CN118094052A - Method for calculating heat productivity of battery cell and computer storage medium - Google Patents
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Abstract
A calculation method of the heat productivity of a battery cell and a computer storage medium, the method comprises: obtaining the heating value of a charging process according to the pre-charge data acquired in the formation stage, wherein the heating value of the charging process is the heating value of the battery cell in the formation stage; obtaining the heat productivity of the discharging process according to the capacity-dividing data acquired in the capacity-dividing stage, wherein the heat productivity of the discharging process is the heat productivity of the battery cell in the capacity-dividing stage; obtaining the total heating value of the battery cell in the charging and discharging process according to the heating value in the charging process and the heating value in the discharging process; the total heating value of the battery cell in the charging and discharging process is calculated based on the data acquired in the formation stage and the capacity-dividing stage, so that other data measurement is not needed, and the timeliness requirement can be well met; and the main error is only the equipment error, and strong assumption of a general simulation model is not needed, so that the calculation error is small.
Description
Technical Field
The invention relates to the technical field of calculation of heat productivity of electric cores, in particular to a calculation method of heat productivity of electric cores and a computer storage medium.
Background
The power battery is used as an electrochemical device, the released heat depends on the chemical, mechanical and electrical nature and characteristics of the battery, especially the nature of electrochemical reaction, the temperature has important influence on the performance and the safety of the battery, and the constant-temperature environment is favorable for keeping the consistency of the performance of the battery in the production process of the battery; the battery core is a chargeable electrochemical component in the battery, the battery core needs to be charged and discharged in the mass production process of the battery so as to ensure the quality and the quality of the battery which is finally produced, and heat is generated due to the electrochemical reaction in the battery core in the charging and discharging process, so that the heat productivity of the battery core, particularly the real-time heat productivity, needs to be calculated, and then the heat productivity is taken away in time through an air conditioning system.
The existing method for calculating the heat productivity of the battery cell generally adopts a simulation model, for example: common Newman models and Bernadi models, which express the calorific value of the battery cell as a mathematical formula through basic physical and electrochemical assumptions and then calculate the calorific value by measuring corresponding parameter values, however, the simulation model method is difficult to use in practice for the following reasons: 1. the assumption of the model is too strong, and is difficult to achieve in actual production, and accurate results are difficult to obtain; 2. the parameters used by the model are often obtained only in a laboratory, but are difficult to measure in a large scale in production, and parameter values cannot be obtained and cannot be calculated.
In order to solve the above problems, methods for calculating the heat generation amount of the battery by measuring the specific heat capacity have been developed, such as: according to the method for measuring the specific heat capacity of the battery by using the material cooling method, which is proposed in the patent document with the application number of CN201811520075.7, the heat generation amount in the charging and discharging processes of the lithium ion battery is calculated according to the specific heat capacity of the lithium ion battery obtained through measurement and calculation; the relation of specific heat capacity is calculated by a data regression method, and the heat productivity of the battery at each moment in the charge and discharge process is calculated by the regression relation; however, the methods all need to measure the specific heat capacity so as to calculate the heat productivity of the battery, and the timeliness requirement cannot be met because the heat productivity of the battery cannot be directly calculated; and the approximation processing is adopted in the method of measuring the data, so that the unavoidable substitution error is adopted, and the calculation accuracy is affected.
Disclosure of Invention
The method provided by the invention can calculate the total heating value of the battery cell in the charging and discharging process according to the pre-charging data acquired in the formation stage and the capacity-dividing data acquired in the capacity-dividing stage.
In a first aspect, an embodiment of the present invention provides a method for calculating a heat productivity of a battery cell, where the method includes: acquiring test data of an electric core, wherein the test data comprises pre-charge data acquired in a formation stage and capacity-dividing data acquired in a capacity-dividing stage; identifying the pre-charge data and the capacity-dividing data from the test data according to a preset label; obtaining the heating value of a charging process according to the pre-charge data, wherein the heating value of the charging process is the heating value of the battery cell in a formation stage; obtaining the heat productivity of a discharging process according to the capacity-dividing data, wherein the heat productivity of the discharging process is the heat productivity of the battery cell in the capacity-dividing stage; and obtaining the total heating value of the battery cell in the charging and discharging process according to the heating value of the charging process and the heating value of the discharging process.
In some embodiments, the obtaining the heating value of the charging process according to the pre-charge data includes: dividing the pre-charge data according to a formation step to obtain a plurality of first pre-charge data segments, wherein the first pre-charge data segments are in one-to-one correspondence with the formation step, and the formation step is divided according to the formation process step of the battery cell; interpolation processing is carried out on the pre-filled data in the first pre-filled data segment to obtain a second pre-filled data segment, and the pre-filled data in the second pre-filled data segment are ordered at preset time intervals; filtering the pre-filled data in the second pre-filled data segment to obtain a third pre-filled data segment; obtaining the pre-charge energy and the pre-charge chemical energy of the battery cell in each formation step according to each third pre-charge data segment; obtaining the heating value of the charging process according to the pre-charging energy and the pre-charging chemical energy of all the formation steps; the method for obtaining the heat productivity of the discharging process according to the capacity-dividing data comprises the following steps: dividing the capacity-dividing data according to capacity-dividing process steps to obtain a plurality of first capacity-dividing data segments, wherein the first capacity-dividing data segments are in one-to-one correspondence with the capacity-dividing process steps, and the capacity-dividing process steps are divided according to the capacity-dividing process steps of the battery cells; performing interpolation processing on the capacity-division data in the first capacity-division data section to obtain a second capacity-division data section, wherein the capacity-division data in the second capacity-division data section are ordered at preset time intervals; performing filtering processing on the capacity-division data in the second capacity-division data section to obtain a third capacity-division data section; according to each third capacity-division data segment, capacity-division electric energy and capacity-division chemical energy of the battery cell in each capacity-division process step are obtained; and obtaining the heating value of the discharging process according to the capacity-dividing electric energy and the capacity-dividing chemical energy of all the capacity-dividing process steps.
