CN117728082A - Control method, device, system and storage medium for energy storage system - Google Patents
Control method, device, system and storage medium for energy storage system Download PDFInfo
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Abstract
The disclosure relates to the technical field of energy conservation and environmental protection, and discloses a control method, a device, a system and a storage medium for an energy storage system, wherein the control method comprises the following steps: acquiring an accumulation sequence of a parameter sequence of at least one temperature index of the battery cell, wherein the parameter sequence comprises temperature parameters corresponding to a plurality of sampling periods respectively, and the accumulation sequence comprises a plurality of parameter sums; constructing a description equation for describing an accumulation sequence of the temperature indexes aiming at each temperature index; based on a description equation corresponding to each temperature index, predicting a temperature prediction parameter of the next sampling period corresponding to the temperature index; and controlling the temperature control device based on the temperature prediction parameters corresponding to each temperature index. The temperature control device is controlled based on the temperature prediction parameters, so that the problem of larger overshoot of the temperature control device caused by system time lag can be avoided, the temperature control result of the temperature control device is more accurate, the temperature fluctuation is reduced, the energy consumption of the energy storage system is reduced, and the energy of the energy storage system is saved.
Description
Technical Field
The present disclosure relates to the technical field of energy conservation and environmental protection, for example, to a control method, device, system and storage medium for an energy storage system.
Background
The energy storage system has wide application in electric automobiles and energy storage equipment, and comprises a temperature control device and a battery cell, wherein the temperature control device is used for adjusting the temperature of the battery cell so as to improve the performance of the energy storage system.
In the related art, the temperature control device can be controlled based on the temperature parameter by detecting the related temperature parameter of the battery cell. However, the temperature control system in the related art is a time lag system with a larger time constant, if the temperature control device is controlled by using the temperature parameter acquired in real time, the overshoot of the temperature control device is larger, the actual temperature fluctuation is larger, the energy consumption of the energy storage system is higher, and the energy of the energy storage system is wasted.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a control method, a device, a system and a storage medium for an energy storage system, which can enable a temperature control result of a temperature control device to be more accurate, reduce temperature fluctuation, reduce energy consumption of the energy storage system and save energy of the energy storage system.
According to a first aspect of the present disclosure, there is provided a control method for an energy storage system, the energy storage system including a temperature control device and a battery cell, the control method comprising:
acquiring an accumulation sequence of a parameter sequence of at least one temperature index of the battery core, wherein the parameter sequence comprises temperature parameters corresponding to a plurality of sampling periods respectively, each temperature parameter is determined and obtained based on the temperature acquired in the corresponding sampling period, each temperature parameter in the parameter sequence is arranged according to the time sequence of the corresponding sampling period, the accumulation sequence comprises a plurality of parameter sums, and the kth parameter sum is obtained by accumulating the 1 st temperature parameter to the kth temperature parameter in the parameter sequence;
constructing a description equation for describing an accumulation sequence of the temperature indexes aiming at each temperature index;
based on a description equation corresponding to each temperature index, predicting a temperature prediction parameter of the next sampling period corresponding to the temperature index;
And controlling the temperature control device based on the temperature prediction parameters corresponding to each temperature index.
In some embodiments, predicting the temperature prediction parameter of the next sampling period corresponding to each temperature indicator based on the description equation corresponding to the temperature indicator includes:
predicting an nth parameter sum corresponding to each temperature index based on a description equation corresponding to each temperature index, wherein the nth parameter sum is the last parameter sum in the accumulation sequence;
and determining the temperature prediction parameter of the next sampling period corresponding to the temperature index based on the prediction parameter sum.
In some embodiments, predicting the sum of the nth parameter and the subsequent predicted parameter corresponding to each temperature indicator based on the descriptive equation corresponding to each temperature indicator includes:
determining a whitening response equation based on the description equation corresponding to each temperature index, wherein the whitening response equation is used for solving the prediction parameter sum;
based on the whitening response equation, the sum of the nth parameter and the following predicted parameter is solved.
In some embodiments, the expression describing the equation is:wherein->Representing the +.>Parameter sum(s)>Representing the first parameter, ++ >Representing a second parameter, t representing time.
In some embodiments, the first parameter and the second parameter are solved by:
will beConverting into a reference equation, wherein the expression of the reference equation is as follows:represents the k-th parameter sum, < ->Representing the +.>Parameter sum(s)>Representing the +.>A plurality of temperature parameters;
and solving the first parameter and the second parameter based on the reference equation, the temperature parameter in the parameter sequence and the sum of the parameters in the accumulation sequence.
