Onterface Demo Tutorial
| Onterface Demo Tutorial [OSW47e059d06b0b4d5e978ad4460dabafaa] | |
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| 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 |
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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
Create a model
Click on the tile (see last slide / below)
Assign a name to your model
Add a simulation workflow
Add a geometry submodel from the property menu
add a workflow property
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
After a few seconds, the state changes to 'Running'
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
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
Run an optimization
Create a new model add an optimization workflow
Run the optimization by clicking on the badge
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
Also the result table on BattmoModel is updated.
If your results / numbers don't show up, refresh the page
Publish the results
Click 'Edit data' to re-open the edit form
Add a publisher workflow
Click on the badge to trigger the workflow
View the published dataset
Click on the DOI link to see the published dataset
For this demo, the Zenodo Sandbox is used
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Your turn
Login and click on the tile to create your own model
Missed something?
- Watch again as video
How to create a simulation run
How to publish results
How to find a simulation result
Tutorial Graph
Graph
QR Code
Attachments
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