Battery Lifetime & Performance Simulation
Powered by APEX AI OS — Battery Intelligence
Development of battery powered products demands extensive physical testing across temperatures, C-rates, SOC windows andusage profiles — taking 12–18 months and costing hundreds of thousands to millions annually. APEX AI OS — BatteryIntelligence consolidates all available test data — even from legacy systems — into one unified battery intelligence. It learns fromevery test ever run to simulate cell aging and performance under any conditions. One model that captures your entireorganization's battery knowledge and grows smarter with every new test. Using only the first 50-100 cycles of a new cell test as“prompts”, the model can then simulate performance until end of life under various conditions, already early in the developmentphase, saving cost and time.
1. Pre-Training
Trained on 4,000+ real-life cycling tests and>100M material configurations, combined withphysics-based P2D frameworks, the modellearns the correlation between cell physics andaging.
2. Fine-Tuning
Model adapted to your specific cell chemistriesand test protocols. Develop a customer specifichigh-accuracy model to build IP and your batteryintelligence.
3. Inference
Feed beginning-of-life data (50-100 cycles) toget instant SOH predictions, aging curves, andperformance simulations for any operatingconditions, e.g.: temperature, C-rate, SOC, usageprofile, etc.
USE CASES & BENEFITS
Faster Engineering Decisions
Reliable lifetime predictions after just weeks of cycling data. No more waiting12+ months for full test results before making design, sourcing, or certificationdecisions.
Reduced Test Matrix (DOE)
Simulate untested combinations of temperature, C-rate, SOC window and usageprofiles. AI identifies which experiments can be replaced — typically 30% fewerphysical tests.
Automated P2D & ECM Parametrization
Automatically parametrize Pseudo-2D and Equivalent Circuit Models from initialtest data. Eliminates weeks of manual fitting — production-ready physicalmodels in a fraction of the time.
Virtual Cell Qualification
Simulate end-of-life behavior for new cell candidates before committing to fulltesting. Pre-screen suppliers and chemistries with AI-powered predictions fromminimal data.
ENGAGEMENT & PRICING
1. Proof of Concept (POC)
Base model fine-tuned with a sample of your data. EoLprediction within weeks with full model insights andexplainability metrics.
2. Fine-Tuning
Customer-specific model on your proprietary data. All IPremains with you, run on your premises.
3. Deployment & License
Private cloud or on-premises within your infrastructure.Ongoing updates, new cell onboarding, continuousimprovement and quarterly fine tunings.
.png)
