Collaborative optimization method of power and efficiency for LCC-S wireless power transmission system

Ming Xue; Qingxin Yang; Chunzhi Li; Pengcheng Zhang; Shuting Ma; Xin Zhang

doi:10.3390/electronics10243088

Collaborative optimization method of power and efficiency for LCC-S wireless power transmission system

Ming Xue^*
, Qingxin Yang
, Chunzhi Li
, Pengcheng Zhang
, Shuting Ma
, Xin Zhang

^*Corresponding author for this work

Hebei University of Technology
Tiangong University

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Dynamic wireless charging enables moving equipment such as electric vehicles, robots to be charged in motion, and thus is a research hotspot. The applications in practice, however, suffer from mutual inductance fluctuation due to unavoidable environmental disturbances. In addition, the load also changes during operation, which makes the problem more complicated. This paper analyzes the impacts of equivalent load and mutual inductances variation over the system by LCC-S topology modeling utilizing two-port theory. The optimal load expression is derived. Moreover, a double-sided control strategy enabling optimal efficiency and power adjustment is proposed. Voltage conducting angles on the inverter and rectifier are introduced. The simulation and experimental results verify the proposed method.

Original language	English
Article number	3088
Journal	Electronics (Switzerland)
Volume	10
Issue number	24
DOIs	https://doi.org/10.3390/electronics10243088
State	Published - 1 Dec 2021
Externally published	Yes

Keywords

Dynamic wireless power transmission
Efficiency optimization
Parameter identification
Particle swarm algorithm
Power control

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10.3390/electronics10243088

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title = "Collaborative optimization method of power and efficiency for LCC-S wireless power transmission system",

abstract = "Dynamic wireless charging enables moving equipment such as electric vehicles, robots to be charged in motion, and thus is a research hotspot. The applications in practice, however, suffer from mutual inductance fluctuation due to unavoidable environmental disturbances. In addition, the load also changes during operation, which makes the problem more complicated. This paper analyzes the impacts of equivalent load and mutual inductances variation over the system by LCC-S topology modeling utilizing two-port theory. The optimal load expression is derived. Moreover, a double-sided control strategy enabling optimal efficiency and power adjustment is proposed. Voltage conducting angles on the inverter and rectifier are introduced. The simulation and experimental results verify the proposed method.",

keywords = "Dynamic wireless power transmission, Efficiency optimization, Parameter identification, Particle swarm algorithm, Power control",

author = "Ming Xue and Qingxin Yang and Chunzhi Li and Pengcheng Zhang and Shuting Ma and Xin Zhang",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = dec,

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doi = "10.3390/electronics10243088",

language = "英语",

volume = "10",

journal = "Electronics (Switzerland)",

issn = "2079-9292",

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TY - JOUR

T1 - Collaborative optimization method of power and efficiency for LCC-S wireless power transmission system

AU - Xue, Ming

AU - Yang, Qingxin

AU - Li, Chunzhi

AU - Zhang, Pengcheng

AU - Ma, Shuting

AU - Zhang, Xin

PY - 2021/12/1

Y1 - 2021/12/1

N2 - Dynamic wireless charging enables moving equipment such as electric vehicles, robots to be charged in motion, and thus is a research hotspot. The applications in practice, however, suffer from mutual inductance fluctuation due to unavoidable environmental disturbances. In addition, the load also changes during operation, which makes the problem more complicated. This paper analyzes the impacts of equivalent load and mutual inductances variation over the system by LCC-S topology modeling utilizing two-port theory. The optimal load expression is derived. Moreover, a double-sided control strategy enabling optimal efficiency and power adjustment is proposed. Voltage conducting angles on the inverter and rectifier are introduced. The simulation and experimental results verify the proposed method.

AB - Dynamic wireless charging enables moving equipment such as electric vehicles, robots to be charged in motion, and thus is a research hotspot. The applications in practice, however, suffer from mutual inductance fluctuation due to unavoidable environmental disturbances. In addition, the load also changes during operation, which makes the problem more complicated. This paper analyzes the impacts of equivalent load and mutual inductances variation over the system by LCC-S topology modeling utilizing two-port theory. The optimal load expression is derived. Moreover, a double-sided control strategy enabling optimal efficiency and power adjustment is proposed. Voltage conducting angles on the inverter and rectifier are introduced. The simulation and experimental results verify the proposed method.

KW - Dynamic wireless power transmission

KW - Efficiency optimization

KW - Parameter identification

KW - Particle swarm algorithm

KW - Power control

UR - https://www.scopus.com/pages/publications/85121033586

U2 - 10.3390/electronics10243088

DO - 10.3390/electronics10243088

M3 - 文章

AN - SCOPUS:85121033586

SN - 2079-9292

VL - 10

JO - Electronics (Switzerland)

JF - Electronics (Switzerland)

IS - 24

M1 - 3088

ER -

Collaborative optimization method of power and efficiency for LCC-S wireless power transmission system

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Keywords

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