In some embodiments, solving the first parameter and the second parameter based on the reference equation, the temperature parameter in the parameter sequence, and the sum of the parameters in the accumulation sequence comprises:
will be%) Defined as->Converting the reference equation into a corresponding matrix;
solving a first parameter and a second parameter by substituting the sum of the temperature parameter in the parameter sequence and the parameter in the accumulation sequence into a matrix;
the matrix expression is as follows:
n is the number of temperature parameters in the parameter sequence.
In some embodiments, the expression of the whitening response equation is as follows:
wherein->Representing the predicted parameters of the model and,represents the 1 st parameter sum, < ->Representing the first parameter, ++ >Representing a second parameter, n is the number of temperature parameters in the parameter sequence.
In some embodiments, determining the temperature prediction parameter for the next sampling period corresponding to the temperature indicator based on the prediction parameter sum includes: and subtracting the predicted parameter from the nth parameter to obtain a temperature predicted parameter of the next sampling period corresponding to the temperature index.
In some embodiments, the at least one temperature indicator comprises an average temperature indicator, the parameter sequence of the average temperature indicator comprises a plurality of average temperatures, the average temperatures being an average of all temperatures acquired in the corresponding sampling period.
In some embodiments, the at least one temperature indicator comprises a maximum temperature indicator, the parameter sequence of the maximum temperature indicator comprising a plurality of maximum temperatures, the maximum temperature being the maximum of all temperatures acquired in the corresponding sampling period.
In some embodiments, the sampling period corresponding to the last temperature parameter in the parameter sequence is the one closest to the current time.
In some embodiments, each temperature parameter in the parameter sequence is positive.
In some embodiments, prior to obtaining the accumulated sequence of parameter sequences for the at least one temperature indicator of the cell, further comprising:
Acquiring temperature parameters of the battery cell under at least one temperature index corresponding to a plurality of sampling periods;
in the process of acquiring the temperature parameter, when the temperature parameter with a negative value is detected, terminating the subsequent process;
and under the condition that each temperature parameter is determined to be positive, the temperature parameters of the same temperature index are formed into a parameter sequence.
According to a second aspect of the present disclosure, there is provided a control device for an energy storage system, the control device comprising a sequence acquisition module, an equation construction module, a parameter prediction module, and a control execution module;
the sequence acquisition module is configured to acquire an accumulated sequence of a parameter sequence of at least one temperature index of the battery cell, wherein the parameter sequence comprises temperature parameters corresponding to a plurality of sampling periods respectively, each temperature parameter is determined and obtained based on the temperature acquired in the corresponding sampling period, each temperature parameter in the parameter sequence is arranged according to the time sequence of the corresponding sampling period, the accumulated sequence comprises a plurality of parameter sums, and the kth parameter sum is accumulated from the 1 st temperature parameter to the kth temperature parameter in the parameter sequence;
the equation construction module is configured to construct, for each temperature index, a description equation for describing an accumulated sequence of the temperature index;
The parameter prediction module is configured to predict a temperature prediction parameter of the next sampling period corresponding to each temperature index based on a description equation corresponding to the temperature index;
the control execution module is configured to control the temperature control device based on the temperature prediction parameter corresponding to each temperature index.
According to a third aspect of the present disclosure there is provided a control device for an energy storage system, the control device comprising a processor and a memory storing program instructions, the processor being configured to, when executing the program instructions, perform the control method for an energy storage system provided by the first aspect of the present disclosure.
According to a fourth aspect of the present disclosure, there is provided an energy storage system comprising a temperature control device, a battery cell, a control device provided in the second or third aspect of the present disclosure, the control device being in communication with the temperature control device.
According to a fifth aspect of the present disclosure, there is provided a computer readable storage medium storing program instructions that, when executed, are configured to cause a computer device to perform the control method for an energy storage system provided in the first aspect of the present disclosure.
The control method, device, system and storage medium for the energy storage system provided by the embodiment of the disclosure can realize the following technical effects:
The embodiment of the disclosure generates an accumulation sequence capable of describing a generalized energy system based on a parameter sequence formed by acquired temperature parameters, accurately predicts the temperature prediction parameters at the future time through a description equation of the accumulation sequence, and thus obtains the temperature prediction parameters for controlling the temperature control device in advance. The temperature control device is controlled based on the temperature prediction parameters, so that the problem of larger overshoot of the temperature control device caused by system time lag can be avoided, the temperature control result of the temperature control device is more accurate, the temperature fluctuation is reduced, the energy consumption of the energy storage system is reduced, and the energy of the energy storage system is saved.
