CN115857318A - Temperature control method and device of electrolytic cell and electrolytic hydrogen production system control system - Google Patents

Temperature control method and device of electrolytic cell and electrolytic hydrogen production system control system Download PDF

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CN115857318A
CN115857318A CN202310083746.2A CN202310083746A CN115857318A CN 115857318 A CN115857318 A CN 115857318A CN 202310083746 A CN202310083746 A CN 202310083746A CN 115857318 A CN115857318 A CN 115857318A
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value
temperature
fuzzy
pid
deviation
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张延伟
马淑杰
梅武
赵宇峰
孙流莉
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Changchun Lvdong Hydrogen Energy Technology Co ltd
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Changchun Lvdong Hydrogen Energy Technology Co ltd
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Abstract

The invention discloses a temperature control method and device of an electrolytic cell and a control system of an electrolytic hydrogen production system, and relates to the field of temperature control. Wherein, the method comprises the following steps: determining a preset temperature value and a temperature deviation value; determining a deviation change rate when the temperature deviation value is within a predetermined range; determining a temperature deviation scaling factor, a change rate scaling factor and a PID scaling factor according to the temperature deviation value, the deviation change rate and the scaling factor fuzzy regulator module; determining a PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor and the fuzzy controller module; and determining a target output value according to the PID fuzzy control output value and the PID controller module so as to control the temperature of the electrolytic cell. The invention solves the technical problem of reduction of the performance of the electrolytic cell caused by the phenomena of excessive overshoot of the adjustment temperature, untimely adjustment and the like when the temperature of the electrolytic cell is controlled in the related technology.

Description

Temperature control method and device of electrolytic cell and electrolytic hydrogen production system control system
Technical Field
The invention relates to the field of temperature control, in particular to a temperature control method and device of an electrolytic cell and a control system of an electrolytic hydrogen production system.
Background
At present, the electrolytic hydrogen production system is more and more widely applied in various fields, an electrolytic cell is a device for converting electric energy into chemical energy, a heating phenomenon is accompanied in the conversion process, and the temperature has great influence on the efficiency and energy consumption of the electrolytic cell in the electrolytic hydrogen production system, so that how to ensure the stability of the temperature of the electrolytic cell is crucial to the normal operation of the electrolytic hydrogen production system. In order to improve the efficiency and the service life of the electrolytic cell, the operation temperature of the electrolytic cell needs to be accurately controlled. Due to the uncertainty of wind power and photovoltaic of renewable energy sources, the given power of the electrolytic cell has a large fluctuation range, so that the temperature control of the electrolytic cell is difficult.
Therefore, when the temperature of the electrolytic cell is controlled in the related art, the phenomena of excessive adjustment of the temperature, untimely adjustment and the like exist, and the performance of the electrolytic cell is reduced.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a temperature control method and device of an electrolytic cell and a control system of an electrolytic hydrogen production system, which at least solve the technical problem of reduction of performance of the electrolytic cell caused by the phenomena of excessive temperature adjustment, untimely adjustment and the like when the temperature of the electrolytic cell is controlled in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a temperature control method of an electrolytic cell, including: determining a temperature deviation value between a preset temperature value and a water inlet temperature value of the electrolytic cell; determining a deviation change rate corresponding to the temperature deviation value if the temperature deviation value is less than a first predetermined threshold and greater than a second predetermined threshold; determining a temperature deviation scaling factor corresponding to the temperature deviation value, a change rate scaling factor corresponding to the deviation change rate, and a proportional-integral-derivative (PID) scaling factor according to the temperature deviation value, the deviation change rate, and a scaling factor fuzzy regulator module; determining a PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor and a fuzzy controller module; and determining a target output value for controlling the opening of the preset cooling equipment according to the PID fuzzy control output value and the PID controller module.
Optionally, the method further comprises: determining the opening degree output value of the predetermined cooling device to be a first predetermined value in case the temperature deviation value is greater than the first predetermined threshold value, and/or determining the opening degree output value of the predetermined cooling device to be a second predetermined value in case the temperature deviation value is less than the second predetermined threshold value, wherein the second predetermined value is greater than the first predetermined value.
Optionally, before determining the temperature deviation value between the preset temperature value and the water inlet temperature value of the electrolytic cell, the method further includes: determining power supply parameters corresponding to the electrolytic cell; and determining an initial output value for controlling the opening degree of the preset cooling equipment according to the power supply parameter.
Optionally, the determining, according to the temperature deviation value, the deviation change rate, and the scaling factor fuzzy regulator module, a temperature deviation scaling factor corresponding to the temperature deviation value, a change rate scaling factor corresponding to the deviation change rate, and a PID scaling factor includes: in the telescopic factor fuzzy regulator module, determining a first fuzzy rule table corresponding to temperature deviation, a second fuzzy rule table corresponding to deviation change and a third fuzzy rule table corresponding to PID; in the scaling factor fuzzy regulator module, the temperature deviation scaling factor corresponding to the temperature deviation value is determined according to the first fuzzy rule table, the change rate scaling factor corresponding to the deviation change rate is determined according to the second fuzzy rule table, and the PID scaling factor is determined according to the temperature deviation value, the deviation change rate and the third fuzzy rule table.
Optionally, the determining, according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor, and the fuzzy controller module, a PID fuzzy control output value includes: determining, in the fuzzy controller module, a temperature deviation quantization factor corresponding to the temperature deviation value, a rate of change quantization factor corresponding to the rate of change of deviation, a PID scaling factor, and a fuzzy control rule table; in the fuzzy controller module, determining a first fuzzy domain according to the temperature deviation value, the temperature deviation scaling factor and the temperature deviation quantization factor, and determining a second fuzzy domain according to the deviation change rate, the change rate scaling factor and the change rate quantization factor; and in the fuzzy controller module, determining the PID fuzzy control output value according to the first fuzzy domain, the second fuzzy domain, the PID scaling factor and the fuzzy control rule table.
Optionally, the determining a target output value for controlling the opening degree of the predetermined cooling device according to the PID fuzzy control output value and the PID controller module includes: in the PID controller module, determining the preset value of the PID parameter; and in the PID controller module, determining the target output value for controlling the opening degree of the preset cooling equipment according to the PID fuzzy control output value and the PID parameter preset value.
