Optimizing torque vectoring strategies for an electric vehicle concept

As part of the internship project carried out at Daimler AG, this report describes the application and optimization of torque vectoring on a research vehicle based on the Mercedes- Benz SLS AMG E-CELL. A concise introduction is given regarding the MATLAB scripts and Simulink models that were used during the project. The main principles of torque vectoring are explained, after which three currently used torque vectoring control strategies are introduced, including the strategy which is applied during the internship project. To analyze and optimize torque vectoring strategies, various driving maneuvers can be performed. The most used maneuvers are introduced and an explanation is given about what kind of properties can be investigated by performing a specic maneuver. Due to the condential nature of the research project, a global introduction is given about how torque vectoring is applied during this research project, by means of explaining some basic characteristics and input-output relationships. Then, without going into detail, the in uences of torque vectoring in general and the in uence of some basic control parameters are explained by means of discussing graphical results obtained by simulating driving maneuvers. Finally, Daimler's driving simulator is introduced and the maneuvers that were performed in the simulator are explained. Furthermore, some global observations regarding the in uence of torque vectoring in 'real-life', based on performing various driving maneuvers in the simulator, are propagated.