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The continuing increase of routinely available computing power now allows optimization with objective functions based on time domain simulations of vehicle dynamics. This paper uses this technique to determine the steering controls which lead to very large transient lateral load transfer. The vehicle simulation uses a yaw plane vehicle model with a very capable tire model. The steering controls to be optimized are a function of their Fourier coefficients. Examples using a SUV model illustrate that very inexpensive computing platforms are able to implement millions of time domain runs in a reasonably short time in support of the optimization. Comparisons with simulations of the NHSTA fishhook maneuver provide context for the results, which lead to simulated load transfer slightly in excess of the simulated NHTSA test. The optimized runs exhibit maximum load transfer well within the confines of a two lane highway.

This paper applies basic statistics to the simulation of vehicle dynamics in the time domain and the frequency domain. The methods presented here yield an expectation for the variation of the computed results as a function of variation in input parameters. Applications include important steady state measures of vehicle performance such as understeer gradient and yaw rate gain. Follow up analysis includes measures of transient response in the time domain and of amplitude and phase relationships in the frequency domain. There are several potential applications for this methodology, perhaps most important, an understanding of the consequences of parameter uncertainty on the credibility of simulated results.

Certain sections of Motor Vehicle Safety Standard 121 require that air braked commercial vehicles have the capacity to produce an average deceleration of more than 17 feet/sec2 from 60 mph to stop without prolonged wheel lockup on a surface characterized by an ASTM skid number of 75. Since commercial vehicles commonly include a wide variety of geometric and load configurations, careful steps must be taken by the manufacturer to assure conformance of each vehicle produced. Ford Motor Co. has found it useful to approach this problem with a program combining vehicle testing and computer simulation. A simple computer model is employed to select critical vehicles for subsequent testing. These vehicles serve a twofold purpose; to demonstrate empirically conformance to the stopping distance requirements of MVSS 121, and to permit correlation of a more sophisticated simulation. This more comprehensive model is then utilized to calculate the longitudinal braking performance of other vehicles.