In some embodiments, the pre-charge data includes a device voltage and a device current of a formation device corresponding to the formation step, a first capacity variation of the battery cell, and a first voltage variation, where the pre-charge data is data collected according to a preset sampling time in a preset pre-charge working condition time, and the obtaining a heating value of a charging process according to the pre-charge data includes: obtaining the pre-charging energy corresponding to the formation step according to the pre-charging working condition time, the equipment voltage and the equipment current corresponding to the formation step; obtaining total electric energy in a charging process according to the pre-charging energy corresponding to all the formation steps; obtaining the pre-charging chemical energy at the sampling moment according to the first capacity variation and the first voltage variation at the same sampling moment; obtaining the pre-charging chemical energy corresponding to the formation step according to the pre-charging working condition time and the pre-charging chemical energy at the sampling moment corresponding to the formation step; obtaining the total chemical energy of the charging process according to the pre-charging chemical energy corresponding to all the formation steps; and obtaining the heating value of the charging process according to the total electric energy and the total chemical energy of the charging process.
In some embodiments, the precharge energy corresponding to the formation step may be calculated by: Wherein E Electric power (t) is the pre-charge energy corresponding to the formation step, U 1 is the equipment voltage, I 1 is the equipment current, t is the sampling time, and t 0-t1 is the pre-charge working condition time; the total electrical energy of the charging process can be calculated by: /(I) Wherein E Total electricity is the total electric energy of the charging process, i is the formation step, and E Electric power i is the precharge energy of the ith formation step; the pre-charge chemical energy at the sampling instant can be calculated by: e Chemical treatment 1(t)＝C1(t)*U1 (t), where E Chemical treatment 1 (t) is the precharge energy at the sampling time, U 1 () is the first voltage variation, C 1 () is the first capacity variation, and t is the sampling time; the pre-charge chemical energy corresponding to the chemical formation step can be calculated by the following method: /(I)Wherein E Chemical treatment 2 is the pre-charge chemical energy corresponding to the chemical conversion step, j is the sampling time included in the pre-charge working condition time, and E Chemical treatment 1j is the pre-charge chemical energy of the j-th sampling time; the total chemical energy of the charging process can be calculated by: /(I)Wherein E Totalizing is the total chemical energy of the charging process, s is the number of the formation steps, and E Chemical treatment 2s is the pre-charging chemical energy of the s-th formation step; the charging process heating value may be calculated by: q Pre-charging heat ＝E Total electricity -E Totalizing , wherein Q Pre-charging heat is the heating value of the charging process, E Total electricity is the total electric energy of the charging process, and E Totalizing is the total chemical energy of the charging process.
In some embodiments, the capacity-dividing data includes voltage and output current of the battery cell, a second capacity variation of the battery cell, and a second voltage variation corresponding to the capacity-dividing step, where the capacity-dividing data is data collected according to a preset sampling time in a preset capacity-dividing working condition time, and the obtaining, according to the capacity-dividing data, a heating value in a discharging process includes: obtaining capacity-dividing electric energy corresponding to the capacity-dividing working step according to the capacity-dividing working condition time, the voltage and the output current corresponding to the capacity-dividing working step; obtaining total electric energy in a discharging process according to the capacity-dividing electric energy corresponding to all the capacity-dividing process steps; obtaining the capacity-division chemical energy of the sampling moment according to the second capacity variation and the second voltage variation at the same sampling moment; obtaining the capacity-dividing chemical energy corresponding to the capacity-dividing process step according to the capacity-dividing chemical energy of the pre-charging working condition time and the sampling time corresponding to the capacity-dividing process step; obtaining total chemical energy of the discharging process according to the capacity-dividing chemical energy corresponding to all the capacity-dividing process steps; and obtaining the heating value of the discharging process according to the total electric energy and the total chemical energy of the discharging process.
