Abstract: Hybrid energy storage systems (HESS) play an important role in electric vehicles. This paper mainly focuses on a hardware-in-the-loop (HIL) test bench for testing the performance of HESS. The scenario of an induction motor and a DC motor was proposed. The induction motor was used as a traction motor while the DC motor worked as the load and moment of inertia of the vehicle. Speed control was implemented on the induction motor while torque control was applied to the DC motor. The speed, torque and power of the traction motor were obtained from a simple drive cycle based on real parameters. The motor speed was given as a reference of the induction motor while the load torque was used as a reference of the DC motor. The speed control system of the induction motor and the torque control of the DC motor were analyzed and designed. Meanwhile, the speed control system of the induction motor was modeled. Adaptive fuzzy neural-network control was proposed to achieve high accuracy due to the low accuracy of PID control. Simulation and experimental results agreed with the proposal. The test bench follows the reference speed and reference torque well.