Hybrid Controller based Bridgeless Landsman Converter for Power Factor Correction in Electric Vehicle Applications
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Abstract
Electric vehicles (EVs) have emerged as a solution to stabilize the transportation sector and promote a greener environment by utilizing efficient fuel. In order to maintain the quality of input power (PQ), the power electronics circuits responsible for regulating voltage during the charging of Battery Energy Storage (BES) must be highly efficient. However, conventional EV battery chargers rely on the AC mains to supply a distorted current, resulting in increased losses and extremely low values for PQ metrics such as input power factor (PF). To address this issue, a hybrid controller based Bridgeless Landsman converter is proposed in this paper for power factor adjustment. The converter utilizes artificial neural network-based proportional integral (ANN-PI) controllers to anticipate and classify reaction times. By connecting the hysteresis controller to a PWM generator, the converter accurately estimates the constant frequency of exchanging and generates precise output. Through MATLAB simulation, it has been determined that implementing this recommended approach maintains a low chromatic effect and enhances overall efficiency in the surroundings.
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