According to an aspect of an embodiment of the present invention, there is provided a temperature control apparatus of an electrolytic cell, including: the first determining module is used for determining the temperature deviation value between the preset temperature value and the water inlet temperature value of the electrolytic cell; the second determining module is used for determining a deviation change rate corresponding to the temperature deviation value under the condition that the temperature deviation value is smaller than a first preset threshold value and larger than a second preset threshold value; a third determining module, configured to determine a temperature deviation scaling factor corresponding to the temperature deviation value, a change rate scaling factor corresponding to the deviation change rate, and a PID scaling factor according to the temperature deviation value, the deviation change rate, and a scaling factor fuzzy adjuster module; a fourth determining module, configured to determine a PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, and the fuzzy controller module; and the fifth determining module is used for determining a target output value for controlling the opening of the preset cooling equipment according to the PID fuzzy control output value and the PID controller module.
According to an aspect of an embodiment of the present invention, there is provided an electrolytic hydrogen production system control system including: a temperature control device of the electrolytic cell, the electrolytic cell and a preset cooling device.
According to an aspect of an embodiment of the present invention, there is provided an electronic apparatus including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of controlling the temperature of an electrolysis cell of any preceding claim.
According to an aspect of embodiments of the present invention, there is provided a computer-readable storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform any one of the above-described methods of controlling a temperature of an electrolytic cell.
In the embodiment of the invention, the temperature deviation value of the preset temperature value and the water inlet temperature value of the electrolytic tank is determined, the deviation change rate corresponding to the temperature deviation value is determined under the condition that the temperature deviation value is smaller than a first preset threshold value and larger than a second preset threshold value, and then the temperature deviation value and the deviation change rate are output to the expansion factor fuzzy regulator module, the fuzzy controller module and the PID controller module, so that the aim of determining a target output value for controlling the opening degree of preset cooling equipment is fulfilled, and the effect of controlling the temperature of the electrolytic tank is achieved. Since the target output value of the predetermined cooling device is realized by the above modules, the process of realizing the above modules is very rapid compared with the complicated temperature control module in the related art, and the obtained result is also expected. And when the temperature deviation value is in the range, the operation is immediately executed, so that the target output value for controlling the opening degree of the preset cooling equipment can be timely and accurately determined, the technical effect of timely and accurately controlling the opening degree of the preset cooling equipment is realized, and the technical problem of reduction of the performance of the electrolytic cell caused by the phenomena of excessive adjustment of temperature, untimely adjustment and the like when the temperature of the electrolytic cell is controlled in the related technology is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention and do not constitute a limitation of the invention. In the drawings:
FIG. 1 is a flow chart of a method of temperature control of an electrolytic cell according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the configuration of an electrolytic hydrogen production system control system provided by an alternative embodiment of the present invention;
FIG. 3 is a block diagram showing the structure of a temperature control apparatus for an electrolytic cell according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for controlling temperature of an electrolytic cell, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
FIG. 1 is a flow chart of a method for controlling the temperature of an electrolytic cell according to an embodiment of the present invention, as shown in FIG. 1, the method comprising the steps of:
step S102, determining a temperature deviation value between a preset temperature value and a water inlet temperature value of an electrolytic cell;
in the technical solution provided in the above step S102 of the present invention, by determining the temperature deviation value between the preset temperature value and the water inlet temperature value of the electrolytic cell, the deviation between the preset temperature value and the current water inlet temperature value of the electrolytic cell can be determined.
Step S104, determining a deviation change rate corresponding to the temperature deviation value under the condition that the temperature deviation value is smaller than a first preset threshold value and larger than a second preset threshold value;
in the technical solution provided by the above step S104 of the present invention, in the case that the temperature deviation value is smaller than the first predetermined threshold value and larger than the second predetermined threshold value, that is, in the case that the temperature deviation value is in a moderate state, the deviation change rate corresponding to the temperature deviation value is determined, and the deviation change rate of the temperature of the electrolytic cell can be determined, so as to timely determine the temperature deviation condition of the electrolytic cell. Namely, under the condition that the temperature deviation value is in a moderate state, the difference between the actual temperature and the preset temperature is not large, and the opening degree of the preset cooling equipment needs to be accurately controlled to ensure the temperature of the water inlet of the electrolytic cell to be stable.
Step S106, determining a temperature deviation scaling factor corresponding to the temperature deviation value, a change rate scaling factor corresponding to the deviation change rate and a PID scaling factor according to the temperature deviation value, the deviation change rate and a scaling factor fuzzy regulator module;
in the technical solution provided in step S106 of the present invention, the temperature deviation scaling factor corresponding to the temperature deviation value, the change rate scaling factor corresponding to the deviation change rate, and the PID scaling factor can be accurately determined according to the temperature deviation value, the deviation change rate, and the scaling factor fuzzy adjustment module. By adjusting the discourse domain of each variable of the fuzzy controller by using the expansion factor, the adaptability of the PID controller to the working condition change is improved, and the response speed and the control precision of the system are further improved.
Step S108, determining a PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor and the fuzzy controller module;
in the technical solution provided by step S108 of the present invention, the PID fuzzy control output value can be accurately determined in time according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor and the fuzzy controller module, that is, the adjustment increment values of the three parameters of the PID controller are used as output, so as to control the temperature to be constant and enhance the disturbance rejection capability and the response speed of the system.
And step S110, determining a target output value for controlling the opening of the preset cooling equipment according to the PID fuzzy control output value and the PID controller module so as to control the temperature of the electrolytic cell.
In the technical solution provided by step S110 of the present invention, a target output value for controlling the opening degree of the predetermined cooling device can be determined according to the PID fuzzy control output value and the PID controller module, and the target output value is clear and accurate. And through the PID self-control, the overshoot of the temperature can be reduced, the adjusting time is reduced, and the electrolytic cell is suitable for stable operation in a large power fluctuation range. And the preset cooling equipment can quickly control the water supply temperature of the electrolytic cell by using the determined target output value for controlling the opening of the preset cooling equipment, thereby effectively avoiding the problems of reduced performance and overlarge energy consumption of the electrolytic cell caused by large fluctuation of the water supply temperature.
