Abstract
The dependency of the steady-state yaw rate model on vehicle weight and its distribution is studied in this paper. A speed-dependent adjustment of the yaw rate model is proposed to reduce the yaw rate estimation error. This new methodology allows the calibration engineer to minimize the yaw rate estimation error caused by the different weight conditions without going through the calibration process multiple times. It is expected that this modified yaw rate model will improve the performance of Electronic Stability Control (ESC) systems such as response time and robustness.
Highlights
A speed-dependent adjustment of the yaw rate model is proposed to reduce the yaw rate estimation error. This new methodology allows the calibration engineer to minimize the yaw rate estimation error caused by the different weight conditions without going through the calibration process multiple times
Yaw rate [1] [2] estimation is critical for Traction Control Systems (TCS) [3] and Electronic Stability Control (ESC) system [4]
In order to study the impact of weight and its distribution on the yaw rate, two vehicle loading conditions are analyzed: 1) The weight is increased from Lightly Loaded Vehicle Weight (LLVW) to Gross Vehicle Weight (GVW) while maintaining the same center of gravity (CG) location; 2) GVW with CG at different locations
Summary
(2017) A New Methodology for Reducing Yaw Rate Estimation Error. World Journal of Engineering and Technology, 5, 12-20. Received: November 7, 2016 Accepted: December 13, 2016 Published: December 16, 2016
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