期刊文献+

轻度混合动力汽车运行模式控制 被引量:5

Operating mode control research of mild hybrid electric vehicle
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摘要 基于实际工程应用的目的,分析了轻度混合动力汽车不同运行模式间的状态迁移及相应模式下的控制策略,通过加速踏板和电子节气门开度变化,详细讨论了行驶模式下的控制策略。在Matlab/Simulink中建立了整车运行模式的状态逻辑模型,在给定的ECE15+EUDC循环工况下进行了仿真分析。最后在转鼓试验台上对改装前后的传统车和轻度混合动力车进行了排放和油耗对比试验。仿真及试验结果表明:在给定的循环工况下,发动机和ISG电机的输出转矩能满足工况需求;改装后的轻度混合动力车相比传统车而言,HC排放降低73.3%、CO排放降低35%,且远低于欧Ⅲ排放限值,百公里油耗约降低15.1%,节油效果明显。 Based on the purpose of the practical engineering applications,the state transition between operating modes of HEV and the corresponding control strategy of the modes were analyzed.Through the opening variation of the accelerator pedal and the electronic throttle,the control strategy of HEV in driving mode was discussed in detail.The state logic model of the HEV's operating modes was built in Matlab/Simulink environment.And the performances of the HEV were simulated in the ECE15+EUDC driving cycle operating mode.Finally the emission and fuel consumption contrast experiments between the traditional vehicle and HEV were carried out on the roll test station.The simulation and test results show that the output torque of the engine and ISG motor can meet with the driving cycle requirements.HC emission decreases by 73.3%,and CO emission decreases by 35% of HEV,compared to that of the traditional vehicle,and the total emissions are much less than Europe Ⅲ emission limits.At the same time,100-kilometer fuel consumption approximately decreases by 15.1% and the fuel saving result is obvious.
出处 《农业工程学报》 EI CAS CSCD 北大核心 2011年第10期61-67,共7页 Transactions of the Chinese Society of Agricultural Engineering
基金 国家"863"计划重大专项资助项目(2006AA11A128 2008AA11A125) 内燃机燃烧学国家重点实验室开放基金项目(K2011-09)
关键词 仿真 试验 运行模式 控制策略 混合动力汽车 simulation test operating mode control strategy hybrid electric vehicle(HEV)
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参考文献9

  • 1Niels J. Schouten, Mutasim A Salman, Naim A Kheir. Energy management strategies for parallel hybrid vehicles using fuzzy logic[J]. Control Engineering Practice, 2003, 11(2): 171- 177.
  • 2Jorge Moreno, Micah E. Ortuzar, Juan W. Dixon. Energy- Management system for a hybrid electric vehicle, using ultracapacitors and neural networks[J]. IEEE Transactions On Industrial Electronics, 2006, 53(2): 614-623.
  • 3严运兵,陈华明,张光德.并联混合动力汽车的发动机转矩估计[J].汽车工程,2008,30(2):117-120. 被引量:5
  • 4Frederick G Harmon, Andrew A Frank, Sanjay S Joshi. The control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle using a CMAC neural network[J]. Neural Networks, 2005, 18(5/6): 772- 780.
  • 5Hyunjae Yoo, Seung-Ki Sul, Yongho Park, et al. System integration and power-flow management for a series hybrid electric vehicle using supercapacitors and batteries[J]. IEEE Transactions on Industry Applications, 2008, 44(1): 108- 114.
  • 6王庆年,郑君峰,王伟华.一种新的并联混合动力客车的自适应控制策略[J].吉林大学学报(工学版),2008,38(2):249-253. 被引量:8
  • 7Bailey K E, Cikanek S R, Sureshbabu N. Parallel hybrid electric vehicle torque distribution method[C]//Proceedings of the American Control Conference, Anchorage, 2002:3708 -3712.
  • 8Carter R N, Pfefferle W C, Menacherry P, et al. Laboratory evaluation of ultra-short metal monolith catalyst[C]//SAE Paper Number: 980672.
  • 9陈汉玉,袁银南,张彤.轻度混合动力轿车ISG电机特性试验研究[J].汽车工程,2009,31(8):715-718. 被引量:4

