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Bidragets oversatte titel: Predictive control strategy for power management in parallel hybrid-electric vehicle

Mohammad Taqi Nodeh, Hossein Gholizade, Amin Hajizadeh

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Abstrakt

In this paper, a hybrid model-based nonlinear optimal control method is used to compute the optimal power distribution and power management in parallel hybrid electric vehicles. In the power management strategy, for optimal power distribution between the internal combustion engine, electrical system and the other subsystems, nonlinear predictive control is applied. In order to achieve this goal, a hierarchical control structure is utilized. This type of control structure consists of three levels of monitoring, coordinating and local controllers. Nonlinear modeling and performance index in the proposed method should be formulated at the regulatory level of the controller. Discrete dynamic mode of operation (motor-generator) in hybrid electric vehicle requires to use a dual-mode switch model and to define an alternative expression of performance index for the optimal control problem. In the performance index, tracking error penalty, fuel consumption, friction losses and the maintenance of the battery charge has been included. Optimization of performance index is performed by the theory of nonlinear model predictive control using numerical methods.
Bidragets oversatte titelPredictive control strategy for power management in parallel hybrid-electric vehicle
OriginalsprogFarsi
TidsskriftJournal of Iranian Association of Electrical and Electronics Engineers
Vol/bind13
Udgave nummer3
Antal sider8
StatusUdgivet - okt. 2016

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