Torque Sensing for Vehicle State Estimation
| Reference number | |
| Coordinator | Volvo Personvagnar Aktiebolag - Avd 96323 Brake & Vehicle Dynamics Functions |
| Funding from Vinnova | SEK 3 991 000 |
| Project duration | January 2013 - March 2016 |
| Status | Completed |
| Venture | Electronics, software and communication - FFI |
| End-of-project report | 2012-03658eng.pdf (pdf, 780 kB) |
Purpose and goal
The project aims to improve the accuracy of estimates of vehicle operating conditions and thereby contribute to improved functionality in active safety. The focus of the project has been friktion estimation , where a method that actively excites the wheel torque has been studied . We have shown that it is possible to excite the wheel torque in a way that does not affect ride comfort but allows friction to be estimated . Furthermore , the project has demonstrated how to excite optimal in the sense that minimize the estimation error . By increasing the quality of road friction estimate it is possible to perform autonomous brake intervention earlier for collision avoidance systems and thereby reducing injury levels . Enabling self-driving cars, where it is necessary to know road friction. Utilizing opportunities for electric powertrain and thereby contribute to customer value. -Math modeling of the vehicle and its components. -Signal processing of sensor data from vehicles such accelerometers. -Design of estimators for vehicle parameters. -Experiments with several different test cars on courses of action. -Simulation , analysis. -Write articles, present results at conferences.
Expected results and effects
By increasing the quality of road friction estimate it is possible to perform autonomous brake intervention earlier for collision avoidance systems and thereby reducing injury levels . Enabling self-driving cars, where it is necessary to know road friction. Utilizing opportunities for electric powertrain and thereby contribute to customer value.
Planned approach and implementation
-Math modeling of the vehicle and its components. -Signal processing of sensor data from vehicles such accelerometers. -Design of estimators for vehicle parameters. -Experiments with several different test cars on courses of action. -Simulation , analysis. -Write articles, present results at conferences.