The foregoing general description and the following description are exemplary and explanatory only and are not intended to limit the present disclosure.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
FIG. 1 is a schematic diagram of an energy storage system provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a control method for an energy storage system provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another control method for an energy storage system provided by an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of another control method for an energy storage system provided by an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of a control device for an energy storage system provided in an embodiment of the present disclosure;
fig. 6 is a schematic diagram of another control device for an energy storage system provided by an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.
The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated.
In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
The term "corresponding" may refer to an association or binding relationship, and the correspondence between a and B refers to an association or binding relationship between a and B.
The energy storage system has wide application in electric automobiles and energy storage equipment, and comprises a temperature control device and a battery cell, wherein the temperature control device is used for adjusting the temperature of the battery cell so as to improve the performance of the energy storage system.
In the related art, the temperature control device can be controlled based on the temperature parameter by detecting the related temperature parameter of the battery cell. For example, the maximum temperature and the average temperature of one sampling period of the battery cell are detected, and the temperature control device is controlled based on the maximum temperature and the average temperature. However, the temperature control system in the related art is a time lag system with a larger time constant, if the temperature control device is controlled by using the temperature parameter acquired in real time, the overshoot of the temperature control device is larger, the actual temperature fluctuation is larger, and the energy consumption of the energy storage system is higher.
The disclosed embodiments provide an energy storage system, wherein the energy storage system 100 includes a control device 500, a temperature control device 101 and a battery cell 102, and the control device 500 is in communication connection with the temperature control device 101. The control device 500 may determine a temperature prediction parameter corresponding to at least one temperature indicator of the battery cell 102, and control the temperature control device based on the temperature prediction parameter corresponding to each temperature indicator.
In some embodiments, temperature control device 101 may include a compressor, a power pump (not shown), and the like, and control device 500 controls the compressor, the power pump, and the like based on temperature prediction parameters corresponding to each temperature indicator.
In connection with the energy storage system shown in fig. 1, an embodiment of the present disclosure provides a control method for an energy storage system, as shown in fig. 2, including:
s201, the control device obtains an accumulated sequence of parameter sequences of at least one temperature index of the battery cell.
The parameter sequence comprises temperature parameters corresponding to the sampling periods respectively, each temperature parameter is determined based on the temperature acquired in the corresponding sampling period, and the temperature parameters in the parameter sequence are arranged according to the time sequence of the corresponding sampling period. The sampling period corresponding to the last temperature parameter in the parameter sequence is the sampling period nearest to the current moment.
The number of temperature parameters in the parameter sequence and the duration of the sampling period may be dependent on the actual design requirements. For example, the number of temperature parameters in the parameter sequence is 256 or 512, etc., and the duration of the sampling period may be 1 second or 1 minute, etc. In some embodiments, the at least one temperature indicator comprises a maximum temperature indicator, the parameter sequence of the maximum temperature indicator comprising a plurality of maximum temperatures, the maximum temperature being the maximum of all temperatures acquired in the corresponding sampling period. Taking the example where the duration of the sampling period is 1 second, one maximum temperature is the maximum of all temperatures acquired within 1 second.
In some embodiments, the at least one temperature indicator comprises an average temperature indicator, the parameter sequence of the average temperature indicator comprises a plurality of average temperatures, the average temperatures being an average of all temperatures acquired in the corresponding sampling period. Taking the example where the duration of the sampling period is 1 second, one average temperature is the average of all temperatures acquired within 1 second.
After a parameter sequence of a temperature indicator is obtained, a corresponding accumulation sequence can be obtained based on the parameter sequence. The accumulation sequence comprises a plurality of parameter sums, and the kth parameter sum is obtained by accumulating the 1 st temperature parameter to the kth temperature parameter in the parameter sequence.
Specifically, the number of temperature parameters in the parameter sequence is the same as the number of parameter sums in the corresponding accumulation sequence. In the accumulation sequence, the 1 st parameter and the 1 st temperature parameter in the parameter sequence are equal, the 2 nd parameter and the 1 st temperature parameter and the 2 nd temperature parameter in the parameter sequence are accumulated, the 3 rd parameter and the 1 st temperature parameter to the 2 nd temperature parameter in the parameter sequence are accumulated, and the like, so that all the parameter sums are obtained.
