scholarly journals Real-Time Optimal Scheduling of Large-Scale Electric Vehicles: A Dynamic Non-Cooperative Game Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 133633-133644
Author(s):  
Lvpeng Chen ◽  
Tao Yu ◽  
Yongxiang Chen ◽  
Weiling Guan ◽  
Ying Shi ◽  
...  
Keyword(s):  
Real Time ◽  
Cooperative Game ◽  
Electric Vehicles ◽  
Large Scale ◽  
Optimal Scheduling ◽  
Time Optimal

scholarly journals Two-Stage Optimal Scheduling Strategy for Large-Scale Electric Vehicles

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 13821-13832 ◽  
Author(s):  
Xiuyun Wang ◽  
Chao Sun ◽  
Rutian Wang ◽  
Tianyuan Wei
Keyword(s):  
Electric Vehicles ◽  
Large Scale ◽  
Optimal Scheduling ◽  
Two Stage ◽  
Scheduling Strategy

scholarly journals Real-time optimal scheduling for prosumers resilient to regulatory changes

2018 ◽  
Author(s):  
Irina Ciornei ◽  
Mihaela Albu ◽  
Mihai Sanduleac ◽  
Enrique Rodriguez-Diaz ◽  
Josep Guerrero ◽  
...  
Keyword(s):  
Real Time ◽  
Optimal Scheduling ◽  
Regulatory Changes ◽  
Time Optimal

scholarly journals Performance of a Nonlinear Real-Time Optimal Control System for HEVs/PHEVs during Car Following

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Kaijiang Yu ◽  
Junqi Yang
Keyword(s):  
Optimal Control ◽  
Real Time ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Time Optimal Control ◽  
Management Problem ◽  
Control Approach ◽  
Car Following ◽  
Time Optimal ◽  
Optimal Control Approach

This paper presents a real-time optimal control approach for the energy management problem of hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs) with slope information during car following. The new features of this study are as follows. First, the proposed method can optimize the engine operating points and the driving profile simultaneously. Second, the proposed method gives the freedom of vehicle spacing between the preceding vehicle and the host vehicle. Third, using the HEV/PHEV property, the desired battery state of charge is designed according to the road slopes for better recuperation of free braking energy. Fourth, all of the vehicle operating modes engine charge, electric vehicle, motor assist and electric continuously variable transmission, and regenerative braking, can be realized using the proposed real-time optimal control approach. Computer simulation results are shown among the nonlinear real-time optimal control approach and the ADVISOR rule-based approach. The conclusion is that the nonlinear real-time optimal control approach is effective for the energy management problem of the HEV/PHEV system during car following.

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