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On the basis of the MRD 1/4 vehicle model, and combined with the thought of mixed control of skyhook damper and ground-hook damper, a hybrid semi-active control strategy that the coordinated parameters are adjusted automatically according to the vehicle speed is put forward in order to meet the requirements of the riding comfort and the adhesive performance under different working conditions. Based on the reconfigured standard Grade B and C road excitation signals, simulation researches on vertical vibration of vehicle body, dynamic deflection of vehicle suspension and dynamic loads of tires are carried on respectively at the speed of 10m/s, 20m/s and 30m/s. As shown in the results of the simulations, compared with passive suspension the vibration is decreased about 10 percent, the dynamic loads of tires maintain the same level on the whole, and the suspension deflection had increased in certain degree. This demonstrates that the devised control strategy of semi-active suspension can effectively improve the riding comfort and the adhesive performance of vehicles at various speeds.

The paper presents an investigation of the distributed energy problem in the CFA6470 hybrid electric vehicle (CFA6470HEV). The parallel hybrid drivelines are introduced in the CFA6470HEV. The universal characteristics of the engine are achieved with the neural network model, based on the engine experiment. The optimal operating state of the engine is obtained by assuming one value of the specific fuel consumption. The power and torque of the vehicle is also calculated using four continuous ECE-15 cycles and one EUDC cycle. Thus the operation rule of the electric motor can be achieved. The state of charge of the battery pack has been evaluated by using the energy conservation between the electric motor and battery pack. The result shows that the method is feasible. Both of the operating state of the vehicle and the state of charge of the battery pack can be controlled correctly.