Identifying the Goldilocks Zone: Parameter Estimation for Li-ion Battery Modeling

Beginning of Life (BoL) parameter calibration is the cornerstone of reliable digital twins for lithium-ion batteries. Yet, identifying the “Goldilocks Zone” of parameters—where predictions are both accurate and reliable—remains a formidable challenge. Parameters must be fine-tuned across the battery’s entire lifecycle to ensure dependable safety assessments and performance predictions. However, the process of extracting and optimizing these parameters is far from straightforward.

Having an incorrect parameter set can lead to significant modeling errors, jeopardizing the reliability of simulations. That’s where oorja’s cutting-edge Battery Application Suite comes in. Leveraging a hybrid approach, our software tackles this complexity head-on by extracting insights from HPPC data to simulate real-world battery behavior under diverse operating conditions. Join us in this session, designed for battery researchers, engineers, and industry professionals, where we explore how oorja’s robust BoL multi-parameter optimization is simplifying + expediting battery modeling, empowering users to achieve accurate real-world results.

Key Highlights:

1. Tackling BoL Parameter Estimation Challenges (Kinetic/ Transport): Learn how obtaining the right set of BoL parameters is pivotal for effective physics-based modeling.

2. How oorja has Simplified + Expedited the Process: Learn the ease of handling experimental data with the oorja interface, reduced time for optimization, and our optimization techniques.

3. Practical Applications and Use Cases: Understand how parameter optimization is central to advancements in lab testing, cycle life prediction, and degradation modeling—paving the way for robust simulation models.

Why Attend?

Learn how the oorja Battery Application Suite simplifies parameter extraction and experimental data handling, reduces optimization time, and ensures robust model calibration.