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Cooperative control strategy for plug-in hybrid electric vehicles based on a hierarchical framework with fast calculation
استراتژی کنترل تعاونی برای وسایل نقلیه برقی هیبریدی پلاگین بر اساس یک چارچوب سلسله مراتبی با محاسبه سریع-2020 Developing optimal control strategies with capability of real-time implementation for plug-in hybrid
electric vehicles (PHEVs) has drawn explosive attention. In this study, a novel hierarchical control
framework is proposed for PHEVs to achieve the instantaneous vehicle-environment cooperative control.
The mobile edge computation units (MECUs) and the on-board vehicle control units (VCUs) are included
as the distributed controllers, which enable vehicle-environment cooperative control and reduce the
computation intensity on the vehicle by transferring partial work from VCUs to MECUs. On this basis, a
novel cooperative control strategy is designed to successively achieve the energy management planned
by the iterative dynamic programming (IDP) in MECUs and the energy utilization management achieved
by the model predictive control (MPC) algorithm in the VCU. The performance of raised control strategy
is validated by simulation analysis, highlighting that the cooperative control strategy can achieve superior
performance in real-time application that is close to the global optimization results solved offline. Keywords: Cooperative control strategy | Hierarchical framework | Iterative dynamic programming (IDP) | Model predictive control (MPC) | Plug-in hybrid electric vehicles (PHEVs) |
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