In some embodiments, the capacity-dividing electrical energy corresponding to the capacity-dividing step may be calculated by: Wherein F Electric power (t) is the capacity-dividing electric energy corresponding to the capacity-dividing step, U 2 is the voltage, I 2 is the output current, t is the sampling time, and t 2-t3 is the capacity-dividing working condition time; the total electrical energy of the discharge process can be calculated by: /(I) Wherein F Total electricity is the total electric energy of the discharging process, i is the number of the capacity-dividing steps, and F Electric power i is the capacity-dividing electric energy of the ith capacity-dividing step; the volumetric chemical energy at the sampling instant can be calculated by: f Chemical treatment 1(t)＝C2(t)*U2 (t), wherein F Chemical treatment 1 (t) is the precharge energy, U 2 () is the second voltage variation, C 2 () is the second capacity variation, and t is a sampling time; the capacity-dividing chemical energy corresponding to the capacity-dividing process step can be calculated by the following modes: Wherein, F Chemical treatment 2 is the capacity-dividing chemical energy corresponding to the capacity-dividing working step, n is the sampling time included in the capacity-dividing working condition time, E Chemical treatment 1n is the pre-charging chemical energy of the nth sampling time; the total chemical energy of the discharge process can be calculated by: /(I) Wherein F Totalizing is the total chemical energy of the discharge process, m is the number of the capacity-dividing steps, and F Chemical treatment 2m is the capacity-dividing chemical energy of the mth capacity-dividing step; the discharge process heating value can be calculated by: q Heat of partial volume ＝F Totalizing -F Total electricity , wherein Q Heat of partial volume is the heat productivity of the discharging process, F Total electricity is the total electric energy of the discharging process, and F Totalizing is the total chemical energy of the discharging process.
In some embodiments, the total heating value may be calculated by: q Total (S) ＝Q Pre-charging heat +Q Heat of partial volume , wherein Q Total (S) is the total heating value, Q Pre-charging heat is the heating value in the charging process, and Q Heat of partial volume is the heating value in the discharging process.
In some embodiments, the cell is any cell in a battery tray, the method further comprising: acquiring test data sets of all the battery cells in a battery tray, wherein the test data sets comprise the test data of each battery cell; judging whether the test data set meets a preset condition or not; if yes, extracting the test data of any cell from the test data set according to a preset cell number; if not, carrying out exception prompt; the judging whether the test data set meets the preset condition comprises the following steps: detecting whether empty values and/or abnormal values exist in the test data set; if not, the test data set meets the preset condition; if so, the test data set does not meet the preset condition.
In some embodiments, further comprising: obtaining the heating values of all the battery cells in the battery tray according to the total heating value; the heat productivity of all the cells in the battery tray can be calculated by the following ways: q All-around ＝Q Total (S) is multiplied by S, wherein Q All-around is the heating value of all the battery cells in the battery tray, Q Total (S) is the total heating value, and S is the number of the battery cells in the battery tray.
In a second aspect, another embodiment of the present invention provides a computer storage medium, where a program is stored, where the program is executed by a processor to implement a method as described above.
According to the method of the embodiment, the total heating value of the battery cell in the charge and discharge process is calculated based on the test data collected in the formation stage and the capacity-division stage, other data measurement is not needed, the timeliness requirement can be well met, the main error is only the equipment error, strong assumption of a general simulation model is not needed, and the calculation error is small.
Drawings
FIG. 1 is a timing diagram of the current and voltage of a chemical-mechanical device tested in a chemical-mechanical stage according to one embodiment;
FIG. 2 is a timing diagram of the current and voltage of the battery cell tested in the capacity-partitioning stage according to one embodiment;
FIG. 3 is a flowchart of a method for calculating the heat productivity of a battery cell according to the present invention;
FIG. 4 is a flow chart of an embodiment for deriving a heating value of a charging process based on pre-charge data;
FIG. 5 is a flow chart of a method for generating heat during a discharge process based on volumetric data according to an embodiment;
FIG. 6 is a flowchart of obtaining a heating value of a charging process according to pre-charge data according to another embodiment;
FIG. 7 is a flowchart of a method for generating heat during a discharging process according to volumetric data according to another embodiment;
FIG. 8 is a flow chart of test dataset anomaly determination for one embodiment;
FIG. 9 is a flowchart of an embodiment for determining whether a test data set satisfies a preset condition;
fig. 10 is a block diagram of a computer storage medium according to the present invention.
Detailed Description
The application will be described in further detail below with reference to the drawings by means of specific embodiments. Wherein like elements in different embodiments are numbered alike in association. In the following embodiments, numerous specific details are set forth in order to provide a better understanding of the present application. However, one skilled in the art will readily recognize that some of the features may be omitted, or replaced by other elements, materials, or methods in different situations. In some instances, related operations of the present application have not been shown or described in the specification in order to avoid obscuring the core portions of the present application, and may be unnecessary to persons skilled in the art from a detailed description of the related operations, which may be presented in the description and general knowledge of one skilled in the art.
Furthermore, the described features, operations, or characteristics of the description may be combined in any suitable manner in various embodiments. Also, various steps or acts in the method descriptions may be interchanged or modified in a manner apparent to those of ordinary skill in the art. Thus, the various orders in the description and drawings are for clarity of description of only certain embodiments, and are not meant to be required orders unless otherwise indicated.
The numbering of the components itself, e.g. "first", "second", etc., is used herein merely to distinguish between the described objects and does not have any sequential or technical meaning.
In the formation stage of the battery, the test instrument is adopted to test the pre-charge data in real time, the pre-charge data comprise data such as equipment voltage and equipment current of the formation equipment, first capacity variation of the battery core, first voltage variation, temperature and sampling time, and the like, in the capacity division stage, the test instrument is adopted to test the capacity division data in real time, the capacity division data comprise data such as voltage and output current of the battery core, second capacity variation of the battery core, second voltage variation, temperature and sampling time, and the like, fig. 1 shows a time chart of the current and the voltage of the formation equipment tested in the formation stage, fig. 2 shows a time chart of the current and the voltage of the battery core tested in the capacity division stage, and the inventor finds that the heating value in the mass production process of the battery is mainly from heat generated due to energy loss in the conversion process of the electric energy and chemical energy in the formation stage, and the heating value in the capacity division stage can calculate the charging process and the heating value of the discharging process in real time and accuracy based on the test data of the formation and capacity division stage, so as to obtain the total heating value of the battery.
