E-REV多模式切换控制策略与性能仿真
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东北大学机械工程与自动化学院,东北大学 机械工程与自动化学院,东北大学 机械工程与自动化学院

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U460.7

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辽宁省科技创新重大项目(2015106003);辽宁重大装备制造协同创新中心


Multi-mode Switching Control Strategy and Performance Simulation Study of Extended-Range Electric Vehicle
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School of mechanical engineering and automation,Northeastern University,School of mechanical engineering and automation,Northeastern University

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    摘要:

    为了改善增程式电动汽车各项性能。依据某款电动汽车性能要求,对整车动力系统进行了动力系统参数匹配。在串联式混合动力电动汽车模型的基础上,运用Advisor对蓄电池、发电机等模型进行了优化与改进,对控制策略进行了仿真建模,分别计算出了发动机的高效与最优工作区域,建立了动力切换控制逻辑关系。在CYC_1015循环工况下对整车性能进行了研究。仿真结果表明:整车动力性、经济性和排放性均得到显著改善,最高车速大于140km/h,燃油机节油率达到37%,电动机峰值扭矩170Nm,工作效率为82.8%,比优化前提高3%。发动机峰值扭矩80Nm,工作效率为19.4%,比优化前提高29%。HC、CO与NOx排放量与优化前相比分别减少了75%、69.3%、100%。

    Abstract:

    In order to improve and precisely evaluate the performance of extended-range electric vehicle (E-REV), the parameter of transmission was designed and matched, according to the performance demands of an E-REV. By means of Advisor, the models of battery and motor were modified and optimized, the control strategy was modeled and simulated, the efficient working area and the optimal working area of engine were also solved, switching control logic relation was built in the paper. The performance of the E-REV was researched under CYC_1015 condition. The results show the dynamic and economic performance is improved. Maximum speed is over 140 km/h, fuel-saving rate reaches 37%. The peak torque of motor reaches 170Nm, working efficiency remains around 82.8%, increased by 3%. The working efficiency of engine remains around 19.4%, increased by 29%, the amount of HC, CO and NOx emissions are decreased by 75%, 69.3% and 100% respectively.

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宋桂秋,王凯,李一鸣. E-REV多模式切换控制策略与性能仿真[J]. 科学技术与工程, 2016, 16(31): .
Song Gui-qiu, Wang Kai, Li Yi-ming. Multi-mode Switching Control Strategy and Performance Simulation Study of Extended-Range Electric Vehicle[J]. Science Technology and Engineering,2016,16(31).

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  • 收稿日期:2016-06-17
  • 最后修改日期:2016-10-31
  • 录用日期:2016-08-17
  • 在线发布日期: 2016-11-09
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