We develop and test a “slip-based” method to estimate the maximum available tire-road friction during braking. The method is based on the hypothesis that the low-slip, low-μ parts of the slip curve used during normal driving can indicate the maximum tire-road friction coefficient, We find support for this hypothesis in the literature and through experiments. The friction estimation algorithm uses data from short braking maneuvers with peak accelerations of 3.9 m/s2 to classify the road surface as either dry or lubricated Significant measurement noise makes it difficult to detect the subtle effect being measured, leading to a misclassification rate of 20%.
Issue Section:
Technical Papers
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2.
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3.
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4.
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21.
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22.
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23.
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24.
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25.
Pasterkamp, W. R., and Pacejka, H. B., 1997, “Application of Neural Networks in the Estimation of Tire/Road Friction Using the Tire as a Sensor,” SAE paper number 971122.
26.
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