期刊文献+

插电式混合动力汽车动力系统的研究与仿真 被引量:4

Plug-in Hybrid Electric Vehicle Power System Research and Simulation
下载PDF
导出
摘要 随着汽车工业的飞速发展,节能与环保成为汽车工业发展的重要方向。提出新型插电式气电混合动力轿车综合了天然气汽车和PHEV的优势,通过对城市道路循环和高速道路循环两种工况的分析,搭建了合适的动力系统结构,并选定了基于逻辑门限的电力辅助和基于神经网络的多目标实施的两种控制控制策略。利用ADVISOR软件对两种控制策略进行仿真,得到后一种控制策略明显优于前者的结果;并且排放标准完全达到了国IV标准,其工作效率也大大提高了,完全达到了节能减排的目的。 With the rapid development of automobile industry,energy saving and environmental protection have became an important direction of the development of the automotive industry.A new type of plug-in gas-electric hybrid sedan combines natural gas vehicle and the advantage of PHEV is put forward,based on the working condition of city road cycle and high road cycling analysis,set up a suitable power system structure,and selected based on the logic threshold power auxiliary and multi-objective based on neural network implementation of the two control strategy.The two control strategy are simulated using ADVISOR software,after get the result of a control strategy is superior to the former,and emissions standards can reach the standard V of the countries,its work efficiency is greatly raised,totally achieved the purpose of energy conservation and emissions reduction.
出处 《科学技术与工程》 北大核心 2014年第5期155-162,共8页 Science Technology and Engineering
关键词 插电式气电混合动力轿车 工况 仿真 节能减排 PHEV operating mode the simulation energy conservation and emissions reduction
  • 相关文献

参考文献16

  • 1Wada Y,Shimada S,Jibin W. Environmental performance evaluation of plug-in hybrid electric vehicles[J].World Electric Vehicle Journal,2009.1-8.
  • 2Sasaki M. Hybrid vehicle technology-current status and future challenges-effect of hybrid system factors on vehicle efficiency[J].Review of Automotive Engineering,2005,(02):52-56.
  • 3孙永正,李献菁,邓俊,胡宗杰,李理光,孙文凯,杨安志.插电式串联混合动力轿车的选型匹配与仿真[J].汽车工程,2010,32(12):1015-1020. 被引量:25
  • 4李兴虎.电动汽车概论[M]北京:北京理工大学出版社,200544-46.
  • 5刘希玲,丁焰.我国城市汽车行驶工况调查研究[J].环境科学研究,2000,13(1):23-27. 被引量:104
  • 6Wang A,Chen Y,Zhang R. A novel design of energy management system for hybrid electric vehicles using evolutionary computation[A].Berlin,Germany,2001.
  • 7Markel T,Simpson A. Plug-in hybrid electric vehicle energy storage system design[A].2006.
  • 8Seker S,Turkcan E,Ayaz E. Artificial neural networks fordynamic monitoring of simulated-operating parameters of high temperature gascooled engineering test reactor(HTTR)[J].Annals of Nuclear Energy,2003.1777-1791.
  • 9Yang I H,Yeo M S,Kim K W. Application of artificial neural network to predict the optimal start time for hearting system in building[J].Energy Conversion and Management,2003.2791-2809.
  • 10钱人一.雪佛兰Volt和欧宝Ampera带增程器的动力系统VOLTEC(一)[J].汽车与配件,2011(44):40-42. 被引量:5

二级参考文献26

  • 1何洪文,余晓江,孙逢春,张承宁.电动汽车电机驱动系统动力特性分析[J].中国电机工程学报,2006,26(6):136-140. 被引量:111
  • 2李孟良,张建伟,张富兴,赵春明.中国城市乘用车实际行驶工况的研究[J].汽车工程,2006,28(6):554-557. 被引量:44
  • 3余志生.汽车理论[M].北京:机械工业出版社,1985..
  • 4Caratozzolo P, Serra M, Riera J. Energy Management Strategies for Hybrid Electric Vehicles [C]//IEEE International Electric Machines and Drive Conference. Wisconsin, USA: IEMDC, 2003: 241-248.
  • 5Pisu P, Rizzoni G. A Comparative Study of Supervisory Control Strategies for Hybrid Electric Vehicles [J]. IEEE Transaction on Control Systems Technology (S1063-6536), 2007, 15(3): 506-518.
  • 6Paganelli G, Delprat S. Equivalent Consumption Minimization Strategy for Parallel Hybrid Powertrains [C]//IEEE 55th Vehicular Technology Conference. Birmingham, USA: IEEE, 2002: 2076-2081.
  • 7吴剑,张承慧,崔纳新.一种改进的并联式混合动力汽车控制策略[C]//第六届全球智能控制与自动化大会.Dalian:WCICA,2006:8339-8343.
  • 8Schouten N J, Salman M A, Kheir N A. Fuzzy Logic Control for Parallel Hybrid Vehicles [J]. IEEE Transaction on Control Systems Technology (S1063-6536), 2002, 10(3): 460-468.
  • 9Moreno J, Ortuzar M E, Dixon J W. Energy management system for a hybrid electric vehicle using ultracapacitors and neural networks [J]. IEEE Transaction on Industrial Electronics (S0278-0046), 2006, 53(2): 614-623.
  • 10Chan-Chiao Lin, Huei Peng, Jessy W Grizzle, Jun-Mo Kang. Power Management Strategy for a Parallel Hybrid Electric Truck [J]. IEEE Transaction on Control Systems Technology (S1063-6536), 2003, 11(6): 839-849.

共引文献145

同被引文献34

引证文献4

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部