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2013 (Vol. 6, Issue: 13)
Article Information:

Logic Threshold Based Energy Control Strategy for Parallel Hydraulic Hybrid Vehicles

Liu-Tao, Zheng-Jincheng, Wang-Shuwen and Gu-Fangde
Corresponding Author:  Liu-Tao 

Key words:  Energy control strategy, genetic algorithm optimization, hydraulic hybrid vehicle, simulation, , ,
Vol. 6 , (13): 2339-2344
Submitted Accepted Published
November 29,2012 January 17, 2013 August 05, 2013

To improve the performance of a Parallel Hydraulic Hybrid Vehicle (PHHV), the operation of components in the hydraulic hybrid system of the vehicle should be well coordinated. This study introduces an energy control strategy based on the logic threshold methodology for PHHVs. The energy distribution of the PHHV can be controlled in real-time and the operation modes of the PHHV can be changed dynamically by means of this energy control strategy. A simulation model for the analysis of the whole vehicle dynamic performance is developed using the Simulink in MATLAB. The multi-objective Genetic Algorithm (GA) optimization method is employed to get the optimal working modes, the best energy distribution in different drive cycles and the optimal parameters of the control strategy. In this optimization, maximum fuel economy is the objective and the difference of engine optimal torque and active pressure torque and the pressure limit are the variables of the GA optimization. The simulation results show that the fuel economy of the PHHV can be improved and in addition, the dynamic performance of the vehicle can be enhanced with the proposed energy control strategy.
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  Cite this Reference:
Liu-Tao, Zheng-Jincheng, Wang-Shuwen and Gu-Fangde, 2013. Logic Threshold Based Energy Control Strategy for Parallel Hydraulic Hybrid Vehicles.  Research Journal of Applied Sciences, Engineering and Technology, 6(13): 2339-2344.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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