KI2L

When using lithium-ion batteries, the focus should always be on safety. Currently, the discharge capacity of a battery is used as the most important parameter for determining the state of health. However, as batteries age, non-linear effects occur that make it difficult to assess the safety status via the capacity. At the same time, the number of aged lithium-ion batteries is increasing rapidly, particularly due to their increased use in electromobility. These batteries can generally continue to be used in so-called second-life applications. It is of particular interest here to be able to carry out a rapid assessment of the safety status. The aim of the project is therefore to develop a process that can use artificial intelligence (AI) to quickly determine the current state of health of a battery. In addition, a welding process is being developed to remove aged batteries from a system and prepare them for second-life applications.

Fraunhofer HHI is taking on the role of project coordinator and is responsible for integrating both electrical and fiber optic sensors into battery modules provided by TESVOLT AG. These are then subjected to forced ageing in experiments and an AI is trained from the data obtained.