How We Built a Physics-Based Model Pipeline
Learn how Breathe developed a industrial-scale process to deliver high-fidelity physics-based models in weeks - not months.
Our whitepaper reveals the full pipeline: from teardown and three-electrode experiments to validation, robustness testing, and final deployment.
What You’ll Learn
Why physics-based models outperform empirical and data-driven approaches, especially under sparse data, extreme temperatures, high C-rates, and real-world duty cycles.
How Breathe’s industrialised pipeline works end-to-end — from teardown and three-electrode experiments to material characterisation, parameter extraction, validation, and deployment.
How we deliver high-fidelity models in weeks, not months, including our 2.5-week model throughput and four-week cell-to-model turnaround.
The validation and robustness framework that ensures every model is accurate, stable, and transparent across operating domains.
How industrialisation accelerates battery development, reducing test burden, increasing insight velocity, and creating scalable, repeatable modelling workflows.
Download the whitepaper now
Who This Is For
This whitepaper is designed for engineering and technical leaders involved in battery development, including:
Battery engineers and electrochemists focused on modelling, validation, and cell behaviour.
Simulation and modelling teams exploring physics-based approaches for improved accuracy and reliability.
OEMs and pack developers requiring predictive models to speed up design and testing cycles.
Cell manufacturers and R&D teams aiming to understand or benchmark internal states, dynamics, and ageing behaviour.
Energy storage and electrification innovators looking to deploy robust, scalable simulation tools across products and platforms.