The shift toward sustainable energy and transportation systems is a critical global priority, fostering the integration of solar photovoltaic (PV) technology with electric vehicle (EV) charging infrastructure. This paper presents the implementation of adaptive control techniques in a solar PV-based EV charging system to enhance efficiency and optimize performance. It introduces a novel adaptive control algorithm, the Logarithmic Normalized Least Mean Square (LNLMS), designed to address the limitations of existing algorithms by improving convergence speed, robustness, and power quality. The LNLMS algorithm enhances solar PV-based EV charging stations’ dynamic performance and power quality, enabling more efficient and reliable integration of renewable energy sources with electric transportation systems. The algorithm’s performance is evaluated through simulation studies and real-world experiments, examining its efficacy, robustness, and scalability.