Evidence map›Paper›PMID 41603237›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

In-Wheel Piezoelectric DC Power Generator With Zero Resistive Torque.

Hyun Soo Kim, Hyunseok Song, In Woo Oh, Dong-Gyu Lee, Tae Kyoung Yoon, Jeyeon Lee, Byoung Jin Yoon, So-Min Song, Iman M Imani, Seohyun Cho and 10 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

20 authors.

Hyun Soo KimElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Hyunseok SongDepartment of Material Science and Engineering, Korea University, Seoul, Republic of Korea.
In Woo OhElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Dong-Gyu LeeDepartment of Material Science and Engineering, Korea University, Seoul, Republic of Korea.
Tae Kyoung YoonElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Jeyeon LeeElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Byoung Jin YoonElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
So-Min SongElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Iman M ImaniDepartment of Material Science and Engineering, Korea University, Seoul, Republic of Korea.
Seohyun ChoExtreme Materials Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Seong Jin KimExtreme Materials Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Chong-Yun KangElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Sahn NahmDepartment of Material Science and Engineering, Korea University, Seoul, Republic of Korea.
Yong Seok ParkDepartment of Mechanical Engineering, California State University, Fullerton, California, USA.
Kyung-Hoon ChoSchool of Materials Science and Engineering, Kumoh National institute of Technology, Gumi, Republic of Korea.
Jungho RyuSchool of Materials Science and Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
Jeong Min BaikElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Jun ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, California, USA.
Sunghoon HurElectronic and Hybrid Material Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-6985-5937
Hyun-Cheol SongDepartment of Material Science and Engineering, Korea University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-5563-9088

Funding

National Research Foundation of Korea RS-2024-00448865National Research Foundation of Korea RS-2025-25429261
6 · The paper itself

Abstract

Conventional electromagnetic generators are limited to low-power applications owing to their mechanical complexity, bulky design, and reduced efficiency at small scales. Their performance is further hindered by the resistive torque according to Lenz's law, which makes them unsuitable for low-load environments. To overcome these challenges, we propose a novel in-wheel direct-current piezoelectric generator (DC-PG), which enables efficient power generation with zero resistive torque and does not require rectification. The system leverages continuous in-phase polarization during rotation to deliver a stable low-ripple DC output with minimal energy loss. Integrated into a suitcase wheel without adding weight or volume, the DC-PG achieved a peak power of 4.28 mW under realistic conditions (20 kg load, 3-5 km/h), surpassing conventional AC-based piezoelectric systems. It successfully powered a wireless Internet of things (IoT) location sensor, charging a 5 V capacitor in 134 s. This compact rectification-free generator is a viable solution for small-scale power generation and self-powered IoT applications. Its high-efficiency performance and elimination of electromagnetic resistance open new possibilities for energy autonomy in low-speed, low-load environments.

Indexed as

DC generatorInternet of ThingspiezoelectricPMN‐PTself‐power

Identifiers

PMID41603237
PMCPMC13042964

What OpenQuestion holds

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Registered trials

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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.