Haptic feedback on the steering wheel near the vehicle’s handling limits using wheel load sensing

Haptic feedback on the steering wheel near the vehicle’s handling limits using wheel load sensing

Van Doornik, J.J.

Happee, R. (mentor)

Mechanical, Maritime and Materials Engineering

DCSC

Control Engineering - Automotive

2014-06-30

Research in vehicle dynamics and vehicle control systems has increased a lot over the last decades due to the focus towards safety, driving comfort and emissions and the opportunities that come with the development of hybrid- and electric powertrains. Modern vehicles are equipped with many automated systems but automation can have disadvantages such as overreliance, complacency, nonvigilance, deskilling and confusing the driver. The goal of this thesis is to prevent loss of control by improving haptic feedback on the steering wheel near the vehicle’s handling limits using wheel load sensing. Predicting when a vehicle starts to over- or understeer is a difficult task since it depends on the road surface and will only be revealed by vehicle states once it is already too late. The aligning moment of the tire drops before the lateral force actually saturates because of a decrease in pneumatic trail caused by tire contact patch deformation. This drop in aligning moment can be felt on the steering wheel and is an indication that a vehicle is close to the limit. However, the large ratio of mechanical to pneumatic trail and the increased power steering in modern vehicles makes the drop in aligning moment difficult to feel. If vehicles become steer-by-wire there is no feedback reaching the driver through the steering wheel at all. The first part of this thesis consists of identification of the lateral force and aligning moment of the tires with Load Sensing Bearings (LSBs) from SKF. Estimating the lateral force has been done before and the results here show that estimation of the aligning moment is also possible. A Multiple Linear Regression Analysis (MLRA) is used to find first order linear models reconstructing the lateral force and aligning moment from measurements with the LSBs. Different models are derived based on measurements of strain gauges and hall effect sensors on the bearing. The second part of this thesis consists of experiments done at the Prodrive test track to investigate the improvement of haptic feedback using LSBs. The work is a follow-up study based on the Haptic Support Near the Limits (HSNL) system developed in a previous research project. The drop in aligning moment is measured with LSBs and amplified on the steering wheel. The results show that with this feedback drivers are indeed better capable of preventing saturation of the front tires but further research is needed on how the system can increase safety. The results show a decrease in control effort and workload with feedback which can increase driving pleasure and comfort for the driver.

mechanical engineering
control engineering
haptic
feedback
steering
steering wheel
wheel load sensing
load sensing bearing
load sensing bearings
opel astra
prodrive
skf
tu delft
HSNL
LSB
NMS

http://resolver.tudelft.nl/uuid:fc11179e-9aa9-4a13-9dda-21c45d6747b1

2014-06-30

Student theses

master thesis

(c) 2014 Van Doornik, J.J.