ZSI Impedance Source Inverter Integrated XFC (Extreme Fast Charging) for Electric Vehicle

This paper explores the application of an Improved Enhanced-Boost Quasi-Z-Source Inverter in AC-connected extreme fast charging (XFC) stations for electric vehicles (EVs), aiming to reduce conversion stages and enhance system efficiency. AC-connected XFCs offer superior reliability compared to DC-connected systems due to better fault tolerance and reduced sensitivity to power fluctuations but traditionally suffer from increased complexity and reduced efficiency due to multiple conversion stages. The proposed inverter addresses this by combining DC-DC and DC-AC conversion into a single stage, simplifying the system, decreasing losses, and improving efficiency. Furthermore, this research investigates the use of Spiking Neural Networks (SNNs) for generating the precise pulse width modulation (PWM) signals required for the Quasi-Z-Source Inverter. SNNs offer potential advantages in terms of dynamic response and adaptability compared to traditional PWM techniques, allowing for optimized inverter control under varying load conditions. By operating at a higher modulation index, the inverter reduces switch stress, making it suitable for high-power applications. Analytical results and simulations demonstrate the inverter's potential, enhanced by SNN-based pulse generation, in advancing next-generation fast charging solutions by simplifying infrastructure and improving charging efficiency, positioning it as a promising technology for the future of electric vehicle charging.