Batalyse GmbH: Automated evaluation of battery data and provision for AI processes

Electrochemical energy storage and fuel cell technologies are key elements for a successful energy transition. With modular software packages, Batalyse GmbH, a spin-off of the Fraunhofer Institute for Chemical Technology ICT, enables the automated acquisition, documentation and evaluation of test data from batteries, accumulators and fuel cells. Based on the visualized results, material manufacturers and cell developers as well as R&D departments can further develop and optimize their products in a targeted and effective manner.

In batteries and fuel cells, optimized materials and components such as electrodes, active materials, electrolytes and separators determine the service life, quality and performance of the system. For electromobility or stationary energy storage, new, sustainable, recyclable material combinations are needed that are distinguished from available systems, for example, by a higher energy density or lower manufacturing costs. To accelerate the search for new materials and the right material mix, Batalyse GmbH offers a modular software solution for effective data evaluation and information management. The spin-off was founded in May 2021 as an independent company from the Fraunhofer ICT in Pfinztal by Dr. Markus Hagen and his colleague and CTO of Batalyse GmbH, Eran Nave.

Best possible battery of the future

“Manufacturers subject their batteries and materials to continuous controls and check numerous parameters such as the quality of the production processes or the electrodes. We support companies in this with our three software modules Data Analysis, Collect and Mind, in order to ultimately develop the best battery of the future,” says Dr. Markus Hagen, CEO of Batalyse GmbH. Data Analysis evaluates battery data and electrochemical tests from both laboratory test cells and commercial cells and compares the values. For example, buyers of battery cells will be able to compare suppliers and production batches. Which battery cell performs best is immediately apparent.

Data Analysis evaluates independently of the test device used and is compatible with all file formats and file structures – a major advantage over competing products. The Collect and Mind modules are available separately, but it is recommended to use the complete package, as all modules interlock. Collect data management software automatically collects and centrally stores all raw data and associated metadata. The tool is not limited to batteries and fuel cells, but also collects process, analysis, production and image data. Mind visualises this data from Collect and adds additional information such as customer, test item, material and project data, which can be categorised, filtered and networked. An authorization management system regulates who has access to the respective data and enables projects to be shared with customers. In addition, the results that Data Analysis delivers can be saved again in Collect and displayed in Mind. Collect and Mind capture all data and information and thus provide the basis for the use of artificial intelligence. “In research, development and production, data evaluation and documentation costs a lot of time. Behind a simple measurement are chains of information with hundreds of parameters on materials, processes and tools. By combining our software modules, we automate the entire data processing and can prepare data and information for an AI deployment,” adds the CEO.

While Data Analysis is already available, the prototypes Mind and Collect are currently being used at the Fraunhofer ICT. They should be available in early 2022. However, industrial customers can already test both modules.