In the embodiment of the present disclosure, the parameter sequence may be represented by the following equation 1:
-equation 1.
In the above-mentioned formula 1 of the present invention,for parameter sequence, ++>To->Representing n temperature parameters in the parameter sequence.
The accumulation sequence can be represented by the following equation 2:
-equation 2.
In the above-mentioned formula 2 of the present invention,for accumulating sequences +.>To->Representing the sum of the n parameters in the accumulation sequence.
The sum of the individual parameters in the accumulation sequence can be calculated by the following equation 3:
-equation 3.
In the above-mentioned formula 3 of the present invention,is the k-th parameter sum, < ->Is obtained by accumulating the 1 st temperature parameter to the kth temperature parameter in the parameter sequence.
S202, the control device constructs a description equation for describing the accumulation sequence of the temperature indexes aiming at each temperature index.
In the disclosed embodiment, the accumulation sequence describes a generalized energy system, and can be described by equations. Alternatively, the descriptive equation may be converted from a differential equation.
The accumulation sequence can be approximately described by a differential equation expressed by the following equation 4:
equation 4.
The above equation 4 is a description equation, and in equation 4,is the k-th parameter sum, < ->Representing the first parameter, ++>Representing a second parameter, t representing time.
S203, the control device predicts the temperature prediction parameter of the next sampling period corresponding to each temperature index based on the description equation corresponding to the temperature index.
In the embodiment of the present disclosure, the next sampling period refers to a sampling period after one sampling period nearest to the current time. At the present moment, the next sampling period is ongoing or not yet ongoing. The temperature prediction parameter for the next sampling period is the predicted temperature parameter at the future time.
S204, the control device controls the temperature control device based on the temperature prediction parameters corresponding to each temperature index.
In the embodiment of the disclosure, the specific control manner for the temperature control device may be determined according to actual design requirements. For example, the control device may control parameters such as the operating time and the power of the temperature control device based on the temperature prediction parameters corresponding to each temperature index.
In some embodiments, the temperature control device may include a compressor, a power pump, and other components, and the control device controls parameters such as working time and power of the compressor and the power pump based on temperature prediction parameters corresponding to each temperature index.
According to the control method for the energy storage system, based on the parameter sequence formed by the acquired temperature parameters, an accumulation sequence capable of describing the generalized energy system is generated, and the temperature prediction parameters at the future time are accurately predicted through a description equation of the accumulation sequence, so that the temperature prediction parameters for controlling the temperature control device are obtained in advance. The temperature control device is controlled based on the temperature prediction parameters, so that the problem of larger overshoot of the temperature control device caused by system time lag can be avoided, the temperature control result of the temperature control device is more accurate, the temperature fluctuation is reduced, the energy consumption of the energy storage system is reduced, and the energy of the energy storage system is saved.
In some embodiments, predicting the temperature prediction parameter of the next sampling period corresponding to each temperature indicator based on the description equation corresponding to the temperature indicator includes: predicting an nth parameter sum corresponding to each temperature index based on a description equation corresponding to each temperature index, wherein the nth parameter sum is the last parameter sum in the accumulation sequence; and determining the temperature prediction parameter of the next sampling period corresponding to the temperature index based on the prediction parameter sum.
In connection with the energy storage system shown in fig. 1, another control method for an energy storage system is provided in an embodiment of the present disclosure, as shown in fig. 3, the control method for an energy storage system includes:
s301, the control device acquires an accumulated sequence of parameter sequences of at least one temperature index of the battery cell.
S302, the control device constructs a description equation for describing the accumulation sequence of the temperature indexes aiming at each temperature index.
S303, the control device predicts the nth parameter sum and the subsequent predicted parameter sum corresponding to each temperature index based on the description equation corresponding to each temperature index.
In an embodiment of the present disclosure, the nth parameter sum is the last parameter sum in the accumulation sequence. It will be appreciated that the predicted parameter sum is based on the sum of the existing parameters and the predicted future time.
In some embodiments, the whitening response equation may be determined based on a descriptive equation for each temperature indicator. Here, the whitening response equation is used to solve the prediction parameter sum. And then solving the sum of the nth parameter and the following predicted parameter based on the whitening response equation.
