文献类型：期刊文献

英文题名：Energy management of a battery/ultracapacitor hybrid power system using an adaptive optimal-control method

作者：Gao, Zongyu[1,3]; Fang, Jianjun[1]; Zhang, Yinong[1]; Gao, Zonghua[2]; Sun, Di[1]

第一作者：Gao, Zongyu;高宗余

通讯作者：Gao, Zongyu

机构：[1] College of Automation, Beijing Union University, No. 97, Beisihuan East Road, Chaoyang District, Beijing, China; [2] Department of Mechanical Engineering, Lanzhou Petrochemical College of Vocational Technology, No. 1, Shandan Street, Xigu District, Lanzhou, China; [3] School of Electrical Engineering, Beijing Jiaotong University, No. 3, Shang Yuan Cun, Haidian District, Beijing, China

第一机构：北京联合大学城市轨道交通与物流学院

年份：2015

卷号：9

期号：2

起止页码：385-392

外文期刊名：ICIC Express Letters

收录：EI(收录号：20150600494637);Scopus(收录号：2-s2.0-84922127246)

语种：英文

外文关键词：Adaptive systems - Electric batteries - Energy storage - Energy utilization - Multiobjective optimization - Optimization - Quadratic programming - Rail motor cars - Secondary batteries

摘要：The optimal operation of rail vehicle minimizing total energy consumption is discussed in this paper. Many rail vehicles require an onboard energy storage for operation. A suitable approach is to combine storage technologies with complementary characteristics as a hybrid energy storage system. Thus, long term storage like batteries featuring high energy density can be combined with short term storage like double layer capacitors offering high power density and high cyclability. To control the power flows of the system, we propose the use of Sequential Quadratic Programming methods involving multi-objective and discrete optimization to design an operating strategy which is able to adapt the system behavior to different conditions, offering an optimal operation in different situations. ? 2015, ICIC International.