scholarly journals Optimal Charging and Discharging Control of Plug-in Hybrid Electric Vehicles in a System-level Power Distribution Network

2019 ◽  
Vol 1304 ◽  
pp. 012012
Author(s):  
W Li ◽  
Z Y Lin ◽  
G F Yan
2014 ◽  
Vol 543-547 ◽  
pp. 1246-1249
Author(s):  
Liang Zhang ◽  
Bin Jiao ◽  
Lei Li

The modeling method and control strategy for series hybrid electric vehicles were presented in this paper. Firstly, the system structure and operation principles are discussed systematically; and then a control strategy is proposed based on the modeling of powertrain. Control strategy focus on the multi-modes switch logic and power distribution. In the last part of this paper, the simulation made in MATLAB/Simulink was introduced, which results indicate that the model and control strategy are correct.


Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2563 ◽  
Author(s):  
Wei Li ◽  
Zhiyun Lin ◽  
Kai Cai ◽  
Hanyun Zhou ◽  
Gangfeng Yan

With the increasing popularity of plug-in hybrid electric vehicles (PHEVs), the coordinated charging of PHEVs has become an important issue in power distribution systems. This paper employs a multi-objective optimization model for coordinated charging of PHEVs in the system, in which the problem of valley filling and total cost minimization are both investigated under the system’s technical constraints. To this end, a hierarchical optimal algorithm combining the water-filling-based algorithm with the consensus-based method is proposed to solve the constrained optimization problem. Moreover, a moving horizon approach is adopted to deal with the case where PHEVs arrive and leave randomly. We show that the proposed algorithm not only enhances the stability of the power load but also achieves the global minimization of vehicle owners charging costs, and its implementation is convenient in the multi-level power distribution system integrating the physical power grid with a heterogeneous information network. Numerical simulations are presented to show the desirable performance of the proposed algorithm.


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