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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.

Developed control algorithm for series hybrid electric power train is presented systematically, which keeps engine operation points on the locus of highest efficiency torque/speed points using a lookup table defined by engine power and speed. The off-line simulation model of series hybrid power train is developed which includes sub-models of control system and controlled objective (such as engine, motor, battery pack and so on). The debug and validation of control algorithm is performed on developed modular test facility. The results show that developed control algorithm can effectively keep engine operating on the locus of high efficiency points and much more fuel economy can be achieved than that of conventional ICE power train, meanwhile battery SOC can be maintained within reasonable level without charging outside during cycles.

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.

The goal of Military HEV Program organized by military industry is to develop a hybrid electric military bus prototype, which achieves higher fuel economy than that of conventional bus running in city. Moreover, it can be used as civil public transit bus. The series configuration of power train is employed for hybrid electric military vehicle. The energy management strategy and control algorithm is presented, which can control the output of engine and motor to satisfy the requirement of propelling power, regulate engine operation points within high efficient area, and maintain SOC at reasonable level without charging outside. Method and assessment criteria of parametric design for series HEV power train is presented to determine specification of power train targeting higher fuel economy. Based on the energy management strategy and parametric design the development of control system and integration of HEV power train.