Optimization of fuel-cell tram operation based on two dimension dynamic programming

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Zhang, Wenbin^1 ; Lu, Xuecheng^1 ; Zhao, Jingsong^2 ; Li, Jianqiu^3

Department of Scientific Research, Military Transportation University, Tianjin

300161, China^1

Department of Automotive Engineering, State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing

100081, China^2

Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing

100084, China^3

关键词: Energy consumption model;    Maximum tractions;    Optimal control methods;    Optimal control problem;    Optimal control strategy;    Optimal controls;    Speed profile;    Two-dimension;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/2/022018/pdf
DOI  :  10.1088/1755-1315/121/2/022018

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper proposes an optimal control strategy based on the two-dimension dynamic programming (2DDP) algorithm targeting at minimizing operation energy consumption for a fuel-cell tram. The energy consumption model with the tram dynamics is firstly deduced. Optimal control problem are analyzed and the 2DDP strategy is applied to solve the problem. The optimal tram speed profiles are obtained for each interstation which consist of three stages: accelerate to the set speed with the maximum traction power, dynamically adjust to maintain a uniform speed and decelerate to zero speed with the maximum braking power at a suitable timing. The optimal control curves of all the interstations are connected with the parking time to form the optimal control method of the whole line. The optimized speed profiles are also simplified for drivers to follow.