Economic scheduling of Plug-In Hybrid Electric Vehicle considering various travel patterns

Due to the wide usage of fossil fuels, global warming has become a major threat in recent years. Hence, Plug-in Hybrid Electric Vehicles (PHEVs) usage has become an alternative solution due to the depletion of resources and the increasing price of fossil fuels. In this work, the driving pattern of the vehicles is calculated using probability density function. A Fuzzy Logic based method is used to correlate the arrival and departure time of the vehicle with the daily mileage as they are independent in nature. The total operating cost minimization is the main objective of the work by adopting controlled charging strategy. The controlled charging strategy comprises of three different modes: charging, discharging and idle mode. Thus, the economic scheduling of PHEVs using the controlled charging strategy is implemented considering two different test cases namely residential and commercial area, each with a parking lot for charging the vehicles. Finally, the scheduling of PHEV is performed using MATLAB and the results of the two different cases were analyzed under different charging levels and three All Electric Range (AER)-30,40 and 60 ranges of PHEVs.