The aim of the project is to describe and predict the electrochemical and physical processes in batteries using the LOGEbat software. In particular, the aging of the batteries is to be taken into account.
Within the scope of the project, the effect of various aging processes of lithium-ion batteries and other batteries on the available capacity as well as the short-term and long-term safety of the batteries was investigated. The aim of the project is to build up an in-depth understanding of the safety and aging-relevant physical and chemical processes involved, especially in lithium-ion batteries (LIBs). In this way, critical operating conditions and critical design parameters will be identified.
The result is a modeling tool that can be used to derive optimized operating strategies based on detailed chemistry.

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​