Journal
ENERGY TECHNOLOGY
Volume 11, Issue 7, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/ente.202201398
Keywords
aging; batteries; capacity distribution; cell-to-cell variation; data mining; health indicators; lithium ion
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This paper presents a detailed correlation index of health indicators for lithium-ion batteries, which is important for cell selection and reducing cell-to-cell spread. The health indicators considered include impedance measurements at different pulse lengths, capacity values at different discharge procedures and checkups, weight, and initial voltage. The study is based on four different aging datasets, including variations in cell chemistry (NMC, LFP, NCA), cell type (round, prismatic), as well as size and designated application (consumer, automotive). A publicly available dataset is included for easy replication of the results.
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.
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