Estimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability

Ageing of lithium-ion batteries results in irreversible reduction in performance. Intrinsic variability between cells, caused by manufacturing differences, occurs throughout life and increases with age. Researchers need to know the minimum number of cells they should test to give an accurate represe...

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Main Authors: Dechent, P, Greenbank, S, Hildenbrand, F, Jbabdi, S, Sauer, DU, Howey, DA
Format: Journal article
Language:English
Published: Wiley 2021
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author Dechent, P
Greenbank, S
Hildenbrand, F
Jbabdi, S
Sauer, DU
Howey, DA
author_facet Dechent, P
Greenbank, S
Hildenbrand, F
Jbabdi, S
Sauer, DU
Howey, DA
author_sort Dechent, P
collection OXFORD
description Ageing of lithium-ion batteries results in irreversible reduction in performance. Intrinsic variability between cells, caused by manufacturing differences, occurs throughout life and increases with age. Researchers need to know the minimum number of cells they should test to give an accurate representation of population variability, since testing many cells is expensive. In this paper, empirical capacity versus time ageing models were fitted to various degradation datasets for commercially available cells assuming the model parameters could be drawn from a larger population distribution. Using a hierarchical Bayesian approach, we estimated the number of cells required to be tested. Depending on the complexity, ageing models with 1, 2 or 3 parameters respectively required data from at least 9, 11 or 13 cells for a consistent fit. This implies researchers will need to test at least these numbers of cells at each test point in their experiment to capture manufacturing variability.
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spelling oxford-uuid:7f99149c-003c-42b2-80c1-4fc5075aea4d2022-04-29T10:58:04ZEstimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7f99149c-003c-42b2-80c1-4fc5075aea4dEnglishSymplectic ElementsWiley2021Dechent, PGreenbank, SHildenbrand, FJbabdi, SSauer, DUHowey, DAAgeing of lithium-ion batteries results in irreversible reduction in performance. Intrinsic variability between cells, caused by manufacturing differences, occurs throughout life and increases with age. Researchers need to know the minimum number of cells they should test to give an accurate representation of population variability, since testing many cells is expensive. In this paper, empirical capacity versus time ageing models were fitted to various degradation datasets for commercially available cells assuming the model parameters could be drawn from a larger population distribution. Using a hierarchical Bayesian approach, we estimated the number of cells required to be tested. Depending on the complexity, ageing models with 1, 2 or 3 parameters respectively required data from at least 9, 11 or 13 cells for a consistent fit. This implies researchers will need to test at least these numbers of cells at each test point in their experiment to capture manufacturing variability.
spellingShingle Dechent, P
Greenbank, S
Hildenbrand, F
Jbabdi, S
Sauer, DU
Howey, DA
Estimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability
title Estimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability
title_full Estimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability
title_fullStr Estimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability
title_full_unstemmed Estimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability
title_short Estimation of Li-Ion degradation test sample sizes required to understand cell-to-cell variability
title_sort estimation of li ion degradation test sample sizes required to understand cell to cell variability
work_keys_str_mv AT dechentp estimationofliiondegradationtestsamplesizesrequiredtounderstandcelltocellvariability
AT greenbanks estimationofliiondegradationtestsamplesizesrequiredtounderstandcelltocellvariability
AT hildenbrandf estimationofliiondegradationtestsamplesizesrequiredtounderstandcelltocellvariability
AT jbabdis estimationofliiondegradationtestsamplesizesrequiredtounderstandcelltocellvariability
AT sauerdu estimationofliiondegradationtestsamplesizesrequiredtounderstandcelltocellvariability
AT howeyda estimationofliiondegradationtestsamplesizesrequiredtounderstandcelltocellvariability