Ultra-Fast Online Solution to the Newman Model of Li-Ion Battery Performance

Welcome to DandeLiion

These web pages provide general information on the DandeLiion solver for lithium-ion batteries. It also allows you to submit simulations which will be carried out on our server for free; the results can be viewed in the browser of downloaded for detailed post-processing. Suggestions and contributions are welcome! Feel free to contact us.

What is DandeLiion?

DandeLiion is an ultra-fast solver for electrochemical models of planar lithium-ion cells and thermal-electrochemical models of three-dimensional composite pouch cells. It solves models of the form first described by Doyle, Fuller, and Newman in the mid 90s, and which are now commonly known either as Newman models, or as porous electrode theory.

Why use DandeLiion?

  • It is significantly faster than its competitors for single cell (anode/cathode pair) simulations.

  • It comes with a library of common electrode parameters and chemistries.

  • Simulations can be run for free via this website, meaning that no installation is required.

  • It is able to cope with larger systems of equations than its competitors (it exhibits linear scaling).

  • These features mean that computations can be run that are not possible using other software. We have the computational power to solve the 10s of millions of equations that are required to accurately model thermally coupled models of realistic device such as pouch cells. These large computations can be solved in modest compute time (often <30 minutes) on a standard desktop computer.


Pouch cell heating during 5C discharge. A fully coupled thermo-electrochemical 3D simulation (9600 coupled DFN models).
  • Nonlinear diffusivity in the solid, and in the electrolyte enables accurate simulation of real devices.

  • Full thermo-electrochemical coupling.

  • The ability to solve in the 3-dimensional geometries required for pouch cells.

  • Linear scalability and ability to solve systems of ~100,000,000 (and even more, depending on the machine's RAM) Differential Algebraic Equations (DAEs).

  • Accurate reproduction of real experimental data including drive cycles, not just discharge curves.

  • Several predefined, commercially relevant parametrisations (Kokam 7.5Ah pouch cell, LG M50 5Ah, 21700 NCA/Gr-Si 4.5Ah).

  • A library of material properties so that users can design their own cells.

  • Users can define their own parameters sets allowing highly customizable numerical experiments.


Temperature coupling

Temperature distribution in a 3-D pouch cell. The full DFN model is solved in each finite volume. This simulation involves solving more than 5M coupled differential-algebraic equations.

Drive Cycle simulation

A 1/2 hour fragment of a drive cycle simulation (red line) in comparison with experiment (black line). The relative error (orange line) does not exceed 1%.

Charge/discharge experiment simulation

LG M50 battery simulation with a time-varying current demand.

Commercial NCA/Gr-Si battery discharge

High-energy 21700 NCA/Gr-Si battery simulation. Discharge at two different temperatures and comparison with experiment.

High-current Drive Cycle simulation

An example of a high-current drive cycle simulation with a highly a non-uniform current profile. Peak charge and discharge currents reach 10C.

Secondary variables

A constant-current (1C) charge and discharge profile of a commercial Kokam (7.5 Ah) pouch cell. Both micro- and macroscopic variables (such as concentration of Li ions in particles, potentials, etc.) at user-defined times can be saved to a set of files and post-processed offline.

GITT experiment simulation

21700 NCA/Gr-Si battery undergoing a Galvanostatic Intermittent Titration Technique (GITT) experiment. Experimental current and voltages vs simulation with excellent agreement.

GITT simulation (zoomed-in)

A zoomed-in picture of the comparison with the experiment demonstrating the quality of the comparison.

Submit your simulation


Learn how to setup your simulation


Check out our Getting Started page, FAQ, or email to team@dandeliion.com to get more information about the project

Institutional Partners

The Faraday Institution
University of Southampton
University of Portsmouth
Imperial College London