The method provided by the invention is used for calculating the total heating value of the battery cell in the charge and discharge process based on the test data collected in the formation stage and the capacity-dividing stage, so that other data measurement is not needed, and the timeliness requirement can be well met; and the main error is only the equipment error, and strong assumption of a general simulation model is not needed, so that the calculation error is small.
Referring to fig. 3, in an embodiment of the present invention, a method for calculating a heat productivity of a battery cell is provided, the method includes:
And S10, acquiring test data of the battery cell, wherein the test data comprises pre-charge data acquired in a formation stage and capacity-dividing data acquired in a capacity-dividing stage.
In some embodiments, the formation and capacity-division stages are essential steps in the preparation of the battery, where the battery is charged with a small current for the first time, and the purpose of the formation is to transform the battery from a stack of materials into a stable electrochemical system; the capacity-dividing stage of the battery is to determine the capacity of the battery by discharging the battery.
And S20, identifying the pre-charge data and the capacity-dividing data from the test data according to the preset label.
In some embodiments, different labels are added to the pre-charge data and the volumetric data in order to facilitate distinguishing the pre-charge data from the volumetric data in subsequent processing when generating the test data.
In some embodiments, as shown in fig. 4, the obtaining the heating value of the charging process according to the pre-charge data includes:
And S210, dividing the pre-charge data according to the formation process steps to obtain a plurality of first pre-charge data segments, wherein the first pre-charge data segments correspond to the formation process steps one by one, and the formation process steps are divided according to the formation process steps of the battery cells.
In some embodiments, the formation stage sequentially comprises six formation steps of standing, constant current charging, standing, constant current charging and constant voltage charging.
And S211, interpolation processing is carried out on the pre-filled data in the first pre-filled data segment to obtain a second pre-filled data segment, and the pre-filled data in the second pre-filled data segment are ordered at preset time intervals.
In some embodiments, the first pre-charge data segment includes data of a device voltage and a device current of the formation device, a first capacity change amount and a first voltage change amount of the battery cell, a temperature, a sampling time, and the like.
And S212, filtering the pre-filled data in the second pre-filled data segment to obtain a third pre-filled data segment.
S213, according to each third pre-charge data segment, the pre-charge energy and the pre-charge chemical energy of the battery cell in each formation step are obtained.
And S214, obtaining the heating value in the charging process according to the pre-charging energy and the pre-charging chemical energy of all the formation steps. In some embodiments, as shown in fig. 5, obtaining the heat value of the discharging process according to the volumetric data includes:
And S220, dividing the capacity-dividing data according to the capacity-dividing process steps to obtain a plurality of first capacity-dividing data segments, wherein the first capacity-dividing data segments correspond to the capacity-dividing process steps one by one, and the capacity-dividing process steps are divided according to the capacity-dividing process steps of the battery cells.
In some embodiments, the capacity-partitioning phase includes eight capacity-partitioning steps, wherein: the capacity-dividing steps 3,5 and 7 are constant-current discharge, the capacity-dividing steps 2,4,6 and 8 are standing, and the capacity-dividing step 1 is not needed to be considered in the embodiment because capacity-dividing data of the capacity-dividing step 1 are not generated in data acquisition and the capacity-dividing data of the capacity-dividing step 1 have little influence on the heating value in the discharging process.
S221, carrying out interpolation processing on the capacity-division data in the first capacity-division data section to obtain a second capacity-division data section, and sequencing the capacity-division data in the second capacity-division data section at preset time intervals.
In some embodiments, the first capacity-division data segment includes data such as voltage and output current of the battery cell, second capacity variation and second voltage variation of the battery cell, temperature, sampling time, and the like.
And S222, filtering the capacity-division data in the second capacity-division data section to obtain a third capacity-division data section.
And S223, according to each third capacity-division data section, obtaining capacity-division electric energy and capacity-division chemical energy of the battery cell in each capacity-division process step.
And S224, obtaining the heating value in the discharging process according to the capacity-dividing electric energy and the capacity-dividing chemical energy of all the capacity-dividing steps.
Because the values read by the test instrument are discrete, and even if the time intervals for reading the values are set to be equal, it cannot be guaranteed that the value intervals are exactly equal, in some embodiments, the interpolation process is performed on the pre-charge data in the first pre-charge data segment/the partial volume data in the first partial volume data segment, and then the filtering process is performed, for example: all the pre-filled data in the first pre-filled data segment are adjusted to be at intervals of 1 second, and the pre-filled data in the second pre-filled data segment is subjected to filtering processing, so that most of noise of the pre-filled data in the second pre-filled data segment can be removed, and the noise becomes smooth.
And S30, obtaining the heating value of the charging process according to the pre-charge data, wherein the heating value of the charging process is the heating value of the battery cell in the formation stage.
In some embodiments, since the formation stage is to charge the manufactured battery with a small current, i.e. a process of converting electric energy into chemical energy, the heating value in the charging process is mainly generated by the heat generated by the energy loss when the electric energy is converted into chemical energy.
