Dynamic Wireless Charging System for Electrical Vehicle

Cost-Effectiveness Comparison of Coupler Designs of Wireless Power Transfer for Electric Vehicle Dynamic Charging

Weitong Chen 1, Chunhua Liu 1,*, Christopher H.T. Lee 2 and Zhiqiang Shan 1 1 School of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China; [email protected] (W.C.); [email protected] (Z.S.) 2 Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; [email protected] * Correspondence: ch...

Optimal Installation for Electric Vehicle Wireless Charging Lanes

Range anxiety, the persistent worry about not having enough battery power to complete a trip, remains one of the major obstacles to widespread electric-vehicle adoption. As cities look to attract more users to adopt electric vehicles, the emergence of wireless in-motion car charging technology presents itself as a solution to range anxiety. For a limited budget, cities could face the decision p...

Simultaneous Wireless Power/Data Transfer for Electric Vehicle Charging

Utility Maximization Framework for Opportunistic Wireless Electric Vehicle Charging

236 + Text: 5432 + References: 737 + 4 tables/figures: 1000 = 7405 words Submission date: August 1, 2017 Khan, Chowdhury, Khan, Safro, Ushijima-Mwesigwa ABSTRACT The advancements in Electric Vehicle (EV) wireless charging technology have initiated substantial research on the optimal deployment of Wireless Charging Units (WCU) for dynamic charging or Charging While Driving (CWD) applications. Th...

A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations

One of the main current challenges of electric vehicles (EV) is to create a reliable, accessible 1 and comfortable charging infrastructure for the citizen that enhances the demand. In this paper, a 2 Multi-Agent System (MAS) is proposed to facilitate the analysis of different locating configurations 3 of EV charging stations. The proposed MAS integrates information from heterogeneous data sourc...