Identifying degradation of lithium-ion batteries using acoustic emissions

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A Li-ion based battery module will have cells arranged in series or parallel, which means they are charged or discharged simultaneously. Even though cells are manufactured identical, each cell can age differently based on location in the battery module or inherent small differences in cell. As per the state-of-art review in industries, battery management system (BMS) based on voltage, temperature and current is used to monitor the health of battery. However, the major disadvantage of the existing BMS is that it cannot measure the stage of degradation in the battery. The number of battery accidents seen indicates that BMS is not sufficient to control risk. Therefore, in-addition to the BMS, we require a battery monitoring system that can foresee internal battery failures in real time and diagnose incipient failures. Therefore, we will use acoustic emission (AE) technology to study the degradation associated with Li-ion batteries as it can detect and identify internal failures and also the charging-discharging cycle. AE is elastic waves in material due to mechanical stress release needed to be sampled at high frequency (20kHz-2MHz) that can be monitored to study failures, degradation mechanisms at microscopic level, and to identify multiple failure modes simultaneously. Please see the attached file for additional details regarding project. 

Oppdragsgiver

Norwegian Research Centre AS

NORCE er et forskningsinstitutt med stor faglig bredde og sterke kunnskapsmiljøer. Vi leverer forskning og innovasjon innen energi, helse, klima, miljø, samfunn og teknologi. Våre løsninger svarer på sentrale samfunnsutfordringer og bidrar til verdiskaping lokalt, nasjonalt og globalt.

Oppgaveforslag

Type: Fra virksomhet
Publisert: 2022-09-22
Status: Ledig
Grad: Uspesifisert

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