High-Performance Battery Simulation for Design and BMS
Simulate Li-ion cells and large battery packs in 3D with full electrochemical and energy-conserving thermal models. Explore cell designs, pack layouts and cooling strategies.
Advanced Battery Modelling
Compare pack layouts before building prototypes, identify thermal hot spots and assess cooling designs within weight and space limits. DandeLiion brings full electrochemical physics to battery engineering.
Thermal-Electrochemical Design
Full Newman/DFN electrochemical models coupled to energy-conserving heat generation. Resolve temperature gradients and uneven local discharge within large-format cells and across packs, including bespoke cooling systems.
Fast Battery Management Tools
Electrochemical pack models demonstrated on resource-constrained automotive BMS hardware. We tailor models and solvers to your application and computational hardware.
Run simulations in your browser or integrate the solver into your engineering workflow with our lightweight Python client. Cloud execution is available through the portal and API, with deployment on customer servers available for bespoke applications.
A spin-out from the Universities of Southampton and Portsmouth, built on the Faraday Institution's investment in multiscale battery modelling. Our partnership with About:Energy brings complementary expertise in cell parameterisation.
Platform Capabilities
Experimental accuracy
Reproduces measured pack temperatures during pulsed discharge and relaxation, with validation against experiments on a 4s4p battery pack.
View ExampleFast full-physics simulation
Accelerates battery design studies using a high-performance solver for the full Newman/DFN electrochemical model, without reduced-order approximations.
Scalable pack modelling
Handles over 100,000 coupled DFN models on a standard laptop, with computation time scaling linearly as the system grows.
View ExampleEnergy-conserving thermal models
Includes heat of mixing within electrode materials for more accurate predictions of battery heating and temperature.
View ExampleDetailed 3D cell simulation
Resolves internal temperature gradients and uneven local discharge to help evaluate large-format cell designs and cooling strategies.
View ExampleCustom pack cooling
Couples electrochemical behaviour with heat transfer to simulate bespoke battery packs and cooling systems, including liquid cooling.
View ExampleEmbedded BMS simulation
Brings pack-scale electrochemical models into onboard battery management, with demonstrated deployment on resource-constrained automotive BMS hardware.
Flexible integration and deployment
Supports engineering workflows through Python API access and MATLAB/Simulink models, with deployment in the cloud or on your own servers.
Validation Against Experiment
4s4p pack validation against experiment
Fully coupled 3D thermo-electrochemical simulation with 80 electrically and thermally coupled DFNs.
Full 4-hour discharge (10× 6-minute 1C pulses + 1.5-hour relaxation): under 1 minute on a standard desktop or in the cloud.


Examples
A selection of simulations run on DandeLiion. Each compares model output against experiment or demonstrates large-scale 3D performance.
Pouch cell heating during 5C discharge
A fully coupled thermo-electrochemical 3D simulation built from 9,600 coupled DFN models, showing heat generation across the cell during a demanding 5C discharge.
Tesla Model S battery module simulation
Temperature distribution across a complete module during a 1C discharge. A fully coupled thermo-electrochemical 3D simulation with liquid cooling, made up of 440 coupled DFN models.
Request PowerPoint slides for details
Temperature coupling
Temperature distribution inside a 3D pouch cell, with the full DFN model solved in every finite volume. This single simulation solves more than 5 million coupled differential-algebraic equations.

Drive Cycle simulation
A half-hour fragment of a drive-cycle simulation (red) compared against experiment (black). The relative error (orange) never exceeds 1%.

Charge / discharge experiment
An LG M50 cell simulated under a realistic, time-varying current demand.

Commercial NCA/Gr-Si battery discharge
A high-energy 21700 NCA/Gr-Si cell discharged at two different temperatures, with results compared directly against experiment.

High-current Drive Cycle simulation
A high-current drive cycle with a highly non-uniform current profile, where peak charge and discharge currents reach 10C.

Secondary variables
A constant-current (1C) charge and discharge of a commercial Kokam 7.5 Ah pouch cell. Both microscopic and macroscopic variables — lithium-ion concentration in particles, potentials and more — can be saved at user-defined times and post-processed offline.

GITT experiment simulation
A 21700 NCA/Gr-Si cell undergoing a Galvanostatic Intermittent Titration Technique (GITT) experiment, with measured current and voltage in excellent agreement with simulation.

GITT simulation (zoomed-in)
A zoomed-in view of the GITT comparison, highlighting just how closely simulation tracks experiment.
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Legacy Simulation Portal
Our previous simulation engine is being retired as we prepare to launch a brand-new platform. If you need your historical simulation queue or past results, the legacy portal remains available for a limited time.
