As unmanned aerial vehicles expand their utilization and coverage, research is in progress to develop low-weight and high-performance motors to efficiently carry out various missions. An electromagnetic field interior permanent magnet (IPM) motor was designed and analyzed in this study that improved the flight performance and flight duration of an unmanned aerial vehicle (UAV). The output power and efficiency of a conventional commercial UAV motor were improved by designing an IPM motor of the same size, providing high power output and high-speed operation by securing high power density, wide speed range, and mechanical stiffness. The cooling performance and efficiency of the drive motor were improved without requiring a separate power source for cooling by introducing the helical-grooved self-cooling case, which has a low heat generation structure. Furthermore, the motor is oil-cooled through rotating power without a separate power source, reducing the weight of the UAV. The heat dissipation characteristics were verified by fabricating a prototype and taking actual measurements to verify the validity of the heat dissipation characteristics. The results of this study are expected to improve the flight duration and performance of UAVs and contribute to the efficiency of the design of a UAV drive motor.

In this paper, output power distribution algorithm is proposed for the front- and rear-motors through the power distribution system of four-wheel-drive (4WD) electric vehicles. Through the power distribution system, optimal control of the power distribution is obtained by applying a power distribution rate that increases battery range by improving the battery efficiency. Optimization of the power distribution according to the vehicle driving conditions reduces unnecessary power- loss and improves its driving energy efficiency through high-efficiency operation control to increase the range of the vehicle. Driving simulations are performed in a simulation environment developed using CarSim along with MATLAB/Simulink, and the performance of the proposed algorithm is verified. It was confirmed that with the proposed algorithm 4WD electric vehicles use less power based on the driving simulations and increased vehicle battery efficiency, depending on algorithm applicability.

As the society emphasizes individuality, various demands on vehicles are also increasing. Accordingly, development of vehicle technology, suitable for small quantity batch production, is needed. To meet the requirements, this paper studied the technology of the variable architecture chassis platform, and this chassis platform will contribute to the autonomous industrial EV (Electric Vehicle).