In this paper, the charging patterns of different electric vehicle users, i.e., fast charging and slow charging, of energy management system strategies are studied. The density of EV users in the proposed area is varying every hour with an increment in EV penetration level. The initial SOC, battery capacities, and charging time are considered uncertainties of the EV density. With the help of the probability distribution function, the initial SOC of the EV is determined. The power demand of each EV during a day after reaching the EV charging station (EVCS) or home is estimated using the mathematical model developed in this paper. Using power level and SOC level as limitations, the major goal of this article is to reduce the daily EV load generated by various EV users on the distribution network. A priority-based charging method algorithm is proposed to distribute EVs to the EVCS with an increment in EV penetration level for every hour during a day. With the help of the proposed algorithm, the total power demand of EV users during a day and charging time are evaluated.