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Pioneering the Next Generation of Battery Simulation

DandeLiion is an ultra-fast solver for electrochemical models of planar lithium-ion cells and for thermal-electrochemical models of three-dimensional composite pouch cells. The platform delivers speed, precision and scale that researchers and engineers worldwide can rely on.

100x
Faster Than Alternatives
100M+
Equations in a Single Simulation
3D
Full Cell & Module Geometries
What is DandeLiion

An ultra-fast Newman-model solver

DandeLiion solves electrochemical models of planar lithium-ion cells, and thermal-electrochemical models of three-dimensional composite pouch cells, at a speed and scale suited to real engineering work.

It implements full Doyle–Fuller–Newman porous-electrode theory, the family of models first developed in the 1990s and known since as Newman models. Nonlinear diffusivity is carried in both the solid and the electrolyte phases, and thermal transport, electrochemistry and degradation are coupled together and solved rather than approximated.

Because the solver works in fully three-dimensional geometry, the same physics that describes a single cell also describes a large format cell or a complete module. Degradation mechanisms such as SEI growth and lithium plating form part of that solution instead of being applied afterwards as a post-processing step.

Why use DandeLiion

Speed and scale, without the setup

DandeLiion was written by the research team behind the numerical method, with the practical constraints of battery engineering in mind. The result is a solver quick enough to sit inside a design loop rather than alongside one.

  • Nonlinear diffusivity in both the solid and the electrolyte phases, so simulations reflect how real devices behave under load.
  • Three-way coupling between thermal transport, electrochemistry and degradation, solved directly rather than approximated.
  • Linear scaling to systems of more than 100,000,000 coupled differential-algebraic equations.
  • A fully coupled thermo-electrochemical module simulation in under thirty minutes on standard desktop hardware.
  • Validated against commercial cells including the Kokam 7.5 Ah, LG M50 and 21700 NCA/Gr-Si formats, with relative error below 1% across a half-hour drive-cycle fragment.
  • A built-in library of material properties and commercially relevant parameter sets, with the freedom to define your own.
  • Cloud execution through the browser or the API, so there is nothing to compile and no local hardware requirement.
Commercial use of DandeLiion

Built for industry, too

DandeLiion Technologies Ltd is spinning out from the Universities of Southampton and Portsmouth, founded by the research team that wrote the solver, and is a Faraday Institution Entrepreneurial Fellow.

In late 2023 DandeLiion entered a technology licensing agreement with About:Energy, a UK innovator in battery parameterisation, and the modelling software has since been integrated into their Voltt platform. For commercial enquiries, please get in touch.

Backed by Leading Institutions

The Faraday InstitutionUniversity of SouthamptonUniversity of PortsmouthAbout:Energy

The DandeLiion Team

DandeLiion is a collaboration between the Universities of Southampton and Portsmouth.

Giles Richardson

Co-founder & Executive Lead

CEO of DandeLiion and Professor of Applied Mathematics at the University of Southampton. His research covers the modelling of renewable energy generation and storage, particularly Li-ion batteries and perovskite solar cells.

View ProfileGiles Richardson

Susan Robertson

Chair & Non-Executive Director

A chartered accountant who has served as CFO of Japan Air Gases and of Velocys plc, and as Chief Operating Officer of the Faraday Institution.

View ProfileSusan Robertson

Ivan Korotkin

Co-founder & Technology Lead

DandeLiion's technical lead and developer. His work spans computational mathematics, computer science, physics and chemistry, focused on high-performance code for physics-based Li-ion battery simulation.

View ProfileIvan Korotkin

Smita Sahu

Co-founder & Operations Lead

Operations lead, core developer, and Senior Lecturer at the University of Portsmouth. Her research centres on numerical methods for partial differential equations and the modelling of lithium- and sodium-ion batteries.

View ProfileSmita Sahu

Jamie M. Foster

Co-founder & Scientific Advisor

Professor of Applied and Industrial Mathematics at the University of Portsmouth, researching Li-ion battery modelling, solid mechanics and the mathematics of coffee brewing.

View ProfileJamie M. Foster

Jascha Schewtschenko

Research Software Engineer

Research software engineer and senior scientist based at the Royal Observatory, University of Edinburgh, with a background in computational physics, high-performance computing and astrophysics.

View ProfileJascha Schewtschenko