PV inverter OEMs face mounting pressure to ship reliable designs faster, with longer warranties and tighter margins
Field failures during 5–10 year warranty windows drain margins and trigger costly retrofit campaigns
New SiC and GaN topologies demand faster validation cycles than traditional HALT/HASS can deliver
Real-world thermal and electrical stress varies wildly across climates, complicating lifetime claims
IGBT, capacitor and fan trade-offs are hard to quantify before fleet data exists
Physics-informed inverter intelligence powered by digital twins and field-grade ML
Run thousands of synthetic mission profiles to expose failure modes before physical prototypes.
Quantify IGBT fatigue under realistic ΔTj cycling for any climate or duty profile.
Predict expected failure curves and reserve provisions per SKU and deployment region.
Rank capacitor, semiconductor and cooling choices by predicted MTBF and BOM cost.
Engineering and warranty metrics measured against OEM internal baselines
vs. physical HALT cycles
Through accurate field-failure forecasting
Matching PV module design life
Physics-grounded prediction vs. ML-only
From design floor to field warranty operations
Join inverter OEMs using InverterAI to validate designs and protect warranty margins