【作者】 孙震东； 杨朵； 汪玉洁； 陈宗海；

【Author】 Sun Zhendong;Yang Duo;Wang Yujie;Chen Zonghai;Department of automation,University of science and technology of China;

【机构】 中国科学技术大学信息学院；

【摘要】 全球性的能源短缺和环境恶化已经成为了制约社会可持续发展的重要因素。绿色低碳成为了当前的热点话题,预计也将在未来很长一段时间里成为影响我国经济、工业、生活发展的重要因素。燃料电池汽车越来越受到研究人员的重视。本研究提出了一种基于预测控制的分层燃料电池控制策略,包括上层管理策略和下层子系统的模型预测控制。上层管理策略负责系统的最优决策、状态切换和故障诊断。下层控制策略则负责将各个子系统的状态控制在上层管理层设定的目标值附近。案例分析中使用燃料电池管理系统硬件平台进行仿真分析,结果表明提出的燃料电池控制策略可以将燃料电池子系统状态稳定控制在最优点。更多还原

【Abstract】 Global energy shortage and environmental deterioration have become an important factor restricting the sustainable development of society.Green low carbon has become a hot topic at present and is expected to become an important factor affecting the development of China’s economy,industry,and life for a long time in the future.More and more researchers pay attention to fuel cell vehicles.In this paper,a hierarchical structure fuel cell control strategy based on predictive control is proposed,which includes upper management strategy and model predictive control of lower subsystems.The upper management strategy is responsible for the optimal decision,state switching,and fault diagnosis of the system.The lower-level control strategy is responsible for controlling the state of each subsystem near the target value set by the upper management strategy.In the case study,the hardware platform of the fuel cell management system is used for simulation analysis,and the results show that the proposed fuel cell control strategy can control the state of the fuel cell subsystem stably at the optimal point.更多还原