This study, led by Prof. Dr. Oliver Bohlen and Prof. Dr. Herbert Palm, develops and applies new methods of optimal experimental design to efficiently characterize the aging behavior of lithium-ion batteries. The goal is to obtain precise model parameters with minimal experimental effort. A novel approach called parameter-individual optimal experimental design (pi-OED) was developed to specifically improve the accuracy of key parameters. pi-OED is integrated into a multi-stage optimal experimental design framework (MS-OED) that enables efficient experiments even with limited prior knowledge. Simulations and practical tests on commercial cells demonstrate that MS-OED reduces effort while enhancing model quality. These methods significantly advance statistical experimental design in battery research and support the development of long-lasting energy storage systems.

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