Hydrogen fuel cell system operation performance optimization system

Abstract

The invention relates to the technical field of hydrogen fuel cell system operation performance optimization, and discloses a hydrogen fuel cell system operation performance optimization system which comprises a data collection module, a data analysis and calculation module, a performance optimization scheduling module and a fault early warning module. The data collection module comprises a historical electric pile fault data collection unit and an electric pile data collection unit, the data analysis and calculation module comprises an electric pile temperature data analysis unit and an electric pile output power calculation unit, and the fault early warning module carries out fault early warning on a temperature analysis result and an output power analysis result sent by the data analysis and calculation module. And outputting whether early warning is performed or not. According to the system, after the temperature difference value and the comprehensive difference value of the electric piles are judged, the electric piles which can be normally dispatched are screened out for electric energy dispatching, and the weight value of the output power of each electric pile is determined based on the difference index of each electric pile; therefore, the multi-stack power distribution of the hydrogen fuel cell system under different working conditions of each stack is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrogen fuel cell system operating performance optimization, and in particular to a hydrogen fuel cell system operating performance optimization system. Background Art

[0002] Hydrogen fuel cells are power generation devices that directly convert the chemical energy of hydrogen and oxygen into electrical energy. Since the product of the chemical reaction is water, which is environmentally friendly, hydrogen fuel cells are receiving more and more attention.

[0003] In the prior art CN 114695927 A, a control method for a hydrogen fuel cell system, a hydrogen fuel cell system and a vehicle are disclosed. The control method includes: receiving a power demand signal; obtaining a target air flow rate of the fuel cell stack according to the power demand; obtaining a first target speed of the air compressor according to the target air flow rate, and controlling the air compressor to operate at the first target speed; measuring the air pressure in the fuel cell stack, and obtaining a target hydrogen pressure according to the measured air pressure; obtaining a second target speed of the hydrogen circulation pump according to the target hydrogen pressure, and controlling the hydrogen circulation pump to operate at the second target speed. In this way, the first target speed for controlling the operation of the air compressor and the second target speed for controlling the operation of the hydrogen circulation pump can be obtained according to the power demand, thereby, the target air flow rate and the target hydrogen flow rate can be introduced into the fuel cell stack, and then the fuel cell stack can output the required power. The control method of the present invention is simple and easy to implement, and can facilitate the fuel cell stack to output the required power and realize the automation of the hydrogen fuel cell system.

[0004] However, the prior art does not take into account the impact of different battery life of a single stack on the scheduling situation in the multi-stack power scheduling of a hydrogen fuel cell system. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the deficiencies in the prior art, the present invention provides a hydrogen fuel cell system operating performance optimization system, which has the advantages of scheduling during the operation of the hydrogen fuel cell system and solves the above-mentioned technical problems.

[0007] (II) Technical solution

[0008] To achieve the above-mentioned object, the present invention provides the following technical solutions: a hydrogen fuel cell system operation performance optimization system, comprising a data collection module, a data analysis and calculation module, a performance optimization scheduling module and a fault warning module;

[0009] The data collection module includes a historical stack failure data collection unit and a stack data collection unit. The historical stack failure data collection unit is used to collect historical stack failure data during the operation of the historical hydrogen fuel cell. The historical stack failure data includes the stack temperature and the ambient temperature when the stack fails. The stack data collection unit is used to collect stack data of each stack in the hydrogen fuel cell system. The stack data includes the output power, stack temperature and remaining life of the stack. The data collection module sends the collected environmental data and stack data to the data analysis and calculation module for analysis.

[0010] The data analysis and calculation module includes a stack temperature data analysis unit and a stack output power calculation unit. The stack temperature data analysis unit is used to analyze and calculate the temperature data of the stack and obtain a temperature analysis result. The temperature analysis result includes a stack temperature difference ΔT. j And the comprehensive difference ΔCZT j The stack temperature data analysis unit sends the temperature analysis result to the fault warning module for early warning. The stack output power calculation unit is used to analyze and calculate the output power data of the stack and obtain the output power analysis result. The power analysis result includes the deviation value of the output power of the jth stack. The stack output power calculation unit sends the output power analysis result to the fault warning module for judgment;

[0011] The fault warning module performs fault warning on the temperature analysis results and output power analysis results sent by the data analysis and calculation module, and outputs whether to issue a warning;

[0012] The performance optimization scheduling module performs performance optimization scheduling based on the safety level in the fault warning module and the output power and remaining life of each battery stack in the data analysis and calculation module.

