Evidence map›Paper›PMID 42122350›Full record

ArticleSensors (Basel, Switzerland)2026

Design and Control Method of Passive Energy Harvesting for Hydropower Unit Sensors in Complex Electromagnetic Environments.

Xiaobo Long, Zhijun Zhou, Zhidi Chen, Peng Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

4 authors.

Xiaobo LongChina Yangtze Power Co., Ltd., Yichang 430014, China.
Zhijun ZhouChina Yangtze Power Co., Ltd., Yichang 430014, China.
Zhidi ChenCTG Wuhan Science and Technology Innovation Park, Wuhan 430014, China.
Peng ChenCTG Wuhan Science and Technology Innovation Park, Wuhan 430014, China.

Funding

China Yangtze Power Co., Ltd. Z152402060
6 · The paper itself

Abstract

With the advancement of digital hydropower stations, the requirements of real-time, high-precision industrial soft measurement of key power equipment operating status are attracting more and more attention. However, it is difficult to transfer energy to the monitoring sensor in strong electromagnetic environments. In this paper, a high-efficiency, high-power-density magnetic field energy harvester is proposed for monitoring sensors in hydropower stations, which captures the energy from the magnetic flux leakage of a hydroelectric generating set. Efficient magnetic energy capture is achieved by modeling material properties and optimizing the receiver's magnetic core parameters via a Genetic Algorithm. The theoretical analysis of charging characteristics is given, and a Maximum Power Point Tracking (MPPT) control circuit is proposed, realizing high-efficiency energy conversion. Finally, an experimental planet is built. Under 70-130 Gs power-frequency magnetic fields, the system delivers 2.8-5.1 V open-circuit voltage, 66 mW maximum load power, and 6.5 mW/cm

Indexed as

genetic algorithmmagnetic energy harvestingmaximum power point trackingnon-intrusive micro-energy harvesting

Identifiers

PMID42122350
PMCPMC13165834

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.