Hierarchical Model Predictive Control for the Fuel Cell Hybrid Electric Vehicles - 文章详情页

作者：

Liu, Shiqi (Liu, Shiqi.) | Bin, Yang (Bin, Yang.) | Li, Yaoyu (Li, Yaoyu.) | Scheppat, Birgit (Scheppat, Birgit.)

收录：

EI Scopus

摘要：

F0636.　In　the　proposed　strategy,　an　upper-level　MPC　controller　is　designed　to　optimize　the　power　splitting　ratio　(PSR)　between　the　PEMFC　and　battery　pack,　and　a　predictable　power　profile　is　considered　further　to　smooth　the　power　requirement　from　the　PEMFC.　For　the　lower-level　MPC　controller,　it　is　used　to　realize　the　tracking　of　maximum　PEMFC　net　output　power,　by　optimizing　oxygen　excessive　ratio　(OER).　A　portion　of　the　US06　driving　cycle　is　adopted　to　evaluate　the　performance　of　the　proposed　method,　four　combinations　of　H-MPC　controller　are　compared　in　view　of　with/without　the　terminal　weight　and　predictable　power　profile.　Simulation　results　demonstrate　that　up　to　9.57%　equivalent　fuel　consumption　is　expected.　©　2018　Technical　Committee　on　Control　Theory,　Chinese　Association　of　Automation.

关键词：

Battery Pack Controllers Fuel cells Hierarchical systems Hybrid vehicles Model predictive control Predictive control systems Proton exchange membrane fuel cells (PEMFC)

作者机构：

[ 1 ] [Liu, Shiqi]Beijing University of Technology, College of Environmental and Energy Engineering, Beijing; 100124, China
[ 2 ] [Bin, Yang]Chongqing University of Technology, College of Mechanical Engineering, Chongqing; 400054, China
[ 3 ] [Li, Yaoyu]Department of Mechanical Engineering, University of Texas at Dallas, Dallas; 75080, United States
[ 4 ] [Scheppat, Birgit]Department of Engineering, RheinMain University of Applied Sciences, Am Brueckweg 26, Ruesselsheim; D-65428, Germany

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