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并联混合动力城市客车控制策略研究 被引量:5

Research on control strategies of a parallel hybrid city bus
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摘要 针对以解放牌城市客车为原型车的并联混合动力系统的能量管理和动力控制建立了动态仿真模型,仿真分析了并联电力助动控制策略、自适应控制策略和模糊逻辑控制策略各自的特点.结果表明,不同控制策略的决策方式和优化目标不同,从而导致车辆的动力性、燃料经济性和排放性有较大的差别.由于车辆的动力性、燃料经济性和排放性是相互制约的指标,控制策略要综合考虑对这三者的要求,选择合适的折中方案.另外,控制策略的性能还与车辆工况有关,好的控制策略应该能根据车辆行驶条件的变化调整其决策方式,使其具有路线适应能力. The dynamic simulation models are created for the energy management and power control of a prototype of a Jiefang parallel hybrid city bus. The characteristics of parallel electric-assist control strategy, adaptive control strategy and fuzzy logic control strategy are analyzed using simulation. Simulation results show that the control strategies result in the high differences of the drivability, fuel economy and emissions of the vehicle due to their different decision-making and different optimization objectives. The control strategy should synthetically take into consideration the drivability, fuel economy and emission standard for the vehicle to choose an appropriate trade-off solution, since they are mutually restrictive metrics. The performance of a control strategy is also associated with the operational condition of vehicle, so a good control strategy should adjust its decision-making method according to the driving condition of vehicle to be capable of route adaptation.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2007年第4期515-520,共6页 Journal of Dalian University of Technology
基金 国家"八六三"高科技计划资助项目(2001AA501513)
关键词 混合动力城市客车 混合电动车 控制策略 能量管理 仿真 hybrid city bus hybrid electric vehicle control strategy energy management simulation
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参考文献6

  • 1SCHOUTENA N J,SALMANB M A,KHEIRA N A.Energy management strategies for parallel hybrid vehicles using fuzzy logic[J].Control Eng Pract,2003,11(2):171-177
  • 2LONG W Q,MORITA K,IWAI N.Analysis of HEV components efficiency on fuel economy[C] //Society of Automotive Engineers SAE 2000 Transactions.Pennsylvania:Society of Automotive Engineers,INC,2000:1668-1676
  • 3CHAU K T,WONG Y S.Overview of power management in hybrid electric vehicles[J].Energy Conversion and Manage,2002,43(15):1953-1968
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