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Yaw rate of a vehicle is highly influenced by the lateral forces generated at the tire contact patch to attain the desired lateral acceleration, and/or by external disturbances resulting from factors such as crosswinds, flat tire or, split-μ braking. The presence of the latter and the insufficiency of the former may lead to undesired yaw motion of a vehicle. This paper proposes a steer-by-wire system based on fuzzy logic as yaw-stability controller for a four-wheeled road vehicle with active front steering. The dynamics governing the yaw behavior of the vehicle has been modeled in MATLAB/Simulink. The fuzzy controller receives the yaw rate error of the vehicle and the steering signal given by the driver as inputs and generates an additional steering angle as output which provides the corrective yaw moment.

A passenger airbag is an important part of a vehicle restraint system which provides supplemental protection to an occupant in a crash event. New Federal Motor Vehicle Safety Standards No. 208 requires considering multiple crash scenarios at different speeds with various sizes of occupants both belted and unbelted. The increased complexity of the new requirements makes the selection of an optimal airbag shape a new challenge. The aim of this research is to present an automated optimization framework to facilitate the airbag shape design process by integrating advanced tools and technologies, including system integration, numerical optimization, robust assessment, and occupant simulation. A real-world frontal impact application is used to demonstrate the methodology.

This paper reviews the structural assessment of a compact vehicle under frontal impact according to Federal Motor Vehicle Safety Standard (FMVSS) 204 Requirement – Steering Control Reward Displacement. The steering column intrusion analysis is made adding a collapsible joint under axial load. Injury analysis is assessed for the driver according to Federal Motor Vehicle Safety Standard 208 Requirement – Occupant Crash Protection – considering HIC (Head Injury Criterion), Chest Deceleration, Chest Deflection and Femur Load. Computational models have been built based on Ford Motor Company experience using MECALOG RADIOSS (FEA Code) and TNO - MADYMO (Occupant Code).