In some embodiments, the pre-charge data includes a device voltage and a device current of a formation device corresponding to a formation step, a first capacity variation of a battery cell, and a first voltage variation, where the pre-charge data is data collected according to a preset sampling time in a preset pre-charge working condition time, and a heating value of a charging process is obtained according to the pre-charge data, as shown in fig. 5, including:
s31, obtaining the pre-charging energy corresponding to the formation step according to the pre-charging working condition time, the equipment voltage and the equipment current corresponding to the formation step.
In some embodiments, the precharge energy corresponding to the formation step may be calculated by:
Wherein E Electric power (t) is the pre-charge energy corresponding to the formation step, U 1 is the equipment voltage, I 1 is the equipment current, t is the sampling time, and t 0-t1 is the pre-charge working condition time.
S32, obtaining the total electric energy in the charging process according to the pre-charging energy corresponding to all the formation steps.
In some embodiments, the total electrical energy of the charging process may be calculated by:
Wherein E Total electricity is the total electric energy in the charging process, i is the formation step, and E Electric power i is the pre-charging energy in the ith formation step.
S33, obtaining the pre-charge chemical energy at the sampling moment according to the first capacity variation and the first voltage variation at the same sampling moment.
In some embodiments, the pre-charge chemical energy at the sampling instant may be calculated by:
E Chemical treatment 1(t)＝C1(t)*U1(t)
Wherein E Chemical treatment 1 (t) is the precharge energy at the sampling time, U 1 () is the first voltage variation, C 1 () is the first capacity variation, and t is the sampling time.
S34, obtaining the pre-charging chemical energy corresponding to the formation step according to the pre-charging working condition time and the pre-charging chemical energy at the sampling time corresponding to the formation step.
In some embodiments, the pre-charge chemical energy corresponding to the formation step may be calculated by:
wherein E Chemical treatment 2 is the pre-charge chemical energy corresponding to the formation step, j is the sampling time included in the pre-charge working condition time, and E Chemical treatment 1j is the pre-charge chemical energy of the j-th sampling time.
And S35, obtaining the total chemical energy in the charging process according to the pre-charging chemical energy corresponding to all the formation steps.
In some embodiments, the total chemical energy of the charging process may be calculated by:
wherein E Totalizing is the total chemical energy of the charging process, s is the number of the formation steps, and E Chemical treatment 2s is the pre-charging chemical energy of the s-th formation step.
And S36, obtaining the heating value of the charging process according to the total electric energy and the total chemical energy of the charging process.
In some embodiments, the charging process heating value may be calculated by:
Q Pre-charging heat ＝E Total electricity -E Totalizing (3)
Wherein, Q Pre-charging heat is the heating value of the charging process, E Total electricity is the total electric energy of the charging process, and E Totalizing is the total chemical energy of the charging process.
And S40, obtaining the heat productivity of the discharging process according to the capacity-dividing data, wherein the heat productivity of the discharging process is the heat productivity of the battery cell in the capacity-dividing stage.
In some embodiments, since the volumetric phase is a process of converting chemical energy into electrical energy, the heat generated by the discharge process is mainly due to heat generated by the energy loss of chemical energy into electrical energy.
In some embodiments, the capacity-dividing data includes voltage and output current of the battery cell corresponding to the capacity-dividing step, a second capacity variation of the battery cell, and a second voltage variation, where the capacity-dividing data is data collected according to a preset sampling time in a preset capacity-dividing working condition time, and the heat productivity of the discharging process is obtained according to the capacity-dividing data, as shown in fig. 7, including:
And S41, obtaining the capacity-dividing electric energy corresponding to the capacity-dividing process step according to the capacity-dividing working condition time, the voltage and the output current corresponding to the capacity-dividing process step.
In some embodiments, the capacity-dividing power corresponding to the capacity-dividing step may be calculated by:
Wherein F Electric power (t) is the capacity-dividing electric energy corresponding to the capacity-dividing step, U 2 is voltage, I 2 is output current, t is sampling time, and t 2-t3 is capacity-dividing working condition time.
S42, obtaining total electric energy in the discharging process according to the capacity-dividing electric energy corresponding to all the capacity-dividing steps.
In some embodiments, the total electrical energy of the discharge process may be calculated by:
wherein F Total electricity is total electric energy in the discharging process, i is the number of capacity-dividing steps, and F Electric power i is capacity-dividing electric energy in the ith capacity-dividing step.
S43, obtaining the capacity-division chemical energy at the sampling moment according to the second capacity variation and the second voltage variation at the same sampling moment.
In some embodiments, the volumetric chemical energy at the sampling time may be calculated by:
F Chemical treatment 1(t)＝C2(t)*U2(t)
wherein F Chemical treatment 1 (t) is the precharge energy, U 2 () is the second voltage variation, C 2 () is the second capacity variation, and t is the sampling time.
And S44, obtaining the capacity-dividing chemical energy corresponding to the capacity-dividing process step according to the capacity-dividing chemical energy of the pre-charging working condition time and the sampling time corresponding to the capacity-dividing process step.
In some embodiments, the volumetric chemical energy corresponding to the volumetric process step may be calculated by:
Wherein F Chemical treatment 2 is the capacity-dividing chemical energy corresponding to the capacity-dividing working step, n is the sampling time included in the capacity-dividing working condition time, and E Chemical treatment 1n is the pre-charging chemical energy of the nth sampling time.
