We develop innovative battery concepts with a strong focus on virtual methods such as numerical simulations and real-time models. This enables us to identify safety risks at an early stage, make testing more efficient, and accelerate the market readiness of new technologies. With this approach, we contribute to greater safety, sustainability, and efficiency in battery technology.

We investigate how aging processes affect battery safety, for example through altered stress limits or the propagation of damage. Using detailed analyses and accelerated aging tests, we develop methods to detect risks early and realistically account for lifetime in evaluations. This reduces testing efforts and supports reliable strategies for safe and long-term operation.

We monitor and analyze battery conditions using advanced non-destructive methods, both online and offline, to ensure safety and reliability. Our research also addresses second-life and re-use scenarios through cell classification and in-use safety analyses. In this way, we improve safety and extend battery lifetime by detecting potential risks at an early stage.