Lifetime Investigation of Lithium-Ion Cells
How can the ageing mechanisms of lithium-ion cells be accurately analysed and predicted? We demonstrate how innovative testing methods and non-invasive battery analysis contribute to a better understanding of modern battery systems.
How do lithium-ion cells age under realistic conditions – and how can ageing mechanisms be detected at an early stage without damaging the cells? Our new white paper, “Lifetime Analysis of Lithium-Ion Cells – Evaluation of a Novel Ageing Concept Using Non-Invasive Battery Analysis Methods”, addresses these questions.
As part of extensive long-term tests, different cell types were examined under varying temperature and load conditions. A novel test concept was employed: so-called parameter cycling. The aim is to analyse individual influencing factors in a targeted manner and to be able to assess the ageing processes of battery cells more precisely.
The white paper also demonstrates how modern data science methods and non-invasive analysis techniques such as DVA (differential voltage analysis) and ICA (incremental capacitance analysis) can be used to reliably monitor the health of battery cells throughout their entire lifecycle.
In the white paper, you will learn, among other things:
which stress factors influence the ageing of lithium-ion cells
how cyclic and calendar ageing differ
how parameter cycling opens up new possibilities in battery development
what role non-invasive analysis methods play in battery diagnostics
how data science is used to analyse large datasets
This white paper is aimed at professionals in the fields of electric mobility, battery development, testing and data analytics, as well as anyone interested in the future of high-performance, long-lasting battery systems.