Evidence map›Paper›PMID 42907465›Full record

ArticleNature communications2026

Inductive charging systems empowered by stress-annealed nanocrystalline alloys with high induced magnetic anisotropy.

Yibo Wang, Xuesong Li, Jing Zhou, Liping Mo, Xiaosheng Wang, Ben Zhang, Ruibo Li, Tianlu Ma, Weisheng Guo, Yue Liu and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Yibo Wang *Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-2302-5684
Xuesong Li *Dongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, China.
Jing Zhou *Dongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, China.ORCID http://orcid.org/0000-0002-2816-5005
Liping MoDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Xiaosheng WangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Ben ZhangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Ruibo LiDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, China.
Tianlu MaDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Weisheng GuoDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Yue LiuDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Sheng RenDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Junhui YangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Zhaozheng ZhuDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Hao GuoDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
K T ChauDepartment of Electrical and Electronic Engineering, Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-1620-9688
Han WangDepartment of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0001-5121-3362
Yuhao ZhangDepartment of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0001-6350-4861
Grant A CovicDepartment of Electrical, Computer and Software Engineering, University of Auckland, Auckland, New Zealand.
Baoan SunDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, China.ORCID http://orcid.org/0000-0001-5306-1817
Teng LongDepartment of Engineering, University of Cambridge, Cambridge, UK. tl322@cam.ac.uk.ORCID http://orcid.org/0000-0003-4401-102X
Haiyang BaiDongguan Institute of Materials Science and Technology, Chinese Academy of Sciences, Dongguan, China. hybai@iphy.ac.cn.ORCID http://orcid.org/0000-0001-7687-7624
C Q JiangDepartment of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China. chjiang@cityu.edu.hk.ORCID http://orcid.org/0000-0001-5374-364X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The large-scale commercial deployment of autonomous electric vehicles requires automated charging solutions. Inductive charging provides an alternative but faces efficiency, power density, and thermal stability challenges associated with ferrite-based systems. Here, we report an inductive charging system utilizing Fe-based nanocrystalline alloys, developed through combined material and system-level optimization. While conventional approaches often target maximum permeability, our analysis indicates that moderate permeability aligns more effectively with system requirements. Through stress-annealing, an effective permeability of 2330 and a core loss of 135 kW/m³ (at 85 kHz, 0.2 T) are achieved. The material is subsequently fabricated into core bars via a coil-aligned lamination technique. This material-system co-design results in an inductive charger with an AC-AC efficiency of 98.51%, a volumetric power density of 9.55 kW/L (including coils and magnetic cores), and thermal stability during high-power operation. Integrating material and electrical design facilitates the development of inductive charging systems to support autonomous vehicles and electric mobility.

Identifiers

PMID42907465
PMCPMC13687111

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.