Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning

被引:52
作者
Jinquan, Guo [1 ]
Hongwen, He [1 ]
Jianwei, Li [2 ]
Qingwu, Liu [3 ]
机构
[1] Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
[2] Univ Oxford, Dept Engn Sci, Parks Rd, Oxford OX1 3PJ, England
[3] Polytech Montreal, Dept Civil Geol & Min Engn, Montreal, PQ H3C 3A7, Canada
基金
中国国家自然科学基金;
关键词
FCHEB; SUMO; Intersection speed planning; DP; MPC; Energy management; STRATEGY; SYSTEM; SIMULATION; PREDICTION; VEHICLES; MODEL; SUMO;
D O I
10.1016/j.energy.2021.120440
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:14
相关论文
共 33 条
[1]   PEM fuel cell model and simulation in Matlab-Simulink based on physical parameters [J].
Abdin, Z. ;
Webb, C. J. ;
Gray, E. MacA. .
ENERGY, 2016, 116 :1131-1144
[2]   The effects of driving patterns and PEM fuel cell degradation on the lifecycle assessment of hydrogen fuel cell vehicles [J].
Ahmadi, Pouria ;
Torabi, Seyed Hosein ;
Afsaneh, Hadi ;
Sadegheih, Yousef ;
Ganjehsarabi, Hadi ;
Ashjaee, Mehdi .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (05) :3595-3608
[3]   Energy management of PEM fuel cell/supercapacitor hybrid power sources for an electric vehicle [J].
Allaoua, Boumediene ;
Asnoune, Khadidja ;
Mebarki, Brahim .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (33) :21158-21166
[4]   A combinatorial optimisation approach to energy management strategy for a hybrid fuel cell vehicle [J].
Caux, Stephane ;
Gaoua, Yacine ;
Lopez, Pierre .
ENERGY, 2017, 133 :219-230
[5]  
EHSANI M., 2018, Modern Electric, Hybrid Electric, and Fuel Cell Vehicles
[6]   Design of an adaptive EMS for fuel cell vehicles [J].
Ettihir, K. ;
Cano, M. Higuita ;
Boulon, L. ;
Agbossou, K. .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (02) :1481-1489
[7]   Micro-Short-Circuit Diagnosis for Series-Connected Lithium-Ion Battery Packs Using Mean-Difference Model [J].
Gao, Wenkai ;
Zheng, Yuejiu ;
Ouyang, Minggao ;
Li, Jianqiu ;
Lai, Xin ;
Hu, Xiaosong .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (03) :2132-2142
[8]   A comprehensive review on energy management strategies of hybrid energy storage system for electric vehicles [J].
Geetha, A. ;
Subramani, C. .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2017, 41 (13) :1817-1834
[9]   A novel MPC-based adaptive energy management strategy in plug-in hybrid electric vehicles [J].
Guo Jinquan ;
He Hongwen ;
Peng Jiankun ;
Zhou Nana .
ENERGY, 2019, 175 :378-392
[10]   Hybrid electric vehicles and their challenges: A review [J].
Hannan, M. A. ;
Azidin, F. A. ;
Mohamed, A. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 29 :135-150