[0013] As a preferred technical solution of the present invention, the specific expression of the historical stack failure data is as follows:

[0014]

[0015] Among them, LS represents the historical stack failure data set, LSDDWD 1 ,…,LSDDWD i ,…,LSDDWD n They represent the first historical fault stack temperature, ..., the i-th historical fault stack temperature, ..., the n-th historical fault stack temperature, LSHJWD 1 、…、LSHJWD i 、…、LSHJWD nThey represent the first historical fault environment temperature, ..., the i-th historical fault environment temperature, ..., the n-th historical fault environment temperature respectively;

[0016] The specific expression of the battery stack data is as follows:

[0017] DiD=[DD 1 ,…,DD j ,…,DD m ]

[0018] DD j =P j ,T j ,ST j ]

[0019] Among them, DiD represents the battery stack data set, DD 1 ,…,DD j ,…,DD m Respectively represent the first battery stack data, ..., j-th battery stack data, ..., m-th battery stack data, P j ,T j ,ST j ,SY j They respectively represent the output power, stack temperature and remaining life of the j-th battery stack.

[0020] As a preferred technical solution of the present invention, the expression for calculating and analyzing by the stack temperature data analysis unit is as follows:

[0021]

[0022] Among them, T j Indicates the stack temperature of the jth stack, LSDDWD i Indicates the temperature of the stack with the i-th historical fault, ΔT j Indicates the stack temperature difference, min{LSDDWD 1 ,…,LSDDWD i ,…,LSDDWD n} represents the minimum value of the historical fault stack temperature, Indicates the sum of n data.

[0023] As a preferred technical solution of the present invention, the expression for calculating and analyzing by the stack temperature data analysis unit is as follows:

[0024]

[0025] Among them, T j Indicates the stack temperature of the jth stack, WD j Indicates the current ambient temperature. Indicates the sum of n data, f(LSDDWD i -LSHJWD i ) represents the judgment function, α represents f(LSDDWD i -LSHJWD i )=0 total times, ΔCZT j Indicates the comprehensive difference.

[0026] As a preferred technical solution of the present invention, the specific expression of the judgment function is as follows:

[0027]

[0028] Among them, LSHJWD i Indicates the ambient temperature of the i-th historical fault, LSDDWD i Represents the temperature of the stack with the i-th historical fault.

[0029] As a preferred technical solution of the present invention, the calculation expression for the output power analysis result calculated by the stack output power calculation unit is as follows:

[0030]

[0031] Among them, P 0 Indicates the rated output power of the battery stack, P j represents the output power of the jth battery stack, Represents the deviation value of the output power of the j-th fuel cell stack.

[0032] As a preferred technical solution of the present invention, the process of the fault warning module giving an early warning on the temperature analysis result is as follows:

[0033] A1. Comprehensive difference ΔCZT j Make a judgment, if the comprehensive difference ΔCZT j >0, then execute step A2 if the comprehensive difference ΔCZT j ≤0, then terminate the judgment;

[0034] A2. Temperature difference ΔT for the stack j To judge, if the stack temperature difference ΔT j >0, an early warning is issued, and the circuit of the jth battery stack is cut off, and an early warning is issued until all battery stacks are judged. If the temperature difference of the battery stack ΔT j ≤0, then terminate the judgment.

[0035] As a preferred technical solution of the present invention, the steps of analyzing the deviation value of the output power of the fuel cell stack by the fault warning module are as follows:

[0036] B1. Determine the deviation value of the output power of the jth battery stack Whether the constraint is satisfied: If the condition is satisfied, the judgment is terminated. If the condition is not satisfied, step B2 is executed, wherein: Indicates the maximum deviation of the output power, Indicates the absolute value of the output power deviation;

[0037] B2. Mark the jth battery stack and set the ST j The data is sent to maintenance personnel.

[0038] As a preferred technical solution of the present invention, the expression of the performance optimization scheduling module in performing optimization scheduling is as follows:

[0039] E t,XQ -E t =w 1 P t,1 +…+w k P t,k +…+w K P t,K

[0040] Where K means there are K stacks participating in the scheduling, and K≤m, and w k represents the weight of the kth battery stack, E t,XQ Indicates the current required power value, E t Indicates the current output power value, P t,1 ,…,P t,k ,…,P t,K They respectively represent the 1st battery stack output power, …, the kth battery stack output power, …, the Kth battery stack output power at the current moment.

