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7篇 您的检索式:作者名="Dahlquist Erik"
    题名 作者 年代 出处 被引量
1Wetting of polypropylene hollow fiber membrane contactors显示文摘Yuexia Lv Xinhai Yu Shan-Tung Tu Jinyue Yan Erik Dahlquist 2010Journal of Membrane Science2010,,1:2
2Fabrication and characterization of superhydrophobic polypropylene hollow fiber membranes for carbon dioxide absorption显示文摘Yuexia Lv Xinhai Yu Jingjing Jia Shan-Tung Tu Jinyue Yan Erik Dahlquist 2010Applied Energy2010,,1:1
3Presentation of a dry black liquor gasification process with direct causticization显示文摘Dahlquist Erik Jones Andrew 2006Tappi Journal2006,5,3:1
4Biodieselproduction from waste cooking oilcatalyzed by TiO2–MgO mixed oxides显示文摘Zhenzhong Wen Xinhai Yu Shan-TungTu Jinyue Yan Erik Dahlquist 2010Bioresource Technology2010,101,2010:1
5Bio-refinery system in a pulp mill for methanol production with comparison of pressurized black liquor gasification and dry gasification using direct causticiza- tion显示文摘Naqvi Muhammad Yan Jinyue Dahlquist Erik 2012Applied Energy2012,90,1:1
6在电厂和加工领域使用在线仿真模型提高过程处理效率Erik Dahlquist 2012宁波节能2012,0,4:1
7Speed profile optimization of catenary-free electric trains with lithium-ion batteries显示文摘Catenary-free operated electric trains, as one of the recent technologies in railway transportation, has opened a new field of research: speed profile optimization and energy optimal operation of catenary-free operated electric trains. A well-formulated solution for this problem should consider the characteristics of the energy storage device using validated models and methods. This paper discusses the consideration of the lithium-ion battery behavior in the problem of speed profile optimization of catenary-free operated electric trains. We combine the single mass point train model with an electrical battery model and apply a dynamic programming approach to minimize the charge taken from the battery during the catenary-free operation. The models and the method are validated and evaluated against experimental data gathered from the test runs of an actual battery-driven train tested in Essex, UK. The results show a significant potential in energy saving. Moreover, we show that the optimum speed profiles generated using our approach consume less charge from the battery compared to the previous approaches.Nima Ghaviha Markus Bohlin Christer Holmberg Erik Dahlquist 2019Journal of Modern Transportation2019,27,3:0
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