Research on the hydrogen consumption of fuel cell electric vehicles based on the flowmeter and short-cut method

被引:8
|
作者
Lan, Hao [1 ]
Wang, Xiaobing [1 ]
Hao, Weijian [1 ]
Hao, Dong [1 ]
He, Yuntang [1 ]
Xu, Nuo [2 ]
机构
[1] China Automot Technol & Res Ctr Co Ltd CATARC, Tianjin 300300, Peoples R China
[2] Toyota Motor China Investment Co Ltd, Beijing 100020, Peoples R China
关键词
Fuel cell electric vehicle; Energy consumption; Short-cut method; Flowmeter method; OF-THE-ART; HYBRID;
D O I
10.1016/j.egyr.2022.09.091
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy consumption is essential for evaluating the competitiveness of fuel cell electric vehicles. A critical step in energy consumption measurement is measuring hydrogen consumption, including the mass method, the P/T method, and the flowmeter method. The flowmeter method has always been a research focus because of its simple operation, low cost, and solid real-time performance. Current research has shown the accuracy of the flowmeter method under specific conditions. However, many factors in the real scenario will influence the test result, such as unintended vibration, environment temperature, and onboard hydrogen capacity calibration. On the other hand, the short-cut method is also researched to replace the run-out method to improve test efficiency. To evaluate whether the flowmeter method basing on the short-cut method can genuinely reflect the hydrogen consumption of an actual vehicle, we research and test for New European Driving Cycle (NEDC) and China Light-Duty Vehicle Test Cycle (CLTC) using the same vehicle. The results show that the short-cut method can save at least 50% of the test time compared with the run-out method. The error of the short-cut method based on the flowmeter for the NEDC working condition is less than 0.1%, and for the CLTC working conditions is 8.12%. After adding a throttle valve and a 4L buffer tank, the error is reduced to 4.76% from 8.12%. The test results show that hydrogen consumption measurement based on the flowmeter and short-cut method should adopt corresponding solutions according to the scenarios.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:40 / 50
页数:11
相关论文
共 50 条
  • [1] A Novel Method for the Application of the ECMS (Equivalent Consumption Minimization Strategy) to Reduce Hydrogen Consumption in Fuel Cell Hybrid Electric Vehicles
    Sun, Wen
    Liu, Hao
    Han, Ming
    Sun, Ke
    Bai, Shuzhan
    Li, Guoxiang
    FDMP-FLUID DYNAMICS & MATERIALS PROCESSING, 2022, 18 (04): : 867 - 882
  • [2] A real-time hydrogen consumption estimation method for fuel cell vehicles
    Hu, Donghai
    Huang, Jixiang
    Lu, Dagang
    Wang, Jing
    INTERNATIONAL JOURNAL OF GREEN ENERGY, 2024, 21 (13) : 3112 - 3124
  • [3] A method for determining the optimal delivered hydrogen pressure for fuel cell electric vehicles
    Lin, Zhenhong
    Ou, Shiqi
    Elgowainy, Amgad
    Reddi, Krishna
    Veenstra, Mike
    Verduzco, Laura
    APPLIED ENERGY, 2018, 216 : 183 - 194
  • [4] Infinity-Horizon Cost-Based Controller for Reducing Fuel Cell Degradation and Hydrogen Consumption in Fuel Cell Hybrid Electric Vehicles
    Woo, Jemin
    Ahn, Changsun
    INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY, 2024, 11 (04) : 1229 - 1245
  • [5] Hydrogen fuel cell electric vehicles: new possibilities?
    Shao, Yuyan
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2015, 249
  • [6] Hydrogen Fuel Cell Electric Vehicles in Surface Mining
    Mari, Jorge
    2024 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO, ITEC 2024, 2024,
  • [7] Research on Rapid Evaluation Methods for Hydrogen Consumption and Driving Range of Fuel Cell Vehicles
    Sun, Letian
    Liang, Rongliang
    Wang, Guozhuo
    Wu, Shiyu
    Guo, Ting
    INTERNATIONAL JOURNAL OF CHEMICAL ENGINEERING, 2024, 2024 (01)
  • [8] Research on Energy Consumption Generation Method of Fuel Cell Vehicles: Based on Naturalistic Driving Data Mining
    Ma, Yangyang
    Wang, Pengyu
    Li, Bin
    Li, Jianhua
    MACHINES, 2022, 10 (11)
  • [9] A temperature fluctuation suppression control method of fuel cell vehicles to reduce hydrogen consumption
    Hu, Donghai
    Hou, Wenshuo
    Cheng, Zhaoxu
    Feng, Chunxiao
    Lu, Dagang
    Yi, Fengyan
    Yang, Qingqing
    Li, Jianwei
    Wang, Jing
    ENERGY, 2024, 305
  • [10] Can hydrogen fuel vehicles be a sustainable alternative on vehicle market?: Comparison of electric and hydrogen fuel cell vehicles
    Shin, Jungwoo
    Hwang, Won-Sik
    Choi, Hyundo
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 143 : 239 - 248