文献类型：期刊文献

英文题名：Optimal size selection for fuel cell and battery in a hybrid power system of the intercity locomotives

作者：Zhang, Guiju[1,2];Li, Hao[3];Xiao, Caiyuan[1,2];Jermsittiparsert, Kittisak[4,5,6]

第一作者：Zhang, Guiju

通讯作者：Xiao, CY[1];Jermsittiparsert, K[2]

机构：[1]Key Lab Hunan Prov Efficient Power Syst & Intelli, Shaoyang 422000, Hunan, Peoples R China;[2]Shaoyang Univ, Coll Mech & Energy Engn, Shaoyang 422000, Hunan, Peoples R China;[3]Agr Univ Hebei, Coll Mech & Elect Engn, Baoding 071001, Hebei, Peoples R China;[4]Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam;[5]Duy Tan Univ, Fac Humanities & Social Sci, Da Nang 550000, Vietnam;[6]Henan Univ Econ & Law, MBA Sch, Zhengzhou 450046, Henan, Peoples R China

第一机构：Key Lab Hunan Prov Efficient Power Syst & Intelli, Shaoyang 422000, Hunan, Peoples R China

通讯机构：[1]corresponding author), Key Lab Hunan Prov Efficient Power Syst & Intelli, Shaoyang 422000, Hunan, Peoples R China;[2]corresponding author), Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam.

年份：2021

卷号：317

外文期刊名：JOURNAL OF CLEANER PRODUCTION

收录：;EI(收录号：20213110717099);Scopus(收录号：2-s2.0-85111554560);WOS:【SCI-EXPANDED(收录号:WOS:000696180600005)】；

基金：Scientific Research Fund of Hunan Provincial Education Department (No.15C1240) and Innovation platform open fund Project (No.16K080) and Scientific Research Fund of Hunan Provincial Education Department (NO.20C1651).

语种：英文

外文关键词：Electric locomotive; Hybrid energy system; Li-ion battery; Modified student psychology optimization; Urban train; PEMFC

摘要：An urban train powered by a hybrid power system is studied in this paper in terms of optimization of component size to minimize the overall cost. The hybrid power system consists of a proton exchange membrane fuel cell, a Li-ion battery, and an electric motor. Because of decreasing cost of power generation and urge to use renewable energy sources, utilization of fuel cell in urban train has attracted lots of attention. Using a battery in addition to the fuel cell can mitigate the slow response of the fuel cell when fast increase in power generation is required. The optimum sizes of the battery and fuel cell are determined considering numerous system limits and lifespan of the components. In addition, different track slopes are taken into account when calculating the optimum sizes. To solve the optimization problem, a novel technique named modified student psychology optimization is introduced and utilized. The train movement is studied in slope of 0%, 1%, and 2% to include the possible scenarios of train movement. To compare the performance of the proposed method, the system is optimized by three other optimization methods as well. Comparing the simulations' results show that the proposed optimization method can decrease the costs by 6.61% on average for the slopes compared to the best comparison method.