摘要翻译：
提供充足的充电基础设施对电动汽车的快速发展起着至关重要的作用。容易进入这种基础设施将消除关于有限电动汽车移动范围的各种障碍。电池交换站(BSS)是为电动汽车供电的有效方法，同时减少了电池充电站(BCS)的长等待时间。与BCS相比，BSS提前为电池充电，并在相当短的时间内准备更换电池。考虑到这些电站可以作为电动汽车所有者和电力系统之间的中间实体，它们可能为电力系统提供独特的利益。本文从多个角度探讨了构建BSS的优势。在此基础上，提出了一个站主角度的蓄电池充电调度模型。通过一个实例说明了该模型将如何通过规划电池充电时间来帮助BSS所有者管理其资产。
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英文标题：
《Electric Vehicle Battery Swapping Station》
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作者：
Mohsen Mahoor, Zohreh S. Hosseini, Amin Khodaei, and D. Kushner
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Providing adequate charging infrastructure plays a momentous role in rapid proliferation of Electric Vehicles (EVs). Easy access to such infrastructure would remove various obstacles regarding limited EV mobility range. A Battery Swapping Station (BSS) is an effective approach in supplying power to the EVs, while mitigating long waiting times in a Battery Charging Station (BCS). In contrast with the BCS, the BSS charges the batteries in advance and prepares them to be swapped in a considerably short time. Considering that these stations can serve as an intermediate entity between the EV owners and the power system, they can potentially provide unique benefits to the power system. This paper investigates the advantages of building the BSS from various perspectives. Accordingly, a model for the scheduling of battery charging from the station owner perspective is proposed. An illustrative example is provided to show how the proposed model would help BSS owners in managing their assets through scheduling battery charging time.
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PDF链接：
https://arxiv.org/pdf/1710.06895