To effectively improve the fuel cell vehicle economy

it is necessary to systematically explore how to carry out deep energy saving. First

the impact of configuration on fuel economy is analyzed by simulation

and then based on the theoretical hydrogen consumption model

the influencing factors of hydrogen consumption are determined and the microeconomic analysis of each influencing factor is carried out in turn. Finally

the hydrogen consumption limit of the vehicle is determined by ergodic weight coefficient dynamic programming method to explore the influence of control strategy factors on vehicle energy consumption. In addition

the method to determine the cost function in terminal constrained dynamic programming is studied

and the deep global optimization is realized based on this method. The results show that

from the configuration point of view

the presence or absence of super capacitors has little effect on the economy of the vehicle

but FC+B configuration has better economy than FC+B+C configuration. From the microeconomic point of view

quantitative analysis of different factors affecting hydrogen consumption reveals the importance of each factor on vehicle economy. From the control strategy optimization point of view

the power following control strategy can better play the vehicle economy. The deep energy-saving analysis of fuel cell vehicles from different perspectives reveals an effective way to improve the vehicle economy

and also provides an effective theoretical basis for the selection of configuration and components and the formulation of control strategy.