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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...
Swapping modularity refers to the use of common units to create product variants. As companies strive to rationalize engineering design, manufacturing and maintain processes, modularity is becoming a priority. Component swapping modularity in control systems can be achieved by utilizing ldquosmartrdquo components which can perform control actions within the module, and bidirectional network communication...
The paper develops a class of on-line parameter identification algorithms for single input single output (SISO) linear time delay systems with known time-delays. The treatment of time-delays is important for many applications, including automotive powertrain control. There system identification algorithms can facilitate the off-line calibration of feedforward and feedback parameters as well as the...
This paper illustrates the application of hybrid modeling and model predictive control techniques to the management of air-to-fuel ratio and torque in advanced technology gasoline direct-injection stratified-charge (DISC) engines. A DISC engine is an example of a constrained hybrid dynamical system, because it can operate in two distinct modes (stratified and homogeneous) and because the mode-dependent...
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