The predetermined cooling device may be a device capable of controlling the temperature of the electrolytic cell in a scenario of hydrogen production by electrolyzing water, for example, a cooler may be used to control the opening degree of a valve of the cooler, or other devices may also be used, and the predetermined cooling device is not limited herein as long as the temperature of the electrolytic cell can be controlled.
Through the steps S102 to S110, a temperature deviation value between the preset temperature value and the water inlet temperature value of the electrolytic cell is determined, a deviation change rate corresponding to the temperature deviation value is determined under the condition that the temperature deviation value is smaller than a first preset threshold value and larger than a second preset threshold value, and then the temperature deviation value and the deviation change rate are output to the expansion factor fuzzy regulator module, the fuzzy controller module and the PID controller module, so that the aim of determining a target output value for controlling the opening degree of the preset cooling equipment is fulfilled, and the effect of controlling the temperature of the electrolytic cell is achieved. Since the target output value of the predetermined cooling device is realized by the above-mentioned several modules, the process of the above-mentioned several modules is very rapid compared to the complicated temperature control module in the related art, and the result is also expected. And when the temperature deviation value is in the range, the operation is immediately executed, so that the target output value for controlling the opening degree of the preset cooling equipment can be timely and accurately determined, the technical effect of timely and accurately controlling the opening degree of the preset cooling equipment is realized, and the technical problem of reduction of the performance of the electrolytic cell caused by the phenomena of excessive adjustment of temperature, untimely adjustment and the like when the temperature of the electrolytic cell is controlled in the related technology is solved.
As an alternative embodiment, the method further comprises: the opening degree output value of the predetermined cooling device is determined to be a first predetermined value in case the temperature deviation value is larger than a first predetermined threshold value, and/or is determined to be a second predetermined value in case the temperature deviation value is smaller than a second predetermined threshold value, wherein the second predetermined value is larger than the first predetermined value.
In this embodiment, in the case that the temperature deviation value is greater than the first predetermined threshold value, that is, in the case that the water inlet temperature value of the electrolytic cell is smaller than the preset temperature value and the difference between the water inlet temperature value and the preset temperature value is larger, the opening output value of the predetermined cooling device is determined to be the first predetermined value, for example, the first predetermined value U =0 is set, the opening output value of the predetermined cooling device may be determined to be the second predetermined value, for example, the first predetermined value U =100 is set, the opening output value of the predetermined cooling device may be determined to be the second predetermined value in the case that the temperature deviation value is smaller than the second predetermined threshold value, that is, the water inlet temperature value of the electrolytic cell is larger than the preset temperature value and the difference between the water inlet temperature value and the preset temperature value is larger, and the water inlet of the electrolytic cell may be timely cooled to prevent the electrolytic cell from being damaged in the case that the temperature is higher.
As an alternative embodiment, before determining the temperature deviation value between the preset temperature value and the water inlet temperature value of the electrolytic cell, the method further comprises: determining power supply parameters corresponding to the electrolytic cell; and determining an initial output value for controlling the opening degree of the preset cooling equipment according to the power supply parameter.
In this example, an initial output value is determined according to the corresponding power supply parameters of the electrolyzer. Since the temperature control is generally performed by feedback of the output of the actual controlled object to follow the control, the control itself has a lag because the temperature control must be performed until a deviation occurs between the actual output and the theoretical output. In addition, when the temperature of the inlet water of the electrolytic cell is controlled in the related art, because various parameters of the electrolytic cell during operation have fluctuation, such as current and voltage fluctuation, and in addition, the nonlinearity, dynamic response lag and other factors of the actuating mechanism, and the interference of the outside to the control system, the temperature is difficult to control at the set value, and a large deviation may occur, therefore, in the embodiment, an initial output value is determined, and fine adjustment is performed on the initial input value, so that a target output value which meets the operation condition of the electrolytic cell is determined. Therefore, in this example, the corresponding power supply parameters of the electrolytic cell are determined, and the operation condition of the electrolytic cell is determined. According to the power supply parameters, an initial output value for controlling the opening degree of the preset cooling equipment is determined, a feed-forward value is given, and the initial output value can be adjusted subsequently, so that the opening degree of the preset cooling equipment reaches an appropriate value. The double adjustment mode according to the power supply parameter value and the temperature of the water inlet and the water outlet is realized, so that the determination of the opening of the preset cooling equipment is ensured.
As an alternative embodiment, determining a temperature deviation scaling factor corresponding to the temperature deviation value, a rate of change scaling factor corresponding to the rate of change deviation, and a PID scaling factor based on the temperature deviation value, the rate of change of deviation, and the scaling factor fuzzy adjuster module includes: in a telescopic factor fuzzy regulator module, determining a first fuzzy rule table corresponding to temperature deviation, a second fuzzy rule table corresponding to deviation change and a third fuzzy rule table corresponding to PID; in the scaling factor fuzzy regulator module, a temperature deviation scaling factor corresponding to the temperature deviation value is determined according to the first fuzzy rule table, a change rate scaling factor corresponding to the deviation change rate is determined according to the second fuzzy rule table, and a PID scaling factor is determined according to the temperature deviation value, the deviation change rate and the third fuzzy rule table.
In this embodiment, in the scaling factor fuzzy regulator module, the first fuzzy rule table corresponding to the temperature deviation, the second fuzzy rule table corresponding to the deviation change, and the third fuzzy rule table corresponding to the PID may be determined accurately in time. Through the fuzzy rule table, a proper expansion factor can be determined, and certain expansion adjustment can be properly carried out on the temperature deviation value, the deviation change rate and the PID. In the scaling factor fuzzy regulator module, a temperature deviation scaling factor corresponding to the temperature deviation value can be determined according to the first fuzzy rule table, a change rate scaling factor corresponding to the deviation change rate can be determined according to the second fuzzy rule table, and the PID scaling factor can be accurately determined according to the temperature deviation value, the deviation change rate and the third fuzzy rule table. Because the fixed domain of discourse can not achieve the expected control effect due to the limited adaptability, the scale factor capable of adjusting the domain of discourse is added on the basis of the control effect. The ambiguity field will scale up as the error increases and scale down as the error decreases. And when the error is reduced, increasing the number of rules near the zero point, and ensuring that the local control precision is high enough. During the operation of the electrolytic cell, reasoning is carried out through a fuzzy rule, and a corresponding expansion factor is output to adjust a basic discourse domain and a fuzzy control output discourse domain, so that the finally determined target output value is more accurate.
