Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System

Xin Gao; Shijie Cong; Shaoshuan Qi; Yonghao Zhu; Shuya Chen; Yan Yan; Jiantao Zhang; Chunbo Zhu

doi:10.1007/978-981-95-7936-5_58

Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System

Xin Gao
, Shijie Cong
, Shaoshuan Qi
, Yonghao Zhu
, Shuya Chen
, Yan Yan
, Jiantao Zhang
, Chunbo Zhu^*

^*Corresponding author for this work

School of Electrical Engineering and Automation

School of Electrical Engineering and Automation, Harbin Institute of Technology
Harbin Institute of Technology
China Shandong International Economic and Technical Cooperation Group Ltd

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Optimizing the core structure at the receiver end of a wireless power transfer magnetic coupler significantly impacts its power density and system efficiency. The patterns in the ferrite structure of the Double-DD magnetic coupler remain largely unexplored. This paper reveals for the first time how the mutual inductance of the Double-DD magnetic coupler is affected by the number of magnetic cores, breaking the inherent impression that the mutual inductance is maximum when the magnetic cores are fully packed. Deep reinforcement learning (DRL) was used to optimize the core at the receiving end of the Double-DD magnetic coupler. A 20 kW prototype and experimental platform were constructed for verification. Compared to a conventional fully-filled core structure, the optimized receiver end achieved an 11.4% reduction in core volume and a 1.2% increase in mutual inductance, while maintaining essentially unchanged output power and efficiency.

Original language	English
Title of host publication	Proceedings of the 2nd Electrical Artificial Intelligence Conference, Volume 2 - EAIC 2025
Editors	Gang Mu, Zhengxiang Song, Zhiming Ding, Li Han
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	735-747
Number of pages	13
ISBN (Print)	9789819579358
DOIs	https://doi.org/10.1007/978-981-95-7936-5_58
State	Published - 2026
Event	2nd Electrical Artificial Intelligence Conference, EAIC 2025 - Nanjing, China Duration: 3 Nov 2025 → 5 Nov 2025

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1588 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2nd Electrical Artificial Intelligence Conference, EAIC 2025
Country/Territory	China
City	Nanjing
Period	3/11/25 → 5/11/25

Keywords

Deep reinforcement learning
Magnetic core structure optimization
Power density
Wireless power transmission

Access to Document

10.1007/978-981-95-7936-5_58

Cite this

Gao, X., Cong, S., Qi, S., Zhu, Y., Chen, S., Yan, Y., Zhang, J., & Zhu, C. (2026). Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System. In G. Mu, Z. Song, Z. Ding, & L. Han (Eds.), Proceedings of the 2nd Electrical Artificial Intelligence Conference, Volume 2 - EAIC 2025 (pp. 735-747). (Lecture Notes in Electrical Engineering; Vol. 1588 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-95-7936-5_58

Gao, Xin ; Cong, Shijie ; Qi, Shaoshuan et al. / Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System. Proceedings of the 2nd Electrical Artificial Intelligence Conference, Volume 2 - EAIC 2025. editor / Gang Mu ; Zhengxiang Song ; Zhiming Ding ; Li Han. Springer Science and Business Media Deutschland GmbH, 2026. pp. 735-747 (Lecture Notes in Electrical Engineering).

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title = "Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System",

abstract = "Optimizing the core structure at the receiver end of a wireless power transfer magnetic coupler significantly impacts its power density and system efficiency. The patterns in the ferrite structure of the Double-DD magnetic coupler remain largely unexplored. This paper reveals for the first time how the mutual inductance of the Double-DD magnetic coupler is affected by the number of magnetic cores, breaking the inherent impression that the mutual inductance is maximum when the magnetic cores are fully packed. Deep reinforcement learning (DRL) was used to optimize the core at the receiving end of the Double-DD magnetic coupler. A 20 kW prototype and experimental platform were constructed for verification. Compared to a conventional fully-filled core structure, the optimized receiver end achieved an 11.4\% reduction in core volume and a 1.2\% increase in mutual inductance, while maintaining essentially unchanged output power and efficiency.",

keywords = "Deep reinforcement learning, Magnetic core structure optimization, Power density, Wireless power transmission",

author = "Xin Gao and Shijie Cong and Shaoshuan Qi and Yonghao Zhu and Shuya Chen and Yan Yan and Jiantao Zhang and Chunbo Zhu",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 2nd Electrical Artificial Intelligence Conference, EAIC 2025 ; Conference date: 03-11-2025 Through 05-11-2025",

