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单行星排客车混动系统控制策略对比 被引量:2

Comparative Study of Control Strategies for Hybrid System of Single-Planet Bus
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摘要 为了提高混合动力汽车的燃油经济性及降低汽车的尾气排放,从中国城市典型工况的动力需求出发,以单行星排10.5m城市公交客车为研究对象,采用MATLAB软件建立整车经济性计算模型;然后,对比分析客车在单一目标控制策略和双层筛选全局优化控制策略下的节油效果.研究结果表明:在中国城市典型工况下,客车采用双层筛选全局优化控制策略比采用单一目标控制策略节油效果更为显著,节油率高达4.4%. In order to improve the fuel economy and reduce the exhaust emissions of hybrid vehicles,a single planetary row 10.5 m city bus was taken as the object to conduct the research.Starting from the dynamic demand of typical urban conditions in China,the MATLAB software was used to establish the economic calculation model of the whole vehicle.The fuel economy effect of the passenger car was comparatively analyzed under the single target control strategy and the double-layer screening global optimization control strategy.The analysis results showed that the fuel saving of the double-layer screening global optimization control strategy in typical urban conditions in China is 4.4%,which is more distinct than that of single target control strategy.
作者 孙贵斌 卓文得 李英 马腾腾 SUN Guibin;ZHUO Wende;LI Ying;MA Tengteng(School of Mechanical and Automotive Engineering,Xiamen University of Technology,Xiamen 361024,China;Fujian Institute of New Energy Vehicle and Safety Technology,Xiamen University of Technology,Xiamen 361024,China;Fujian Fugong Engineering Technology Limited Company,Xiamen 361000,China)
出处 《华侨大学学报(自然科学版)》 CAS 北大核心 2019年第4期464-469,共6页 Journal of Huaqiao University(Natural Science)
基金 福建省科技创新平台资助项目(2016H2003)
关键词 混合动力 全局优化 控制策略 单行星排 hybrid power global optimization control strategy single-planet
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  • 1浦金欢,殷承良,张建武.遗传算法在混合动力汽车控制策略优化中的应用[J].中国机械工程,2005,16(7):648-652. 被引量:37
  • 2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
  • 3房立存,秦世引.并联混合动力电动汽车最优控制及实例仿真[J].系统仿真学报,2007,19(1):110-113. 被引量:8
  • 4N.J. Sehouten, M. A. Salman, N. A. Kheir. Energy manage- ment stra - tegies for parallel hybrid vehicles using fuzzy logic [ J ]. Control Engineering Practice,2003,11 : 171-177.
  • 5A. Sciarretta,M. Back, L. Guzzella. Optimal control of par- allel hybrid eletric vehicles[J]. IEEE Trans. On Control Systems Tech- nology,2004,12 ( 3 ) :352-363.
  • 6S. Adhikari, S.K. Halgamuge, H.C. Watson. "Anonline power - balancing strategy for a parallel hybrid electric vehicle assisted by an integrated starter generator" [ J ]. IEEE Trans. On Vehicular Technology, 2010,59(6) :2689-2699.
  • 7A. Rousseau, S. Pagerit, D. Gao, Plug-in hybrid electric vehicle control strategy parameter optimization, in EVS23, Dec 2-5, 2007, Anaheim, California.
  • 8Y. M Gao, M. Ehsani. Design and control methodology of Plug-in hybrid electric vehicles. [ J]. IEEE Trans. On Industrial Elec- tronics, 2010, 57 ( 2 ) : 633 -640.
  • 9D. Karbowski, A. Rousseau, S. Pagerit, P. Sharer, Plug-in vehicle control strategy: From Global Optimization to Real - time Application, EVS23, Dec 2-5, 2007, Anaheim, California.
  • 10J. Kennedy and R.C. Eberhart. Particle swarm optimiza- tion, Proceedings of IEEE International Conference on Neural Net- works. Piscataway , NJ, IEEE service center, pp. 1942-1948,1995.

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