Real-Time Energy Economy Optimization Based on Nonlinear MPC for Hybrid Electrical Buses

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Liu, Biao^1 ; Wang, Tianyuan^1 ; Wang, Hengyang^1 ; Hu, Zhiqiang^1

College of Electrical Engineering, Beijing Jiaotong University, Beijing

100044, China^1

关键词: Energy management strategies (EMS);    Hybrid electric bus;    Hybrid electric vehicles (HEVs);    Inequality constraint;    Nonlinear model predictive control;    Optimal control problem;    Optimization strategy;    Pontryagin's minimum principles;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032100/pdf
DOI  :  10.1088/1755-1315/252/3/032100

来源: IOP

【 摘 要 】

Hybrid electric vehicles (HEVs) which combine at least two energy sources are characterized by high efficiency and seem to strongly support the objective to cut greenhouse gases. In this paper, hybrid electric bus (HEB) with coaxial series-parallel configuration is proposed and very little research on the economy optimization of this powertrain has been done. Considering that predictive control has the mechanism for controlling the nonlinear process while tackling equality or inequality constraints, nonlinear model predictive control (NMPC) is applied to the energy management strategy (EMS) for the HEB. The NMPC-based EMS is formulated and then converted into optimal control problem based on Pontryagin's Minimum Principle (PMP) which can be solved with an iterative method. Finally, the architecture of the EMS problem established and the results of the proposed optimization strategy are illustrated and turn out to be satisfying.