Development of high-precision control algorithms for autonomous electric vehicles

Abstract

Autonomous Electric Vehicles (AEVs) represent the future of transportation, combining the benefits of electric mobility with advanced automation. The development of high-precision control algorithms is critical for ensuring the safety, efficiency, and reliability of AEVs. This review paper explores the various control algorithms developed for AEVs, focusing on trajectory planning, path tracking, motion control, and adaptive control systems. It also examines the challenges in algorithm development, such as environmental uncertainty, sensor fusion, and real-time computational demands. The paper concludes with an outlook on future research directions and potential advancements in control algorithms for AEVs.