二级参考文献17

  • 1刘金玲,宋健,于良耀,王玉海,季来春.并联混合动力客车控制策略比较[J].公路交通科技,2005,22(1):144-146. 被引量:13
  • 2吕胜利,左曙光.并联混合动力汽车控制策略的综合分析[J].上海汽车,2005(7):26-30. 被引量:11
  • 3Jim Walters, Harry Husted, Kaushik Rajashekara. Comparative Study of Hybrid Powertrain Strategies[ C ]. SAE Paper 2001-01 - 2501.
  • 4Duoba Michael, Ng Henry, Larsen Robert. Characterization and Comparison of Two Hybrid Electric Vehicles (HEVs) - Honda Insight and Toyota Prius[ C]. SAE Paper 2001 -01 -1335.
  • 5Kensuke Kamichi, Kazuomi Okasaka, Mamoru Tomatsuri, et al.Hybrid System DevelOpment for a High-performance Rear Drive Vehicle[ C]. SAE Paper 2006 -01 - 1338.
  • 6Sobel Jarl R, et al, Instantaneous Crankshaft Torque Measurement in Cars[ C]. SAE Paper 960040.
  • 7Delprat S, Paganelli G,Guerra T M, et al. Algorithmic optimization tool for evaluation of HEV strategies[C]// EVS16, Beijing, 1999.
  • 8Paganelli G, Antin J. Conception and control of parallel hybrid car power trains [C] // EVS15, Brussels, 1998.
  • 9Paganelli G, Delprat S, Guerra T M, et al. Equipvalent consumption minimization strategy for parallel hybrid powertrains[C]//IEEE Vehicular Technology Conference, Atlantic City, 2002.
  • 10Delpart S, Guerra T M, Paganelli G, et al. Control strategy optimization for an hybrid parallel powertrain[C] // Proceedings of the American Control Conference, Arilington, 2001.

共引文献14

同被引文献73

  • 1杜玖玉,王贺武,黄海燕.基于规则的混联式混合动力系统控制策略[J].农业工程学报,2012,28(S1):152-157. 被引量:16
  • 2吕安涛,毛恩荣,宋正河,田甜,侯江丽.一种拖拉机自动驾驶复合模糊控制方法[J].农业机械学报,2006,37(4):17-20. 被引量:28
  • 3浦金欢,殷承良,张建武.并联型混合动力汽车燃油经济性最优控制[J].上海交通大学学报,2006,40(6):947-951. 被引量:31
  • 4付百学,马彪,潘旭峰.现代汽车电子技术[M].北京:北京理工大学出版社,2008.
  • 5Kaizu Y, Yokoyama S, Imou K, et al. Vision-based navigation of a rice transplanter[C]//2004 CIGR Intemational Conference. Beijing: IEEE, 2004: 144- 147.
  • 6Noguchi N, W ill J, Reid J, et al. Development of a master, slave robot system for farm operations[J]. Computer and Electronics in Agriculture, 2004, 44(1): 1 - 19.
  • 7王立新,王迎军.模糊系统和模糊控制[M].北京:清华大学出版社,2003:120-165.
  • 8Mizumoto M. Min-max-gravity method ver sus product-sum-gravity method for fuzzy controls[C]//Proe, IV IFSA Congress(Part E). Brussels: IEEE, 1991: 127-130.
  • 9Mizumoto M. Realization of PID controls by fuzzy control methods[C]//Proc IEEE International Conference on Fuzzy System. San Diego: IEEE, 1992: 709-715.
  • 10Xu Jianxin, Hang Changchieh, Liu Chen. Parallel s~ and tuning of a fuzzy PID controller[J]. Automatica, 2000, 36(5): 673 -684.

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