CN-117068000-B - Fuel cell multi-module composite power supply power control method and system

CN117068000BCN 117068000 BCN117068000 BCN 117068000BCN-117068000-B

Abstract

The invention relates to the technical field of fuel cells, in particular to a fuel cell multi-module composite power control method and a system. The scheme comprises the steps of setting a fuel cell sensing information base and corresponding key constraint parameters on line, determining mandatory constraint and conditional constraint according to control parameters of the key constraint parameters before instability, forming a standard constraint set and a nonstandard constraint set, performing self-adaptive control in real time according to a control target of a current composite power supply and combining the standard constraint set and the nonstandard constraint set, controlling an operation constraint range of each control quantity in real time according to the range of the standard constraint set, and automatically updating the standard constraint set and the nonstandard constraint set to perform self-adaptive control when the control target substandard rate reaches 5% and lasts for more than 5 minutes. According to the scheme, multiple information quantities such as the temperature, the air flow and the air pressure of the electric pile are extracted on line, multi-module compound control is performed, and optimal energy and stable control are achieved.

Inventors

NING TAO
HU GUOCHANG
DING JIANQIAO
CAO SHIHONG
WANG XIAN
ZHANG YU

Assignees

中国人民解放军32181部队

Dates

Publication Date: 20260505
Application Date: 20230822

Claims (6)

1. A fuel cell multi-module composite power control method, the method comprising: setting a fuel cell sensing information base and corresponding key constraint parameters on line; The method comprises the steps of obtaining control parameters of key constraint parameters before destabilization, setting the forced constraint, setting the conditional constraint, wherein the forced constraint corresponds to a control parameter change range before destabilization, and the forced constraint comprises a corresponding change range of hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature, and setting the conditional constraint corresponds to a control parameter change range before destabilization with a certain probability, wherein the certain probability is more than 0, and the forced constraint comprises a corresponding change range of hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature; The method specifically comprises the steps of analyzing the outlet pressure of a hydrogen cylinder, the outlet temperature of the hydrogen cylinder, the hydrogen concentration, the cooling inlet pressure, the anode inlet pressure, the cathode inlet pressure and the cooling water temperature on line, judging that all 7 on-line analysis data sets do not exceed the mandatory constraint, starting initialization analysis when the 7 on-line analysis data sets exist within the range of the conditional constraint, numbering the outlet pressure of the hydrogen cylinder, the outlet temperature of the hydrogen cylinder, the hydrogen concentration, the cooling inlet pressure, the anode inlet pressure and the cathode inlet pressure and the cooling water temperature in the 7 on-line analysis data sets after the initialization analysis is started, sequentially corresponding to 1, 2,3, 4,5, 6 and 7, sequentially non-repeatedly selecting three data sets of 1, 2,3, 4,5, 6 and 7 as the standard constraint set, and taking the remaining four data sets as the non-standard set; The method comprises the steps of obtaining an output target of a fuel cell in a control target of a current composite power supply, selecting corresponding hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature according to the output target, setting constraint conditions of corresponding 3 data sets to not comprise conditional constraint when the given control of the non-standard set is adjusted, and setting constraint conditions of corresponding 4 data sets to comprise conditional constraint when the given control of the standard set is performed; The control method comprises the steps of setting a standard constraint set, setting a control parameter corresponding to the standard constraint set, and controlling the operation constraint range of each control quantity in real time according to the range of the standard constraint set, wherein the control parameter is used as a priority according to the sequence of numbers in each standard constraint set from front to back; And when the control target failure rate reaches 5% and lasts for more than 5 minutes, automatically updating the standard constraint set and the nonstandard constraint set again to perform self-adaptive control.
2. The method for controlling power of a fuel cell multi-module composite power supply according to claim 1, wherein the online setting of the fuel cell sensing information base and the corresponding key constraint parameters specifically comprises: setting a fuel cell sensing information base on line for initialization; the fuel cell sensing information base comprises sensors for placing a humidifier, an intercooler, a pile cooler, a pile electrode temperature and a throttle inlet pressure; The outlet pressure of the hydrogen cylinder, the outlet temperature of the hydrogen cylinder, the hydrogen concentration, the cooling inlet pressure, the anode inlet pressure, the cathode inlet pressure and the cooling water temperature are taken as key constraint parameters.
3. The method for controlling power of a fuel cell multi-module composite power supply according to claim 1, wherein when the control target failure rate reaches 5% and lasts for more than 5 minutes, the method automatically performs self-adaptive control by updating the standard constraint set and the non-standard constraint set, and specifically comprises the following steps: When the control target failure rate of the composite power supply reaches 5% and lasts for more than 5 minutes, automatically and randomly screening the standard constraint set and the nonstandard constraint set again; And after the standard constraint set and the non-standard constraint set are obtained, automatically performing new optimal control until the control target of the composite power supply runs for a long time at the control target standard reaching rate of 95% or more.
4. A fuel cell multi-module composite power control system for implementing the method of any one of claims 1-3, the system comprising: the information collection library module is used for setting a fuel cell sensing information library and corresponding key constraint parameters on line; the stability constraint analysis module is used for determining mandatory constraint and conditional constraint according to the control parameters of the key constraint parameters before destabilization; The self-adaptive adjustment initialization module is used for forming a standard constraint set and a non-standard constraint set according to the mandatory constraint and the conditional constraint; The load power control module is used for carrying out self-adaptive control according to the control target of the current composite power supply and combining the standard constraint set and the nonstandard constraint set; The condition constraint module is used for controlling the operation constraint range of each control quantity in real time according to the range of the standard constraint set; and the updating constraint module is used for automatically updating the standard constraint set and the nonstandard constraint set again to carry out self-adaptive control when the control target failure rate reaches 5% and lasts for more than 5 minutes.
5. A computer readable storage medium, on which computer program instructions are stored, which computer program instructions, when executed by a processor, implement the method of any of claims 1-3.
6. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method of any of claims 1-3.

