Fuzzy Logic‐Based Power Management Strategy for Bidirectional Solar‐Integrated <scp>EV</scp> Charging

ABSTRACT The rising concern over environmental pollution has accelerated the adoption of electric vehicles worldwide. However, the increased demand for electric vehicle charging places an additional burden on the power grid, which primarily relies on limited fossil fuel resources. The adoption of solar‐assisted EV charging has the potential to reduce fossil fuel dependence, lower greenhouse gas emissions, and promote sustainable urban mobility, yielding significant societal and environmental benefits. This paper presents a Fuzzy Logic Control (FLC)‐based Power Management Controller (PMC) for a single‐phase grid‐connected electric vehicle (EV) charging station powered primarily by solar PV and supported by a Battery Energy Storage System (BESS). The proposed system is capable of operating in both grid‐to‐vehicle (G2V) and vehicle‐to‐grid (V2G) modes. The study models various components, including PV arrays, storage batteries, and grid interconnections. The effectiveness of the proposed controller is demonstrated through MATLAB/Simulink simulations across various operational scenarios, highlighting its capability to maintain DC link voltage stability and minimize reliance on the grid. The control strategy is benchmarked against conventional PID and Artificial Neural Network (ANN) controllers. Results show that the proposed controller eliminates voltage overshoot from 9.6% to 0%, reduces settling time from 1.18 to 0.41 s, and shortens rise time from 0.27 to 0.24 s, thereby confirming enhanced voltage regulation and improved transient response. This study is based on simulation analysis, which can be extended through experimental validation for broader applicability.