Evidence map›Paper›PMID 40822539›Full record

ReviewMethodsX2025

EVMCSDLT: Electric vehicle mobile charging system using distributed ledger technology.

Neha Deshmukh, Vaishali Khairnar, Deepali Vora, Aleksandar Jovanovic, Frédéric Le Mouël

Abstract readReview
In one paragraph

Review in MethodsX, 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

5 authors.

Neha DeshmukhTerna Engineering College, University of Mumbai, Nerul, Navi Mumbai, 400706, Maharashtra, India.
Vaishali KhairnarTerna Engineering College, University of Mumbai, Nerul, Navi Mumbai, 400706, Maharashtra, India.
Deepali VoraDepartment of Computer Science & Engineering, Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, India.
Aleksandar JovanovicUniversity of Kragujevac, Serbia.
Frédéric Le MouëlNational Institute for Applied Sciences of Lyon (INSA Lyon), France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accelerating adoption of electric vehicles (EVs) has revealed a significant challenge: ensuring accessible, secure charging infrastructure in areas with limited internet connectivity. This study introduces EVMCSDLT, a novel payment framework that leverages Distributed Ledger Technology (DLT) to facilitate secure transactions between EV users and mobile charging stations in offline environments. Unlike conventional payment systems that require continuous Internet connectivity, EVMCSDLT employs a two-part blockchain security mechanism using QR code authentication and hashing techniques. This mechanism distributes security data across both the sender's & receiver's devices, enabling transactions to be validated & recorded locally before subsequent synchronization with the blockchain network. The system is implemented using React.js integrated with Web3, supporting both online & offline transaction processing via MetaMask wallet. It also features real time geospatial tracking of fixed and mobile charging stations through Google Maps, allowing users to locate nearby charging options efficiently. Experimental results demonstrate a reliable transaction range of up to 8.13 meters between devices, consistent QR code scanning with an average response time of 3.4 s under various lighting conditions, and strong resistance to cyber threats in simulated man-in-the-middle attacks. The EVMCSDLT framework marks a significant advancement in extending the accessibility of EV charging technology to underserved areas while ensuring transaction security and integrity regardless of the Internet connectivity status.

Indexed as

BlockchainDistributed ledger technologyElectric vehiclesMobile chargingOffline paymentsSecurity

Identifiers

PMID40822539
PMCPMC12355485

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.