基于行驶工况的混合动力汽车参数匹配、控制策略研究及仿真平台搭建
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摘要
混合动力汽车被认为是当今汽车工业最具产业化意义的新能源汽车类型之一,对缓解世界能源危机和环境污染等问题有着重要的意义。近年来,国家出台了一系列的政策来支持新能源汽车产业的发展,这对我国新能源汽车的发展起了一个积极推动作用。
     混合动力汽车参数匹配作为其关键技术之一,对整车性能起着决定性的作用。然而,长期以来混合动力汽车的参数匹配方法主要参照传统汽车的理论公式推导和基于混合度算法等方面,而对行驶工况对整车性能的影响没有足够的重视。行驶工况对汽车性能的影响很大,因此,研究基于行驶工况法对混合动力汽车的参数匹配的影响具有很好的理论和实践意义。
     本文提出了一种基于行驶工况的混合动力汽车参数匹配方法,该方法首先对目前世界各国的汽车行驶工况进行统计分析,分别计算不同工况下车辆总功率的需求和总转矩的需求,分别对其进行统计,然后确定其整车的总功率、发动机功率、电机功率和电池的参数等。并以一种新型的混联式混合动力汽车为例,对其进行建模仿真,并以欧洲城市工况(CYC_ECE_EUDC)和高速公路工况(CYC_HWFET)为例,对基于行驶工况的混合动力汽车参数匹配法和基于混合度的参数匹配法进行了对比仿真。
     在确定了整车参数之后,还建立了整车仿真模型。同时还着重分析了控制策略对整车性能的影响。针对研究对象,提出了电动优先的混合控制策略,并分析该种控制策略对整车燃油经济性和排放性的影响,并与基于发动机最优工作区间控制策略进行了对比分析。仿真结果表明,电动优先的混合控制策略要优于发动机最优工作区间控制策略。同时也制定了相应的制动控制策略,仿真结果表明,在CYC_UDDS工况下制动回收能量比Advisor中的制动控制策略的仿真结果提高了约30%。
     最后,论文还详细的介绍了HEV仿真软件平台的开发过程。分别搭建了传统车、串联式、并联式和本文类型的混联式结构的仿真平台,通过Matlab/GUI界面来进行调用,这大大降低了以后仿真的工作量。
     论文最后对研究内容以及成果进行了归纳总结,并对今后进一步的研究提出了建议。
The Hybrid Electric Vehicles (HEVs) are recognized as one of the most advanced technologies in the automobile industry. HEVs are efficient for solving the world’s energy and environmental problems. Nowadays, a series of encouraging policies have been proposed to propell HEV’s developing.
     The vehicle duty cycle is one of the most important issues to parameter matching. However, duty cycle affects HEV performance significantly, but it had not been used in HEV parameter in the literatures. So a method for matching parameter of HEV based on the vehicle duty cycle is proposed. In this paper, the works carried out as follows.
     In this paper, a new method for parameter matching of HEV based on vehicle duty cycle is proposed. Many duty cycles are carefully statistics, the torque and power requirement are calculated, and the total power of the vehicle、engine power、paramter of the motor are finally definited. At last, taking the novel series-parallel HEV as an example, the HEV’s power requirements are calculated according to the theory of automobile dynamics in several typical drive cycles. The HEV’s simulation model is also established using the backward simulation tool. Parameters of the powertrain system are chosen carefully by analyzed of the simulated results. At last, the parameters of the system are definited. And taking the CYC_ECE_EUDC cycles and HWFET cycles for example, its simulated results are compare to convention parameter matching method.
     Second, once the parameters are definited, the model of the vehicle is built and simulated. Also the several control strategies has been analyzed. They have significant influence to the HEV’s performance. The HEV’s mainly drive mode is analyzed, the mainly control strategy is established. The new control strategy is better than the conventional control strategy .The energy recovery braking in UDDS is improved about 30% compare to the Advisor’s recovery strategy.
     At last, this software is designed in Matlab/Simulink and GUI. It contains series, parallel and others vehicle’s model. It can save time by second-develop the software. The research achievements are summarized and the proposal of the next research is put forward.