As an alternative embodiment, determining the PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor and the fuzzy controller module includes: in the fuzzy controller module, determining a temperature deviation quantization factor corresponding to the temperature deviation value, a change rate quantization factor corresponding to the deviation change rate, a PID scale factor and a fuzzy control rule table; in the fuzzy controller module, determining a first fuzzy domain according to the temperature deviation value, the temperature deviation scaling factor and the temperature deviation quantization factor, and determining a second fuzzy domain according to the deviation change rate, the change rate scaling factor and the change rate quantization factor; and in the fuzzy controller module, determining a PID fuzzy control output value according to the first fuzzy domain, the second fuzzy domain, the PID scaling factor, the PID scale factor and a fuzzy control rule table.
In this embodiment, the fuzzy controller module may accurately determine the first fuzzy domain based on the temperature deviation value, the temperature deviation scaling factor, and the temperature deviation quantization factor, such that the determined first fuzzy domain is scaled or expanded appropriately to fit the scene. And the second ambiguity domain can be accurately determined according to the deviation change rate, the change rate scaling factor and the change rate quantization factor, and the determined second ambiguity domain is properly scaled or expanded and is suitable for the scene. In the fuzzy controller module, the PID fuzzy control output value can be accurately determined according to the first fuzzy domain, the second fuzzy domain, the PID scaling factor, the PID scale factor and the fuzzy control rule table.
As an alternative embodiment, determining a target output value for controlling the opening degree of the predetermined cooling device according to the PID fuzzy control output value and the PID controller module includes: in a PID controller module, determining a preset value of a PID parameter; and in the PID controller module, determining a target output value for controlling the opening of the preset cooling equipment according to the PID fuzzy control output value and the PID parameter preset value.
In this embodiment, an accurate PID parameter preset value can be determined in the PID controller module. In the PID controller module, a target output value for controlling the opening degree of the preset cooling equipment can be timely and accurately determined according to the PID fuzzy control output value and the PID parameter preset value.
Based on the above embodiments and alternative embodiments, an alternative implementation is provided, which is described in detail below.
In an alternative embodiment of the present invention, a method for controlling the temperature of an electrolytic cell is provided, which can adjust the temperature of the electrolytic cell timely and accurately, and ensure that the electrolytic cell maintains good performance. Taking a predetermined cooling device as a cooler and controlling the opening of a valve of the cooler as an example, an alternative embodiment of the present invention will be described in detail below:
FIG. 2 is a schematic diagram of the structure of the control system of the electrolytic hydrogen production system according to the alternative embodiment of the present invention, and as shown in FIG. 2, the data acquisition module can acquire the power supply parameters and the temperature parameters of the water inlet of the electrolytic cell in real time; the feedback compensation module is used for monitoring the deviation between the temperature of the water inlet of the electrolytic bath and a preset value and outputting a compensation value; the scale factor fuzzy regulator module comprises a scale factor fuzzy regulator and a first differential module, and can establish a database and a fuzzy library for PID scale factor inference for regulating the numerical value of the PID scale factor; the fuzzy controller module comprises a fuzzy controller, a second differential module and a proportional module, and is used for adjusting PID input parameters in real time and outputting more accurate PID proportional factors; the valve opening value output module comprises a PID controller and a feedforward controller, and can accurately determine the adjusting temperature in time. The switching module is respectively connected with the valve opening value output module and the comparison output module in a switch type control mode.
Referring to fig. 2, the steps performed by an alternative embodiment of the present invention are described in detail:
s1, obtaining power supply parameters of an electrolytic cell, wherein the power supply parameters comprise power supply current, power supply voltage and the like provided by a hydrogen production power supply to the electrolytic cell;
s2, determining an initial output value for controlling the opening of the cooler valve by the feed-forward controller module through the power supply parameters;
s3, acquiring the temperature of a water inlet of the electrolytic bath;
s4, the temperature detection module transmits the temperature of the water inlet to the comparison module;
s5, the comparison module determines a temperature deviation value between the preset temperature and the water inlet temperature, and the temperature deviation value is recorded as a temperature deviation e (k) (which is equivalent to e in fig. 2), wherein the temperature deviation e (k) is an error between the preset electrolytic bath water inlet temperature value and an actual electrolytic bath water inlet temperature value, e (k) = T0-T (k), the temperature deviation at the moment k is represented by e (k), the temperature preset value is represented by T0, and the actual temperature value at the moment k is represented by T (k);
s6, determining the comparison result of the temperature deviation e (k) and 10 ℃ (the same as the first preset threshold value) and 10 ℃ (the same as the second preset threshold value);
s7, switching the internal programs by adopting a switching submodule according to the comparison result;
when the temperature deviation e (k) is more than 10 ℃, the actual temperature is far lower than the preset temperature, the valve of the cooler is controlled to be normally closed, the output U =0, and cooling is not needed;
when the temperature deviation e (k) is less than-10 ℃, the actual temperature is far higher than the preset temperature, the valve of the cooler is controlled to be fully opened, the output quantity U =100, and the rapid cooling is realized;
when the temperature deviation is less than-10 ℃ and less than e (k) and less than 10 ℃, the difference between the actual temperature and the preset temperature is not large, the opening of a cooler valve needs to be accurately controlled to ensure the temperature of the water inlet of the electrolytic cell to be stable, and the step S8 is skipped.
S8, a deviation change rate ec (k) (corresponding to ec in fig. 2) corresponding to the temperature deviation e (k) is determined, and the deviation change rate ec (k) is a trend of temperature change. Wherein, the calculation formula is: ec (k) = [ e (k) -e (k-1) ]/t, e (k-1) denotes a temperature deviation at the time of k-1, t denotes an acquisition period, [ e (k) -e (k-1) ] corresponds to de in fig. 2, t corresponds to dt in fig. 2, and a process of calculating ec (k) corresponds to de/dt in fig. 2.
