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  • 标题:A Power Distribution Strategy for Heavy Duty HEV with Series Hybrid Powertrain based on Model Predictive Control Method
  • 本地全文:下载
  • 作者:Muyao Wang ; Chao Yang ; Weida Wang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:10
  • 页码:72-77
  • DOI:10.1016/j.ifacol.2021.10.143
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAiming at the problem of power distribution strategy of heavy-duty HEV with series hybrid powertrain, this paper proposed a power distribution strategy based on model predictive control (MPC). The strategy establishes the related energy consumption index and the physical constraints of the whole vehicle. It predicts the power and speed of vehicle powertrain in a given prediction time domain and distributes generator power and motor power reasonably according to the demand power. In order to reduce the computation of solving quadratic programming subproblems, the improved sequential quadratic programming (ISQP) algorithm is involved to solve the rolling horizon optimization problem. To prove the effectiveness of the strategy, the simulation is carried out under a given condition. The simulation results show that the strategy has better fuel economy than the rule-based strategy under the given condition.
  • 关键词:KeywordsHeavy duty HEVseries hybrid powertrainMPCSQProlling horizon optimization
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