机器人燃料电池混合动力系统优化控制  

Optimization of Robot Fuel Cell Hybrid Power System

作　　者：吕学勤[1] 马玉超[1] 刘文明[1] LU Xueqin MA Yuchao LIU Wenming(School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, Chin)

机构地区：[1]上海电力学院自动化工程学院,上海200090

出　　处：《上海交通大学学报》2016年第12期1936-1939,共4页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金项目(51405286);上海市电站自动化技术重点实验室开放基金项目(13DZ2273800)资助

摘　　要：建立了包括燃料电池、直流变换器、锂电池和负载等部件的燃料电池混合动力系统的数学模型.对燃料电池混合动力系统的能量管理策略进行设计与研究.对所提出的控制系统进行仿真后结果表明:燃料电池的优化控制策略可提高其耐久性,实现了系统功率的合理分配;蓄电池的荷电状态维持在预定区域;将可拓控制理论应用于变换器的控制中可以改善燃料电池混合驱动系统的动态响应特性,即改善直流电/直流电变换器对输出电流跟踪的鲁棒性及动态响应特性,使燃料电池混合能量系统更有效、安全地运行.The mathematical model for the fuel cell hybrid power system was established, including the fuel cells, the DC converter, the lithium battery, and the load. The hybrid fuel cell system and energy management strategy was designed and studied. The power demanded by the load was provided by the fuel cell and battery according to the energy management strategy, including the battery state of charge balanced strategy and a fuel cell adaptive power control algorithm. The converter was controlled by the current to achieve the overall control of the system. An extension control strategy was proposed in the converter output cur- rent tracking control. The simulation results show that the fuel cell control strategy can solve the problem of fuel saturation and realize the reasonable distribution of the power system. The battery SOC is kept in a presumed level. The extension control strategy is applied to improve the current tracking precision, robustness and reliability of the system, making the fuel cell hybrid power system run safely and efficiently.

关 键 词：燃料电池 能量管理 荷电状态 

分 类 号：U463.633[机械工程—车辆工程] TP242[交通运输工程—载运工具运用工程]