An intelligent tire force estimation correction method based on wheel spoke strain

Abstract

The previous research shows that by installing strain sensors in the strain-sensitive areas of the wheel hub, the strain characteristics of the wheel hub can be measured under different operating conditions. Based on the changing patterns of strain characteristics, a basic method for estimating tire forces can be established. However, when the operating conditions change, the accuracy of the tire force estimation obtained from the basic method is low. This study analyses the strain characteristics of the wheel hub under the variations of factors such as tire pressure, vehicle speed and radial load, and finds that tire pressure is an important correction factor for estimating radial forces, while radial load is an important correction factor for estimating longitudinal and lateral forces. An intelligent correction method for estimating tire forces based on wheel hub strain is proposed according to the changing patterns between key correction factors and wheel hub strain characteristics, and it is validated by simulation experiments. The estimation correction method proposed in this paper comprehensively considers the effects of multiple factors on wheel hub strain based on previous research. Therefore, the constructed tire force estimation model can be applied to a wide range of driving conditions with high estimation accuracy. In addition, this paper conducts research on wheel hub strain instead of tire strain, which takes a new approach to tire force estimation and provides valuable references and insights for the development of intelligent tires in the future.