In the embodiment of the present disclosure, first parameters and second parameters in equation 4 are calculated first, and then a whitening response equation is determined based on the description equation. The first and second parameters are solved by: will be Conversion to a reference equation in whichT represents time; and solving the first parameter and the second parameter based on the reference equation, the temperature parameter in the parameter sequence and the sum of the parameters in the accumulation sequence.
Specifically, equation 4 is converted into equation 5 as follows using the relationship of the differential equation to the differential equation:equation 5.
According toAnd->And->The relationship between them converts equation 5 to equation 6:
equation 6.
Represents the k-th parameter sum, < ->Representing the first in the accumulation sequenceParameter sum(s)>Representing the +.>A temperature parameter.
Optionally, solving the first parameter and the second parameter based on the reference equation, the temperature parameter in the parameter sequence, and the sum of the parameters in the accumulation sequence includes: will be%) Defined as->Equation 6 can be converted into the following expression:
based on the above expression of equation 6, the reference equation can be converted into a corresponding matrix, the matrix expression being as follows:
n is the number of temperature parameters in the parameter sequence.
After the matrix is obtained, the first parameter and the second parameter are solved by substituting the sum of the temperature parameter in the parameter sequence and the parameter in the accumulation sequence into the matrix.
To obtain more accurate At least 4 data, although more data may be used. Embodiments of the present disclosure may use 4 +.>Data and 4->The data solves for the first parameter and the second parameter.
Embodiments of the present disclosure solve for the first parameter and the second parameter by the following equations 7 through 9:
-equation 7;
-equation 8;
equation 9.
In the embodiment of the present disclosure, the expression of the whitening response equation is the following equation 10:
equation 10.
In the formula 10 of the present invention,representing predicted parameters and->Represents the 1 st parameter sum, < ->Representing the first parameter, ++>Representing a second parameter, n is the number of temperature parameters in the parameter sequence.
In the embodiment of the disclosure, the predicted parameter and the nth parameter sum may be subtracted to obtain the temperature predicted parameter of the next sampling period corresponding to the temperature index.
It will be appreciated that the number of components,equation 10 can therefore be converted to equation 11:
equation 11.
S304, the control device determines the temperature prediction parameter of the next sampling period corresponding to the temperature index based on the prediction parameter sum.
It will be appreciated that the predicted parameter and the temperature predicted parameter for the next sample period have the following relationship: the predicted parameter sum is obtained by accumulating the 1 st temperature predicted parameter in the parameter sequence to the temperature predicted parameter of the next sampling period. Further, the prediction parameter sum may be a sum value of a kth parameter sum and a temperature prediction parameter of a next sampling period, wherein the kth parameter sum is accumulated from a 1 st temperature prediction parameter to a kth temperature prediction parameter in the parameter sequence. Based on the relationship between the predicted parameter and the temperature predicted parameter for the next sampling period, the temperature predicted parameter for the next sampling period corresponding to the temperature index may be calculated.
In some embodiments, determining the temperature prediction parameter for the next sampling period corresponding to the temperature indicator based on the prediction parameter sum includes: and subtracting the predicted parameter from the nth parameter to obtain a temperature predicted parameter of the next sampling period corresponding to the temperature index.
The temperature prediction parameter for the next sampling period can be calculated by the following equation 12:
equation 12.
In the case of the formula 12 of the present invention,temperature prediction parameter indicative of the next sampling period,/->Representing predicted parameters and->Representing the +.>And parameters.
S305, the control device controls the temperature control device based on the temperature prediction parameters corresponding to each temperature index.
In some embodiments, each temperature parameter in the parameter sequence is positive.
In some embodiments, prior to obtaining the accumulated sequence of parameter sequences for the at least one temperature indicator of the cell, further comprising: acquiring temperature parameters of the battery cell under at least one temperature index corresponding to a plurality of sampling periods; in the process of acquiring the temperature parameter, when the temperature parameter with a negative value is detected, terminating the subsequent process; and under the condition that each temperature parameter is determined to be positive, the temperature parameters of the same temperature index are formed into a parameter sequence.
In connection with the energy storage system shown in fig. 1, another control method for an energy storage system is provided in an embodiment of the present disclosure, as shown in fig. 4, the control method for an energy storage system includes:
s401, the control device acquires temperature parameters of the battery cell under at least one temperature index corresponding to a plurality of sampling periods.
S402, when the control device detects the temperature parameter with a negative value in the process of acquiring the temperature parameter, the control device terminates the subsequent flow.
