. The Photovoltaic (PV) system provides power that is allowed to IBC, and it works to current sharing between stages, which reduces the thermal stress on individual components, improving reliability. Additionally, by continuously adapting to fluctuations in surroundings, an MPPT based on Whale Optimization Algorithm (WOA) tracks the maximum power point more precisely. After converting the incoming DC power, the 3-phase Voltage Source Inverter (VSI) provides AC to the three-phase source. A Brush Less DC (BLDC) motor is achieved by the power use of a PI controller. The simulation is implemented in MATLAB Simulink. In contrast to WOA techniques, the results indicate that the proposed system offers excellent performance and improves the overall system efficiency.