Hybrid MPPT-Based Super-Boost Dc–Dc Converter for Solar and Battery Powered Electric Vehicles

ABSTRACT: Electric vehicles (EVs) powered by solar and battery energy sources require efficient power management to ensure optimal performance and extended range. This paper presents a Hybrid Maximum Power Point Tracking (MPPT)-based Super-Boost DC–DC Converter for EV applications integrating solar photovoltaic (PV) and battery energy storage. The proposed system enhances energy harvesting from the PV array while ensuring stable power delivery to the EV drivetrain. The hybrid MPPT algorithm combines Perturb and Observe (P&O) Algorithem to maximize power extraction under varying environmental conditions. The Super- Boost DC–DC Converter is designed to achieve high voltage gain while maintaining high efficiency, making it suitable for interfacing the low-voltage PV system with the high-voltage EV powertrain. The converter topology ensures low current ripple, reduced switching losses, and improved power density, leading to enhanced overall system efficiency. The proposed system is simulated in MATLAB/Simulink, where its performance is analyzed in terms of voltage gain, efficiency, transient response, and MPPT accuracy under dynamic loading conditions. Comparative analysis with conventional MPPT methods and boost converters demonstrates the superiority of the proposed hybrid MPPT strategy and converter topology in terms of fast tracking response, minimal steady-state oscillations, and improved energy conversion efficiency. This work contributes to the advancement of renewable energy-driven EV technology by providing an efficient and reliable power conversion system that supports sustainable transportation solutions.