SYNTHETIC VOLTAGE DATASETS FOR ARTIFICIAL INTELLIGENCE-BASED LI-ION DIAGNOSIS AND PROGNOSIS: INVESTIGATION OF THREE DIFFERENT BLENDING CONDITIONS

Dubarry, Matthieu MDBeck, David2024-07-022024-07-022024https://hdl.handle.net/10125/108365EnergyMaterials ScienceMechanical engineeringBatteriesInhomogeneitiesLithium ionLithium ion batteriesLithium ion battery degradationLithium ion testingSYNTHETIC VOLTAGE DATASETS FOR ARTIFICIAL INTELLIGENCE-BASED LI-ION DIAGNOSIS AND PROGNOSIS: INVESTIGATION OF THREE DIFFERENT BLENDING CONDITIONSThesis