Fuzzy Logic-Based Dual Phase-Shift PWM Strategy for Efficient Bidirectional Wireless Power Transfer in Electric Vehicles

Abstract: Bidirectional Wireless Power Transfer (BWPT) removes the need for physical intervention to facilitate smooth Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) operations; nevertheless, it still has drawbacks, including efficiency issues, power factor management, and low transfer rates. In order to enhance Power Factor Correction (PFC) in BWPT systems, this study suggests a Dual Phase Shift Pulse Width Modulation (DPS-PWM) technique. To improve the dynamic reaction and optimise switching choices in real-time depending on input changes and system behaviour, a Fuzzy Logic Controller (FLC) is also incorporated.
Simulation and experimental setups running at 85 kHz and 3.7 kW are used to assess the suggested intelligent control approach. The BWPT system is modelled and simulated using MATLAB/Simulink, which enables thorough performance study under various operating circumstances. The results show significant gains in Total Harmonic Distortion (THD) and overall system robustness, with a power transfer efficiency of 90.1% in the experiment and 94.4% in the simulation. Fuzzy logic integration has great promise for effective and adaptive control in next-generation BWPT systems for electric cars.