As a key actuator of intelligent connected vehicles, the SBW(Steer-By-Wire) system directly affects vehicle safety and handling performance. To address the lack of experimental teaching platforms for human-machine collaborative SBW systems in universities, a multi-scenario simulation-based experimental teaching platform is developed. The platform adopts a dual-motor redundant architecture, integrates the original EPS (Electric Power Steering) system and active steering motor to achieve seamless switching between manual and automated driving modes. Rapid control prototype algorithms are constructed using Matlab / Simulink, while

CarSim and PreScan software are utilized to build multi-scenario simulation environments, including normal driving, emergency avoidance, and actuator failure conditions. Hierarchical experimental projects are developed,covering SBW actuator characteristic testing, human-machine collaborative control strategy design, and multi-scenario system integration. Application results demonstrate that the platform effectively enhances students’ understanding and practical capabilities regarding SBW systems, providing valuable support for cultivating interdisciplinary talents in vehicle intelligence.

steer-by-wire system ( SBW ), human-machine collaboration, multi-scenario simulation, experimental teaching platform