Qnovo has partnered with Sonatus to drastically reduce the time needed to integrate advanced battery diagnostics into EVs, from months to just days.

The partnership combines Qnovo’s Health and Safety Diagnostics (HSD), which reports 98.7 percent battery fault prediction accuracy, with the Sonatus AI Director platform. Qnovo says this integration enables manufacturers to rapidly deploy battery monitoring and management systems anywhere within the vehicle architecture or in cloud environments, addressing the needs of modern software-defined EVs.

Qnovo’s HSD solution continuously monitors 12 battery health indicators—including detection of lithium plating, manufacturing defects and thermal risks—offering a predictive lead time weeks ahead of traditional diagnostic tools. In production with global OEMs and running across millions of kilometers and 200 million devices without reported safety incidents, the technology is designed to enhance operational safety in electric mobility applications.

By integrating with Sonatus AI Director, Qnovo says its diagnostics system can leverage contextual data—such as environmental and operational parameters—to further improve predictive accuracy, personalize battery management based on driver profiles, provide advanced maintenance alerts, reduce false positives, support targeted recall mitigation, and enable over-the-air software updates.

“Software-defined electric vehicles depend on intelligent management of their most critical component – the battery,” said Nadim Maluf, CEO of Qnovo. “Through our partnership with Sonatus, we’re removing the barriers that have prevented OEMs from rapidly deploying advanced battery intelligence directly in their vehicles. This collaboration enables the seamless integration that software-defined vehicles require, while delivering the predictive safety and performance capabilities that define the future of electric mobility.

Source: Qnovo