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  • 标题:Predictive Energy Management for Electric Variable Transmission HEV
  • 本地全文:下载
  • 作者:Zetao Ma ; Nikolce Murgovski ; Shumei Cui
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:5
  • 页码:417-422
  • DOI:10.1016/j.ifacol.2019.09.067
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper introduces predictive energy management for a hybrid electric powertrain with an electric variable transmission. The optimization of the energy management in hybrid mode is formulated as a bi-level program, in which one static level optimizes the engine speed of a compound unit consists of the engine and electric variable transmission (EVT). The other layer optimizes a dynamic program by splitting power between the compound unit and the battery using equivalent consumption minimization strategy (ECMS). By combining ECMS with dynamic programming (ECMS-DP), the proposed strategy allows the engine on/off control to be also taken into account by iteratively updating the costate. Finally, the efficient ECMS-DP optimization is incorporated into the framework of model predictive control (MPC) and solved in a moving horizon fashion. Computation efficiency and optimization results are presented by simulation.
  • 关键词:KeywordsHybrid electric vehicleelectric variable transmissionpredictive controlECMS-DP
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