Evidence map›Paper›PMID 42177217›Full record

ArticleScientific reports2026

Optimal sizing of electric vehicle charging station considering charging scheduling strategy.

Wenbin Shao, Dingding Hu

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

2 authors.

Wenbin ShaoSchool of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, 233030, Anhui, China.
Dingding HuSchool of Public Security and Emergency Management, Anhui University of Science and Technology, Hefei, 231131, Anhui, China. hudingding@mail.hfut.edu.cn.

Funding

the Key Project of Scientific Research Plan of Colleges and Universities in Anhui Province 2025AHGXZK31132
6 · The paper itself

Abstract

The widespread use of electric vehicles (EVs) strongly depends on the construction of EV charging stations (EVCSs) that should fulfill charging requests while considering various economic issues. This paper investigates the optimal sizing of an EVCS integrated with renewable energy generators, an energy storage system (ESS), and multiple types of chargers. The optimal sizing problem is formulated as a mixed-integer linear program that takes seasonal variations of renewable energy generation into account, while aiming to minimize the equivalent annual total cost of the EVCS. Then, a novel charging scheduling strategy for EVs is developed by considering charger utilization efficiency, thereby reducing unnecessary expenses. Finally, different case studies are analyzed to verify the effectiveness and economic performance of the proposed strategy. The results indicate that incorporating EV charging scheduling into the optimal sizing problem can improve the economic performance of the EVCS.

Indexed as

Charging behaviorElectric vehicle charging stationOptimal sizingRenewable energyScheduling strategy

Identifiers

PMID42177217
PMCPMC13424296

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.