S403, the control device forms the temperature parameters of the same temperature index into a parameter sequence under the condition that each temperature parameter is determined to be positive.
S404, the control device obtains an accumulated sequence of parameter sequences of at least one temperature index of the battery cell.
S405, the control device constructs a description equation for describing the accumulation sequence of the temperature indexes aiming at each temperature index.
S406, the control device predicts the temperature prediction parameter of the next sampling period corresponding to each temperature index based on the description equation corresponding to the temperature index.
S407, the control device controls the temperature control device based on the temperature prediction parameters corresponding to each temperature index.
Referring to fig. 5, an embodiment of the present disclosure provides a control apparatus 500 for an energy storage system, where the control apparatus 500 includes a sequence acquisition module 501, an equation construction module 502, a parameter prediction module 503, and a control execution module 504.
The sequence obtaining module 501 is configured to obtain an accumulated sequence of parameter sequences of at least one temperature index of the battery cell, where the parameter sequences include temperature parameters corresponding to a plurality of sampling periods respectively, each temperature parameter is determined based on a temperature collected in a corresponding sampling period, the temperature parameters in the parameter sequences are arranged according to a time sequence of the corresponding sampling period, and the accumulated sequence includes a plurality of parameter sums, where the kth parameter sum is obtained by accumulating the 1 st temperature parameter to the kth temperature parameter in the parameter sequence.
The equation construction module 502 is configured to construct, for each temperature indicator, a description equation describing an accumulated sequence of the temperature indicator.
The parameter prediction module 503 is configured to predict a temperature prediction parameter of a next sampling period corresponding to each temperature index based on a description equation corresponding to the temperature index.
Control execution module 504 is configured to control the temperature control device based on the temperature prediction parameters corresponding to each of the temperature indicators.
The control device 500 for an energy storage system according to the embodiments of the present disclosure generates an accumulation sequence capable of describing a generalized energy system based on a parameter sequence composed of acquired temperature parameters, and accurately predicts the temperature prediction parameters at a future time by a description equation of the accumulation sequence, so as to obtain the temperature prediction parameters for controlling the temperature control device in advance. The temperature control device is controlled based on the temperature prediction parameters, so that the problem of larger overshoot of the temperature control device caused by system time lag can be avoided, the temperature control result of the temperature control device is more accurate, the temperature fluctuation is reduced, the energy consumption of the energy storage system is reduced, and the energy of the energy storage system is saved.
In some embodiments, the parameter prediction module 503 is configured to:
predicting an nth parameter sum corresponding to each temperature index based on a description equation corresponding to each temperature index, wherein the nth parameter sum is the last parameter sum in the accumulation sequence;
and determining the temperature prediction parameter of the next sampling period corresponding to the temperature index based on the prediction parameter sum.
In some embodiments, the parameter prediction module 503 is configured to:
determining a whitening response equation based on the description equation corresponding to each temperature index, wherein the whitening response equation is used for solving the prediction parameter sum;
based on the whitening response equation, the sum of the nth parameter and the following predicted parameter is solved.
In some embodiments, the expression describing the equation is:wherein->Representing the +.>Parameter sum(s)>Representing the first parameter, ++>Representing a second parameter, t representing time.
In some embodiments, the parameter prediction module 503 is configured to solve the first parameter and the second parameter by:
will beConverting into a reference equation, wherein the expression of the reference equation is as follows:wherein (1)>Represents the k-th parameter sum, < - >Representing the +.>Parameter sum(s)>Representing the +.>A plurality of temperature parameters;
and solving the first parameter and the second parameter based on the reference equation, the temperature parameter in the parameter sequence and the sum of the parameters in the accumulation sequence.
In some embodiments, the parameter prediction module 503 is configured to:
will be%) Defined as->Converting the reference equation into a corresponding matrix;
solving a first parameter and a second parameter by substituting the sum of the temperature parameter in the parameter sequence and the parameter in the accumulation sequence into a matrix;
the matrix expression is as follows:
n is the number of temperature parameters in the parameter sequence.
In some embodiments, the expression of the whitening response equation is as follows:
wherein->Representing the predicted parameters of the model and,represents the 1 st parameter sum, < ->Representing the first parameter, ++>Representing a second parameter, n is the number of temperature parameters in the parameter sequence.
In some embodiments, the parameter prediction module 503 is configured to: and subtracting the predicted parameter from the nth parameter to obtain a temperature predicted parameter of the next sampling period corresponding to the temperature index.
