Simulation & Modeling

The Fraunhofer Battery Alliance uses state-of-the-art characterization and simulation methods to precisely map the properties of batteries from the atomic scale through to their behavior in the powertrain. This includes quantum chemical methods for material characterization, physical continuum models for cell design and real-time-capable battery models for integration into battery management systems (BMS) and hardware-in-the-loop (HIL) systems. Our member institutes develop detailed and analogous models for strength analysis and optimize cell structures for operational safety and crash safety. The models are used for simulations to test the behavior of battery modules and systems in advance. We also analyze and dimension energy storage systems, determine optimal circuit variations and develop innovative BMS for monitoring and diagnosing battery conditions

• Physical model development from the quantum mechanical level through to the whole battery
• Analysis of the influence of nanostructures on material parameters
• Virtual cell design
• Analysis and application-oriented dimensioning of energy storage systems, including optimal energy management
• Development of a battery management system for monitoring state of charge (SOC), aging (SOH) and interior cell temperature, and for diagnosing storage modules
• Testing and evaluation of on-board-systems, battery management systems or holistic systems such as electric vehicles with virtual batteries

Simulation of Electrochemical Impedance Spectroscopy

Battery Cells with Integrated Sensors: Simulation-Supported Concept Finding

Material design for more powerful lithium-ion batteries (only in german)

Quantum Computing - Use of innovative material simulation

ResHy – Resource-Saving Hybrid Battery - Construction, Integration and Operational Optimization