Fuel cell engine main controller based on ARM9 and MPC56x

With the increasing demand for clean energy, fuel cell engines and their applications in automotive power systems are becoming increasingly important. Fuel cells directly convert isothermal chemical energy into electrical energy based on electrochemical principles. Since they are not limited by the thermal engine Carnot cycle, the actual energy conversion rate of various types of fuel cells can reach 40% to 60%; fuel cells are environmentally friendly, work quietly, and have very low noise. The fuel cell engine consists of several parts, including an air system, a hydrogen system, a water heat management system, a humidification system, and a stack. Its structure is shown in Figure 1.

1 Distributed fuel cell engine control system

In response to the above requirements of fuel cell engines, Tsinghua University and Dalian Institute of Chemical Physics have cooperated to develop a distributed fuel cell control system. The entire system is centered on the fuel cell engine main controller and includes two independent control subsystems of the engine. Each engine control system includes a stack controller node, a humidification controller node, a fan controller node, and four single-chip voltage measurement nodes. Together with the main controller of the fuel cell engine, the entire control system includes a total of 15 controller nodes. These controllers are centered on the main controller to form the vehicle power system time-triggered controller area network (TTCAN) communication protocol.

2 Design of the main controller based on ARM+MPC561 dual-chip microcomputer

2.1 Controller hardware framework

The hardware framework of the controller is shown in Figure 2. The controller adopts the dual-core processor mode of MPC56x and AT91SAM9261S single-chip microcomputer, in which the underlying IO driver uses the MPC56x single-chip microcomputer, and the control algorithm uses the ARM9 single-chip microcomputer. The advantages of using the ARM9 single-chip microcomputer for the control algorithm are:

(1) ARM has a high main frequency and fast computing speed. The maximum main frequency can reach 190 MHz and the computing speed can reach 210 MIPS, which is much higher than the 56 MHz of MPC56x.

(2) It can be equipped with a large memory and has a rich memory expansion interface. It can not only achieve the same SRAM expansion as MPC56x, but also has a dedicated SDRAM management module, which can be used for SDRAM expansion. Its capacity can easily reach more than 100 MB.

(3) Rich peripheral interfaces, USB2.0 full-speed host dual ports and device ports, can achieve high-speed data transmission with the host computer, ensuring efficient and reliable upload and download of data;

(4) Low price, AT91SAM9261S retail price is only 63 yuan, small batch price is only 6 US dollars, while MPC561 retail price is as high as 40 US dollars, which is very competitive in price.

The advantages of MPC56x are: it has a wealth of peripheral modules, such as TPU3, QADC, QSM, CAN, MIOS and SPI interfaces, etc., which can directly interface various underlying signals. Therefore, combining MPC56x with ARM can ensure that the controller has both powerful control algorithms (floating-point computing capabilities) and powerful underlying real-time driving capabilities.

2.2 ARM-based control algorithm development method

The control algorithm framework of the fuel cell engine is shown in Figure 3. The entire upper-level control algorithm can be decomposed into two layers: input and output signal interface and control algorithm logic itself. The input and output signal interface (bottom-level drive signal) runs in MPC56x, while the control algorithm logic runs directly in ARM, and the two realize information exchange through the CAN bus.

The upper control algorithm can be developed directly using the Real Time Workshop toolbox in MATLAB/SIMULINK. MATLAB is an algorithm development tool developed by Mathwork that supports ARM9 algorithm simulation debugging and automatic code generation. It is an engineering algorithm development platform widely recognized by academia and industry. The Simulink component under it has powerful algorithm simulation debugging functions; the Stateflow module provides intuitive and reliable logic analysis/state machine; the Real-time Workshop module supports automatic code generation, and can automatically generate C code that supports the ARM9 digital core from the block diagram model after simulation test.

2.3 Controller test

For the dual digital core fuel cell main controller of AT91SAM9261S+MPC561, the CAN Case network communication hardware tool and CANalyzer software of Vector Company are used in the laboratory to simulate the underlying controller of the vehicle TTCAN network and fuel cell control system, and experimental data are collected to simulate the dual digital core fuel cell main controller. The controller test photo is shown in Figure 4.

Through actual tests, it is verified that the fuel cell main controller using the dual digital core architecture of MPC+ARM is much faster than the controller using a single MPC561 digital core when running the same control algorithm. There is no problem in the CAN communication between MPC and ARM, and it can be applied to actual vehicle operation. The advantage of this superimposed controller is that when the algorithm is more complex, the dual-core controller can be directly used; when the control algorithm is relatively simple, a single MPC56x can meet the requirements of the control system.

(1) In order to meet the control algorithm of complex fuel cell engines or new energy vehicle power systems, this paper proposes the idea of ​​designing a dual-core controller using ARM9 plus MPC56x microcontrollers. The ARM9 with better computing performance is responsible for the control algorithm, while the MPC56x with better driving energy is responsible for input and output drive.

(2) The control algorithm of ARM9 can be implemented in graphical programming in MATLAB/SIMULINK, and then the control code automatic generation technology is used to achieve efficient development of the upper-level control algorithm.

(3) In this example, since the installation interfaces of the ARM9 and MPC56x digital cores are completely consistent, it is possible to decide whether to use only one digital core, MPC56x, or a dual digital core of ARM9+MPC56x according to the complexity of the actual application. It provides a modular research platform for teaching and scientific research, and a unified hardware platform for application systems compatible with various simple and complex control algorithms.