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The recent technological development trend in the automobile market is in the huge flow of MECA (Mobility, Electrification, Connectivity, Autonomous). The role of the seat is to provide convenience functions in addition to providing safe and comfortable performance. The development of autonomous driving technology reduces fatigue during long-term driving, but on the contrary, the risk of drowsy driving due to overconfidence in the autonomous driving system is increasing. In this study, the massage function was developed by utilizing the existing pneumatic system, and the contents of research on objectification through medical verification of the effect of preventing drowsy driving and recovering from fatigue due to long-term driving are described.

The large luxury sedan seat has a 22-way Movement. It offers a wide range of adjustments to enhance passenger comfort performance while it has many constraints on movement in constrained indoor space. In addition, the power seat is operated by a motor, which makes it difficult for the user to determine the amount of adjustment, unlike determining the amount of adjustment by the power and feel of a person, such as manual seat adjustment. IMS, one-touch mode, is also constrained by parameters such as indoor space package, user's lifestyle, etc. during function playback. This paper aims to design the seat control logic to achieve the best seat comfort while satisfying each constraint. The results of this study are as follows. Increase robustness of power seat control logic. Provide optimal adjustments and comfort at each location. Offer differentiated custom control and seating modes for each seat. Improve customer satisfaction and quality by upgrading software.

S.E.A.T (Seat Effective Amplitude Transmissibility) index is used to evaluate ride comfort under vehicle driving condition. The proposed objective evaluation methodology uses several accelerometers to derive an objective index which is more reasonable than subjective evaluation. Moreover, a CAE (Computer Aided Engineering) methodology is proposed to obtain simulation results using the measured acceleration data at seat mountings as input conditions to seat system assembly. Finally, several case studies are conducted for maximizing ride comfort using the CAE model.