Power-cycle-library-based control strategy for plug-in hybrid electric vehicles
Shams-Zahraei, M. and Kouzani, A. Z. 2010, Power-cycle-library-based control strategy for plug-in hybrid electric vehicles, in IEEE VPPC 2010 : Proceedings of the 2010 IEEE Vehicle Power and Propulsion Conference : Clean Tech for Transportation, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/VPPC.2010.5729240.
It has been demonstrated that considering the knowledge of drive cycle as a priori in the PHEV control strategy can improve its performance. The concept of power cycle instead of drive cycle is introduced to consider the effect of noise factors in the prediction of future drivetrain power demand. To minimize the effect of noise factors, a practical solution for developing a power-cycle library is introduced. A control strategy is developed using the predicted power cycle which inherently improves the optimal operation of engine and consequently improves the vehicle performance. Since the control strategy is formed exclusively for each PHEV rather than a preset strategy which is designed by OEM, the effect of different environmental and geographic conditions, driver behavior, aging of battery and other components are considered for each PHEV. Simulation results show that the control strategy based on the driver library of power cycle would improve both vehicle performance and battery health.
Field of Research
090602 Control Systems, Robotics and Automation 090205 Hybrid Vehicles and Powertrains
Socio Economic Objective
850702 Energy Conservation and Efficiency in Transport
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