[0041] As a preferred technical solution of the present invention, the expression of the weight of the k-th battery stack is as follows:

[0042]

[0043] Among them, w k Indicates the weight of the kth battery stack, ST j Indicates the remaining life of the jth battery stack, ST k Indicates the remaining life of the kth battery stack.

[0044] Compared with the prior art, the present invention provides a hydrogen fuel cell system operating performance optimization system, which has the following beneficial effects:

[0045] 1. The present invention selects the fuel cell stacks that can be normally scheduled for electric energy scheduling after judging the temperature difference and comprehensive difference of the fuel cell stacks, and determines the weight value of the output power of each fuel cell stack based on the difference index of each fuel cell stack, thereby ensuring the multi-stack power distribution of the hydrogen fuel cell system under different working conditions of each fuel cell stack.

[0046] 2. The present invention timely analyzes and judges the working condition of the fuel cell stack by the fuel cell stack temperature difference, comprehensive difference and output power deviation, thereby ensuring the power tracking control of the hydrogen fuel cell system to ensure stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 Schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] See also Figure 1 , a hydrogen fuel cell system operation performance optimization system, including a data collection module, a data analysis and calculation module, a performance optimization scheduling module and a fault warning module;

[0050] The data collection module includes a historical stack failure data collection unit and a stack data collection unit. The historical stack failure data collection unit is used to collect historical stack failure data during the operation of the historical hydrogen fuel cell. The historical stack failure data includes the stack temperature and the ambient temperature when the stack fails. The stack data collection unit is used to collect the stack data of each stack in the hydrogen fuel cell system. The stack data includes the output power, stack temperature and remaining life of the stack.

[0051] The specific expression of historical battery stack failure data is as follows:

[0052]

[0053] Among them, LS represents the historical stack failure data set, LSDDWD 1 ,…,LSDDWD i ,…,LSDDWD n They represent the first historical fault stack temperature, ..., the i-th historical fault stack temperature, ..., the n-th historical fault stack temperature, LSHJWD 1 、…、LSHJWD i、…、LSHJWD n They represent the first historical fault environment temperature, ..., the i-th historical fault environment temperature, ..., the n-th historical fault environment temperature respectively;

[0054] The specific expression of the battery stack data is as follows:

[0055] DiD=[DD 1 ,…,DD j ,…,DD m ]

[0056] DD j =P j ,T j ,ST j ]

[0057] Among them, DiD represents the battery stack data set, DD 1 ,…,DD j ,…,DD m Respectively represent the first battery stack data, ..., j-th battery stack data, ..., m-th battery stack data, P j ,T j ,ST j ,SY j They represent the output power, stack temperature and remaining life of the jth battery stack respectively. The data collection module sends the collected environmental data and battery stack data to the data analysis and calculation module for analysis;

[0058] The data analysis and calculation module includes a stack temperature data analysis unit and a stack output power calculation unit. The stack temperature data analysis unit is used to analyze and calculate the temperature data of the stack and obtain the temperature analysis results. The temperature analysis results include the stack temperature difference. and the comprehensive difference The stack temperature data analysis unit sends the temperature analysis results to the fault warning module for early warning. The stack output power calculation unit is used to analyze and calculate the output power data of the stack and obtain the output power analysis results. The power analysis results include the deviation value of the output power of the jth stack. The stack output power calculation unit sends the output power analysis result to the fault warning module for judgment;

[0059] Among them, T j Indicates the stack temperature of the jth stack, LSDDWD i Indicates the temperature of the stack with the i-th historical fault, ΔT j Indicates the stack temperature difference, min{LSDDWD 1 ,…,LSDDWD i ,…,LSDDWD n} represents the minimum value of the historical fault stack temperature, Indicates the sum of n data, T j Indicates the stack temperature of the jth stack, WD j Indicates the current ambient temperature, f(LSDDWD i -LSHJWD i ) represents the judgment function, α represents f(LSDDWD i -LSHJWD i )=0 total times, ΔCZT j Represents the comprehensive difference, and the specific expression of the judgment function is as follows:

[0060]

[0061] Among them, LSHJWD i Indicates the ambient temperature of the i-th historical fault, LSDDWD i Represents the temperature of the i-th historical fault stack. The judgment function here is used to avoid misjudgment and ensure that the temperature at the stack is moderately greater than the ambient temperature, so as to ensure that the difference between the ambient temperature and the stack temperature is calculated when a fault occurs.

