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Suspension design is influenced by many factors, especially by vehicle dynamics performance in ride, handling and durability. In the global automotive industry it is common to “customize” or tune suspension parameters so that a vehicle is more acceptable to a different customer base and in a different driving environment. This paper seeks to objectively quantify certain aspects of tuning via ride optimization, taking account of market differences in road surface spectral properties and loading conditions. A computationally efficient methodology for suspension optimization is developed using stochastic techniques. A small (B-class) vehicle is chosen for the study and the following main suspension parameters are selected for optimization - spring stiffness, damping rate and vertical tire stiffness. The road is characterized as a stationary random process, using scaling and shaping filters representative of comparable roads in India and the USA.

Various means for measuring a vehicle's roll stability performance are considered in terms of the pertinence of their test conditions to the rollover crash record, the practicality and quality of the measurement, and their ability to span the performance range of the population of light-duty vehicles. Classical static measures as well as the so-called “maneuver-type” tests that have been under extensive study by the U.S. Dept. of Transportation are specifically addressed. In light of limitations facing the existing methods, the concept of a centrifuge test device is introduced and discussed. The apparatus is comprised of a relatively large machine that mounts a full-sized vehicle tangent to the rotation of a radial arm which revolves at a controlled angular rate. The minimum steady speed of rotation that induces a rollover response in the mounted vehicle corresponds to the static rollover threshold, in units of lateral (or centripetal) acceleration.