The objective of the project was to utilise LOGEbat software to record and predict the electrochemical and physical processes in batteries, with a particular focus on ageing processes. The investigations concentrated on the influence of aging on the capacity and safety of lithium-ion batteries (LIBs) and other batteries. This allowed us to identify the critical operating conditions. The result is a modelling tool based on chemical knowledge that can be used to derive optimised operating strategies. LOGEbat provides a comprehensive and meticulous examination of the safety and ageing of battery cells. The system provides a prediction of capacity loss and battery safety, with electrode aging being a key factor in the calculation. LOGEbat is able to derive the most efficient operating conditions and identify those that are critical.

LOGEbat at a glance

• Comprehensive picture of battery cell safety and aging,
• Prediction of capacity fade and battery safety considering electrode aging using detailed chemistry,
• Derivation of optimized operating conditions,
• Identification of critical operating conditions.

Förderhinweis: Das folgende Projekt wurde unterstützt durch Fördermittel des Landes Brandenburg und der Europäischen Union. Es wird aus Mitteln des Europäischen Fonds für regionale Entwicklung (EFRE) kofinanziert.

Antragsnummer: 80258145/80258146
Projektlaufzeit: 01.02.2021 - 31.12.2022

Pseudo-2D model:​

Solid material (positive and negative electrode) is modelled with particles. ​The particles are symmetrical and have the same radius Rp.​ A diffusion model takes into account the availability of active material on the surface.

  Graphical user interface:​

• Simple interfaces to input data etc.​
• Purpose-orientated layout​
• Easy, intuitive operation​
• Graphical post-processing of results​