Qnovo’s AI-Enhanced Battery Safety on Sonatus AI Director

Traditionally, integrating advanced battery diagnostics is a slow, complex process requiring 6–12 months of custom development for every vehicle platform. The Qnovo and Sonatus solution dramatically shortens this timeline from months to days. It achieves this by providing:
- Standardized Interfaces: Eliminating the need for custom coding for each new vehicle model.
- Pre-Built APIs: Allowing immediate integration with vehicle signals without extensive proprietary interface development.
- Flexible Architecture: Enabling the software to run on any vehicle domain or in the cloud, rather than being constrained strictly to the Battery Management System (BMS).

Qnovo's HSD software goes beyond basic monitoring by using advanced electrochemical modeling and AI to predict faults with 98.7% accuracy, often weeks before a failure occurs. Unlike traditional systems, it:
- Monitors 12 Distinct Health Indicators: Detects specific issues like lithium plating, thermal risks, and manufacturing defects.
- Uses Contextual Intelligence: By integrating with Sonatus AI Director, it pulls rich data—such as navigation patterns, climate conditions, and driver behavior—to personalize battery management for each specific driver and environment.
- Reduces False Positives: Pinpoints exact vehicles with issues, reducing the need for sweeping, costly recalls.

Yes. The solution is designed to be hardware-agnostic and highly scalable.
- Battery Compatibility: It is compatible with batteries from all major manufacturers, including CATL, LG Energy Solutions, Samsung SDI, and SK On.
- Platform Flexibility: The software is field-tested across diverse vehicle architectures and is adaptable to future software-defined vehicle designs without requiring hardware redesigns.