Simulated effect of driver and vehicle interaction on vehicle interior layout |
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| Affiliation: | 1. Human-Centric Design Research Laboratory, Department of Mechanical Engineering, Texas Tech University, Lubbock, TX 79409, USA;2. State Key Lab of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China;1. College of Mechanical and Electronic Engineering, China University of Geosciences, Wuhan 430074, China;2. Department of Mechanics, Tianjin University, Tianjin 300072, China;3. School of Engineering, University of California, Merced, CA 95343, USA;2. Department of Robotics and Telematics, University of Wuerzburg, 97074 Wuerzburg, Bavaria, Germany;1. Department of Industrial Engineering, Texas Tech University, Lubbock, TX 79409, USA;2. Department of Industrial Engineering & Engineering Management, National Tsing Hua University, Taiwan, ROC;3. National Institute for Occupational Safety and Health, 4676 Columbia Parkway, Cincinnati, OH 45226, USA;1. Loughborough Design School, Loughborough University, United Kingdom;2. School of Science and Technology, Nottingham Trent University, United Kingdom;3. Nissan Technical Centre Europe, United Kingdom;4. Nissan Motor Company Limited, Japan;1. Department of Special Medicine, Xiangya 3rd Hospital, Central South University, Changsha 410013, China;2. Department of Mechanical and Aerospace Engineering, Rutgers University, Piscataway, NJ 08854, USA;3. College of Energy Engineering, Zhejiang University, Hangzhou 310027, China;4. Department of Electrical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA;5. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410008, China |
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| Abstract: | Digital human modeling is an essential tool to reduce cost and to save time in a design process where humans take the part of users of the design. Considering this phenomenon for a vehicle interior, the importance of the seat track location and adjustment ranges become important. This paper presents the effect of driver and vehicle interaction on vehicle interior layout based on simulation approach. This simulation method includes two optimizations. The first optimization problem is the physics-based seated posture prediction. In order to represent physical drivers, 4,500 virtual drivers are generated based on an anthropometric database-ANSUR. Interaction forces between the digital human and pedal, seat, ground, and steering wheel are incorporated in the physics-based posture prediction. Three different pedal reaction moments (0, 20, and 40 N m) are implemented into the formulation to examine the effect of pedal reaction moment on driver seat location and adjustment ranges. To study the effect of shear forces, the physics-based posture prediction is compared to kinematics-based posture prediction. After posture predictions are completed, individuals' preferred seat locations are used in a second optimization problem to predict the seat track location and adjustment ranges. For a specific vehicle with 20 N m pedal reaction moment, adjustment ranges are predicted as 223 mm and 82 mm in horizontal and vertical directions, respectively. Also, it was shown that shear force due to the interaction between the driver and the seat pan and the pedal reaction moment are both influential to the seat track location and adjustment ranges.Relevance to industryThe simulation model presented in this paper is useful in vehicle and seat design and can be easily used for virtual design assessment in vehicle design. |
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| Keywords: | Physics-based posture prediction Optimization Seat adjustment range Digital human model |
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