主催: 一般社団法人 日本機械学会
会議名: 2022年度 年次大会
開催日: 2022/09/11 - 2022/09/14
The number of development man-hours is also rapidly increasing to respond to CASE, which includes automated driving and electric vehicles. To reduce this rapid increase in development man-hours, we are rushing to introduce a full-scale model-based development method that focuses on simulation, but we believe that this is a tough solution. This is because the "calibration process" during the development process is relied on to deal with hardware components and real-world phenomena, and the number of man-hours required for calibration in simulation or on the actual device is enormous. Therefore, we propose a control system that applies autonomous decentralized control as an approach to suppress the explosion of man-hours in the "calibration process" caused by the increasing complexity of electronic control. In this study, we present the system architecture of the autonomous decentralized control and discuss the calculation method and results of "behavior prediction," which is one of the core functions.