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Technical Paper

Development and Validation of Logic Threshold Control Algorithm for Parallel Hybrid Power Train

2003-06-23
2003-01-2312
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.
Technical Paper

Development and Validation of New Control Strategy of Hybrid Power Train with ISG for Family Sedan

2006-10-16
2006-01-3291
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.
Technical Paper

Development and Validation of New Control Algorithm for Parallel Hybrid Electric Transit Bus

2006-10-31
2006-01-3571
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.
Technical Paper

Study on the Control Algorithm of Series Power Train for Fuel Cell Transit Bus

2004-10-26
2004-01-2607
Developed control algorithm of series power train for fuel cell transit bus is presented systematically, which keeps fuel cell pack's operation points on the locus of highest efficiency. The off-line simulation model of series power train for fuel cell transit bus is developed which includes sub-models of control system and controlled objective (such as fuel cell pack, 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 fuel cell pack's 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.
Technical Paper

Development and Validation of Control Algorithm for Series Hybrid Power Train

2003-10-27
2003-01-3281
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.
Technical Paper

Study on the Parametric Optimization for a Parallel Hybrid Electric Vehicle Power Train

2000-08-21
2000-01-3109
A practical configuration of the power train for the parallel hybrid electric vehicle (HEV) is presented in this paper. The parameters of the power unit (included engine, motor, battery) that must be considered and determined during parallel HEV designing are calculated and discussed in details according to the vehicle requirements for maximum speed, acceleration time, maximum grade ability, emission, fuel efficiency. The parameters of the battery are determined by calculation and the measures that will be taken in design are also discussed in this paper. In cycles it must be insured that the consumed energy and absorbed energy through regenerative braking are balance. Thus the battery pack will never have to recharge from wall plug, the range is as long as conventional vehicle. The ratio of torque-combination device, transmission and the final drive gear is optimized and determined respectively based on the vehicle criteria of traction performance and the fuel economy.
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