引文
[1] K. Muta, M. Yamazaki, J. Tokieda. Development of new-generation hybrid system THSⅡ-Drastic improvement of power performance and fuel economy[J]. SAE, Warrendale, PA, Tech.Rep. 2004-01-0064, 2004
    [2] C. C. Chan. The state of the art of electric and hybrid vehicles[J]. IEEE, 2002, 90(2): 247-275
    [3] Subaru Hybrid Carsh. http://www.hybrid-vehicles.net/subaru-hybrid-cars.htm,2006.5.20
    [4]杜子学,王可.车用能源及新型动力车的发展与研究[J].上海汽车,2007(6): 3-8
    [5] Morita K. Automotive power source in 21st century[J]. JSAE Review,2003,24(1): 3-7
    [6] http://www.hybrid.com/modules.php?name=Ford_Hybrid_Cars, 2005.2.1
    [7] http://www.hybridcars.com/Silverado-sierra.html.2006-2-3
    [8]王晓明,吴志新.混合动力电动汽车[J].世界汽车, 2004(1): 30-33
    [9] Isaya Matsuo, Takeshi Myiamoto. The Nissan Hybrid Vehicle[J]. Society of Automotive Engineers, 2000-01-1568
    [10]卢山,解本欣.混合动力技术及研发实践[J].农业装备与车辆工程,2008(1): 6-8
    [11]岳东鹏,郝志勇,张俊智.混合动力电动汽车研究开发及前景展望[J].拖拉机与农用运输车,2004(2): 1-4
    [12]叶玲,杨志伟,李昆.混合动力电动汽车的发展[J].北京汽车. 2002(6): 11-15
    [13]张翔,赵韩,钱立军等.国内各主要单位电动汽车研发项目进展情况及主要产品介绍[J].汽车技术, 2004(5): 42-44
    [14]唐磊.基于混合度的串联式混合动力客车特性参数设计[D].吉林大学硕士学位论文,2008.6
    [15] Avra Brahma, Bradley Glenn, Yan Guezennec, Troy Miller, Giorgio Rizzonni, Gregory Washington. Modeling Performance Analysis and Control Design of a hybrid Sport-Utility Vehicle[J]. Proceedings of the 1999 IEEE International Conference on Control Applications August 22-27,1999,448-453
    [16] An Feng, Barth Matthew, Scora G. Impacts of Diverse Driving Cycles on Electric and Hybrid Electric Vehicle Performance [J]. SAE paper 1997: 36-38
    [17] Reza Langari, Jong-Seob Won. Integrated Drive Cycle Analysis for Fuzzy Logic Based Energy Management in Hybrid Vehicles[J].The IEEE International Conference on Fuzzy Systems, 2003(1): 290-295
    [18]罗玉涛,胡红斐,沈继军.混合动力电动汽车行驶工况分析与识别[J].华南理工大学学报,2007(6): 8-13
    [19]赵克刚,罗玉涛.并联式HEV机电耦合方案对比研究[J].机械传动,2007(5): 91-93.
    [20]郭晓建.轻度混合动力汽车动力电池匹配研究[D].大连理工大学硕士学位论文,2007.6
    [21]余志生.汽车理论[M].北京:机械工业出版社, 2006.5: 1-56
    [22]彭涛,陈全世,田光宇等.并联混合动力电动汽车动力系统的参数匹配[J].机械工程学报,2003,39(2): 69-73
    [23]赵克刚,黄向东,罗玉涛.混联式混合动力电动汽车动力总成的优化匹配与监控[J].汽车工程,2005, 27(2): 146-150
    [24]熊伟威,舒杰.一种混联式混合动力客车动力系统参数匹配[J].上海交通大学学报,2008, 42(8): 1324-1328
    [25]胡明辉. CVT轻度混合动力汽车能量管理策略研究[D].重庆大学博士学位论文,2007,10
    [26]于秀敏,曹珊,李君等.混合动力汽车控制策略的研究现状及其发展趋势[J].机械工程学报,2006(11):10-16
    [27] A Klermarer and D Schroder. An Approach for the Online Optimized Control of a Hybrid Powertrain[J]. IEEE , 2002: 215-220
