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dc.contributor.authorZhuang, Debbie
dc.contributor.authorLi, Michael L
dc.contributor.authorLam, Vivek N
dc.contributor.authorBraatz, Richard D
dc.contributor.authorChueh, William C
dc.contributor.authorBazant, Martin Z
dc.date.accessioned2024-10-23T20:41:41Z
dc.date.available2024-10-23T20:41:41Z
dc.date.issued2024-05-01
dc.identifier.urihttps://hdl.handle.net/1721.1/157411
dc.description.abstractIndustry-standard diagnostic methods for rechargeable batteries, such as hybrid pulse power characterization (HPPC) tests for hybrid electric vehicles, provide some indications of state of health (SoH), but lack a physical basis to guide protocol design and identify degradation mechanisms. We develop a physics-based theoretical framework for HPPC tests, which are able to accurately determine specific mechanisms for battery degradation in porous electrode simulations. We show that voltage pulses are generally preferable to current pulses, since voltage-resolved linearization more rapidly quantifies degradation without sacrificing accuracy or allowing significant state changes during the measurement. In addition, asymmetric amounts of information gain between charge /discharge pulses are found from differences in electrode kinetic scales. We demonstrate our approach of physics-informed HPPC on simulated Li-ion batteries with nickel-rich cathodes and graphite anodes. Multivariable optimization by physics-informed HPPC rapidly determines kinetic parameters that correlate with degradation phenomena at the anode, such as solid-electrolyte interphase (SEI) growth and lithium plating, as well as at the cathode, such as oxidation-induced cation disorder. If validated experimentally, standardized voltage protocols for HPPC tests could play a pivotal role in expediting battery SoH assessment and accelerating materials design by providing new electrochemical features for interpretable machine learning of battery degradation.en_US
dc.language.isoen
dc.publisherThe Electrochemical Societyen_US
dc.relation.isversionof10.1149/1945-7111/ad4394en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceThe Electrochemical Societyen_US
dc.titlePhysics-Informed Design of Hybrid Pulse Power Characterization Tests for Rechargeable Batteriesen_US
dc.typeArticleen_US
dc.identifier.citationDebbie Zhuang et al 2024 J. Electrochem. Soc. 171 050510en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.relation.journalJournal of The Electrochemical Societyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-10-23T20:34:20Z
dspace.orderedauthorsZhuang, D; Li, ML; Lam, VN; Braatz, RD; Chueh, WC; Bazant, MZen_US
dspace.date.submission2024-10-23T20:34:21Z
mit.journal.volume171en_US
mit.journal.issue5en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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