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单轴并联混合动力商用车整车总质量在线估计算法

  • Cheng Mei
  • , Jianxin Peng*
  • , Yuhui Hu
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • Ltd.
  • Beihang University

科研成果: 期刊稿件文章同行评审

摘要

It is difficult for the automatic transmission controller of hybrid commercial vehicle to measure the total mass to optimize the shifting. An online mass estimation algorithm is proposed for the single-shaft parallel hybrid commercial vehicle. The parameter characteristics of vehicle's total mass during driving is analyzed, based on which the boundary conditions are set. A vehicle longitudinal dynamics model is established, and the working conditions of P2 hybrid system are studied. On this basis, the extended Kalman filter (EKF) algorithm is used to estimate the vehicle's total mass online. Cruise/Simulink co-simulation is realized by combining the vehicle model built in Cruise and the controller strategy model built in Simulink. Simulation tests and real vehicle tests were carried out. The test results show that the proposed algorithm can effectively identify the total mass of vehicle which satisfies the vehicle control requirements.

投稿的翻译标题An Online Mass Estimation Algorithm for Single-shaft Parallel Hybrid Commercial Vehicle
源语言繁体中文
页(从-至)1838-1846
页数9
期刊Binggong Xuebao/Acta Armamentarii
42
9
DOI
出版状态已出版 - 9月 2021

关键词

  • Cruise/Simulink co-simulation
  • Hybrid commercial vehicle
  • Kalman filter
  • Online estimation algorithm
  • Vehicle total mass

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