And S9, inputting the water inlet temperature deviation e (k) and the deviation change rate ec (k) serving as two input variables of the expansion factor fuzzy regulator into the expansion factor fuzzy regulator, and determining a temperature deviation expansion factor corresponding to the temperature deviation value, a change rate expansion factor corresponding to the deviation change rate and a PID expansion factor.
It should be noted that, in this process, it is necessary to determine an α 1 fuzzy rule table corresponding to the temperature deviation in the scaling factor fuzzy regulator module, where table 1 is an α 1 fuzzy rule table, which is the same as the first fuzzy rule table, an α 2 fuzzy rule table corresponding to the deviation change, table 2 is an α 2 fuzzy rule table, which is the same as the second fuzzy rule table, and β p, β i, and β d fuzzy rule tables corresponding to the PID, and table 3 is a β p, β i, and β d fuzzy rule table, which is the same as the third fuzzy rule table;
in the expansion factor fuzzy regulator module, a temperature deviation expansion factor corresponding to the temperature deviation value is determined according to an alpha 1 fuzzy rule table, a change rate expansion factor corresponding to the deviation change rate is determined according to an alpha 2 fuzzy rule table, and a PID expansion factor is determined according to the temperature deviation value, the deviation change rate and a beta p, beta i and beta d fuzzy rule table.
Tables shown in tables 1, 2 and 3 are scaling factor fuzzy rule bases established in advance, and fuzzy reasoning is carried out according to input quantity and fuzzy relation. The table is established according to expert experience, and the expansion factor alpha 1 of the temperature deviation discourse domain and the expansion factor alpha 2 of the deviation change rate discourse domain are divided into four subsets: { B, M, S, Z }. The scale factors β p, β i, β d of the output discourse domain are divided into seven large subsets: { GS, VS, S, M, B, VB, GB }, appropriate scaling factors can be determined by appropriate partitioning:
TABLE 1
E NB NM NS Z PS PM PB
α 1 B M S Z S M B
TABLE 2
EC NB NM NS Z PS PM PB
α 2 B M S Z S M B
TABLE 3
E EC EC EC EC EC EC EC
NB NM NS Z PS PM PB
NB VB/GB/B VB/GB/S B/VB/GS M/VB/GS B/B/GS VB/M/VS VB/M/B
NM VB/GB/M B/VB/S M/VB/GS S/B/VS M/B/VS B/M/S VB/S/M
NS B/VB/M M/VB/S S/VB/VS VS/B/VS S/M/S M/S/S B/S/M
Z M/VB/M S/B/S VS/B/S VS/M/S VS/S/S S/VS/S M/VS/S
PS B/B/M M/B/M S/M/M VS/S/M S/S/M M/VS/M B/VS/M
PM VB/M/GB B/M/B M/S/B S/VS/B M/VS/B M/VS/B B/VS/B
PB VB/M/GB VB/S/VB B/S/VB M/VS/VB B/VS/VB VB/GS/B VB/GS/GB
S10, determining a PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor and the fuzzy controller module;
in this process, in the fuzzy controller module, it is necessary to determine a temperature deviation quantization factor Ke '(corresponding to Ke in fig. 2) corresponding to the temperature deviation value, a change rate quantization factor kec' (corresponding to Kec in fig. 2) corresponding to the deviation change rate, PID scaling factors Δ Kp, Δ Ki, and Δ Kd, and fuzzy control rule tables corresponding to Δ Kp, Δ Ki, and Δ Kd stored in the fuzzy controller, and table 4 is a fuzzy control rule table corresponding to Δ Kp, Δ Ki, and Δ Kd stored in the fuzzy controller;
TABLE 4
E EC EC EC EC EC EC EC
NB NM NS Z PS PM PB
NB PB/NB/PS PB/NB/NS PM/NM/NB PM/NM/NB PS/NS/NB PS/Z/NM PS/Z/PS
NM PB/NB/PS PB/NB/NS PM/NM/NB PS/NS/NM PS/NS/NM Z/Z/NS NS/Z/NS
NS PM/NB/Z PM/NM/NS PS/NS/NM PS/NS/NM Z/Z/NS NS/PS/NS NS/PS/Z
Z PM/NM/Z PM/NM/NS PS/NS/NS Z/Z/NS NS/PS/NS NM/PM/NS NM/PM/Z
PS PS/NM/Z PS/NS/Z Z/Z/Z NS/PS/Z NS/PS/Z NM/PM/Z NM/PB/Z
PM PS/Z/PB Z/Z/NS NS/PS/PS NM/PS/PS NM/PM/PS NM/PB/PS NB/PB/PB
PB Z/Z/PB Z/Z/PM Z/PS/PM NM/PM/PM NM/PM/PS NB/PB/PS NB/PB/PB
In a fuzzy controller module, determining a first fuzzy domain according to a temperature deviation value e (k), a temperature deviation scaling factor alpha 1 and a temperature deviation quantization factor ke ', and determining a second fuzzy domain according to a deviation change rate ec (k), a change rate scaling factor alpha 2 and a change rate quantization factor kec';
in the fuzzy controller module, according to the first fuzzy domain, the second fuzzy domain, the PID scale factors beta p, beta i and beta d, the PID scale factors delta Kp, delta Ki and delta Kd and a fuzzy control rule table, the fuzzy controller module carries out the clarification processing to determine the PID fuzzy control output values Kp ', ki ' and Kd '.
And S11, determining target output values Kp, ki and Kd for controlling the opening of the cooler valve according to the PID fuzzy control output values Kp ', ki ' and Kd ' and the PID controller module.
In the process, preset values Kp0, ki0 and Kd0 of PID parameters are determined in a PID controller module;
and in the PID controller module, determining a target output value for controlling the opening of the cooler valve according to the PID fuzzy control output value and the PID parameter preset value.
The calculation formula is as follows:
Kp=Kp0+ Kp’;
Ki=Ki0+ Ki’;
Kd=Kd0+ Kd’。
it should be noted that, the above steps S1 to S11 complete the primary control of the opening degree of the cooler valve, and may be implemented in a loop manner in the solution provided by the alternative embodiment of the present invention. And controlling the opening of the cooler valve of the electrolytic bath according to the power supply parameters of the electrolytic bath. Under the fluctuation range of the large power supplied by the electrolytic cell, the output value of the opening degree of the primary cooler valve can be adjusted, and then PID control is carried out for fine adjustment.
