State Estimation of Lithium-Ion-Batteries using Strain Gages

As electric vehicles play a significant role in the climate crisis, battery technologies undergo a rapid development. For a reliable and safe application of LIBs, a precise state estimation is necessary. Currently, the State of X (SOX) of LIBs are determined based on voltage, current and temperature. The application of multiple sensor types enables more precise estimations, for not only first-life applications but also second-life integration of LIBs. In this study, strain gages have been applied to cylindrical cells to disclose the correlation between strain and SOC.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-07
DOI
https://doi.org/10.5281/zenodo.13898744
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

State Estimation of Lithium-Ion-Batteries using Strain Gages

Zenodo (CERN European Organization for Nuclear Research)
Advanced Battery Technologies Research
article

State Estimation of Lithium-Ion-Batteries using Strain Gages

article en

Abstract

As electric vehicles play a significant role in the climate crisis, battery technologies undergo a rapid development. For a reliable and safe application of LIBs, a precise state estimation is necessary. Currently, the State of X (SOX) of LIBs are determined based on voltage, current and temperature. The application of multiple sensor types enables more precise estimations, for not only first-life applications but also second-life integration of LIBs. In this study, strain gages have been applied to cylindrical cells to disclose the correlation between strain and SOC.

Zenodo (CERN European Organization for Nuclear Research)
AIT Austrian Institute of Technology GmbH (AT)
Climate action
Openalex Percentile: Top 65%
Advanced Battery Technologies Research
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State Estimation of Lithium-Ion-Batteries using Strain Gages · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS