Author

Michelle Froese

4 articles

Sonatus joins SDVerse to expand access to vehicle data and AI platforms

Michelle Froese August 5, 2026

Sonatus has joined SDVerse, a B2B marketplace for automotive software founded by General Motors, Magna, and Wipro. The platform enables OEMs and Tier-1 suppliers to discover and evaluate software for vehicle development. Through this ecosystem, Sonatus is making its vehicle data and AI-based software tools available to support software-defined vehicle (SDV) architectures, where functionality is…

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Researchers use AI to study magnetic loss in electric motor materials

Michelle Froese June 29, 2026

Researchers at Tokyo University of Science have developed an AI-powered physics model that could help improve understanding of magnetic energy loss in electric motor materials, a factor that affects motor efficiency in electric vehicles (EVs) and other electrified systems. Electric motors experience iron loss, also known as magnetic hysteresis loss, when magnetic fields inside the…

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Q&A: How AI-driven modeling is accelerating EV battery materials development

Michelle Froese August 5, 2026

Battery materials innovation is becoming a defining factor in the performance, durability, and manufacturability of advanced electric vehicles (EVs). Meeting increasingly demanding energy density, reliability, and cost targets requires moving beyond conventional trial-and-error development toward more predictive, computation-driven approaches. Advances in artificial intelligence (AI), computational screening, and crystal structure prediction are reshaping how candidate materials…

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Q&A: The role of AI in EV development and testing

Michelle Froese July 31, 2026

Electric vehicle (EV) development is increasingly defined by software complexity, data volume, and shorter validation timelines. As a result, artificial intelligence (AI) is being introduced across development and testing workflows to accelerate engineering cycles, improve diagnostic depth, and reduce reliance on late-stage physical validation. For EV engineers, the challenge is not simply adopting AI, but…

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