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Onterface is a software framework based on [https://github.com/OpenSemanticLab OpenSemanticLab] which allows user to create battery cell specification (models) on a knowledge graph (KG) with a graphical user interfaces.
Onterface is a software framework based on [https://github.com/OpenSemanticLab OpenSemanticLab] which allows user to create battery cell specification (models) on a knowledge graph (KG) with a graphical user interfaces.


This knowledge graph is connected to a workflow environment ([https://github.com/PrefectHQ/prefect Prefect] + [https://github.com/tiangolo/fastapi FastAPI]) which simulates ([https://github.com/BattMoTeam/BattMo BattMo]) and optimizes ([https://atinary.com/ SDLabs]) the model.
This knowledge graph is connected to a workflow environment ([https://github.com/PrefectHQ/prefect Prefect] + [https://github.com/tiangolo/fastapi FastAPI]) which simulates ([https://github.com/BattMoTeam/BattMo BattMo]) and optimizes ([https://atinary.com/ SDLabs]) the model (Deployment / Installation: see [[Item:OSWec5a66a90ca54f19a60f2a0c3faae582]]).


The results and documentation is stored as well on the knowledge graph and can be directly published ([https://zenodo.org/ Zenodo], [https://archive.big-map.eu BIG-MAP Archive], etc.)
The results and documentation is stored as well on the knowledge graph and can be directly published ([https://zenodo.org/ Zenodo], [https://archive.big-map.eu BIG-MAP Archive], etc.)

Latest revision as of 09:09, 25 October 2023

Onterface Demo Tutorial [OSW47e059d06b0b4d5e978ad4460dabafaa]
ID OSW47e059d06b0b4d5e978ad4460dabafaa
UUID 47e059d0-6b0b-4d5e-978a-d4460dabafaa
Label Onterface Demo Tutorial
Machine compatible name OnterfaceDemoTutorial
Statements (outgoing)
Statements (incoming)
Keywords

Description

This tutorial shows how to create a battery model and run simulation and optimization workflows

Item
Type(s)/Category(s) Tutorial
CreativeWork
Article
Tutorial
Prerequisites (required)
Prerequisites (optional)
Follow-up (recommended)

View as slide show

Introduction

In this demo you can get hands-on with the results of the Onterface Project.

Onterface is a software framework based on OpenSemanticLab which allows user to create battery cell specification (models) on a knowledge graph (KG) with a graphical user interfaces.

This knowledge graph is connected to a workflow environment (Prefect + FastAPI) which simulates (BattMo) and optimizes (SDLabs) the model (Deployment / Installation: see How to deploy Onterface).

The results and documentation is stored as well on the knowledge graph and can be directly published (Zenodo, BIG-MAP Archive, etc.)

Overview

Create a model

  • Click on the tile (see last slide / below)

    Click on the tile (see last slide / below)

  • Assign a name to your model

    Assign a name to your model

Add a simulation workflow

  • Add a geometry submodel from the property menu

    Add a geometry submodel from the property menu

  • add a workflow property

    add a workflow property

  • Choose a workflow. In this case we select the simulation workflow.

    Choose a workflow. In this case we select the simulation workflow.

Run a simulation

Please note: Viewing the workflow data required access to the prefect environment, which is not public

  • Run the workflow by clicking on the badge

    Run the workflow by clicking on the badge

  • After a few seconds, the state changes to 'Running'

    After a few seconds, the state changes to 'Running'

  • In the background, the flow is executed (dashboard access for core members only)

    In the background, the flow is executed (dashboard access for core members only)

View the simulation results

  • After the flow has reached status 'Completed' (~ 1 min) you can inspect the knowledge graph by right-clicking your models node

    After the flow has reached status 'Completed' (~ 1 min) you can inspect the knowledge graph by right-clicking your models node

  • Select 'performance' > ' EnergyDensity' to see the result

    Select 'performance' > ' EnergyDensity' to see the result

  • You can also navigate to the model schema page to see a comparison table of all model instances

    You can also navigate to the model schema page to see a comparison table of all model instances

Run an optimization

  • Create a new model add an optimization workflow

    Create a new model add an optimization workflow

  • Run the optimization by clicking on the badge

    Run the optimization by clicking on the badge

  • The optimization will run in the background and will take ~ 25 min.

    The optimization will run in the background and will take ~ 25 min.

View the optimization results

  • After completion, the best-run energy density and geometry parameters are store on the knowledge graph

    After completion, the best-run energy density and geometry parameters are store on the knowledge graph

  • Also the result table on Category:OSW553f78cc66194ae1873241207b906c4b is updated.

    Also the result table on BattmoModel is updated.

  • If your results / numbers don't show up, refresh the page

    If your results / numbers don't show up, refresh the page

Publish the results

  • Click 'Edit data' to re-open the edit form

    Click 'Edit data' to re-open the edit form

  • Add a publisher workflow

    Add a publisher workflow

  • Click on the badge to trigger the workflow

    Click on the badge to trigger the workflow

View the published dataset

  • Click on the DOI link to see the published dataset

    Click on the DOI link to see the published dataset

  • For this demo, the Zenodo Sandbox is used

    For this demo, the Zenodo Sandbox is used

Your turn

Login and click on the tile to create your own model

Missed something?

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Retrieved from "https://onterface.open-semantic-lab.org/w/index.php?title=Item:OSW47e059d06b0b4d5e978ad4460dabafaa&oldid=1716"
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