Open AccessAnalysis of controllable capacity for electric vehicle battery swapping stations
Author(s) -
Xie Pingping,
Zhu Jizhong,
Xuan Peizheng
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0705
Subject(s) - battery (electricity) , queueing theory , battery capacity , computer science , energy storage , process (computing) , queue , electric vehicle , key (lock) , monte carlo method , power (physics) , automotive engineering , simulation , reliability engineering , engineering , computer network , mathematics , operating system , statistics , physics , quantum mechanics
Battery swapping is an effective way for the energy fast recharge of electric vehicles (EVs). The batteries stored in the battery swapping stations (BSSs) might be an emerging form of energy storage that can be used in the future power systems. Unlike traditional battery storage, the application of BSSs storage needs to consider the behaviour of EV users and the charging process in the BSSs. The calculation of controllable capacity (CC) plays a key role in the application of BSSs storage. This study proposes a Monte Carlo stochastic simulation method (MCSS) to estimate the CC of BSSs. The queuing problems in EV batteries swapping are simulated by the proposed MCSS method. The CC then can be obtained from the queues analysis. Simulation results demonstrate the availability of the proposed method.