SoH Validation Performance

Accurate battery State of Health (SoH) is essential for managing warranties, protecting residual value, and making informed decisions throughout the battery lifecycle.

In this case study, discover how ELECTRA AI’s EVE-Ai™ Battery Fleet Analytics used physics-informed AI to deliver laboratory-grade SoH accuracy using real-world battery data, without dedicated testing or downtime.

Learn how the platform achieved an average SoH estimation error of just 0.34%, with all four validated batteries below 1% error, demonstrating the potential for scalable, reliable battery health intelligence.

Explore how precise SoH estimation can support better warranty management, more accurate residual valuations, and greater confidence across the battery value chain.