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混联式HEV双模糊能量管理策略研究 被引量:1

Research on dual-fuzzy energy management strategy of hybrid HEV
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摘要 为降低混联式混合动力汽车的油耗,以提高整车燃油经济性和动力部件工作效率以及使整车具有良好的电量维持性为控制目标,提出一种基于双模糊控制的能量管理策略:串联模糊控制器以电量偏差和整车需求功率为输入,以发动机输出功率为输出,控制发动机一直工作在低油耗区;并联模糊控制器以电量偏差、需求扭矩偏差和发动机转速为输入,以发动机输出扭矩为输出,调整发动机工作状态。以全球轻型汽车测试循环为目标循环工况,仿真结果表明:所提出的双模糊能量管理策略有效改善了动力部件工作点,使之尽可能工作在高效率工作域内,提升了混合动力系统的总体效率,与单模糊策略相比,百公里燃油消耗下降了1.78%,动力电池满足电量平衡要求且电量偏差更小,混联式HEV具有更好的燃油经济性和电量维持性。 An energy management strategy was proposed with the objectives of increased fuel economy of the vehicle,improved working efficiency of power components,and good power maintenance so as to reduce the fuel consumption of hybrid electric vehicle.The series fuzzy controller took the electric quantity deviation and the required power of the whole vehicle as the input,and the engine output power as the output to control the engine to always work in the low fuel consumption area;the parallel fuzzy controller took the electric quantity deviation,the demanded torque deviation and the engine speed as the input,and the engine output power as the output.The output torque was the output,which adjusted the working state of the engine.Taking the global light vehicle test cycle as the target cycle condition,the simulation results show that the proposed dual-fuzzy energy management strategy could effectively improve the working point of the power components,made them work in the high-efficiency working area as much as possible,and improved the overall efficiency of the hybrid system.Compared with the single fuzzy strategy,the fuel consumption per 100 kilometers decreased by 1.78%,the power battery met the power balance requirements and the power deviation was smaller,and the hybrid HEV had better fuel economy and power maintenance.
作者 陈俊霖 刘胜永 CHEN Junlin;LIU Shengyong(School of Automation,Guangxi University of Science and Technology,Liuzhou 545616,China;Guangxi Key Laboratory of Auto Parts and Vehicle Technology(Guangxi University of Science and Technology),Liuzhou 545616,China)
出处 《广西科技大学学报》 2023年第1期58-64,共7页 Journal of Guangxi University of Science and Technology
基金 广西自然科学基金重点项目(2020GXNSFDA238011) 广西汽车零部件与整车技术重点实验室自主研究课题(2020GKLACVTZZ04) 广西自动检测技术与仪器重点实验室基金项目(YQ22203)资助。
关键词 混联式HEV 双模糊控制 能量管理策略 电量平衡 hybrid HEV dual fuzzy control energy management strategy power balance
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  • 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
  • 3赵子亮,刘东秦,刘明辉,李骏,王庆年.并联混合动力汽车控制策略与仿真分析研究[J].机械工程学报,2005,41(12):13-18. 被引量:28
  • 4Chau K T, Chan C C. Emerging energy-efficient technologies for hybrid electric vehicles. Proceedings of the IEEE, 2007, 95(4):821-835.
  • 5Salmasi F R. Control strategies for hybrid electric vehicles:evolution, classification, comparison, and future trends. IEEE Transactions on Vehicular Technology, 2007, 56(5):2393-2404.
  • 6Ehsani M, Gao Y M, Emadi A. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles:Fundamentals, Theory, and Design (2nd edition). New York:CRC Press, 2009.
  • 7Murphey Y L, Park J, Chen Z H, Kuang M L, Masrur M A, Phillips A M. Intelligent hybrid vehicle power control-Part I:machine learning of optimal vehicle power. IEEE Transactions on Vehicular Technology, 2012, 61(8):3519-3530.
  • 8Somayajula D, Meintz A, Ferdowsi M. Designing efficient hybrid electric vehicles. IEEE Vehicular Technology Magazine, 2009, 4(2):65-72.
  • 9Anbaran S A, Idris N R N, Jannati M, Aziz M J, Alsofyani I. Rule-based supervisory control of split-parallel hybrid electric vehicle. In:Proceedings of the 2014 IEEE Conference on Energy Conversion. Johor Bahru:IEEE, 2014. 7-12.
  • 10Lin C C, Peng H, Grizzle J W, Kang J M. Power management strategy for a parallel hybrid electric truck. IEEE Transactions on Control Systems Technology, 2003, 11(6):839-849.

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