Research on the Control Strategy for the Traction Motor on the Test Bench of Vehicular Energy Storage System
LI Yon
Abstract
LI Yon
Abstract
The test bench of energy storage system plays an important role in the comprehensive performance testing of electric vehicles. The hardware-in-the-loop(HIL) test bench composed by a DC motor and a flywheel was proposed to test the performance of vehicular energy storage system. The DC motor was used as a traction motor. The flywheel worked as the load and the moment of inertia of the whole vehicle. The speed control system of the DC motor on the test bench was analyzed. The speed control system of the traction motor was modeled and co-simulated in Simulink and Psim. This paper mainly focused on the control strategy of the speed control system. A simple drive cycle was used as the reference signals for the speed control system. A fuzzy-PID control strategy was proposed to replace the single PID control approach which exhibits low precision in tracking. The dSPACE-based HIL test bench was built in the lab. Simulation and experimental results show that fuzzy-PID control is superior to PID control. Fuzzy-PID control implemented for the speed control of the traction motor has better precision and dynamic performance than PID control.
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The test bench of energy storage system plays an important role in the comprehensive performance testing of electric vehicles. The hardware-in-the-loop(HIL) test bench composed by a DC motor and a flywheel was proposed to test the performance of vehicular energy storage system. The DC motor was used as a traction motor. The flywheel worked as the load and the moment of inertia of the whole vehicle. The speed control system of the DC motor on the test bench was analyzed. The speed control system of the traction motor was modeled and co-simulated in Simulink and Psim. This paper mainly focused on the control strategy of the speed control system. A simple drive cycle was used as the reference signals for the speed control system. A fuzzy-PID control strategy was proposed to replace the single PID control approach which exhibits low precision in tracking. The dSPACE-based HIL test bench was built in the lab. Simulation and experimental results show that fuzzy-PID control is superior to PID control. Fuzzy-PID control implemented for the speed control of the traction motor has better precision and dynamic performance than PID control.
Key concepts: Traction control system, PID controller, Test bench, DSPACE, Flywheel, Control system, Engineering, Traction motor