Technical Awards : 2021 JSAE Award The Outstanding Technical Paper Award - An Approach to Exploring Vehicle Motion to Enhance Ride Quality of PassengerMitsuhiro MakitaAkihiro MatsushitaYoshinori KusayanagiMasahiro Miura6. ConclusionRecipientReferencesSourcethe terms corresponding to each control input must be set in the evaluation functions. Otherwise, simultaneous optimization is not possible (ensuring orthogonality of the terms). To advance research on ride quality, the fl exibility of expressing the evaluation functions needs to be improved.In this study, the effects of vehicle dynamics on passengers were considered from the perspective of ride quality, and a for improving ride quality was presented herein. Passenger ride quality can be improved by determining the vehicle motion if it is assumed that the ride quality depends on the passive motion load applied to the body and on the perception caused by the vehicle motion within the acceleration space.Therefore, the desirable motion was set as the evaluation function, and motion design was attempted using inverse vehicle dynamics analysis, where the vehicle motion was derived from the optimal control. An observer was established to incorporate a passenger body model which estimate the load, and acceleration which used to estimate the motion perceived by passengers into the evaluation function. In this manner, an inverse dynamics analysis that combines the passenger and the vehicle was realized.It is necessary to subjectively evaluate whether the form of the evaluation function successfully indicates the improvements in the ride quality of the designed vehicle motion and to also investigate the passengersʼ perception of vehicle motion. For these purposes, this paper presents an evaluation fl ow using a specifi c example. In the fi rst phase, a travel scene is assumed. In the next phase, the vehicle dynamics are designed using a candidate evaluation function setting. In the last phase, evaluation is performed by placing a passenger in the designed acceleration space (the actual vehicle in this study).This research will be extended such that the “vehicle motion gentle to the passenger” can be incorporated into the technological developments in autonomous driving via control logics and artifi cial intelligence, among others.(Addendum): The tests conducted in this study were examined and approved by the Experimentation Ethics Committee of Nissan Motor Co., Ltd. The tests were conducted after obtaining informed consent from the participants. (1) Tatsuya Yoshimoto, Takanori Fukao, Yasuyoshi Yokokohji, Hiroshi Inou: Path Generation of Lane Change in Dynamic Environments Considering Characteristics of Driverʼs Operation, Transactions of the JSAE, Vol.47, No.2, p.633-638 (2016) (2) Takahiro Wada: On Motion Sickness in Highly Automated Vehicles, Proceedings of the JSAE Annual Congress (2016), 20165263(3) Katsunori Yamada, Harutoshi Motojima, Yuichi Kitagawa, Tsuyoshi Yasuki: Investigation of Relations between Occupant Kinematics and Supporting by the Seat in Lane Change Maneuvers, Proceedings of the JSAE Annual Congress (2016), 20165176(4) Makoto Yamamoto, Tadashi Yamamoto, Shuji Nishiyama: Proposal for a Transition Curve with Smoothly Changing Curvature Using Multiple Clothoid Curve, Transactions of the JSME, Vol.83, No.852 (2017)(5) Tohru Yoshioka, Masato Abe, Makoto Yamakado, Yoshio Kano, Yusaku Takeda, Kazuhiro Takemura, Takatoshi Tsukano, Fuminori Kato, Daisuke Umetsu: Analyses on Vehicle Dynamics Improvements from Human Aspects with G-Vectoring Control, Proceedings of the JSAE Annual Congress (2016), 20165250(6) Alexander Lange, Martin Albert, Karl-Heinz Siedersberger, Klaus Bengler: Ergonomic Design of the Vehicle Motion in an Automated Driving Car, 6th International Conference on Applied Human Factors and Ergonomics (AHFE) (2015)(7) Mitsuhiro Makita: A Solution to Apply Load-Transfer Including Vehicle Model to Optimal Control Formulation, Transactions of the JSME, Vol.81, No.826 (2015)公益社団法人自動車技術会自動車技術会論文集Vol.50, No.5 文献番号：2019468777116No.88 (2022) NISSAN TECHNICAL REVIEW