year = "2026",

doi = "10.1007/978-981-95-7936-5\_58",

language = "英语",

isbn = "9789819579358",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "735--747",

editor = "Gang Mu and Zhengxiang Song and Zhiming Ding and Li Han",

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}

Gao, X, Cong, S, Qi, S, Zhu, Y, Chen, S, Yan, Y, Zhang, J & Zhu, C 2026, Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System. in G Mu, Z Song, Z Ding & L Han (eds), Proceedings of the 2nd Electrical Artificial Intelligence Conference, Volume 2 - EAIC 2025. Lecture Notes in Electrical Engineering, vol. 1588 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 735-747, 2nd Electrical Artificial Intelligence Conference, EAIC 2025, Nanjing, China, 3/11/25. https://doi.org/10.1007/978-981-95-7936-5_58

Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System. / Gao, Xin; Cong, Shijie; Qi, Shaoshuan et al.
Proceedings of the 2nd Electrical Artificial Intelligence Conference, Volume 2 - EAIC 2025. ed. / Gang Mu; Zhengxiang Song; Zhiming Ding; Li Han. Springer Science and Business Media Deutschland GmbH, 2026. p. 735-747 (Lecture Notes in Electrical Engineering; Vol. 1588 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System

AU - Gao, Xin

AU - Cong, Shijie

AU - Qi, Shaoshuan

AU - Zhu, Yonghao

AU - Chen, Shuya

AU - Yan, Yan

AU - Zhang, Jiantao

AU - Zhu, Chunbo

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.

PY - 2026

Y1 - 2026

N2 - Optimizing the core structure at the receiver end of a wireless power transfer magnetic coupler significantly impacts its power density and system efficiency. The patterns in the ferrite structure of the Double-DD magnetic coupler remain largely unexplored. This paper reveals for the first time how the mutual inductance of the Double-DD magnetic coupler is affected by the number of magnetic cores, breaking the inherent impression that the mutual inductance is maximum when the magnetic cores are fully packed. Deep reinforcement learning (DRL) was used to optimize the core at the receiving end of the Double-DD magnetic coupler. A 20 kW prototype and experimental platform were constructed for verification. Compared to a conventional fully-filled core structure, the optimized receiver end achieved an 11.4% reduction in core volume and a 1.2% increase in mutual inductance, while maintaining essentially unchanged output power and efficiency.

AB - Optimizing the core structure at the receiver end of a wireless power transfer magnetic coupler significantly impacts its power density and system efficiency. The patterns in the ferrite structure of the Double-DD magnetic coupler remain largely unexplored. This paper reveals for the first time how the mutual inductance of the Double-DD magnetic coupler is affected by the number of magnetic cores, breaking the inherent impression that the mutual inductance is maximum when the magnetic cores are fully packed. Deep reinforcement learning (DRL) was used to optimize the core at the receiving end of the Double-DD magnetic coupler. A 20 kW prototype and experimental platform were constructed for verification. Compared to a conventional fully-filled core structure, the optimized receiver end achieved an 11.4% reduction in core volume and a 1.2% increase in mutual inductance, while maintaining essentially unchanged output power and efficiency.

KW - Deep reinforcement learning

KW - Magnetic core structure optimization

KW - Power density

KW - Wireless power transmission

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DO - 10.1007/978-981-95-7936-5_58

M3 - 会议稿件

AN - SCOPUS:105041163972

SN - 9789819579358

T3 - Lecture Notes in Electrical Engineering

SP - 735

EP - 747

BT - Proceedings of the 2nd Electrical Artificial Intelligence Conference, Volume 2 - EAIC 2025

A2 - Mu, Gang

A2 - Song, Zhengxiang

A2 - Ding, Zhiming

A2 - Han, Li

PB - Springer Science and Business Media Deutschland GmbH

T2 - 2nd Electrical Artificial Intelligence Conference, EAIC 2025

Y2 - 3 November 2025 through 5 November 2025

ER -

Gao X, Cong S, Qi S, Zhu Y, Chen S, Yan Y et al. Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System. In Mu G, Song Z, Ding Z, Han L, editors, Proceedings of the 2nd Electrical Artificial Intelligence Conference, Volume 2 - EAIC 2025. Springer Science and Business Media Deutschland GmbH. 2026. p. 735-747. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-95-7936-5_58

Research on the Core Structure of Double-DD Type Receiver Based on Dynamic Wireless Power Transfer System

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