S45, obtaining the total chemical energy of the discharge process according to the capacity-dividing chemical energy corresponding to all the capacity-dividing steps.
In some embodiments, the total chemical energy of the discharge process can be calculated by:
Wherein F Totalizing is the total chemical energy of the discharge process, m is the number of capacity-dividing steps, and F Chemical treatment 2m is the capacity-dividing chemical energy of the mth capacity-dividing step.
And S46, obtaining the heating value of the discharge process according to the total electric energy and the total chemical energy of the discharge process.
In some embodiments, the discharge process heating value may be calculated by:
Q Heat of partial volume ＝F Totalizing -F Total electricity (6)
Wherein, Q Heat of partial volume is the heat productivity of the discharge process, F Total electricity is the total electric energy of the discharge process, and F Totalizing is the total chemical energy of the discharge process.
And S50, obtaining the total heating value of the battery cell in the charging and discharging process according to the heating value in the charging process and the heating value in the discharging process.
In some embodiments, the total heating value may be calculated by:
Q Total (S) ＝Q Pre-charging heat +Q Heat of partial volume (7)
Wherein Q Total (S) is the total heat generation amount, Q Pre-charging heat is the charge process heat generation amount, and Q Heat of partial volume is the discharge process heat generation amount.
In some embodiments, the total electrical energy involved in the charging and discharging process of the battery cell can be obtained according to the total electrical energy in the charging process and the total electrical energy in the discharging process, and the total electrical energy involved in the charging and discharging process can be obtained by the following ways:
D Total (S) ＝F Total electricity +E Total electricity (8)
Wherein D Total (S) is total electric energy, E Total electricity is total electric energy during charging process, and F Total electricity is total electric energy during discharging process.
The foregoing calculation method is described below by taking a cell as an example, table 1 shows the pre-charge energy and the corresponding pre-charge chemical energy corresponding to the formation steps 2-6 of the cell in the formation stage, and the integration interval when the pre-charge energy is calculated is a pre-charge working condition time interval, where the pre-charge working condition time unit is seconds; table 2 shows the capacity-dividing electric energy and the corresponding capacity-dividing chemical energy corresponding to the capacity-dividing steps 2-8 of the battery cell in the capacity-dividing stage, and the integral interval when the capacity-dividing electric energy is calculated is the capacity-dividing working condition time interval, and the capacity-dividing working condition time unit is seconds.
TABLE 1
TABLE 2
According to the data in the table 1 and the formula (1), the total electric energy of the battery core in the charging process is 22.2585wh, the total chemical energy of the battery core in the charging process is 20.4123wh according to the formula (2), and the heating value of the battery core in the charging process is 1.8462wh according to the formula (3); according to the data in the table 2 and the formula (4), the total electric energy of the battery cell in the discharging process is 25.7250wh, the total chemical energy of the battery cell in the discharging process is 25.7813wh, the heat productivity of the battery cell in the discharging process is 0.0563wh according to the formula (6), the total heat productivity of the battery cell in the charging and discharging process is 1.9025wh according to the formula (7), and the total electric energy of the battery cell in the charging and discharging process is 47.9835wh according to the formula (8); it should be noted that: the formation step 1 is standing, and the pre-charging data of the formation step 1 has no influence on the heating value in the charging process, so that the pre-charging energy and the pre-charging chemical energy of the formation step 1 do not need to be calculated; since there is no capacity-dividing data of the capacity-dividing step 1 during data acquisition and the capacity-dividing data of the capacity-dividing step 1 has no influence on the heating value in the discharging process, there is no need to calculate the capacity-dividing electric energy and the capacity-dividing chemical energy of the capacity-dividing step 1.
In some embodiments, the evaluation of the energy conversion rate of the cell may be performed according to the results obtained in formulas (7) and (8), such as: under the conditions that the total heating value of the battery core in the charging and discharging process is 1.9025wh and the total electric quantity in the charging and discharging process is 47.9835wh, the lost heat is about 4% -6% of the electric energy in the whole charging and discharging process, and the battery core meets the industry standard, namely the energy conversion rate is between 85% -95%.
In some embodiments, the battery cell is any battery cell in a battery tray, as shown in fig. 8, and the method further includes:
s60, acquiring test data sets of all the battery cells in the battery tray, wherein the test data sets comprise test data of each battery cell.
S61, judging whether the test data set meets the preset condition.
In order to ensure the effectiveness of the calculation of the total heating value, the data of each cell in the formation stage must be complete, so some embodiments set an anomaly judgment in the calculation, consider the test data set to satisfy the preset condition if there is no anomaly, otherwise, not satisfy the preset condition.
In some embodiments, determining whether the test dataset satisfies a preset condition, as shown in fig. 9, includes:
s610, detecting whether there is a null value and/or an outlier in the test dataset.
In some embodiments, because there are null values and/or abnormal values in the test data set due to human beings, equipment faults, etc., the null values and/or abnormal values affect the effectiveness of the calculation of the total heating value, it is necessary to detect whether there are null values and/or abnormal values in the test data set.
S611, if the test data set does not exist, the test data set meets the preset condition.
And S612, if the test data set exists, the test data set does not meet the preset condition.
And S62, if the test data of any battery cell is met, extracting the test data of any battery cell from the test data set according to the preset battery cell number.
