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Research on SFLA-Based Bidirectional Coordinated Control Strategy for EV Battery Swapping Station

Guo Zhao1,2, Jiang Guo1,2, Hao Qiang3

Key Laboratory of Hydraulic Machinery Transients (Wuhan University), Ministry of Educationy, Wuhan 430072, China.
School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
School of Urban Rail Transit, Changzhou University, Changzhou 213164, China.

Computers, Materials & Continua 2017, 53(4), 343-356.


As a good measure to tackle the challenges from energy shortages and environmental pollution, Electric Vehicles (EVs) have entered a period of rapid growth. Battery swapping station is a very important way of energy supply to EVs, and it is urgently needed to explore a coordinated control strategy to effectively smooth the load fluctuation in order to adopt the large-scale EVs. Considering bidirectional power flow between the station and power grid, this paper proposed a SFLA-based control strategy to smooth the load profile. Finally, compared simulations were performed according to the related data. Compared to particle swarm optimization (PSO) method, the presented SFLA-based strategy can effectively lower the peak-valley difference with the faster convergence rate and higher convergence precision. It is important for the swapping station that energy exchanging mode can supply energy for large-scale EVs with a smoother load profile than one-way charging mode.


Cite This Article

G. Zhao, J. Guo and H. Qiang, "Research on sfla-based bidirectional coordinated control strategy for ev battery swapping station," Computers, Materials & Continua, vol. 53, no.4, pp. 343–356, 2017.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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