Through the above optional embodiment, at least the following beneficial effects can be achieved:
(1) Timely and accurately adjusting the temperature of the electrolytic cell to ensure that the electrolytic cell maintains better performance;
(2) But also can reduce the overshoot of temperature and the adjusting time, so that the electrolytic cell is suitable for stable operation in a large power fluctuation range;
(3) The water supply temperature of the electrolytic cell can be quickly controlled, and the problems of reduction of the performance of the electrolytic cell and overlarge energy consumption caused by large fluctuation of the water supply temperature are effectively avoided;
(4) The opening of the cooler valve is adjusted through feedforward control and PID control, and various factors are considered, so that the adjusting process is more complete;
(5) The combination of active temperature control and passive temperature control can simulate the human judgment process by intelligent algorithm to control the temperature of the electrolytic bath without establishing precise mathematical model.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g., a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, an optical disk), and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
According to an embodiment of the present invention, there is also provided an apparatus for carrying out the above-described method for controlling the temperature of an electrolytic cell, and fig. 3 is a block diagram showing the structure of the apparatus for controlling the temperature of an electrolytic cell according to an embodiment of the present invention, as shown in fig. 3, the apparatus comprising: a first determination module 302, a second determination module 304, a third determination module 306, a fourth determination module 308, and a fifth determination module 310, which are described in detail below.
A first determining module 302, configured to determine a temperature deviation value between a preset temperature value and a water inlet temperature value of the electrolytic cell; a second determining module 304, coupled to the first determining module 302, for determining a deviation change rate corresponding to the temperature deviation value if the temperature deviation value is less than the first predetermined threshold and greater than a second predetermined threshold; a third determining module 306, connected to the second determining module 304, for determining a temperature deviation scaling factor corresponding to the temperature deviation value, a change rate scaling factor corresponding to the deviation change rate, and a PID scaling factor according to the temperature deviation value, the deviation change rate, and the scaling factor fuzzy adjusting module; a fourth determining module 308, connected to the third determining module 306, for determining a PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor and the fuzzy controller module; a fifth determining module 310, connected to the fourth determining module 308, is used for determining a target output value for controlling the opening degree of the predetermined cooling device according to the PID fuzzy control output value and the PID controller module.
It should be noted here that the first determining module 302, the second determining module 304, the third determining module 306, the fourth determining module 308 and the fifth determining module 310 correspond to steps S102 to S110 in the method for controlling the temperature of the electrolytic cell, and the modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure of the above embodiment 1.
Example 3
According to an embodiment of the present invention, there is also provided an apparatus for carrying out the above method for controlling the temperature of an electrolytic cell, the apparatus including: the system comprises a data acquisition module, a feedback compensation module, a telescopic factor fuzzy regulator module, a fuzzy controller module, a valve opening value output module, a PID controller module, a feedforward controller module, wherein the data acquisition module is respectively connected with the feedback compensation module and the feedforward controller module, the feedback compensation module is respectively connected with the telescopic factor fuzzy regulator module, the fuzzy controller module and the PID controller module, the telescopic factor fuzzy regulator module is connected with the fuzzy controller module, the fuzzy controller module is connected with the PID controller module, and the PID controller module is connected with the feedforward controller module.
In the application, an electrolytic hydrogen production system control device is designed, comprising: the system comprises a data acquisition module, a feedback compensation module, a telescopic factor fuzzy regulator module, a fuzzy controller module, a valve opening value output module, a PID controller module, a feedforward controller module, wherein the data acquisition module is respectively connected with the feedback compensation module and the feedforward controller module, the feedback compensation module is respectively connected with the telescopic factor fuzzy regulator module, the fuzzy controller module and the PID controller module, the telescopic factor fuzzy regulator module is connected with the fuzzy controller module, the fuzzy controller module is connected with the PID controller module, and the PID controller module is connected with the feedforward controller module. The data acquisition module can accurately acquire the temperature of the electrolytic cell, so that the temperature condition of the electrolytic cell can be accurately acquired. Because the valve opening value output module comprises a PID controller module and a feedforward controller module, the valve opening value output module can accurately determine the adjusting temperature in time. And the technical problem of reduction of the performance of the electrolytic cell caused by the phenomena of excessive overshoot of the temperature adjustment, untimely adjustment and the like in the process of controlling the temperature of the electrolytic cell in the related technology is solved.
As an alternative embodiment, the apparatus further comprises: the switching module is in on-off control connection with the valve opening value output module and the comparison output module respectively. The switching module can switch the electrolytic hydrogen production system control device according to the output of the valve opening value output module, so that the temperature of the electrolytic cell can be accurately adjusted. Because the comparison output module is in switch type control connection, the comparison output module can accurately and timely perform comparison output.
As an alternative embodiment, the data acquisition module comprises: the device comprises an electrolytic bath water inlet temperature collector and a power supply parameter collector, wherein the electrolytic bath water inlet temperature collector is connected with a feedback compensation module, and the power supply parameter collector is connected with a feedforward controller module. The temperature collector of the water inlet of the electrolytic cell can accurately collect the temperature of the water inlet of the electrolytic cell in time, and the power supply parameter collector can accurately collect the power supply parameters of the control device of the electrolytic hydrogen production system in time. Because the data acquisition module includes: the temperature collector of the water inlet of the electrolytic bath and the power supply parameter collector, so that the data acquisition module can accurately acquire the temperature of the water inlet of the electrolytic bath and the power supply parameters of the control device of the electrolytic hydrogen production system in time.
As an alternative embodiment, the feedback compensation module comprises: a differential circuit. Because the feedback compensation module comprises the differential circuit, the feedback compensation module can accurately determine the differential value of the temperature difference and the time.
