Evidence map›Paper›PMID 41691028›Full record

ArticleScientific reports2026

Current sensorless MPPT method with battery management for PV based single phase standalone system.

Naci Genc, Hasan Uzmus, Zhansaya Kalimbetova, Mehmet Ali Celik, Sherzod Ramankulov

Abstract read
In one paragraph

Article in Scientific reports, 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

5 authors.

Naci GencFaculty of Engineering, Electrical and Electronics Engineering Department, Yalova University, Yalova, Turkey.
Hasan UzmusFaculty of Engineering, Electrical and Electronics Engineering Department, Van Yuzuncu Yil University, Van, Turkey.
Zhansaya KalimbetovaElectrical Engineering Department, Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakhstan. zhansaya.kalimbetova@ayu.edu.kz.
Mehmet Ali CelikDepartment of Electrical and Energy, Agri Ibrahim Cecen University, Agri, Turkey.
Sherzod RamankulovDepartment of Physics, Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Republic of Kazakhstan.

Funding

THE SCIENCE COMMITTEE OF THE MINISTRY OF SCIENCE AND HIGHER EDUCATION OF THE REPUBLIC OF KAZAKHISTAN Grant No. AP23488947
6 · The paper itself

Abstract

This paper introduces an improved current-sensorless maximum power point tracking (MPPT) approach, coupled with a battery charging unit, specifically designed for single-phase standalone photovoltaic (PV) power systems. An interleaved hybrid DC-DC boost converter with high voltage gain, previously developed by the authors, is used to boost the low and non-linear voltage output of the PV array to the usable DC grid voltage level. Since the energy yield of PV systems is highly sensitive to variations in solar irradiance, fast and accurate tracking of the maximum power point (MPP) is essential. Unlike conventional MPPT techniques that rely on both voltage and current measurements, the proposed method estimates the input current using only the inductor voltage observed during the switch ON-state, thus removing the need for direct current sensing. This sensorless approach simplifies hardware design and reduces implementation costs, particularly in experimental environments where current sensors may introduce complexity and noise susceptibility. In addition, the proposed system includes a battery charging unit which ensures effective energy transfer to the battery in isolated operating conditions for single-phase AC off-grid power applications. The control structure regulates charging dynamics based on voltage behavior and operating constraints, contributing to stable performance under changing environmental conditions. The system's effectiveness is verified through MATLAB/Simulink simulations under dynamic irradiance profiles. Predicted and actual current values are compared to validate estimation accuracy. Furthermore, experimental validation using a digital signal processor (DSP) demonstrates reliable real-time operation, confirming the practical applicability of the proposed method in cost-sensitive, off-grid solar energy systems.

Indexed as

Battery managementDC-DC converterMPPTPVSolar energy

Identifiers

PMID41691028
PMCPMC12996290

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.