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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358348