In some embodiments, the working conditions of the cells in the same battery tray are considered to be consistent, after the test data set is judged to meet the preset condition, test data of any cell can be extracted from the test data set to calculate total heat productivity, and then the heat productivity of all cells in the battery tray is calculated through the total heat productivity of the cell.
And S63, if the result is not met, carrying out abnormality prompt.
In some embodiments, the method further comprises: obtaining the heating value of all the electric cores in the battery tray according to the total heating value; the heat generation of all the cells in the battery tray can be calculated by:
Q All-around ＝Q Total (S) ×S
Wherein, Q All-around is the heating value of all the cells in the battery tray, Q Total (S) is the total heating value, and S is the number of cells in the battery tray.
As shown in fig. 10, another embodiment of the present invention provides a computer storage medium, on which a program is stored in the storage medium 100, which when executed by the processor 200 implements the method as described above.
The foregoing description of the invention has been presented for purposes of illustration and description, and is not intended to be limiting. Several simple deductions, modifications or substitutions may also be made by a person skilled in the art to which the invention pertains, based on the idea of the invention.
Claims (10)
1. A method for calculating the amount of heat generated by a cell, the method comprising:
Acquiring test data of an electric core, wherein the test data comprises pre-charge data acquired in a formation stage and capacity-dividing data acquired in a capacity-dividing stage;
identifying the pre-charge data and the capacity-dividing data from the test data according to a preset label;
obtaining the heating value of a charging process according to the pre-charge data, wherein the heating value of the charging process is the heating value of the battery cell in a formation stage;
obtaining the heat productivity of a discharging process according to the capacity-dividing data, wherein the heat productivity of the discharging process is the heat productivity of the battery cell in the capacity-dividing stage;
And obtaining the total heating value of the battery cell in the charging and discharging process according to the heating value of the charging process and the heating value of the discharging process.
2. The method of claim 1, wherein deriving a charging process heating value from the pre-charge data comprises:
Dividing the pre-charge data according to a formation step to obtain a plurality of first pre-charge data segments, wherein the first pre-charge data segments are in one-to-one correspondence with the formation step, and the formation step is divided according to the formation process step of the battery cell;
interpolation processing is carried out on the pre-filled data in the first pre-filled data segment to obtain a second pre-filled data segment, and the pre-filled data in the second pre-filled data segment are ordered at preset time intervals;
filtering the pre-filled data in the second pre-filled data segment to obtain a third pre-filled data segment;
Obtaining the pre-charge energy and the pre-charge chemical energy of the battery cell in each formation step according to each third pre-charge data segment;
Obtaining the heating value of the charging process according to the pre-charging energy and the pre-charging chemical energy of all the formation steps;
the method for obtaining the heat productivity of the discharging process according to the capacity-dividing data comprises the following steps:
Dividing the capacity-dividing data according to capacity-dividing process steps to obtain a plurality of first capacity-dividing data segments, wherein the first capacity-dividing data segments are in one-to-one correspondence with the capacity-dividing process steps, and the capacity-dividing process steps are divided according to the capacity-dividing process steps of the battery cells;
performing interpolation processing on the capacity-division data in the first capacity-division data section to obtain a second capacity-division data section, wherein the capacity-division data in the second capacity-division data section are ordered at preset time intervals;
performing filtering processing on the capacity-division data in the second capacity-division data section to obtain a third capacity-division data section;
according to each third capacity-division data segment, capacity-division electric energy and capacity-division chemical energy of the battery cell in each capacity-division process step are obtained;
and obtaining the heating value of the discharging process according to the capacity-dividing electric energy and the capacity-dividing chemical energy of all the capacity-dividing process steps.
3. The method of claim 2, wherein the pre-charge data includes a device voltage and a device current of a formation device corresponding to the formation step, a first capacity variation of the battery cell, and a first voltage variation, the pre-charge data is data collected according to a preset sampling time in a preset pre-charge working condition time, and the obtaining a heating value of a charging process according to the pre-charge data includes:
obtaining the pre-charging energy corresponding to the formation step according to the pre-charging working condition time, the equipment voltage and the equipment current corresponding to the formation step;
Obtaining total electric energy in a charging process according to the pre-charging energy corresponding to all the formation steps;
Obtaining the pre-charging chemical energy at the sampling moment according to the first capacity variation and the first voltage variation at the same sampling moment;
obtaining the pre-charging chemical energy corresponding to the formation step according to the pre-charging working condition time and the pre-charging chemical energy at the sampling moment corresponding to the formation step;
Obtaining the total chemical energy of the charging process according to the pre-charging chemical energy corresponding to all the formation steps;
And obtaining the heating value of the charging process according to the total electric energy and the total chemical energy of the charging process.
