B.11: LIB Cells Health State Digital Twin: Difference between revisions

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• '''Asset Type''': Executable
• '''Asset Type''': Executable


• '''AI Breadth''':  
• '''AI Breadth''': ML


• '''Learning Ability''':  
• '''Learning Ability''': N.A


• '''Related technologies''':
• '''Related technologies''': N.A


• '''Applicable Research Area''':  
• '''Applicable Research Area''': N.A


• '''Applicable Technical Category''':  
• '''Applicable Technical Category''': N.A


• '''License Information''':
• '''License Information''': N.A


• '''Related to circularity and sustainability''': Yes
• '''Related to circularity and sustainability''': Yes


• '''Audience''':
• '''Audience''': Battery Manufacturers




Go back to the '''[[AI portfolio of reference implementations]]'''
Go back to the '''[[AI portfolio of reference implementations]]'''

Latest revision as of 09:30, 28 April 2025

Short Description: An innovative process DT which implements AI tools for the characterization of the Li-ion batteries state-of-health. AI driven engineering method for the characterization of the LIBs State-of-health.

Reference, URL: https://www.polimi.it/

Applicable Business Category: Manufacturing

Application in relevant Projects/Initiatives: Yes Circular TwAIn

Asset Type: Executable

AI Breadth: ML

Learning Ability: N.A

Related technologies: N.A

Applicable Research Area: N.A

Applicable Technical Category: N.A

License Information: N.A

Related to circularity and sustainability: Yes

Audience: Battery Manufacturers


Go back to the AI portfolio of reference implementations