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The new control algorithm for parallel hybrid electric vehicle is presented systematically, in which engine operation points are limited within higher efficient area by the control algorithm and the state of charge (SOC) is limited in a range in order to enhance the batteries' charging and discharging efficiency. In order to determine the ideal operating point of the vehicle's engine, the control strategy uses a lookup table to determine the torque output of the engine. The off-line simulation model of parallel HEV power train is developed which includes the control system and controlled objective (such as engine, electric motor, battery pack and so on). The results show that the control algorithm can effectively limite engine and battery operation points and much more fuel economy can be achieved than that of conventional one.

Logic threshold control algorithm for parallel hybrid electric power train is presented systematically, in which engine operation points are limited within higher efficient area by logic threshold control algorithm targeting fuel economy. The off-line simulation model of parallel HEV power train is developed which includes sub-models of logic threshold control system and controlled objective (such as engine, electric motor, battery pack and so on). The debug and validation of logic threshold control algorithm is completed on developed modular test facility. The results show that the simple and practical logic threshold control algorithm can effectively limited engine operation points and much more fuel economy can be achieved than that of conventional ICE power train.

A new control strategy for parallel hybrid electric vehicle with ISG is presented in this paper, in which engine operation points are limited within higher efficiency area by the control strategy and the state of charge (SOC) is limited in a range in order to enhance the batteries' charging and discharging efficiency. The control strategy aims to reduce total energy consumption at each instantaneous time interval by dynamically adjusting the amount of power supplied by the engine and the pack of the batteries. The off-line simulation model of the parallel HEV power train is developed which includes the control system and controlled objective (such as engine, electric motor, battery pack and so on). The results show that the control stragegy can effectively limit engine and battery operation points and much more fuel economy can be achieved than that of conventional one.

In this paper, in order to avoid the frequent switching of engine operating points and improve the fuel economy during driving, this paper proposes a control strategy for the 4-wheel drive (4WD) hybrid vehicle based on wavelet transform. First of all, the system configuration and the original control strategy of the 4WD hybrid vehicle were introduced and analyzed, which summarized the shortcomings of this control strategy. Then, based on the analyze of the original control strategy, the wavelet transform was used to overcome its weaknesses. By taking advantage over the superiority of the wavelet transform method in multi signal disposition, the demand power of vehicle was decomposed into the stable drive power and the instantaneous response power, which were distributed to engine and electric motor respectively. This process was carried out under different driving modes.