4. A method according to claim 3, wherein the precharge energy corresponding to the formation step is calculated by:
Wherein E Electric power (t) is the pre-charge energy corresponding to the formation step, U 1 is the equipment voltage, I 1 is the equipment current, t is the sampling time, and t 0-t1 is the pre-charge working condition time;
The total electrical energy of the charging process can be calculated by:
Wherein E Total electricity is the total electric energy of the charging process, i is the formation step, and E Electric power i is the precharge energy of the ith formation step;
the pre-charge chemical energy at the sampling instant can be calculated by:
E Chemical treatment 1(t)＝C1(t)*U1(t)
Wherein E Chemical treatment 1 (t) is the precharge energy at the sampling time, U 1 () is the first voltage variation, C 1 () is the first capacity variation, and t is the sampling time;
The pre-charge chemical energy corresponding to the chemical formation step can be calculated by the following method:
Wherein E Chemical treatment 2 is the pre-charge chemical energy corresponding to the chemical conversion step, j is the sampling time included in the pre-charge working condition time, and E Chemical treatment 1j is the pre-charge chemical energy of the j-th sampling time;
the total chemical energy of the charging process can be calculated by:
Wherein E Totalizing is the total chemical energy of the charging process, s is the number of the formation steps, and E Chemical treatment 2s is the pre-charging chemical energy of the s-th formation step;
The charging process heating value may be calculated by:
Q Pre-charging heat ＝E Total electricity -E Totalizing
Wherein, Q Pre-charging heat is the heating value of the charging process, E Total electricity is the total electric energy of the charging process, and E Totalizing is the total chemical energy of the charging process.
5. The method of claim 2, wherein the capacity-division data includes a voltage and an output current of the battery cell, a second capacity variation of the battery cell, and a second voltage variation corresponding to the capacity-division step, the capacity-division data is data collected according to a preset sampling time in a preset capacity-division working condition time, and the obtaining a heat value in a discharging process according to the capacity-division data includes:
Obtaining capacity-dividing electric energy corresponding to the capacity-dividing working step according to the capacity-dividing working condition time, the voltage and the output current corresponding to the capacity-dividing working step;
obtaining total electric energy in a discharging process according to the capacity-dividing electric energy corresponding to all the capacity-dividing process steps;
Obtaining the capacity-division chemical energy of the sampling moment according to the second capacity variation and the second voltage variation at the same sampling moment;
Obtaining the capacity-dividing chemical energy corresponding to the capacity-dividing process step according to the capacity-dividing chemical energy of the pre-charging working condition time and the sampling time corresponding to the capacity-dividing process step;
Obtaining total chemical energy of the discharging process according to the capacity-dividing chemical energy corresponding to all the capacity-dividing process steps;
And obtaining the heating value of the discharging process according to the total electric energy and the total chemical energy of the discharging process.
6. The method of claim 5, wherein the capacity-division power corresponding to the capacity-division process step is calculated by:
Wherein F Electric power (t) is the capacity-dividing electric energy corresponding to the capacity-dividing step, U 2 is the voltage, I 2 is the output current, t is the sampling time, and t 2-t3 is the capacity-dividing working condition time;
the total electrical energy of the discharge process can be calculated by:
Wherein F Total electricity is the total electric energy of the discharging process, i is the number of the capacity-dividing steps, and F Electric power i is the capacity-dividing electric energy of the ith capacity-dividing step;
The volumetric chemical energy at the sampling instant can be calculated by:
F Chemical treatment 1(t)＝C2(t)*U2(t)
Wherein F Chemical treatment 1 (t) is the precharge energy, U 2 () is the second voltage variation, C 2 () is the second capacity variation, and t is a sampling time;
the capacity-dividing chemical energy corresponding to the capacity-dividing process step can be calculated by the following modes:
Wherein, F Chemical treatment 2 is the capacity-dividing chemical energy corresponding to the capacity-dividing working step, n is the sampling time included in the capacity-dividing working condition time, E Chemical treatment 1n is the pre-charging chemical energy of the nth sampling time;
the total chemical energy of the discharge process can be calculated by:
Wherein F Totalizing is the total chemical energy of the discharge process, m is the number of the capacity-dividing steps, and F Chemical treatment 2m is the capacity-dividing chemical energy of the mth capacity-dividing step;
The discharge process heating value can be calculated by:
Q Heat of partial volume ＝F Totalizing -F Total electricity
Wherein, Q Heat of partial volume is the heat productivity of the discharge process, F Total electricity is the total electrical energy of the discharge process, and F Totalizing is the total chemical energy of the discharge process.
7. The method of claim 1, wherein the total heating value is calculated by:
Q Total (S) ＝Q Pre-charging heat +Q Heat of partial volume
Wherein Q Total (S) is the total heating value, Q Pre-charging heat is the heating value in the charging process, and Q Heat of partial volume is the heating value in the discharging process.
8. The method of claim 1, wherein the cell is any cell in a battery tray, the method further comprising:
Acquiring test data sets of all the battery cells in a battery tray, wherein the test data sets comprise the test data of each battery cell;
judging whether the test data set meets a preset condition or not;
if yes, extracting the test data of any cell from the test data set according to a preset cell number;
if not, carrying out exception prompt;
the judging whether the test data set meets the preset condition comprises the following steps:
Detecting whether empty values and/or abnormal values exist in the test data set;
if not, the test data set meets the preset condition;
if so, the test data set does not meet the preset condition.
9. The method as recited in claim 8, further comprising: obtaining the heating values of all the battery cells in the battery tray according to the total heating value; the heat productivity of all the cells in the battery tray can be calculated by the following ways:
Q All-around ＝Q Total (S) ×S
Wherein Q All-around is the heat productivity of all the battery cells in the battery tray, Q Total (S) is the total heat productivity, and S is the number of the battery cells in the battery tray.
10. A computer storage medium having a program stored thereon, which when executed by a processor, implements the method of any of claims 1-9.
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