Optimal control strategy for economy and durability of extended range fuel cell vehicle

被引:0
作者
Lü Q. [1 ,2 ]
Teng T. [2 ]
Zhang B. [1 ,2 ]
Zhang X. [1 ,2 ]
Xue Q. [1 ,2 ]
机构
[1] School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing
[2] Beijing Key Laboratory of Powertrain Technology for New Energy Vehicles (Beijing Jiaotong University), Beijing
来源
Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology | 2021年 / 53卷 / 07期
关键词
Dynamic programming; Economy; Energy management strategy; Fuel cell; Vehicle engineering;
D O I
10.11918/202008115
中图分类号
学科分类号
摘要
To avoid the performance degradation of vehicle fuel cells due to start-stop changes, power fluctuations and other states, in the development process of energy management strategy, it is necessary to consider the durability of fuel cells while ensuring the economy. In this paper, the start-stop state of fuel cell is set as the state variable, and the idle transition stage is added between the start-up and shutdown states of the fuel cell, so as to achieve the adaptive start stop interval control of the fuel cell. The joint cost function of economy and durability is constructed by using fuel cell performance degradation index as durability cost and vehicle energy consumption as economic cost. Based on the improved dynamic programming algorithm, a joint optimization energy management strategy for the economy and durability of extended range fuel cell vehicles is established. The simulation results show that the vehicle energy consumption of the proposed strategy is 5.3% higher than that of the classical dynamic programming strategy, the output power of the fuel cell is stable, the start-stop changes are less, and the performance degradation degree is improved by 65.5%, which effectively ensures the vehicle economy and fuel cell durability. © 2021, Editorial Board of Journal of Harbin Institute of Technology. All right reserved.
引用
收藏
页码:126 / 133
页数:7
相关论文
共 19 条
  • [1] YUE M, SAMIR J, RAFAEL G, Et al., Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies, International Journal of Hydrogen Energy, 44, 13, (2019)
  • [2] ZHANG Junkai, Study on energy management strategy of fuel cell-battery-supercapacitor hybrid bus, (2018)
  • [3] LIN Lin, WU Rui, ZHANG Xinxin, Experimental investigation of membrane thickness and operating conditions on PEM fuel cell performance, Journal of Harbin Institute of Technology, 43, 3, (2011)
  • [4] PEI Pucheng, CHANG Qianfei, TANG Tian, A quick evaluating method for automotive fuel cell lifetime, International Journal of Hydrogen Energy, 33, 14, (2008)
  • [5] CHEN Hhuicui, PEI Pucheng, SONG Mancui, Lifetime prediction and the economic lifetime of proton exchange membrane fuel cells, Applied Energy, 142, (2015)
  • [6] ZHANG Tong, WANG Peiqi, CHEN Huicui, Et al., A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition, Applied Energy, 223, (2018)
  • [7] LIU Yonggang, LIU Junjun, ZHANG Yuanjian, Et al., Rule learning based energy management strategy of fuel cell hybrid vehicles considering multi-objective optimization, Energy, 207, (2020)
  • [8] WANG Zhe, XIE Yi, ZANG Pengfei, Et al., Energy management strategy of fuel cell bus based on Pontryagin' s minimum principle, Journal of Jilin University (Engineering and Technology Edition), 50, 1, (2020)
  • [9] SUN Haochen, FU Zhumu, TAO Fazhan, Et al., Data-driven reinforcement-learning based hierarchical energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles, Journal of Power Sources, 455, (2020)
  • [10] LI Qi, CHEN Weirong, LIU Zhixiang, Et al., Development of energy management system based on a power sharing strategy for a fuel cell-battery-supercapacitor hybrid tramway, Journal of Power Sources, 279, (2015)