Evidence map›Paper›PMID 41462420›Full record

ArticleScientific reports2025

Development of a solar-integrated energy management system for grid-to-vehicle and vehicle-to-grid power exchange.

N Venkata Koteswara Rao, K Bala Krishna

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. 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

2 authors.

N Venkata Koteswara RaoDepartment of Electrical and Electronics Engineering, VFSTR Deemed to Be University, Guntur, Andhra Pradesh, 522213, India. 221PG06001@vignan.ac.in.ORCID http://orcid.org/0009-0002-9077-9646
K Bala KrishnaDepartment of Electrical and Electronics Engineering, VFSTR Deemed to Be University, Guntur, Andhra Pradesh, 522213, India.ORCID http://orcid.org/0000-0001-8969-4747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of efficient energy management strategies for electric vehicle (EV) charging is crucial to reduce grid stress and enhance renewable integration. This paper presents a solar-integrated energy management system that coordinates Grid-to-Vehicle (G2V) and Vehicle-to-Grid operations through a solar irradiance and battery state-of-charge (SIBSOC) based controller. The proposed method dynamically adjusts charging and discharging modes depending on irradiance and SOC conditions. MATLAB/Simulink simulations are carried out under high, medium, and zero irradiance conditions. Results show that under optimal irradiance (1000 W/m2), the photovoltaic (PV) array is capable of delivering up to 96% of the EV charging demand, with excess power injected into the grid. When irradiance drops to 500 W/m2, the PV contribution reduces proportionally, yet the system sustains a stable DC link voltage of 850 V, ensuring uninterrupted charging. In the absence of irradiance, the EV battery supplies power back to the grid, achieving a 14–18% reduction in grid dependency during peak demand hours. Compared with conventional grid-only charging, the proposed control reduces grid power draw by approximately 42% and improves overall system efficiency by 11.6%. These findings confirm that the SIBSOC-based strategy enhances grid reliability, minimizes renewable intermittency impact, and supports sustainable EV integration into modern power systems.

Indexed as

BatteryElectric vehiclePhotovoltaic arrayPower gridSolar irradiance battery state of charge-based controllerThree phase inverter

Identifiers

PMID41462420
PMCPMC12749455

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.