TY  - EJOU
AU  - Zhao, Guo 
AU  - Guo, Jiang 
AU  - Qiang, Hao 

TI  - Research on SFLA-Based Bidirectional Coordinated Control Strategy for EV Battery Swapping Station
T2  - Computers, Materials \& Continua

PY  - 2017
VL  - 53
IS  - 4
SN  - 1546-2226

AB  - 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.
KW  - SFLA
KW  -  bidirectional coordinated control
KW  -  battery swapping station
KW  -  optimization

DO  - 10.3970/cmc.2017.053.343