Models, tasks and datasets for battery AI, in one place.
Tasks
Anomaly detection0 models · 1 datasetDegradation-mode diagnosis2 models · 2 datasetsManufacturing quality assessment0 models · 1 datasetSecond-life triage0 models · 0 datasetsCapacity trajectory forecasting0 models · 2 datasetsKnee prediction1 model · 1 datasetRUL prediction2 models · 2 datasetsSafety early warning0 models · 0 datasetsState-of-charge estimation0 models · 0 datasetsState-of-health estimation4 models · 11 datasetsFeature extraction0 models · 0 datasets
Browse tasks (11) →Models
AI Battery Lifecycle (v3)Neeraj Sathish KumarState-of-health estimationExperimental
Battery CT defect screeningjoonkiExperimental
Battery foundation modelUniversity of Oviedo · HNEIDegradation-mode diagnosis+2SyntheticIn progress
Battery RUL predictorDikshantRUL prediction
Battery SoH LSTMsefraniState-of-health estimation
DTW-CNN battery degradation diagnosisPakaLi Battery Laboratory - Hawaiʻi Natural Energy InstituteDegradation-mode diagnosisSynthetic
FELA PDELowdown LabsSynthetic
Hybrid ML-MCDM battery end-of-life frameworkRISHABH KUMARState-of-health estimation+1Synthetic + experimentalDatasets
'alawa prognosis duty cyclesHNEI · University of OviedoKnee prediction+1SyntheticPlanned
batgradMarkus PlandowskiState-of-health estimationSynthetic + experimental
BatteryLifeHKUST (Guangzhou) · CALBRUL predictionExperimental
CALCE CX2 prismatic cellsCALCE, University of MarylandState-of-health estimationExperimentalCALCE PL pouch cells, partial-SOC cyclingCALCE, University of MarylandState-of-health estimationExperimentalEmpa Aurora 2025 coin cellsEmpa · ETH Zürich · EPFL · SINTEFState-of-health estimationExperimental