Correlation of Health Indicators on Lithium‐Ion Batteries
Herein, a detailed correlation index of health indicators for lithium‐ion batteries is presented. Identifying potential correlations of health indicators is of high importance with regard to the cell selection process and to minimize the occurring cell‐to‐cell spread within the lifetime. Health indicators that are taken into account are among others impedance measurements of different pulse lengths, capacity values at different discharge procedures and checkups, weight, and initial voltage. Herein, the work is based on four different aging datasets covering variations in cell chemistry (NMC, LFP, NCA), cell type (round, prismatic), as well as the size and designated application (consumer, automotive). A publicly available dataset is included to allow for an easy reproduction of the results.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Correlation of Health Indicators on Lithium‐Ion Batteries ; day:20 ; month:04 ; year:2023 ; extent:11
Energy technology ; (20.04.2023) (gesamt 11)
- Creator
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Dechent, Philipp
Barbers, Elias
Epp, Alexander
Jöst, Dominik
Li, Weihan
Sauer, Dirk Uwe
Lehner, Susanne
- DOI
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10.1002/ente.202201398
- URN
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urn:nbn:de:101:1-2023051715122046828389
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:54 AM CEST
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Associated
- Dechent, Philipp
- Barbers, Elias
- Epp, Alexander
- Jöst, Dominik
- Li, Weihan
- Sauer, Dirk Uwe
- Lehner, Susanne
Other Objects (12)
Degradation Mechanisms in NMC-Based Lithium-Ion Batteries
The Influence of Electrolyte Volume on Calendaric Aging of Lithium‐Ion Batteries
Correlation of Health Indicators on Lithium‐Ion Batteries
Optimized charging of lithium-ion batteries with physico-chemical models
The Influence of Electrolyte Volume on Calendaric Aging of Lithium‐Ion Batteries
Multiperspective Optimization of Cell and Module Dimensioning for Different Lithium‐Ion Cell Formats on Geometric and Generic Assumptions
Identification of Lithium Plating in Lithium-Ion Batteries by Electrical and Optical Methods
Simulation and real-life assessment of cell-to-cell variation of ageing lithium-ion batteries
Understanding the Energy Potential of Lithium‐Ion Batteries: Definition and Estimation of the State of Energy
Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization
Thermal Transients to Accelerate Cyclic Aging of Lithium‐Ion Batteries
Dissection and quantitative description of aging of lithium-ion batteries using non-destructive methods validated by post-mortem-analyses
Degradation Mechanisms in NMC-Based Lithium-Ion Batteries
The Influence of Electrolyte Volume on Calendaric Aging of Lithium‐Ion Batteries
Correlation of Health Indicators on Lithium‐Ion Batteries
Optimized charging of lithium-ion batteries with physico-chemical models
The Influence of Electrolyte Volume on Calendaric Aging of Lithium‐Ion Batteries
Multiperspective Optimization of Cell and Module Dimensioning for Different Lithium‐Ion Cell Formats on Geometric and Generic Assumptions
Identification of Lithium Plating in Lithium-Ion Batteries by Electrical and Optical Methods
Simulation and real-life assessment of cell-to-cell variation of ageing lithium-ion batteries
Understanding the Energy Potential of Lithium‐Ion Batteries: Definition and Estimation of the State of Energy
Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization
Thermal Transients to Accelerate Cyclic Aging of Lithium‐Ion Batteries
Dissection and quantitative description of aging of lithium-ion batteries using non-destructive methods validated by post-mortem-analyses
Degradation Mechanisms in NMC-Based Lithium-Ion Batteries
The Influence of Electrolyte Volume on Calendaric Aging of Lithium‐Ion Batteries
Correlation of Health Indicators on Lithium‐Ion Batteries
Optimized charging of lithium-ion batteries with physico-chemical models
The Influence of Electrolyte Volume on Calendaric Aging of Lithium‐Ion Batteries
Multiperspective Optimization of Cell and Module Dimensioning for Different Lithium‐Ion Cell Formats on Geometric and Generic Assumptions
Identification of Lithium Plating in Lithium-Ion Batteries by Electrical and Optical Methods
Simulation and real-life assessment of cell-to-cell variation of ageing lithium-ion batteries
Understanding the Energy Potential of Lithium‐Ion Batteries: Definition and Estimation of the State of Energy
Selection of Electrolyte Additive Quantities for Lithium‐Ion Batteries Using Bayesian Optimization
Thermal Transients to Accelerate Cyclic Aging of Lithium‐Ion Batteries