A novel pulse resistance based thermal runaway early detection approach for lithium-ion and sodium-ion batteries
Temperature monitoring of lithium-ion batteries (LIBs) and sodium-ion batteries (SIBs) is essential for safe operation, as excessive temperature can trigger a thermal runaway (TR) event. Although surface temperature sensors have traditionally been used, their limitations have led to the exploration of alternative methods. Notably, estimating temperature based on pulse resistance ( R DC ) has emerged as a promising approach. Nonetheless, this method has not yet been investigated at temperatures exceeding the cell’s safety limits, highlighting a research gap for its application in TR early detection. In this study, the R DC -temperature relationship was characterized at temperatures exceeding the cell’s safety limits for two different LIB technologies and a SIB. The results revealed a turning point in the R DC -temperature relationship between 60 °C and 70 °C for both LIB technologies and at approximately 110 °C for the SIB. From this turning point, R DC increases with increasing temperature. This contradicts the loss of sensitivity of R DC to temperature variations predicted by the Arrhenius model at temperatures typically encountered during a TR event. Finally, a novel TR early detection approach based on the characterized R DC behavior during a TR event is proposed. The strength of the method lies in the combination of two monitored R DC properties changing during TR. • Thermal runaway can be detected early by monitoring the pulse resistance. • Combining two pulse resistance characteristics enhances detection reliability. • There is a turning point in the pulse resistance-temperature relationship. • The Arrhenius model cannot describe the resistance’s behavior at high temperature. • Current collectors’ resistance significantly contribute to the turning point.
Authors
- Sebastian Ludwig (ORCID: https://orcid.org/0000-0002-6059-9567)
- Philipp Jocher (ORCID: https://orcid.org/0000-0003-1335-8434)
- Andreas Jossen (ORCID: https://orcid.org/0000-0003-0964-1405)
- Manuel Rubio Gomez (ORCID: https://orcid.org/0000-0003-1824-2203)
- Alexander Frank (ORCID: https://orcid.org/0000-0001-8069-2948)
- Yaroslava Fedoryshyna (ORCID: https://orcid.org/0009-0004-5717-3495)
Institutions
- Technical University of Munich (DE)
Publication Details
- Journal
- Journal of Energy Storage
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1016/j.est.2025.116640
- Citations
- 5
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 3.41