Electric Power Steering system provides the assist steer torque in vehicle through an electric motor. Since the electric motor is directly connected to the mechanical steering rack, must have the following features: Torque production with minimum Ripple for Precise steer control, High efficiency, easy Manufacturing technology and minimum size and weight. Motor structure optimization is done in ...

Electric vehicle has received more and more extensive attention, which is one of the major development directions of motor vehicles using new energy sources. Electric vehicles are development promising green transports, and important means to solve energy and environmental problems. The construction of charging infrastructure is an important prerequisite for the advancement of electric vehicles...

With the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system transmission loss by optimizing domestic electric vehicle charging loads. In this paper, a domestic...

In this paper, a comprehensive mathematical model for designing an electric power supply chain network via considering preventive maintenance under risk of network failures is proposed. The risk of capacity disruption of the distribution network is handled via using a two-stage stochastic programming as a framework for modeling the optimization problem. An applied method of planning for the net...

In the provinces of north China, combined heat and electric power generations (CHP) are widely utilized to provide both heating source and electricity. While, due to the constraint of thermal-electric coupling within CHP, a mass of wind turbines have to offline operate during heating season to maintain the power grid stability. This paper proposes a thermal-electric decoupling (TED) approach to...

The electric power load forecasting is critical for stable electric power system supply. In this paper, a seasonal ARIMA model was used to effectively forecast power load data characterized using periodicity. A numerical example reveals that the seasonal ARIMA model effectively forecast periodic power load.