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基于多智能体的混合动力汽车再生制动协同控制

Regenerative Braking Cooperative Control of Hybrid Electric Vehicle Based on Multi-agent

  • 摘要: 为提高混合动力汽车再生制动能量利用率与制动安全性,进一步提升续驶里程,提出一种基于多智能体的再生制动协同控制方法。构建交互式协同控制再生制动系统智能体及子智能体模型,系统智能体通过接受制动工况信息将蓄电池荷电状态(State of Charge,SOC)发送给蓄电池智能体,将再生制动分配系数与制动强度系数发送给车轮智能体和电机智能体;各子智能体以自身最高工作效率为目标,结合各自运行工况与其他智能体进行交互并将各自的任务实时反馈给系统智能体。最后在MATLAB/Simulink中建模,在CYC_UDDS工况下进行仿真验证。结果表明,电机制动力与机械制动力得到合理分配,充电电流控制在合理范围内,制动过程蓄电池SOC增加了近23%、制动能量利用率达17.43%,验证了所提方法的可行性和有效性。

     

    Abstract: In order to improve the regenerative braking energy utilization rate and braking safety of hybrid electric vehicle, and promote driving range, a regenerative braking cooperative control method based on multi-agent was proposed. Interactive cooperative control regenerative braking system agent and sub-agent model were constructed. By receiving the braking condition information, agent of system sends SOC (State of Charge, SOC) to battery agent, and then sends the braking force distribution coefficient and braking strength coefficient to the wheel agent and the motor agent. Taking the highest working efficiency as its goal, sub-agents interacted with other agents and fed back their tasks to the system agent in real time, based on its own operating conditions. The simulation model of the regenerative braking system was built with the MATLAB/Simulink platform. CYC_UDDS operating conditions were simulated and verified. The results show that motor regenerative braking force and mechanical braking force are apportioned appropriately, charging current is controlled within a normal range, battery SOC increases by 23% and utilization rate of braking energy reaches 17.43% during braking process, which indicates the feasibility and effectiveness of the proposed method.

     

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