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Journal Article

Light Vehicle Dry Stopping Distance - Vehicle Speed Correction, Tire Burnish, and Surface Friction Correction

2011-04-12
2011-01-0966
Consistent and accurate vehicle stopping distance measurements have been difficult to achieve across the industry including media vehicle evaluations. Initial test speed, brake pedal force application, tire burnish, road surface friction, and Anti-lock Brake System (ABS) efficiency are five test variables influencing variation in stopping distance measurements. This paper will discuss these five test variables and how to apply consistent test methods to reduce test variation.
Technical Paper

Using Simulation to Quantify Sine with Dwell Maneuver Test Metric Variability

2008-04-14
2008-01-0590
The Sine with Dwell (SWD) maneuver is the basis for the NHTSA FMVSS-126 regulation. When put into effect, all vehicles under 10,000 lbs GVWR will need to pass this test. Understanding the variability in the yaw rate ratio and lateral displacement test metrics is important for vehicle design. Anything that influences vehicle handling can affect test metric variability. Vehicle handling performance depends largely on vertical tire patch loads, tire force and moment behavior, on slip angle, and camber angle. Tire patch loads are influenced, among other things, by weight distribution and (quasi-static and dynamic) roll-couple distribution. Tire force and moment relationships have a distinct shapes, but they all commonly rise to a peak value at a given slip angle value and then fall off with increasing slip angle. Severe handling maneuvers, like the SWD operate at slip angles that are at, or above, the peak lateral force.
Technical Paper

Automotive Performance Optimization

1998-02-23
980825
A multi-objective optimization procedure has been developed to optimize the vehicle longitudinal acceleration and steady-state fuel economy. A 5-speed manual-transmission vehicle is adopted for the prediction of the 0 - 60 mph acceleration time. A simplified fuel economy model is used to simulate the fuel consumption under steady vehicle speed. The optimization algorithm selected is the Modified Method of Feasible Directions due to its high reliability and efficiency. A notable feature of the optimization process adopted is that the algorithm can compromise between the competing performances while meeting the requirements for the ride and handling quality of the vehicle.
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