中国机械工程

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基于无级变速器的混合动力汽车动态模式切换研究

王建德;周云山;阳辉勇;贾杰锋;李泉   

  1. 湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
  • 出版日期:2017-05-25 发布日期:2017-05-25
  • 基金资助:
    国家国际科技合作专项(2014DFA70170)

Research on Dynamic Mode Transition of Hybrid Electric Vehicle Based on Continuously Variable Transmission(CVT)

WANG Jiande;ZHOU Yunshan;YANG Huiyong;JIA Jiefeng;LI Quan   

  1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha,410082
  • Online:2017-05-25 Published:2017-05-25

摘要: 对基于无级变速器的混合动力系统的结构及其工作模式进行分析,建立了动力学模型。针对伴随发动机启动的混合动力模式切换问题,提出了一种模糊推理与最优控制理论相接合的综合控制策略。首先基于驾驶意图采用模糊控制得到离合器接合时长,然后基于动力学模型采用动态规划得到离合器的最优传递转矩和发动机的最优目标转矩,再根据离合器最优传递转矩利用电机的快速响应性来实时调整电机输出转矩。通过试验对上述模式切换控制策略进行了验证。试验结果表明:该策略能够优化离合器滑摩时间,体现驾驶意图,实现模式切换的平顺性。

关键词: 模式切换, 驾驶意图, 模糊控制, 动态规划

Abstract: For a hybrid electric system based on continuously variable transmission(CVT), its structures and working modes were analyzed, and a kinetics model was established. A comprehensive control strategy combining fuzzy reasoning and optimal control theory was proposed for mode transition with engine starting. In the strategy, a clutch combination time was firstly obtained by fuzzy control based on driving intention. Then, an optimal clutch transmission torque and an optimal engine target torque were determined through the kinetics model with dynamic programming. Finally, the output torque of the motor was adjusted in real time according to the optimal clutch transmission torques by making use of the quick responsiveness of motor. Experiments were performed to verify the proposed control strategy. The experimental results show that the control strategy may optimize the clutch slip time based on driving intention, and achieve the smoothness of mode transition.

Key words: mode transition, driving intention, fuzzy control, dynamic programming

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