Dynamic Process Analysis and Voltage Stabilization Control of Multi-Load Wireless Power Supply System

Author:

Fan Shujing,Liu Zhizhen,Feng Guowen,Ali NaghmashORCID,Hou Yanjin

Abstract

At present, wireless power supply technology has gradually attracted people’s attention due to its safety, convenience, and portability. It has become one of the development trends of power supply for future technologies such as electric vehicles. In many engineering applications, inductive wireless power supply systems need to supply power to multiple loads at the same time. Therefore, it is necessary to analyze the dynamic process of the multiload system. This paper first selects the optimal compensation network according to the stable operating conditions of the multiload system. Secondly, in order to classify and describe the movement state of the load in the dynamic process, the simulation model is established on the MATLAB/SIMULINK platform to analyze the influence of the mutual inductance or resistance of any load on the output characteristics of the primary system and other loads. Then, in order to solve the problem of unstable output voltage used by multiple loads entering the same track at the same time or load resistance changes, this paper adopts a secondary side control strategy. The duty cycle of the Buck circuit is adjusted by the fixed frequency PWM sliding mode controller (PWMSMC), so as to realize the independent control of each load. Finally, an experimental platform was established to verify the correctness of the theoretical analysis.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Reference18 articles.

1. Research review and prospect of intelligent dynamic wireless charging system for electric vehicles;Su;Chin. J. Intell. Sci. Technol.,2020

2. Dynamic Wireless Charging Power Control of Electric Vehicle Based on Neural Network;Zhang;Automob. Technol.,2017

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