Whitepaper: Model distillation for batteries
Derive control-ready ECMs using physics-based models to save months of lab work.
Battery models are essential for performance, safety, and BMS control. This paper shows how to cut months of lab work by distilling SPMes into fast ECMs.
What you’ll learn:
- Extending to aged states and new designs
- How ECMs capture SoC, SoE, and thermal losses for BMS control
- Why traditional parameterisation is slow, and how to replace it with virtual data
- Generate a physics-based model on fewer pulse tests than the empirical model and achieve mean RMSE accuracy within 55 mV and 1.5°C
Who should read this whitepaper:
- Battery & system engineers, BMS developers, simulation leads, and R&D teams looking to accelerate modelling, validation, and lifecycle control.
