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Q-learning based control for energy management of series-parallel hybrid vehicles with balanced fuel consumption and battery life

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Energy and AI 2023年第1期11卷 118-128页

作者： Saeid Ahmadian Mohammad Tahmasbi Reza Abedi Department of Mechanical Engineering Sharif University of TechnologyTehranIran Department of Electrical and Computer Engineering Concordia UniversityMontrealQCCanada Department of Mechanical Engineering K.N.Toosi University of TechnologyTehranIran

The present study investigates an energy management strategy based on reinforcement learning for seriesparallel hybrid vehicles. Hybrid electric vehicles allow using more advanced power management policies because of their complexity of power management. Towards this feature, a Q-Learning algorithm is proposed to design an energy management strategy. Compared to previous studies, an online reward function is defined to optimize fuel consumption and battery life cycle. Moreover, in the provided method, prior knowledge of the cycle and exact modeling of the vehicle are not required. The introduced strategy is simulated for four driving cycles in MATLAB software linked with ADVISOR. The simulation results show that in the HWFET cycle, the fuel consumption decreases by 1.25 %, and battery life increases by 65% compared to the rule-based method implemented in ADVISOR. Also, the results for the other driving cycles confirm the self-improvement property. In addition, it has been depicted that in the case of change in the driving cycle, the method performance has been maintained and gained better performance than the rule-based controller.

关键词： Hybrid electric vehicles series-parallel configuration Power management policy Reinforcement learning Q-Learning

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Operation control strategy of series-parallel hydraulic hybrid vehicle

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High Technology Letters 2014年第1期20卷 97-102页

作者：赵立军 Ge Zhuhong Luo Manning Liu Xinhui School of Automobile Engineering Harbin Institute of Technology College of Mechanical Science and Engineering Jilin University

A series-parallel hydraulic hybrid system applied to public buses is put torwaro, ano parameters of key components are analyzed and determined. Energy management strategy based on logic thresh- old is designed which is aimed at efficient operation of the overall system considering the operational characteristic of the components and taking the curves of engine, hydraulic pump/motor and hydrau- lic pump as the main design basis; regenerative control strategy which makes regenerative brake sys- tem and frictional brake system work harmoniously is designed to raise recovery rate of regenerative brake energy. System dynamic modeling and simulation results show that the energy control strategy designed here is able to adapt system to changes of working condition and switch the operating mode reasonably. The regenerative braking control strategy is effective in raising the utilization of energy and improving fuel economy.

关键词： series-parallel configuration hydraulic hybrid vehicles vehicles for public trans-port operation control strategy regenerative brake

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