An optimal control strategy based on a discrete energy function, for single-phase AC/DC converters used in plug-in electric vehicles

2012 ◽  
Author(s):  
M. Pahlevaninezhad ◽  
S. Eren ◽  
A. Bakhshai ◽  
P. Jain
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Energy Function ◽  
Single Phase ◽  
Optimal Control Strategy ◽  
Discrete Energy

scholarly journals An optimal control strategy design for plug-in hybrid electric vehicles based on internet of vehicles

Energy ◽  
2021 ◽  
Vol 228 ◽  
pp. 120631
Author(s):  
Yuanjian Zhang ◽  
Yonggang Liu ◽  
Yanjun Huang ◽  
Zheng Chen ◽  
Guang Li ◽  
...  
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Optimal Control Strategy ◽  
Internet Of Vehicles ◽  
Hybrid Electric ◽  
Strategy Design

scholarly journals Optimal Control Strategy for Parallel Plug-In Hybrid Electric Vehicles Based on Dynamic Programming

2021 ◽  
Vol 12 (2) ◽  
pp. 85
Author(s):  
Ying Tian ◽  
Jiaqi Liu ◽  
Qiangqiang Yao ◽  
Kai Liu
Keyword(s):  
Optimal Control ◽  
Dynamic Programming ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Dynamic Programming Algorithm ◽  
Programming Algorithm ◽  
Optimal Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

In this paper, the dynamic programming algorithm is applied to the control strategy design of parallel hybrid electric vehicles. Based on MATLAB/Simulink software, the key component model and controller model of the parallel hybrid system are established, and an offline simulation platform is built. Based on the platform, the global optimal control strategy based on the dynamic programming algorithm is studied. The torque distribution rules and shifting rules are analyzed, and the optimal control strategy is adopted to design the control strategy, which effectively improves the fuel economy of plug-in hybrid electric vehicles. The fuel consumption rate of this parallel hybrid electric vehicle is based on china city bus cycle (CCBC) condition.

scholarly journals Research on ISFLA-Based Optimal Control Strategy for the Coordinated Charging of EV Battery Swap Station

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Xueliang Huang ◽  
Hao Qiang ◽  
Qidong Zhang ◽  
Haijuan Li
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Optimization Method ◽  
Shuffled Frog Leaping Algorithm ◽  
Optimal Control Strategy ◽  
Load Fluctuation ◽  
Shuffled Frog Leaping ◽  
Coordinated Charging ◽  
Daily Load

As an important component of the smart grid, electric vehicles (EVs) could be a good measure against energy shortages and environmental pollution. A main way of energy supply to EVs is to swap battery from the swap station. Based on the characteristics of EV battery swap station, the coordinated charging optimal control strategy is investigated to smooth the load fluctuation. Shuffled frog leaping algorithm (SFLA) is an optimization method inspired by the memetic evolution of a group of frogs when seeking food. An improved shuffled frog leaping algorithm (ISFLA) with the reflecting method to deal with the boundary constraint is proposed to obtain the solution of the optimal control strategy for coordinated charging. Based on the daily load of a certain area, the numerical simulations including the comparison of PSO and ISFLA are carried out and the results show that the presented ISFLA can effectively lower the peak-valley difference and smooth the load profile with the faster convergence rate and higher convergence precision.

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