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Title: Inductive Power Transfer System For Wireless Battery Charging
Authors: IAM, IO WA(任耀華)
HOI, IOK U(許旭宇)
Department: Department of Electrical and Computer Engineering
Faculty: Faculty of Science and Technology
Issue Date: 2020
Citation: Iam, I. W., Hoi, I. U. (2020). Inductive Power Transfer System For Wireless Battery Charging (Outstanding Academic Papers by Students (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository.
Abstract: Nowadays, inductive power transfer (IPT) system has been commonly used for wireless battery charging, which transfers power via magnetic coupling between the transmitter-side and the receiver-side. That also achieve the typical charging profile, constant current (CC) charging stage and constant voltage (CV) charging stage. Compared with traditional conductive charger, an IPT system can deliver power over an air gap instead of using plugs and cables, avoiding unsafe issues of electric damage and shock. However, it is still a problem that how to provide a more stable and efficient battery charging process. This report is firstly to do the analysis about various control modulations for CC charging and Particle Swarm Optimization based modulation design for CV charging in PSCAD and MATLAB. And even, it proposes a static charging system and a control strategy for efficient static charging. One is “Self-Contained Solar-Powered Inductive Power Transfer System” which combines the renewable energy and the other one is “Constant-Frequency and NonCommunication-Based Inductive Power Transfer”. In addition, both proposed control strategies have been verified in a 1-kW experimental platform of the single-stage Series-Series (SS) compensation topology. Moreover, the charger of a demonstrated mini electric vehicle has been initially remodeled by a dynamic wireless charger which applies the high order compensation topology.
Instructor: Dr. Chi-Seng Lam
Dr. Zhicong Huang
Programme: Bachelor of Science in Electrical and Computer Engineering
Appears in Collections:FST OAPS 2020

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