In some embodiments, the at least one temperature indicator comprises an average temperature indicator, the parameter sequence of the average temperature indicator comprises a plurality of average temperatures, the average temperatures being an average of all temperatures acquired in the corresponding sampling period.
In some embodiments, the at least one temperature indicator comprises a maximum temperature indicator, the parameter sequence of the maximum temperature indicator comprising a plurality of maximum temperatures, the maximum temperature being the maximum of all temperatures acquired in the corresponding sampling period.
In some embodiments, the sampling period corresponding to the last temperature parameter in the parameter sequence is the one closest to the current time.
In some embodiments, each temperature parameter in the parameter sequence is positive.
In some embodiments, the sequence acquisition module 501 is configured to:
acquiring temperature parameters of the battery cell under at least one temperature index corresponding to a plurality of sampling periods;
in the process of acquiring the temperature parameter, when the temperature parameter with a negative value is detected, terminating the subsequent process;
and under the condition that each temperature parameter is determined to be positive, the temperature parameters of the same temperature index are formed into a parameter sequence.
As shown in connection with fig. 6, an embodiment of the present disclosure provides a control apparatus 600 for an energy storage system, the control apparatus 600 for an energy storage system including a processor (processor) 601 and a memory (memory) 602. Optionally, the control device 600 may further comprise a communication interface (Communication Interface) 603 and a bus 604. The processor 601, the communication interface 603, and the memory 602 may communicate with each other via the bus 604. The communication interface 603 may be used for information transfer. The processor 601 may invoke logic instructions in the memory 602 to perform the control method for the energy storage system of the above-described embodiments.
Further, the logic instructions in the memory 602 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product.
The memory 602 is a computer readable storage medium that can be used to store a software program, a computer executable program, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 601 executes the functional applications and data processing by running the program instructions/modules stored in the memory 602, i.e. implements the control method for the energy storage system in the above-described embodiments.
The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the terminal device, etc. In addition, the memory 602 may include high-speed random access memory, and may also include non-volatile memory.
Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described control method for an energy storage system.
Embodiments of the present disclosure may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of a method according to embodiments of the present disclosure. While the aforementioned storage medium may be a non-transitory storage medium, such as: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in this application, the terms "comprises," "comprising," and/or "includes," and variations thereof, mean that the stated features, integers, steps, operations, elements, and/or components are present, but that the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof is not precluded. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (17)
1. A control method for an energy storage system, the energy storage system comprising a temperature control device and a battery cell, the control method comprising:
acquiring an accumulation sequence of a parameter sequence of at least one temperature index of the battery core, wherein the parameter sequence comprises temperature parameters corresponding to a plurality of sampling periods respectively, each temperature parameter is determined and obtained based on the temperature acquired in the corresponding sampling period, each temperature parameter in the parameter sequence is arranged according to the time sequence of the corresponding sampling period, the accumulation sequence comprises a plurality of parameter sums, and the kth parameter sum is obtained by accumulating the 1 st temperature parameter to the kth temperature parameter in the parameter sequence;
constructing a description equation for describing an accumulation sequence of the temperature indexes aiming at each temperature index;
based on a description equation corresponding to each temperature index, predicting a temperature prediction parameter of the next sampling period corresponding to the temperature index;
and controlling the temperature control device based on the temperature prediction parameters corresponding to each temperature index.
2. The control method according to claim 1, wherein predicting the temperature prediction parameter of the next sampling period corresponding to each temperature index based on the description equation corresponding to the temperature index, comprises:
Predicting an nth parameter sum corresponding to each temperature index based on a description equation corresponding to each temperature index, wherein the nth parameter sum is the last parameter sum in the accumulation sequence;
and determining the temperature prediction parameter of the next sampling period corresponding to the temperature index based on the prediction parameter sum.
3. The control method according to claim 2, wherein predicting the sum of the nth parameter corresponding to each temperature index and the predicted parameter after the nth parameter corresponding to each temperature index based on the description equation corresponding to each temperature index, comprises:
determining a whitening response equation based on the description equation corresponding to each temperature index, wherein the whitening response equation is used for solving the prediction parameter sum;
based on the whitening response equation, the sum of the nth parameter and the following predicted parameter is solved.
4. The control method according to claim 2, wherein the expression describing the equation is:wherein->Representing the +.>Parameter sum(s)>A first parameter is indicated by the fact that,representing a second parameter, t representing time.
