Battery swapping has become one of the most important ways to supply energy to electric vehicles (EVs)
since it takes a very short time to replace fully recharged EV battery (EVB) packs and is convenient to manage. It leads to growing market penetration of the EVs to develop the battery swapping station (BSS). The optimal capacity configuration of electric vehicle battery swapping station
which is able to recharge the depleted EVB packs locally
is studied. Firstly
the system structure of the swapping station system as well as the operation strategy of “charge and swap” is described and two evaluation indices of service availability are proposed. Secondly
the timing simulation model for swapping station operation states is analyzed. According to the output of the model
service availability indices are calculated. A mathematical model is developed
with the equipment annual cost as the objective function and the scale and service availability as the constraints. The differential evolution (DE) algorithm is used to solve the mathematical model. Finally
the optimal configuration of a case in point is made. With two different days’ swapping demand randomly taken
the indices of swapping service availability are calculated and the state of the BSS in each period is analyzed. And the sensitivity of the result of configuration is briefly treated.
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Related Author
YAN Gangui
SHA Qianli
LI Junhui
ZHAN Shuo
LI Yongyue
QIAO Xin
JI Xingquan
JIANG Haiyang
Related Institution
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
College of Electrical Engineering and Automation, Shandong University of Science and Technology
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)
Shandong Senter Electronic Co., Ltd.
State Key Laboratory of Maritime Technology and Safety (Wuhan University of Technology)