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In this paper, a Nonlinear Model Predictive Control (NMPC) is applied for a torque demand control for speed tracking of vehicles with a variable valve lift engine. The engine control must satisfy various constraints, e.g., actuator limitations, drivability and A/F ratio, etc. Therefore, we apply NMPC based on a collocation method which can handle the constraints explicitly. Moreover, a fuel injection...
The paper presents aspects concerning the modeling and driving scenarios of a class of vehicular power train systems. The modeling includes an analysis of the system components which include the spark-ignition internal combustion engine, the torque converter, the metal V-belt type continuously variable transmission and the wheels. Four driving scenarios are illustrated by digital simulation results:...
In this paper, a model predictive control (MPC) strategy is developed for the first time to solve the optimal energy management problem of power-split hybrid electric vehicles. A power-split hybrid combines the advantages of series and parallel hybrids by utilizing two electric machines and a combustion engine. Because of its many modes of operation, modeling a power-split configuration is complex...
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