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Degradation Model and State Estimation for Lithium-Ion Batteries in Aerospace

Bolay, Linda and Horstmann, Birger and Latz, Arnulf and Schmitt, Tobias and Mendoza-Hernandez, Omar and Sone, Yoshitsugu and Hosono, Eiji and Asakura, Daisuke and Matsuda, Hirofumi and Umeda, Minoru (2020) Degradation Model and State Estimation for Lithium-Ion Batteries in Aerospace. Conference on Advanced Power Systems for Deep Space Exploration, 27.-29. Okt. 2020, virtuell.

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Abstract

Abstract Lithium-ion batteries are the technology of choice for a broad range of applications due to their performance and long-term stability. The performance and durability of lithium-ion batteries is heavily impacted by various degradation mechanisms. These include the growth of the solid-electrolyte interphase (SEI) and the deposition of metallic lithium on the surface of the negative electrode, referred to as lithium plating. Long-term SEI growth is the biggest contributor to capacity fade in lithium-ion batteries. Lithium plating, which occurs in low temperature or high current charging, can result in capacity fade or even thermal runaway. In our group we develop multiphysical models and perform simulations for various types of batteries. In order to describe the internal processes of Li-ion batteries, we derive thermodynamic consistent transport theories. Based on these, our group has developed models for long-term SEI growth and for lithium plating in 3D electrode microstructures. In this contribution we develop a model to describe the performance and lifetime of the batteries of in-orbit satellite REIMEI developed by the Japan Aerospace Exploration Agency. Our new degradation model describes the growth of the solide electrolyte interphase (SEI) during battery storage as well as battery cycling. In our microstructure resolved three dimensional simulations we show inhomogeneities in the SEI thickness after cycling. To validate the model, we use experimental and in-flight data of the satellite’s batteries. Furthermore we incorporate the degradation model into an extended Kalman Filter for SOC and SOH estimation. In this way we estimate the battery states of the still operating satellite.

Item URL in elib:https://elib.dlr.de/136993/
Document Type:Conference or Workshop Item (Speech)
Title:Degradation Model and State Estimation for Lithium-Ion Batteries in Aerospace
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bolay, LindaLinda.Bolay (at) dlr.deUNSPECIFIED
Horstmann, Birgerbirger.horstmann (at) dlr.deUNSPECIFIED
Latz, ArnulfArnulf.Latz (at) dlr.deUNSPECIFIED
Schmitt, TobiasTobias.Schmitt (at) dlr.dehttps://orcid.org/0000-0003-4240-679X
Mendoza-Hernandez, Omaromar.mendoza (at) jaxa.jpUNSPECIFIED
Sone, Yoshitsugusone.yoshitsugu (at) jaxa.jpUNSPECIFIED
Hosono, EijiInstitute for Energy Conservation, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, JapanUNSPECIFIED
Asakura, DaisukeInstitute for Energy Conservation, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, JapanUNSPECIFIED
Matsuda, HirofumiInstitute for Energy Conservation, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, JapanUNSPECIFIED
Umeda, MinoruNagaoka University of Technology, Department of Materials Science and Technology, 1603-1 Kamitomioka, Nagaoka, Niigata 940-2188, JapanUNSPECIFIED
Date:2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Li-ion battery, Degradation, State estimation, Kalman filter, SEI, Plating
Event Title:Conference on Advanced Power Systems for Deep Space Exploration
Event Location:virtuell
Event Type:international Conference
Event Dates:27.-29. Okt. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):Proj Skalierbares Batteriesystem für Satelliten (old)
Location: Ulm
Institutes and Institutions:Institute of Engineering Thermodynamics > Computational Electrochemistry
Deposited By: Bolay, Linda
Deposited On:30 Oct 2020 11:10
Last Modified:30 Oct 2020 11:10

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