The integration of ground-breaking technologies, such as next-generation batteries and AI-powered systems, promises to reshape the way we commute, transport goods, and navigate our cities. Autonomous Electric Vehicles: Nonlinear Control, Traction, and Propulsion offers sought-after, specialized know-how on robotized electric vehicles (ground, surface, underwater, aerial). The book builds on theoretical fundamentals to then comprehensively cover the very latest research advances in nonlinear control, estimation, and fault diagnosis for autonomous navigation and electric traction systems. Part I investigates nonlinear optimal control and estimation of a specific class of vehicle per chapter, while part II control and dynamic modeling of a specific type of electric motor per chapter. Furthermore, the methodological analysis conducted is not constrained by the shortcomings of global linearization-based control algorithms, is computationally easy to implement, and is also corroborated by global robustness and stability proofs. Case studies and other practical application discussions exemplify these methods' potential prospects if adopted at commercial scale. Readers from a wide range of related disciplines will benefit from the structured, modular approach of the volume, which was written by a group of experts with backgrounds both in academia and industry, whose aim is also to contribute transformative solutions to accelerate the global low-carbon power transition as well as smart energy management systems for the continuing shift to renewables.