Description

Fuel cell multi-module composite power supply power control method and system Technical Field The invention relates to the technical field of fuel cells, in particular to a fuel cell multi-module composite power control method and a system. Background With the continuous investment of research in the field of hydrogen fuel cells, technology is also advancing continuously. The fuel cell power system converts chemical energy into electric energy through catalytic oxidation reaction of hydrogen and oxygen, can be used as a power generation source to generate water without any pollution, and is an ultimate solution for clean power generation in the future. The new energy power generation technology using hydrogen as fuel has the characteristics of cleanness and high efficiency, and the power generation process of the fuel cell is quite quiet, has no black smoke and no pungent smell, and only clean air and water are discharged from the tail gas pipe of the vehicle, and the discharged water can be directly drunk. Compared with the traditional diesel power supply vehicle, the lithium ion battery power supply vehicle has the advantages of being quiet, clean, environment-friendly and the like, and has the advantages of being long in power supply time, short in emergency response time, long in storage time and the like. Before the technology of the invention, the fuel cell comprises modules such as a galvanic pile, a water pump and a radiator, and the like, and the water pump and the radiator based on the PHD are controlled by collecting the temperature information of the galvanic pile to realize stable control, so that the fuel cell stably operates, but as the fuel cell has a plurality of modules in the operation process, the stable control of the load module is extremely difficult, and the situation that the optimal control parameter cannot be achieved all the time may exist. Disclosure of Invention In view of the above problems, the invention provides a power control method and a system for a fuel cell multi-module composite power supply, which are used for carrying out multi-module composite control by extracting various information amounts such as stack temperature, air flow, air pressure and the like on line so as to realize optimal energy and stable control. According to a first aspect of an embodiment of the present invention, a fuel cell multi-module composite power control method is provided. In one or more embodiments, preferably, the fuel cell multi-module composite power control method includes: setting a fuel cell sensing information base and corresponding key constraint parameters on line; Determining mandatory constraints and conditional constraints according to the control parameters of the key constraint parameters before destabilization; forming a standard constraint set and a non-standard constraint set according to the mandatory constraint and the conditional constraint; performing self-adaptive control according to a control target of the current composite power supply and combining a standard constraint set and a non-standard constraint set; Controlling the operation constraint range of each control quantity in real time according to the range of the standard constraint set; And when the control target failure rate reaches 5% and lasts for more than 5 minutes, automatically updating the standard constraint set and the nonstandard constraint set again to perform self-adaptive control. In one or more embodiments, preferably, the setting the fuel cell sensing information base and the corresponding key constraint parameters online specifically includes: setting a fuel cell sensing information base on line for initialization; the fuel cell sensing information base comprises sensors for placing a humidifier, an intercooler, a pile cooler, a pile electrode temperature and a throttle inlet pressure; The outlet pressure of the hydrogen cylinder, the outlet temperature of the hydrogen cylinder, the hydrogen concentration, the cooling inlet pressure, the anode inlet pressure, the cathode inlet pressure and the cooling water temperature are taken as key constraint parameters. In one or more embodiments, preferably, the determining the mandatory constraint and the conditional constraint according to the control parameter of the key constraint parameter before destabilizing specifically includes: acquiring control parameters of the key constraint parameters before destabilization; setting a mandatory constraint, wherein the mandatory constraint corresponds to a control parameter change range before instability is certain, and specifically comprises a corresponding change range of hydrogen cylinder outlet pressure, hydrogen cylinder outlet temperature, hydrogen concentration, cooling inlet pressure, anode inlet pressure, cathode inlet pressure and cooling water temperature; Setting conditional constraints, wherein the conditional constraints correspond to the control parameter change range before destabilizat