Item:OSW47e059d06b0b4d5e978ad4460dabafaa

Onterface Demo Tutorial [OSW47e059d06b0b4d5e978ad4460dabafaa]
ID	OSW47e059d06b0b4d5e978ad4460dabafaa
UUID	47e059d0-6b0b-4d5e-978a-d4460dabafaa
Label	Onterface Demo Tutorial
Machine compatible name	OnterfaceDemoTutorial
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Description

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

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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.

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

Overview

Diagram Onterface Overview

[Edit]

Create a model

• 

  Click on the tile (see last slide / below)

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  Assign a name to your model

Add a simulation workflow

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  Add a geometry submodel from the property menu

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  add a workflow property

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  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

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  Run the workflow by clicking on the badge

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

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

View the simulation results

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

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

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

Run an optimization

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  Create a new model add an optimization workflow

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  Run the optimization by clicking on the badge

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

View the optimization results

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

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  Also the result table on BattmoModel is updated.

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

Publish the results

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

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  Add a publisher workflow

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  Click on the badge to trigger the workflow

View the published dataset

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  Click on the DOI link to see the published dataset

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  For this demo, the Zenodo Sandbox is used

Your turn

Login

Click on the tile to create your own model

Tutorial Graph

Graph graph-01

Graph

QR Code

Attachments

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  onterface tutorial create model

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  onterface tutorial model add label

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  onterface tutorial model add geometry

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  onterface tutorial model add simulation workflow

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  onterface tutorial model edit simulation run and save

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  onterface tutorial model page before run

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  onterface tutorial model page simulation running

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  onterface tutorial prefect simulation flow run

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  onterface tutorial model page simulation run complete

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  onterface tutorial model page simulation result

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  onterface tutorial category page simulation result

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  onterface tutorial model add optimization

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  onterface tutorial model page before optimization run

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  onterface tutorial model page optimization running

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  onterface tutorial model page optimization result

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  onterface tutorial category page optimization result

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  onterface tutorial model page edit data

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  onterface tutorial model add publisher

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  onterface tutorial model page before publisher run

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  onterface tutorial model page publisher result

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  onterface tutorial zenodo publication

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  onterface tutorial category page refresh

• onterface_find_simulation_result

• onterface_publish_simulation_result

• onterface_create_simulation_run

Description:

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