[0062] The fault warning module issues a fault warning to the temperature analysis results and output power analysis results sent by the data analysis and calculation module, and outputs whether to issue a warning. The process of the fault warning module issuing a warning to the temperature analysis results is to calculate the comprehensive difference ΔCZT j Make a judgment, if the comprehensive difference ΔCZT j >0, then the stack temperature difference ΔT j To judge, if the stack temperature difference ΔT j >0, an early warning is issued, and the circuit of the jth battery stack is cut off, and an early warning is issued until all battery stacks are judged. If the temperature difference of the battery stack ΔT j ≤0, then terminate the judgment. If the comprehensive difference ΔCZT j ≤0, the judgment is terminated, and the fault warning module analyzes the deviation value of the output power of the battery stack as follows: Determine the deviation value of the output power of the jth battery stack Whether the constraint is satisfied: If the condition is satisfied, the judgment is terminated. If not, the jth battery stack is marked and the ST value of the corresponding battery stack is marked. j The data is sent to maintenance personnel, based on which a hydrogen fuel cell system power tracking control is proposed to ensure stable operation of the system. For more serious problems, the circuit is cut off and an early warning is issued at the same time. Indicates the maximum deviation of the output power, Indicates the absolute value of the output power deviation;

[0063] The performance optimization scheduling module performs performance optimization scheduling based on the safety level in the fault warning module and the output power and remaining life of each battery stack in the data analysis and calculation module. The expression of the performance optimization scheduling module in optimizing scheduling is as follows:

[0064] E t,XQ -E t =w 1 P t,1 +…+w k P t,k +…+w K P t,K

[0065] The constraint expression of this formula is as follows:

[0066] P t,k <P 0

[0067] P t,k -P j→k >0

[0068] P j→k Indicates the power value of the jth battery pack in the original m battery pack data corresponding to the kth battery pack. The difference here indicates that when scheduling is required, the output power increases on the original basis, and E t,XQ -E t It represents the difference between the demand value and the current output value in case of burst scheduling;

[0069] Where K means there are K stacks participating in the scheduling, and K≤m, and w k represents the weight of the kth battery stack, E t,XQ Indicates the current required power value, E t Indicates the current output power value, P t,1 ,…,P t,k ,…,P t,K They represent the output power of the first battery stack at the current moment, ..., the output power of the k-th battery stack, ..., the output power of the K-th battery stack, and the weight of the k-th battery stack is expressed as follows:

[0070]

[0071] Among them, w k Indicates the weight of the kth battery stack, ST j Indicates the remaining life of the jth battery stack, ST k It represents the remaining life of the kth fuel cell stack, and determines the weight value of the output power of each fuel cell stack based on the difference index of each fuel cell stack, thereby ensuring the multi-stack power distribution of the hydrogen fuel cell system under different working conditions of each fuel cell stack.

[0072] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A hydrogen fuel cell system operating performance optimization system, characterized in that: It includes data collection module, data analysis and calculation module, performance optimization and scheduling module and fault warning module; The data collection module includes a historical stack failure data collection unit and a stack data collection unit. The historical stack failure data collection unit is used to collect historical stack failure data during the operation of the historical hydrogen fuel cell. The historical stack failure data includes the stack temperature and the ambient temperature when the stack fails. The stack data collection unit is used to collect stack data of each stack in the hydrogen fuel cell system. The stack data includes the output power, stack temperature and remaining life of the stack. The data collection module sends the collected environmental data and stack data to the data analysis and calculation module for analysis. The data analysis and calculation module includes a stack temperature data analysis unit and a stack output power calculation unit. The stack temperature data analysis unit is used to analyze and calculate the temperature data of the stack and obtain a temperature analysis result. The temperature analysis result includes a stack temperature difference ΔT. j And the comprehensive difference ΔCZT j The stack temperature data analysis unit sends the temperature analysis result to the fault warning module for early warning. The stack output power calculation unit is used to analyze and calculate the output power data of the stack and obtain the output power analysis result. The power analysis result includes the deviation value of the output power of the jth stack. The stack output power calculation unit sends the output power analysis result to the fault warning module for judgment; The fault warning module performs fault warning on the temperature analysis results and output power analysis results sent by the data analysis and calculation module, and outputs whether to issue a warning; The performance optimization scheduling module performs performance optimization scheduling based on the safety level in the fault warning module and the output power and remaining life of each battery stack in the data analysis and calculation module.

