Vehicle Electrification: Technologies, Challenges, and a Global Perspective for Smart Grids

V. Monteiro, Jose A. Afonso, Tiago J.C. Sousa, Luiz L. Cardoso, Jose Gabriel Pinto, Joao L. Afonso
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引用次数: 3

Abstract

Nowadays, due to economic and climate concerns, the private transportation sector is shifting for the vehicle electrification. For this new reality, new challenges about operation modes are emerging, demanding a cooperative and dynamic operation with the power grid, guaranteeing a stable integration without omitting the power quality. Besides, new attractive and complementary technologies are offered by the vehicle electrification in the context of smart grids, valid for both on board and off board systems. In this perspective, this book chapter presents a global perspective and deals with challenges for the vehicle electrification, covering the key technologies toward a sustainable future. Among others, the flowing topics are covered: (1) Overview of battery charging systems, including on board and off board systems; (2) State of the art of communication technologies for application in the context of vehicular electrification, smart grids and smart homes; (3) Challenges and opportunities concerning wireless power transfer with bidirectional interface to the electrical grid; (4) Future perspectives about bidirectional power transfer between electric vehicles (vehicle to vehicle operation mode); (5) Unified technologies, allowing to combine functionalities of a bidirectional interface with the electrical grid and motor driver based on a single system; and (6) Smart grids and smart homes scenarios and accessible opportunities about operation modes.
汽车电气化:智能电网的技术、挑战和全球视角
如今,由于经济和气候方面的考虑,私人交通部门正在转向汽车电气化。面对这一新的现实,对运行方式提出了新的挑战,要求与电网合作、动态运行,在保证稳定并网的同时不遗漏电能质量。此外,在智能电网背景下,汽车电气化提供了新的有吸引力的互补技术,适用于车载和车载系统。从这个角度来看,这本书的章节提出了一个全球的视角,并处理汽车电气化的挑战,涵盖了迈向可持续未来的关键技术。其中,流动主题涵盖:(1)电池充电系统概述,包括车载和车载系统;(2)汽车电气化、智能电网、智能家居等领域的通信技术现状;(3)双向接口无线输电网面临的挑战与机遇;(4)电动汽车双向动力传输(车对车运行模式)的未来展望;(5)统一技术,允许基于单一系统将双向接口与电网和电机驱动器的功能结合起来;(6)智能电网和智能家居运行模式的场景和可及机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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