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Record W4385431888 · doi:10.18280/jesa.560311

Enabling EV Roaming Through Cascading WebSockets in OCPP 1.6

2023· article· en· W4385431888 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal Européen des Systèmes Automatisés · 2023
Typearticle
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsnot available
Fundersnot available
KeywordsRoamingComputer scienceBusinessComputer network

Abstract

fetched live from OpenAlex

Currently, there are four major protocols for EV roaming that support electric vehicle drivers to access charge points from different networks with a single user registration through roaming agreements between charge point operators (CPOs) and mobility service providers (MSPs): the Open Clearing House Protocol (OCHP), the Open InterCharge Protocol (OICP), the eMobility Inter-operation Protocol (eMIP), and the Open Charge Point Interface (OCPI).These protocols facilitate data exchange between CPOs and MSPs using a roaming hub or peer-to-peer connections.On the other hand, the Open Charge Point Protocol (OCPP) is the standard protocol widely used for communication between the charge point and the central system within the CPO's internal system.OCPP has been integrated into many charge point products today, where OCPP 1.6 supports Simple Object Access Protocol (SOAP) and JavaScript Object Notation (JSON) data format over the WebSocket, with the charge point acting as the WebSocket client and the central system as the WebSocket server.The aim of this study is to further enhance the functionality of OCPP by integrating the role of the WebSocket client into the central system to support EV roaming for EV drivers.This new approach describes the architecture that includes the actors and their roles, which are the Charge Point that delivers energy to electric vehicles, the Central System that manages the Charge Point and requests for EV roaming, and the National Access Point that acts as a roaming hub in the proposed EV roaming system.Additionally, three simulation models have been created, each representing an actor and their role in the proposed system.The feasibility and effectiveness of the proposed EV roaming system are evaluated through experiments during high traffic load conditions of a network using the simulation models and actual charge point products.The experiment scenarios specifically focus on cases related to user authorization and billing.This study only concern on the time consumption for user authorization.The results confirm that the proposed EV roaming system can be implemented based on the enhanced functionality of the OCPP, with the average time for user authorization over five attempts range between 3 ms for the simplest scenario one to 2200 ms for the most complex scenario four, which can be considered quite impressive.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.283
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it