2. A hydrogen fuel cell system operating performance optimization system according to claim 1, characterized in that: The specific expression of the historical stack failure data is as follows: Among them, LS represents the historical battery stack failure data set, LSDDWD1, ..., LSDDWD i ,…,LSDDWD n LSHJWD1, ..., LSHJWD2 represent the first historical fault stack temperature, ..., the i-th historical fault stack temperature, ..., the n-th historical fault stack temperature, LSHJWD1, ..., LSHJWD i 、…、LSHJWD n They represent the first historical fault environment temperature, ..., the i-th historical fault environment temperature, ..., the n-th historical fault environment temperature respectively; The specific expression of the battery stack data is as follows: DiD=[DD1,…,DD j ,…,DD m ] DD j =[P j ,T j ,ST j ] Where DiD represents the battery stack data set, DD1,…,DD j ,…,DD m Respectively represent the first battery stack data, ..., j-th battery stack data, ..., m-th battery stack data, P j ,T j ,ST j ,SY j They respectively represent the output power, stack temperature and remaining life of the j-th battery stack.

3. A hydrogen fuel cell system operating performance optimization system according to claim 2, characterized in that: The expression for calculation and analysis performed by the stack temperature data analysis unit is as follows: Among them, T j Indicates the stack temperature of the jth stack, LSDDWD i Indicates the temperature of the stack with the i-th historical fault, ΔT j Indicates the stack temperature difference, min{LSDDWD1,…,LSDDWD i ,…,LSDDWD n } represents the minimum value of the historical fault stack temperature, Indicates the sum of n data.

4. A hydrogen fuel cell system operating performance optimization system according to claim 2, characterized in that: The expression for calculation and analysis performed by the stack temperature data analysis unit is as follows: Among them, T j Indicates the stack temperature of the jth stack, WD j Indicates the current ambient temperature. Indicates the sum of n data, f(LSDDWD i -LSHJWD i ) represents the judgment function, α represents f(LSDDWD i -LSHJWD i )=0 total times, ΔCZT j Indicates the comprehensive difference.

5. A hydrogen fuel cell system operating performance optimization system according to claim 4, characterized in that: The specific expression of the judgment function is as follows: Among them, LSHJWD i Indicates the ambient temperature of the i-th historical fault, LSDDWD i Represents the temperature of the stack with the i-th historical fault.

6. A hydrogen fuel cell system operating performance optimization system according to claim 4, characterized in that: The calculation expression of the output power analysis result calculated by the stack output power calculation unit is as follows: Among them, P0 represents the rated output power of the battery stack, P j represents the output power of the jth battery stack, Represents the deviation value of the output power of the j-th fuel cell stack.

7. A hydrogen fuel cell system operating performance optimization system according to claim 2, characterized in that: The process of the fault warning module giving an early warning on the temperature analysis result is as follows: A1. Comprehensive difference ΔCZT j Make a judgment, if the comprehensive difference ΔCZT j >0, then execute step A2. If the comprehensive difference ΔCZT j ≤0, then terminate the judgment; A2. Temperature difference ΔT for the stack j To judge, if the stack temperature difference ΔT j >0, an early warning is issued, and the circuit of the jth battery stack is cut off, and an early warning is issued until all battery stacks are judged. If the temperature difference of the battery stack ΔT j ≤0, then terminate the judgment.

8. A hydrogen fuel cell system operating performance optimization system according to claim 2, characterized in that: The steps of analyzing the deviation value of the output power of the battery stack by the fault warning module are as follows: B1. Determine the deviation value of the output power of the jth battery stack Whether the constraint is satisfied: If the condition is satisfied, the judgment is terminated. If the condition is not satisfied, step B2 is executed, wherein: Indicates the maximum deviation of the output power, Indicates the absolute value of the output power deviation; B2. Mark the jth battery stack and set the ST j The data is sent to maintenance personnel.

9. A hydrogen fuel cell system operating performance optimization system according to claim 7, characterized in that: The expression of the performance optimization scheduling module in optimizing scheduling is as follows: E t,XQ -E t =w1P t,1 +…+in k P t,k +…+in K P t,K Where K means there are K stacks participating in the scheduling, and K≤m, and w k represents the weight of the kth battery stack, E t,XQ Indicates the current required power value, E t Indicates the current output power value, P t,1 ,…,P t,k ,…,P t,K They respectively represent the 1st battery stack output power, …, the kth battery stack output power, …, the Kth battery stack output power at the current moment.

10. A hydrogen fuel cell system operating performance optimization system according to claim 9, characterized in that: The expression of the weight of the kth battery stack is as follows: Among them, w k Indicates the weight of the kth battery stack, ST j Indicates the remaining life of the jth battery stack, ST k Indicates the remaining life of the kth battery stack.

Images