    [28] Hyeoun-Dong Lee and Seung-Ki sul. Fuzzy-Logic-Based Torque Control Strategy for Parallel-Type Hybrid Electric Vehicle[J]. IEEE Transactions on industrial electronics, Vol45, NO4, August 1998(45): 625-632
    [29] Chao-Chiao Lin, Huer Peng, Jessy WGrizzle, Fellow. Power Management Strategy for a Parallel Hybrid Electric Truck[J]. IEEE Transactions on control systems technology, Vol 11, No6, November 2003: 839-849
    [30] Johnstion B, Moegoldrich T, Funstion D. The Continued Dsign and Development of the University of California Davis Future car[J]. SAE paper, 1998: 459-462
    [31] Sheng-Chung Tzeng, K David Huang, Chia-Chang Chen. Optimization of the dual energy integration mechanism in a parallel-type hybrid vehicle[J]. Applied Energy 2005 (80) : 225-245
    [32] Antonio Sciarretta, Michael Back, Lino Guzzella. Optimal Control of a Hybrid Electric Vehicle[J]. IEEE Transactions on control systems technology, 2004, 12 (3): 352-363
    [33] Chunho Kim, Eok NamGoong, Seongchul Lee, Talchol Kim, Hyunsoo Kim. FuelEconomy Optimization for Parallel Hybrid Electric Vehicle with CVT[J]. SAE paper 1999: 337-343
    [34] Zoelch U, Schrode D. Optimization method of rating the components of a Hybrid Vehicle[J]. EVS14,1997: 678-682
    [35] Delprat S, Lauber J, Guerra T M, etc. Control of a Parallel Hybrid Powertrain[J]. IEEE Transactions on Vehicular Technology, 2004, 53(3): 872-881
    [36] Miaohua Huang, Houyu Yu. Optimal Control Strategy Based on PSO for Powertrain of Parallel Hybrid Electric Vehicle[J]. IEEE, 2006: 352-355
    [37] Sebastien Delprat, Jimmy Laube, Thierry Marie Guerra and J Rimaux. Control of a Parallel Hybrid Power train Optimal control[J]. IEEE Transactions on vehicular technology, 2004, 53(3) : 872-881
    [38] Niels Schouten, Mutasim A Salmanb, Naim A Kheir. Energy management strategies for parallel hybrid vehicles using fuzzy logic[J].Control Engineering Practice 2003 (11):171-177
    [39] Naim A Kheir, Mutasim A Salman, Niels J Schoute. Emissions and fuel economy trade-off for hybrid vehicles using fuzzy logic[J]. Mathematics’and Computer in Simulation 2004 (66) : 155-172
    [40] M Salam, Niels J Schoute, Naim A Kheir. Control Strategies for Parallel Hybrid Vehicles[J]. Proceedings of the American Control Conference, Chicago IIIinors, June 2000: 1102-1106
    [41]朱元,田宇光,陈全世等.混合动力汽车能量管理策略的四步骤设计方法[J].机械工程学报,2004(8): 127-133
    [42]胡红斐,黄向东,罗玉涛等.并联式混合动力电动汽车全局优化控制[J].华南理工大学学报(自然科学版),2006(4): 28-36
    [43]胡红斐,黄向东,罗玉涛等.一种混联式HEV瞬时优化监控策略的研究[J].中国机械工程,2006(3): 649-653.
