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机构地区:[1]山东大学控制科学与工程学院,济南250061
出 处:《电工技术学报》2008年第8期137-142,共6页Transactions of China Electrotechnical Society
基 金:国家自然科学基金(50477042);高等学校博士点基金(20040422052);山东省自然科学基金(Z2004G04)资助项目
摘 要:新型蓄电池-超级电容双能量源存储系统是目前纯电动汽车中的研究热点。如何合理分配双能量源存储系统中蓄电池和超级电容两者的功率,使车辆获得好的动力性能和经济性能是其中最为关键的问题。在分析能量存储系统的功率、车辆行驶中的阻力功率及约束条件基础上,建立了以车辆能量消耗率和加速时间为目标函数的能量管理问题数学模型。然后,对双能量源存储系统的主要工作模式进行了分析,在此基础上设计了基于模糊逻辑的能量管理优化控制器,并在ADVISOR软件平台上实现了该控制器。模糊控制器采用了三输入、单输出的mamdani结构。最后,对比简单查表策略进行了仿真研究。结果表明,文中提出的基于模糊逻辑的优化控制器通过有效地分配双能量源之间的功率,使车辆具有更好的动力性能和经济性能。The novel battery-ultracapacitor dual energy storage system is the hotspot of the pure electric vehicles (PEV) research. And how to effectively split the power between the batteries and the ultra-capacitors to obtain good economy and acceleration performance is the most crucial problem. Based on the analysis of powers in energy storage system, the resistance powers during the vehicle's running and the constraints the energy storage system should obey, the mathematical model of energy management system is firstly established, whose objective functions are energy consumption ratio and acceleration times. Then, four main operation modes of the dual-source energy storage system are presented. In the following, energy management controller based fuzzy logic is designed and implemented in ADVISOR software. The fuzzy controller takes the mamdani structure and consists of three inputs and single output. Finally, compared to the look-up strategy, lots of simulations are carried on. The results show that, the proposed fuzzy energy management controller can more effectively split the powers in dual-sources energy storage system, and attain a better acceleration performance and economic performance.
关 键 词:双能量源存储系统 能量管理 优化控制 模糊控制器
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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