Best equivalent hydrogen consumption control strategy for fuel cell vehicle considering temperature affection
FU Jiang-tao
SI Xiu-li
LAI Guo-liang
LIU Jia-hao
Abstract：Fuel cell stack(FCS)is one of the primary energy sources for the application of new energy vehicles,and the equivalent fuel economy is a focal point of concern for many researchers.This article proposes an adaptive implementation control strategy to achieve optimal equivalent fuel economy by allocating power demand between the fuel cell and the power battery.In order to incorporate the influence of temperature into the control strategy,an FCS model with a thermal model and a power battery model considering temperature are established.Bayesian inference is employed to analyze and predict future power demand.Based on the FCS model,battery model,and predicted power demand,a real-time control strategy is designed,and optimization is conducted within the Pontryagin minimum principle.The proposed control strategy is validated through simulations and hardware-in-the-loop(Hil)experiments on an FCS with power of 40 kW.Comparison with rule-based control strategy and loss minimum strategy indicates that,considering the influence of temperature,the proposed control strategy effectively reduces equivalent fuel consumption by 4％.
Keywords：hybrid electric vehicle(HEV)fuel cell systemoptimal controlstate of charge(SOC)power requirement predictionequivalent fuel economy
Publication Date：2025-12-30
Online Publishing Date：2026-03-05(First online date of this platform, not the publication date of the document)
Pages：9( 2508-2516 )