Feb 1, 2026 Product
B-Life-AI: Advanced Battery Prognostics for SOH Estimation and RUL Forecasting
An intelligent battery health system that predicts State of Health (SOH) and Remaining Useful Life (RUL) from real-time BMS data, enabling proactive maintenance, failure prevention, and warranty optimization.
Prompt Input: "Analyze the last 30 charge/discharge cycles for the LFP battery packs in Fleet A. Based on differential voltage peaks and the current thermal history, estimate the SOH for each module. Predict the number of cycles remaining before capacity hit the 80% EOL threshold, and recommend a specific fast-charging limit to maximize the RUL."
Note: The live demo regenerates dynamically. Prompts and interface elements may differ from the screenshots to showcase the system's full capabilities.
Result:
A production-ready analytical system featuring:
1. Hybrid PINN and Transformer-based regression models;
2. An automated data-preprocessing and feature-extraction pipeline;
3. Interactive real-time health dashboards and reporting;
4. A decision-support engine for battery second-life assessment and warranty planning.