Solving the spectrum of battery design challenges
Material property database for cells and all pack materials. Create your own databases, or use available data to create your cell and pack level projects.
Cell material and design property database
Custom material creation
Upload cycler data and clean it to make it machine readable. Built in cleaning algorithms which clean spikes in experimental data and fill in missing points using state-of-the art algorithms and make them ready for further analysis. Supports all cyclers and HPPC, DCIR, aging and ARC data.
Automatic data cleanup
Automatic detection of key inflection points
Web based tool to design complex battery packs and cooling systems. Enables quick creation of battery pack design for various cell form factors.
Complex design creation in few clicks
Redefining Product Features
Keeping your eye on the ball while performing a deep dive on the start-up mentality to derive convergence on cross-platform integration.
Account for two stage venting to ensure high fidelity predictions during pack level thermal runaway initiation and propagation modeling. Automatic detection of onset of thermal runaway and cell pressure variation within the pack and accounts for heat convection due to vent gases. Enables more accurate prediction of thermal runaway initiation throughout the pack and enables design of pack vent location.
Thermal predictions for battery packs. Optimize pack design, thermal management and predict thermal runaway initiation in packs. Hybrid approach used to maximize accuracy and speed.
Predict vehicle performance and range at the get go. Estimate the impact of real life driving conditions, road conditions and temperature on vehicle range over the life of the vehicle.
Range prediction for any real life driving condition
EV drive cycle generation
Degradation predictions for cells and packs. Capture the impact of real life driving and operating conditions on battery life. State-of-the art hybrid algorithms capture both physical degradation mechanisms and manufacturing uncertainties.
Accurate fade prediction for cells and packs
Prediction for arbitrary drive cycles, road and ambient condition
Estimate cell performance at the get go. Predict cell behaviour for various design and material parameters of electrodes and electrolytes using state of the art physics based models
Capacity and discharge efficiency calculation
Volumetric energy density evaluation
Account for two stage venting to ensure high fidelity predictions during pack level thermal runaway initiation and propagation modeling
Account for cell to cell variations and predict pack degradation for real life drivecycles
ACCURACY AND SPEED
6 times faster and 5% more accurate than the nearest competitor
No hardware investment required, run unlimited jobs on secure servers. Flexible plans catering to your company’s simulation needs.