The current developments for the energy supply of individual mobility are emerging electrical energy as an energy source for electric drives. Due to these developments there is a need of considering the conditioning of electrical energy to be used for electrical machines under conditions of an electric vehicle. Comparing a fixed step-size control-system with a hysteresis-control (bang-bang-control), the high frequent influence to the whole power train is evaluated with a view to the electrical and mechanical drive train. Furthermore the travelling comfort is a target of the study.

As electrical drives for electric vehicles need to have a wide speed range and likewise be robust the chosen control processes are applied to a permanent magnet excited synchronous machine (PMSM). This offers the opportunity of a gear-less drive. This by the way offers a big advantage in comparison to combustion engines. To connect the energy source to the PMSM an inverter is used. This builds three-phases for the machine and likewise a rectifier in the opposed direction to the battery. The Inverter is built with a set of IGBTs (Insulated Gate Bipolar Transistor) and integrated anti parallel diodes. The command signal is set by a torque demand, as known in a traditional car, with the help of an acceleration pedal. The mechanical part of the drive train is realized as a double oscillator as this represents the real mechanical drive train.

 This paper proposes a tire traction force control scheme which effectively deals with the highly nonlinear and uncertain tire-road interaction, and variations in road conditions. Moreover, the proposed control scheme is based on robust estimations of traction forces; therefore, unlike the slip ratio-based methods, achievement of desired traction forces is guaranteed by the proposed control scheme. Then simulations are conducted for verification. The results show that the performance of traction force estimation and control is satisfactory, even under the conditions of suddenly changed tire road friction-coefficients and mismatched tire models for controller design and simulations.

 The paper proposes a control design method based on a variable-geometry suspension system applied in a driver assistance system. During maneuvers an autonomous control system modifies the camber angle of the front wheels by using the variable-geometry system in order to improve road stability. The control system guarantees various crucial performances which are related to the chassis roll angle and half-track change. Moreover, by changing the camber angle of the front wheels the yaw rate of the vehicle is modified, which can be used to reduce the tracking error from the reference yaw rate. Thus, with the reconfiguration of the camber angle, the variable-geometry system can also be used as a driver assistance system. The design of a reconfigurable suspension system is based on robust LPV methods, which meet the performance specifications and guarantee robustness against model uncertainties. The operation of the control system is illustrated through different vehicle maneuvers.

 This paper deals with the problem of observer design for vehicle lateral dynamics. The nonlinear model of this last is transformed into Takagi-Sugeno (T-S) formulation by using the sector nonlinearity transformation. The main contribution of this paper is the representation of the vehicle nonlinear model by a T-S model with minimal loss of information (almost exact T-S model). This inevitably leads to a model with unmeasurable premise variables which is more difficult to study compared to the classical T-S models where premise variables are assumed to be measurable even if this is not really true as their are often estimated. The second contribution of this paper is the observer design for estimating the lateral dynamics of the vehicle. Stability conditions are established using a Lyapunov method and the concept of Input-To-State Stability (ISS). These conditions are then expressed in terms of optimization problem subject to LMI constraints. Simulation results are provided to illustrate the proposed approach, where the observer is synthesized with a T-S model and then applied directly to the nonlinear model of the vehicle. Some aspects of the robustness of the observer, with respect to time varying longitudinal velocity and measurement noise, are discussed.

 A new and more efficient version of a previous algorithm based upon guardian maps to synthetize output feedback control laws is proposed in this paper. Explicit gradient calculations are used to implement well-known quasi-Newton methods, in particular BFGS method. The new algorithm proves more efficient and less computational demanding than its previous version. It is successfully applied to design launcher vehicle attitude control laws.