Ionworks

White paper

Designing cells in software

Test less. Predict more.

How a physics-based model is parameterized from a handful of standard tests, how accurate it is on public LG M50 data, and two design studies it answers before a cell is built: the energy–power trade-off and the fastest charge that avoids lithium plating.

Cover of Designing cells in software

What you'll learn

  • What physics-based models add to equivalent circuit models, and where each fits
  • Which tests and design data parameterize a cell model
  • Accuracy on rate, pulse, drive-cycle and thermal tests
  • Two design studies: energy versus power, and fast charge without plating

Who it's for

  • Cell and pack engineers
  • Modeling leads
  • R&D managers
Mattia Sivero, Materials engineer, FAAM
Now it's plug and play. I want to change this parameter, I change it, I go. I'm not losing time fixing the software. You buy Ionworks and you're three, four years ahead.
Read the FAAM case study