    [44]胡红斐,黄向东,罗玉涛等. HEV实时等效能量消耗最小控制策略[J].汽车工程,2006(6): 516-520
    [45]陈清泉,孙逢春,祝嘉光编著.现代电动汽车技术[M].北京:北京理工大学出版社,2002: 1-40
    [46]沈同全,程夕明,孙逢春.混合动力汽车的发展趋势[J].农业装备与车辆工程,2006(03): 7-10
    [47] NREL. ADVISOR Help Documentation. DOE. 2002
    [48] Charles Kingsley, J r著.电机学[M ].第六版.刘新正等译.北京:电子工业出版社, 2004: 1-50
    [49] Cai Chenghui, Du Dong, Ge Jingtian, et al. Battery-charging model to study transient dynamics of battery at high frequency [C]. TENCON 02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. Volume 3, 28-31 Oct. 2002:1843-1846
    [50]黄援军,殷承良,张建武等.并联式混合动力城市公交车动力系统参数匹配[J].上海交通大学学报,2007,41(2): 272-277
    [51]席军强,王雷,付文清等.纯电动客车自动机械变速器换挡过程控制[J].北京理工大学学报,2010,30(1):42-45
    [52]黎苏,黎晓鹰,黎志勤.汽车发动机动态过程及其控制[M].人民交通出版社,2001: 86-88
    [53]韩建群,郑萍.基于Matlab的永磁同步双定子/双转子电机直接转矩控制仿真建模[J ].微电机, 2007, 40(4): 1-4
    [54] Zhan C, Wu J, Kromlidis X.G, Ramachandaramurthy S, et al. Two electrical models of the lead-acid battery used in a dynamic voltage restorer [J]. Generation, Transmission and Distribution, IEE Proceedings-Volume 150, Issue 2, 2003, 3:175-182
    [55]裴锋.混合动力电动汽车动力电池组荷电状态与均衡管理研究[D].华南理工大学博士学位论文,2007
    [56]胡明辉,秦大同.混合动力汽车镍氢电池组的充放电效率分析[J].重庆大学学报,2009, 32(3):279-282
    [57] United States Idaho National Engineering & Environmental Laboratory. Freedom CAR battery test manual for power-assist hybrid electric vehicles[R]. Washington D C:U S Department of Energy, 2003
    [58]魏学哲,孙泽昌,田佳卿.锂离子动力电池参数辨识与状态估计[J].同济大学学报(自然科学版),2008, 36(2): 231-235
    [59]陈清泉,孙逢春编译.混合电动车辆基础[M].北京:北京理工大学出版社,2001, 1-30
    [60]魏跃远,林逸.车用锂离子电池充放电性能及应用研究[J].车辆与动力技术,2005(2): 28-31
    [61]石建珍,吴锋,陈实.HEV用动力电池的模型特征分析[J].武汉理工大学学报(交通科学与工程版),2007(4): 569-572
    [62] GB18352.2-2001,轻型汽车污染排放限值及测试方法
    [63] [美] M. R.斯皮格尔,J.希勒,R. A.斯里尼瓦桑著.数理统计[M].第二版.孙山泽,戴中维译.科学出版社,2002: 58-60
    [64]辛世界,隆武强,范立云等.并联混合动力城市客车控制策略研究[J].大连理工大学学报,2007(47): 1-6.
    [65] CHAU K T, WONG Y S. Overview of power management in hybrid electric vehicles [J]. Energy Conversion and Manage, 2002,43(15): 1953-1968
    [66] Seiler J, Schroder D. Hybrid vehicle operating strategies[J]. Electric Vehicle Symposium Bruxelles,1998,15: 12-18
    [67] Lee H D, Sul S K. Fuzzy Logic based torque control strategy for parallel type HEV[J]. IEEE Transactions on Industrial Electronics,1998,45(4): 625-634
    [68]喻厚宇,黄妙华,邓楚南.并联HEV发动机最优工作曲线和高效工作区的确定[J],新能源汽车,2007: 3-6
    [69]武小兰,王军平,曹秉刚等.充电式混合动力电动汽车动力系统的参数匹配[J].汽车工程,2008, 30(12): 1095-1098
    [70] Qiuming Gong, Yaoyu Li and Zhong-Ren Peng. Optimal Power Management of Plug-in HEV with Intelligent Transportation System[C]. IEEE Vehicle Power and Propulsion Conference, 2007:1-6
    [71]张元才,余卓平,徐乐等.基于制动意图的电动汽车复合制动系统制动力分配策略研究[J].汽车工程,2009,31(3): 244-249
    [72]郭晋晟,王家明,杨林等.基于模糊控制的柴油混合动力客车制动回馈[J].上海交通大学,2008, 42(8): 1344-1348
    [73]舒红,秦大同,胡明辉等.轻度混合动力汽车再生制动能量管理策略[J].机械工程学报,2009, 45(1): 167-173
    [74]胡安平.基于AMESim-Simulink联合仿真的再生制动系统研究[D].吉林大学硕士学位论文,2008.6
    [75]罗华飞. Matlab/GUI设计学习手记[M].北京航空航天大学出版社,2009: 224-265

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