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An automotive transmission maintains a proper equilibrium between the power and torque produced by an engine and those demanded by the drive wheels. Most automatic, transmissions employ some kind of epicyclic gear mechanisms to achieve the above purpose. The first step in the design process of such a mechanism involves finding a configuration that provides a set of desired speed ratios, and meets other dynamic, and kinematic requirements. In this work, the kinematic structural characteristics of epicyclic gear mechanisms have been identified, and a methodology is formulated to systematically enumerate all possible configurations of such mechanisms. This is achieved by defining a canonical graph to represent the mechanisms. Graphs of mechanisms with up to ten links have been generated using this methodology.

This paper describes a methodology for simple mathematical models to capture the handling behaviors of automobiles. The frequency response data obtained from random steer tests are assumed to fully represent the handling quality of a vehicle. The methodology calls for estimation of the values of some parameters in simple mathematical models. These models are developed from comprehensive understanding of vehicle handling dynamics. The parameter estimation process involves fit ting of the frequency response data numerically with a nonlinear optimization algorithm. Data of one sedan and three minivans are available to demonstrate the application of methodology. From the perspective of data fit, it can be concluded that roll motion does not play significant role in the handling dynamics of the sedan while it contributes more significantly to the handling dynamics of the three minivans.