In this paper, an active fault-tolerant control method based on interval adaptive threshold and control law reconstruction strategy is developed for electric scooter system with uncertain parameters. Firstly, the uncertain diagnostic bond graph model of the electric scooter system is established, and the interval adaptive threshold based on interval valued analytical redundancy relations is developed to improve the fault detection performance in the presence of parameter uncertainties. Secondly, the sliding mode control law is designed under normal conditions to realize the speed tracking of electric scooter. After that, the sliding mode control law under faulty condition is established where the extreme learning machine is adopted to estimate the term compensating the unknown parameter fault in the control law in a real time manner. The switching of control law can be implemented online using the fault detection result. Finally, through the analysis of experimental results, the effectiveness of the robust fault detection method based on the interval adaptive threshold is proved, and the feasibility of the active fault-tolerant control method in the presence of parameter fault is verified.