Open Access

ARTICLE

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

Guo Zhao^1,2, Jiang Guo^1,2, Hao Qiang³

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

Computers, Materials & Continua 2017, 53(4), 343-356. https://doi.org/10.3970/cmc.2017.053.343

Abstract

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.

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Keywords

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