%0 Journal Article %T Battery Aging Models Based on High-Current Incremental Capacity in Fast Charging %+ Dipartimento di Ingegneria dell'Informazione ed Elettrica e Matematica Applicata (DIEM / UNISA) %+ Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE) %A Lombardi, Ludovico %A Ospina Agudelo, Brian %A Zamboni, Walter %A Monmasson, Eric %@ 2313-0105 %J Batteries %I MDPI %V 9 %N 1 %P 1-15 %8 2023-01 %D 2023 %R 10.3390/batteries9010002 %K battery aging modeling %K capacity degradation models %K fast charging %K incremental capacity %K state-of-health %K battery aging modeling capacity degradation models fast charging incremental capacity state-of-health %K battery aging modeling %Z Engineering Sciences [physics] %Z Engineering Sciences [physics]/Materials %Z Engineering Sciences [physics]/Mechanics [physics.med-ph] %Z Engineering Sciences [physics]/Electric powerJournal articles %X This paper presents battery aging models based on high-current incremental capacity features in the presence of battery cycling profiles characterized by fast charging conditions. In particular, the main peak area under the incremental capacity graph is proposed as a capacity indicator. A dataset from the Toyota Research Institute is analyzed. Batteries’ cycling data are characterized by various single- or double-step fast charges in constant current to reach 80% of the battery state of charge; the remaining charge process is performed by a 1C charge. Depending on the battery, a linear or logarithmic model was identified as the best suitable for representing the capacity–peak area relationship. The generalization capabilities of the proposed models are evaluated by performing an inference analysis of the fitting results over groups of batteries. Finally, we evaluated the prediction performance of the models by adopting a cross-validation approach. %G English %2 https://cnam.hal.science/hal-04088247/document %2 https://cnam.hal.science/hal-04088247/file/batteries-09-00002-v2.pdf %L hal-04088247 %U https://cnam.hal.science/hal-04088247 %~ CNRS %~ UNIV-CERGY %~ ENS-CACHAN %~ CNAM %~ SATIE %~ IFSTTAR %~ UNIV-PARIS-SACLAY %~ UNIV-RENNES %~ UNIVERSITE-PARIS-SACLAY %~ CY-TECH-SE %~ FARMAN %~ ENS-PARIS-SACLAY %~ ENS-PSACLAY %~ GS-COMPUTER-SCIENCE %~ TEST3-HALCNRS %~ HESAM-CNAM %~ HESAM