As an alternative embodiment, the scaling factor fuzzy adjuster module comprises: the telescopic factor fuzzy regulator comprises a first temperature deviation input end, a deviation change rate input end, a temperature deviation telescopic factor output end, a deviation change rate telescopic factor output end, a PID telescopic factor output end, wherein the first temperature deviation input end is connected with a feedback compensation module, the first differential module is connected with the deviation change rate input end, the deviation change rate input end is connected with the feedback compensation module, the temperature deviation telescopic factor output end is connected with a fuzzy controller module, the deviation change rate telescopic factor output end is connected with the fuzzy controller module, and the PID telescopic factor output end is connected with the PID controller module. Because the telescopic factor fuzzy regulator comprises a first temperature deviation input end, a deviation change rate input end, a temperature deviation telescopic factor output end, a deviation change rate telescopic factor output end and a PID telescopic factor output end, the telescopic factor fuzzy regulator can receive the input of a first temperature deviation and a deviation change rate and output a temperature deviation telescopic factor, a deviation change rate telescopic factor and a PID telescopic factor, thereby adjusting the opening degree of the valve better according to the first temperature difference and the deviation change rate. The fuzzy regulator module comprises the following components: the telescopic factor fuzzy regulator module can more accurately regulate the valve opening degree.
As an alternative embodiment, the fuzzy controller module includes: the fuzzy controller comprises a temperature deviation quantization input end, a deviation change rate quantization input end and a PID (proportion integration differentiation) scale factor output end, wherein the temperature deviation quantization input end is connected with the feedback compensation module, the second differentiation module is connected with the deviation change rate quantization input end, the deviation change rate quantization input end is connected with the feedback compensation module, the PID scale factor output end is connected with the scale module, and the scale module is connected with the PID controller module. Because the fuzzy controller comprises a temperature deviation quantization input end, a deviation change rate quantization input end and a PID scale factor output end, the fuzzy controller can accurately determine the PID scale factor needing to be output according to the input temperature deviation quantization and the deviation change rate quantization. Since the fuzzy controller module comprises the fuzzy controller, the second differential module and the proportional module, and the second differential module can process the deviation change rate quantization input by the deviation change rate quantization input end, the fuzzy controller module can output more accurate PID proportional factors.
As an alternative embodiment, the PID controller module comprises: a PID controller, wherein the PID controller comprises: the second temperature deviation input end, the fuzzy controller module output value input end and the PID output value output end are connected with the feedback compensation module, the fuzzy controller module output value input end is connected with the fuzzy controller module, and the PID output value output end is connected with the feedforward compensator. Because the PID controller comprises a second temperature deviation input end, a fuzzy controller module output value input end and a PID output value output end, the PID controller can accurately determine the PID output value according to the input second temperature deviation and the output value of the fuzzy controller module. Because the PID controller module comprises the PID controller, the PID controller module can accurately determine the PID output value.
As an alternative embodiment, the apparatus further comprises: and the temperature display is connected with the temperature collector at the water inlet of the electrolytic bath. The temperature display can visually display the temperature of the water inlet of the electrolytic cell, and can conveniently determine the temperature condition of the electrolytic cell.
As an alternative embodiment, the apparatus further comprises: and the power failure protection device is connected with the PID controller module. The power-down protection device can protect the PID controller module and prevent the PID controller module from being damaged.
Example 4
According to another aspect of an embodiment of the present invention, there is also provided an electrolytic hydrogen production system control system including: a temperature control device of the electrolytic cell, the electrolytic cell and a preset cooling device.
Example 5
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a processor; a memory for storing processor executable instructions, wherein the processor is configured to execute the instructions to implement the method of controlling the temperature of an electrolysis cell of any one of the above.
Example 6
According to another aspect of an embodiment of the present invention, there is also provided a computer-readable storage medium, wherein instructions of the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the temperature control method of the electrolytic cell of any one of the above.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the description of each embodiment has its own emphasis, and reference may be made to the related description of other embodiments for parts that are not described in detail in a certain embodiment.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be an indirect coupling or communication connection through some interfaces, units or modules, and may be electrical or in other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A method of controlling the temperature of an electrolytic cell, comprising:
determining a temperature deviation value between a preset temperature value and a water inlet temperature value of the electrolytic bath;
determining a deviation change rate corresponding to the temperature deviation value if the temperature deviation value is less than a first predetermined threshold and greater than a second predetermined threshold;
determining a temperature deviation scaling factor corresponding to the temperature deviation value, a change rate scaling factor corresponding to the deviation change rate, and a proportional-integral-derivative (PID) scaling factor according to the temperature deviation value, the deviation change rate, and a scaling factor fuzzy regulator module;
determining a PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor and a fuzzy controller module;
and determining a target output value for controlling the opening of the preset cooling equipment according to the PID fuzzy control output value and the PID controller module so as to control the temperature of the electrolytic cell.
2. The method of claim 1, further comprising:
determining an opening degree output value of the predetermined cooling device to be a first predetermined value in case the temperature deviation value is larger than the first predetermined threshold value, and/or,
and determining the opening degree output value of the preset cooling device to be a second preset value in the case that the temperature deviation value is smaller than the second preset threshold value, wherein the second preset value is larger than the first preset value.
3. The method of claim 1, wherein prior to determining the temperature deviation value between the preset temperature value and the temperature value of the water inlet of the electrolytic cell, further comprising:
determining power supply parameters corresponding to the electrolytic cell;
and determining an initial output value for controlling the opening degree of the preset cooling equipment according to the power supply parameter.
4. The method of claim 1, wherein the determining a temperature deviation scaling factor corresponding to the temperature deviation value, a rate of change scaling factor corresponding to the rate of change deviation, and a PID scaling factor based on the temperature deviation value, the rate of change of deviation, and a scaling factor fuzzy governor module comprises:
in the telescopic factor fuzzy regulator module, determining a first fuzzy rule table corresponding to temperature deviation, a second fuzzy rule table corresponding to deviation change and a third fuzzy rule table corresponding to PID;
in the scaling factor fuzzy regulator module, the temperature deviation scaling factor corresponding to the temperature deviation value is determined according to the first fuzzy rule table, the change rate scaling factor corresponding to the deviation change rate is determined according to the second fuzzy rule table, and the PID scaling factor is determined according to the temperature deviation value, the deviation change rate and the third fuzzy rule table.
