High-resolution EV energy validation relies on complex, costly instrumentation, limiting deep insights to a small number of test cases. This creates a gap between precise measurement and scalable understanding of energy behavior. This session introduces Energy Intelligence - a non-intrusive approach to capturing and analyzing vehicle energy behavior without physical integration. By leveraging EMF sensing and A.I., engineers can trace energy consumption, detect inefficiencies, and gain system-level visibility across vehicles and conditions. We will show how this approach extends validation beyond isolated measurements, enabling broader coverage, faster iteration, and new diagnostic applications.

• Where current EV energy validation breaks down in cost, complexity, and scalability
• How to capture high-resolution energy data without intrusive instrumentation
• Turning raw electromagnetic signals into actionable energy insights
• Scaling energy analysis across vehicles, programs, and lifecycle stages
• Applying continuous energy diagnostics to validation, testing, and field operations