Development Of Fuel Cell Heavy-duty Truck Vehicle Control System

With the proposal of China’s "dual carbon" strategy goals,automobiles,as one of the main sources of carbon emissions in China,need to be further developed towards a green and lowcarbon direction.Fuel cells have characteristics such as zero emissions and high efficiency.With the popularization of environmental awareness and the development of fuel cell technology,fuel cell heavy-duty trucks have attracted widespread attention in the field of transportation.This paper focuses on the research of the whole vehicle control system of fuel cell heavy-duty trucks,aiming to improve the intelligent level of fuel cell heavy trucks,increase vehicle driving range,reduce hydrogen consumption,and improve vehicle economy.This paper had conducted research on fuel cell heavy-duty trucks.Aiming at the vehicle controller and each control unit,the CAN communication network topology of the fuel cell heavy-duty truck was designed,the CAN communication protocol of the vehicle was formulated,and the simulation verification of the network load rate was completed.The hardware resources of the fuel cell heavy-duty truck controller were analyzed,and Infineon’s TC275 was selected as the main control chip.The hardware schematic of the controller was completed,as well as the Printed Circuit Board(PCB)design.The controller’s hardware was soldered and functional testing was performed.The application layer model of the vehicle controller was built in MATLAB/Simulink.A rule-based fuel cell energy management strategy was designed,and to explore the effect of different energy management strategies on the vehicle’s economy,a fuzzy control algorithmbased energy management strategy was designed.The membership functions of the designed fuzzy controller were optimized using particle swarm optimization.A vehicle simulation model was built in CRUISE software to simulate the control effect of the energy management strategy.The results showed that the equivalent hydrogen consumption of the energy management strategy optimized based on the particle swarm optimization was reduced by 1.31% compared to before optimization and 2.53% compared to the power-following energy management strategy.The application layer model of the vehicle control strategy was built,and embedded C code was generated.The lower-level drive code was written in Hig Htec software and integrated with the application layer program.By analyzing the functional requirements of the fuel cell heavy-duty truck remote upgrade system,the design and development of remote upgrade functions were completed,including the implementation of 4G module network communication,the formulation of remote communication protocol based on Transmission Control Protocol/Internet Protocol(TCP/IP),the implementation of data encryption algorithm,the implementation of network layer and transmission layer structure of UDS(Unified Diagnostic Services)protocol,and the Boot Loader program design based on UDS protocol using Python.A laboratory test platform was built to test the remote upgrade system for fuel cell heavy trucks,and a hardware-in-the-loop test platform was built to conduct hardware-in-the-loop tests on the vehicle controller of fuel cell heavy trucks.The test results showed that the developed controller can meet the functional requirements and achieve the design purpose.