@Article{cmc.2017.053.343,
AUTHOR = {Guo Zhao, Jiang Guo, Hao Qiang},
TITLE = {Research on SFLA-Based Bidirectional Coordinated Control Strategy for EV Battery Swapping Station},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {53},
YEAR = {2017},
NUMBER = {4},
PAGES = {343--356},
URL = {http://www.techscience.com/cmc/v53n4/22863},
ISSN = {1546-2226},
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.},
DOI = {10.3970/cmc.2017.053.343}
}