5. The control method according to claim 4, wherein the first parameter and the second parameter are solved by:
Will beConverting into a reference equation, wherein the expression of the reference equation is as follows:represents the k-th parameter sum, < ->Representing the +.>Parameter sum(s)>Representing the +.>A plurality of temperature parameters;
and solving the first parameter and the second parameter based on the reference equation, the temperature parameter in the parameter sequence and the sum of the parameters in the accumulation sequence.
6. The control method according to claim 5, wherein solving the first parameter and the second parameter based on the reference equation, the temperature parameter in the parameter sequence, and the sum of the parameters in the accumulation sequence, comprises:
will be%) Defined as->Converting the reference equation into a corresponding matrix;
solving a first parameter and a second parameter by substituting the sum of the temperature parameter in the parameter sequence and the parameter in the accumulation sequence into a matrix;
the matrix expression is as follows:
n is the number of temperature parameters in the parameter sequence.
7. The control method according to claim 4, wherein the expression of the whitening response equation is as follows:wherein->Representing predicted parameters and->Represents the 1 st parameter sum, < ->Representing the first parameter, ++>Representing a second parameter, n is the number of temperature parameters in the parameter sequence.
8. The control method according to claim 2, wherein determining the temperature prediction parameter of the next sampling period corresponding to the temperature index based on the prediction parameter sum includes: and subtracting the predicted parameter from the nth parameter to obtain a temperature predicted parameter of the next sampling period corresponding to the temperature index.
9. The control method according to any one of claims 1 to 7, characterized in that at least one temperature index comprises an average temperature index, the parameter sequence of the average temperature index comprises a plurality of average temperatures, and the average temperature is an average value of all temperatures acquired in a corresponding sampling period.
10. The control method according to any one of claims 1 to 7, characterized in that at least one temperature index includes a maximum temperature index, the parameter sequence of which includes a plurality of maximum temperatures, the maximum temperature being the maximum value of all temperatures acquired in the corresponding sampling period.
11. A control method according to any one of claims 1 to 7, characterized in that the sampling period corresponding to the last temperature parameter in the sequence of parameters is the one closest to the current moment.
12. The control method according to any one of claims 1 to 7, characterized in that each temperature parameter in the parameter sequence is a positive value.
13. The control method according to any one of claims 1 to 7, characterized by further comprising, before acquiring the accumulated sequence of the parameter sequences of the at least one temperature index of the cells:
acquiring temperature parameters of the battery cell under at least one temperature index corresponding to a plurality of sampling periods;
in the process of acquiring the temperature parameter, when the temperature parameter with a negative value is detected, terminating the subsequent process;
and under the condition that each temperature parameter is determined to be positive, the temperature parameters of the same temperature index are formed into a parameter sequence.
14. A control device for an energy storage system, comprising:
the sequence acquisition module is configured to acquire an accumulated sequence of a parameter sequence of at least one temperature index of the battery cell, wherein the parameter sequence comprises temperature parameters corresponding to a plurality of sampling periods respectively, each temperature parameter is determined and obtained based on the temperature acquired in the corresponding sampling period, each temperature parameter in the parameter sequence is arranged according to the time sequence of the corresponding sampling period, the accumulated sequence comprises a plurality of parameter sums, and the kth parameter sum is obtained by accumulating the 1 st temperature parameter to the kth temperature parameter in the parameter sequence;
An equation construction module configured to construct, for each temperature index, a description equation for describing an accumulated sequence of the temperature index;
the parameter prediction module is configured to predict a temperature prediction parameter of the next sampling period corresponding to each temperature index based on a description equation corresponding to the temperature index;
and the control execution module is configured to control the temperature control device based on the temperature prediction parameters corresponding to each temperature index.
15. A control device for an energy storage system comprising a processor and a memory storing program instructions, characterized in that the processor is configured to execute the control method for an energy storage system according to any one of claims 1 to 13 when running the program instructions.
16. An energy storage system, comprising a temperature control device, a battery cell, and a control device according to claim 14 or 15, wherein the control device is in communication with the temperature control device.
17. A computer readable storage medium storing program instructions which, when executed, are adapted to cause a computer device to carry out a control method for an energy storage system according to any one of claims 1 to 13.
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| WO2022253063A1 (en) * | 2021-06-01 | 2022-12-08 | 上海交通大学 | Method and system for constructing and establishing thermal model of power lithium battery on basis of electrochemical mechanism |
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