Details
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE Conference on Control Applications, CCA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 917-922 |
| Number of pages | 6 |
| ISBN (electronic) | 9781509007554 |
| Publication status | Published - 10 Oct 2016 |
| Event | 2016 IEEE Conference on Control Applications, CCA 2016 - Buenos Aires, Argentina Duration: 19 Sept 2016 → 22 Sept 2016 |
Abstract
During drive off maneuvers from stand still with high torque unpleasant longitudinal oscillations of the vehicle occur, commonly referred to as the power hop phenomenon. This effect especially arises in vehicles with manual transmission in a maneuver with abrupt release of the clutch, also known as snap start. Traction control on the engine control unit provides a cheap and easy way to reduce power hop and thus to improve the comfort for the passengers. In this paper two methods for estimation of tire road friction coefficient during snap start are presented with regard to road condition dependent parametrization of a Sliding Mode traction control. Since the road conditions can change in every maneuver, a fast but also accurate estimation algorithm is necessary. The first method is based on a vehicle model and uses an Extended Kalman Filter to estimate the current maximum friction coefficient. The second method uses only wheel speed measurements to deduce information about the road condition. These methods can be used to adapt the parameters of the control algorithm to different road surfaces and thus improve the performance. Experimental results on different road surfaces are presented.
ASJC Scopus subject areas
- Mathematics(all)
- Control and Optimization
- Mathematics(all)
- Modelling and Simulation
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2016 IEEE Conference on Control Applications, CCA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 917-922 7587930.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Tire road friction estimation for improvements to traction control during drive off maneuvers in vehicles
AU - Eicke, Simon
AU - Busch, Alexander
AU - Wielitzka, Mark
AU - Zemke, Steffen
AU - Trabelsi, Ahmed
AU - Dagen, Matthias
AU - Ortmaier, Tobias
PY - 2016/10/10
Y1 - 2016/10/10
N2 - During drive off maneuvers from stand still with high torque unpleasant longitudinal oscillations of the vehicle occur, commonly referred to as the power hop phenomenon. This effect especially arises in vehicles with manual transmission in a maneuver with abrupt release of the clutch, also known as snap start. Traction control on the engine control unit provides a cheap and easy way to reduce power hop and thus to improve the comfort for the passengers. In this paper two methods for estimation of tire road friction coefficient during snap start are presented with regard to road condition dependent parametrization of a Sliding Mode traction control. Since the road conditions can change in every maneuver, a fast but also accurate estimation algorithm is necessary. The first method is based on a vehicle model and uses an Extended Kalman Filter to estimate the current maximum friction coefficient. The second method uses only wheel speed measurements to deduce information about the road condition. These methods can be used to adapt the parameters of the control algorithm to different road surfaces and thus improve the performance. Experimental results on different road surfaces are presented.
AB - During drive off maneuvers from stand still with high torque unpleasant longitudinal oscillations of the vehicle occur, commonly referred to as the power hop phenomenon. This effect especially arises in vehicles with manual transmission in a maneuver with abrupt release of the clutch, also known as snap start. Traction control on the engine control unit provides a cheap and easy way to reduce power hop and thus to improve the comfort for the passengers. In this paper two methods for estimation of tire road friction coefficient during snap start are presented with regard to road condition dependent parametrization of a Sliding Mode traction control. Since the road conditions can change in every maneuver, a fast but also accurate estimation algorithm is necessary. The first method is based on a vehicle model and uses an Extended Kalman Filter to estimate the current maximum friction coefficient. The second method uses only wheel speed measurements to deduce information about the road condition. These methods can be used to adapt the parameters of the control algorithm to different road surfaces and thus improve the performance. Experimental results on different road surfaces are presented.
UR - http://www.scopus.com/inward/record.url?scp=84994339340&partnerID=8YFLogxK
U2 - 10.1109/cca.2016.7587930
DO - 10.1109/cca.2016.7587930
M3 - Conference contribution
AN - SCOPUS:84994339340
SP - 917
EP - 922
BT - 2016 IEEE Conference on Control Applications, CCA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Conference on Control Applications, CCA 2016
Y2 - 19 September 2016 through 22 September 2016
ER -