This paper investigates the distributed energy management strategy for the community consists of households equipped with EV/PHEV storage. We consider the power flow balancing between a prediction based power supply and an actual demand of the community. Each agent, a household, is allowed to determine its own storage charging set-point. On the other hand, the utility, which corresponds to the management office of the community, tries to realize a socially optimal solution that fulfills steady state power flow balancing. In order to align the individual decision making of each agent with the socially optimal solution, the utility is allowed to provide an additional price,which conceptually represents tax or subsidy for the agents. By examining the problem structures of EV/PHEV storage charging, we propose a management strategy that consists of the real-time pricing and distributed optimizations. Effectiveness of the proposed price based distributed management strategy is evaluated through numerical experiments.
Robotic drivers are used in the vehicle performance test. The robotic driver has been expected to test the vehicle performance for the long time with high reproducibility. Applying to driving on an actual road as well as a running test is also expected because improvement of a vehicle isnt required. In order to drive on actual road, it is necessary to drive with pedal operation like a person. However, unlike a professional driver, it is difficult for a robotic driver to drive with smooth pedal operations and low fuel consumption. First, we performed a preliminary test by a professional driver and a robotic driver. From this test, we found that the square value of the power of the vehicle was effective for driving with low fuel consumption. Therefore, we propose the objective function considering the square value of the power. Then, we derived the reference velocity in a driving cycle's tolerance for the robotic driver by the proposed objective function. Finally, we performed the vehicle test by the robotic driver. We made sure that the proposed system was effective from the result of the actual vehicle tests.
In recent years, the photocopier has been asked for high picture quality especially in the product printing market and needed to perform high control performance against the various process variation factors. It is important to control the amount of toner on the transfer medium precisely. In this paper,we propose to design a control system for the amount of toner using the model predictive control (MPC) based on the identified model. We show the result of comparison between the conventional control system and the proposed system. Especially we evaluate the control performance using the experiment data which was acquired by the test photocopier.