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Explore how tiny neural networks can revolutionize electric vehicle motor control in this 17-minute conference talk. Discover the critical challenges facing permanent magnet synchronous motor control systems in electric vehicles, where traditional PID controllers struggle with rapid transitions that waste precious battery energy through overshoots. Learn about groundbreaking research that implements neural network-based compensation to reduce maximum overshoots by up to 70% in challenging scenarios, using a remarkably compact model with just 1,700 parameters. Understand the technical implementation combining MatWorks development tools with ST microcontroller technology, and examine the current achievements of 70-microsecond inference times on automotive-grade hardware. Gain insights into the remaining challenges toward achieving the ultimate 10-microsecond control loop target, including hardware acceleration needs and advanced training methodologies. Delve into the intersection of artificial intelligence and motor control engineering, where control loops operate at extraordinary speeds of 20,000 times per second, and discover how this research opens new possibilities for maximizing electric vehicle efficiency and extending battery range through intelligent motor control systems.
