Abstract
Previous paper aims to apply the deep reinforcement learning to the shift control of the EV two-speed transmission. In this study, we perform learning and verification based on the state quantity assuming the actual vehicle, and clarify that deep reinforcement learning is also useful for the state quantity of the actual vehicle. In order to reproduce the actual vehicle condition, we have developed a simulation model that does not monitor the clutch transmission torque. Next, the robust controller by learning under multiple conditions is verified whether it is possible to develop a robust controller.
