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.
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.
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.
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.
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.
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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.
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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.
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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.
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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.
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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.
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