… control [41]. This method showed that the predictive control is capable of the direct control of
… A model predictive current control (MPCC) algorithm tracks the phase currents based on the …

… In this last section the proposed control algorithm is tested in simulation and compared
with a classical benchmark solution for slip control in ABS. We specify that the ABS activation …

… or regenerative braking. A power-split device (PSD), which contains a planetary gear set. …
kinetic energy for the dynamic programming algorithm, So, the control inputs Tice and Tem are …

… study, a nonlinear model predictive control (NMPC) design … benchmarked against currently
applied industrial controller. … -known PID algorithms up to complex hybrid control methods. …

… benchmarking pre-emptive PID controller. The algorithms are demonstrated on an EV prototype
with hydraulically actuated brakes (… Four NMPC ABS algorithms have been developed in …

… Furthermore, a rule-based regenerative braking strategy is … friction braking is used whenever
the required braking power … of a geneticalgorithm-based nonlinear model predictive control …

… algorithms. An implementation of a daisy chain for cooperative braking control of hybrid EVs
… only, neglecting the fast motor dynamics for improved slip control. In order to achieve both, …

… the KWIK algorithm [45]. The latter is a built-in QP solver from the Model Predictive Toolbox
… applied force on the brake pedal F b r r w while its single output is the braking torque of the …

… 94% fuel economy of the DP benchmark [27]. Due to the … on MPC and estimation of
distribution algorithm (EDA) as the … operate as a generator during regenerative braking, which is …

… used optimal control algorithm for powertrain control is DP. … it is primarily used as a benchmark
or in the design phase [5], … as well as regenerative braking is decided by the value of α. …