Under the constraints of power battery charging and discharging capacity and customer travel needs, an EV charging and discharging model is proposed to maximize the electric vehicle economic benefits and coordinate the charging and discharging of EVs. The vehicle travel behavior data used are derived from the National Household Travel Survey (NHTS). Monte Carlo simulation method is utilized to generate the trip's needs of customers based on actual customers' travel rule. The economic benefits of electric vehicle charging/discharging are simulated and analyzed. The results indicate that the economic benefits of the rational charging/discharging model can be significantly improved by responding the time of use electricity price. Meanwhile, due to the relatively cheaper off-peak electricity price at night than the expensive on-peak electricity price during the day, electric vehicles tend to charge at low load time and discharge inversely at peak load time in distribution system so as to achieve peak load shifting.