• DocumentCode
    577804
  • Title

    MLD-based predictive control of energy management for hybrid electric bus

  • Author

    Kou, Zhitao ; Song, Chunyue ; Pan, Zheng

  • Author_Institution
    State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    2806
  • Lastpage
    2811
  • Abstract
    In this paper, the energy management strategy of HEB (hybrid electric bus) is designed based on MLD (Mixed Logical Dynamical) model. After establishing simplified models of vehicle´s fuel consumption and battery´s SOC(state of charge) change, the dynamics of the HEB are analyzed in each operating modes and associated MLD models are formulated. Then the problem of solving the energy management strategy is turned into a MILP (mixed integer linear programming) problem and real-time HEB energy management strategy is gotten by solving the MILP problem. Meanwhile, a receding-horizon strategy is employed to resist random disturbances and make up model mismatches. The simulations show that the presented approach improved fuel economy and reduced emissions.
  • Keywords
    air pollution; energy consumption; energy management systems; hybrid electric vehicles; integer programming; linear programming; predictive control; random processes; road vehicles; HEB dynamics; MILP; MLD model; MLD-based predictive control; battery SOC; emission reduction; fuel economy; hybrid electric bus; mixed integer linear programming; mixed logical dynamical model; random disturbance; real-time HEB energy management strategy; receding-horizon strategy; state of charge change; vehicle fuel consumption; Analytical models; Energy management; Mathematical model; Mixed integer linear programming; Predictive control; System-on-a-chip; Tin; energy management; hybrid electric bus; mixed integer linear programming; mixed logical dynamical; operating modes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358348
  • Filename
    6358348