Form Factor Flexibility: Analyze different battery form factors and optimize associated design parameters

Innovative Design Exploration: Evaluate out-of-the-box solutions to enhance overall cell performance

Design Parameter Optimization: Fine-tune critical aspects such as:

• Electrode porosity
• Separator thickness
• Tab location
• Anode overhang

Leverage GT’s powerful tools for fast, intelligent optimization:

• Design of Experiments (DOE) for sensitivity studies
• Design Optimizer for multi-objective tuning
• Distributed Computing for high-speed simulations across large parameter sets
• Validated, Comprehensive Material Database: Access a library of the most widely used, industry-validated materials for immediate implementation
• Continuous Material Database Updates: Stay ahead with ongoing updates that integrate the latest and most advanced materials on the market

Load and Temperature: Predict battery response under flexible loads conditions and temperatures, ensuring reliable performance across extreme conditions and supporting control strategies

Standard cycling loads: Analyze battery performance under both standard and application-specific cycling patterns to optimize longevity and performance in real-world, high-demand scenarios.

Next-generation batteries: Stay up to date with the latest battery technologies. Within GT-AutoLion you can effortlessly predict the behavior of Na-ion, Solid State, and Li-Metal batteries technology

System Integration: Seamlessly integrate electrochemical or electro-thermal models into system-level simulation to study battery performance over standard drive cycles (automotive), flight cycles (aerospace), operational cycles (marine), and varying weather conditions (grid storage).

Physics-Based Aging Models: Accurately predict battery degradation over time

• SEI layer growth
• CEI layer growth
• Active material isolation & cracking
• Electrolyte dry-out and pore clogging
• Li-plating

Reduce Testing Time and Cost: Replace lengthy and expensive physical aging tests with high-fidelity virtual simulations

Predict Real-World Aging Scenarios: Model battery aging under realistic load profiles, temperature conditions, and usage patterns

Understand the Impact of Battery Aging on System-Level Performance: Integrate aged-cell performance data into full vehicle or device simulations using GT-SUITE

Multiphysics Coupled Model: Integrated electrochemical, thermal, and mechanical modeling delivers high-fidelity predictions of battery behavior

Stress & Strain Tracking Across Lifecycle: Analyze how internal stress evolves with cycling, usage patterns, and environmental conditions—helping identify mechanical fatigue and potential failure points

3D Visualization of Mechanical Response: Gain a full-field view of stress and strain distribution across the cell with spatial outputs

Cooling Strategy Optimization: Evaluate cooling channel layouts, heat sink designs, and thermal interface materials in realistic system conditions to improve efficiency, and safety

Design for Safety & Regulatory Compliance: Support design decisions that minimize thermal propagation risks and meet safety standards

3D CAD Battery Pack Model Build: Semi-automated conversion method to create mechanical model from imported 3D geometry

Deep Behavioral Insight for Real-World Conditions: Access highly accurate electrochemical, thermal, and mechanical models that reveal complex battery behavior across usage scenarios

• Design detailed control strategies, within GT-SUITE in co-simulation with external tools, based on accurate physics-based simulation
• Produce best in class SOC, SOH, and battery pack cell balance algorithms
• Generate current surface map generation
• Validate multi-physics integrated systems thermal control strategies