Evidence map›Paper›PMID 41068247›Full record

ArticleScientific reports2025

New flexible bidirectional converter for electric vehicle substations connecting microgrids.

Nguyen The Vinh, Van-Thang Nguyen, Nguyen Van Dung, Hong-Son Vu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Nguyen The VinhAutomation and Robotics Laboratory-ARL, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam. vinhnt@ptit.edu.vn.
Van-Thang NguyenAutomation and Robotics Laboratory-ARL, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam.
Nguyen Van DungSchool of Electrical and Electronic Engineering, Hanoi University of Industry, Hanoi, Vietnam.
Hong-Son VuFaculty of Electronics and Electrical Engineering, Hung Yen University of Technology and Education, Hung Yen, 160000, Vietnam.

Funding

ARL, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam 08-2025
6 · The paper itself

Abstract

This paper proposes a flexible and energy-efficient power conversion system capable of bidirectional energy flow between AC and DC microgrids, as well as electric vehicles (EVs). The converter is designed by integrating fundamental DC/DC topologies-namely Push-Pull and Half-Bridge converters-with a multi-level DC/AC inverter. It supports multiple operating modes, enabling seamless integration of both fixed and mobile EV charging stations through dedicated DC/DC charging interfaces tailored to various system configurations. A hierarchical multi-agent control strategy is employed, with clearly defined roles for each converter control component to enable coordinated operation across diverse use cases. Simulation results conducted in MATLAB demonstrate a high power factor of up to 96.5% during both EV charging and discharging processes to the interconnected microgrids. The system accommodates EV input voltages ranging from 350 to 1500 VDC and currents from 15 to 45 A, covering a wide range of medium to fast charging levels. The optimal switching frequency is determined through a detailed power loss analysis across input and output stages. The proposed converter offers a compact design, supports a wide range of voltage levels with low battery-side ripple, and ensures efficient bidirectional energy conversion between various grids.

Indexed as

AC microgridBidirectionalConverterDC microgridEV batteryMulti-agent system

Identifiers

PMID41068247
PMCPMC12511443

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.