Abstract:

Resources for energy are very important for the existence of mankind. The choice of power generation

methods and their economic feasibility vary depending on the demand and geographical region. However, the scarcity of

charging stations is one of the most major obstacles that stands in the way of the broad adoption of electric vehicles. In

order to address the issue of charging stations, this research suggests the implementation of a hybrid charging station that

is powered by both solar and wind energy, in addition to an algorithm that optimizes energy management. The

development of a proposed charging station that utilizes a hybrid renewable energy source has been enhanced by the

implementation of simulation done on MATLAB based on a fuzzy logic inference controller system. The ultimate aim

focus on reducing the need for charging and optimize the use of hybrid renewable energy sources through effective

management of power generation, power utilization, distribution, charging timelines, demand and electric vehicle power

consumption. When compared to the demand, the results demonstrate that the suggested algorithm leads to a reduction in

energy demand and management. Additionally, the proposed framework of the energy management optimization system

was executed and the results reflect that peak demand of a charging station is reduced significantly during peak hours