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For verify control strategies in the course of developing hybrid electric vehicle, a kind of test bed was developed. Four removable wheels was used as test best's supporting, all powertrain and control units of true vehicle were contained in the test bed. At the same time, the test bed was connected with two driving wheels. Chassis dynamometer was used to simulate road surface, was connected and fixed with the test bed. For applying different control strategies, dSPACE system was used as real-time control component. Some characteristics tests can be done using the test bed, such as dynamic, economic, discharge and regenerative braking. Test of regenerative braking was done, the test results showed that the test bed can satisfy requirements.

In this paper, a parallel regenerative braking control strategy and fuzzy PID control algorithm for series-parallel hybrid electric vehicles are developed based on the analysis of the existing regenerative braking control strategy and control algorithm, indicating a reasonable and effective regenerative braking control strategy for series-parallel hybrid vehicles. The simulation model of regenerative braking control system is established by MATLAB/Simulink software, and the parametric model of each component of regenerative braking system is established by AVL CRUISE software. The joint simulation under the typical braking condition of 30, 60 and 90km/h under the moderate braking intensity (z = 0.3) is conducted. The results show that the braking energy recovery rate is the largest (reaching 24%) and the energy recovery effect is obvious in the initial speed of braking of 60km/h.