About

DigiCell actively explores the potential of artificial intelligence (AI) in battery research and development. AI algorithms can analyse vast datasets encompassing material characterisation, battery testing, and modelling results. This sophisticated analysis allows AI to identify patterns and trends that may elude human observation, accelerating the development of advanced batteries and the improvement of manufacturing processes.

DigiCell is advancing the development of a digital twin for battery manufacturing. This virtual representation of the actual production process permits real-time monitoring and optimisation. Utilising sensor data from the production line and integrated models, the digital twin proactively identifies potential issues and suggests improvements, ultimately leading to the production of higher-quality batteries.

Multiscale modelling methods are crucial for handling processes at various scales in pilot line applications. Atomistic modelling, while accurate, has limitations in addressing battery phenomena.

DigiCell leverages sophisticated computational models to simulate battery behaviour under diverse operating conditions. These models integrate data from various sources, including material characterisation and battery tests. By employing this powerful toolset, researchers can predict battery performance, identify potential problems, and optimise designs, ultimately leading to the development of superior and more efficient batteries.

Throughout the production process, from pilot lines to full-scale electric vehicle battery packs, DigiCell utilises a comprehensive suite of tests to evaluate battery performance, safety, and lifespan. These assessments enable early identification of any potential issues, ensuring batteries meet the necessary standards for reliable operation.

Characterising battery materials is complex due to the intricate materials and interfaces. Challenges include reducing the use of scarce or problematic metals and improving battery re-use and recycling.

DigiCell is developing advanced material characterisation techniques, such as nanoscale mechanical and electrochemical imaging techniques, to meticulously examine each battery component separately and accurately determine key material parameters.

This comprehensive understanding of materials and their behaviour lays the groundwork for improved battery performance and the development of novel, sustainable materials, including chemistries beyond lithium.

DigiCell focuses on the reliable design of sustainable battery materials and processes by collaborating with standardisation bodies like ISO/IEC and CEN/CLC to create clear, consistent international standards for battery technology, encompassing everything from material characterisation to recycling. This includes contributing to standardised specifications and measurement procedures for Key Control Characteristics. DigiCell’s commitment to standardisation empowers the development of reliable and sustainable batteries for the future.

Traditionally, battery testing power levels have not reflected real-world use, limiting accuracy. DigiCell bridges the gap by developing methods to test batteries at megawatt power, a major leap from the usual kilowatt range. This breakthrough allows for testing under more realistic conditions, leading to the development of more powerful batteries.