Increasing Electric Vehicle (EV) possession has resulted in an abundance of Charging Stations (CSs), which nurtures load demands and causes grid interruptions in peak hours. By using an effective Energy Management Strategy (EMS), microgrids provide a workable solution to these problems with the electrical distribution infrastructure. The goal of this research is to avoid storage device degradation too soon and to guarantee a steady power supply regardless of generation differences using a hybrid optimization technique. For Micro Grid (MG) with EV operation, a CS system based on Fuzzy integrated with Dwarf Mongoose based Zebra Optimization tuned Proportional Integral controller (DMZO-PI+Fuzzy) is advised to establish dependable power balancing. The introduced DC MG, which combines Renewable Energy Sources (RES) as sources, is built, evaluated, and validated through simulations using MATLAB simulink. The proposed hybrid optimization strategy outperforms the popular traditional algorithms on Power Management (PM) with respect to convergence speed and steadiness. The enhanced response characteristics show that DMZO-PI+Fuzzy maximizes the use of energy resources by managing power in the DC microgrid in an effective manner. The significance of the approach’s configuration for economical PM in DC MGs is highlighted using these results.