These slides were presented at the NAFEMS World Congress 2025, held in Salzburg, Austria from May 19–22, 2025.

Abstract

In this presentation, we present a comprehensive overview of the workflow involved in battery simulation, detailing the various domains that contribute to a holistic understanding and management of battery systems. The simulation workflow integrates multi-use equivalent circuit models (ECMs) that serve as the foundational framework for battery behavior representation. These ECMs are characterized through a robust methodology that ensures accuracy and reliability across different usage scenarios. The core of the discussion revolves around the synergies between different simulation domains, particularly focusing on their collective role in enhancing battery thermal management. Effective thermal management is critical for maintaining battery performance and longevity, and our approach leverages the strengths of each simulation domain to address this challenge comprehensively. Another focus is model order reduction (MOR), distinguishing between classical techniques and physical model order reduction methods. Classical MOR techniques, which have been widely used in engineering simulations, simplify complex models by reducing their computational complexity while retaining essential characteristics. However, physical model order reduction methods go a step further by incorporating domain-specific insights, which lead to even more efficient and accurate simulations. Furthermore, we explore the integration of artificial intelligence (AI) methods to accelerate simulation studies. AI techniques, particularly machine learning algorithms, have shown great promise in reducing the time required for simulation without compromising on the fidelity of the results. By training models on extensive datasets, AI can predict battery behavior under various conditions, thus significantly accelerating the simulation process. The importance of combining classical and modern approaches to optimize battery simulations is a key message of the presentation. The interplay between equivalent circuit models, thermal management synergies, model order reduction techniques, and AI methods creates a robust framework that can address the multifaceted challenges of battery simulation. Through this integrated approach, we demonstrate how simulation studies can be made more efficient, paving the way for the development of advanced battery technologies.