In recent decades, the world has faced two major challenges in the traortation industry. First, the wasteful consumption of fossil fuels has increased, insofar as the major amount of oil reserves on the world has been used. Besides, the impact of motor vehicles on air pollution and environmental issues that are still deteriarating. Loads on motor vehicles are generally divided into two categories: road loads and auxiliary loads. Auxiliary loads are all loads that are applied to the vehicle by factors other than propulsion like accsessories. In conventional vehicles, these loads are usually applied to the main (combustion) engine. In order to reduce these loads, various strategies are used that one of the most important one of them is the use of an auxiliary power unit (APU); That is, a set of accessories connected to and powered by a smaller separate power generator (electric motor, combustion engine, etc.). The most important advantage of this unit is eliminating the load of this accessories from the engine. In this study, the performance of the auxiliary power unit of an electric hybrid bus, including three main equipments; the compressor, power steering system, and air conditioning system connected to an electric motor were simulated in MATLAB-SIMULINK software. Then, a control strategy based on fuzzy logic was designed to prevent the simultaneous operation of three accessories as much as possible and it was added to the auxiliary power unit model. The results of repeated simulations showed that the designed fuzzy controller was successful in scattering the operation of the equipment in the driving cycle and it led to preventing their simultaneous operation, and reducing the average and maximum power consumption of the auxiliary power unit. Finally, by adding the designed model of auxiliary power unit with a controller to the main model of the bus power system and simulating it frequently, it was shown that the proposed control strategy has a considerable influence on reducing bus fuel consumption and its pollutants. Keywords: Auxiliary loads, Hybrid electric bus, vehicle power management, Auxiliary power unit, Fuzzy controller, Fuel consumption, Pollutants.