Frequently Asked Questions

Request access through the form on our home page. We'll get in touch to understand what you're modelling and set you up with an account on the platform.

Pricing depends on how you intend to use the platform — scale, usage, and whether you need API access or bespoke modelling work alongside it. Get in touch and we'll put together something appropriate.

Yes. DandeLiion remains available for academic use at minimal cost. Get in touch with your institutional details and we'll get you set up.

Yes. Alongside the platform we take on bespoke modelling and consultancy work: parameterisation, custom studies, and integration into existing engineering workflows. Get in touch to discuss what you need.

Your simulations and past results are safe. They remain accessible through the legacy portal while we transition to the new platform.

No. DandeLiion runs in the cloud and is used through your browser or through the API. There is nothing to compile and no local hardware requirement beyond a network connection.

Yes. The platform exposes an API, and you can generate and manage API keys from your account portal, so simulations can be called directly from your existing scripts, optimisation loops or CI pipelines rather than through the web form.

Yes. Your parameter sets, simulation inputs and results are treated as confidential and are not shared with third parties. If your work requires a formal confidentiality agreement, get in touch and we will put one in place.

DandeLiion scales linearly and solves systems of more than 100,000,000 coupled differential-algebraic equations. A fully coupled thermo-electrochemical module simulation completes in under thirty minutes on standard desktop hardware.

Full Doyle–Fuller–Newman porous-electrode theory, with nonlinear diffusivity in both the solid and electrolyte phases, and three-way coupling between thermal transport, electrochemistry and degradation — solved rather than approximated, in fully three-dimensional geometry.

Yes. DandeLiion includes SEI growth and lithium plating models, coupled to the thermal and electrochemical solution rather than applied as a post-processing step.

Yes, extensively. DandeLiion has been validated against commercial cells including the Kokam 7.5 Ah, LG M50 and 21700 NCA/Gr-Si formats — under constant-current discharge, realistic time-varying current demand, GITT experiments and full drive cycles, where relative error stays below 1% across a half-hour fragment. Internal states have been checked too, not only terminal voltage: we have compared a graphite-anode DFN model against MRI data mapping intercalated lithium concentration. Worked examples are on the home page, and the underlying method is set out in our publications.

DandeLiion is built around a second-order spatial discretisation and a solver that scales close to linearly with problem size. That combination is what makes fully coupled, three-dimensional, thermally coupled simulation practical at module and pack scale rather than only at single-cell scale. Benchmarks against established DFN implementations are given in our published paper.

Our spatial discretisations are second order, so the associated error falls with the square of the grid size. Time stepping is adaptive with user-defined error tolerances, giving you direct control. Our methods are designed so that total lithium conservation carries over exactly from the continuous model to the discrete one — the lithium inventory is exactly zero-sum in every simulation.

You're free to define any tortuosity or permeability you like, set separately for anode, cathode and separator. Many of our default parameter sets use the Bruggeman approximation to estimate permeability where a better alternative isn't available.

Yes. Two different particle sizes can be defined across the thickness of an electrode — see the "Double particle size" section of the simulation form.

Yes. DandeLiion ships with commercially relevant parameter sets — Kokam 7.5 Ah, LG M50 and 21700 NCA/Gr-Si — together with a library of material properties, and you can define entirely custom parameter sets for your own cells.

A range of lithium-ion chemistries are already parameterised and ready to use, and you are also free to define your own materials.

In principle every electrode parameter — overpotential, diffusivity, conductivity, geometry and so on — should be well characterised. In practice the model is more sensitive to some parameters than others, and which matter most depends on operating conditions; at low C-rates, for example, overpotential tends to dominate electrode behaviour.

No. The governing equations implemented in the solver are fixed and cannot be edited or extended by users.

DandeLiion is closed-source commercial software. The numerical methods behind it are published in full and open to inspection in our publications.

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 DandeLiion modelling software has been integrated into their Voltt platform.

Please cite: I. Korotkin, S. Sahu, S. E. J. O'Kane, G. Richardson and J. M. Foster, “DandeLiion v1: An Extremely Fast Solver for the Newman Model of Lithium-Ion Battery (Dis)charge”, Journal of The Electrochemical Society 168, 060544 (2021). doi:10.1149/1945-7111/ac085f