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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.

(i)

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.

(ii)

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.

Web App and Python API

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.

Research and Industry Foundations

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.

10–100×
Faster in Benchmarked Cases
100,000+
Coupled DFN Models on a Laptop
<1 min
4s4p Pack Simulation on a Desktop
2 min
Liquid-Cooled Module with 440 DFNs
Core Features

Platform Capabilities

Experimental accuracy

Reproduces measured pack temperatures during pulsed discharge and relaxation, with validation against experiments on a 4s4p battery pack.

View Example

Fast 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 Example

Energy-conserving thermal models

Includes heat of mixing within electrode materials for more accurate predictions of battery heating and temperature.

View Example

Detailed 3D cell simulation

Resolves internal temperature gradients and uneven local discharge to help evaluate large-format cell designs and cooling strategies.

View Example

Custom pack cooling

Couples electrochemical behaviour with heat transfer to simulate bespoke battery packs and cooling systems, including liquid cooling.

View Example

Embedded 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.

4s4p Battery Pack

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.

The 4s4p test pack seen from above: sixteen cylindrical cells in a holder with bus bars and sensor wiring.
4s4p packTop view
3D render of the 4s4p pack model: sixteen cells, each split into five stacked sections, on a base plate.
4s4p pack model5×4×4 coupled DFNs
Simulation Results

Examples

A selection of simulations run on DandeLiion. Each compares model output against experiment or demonstrates large-scale 3D performance.

3D SIMULATIONTHERMO-ELECTROCHEMICAL

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.

3D SIMULATIONLIQUID COOLING

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
3D POUCH CELL5M+ DAEs

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 CYCLEHIGH ACCURACY

Drive Cycle simulation

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

LG M50TIME-VARYING CURRENT

Charge / discharge experiment

An LG M50 cell simulated under a realistic, time-varying current demand.

21700 NCA/Gr-SiTEMPERATURE COMPARISON

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-CURRENT10C PEAK

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.

KOKAM 7.5 AHMACROSCOPIC VARIABLES

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.

GITT21700 NCA/Gr-Si

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 ZOOMHIGH QUALITY

GITT simulation (zoomed-in)

A zoomed-in view of the GITT comparison, highlighting just how closely simulation tracks experiment.

The DandeLiion Team

DandeLiion is built by a dedicated team of researchers and engineers from the Universities of Southampton and Portsmouth. Meet the people behind the platform.

Meet the Team

Contact Us

Connect with our team to discuss your interest, your application, or a potential partnership.

Location
Network Eagle Lab, Portland Terrace, Southampton, SO14 7SJ

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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.