Design and Dynamic Framework of Solar-Based Electric Vehicle Charging Station Through Optimal Sizing Approach

Electric vehicles (EVs) play a valuable role in reducing the environmental impact of EVs and extending their dynamic range. This article shows the framework design and realization of solar-based electric vehicle which is based on intelligent controlling with soft computing techniques. These approaches take careful optimal planning, charging economy, and continual maintenance in order to implement a dynamic solar-powered EV charging station using intelligent control and soft computation techniques. However, it can provide a long-term, ecologically responsible solution for EV charging while also possibly lowering ongoing operating expenses. This paper also supports international initiatives to lessen greenhouse gas emissions and battle climate change. Further, different computing techniques like CCVS, PWM technique, CCS, and ESS have been utilized in this paper. The design of such optimal techniques is based on nonlinear design aspects and other complex algorithms. It is depicted that minimum financial realization and optimal parameters are better assessed with the CCS method in comparison with other techniques.