5. The method of claim 1, wherein determining the PID fuzzy control output value based on the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, the PID scaling factor, and a fuzzy controller module comprises:
determining, in the fuzzy controller module, a temperature deviation quantization factor corresponding to the temperature deviation value, a rate of change quantization factor corresponding to the rate of change of deviation, a PID scaling factor, and a fuzzy control rule table;
in the fuzzy controller module, determining a first fuzzy domain according to the temperature deviation value, the temperature deviation scaling factor and the temperature deviation quantization factor, and determining a second fuzzy domain according to the deviation change rate, the change rate scaling factor and the change rate quantization factor;
and in the fuzzy controller module, determining the PID fuzzy control output value according to the first fuzzy domain, the second fuzzy domain, the PID scaling factor and the fuzzy control rule table.
6. The method according to claim 1, wherein the determining a target output value for controlling a predetermined opening degree of a cooling device according to the PID fuzzy control output value and PID controller module comprises:
in the PID controller module, determining the preset value of the PID parameter;
and in the PID controller module, determining the target output value for controlling the opening degree of the preset cooling equipment according to the PID fuzzy control output value and the PID parameter preset value.
7. An apparatus for controlling the temperature of an electrolytic cell, comprising:
the first determining module is used for determining the temperature deviation value between the preset temperature value and the water inlet temperature value of the electrolytic cell;
the second determining module is used for determining a deviation change rate corresponding to the temperature deviation value under the condition that the temperature deviation value is smaller than a first preset threshold value and larger than a second preset threshold value;
a third determining module, configured to determine a temperature deviation scaling factor corresponding to the temperature deviation value, a change rate scaling factor corresponding to the deviation change rate, and a PID scaling factor according to the temperature deviation value, the deviation change rate, and a scaling factor fuzzy adjuster module;
a fourth determining module, configured to determine a PID fuzzy control output value according to the temperature deviation value, the deviation change rate, the temperature deviation scaling factor, the change rate scaling factor, and the fuzzy controller module;
and the fifth determining module is used for determining a target output value for controlling the opening of the preset cooling equipment according to the PID fuzzy control output value and the PID controller module so as to control the temperature of the electrolytic cell.
8. An electrolytic hydrogen production system control system, comprising: the opening degree control device of a predetermined cooling device, the electrolytic cell, the predetermined cooling device as claimed in claim 7.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of controlling the temperature of an electrolysis cell according to any of claims 1 to 6.
10. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method of controlling the temperature of an electrolytic cell of any one of claims 1 to 6.
CN202310083746.2A 2023-02-08 2023-02-08 Temperature control method and device of electrolytic cell and electrolytic hydrogen production system control system Pending CN115857318A (en)

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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103362623A (en) * 2012-04-10 2013-10-23 现代自动车株式会社 Engine cooling system, electronic thermostat control system and control method for the same
CN206557555U (en) * 2017-01-12 2017-10-13 北京长征天民高科技有限公司 A kind of Temperature-controlled appliance
CN107676920A (en) * 2017-08-24 2018-02-09 青岛海尔空调电子有限公司 A kind of water chilling unit control method and system
CN110676680A (en) * 2019-09-03 2020-01-10 南京理工大学 Device for controlling output wavelength of microchip laser pumping source
CN110703827A (en) * 2019-11-12 2020-01-17 深圳市英威腾电气股份有限公司 Edge sealing adhesive temperature control system and temperature control method thereof
US20200276881A1 (en) * 2018-06-29 2020-09-03 Boe Technology Group Co., Ltd. Temperature control method and temperature control device
CN112214048A (en) * 2020-09-02 2021-01-12 重庆邮电大学 Temperature control system and method for miniature rapid temperature change experiment box
CN113851672A (en) * 2021-09-22 2021-12-28 珠海格力电器股份有限公司 Control method for fuel cell cooling water system, fuel cell, and storage medium
CN114059084A (en) * 2021-12-14 2022-02-18 阳光电源股份有限公司 Electrolytic hydrogen production system and temperature control method and device thereof
CN114318389A (en) * 2021-12-22 2022-04-12 无锡隆基氢能科技有限公司 Hydrogen production equipment and electrolytic bath temperature control method of hydrogen production equipment
CN114510092A (en) * 2022-02-17 2022-05-17 太原理工大学 Transition packet internal temperature control system and method based on fuzzy PID (proportion integration differentiation) of prediction variable universe

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103362623A (en) * 2012-04-10 2013-10-23 现代自动车株式会社 Engine cooling system, electronic thermostat control system and control method for the same
CN206557555U (en) * 2017-01-12 2017-10-13 北京长征天民高科技有限公司 A kind of Temperature-controlled appliance
CN107676920A (en) * 2017-08-24 2018-02-09 青岛海尔空调电子有限公司 A kind of water chilling unit control method and system
US20200276881A1 (en) * 2018-06-29 2020-09-03 Boe Technology Group Co., Ltd. Temperature control method and temperature control device
CN110676680A (en) * 2019-09-03 2020-01-10 南京理工大学 Device for controlling output wavelength of microchip laser pumping source
CN110703827A (en) * 2019-11-12 2020-01-17 深圳市英威腾电气股份有限公司 Edge sealing adhesive temperature control system and temperature control method thereof
CN112214048A (en) * 2020-09-02 2021-01-12 重庆邮电大学 Temperature control system and method for miniature rapid temperature change experiment box
CN113851672A (en) * 2021-09-22 2021-12-28 珠海格力电器股份有限公司 Control method for fuel cell cooling water system, fuel cell, and storage medium
CN114059084A (en) * 2021-12-14 2022-02-18 阳光电源股份有限公司 Electrolytic hydrogen production system and temperature control method and device thereof
CN114318389A (en) * 2021-12-22 2022-04-12 无锡隆基氢能科技有限公司 Hydrogen production equipment and electrolytic bath temperature control method of hydrogen production equipment
CN114510092A (en) * 2022-02-17 2022-05-17 太原理工大学 Transition packet internal temperature control system and method based on fuzzy PID (proportion integration differentiation) of prediction variable universe

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
孙志瑞;张艳兵;王慧芬;: "磁轴承的遗传优化的变论域模糊PID控制", 现代电子技术 *
屈彪;杨绍勇;: "QDQ2-1水电解制氢机自动控温装置", 气象水文海洋仪器 *
陈立;詹跃东;: "基于变论域模糊PID的PEMFC温度控制", 电子测量技术 *

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