TY - GEN
T1 - A hierarchical predictive strategy-based hydrogen stoichiometry control for automotive fuel cell power system
AU - Quan, Shengwei
AU - Chen, Jinzhou
AU - Wang, Ya Xiong
AU - He, Hongwen
AU - Li, Jianwei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Fuel cell vehicles which have the advantages of high energy conversion efficiency and no pollution are considered to be an important development direction for new energy vehicles. The output of polymer electrolyte membrane fuel cell (PEMFC), as the main energy source of fuel cell vehicles, is influenced by fuel starvation due to untimely hydrogen supply under frequently changing vehicle operating conditions. Therefore, it is necessary to predict the vehicle speed and regulate the hydrogen stoichiometry to ensure the power of the vehicles and extend the durability of the PEMFC. In this paper, a hydrogen stoichiometry control system for PEMFCs is proposed based on hierarchical predictive strategy. The first layer prediction uses the Markov chain to predict the vehicle speed. The PEMFC current demand as a function of vehicle speed is calculated by the vehicle dynamics model and the PEMFC output characteristic model. The second layer prediction uses the model predictive control (MPC) method to control the fuel cell anode supply system and regulate the hydrogen stoichiometry. The hierarchical predictive control system has a good control effect, which can maintain the hydrogen stoichiometry above 1.4 during the whole operating process of vehicles.
AB - Fuel cell vehicles which have the advantages of high energy conversion efficiency and no pollution are considered to be an important development direction for new energy vehicles. The output of polymer electrolyte membrane fuel cell (PEMFC), as the main energy source of fuel cell vehicles, is influenced by fuel starvation due to untimely hydrogen supply under frequently changing vehicle operating conditions. Therefore, it is necessary to predict the vehicle speed and regulate the hydrogen stoichiometry to ensure the power of the vehicles and extend the durability of the PEMFC. In this paper, a hydrogen stoichiometry control system for PEMFCs is proposed based on hierarchical predictive strategy. The first layer prediction uses the Markov chain to predict the vehicle speed. The PEMFC current demand as a function of vehicle speed is calculated by the vehicle dynamics model and the PEMFC output characteristic model. The second layer prediction uses the model predictive control (MPC) method to control the fuel cell anode supply system and regulate the hydrogen stoichiometry. The hierarchical predictive control system has a good control effect, which can maintain the hydrogen stoichiometry above 1.4 during the whole operating process of vehicles.
KW - Hydrogen stoichiometry
KW - Markov random prediction
KW - Model predictive control
KW - Polymer electrolyte membrane fuel cell vehicle
UR - https://www.scopus.com/pages/publications/85078779018
U2 - 10.1109/VPPC46532.2019.8952244
DO - 10.1109/VPPC46532.2019.8952244
M3 - Conference contribution
AN - SCOPUS:85078779018
T3 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
BT - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
Y2 - 14 October 2019 through 17 October 2019
ER -