Fault Detection of Actuator Faults for Electric Vehicle

The main purposes of this paper concern: fault generation of nonlinear analytical redundancy for actuator faults of electric vehicle. These relations are used to detect and isolate actuator fault based on the elimination of the unknown variables of the system. Each residual, obtained by elimination theory, is sensitive to only one actuator fault thanks decentralization of the electric vehicle known as RobuCar. Structural analysis is used before to give the information of detectability and isolability of faulty components. Simulations of steering and traction engine faults in driving situation are showed.