Methods, devices, electronic equipment, and storage media for predicting battery heat generation power.

Abstract

This application provides a method, apparatus, electronic device, and storage medium for predicting battery heat generation power. It acquires multiple first average heat generation powers of the battery when charged and discharged at different rates at a target temperature, and multiple second average heat generation powers of the battery when charged and discharged at the target rate at different temperatures. The target temperature includes the middle temperature of the battery's operating temperature range, and the target rate includes the rate at the middle position of the battery's rate range and the rate at the beginning and / or end positions. The multiple first average heat generation powers and multiple second average heat generation powers are fitted to obtain a relationship between the heat generation power of the battery when charged and discharged at different rates at different temperatures. Based on the obtained heat generation power relationship, the heat generation power of the battery when charged and discharged at any rate at any temperature is determined. This application can save testing time and resources while ensuring prediction accuracy.

Description

Technical Field

[0001] This application relates to the field of lithium battery technology, and more specifically, to a method, apparatus, electronic device, and storage medium for predicting battery heat generation power. Background Technology

[0002] The performance and lifespan of lithium batteries are highly sensitive to temperature, and the heat generation power during battery operation is a crucial factor affecting battery temperature. In practical applications, appropriate thermal management strategies need to be developed based on the battery's heat generation power to ensure operation within a safe temperature range. Therefore, obtaining the lithium battery's heat generation power is of great significance for battery thermal management.

[0003] In existing technologies, because the heat generation power of lithium batteries varies at different temperatures and at different charge / discharge rates, the heat generation power of lithium batteries at each different temperature and at each different charge / discharge rate must be measured separately. This results in testers spending a lot of time measuring the heat generation power of lithium batteries at different temperatures and at different charge / discharge rates, which not only wastes test resources but also leads to low measurement efficiency of battery heat generation power. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a method, apparatus, electronic device and storage medium for predicting battery heat generation power, which can save test time and test resources while ensuring prediction accuracy, thereby improving the measurement efficiency of battery heat generation power.

[0005] In a first aspect, embodiments of this application provide a method for predicting the heat generation power of a battery, the method comprising:

[0006] The method acquires multiple first average heat generation powers of the battery when it is charged and discharged at different rates at a target temperature, and multiple second average heat generation powers of the battery when it is charged and discharged at a target rate at different temperatures; wherein the target temperature includes the middle temperature of the operating temperature range corresponding to the battery, and the target rate includes the rate at the middle position of the rate range corresponding to the battery, and the rate at the beginning and / or the end position.

[0007] By fitting the plurality of first average heat generation power and the plurality of second average heat generation power, the heat generation power relationship of the battery when charged and discharged at different rates of current at different temperatures is obtained;

[0008] Based on the obtained heat generation power relationship, the heat generation power of the battery when charged and discharged at any rate of current at any temperature is determined.

[0009] In one optional embodiment of this application, the method further includes:

[0010] The battery is controlled to remain within a target temperature range during charging and discharging, thereby maintaining the battery within the target temperature range. Multiple first average heat generation powers of the battery when charged and discharged at different rates of current at the target temperature are obtained, as well as multiple second average heat generation powers of the battery when charged and discharged at the target rate of current at different temperatures.

[0011] In one optional embodiment of this application, the step of controlling the battery to maintain within a target temperature range during charging and discharging includes:

[0012] The battery is kept within the target temperature range during charging and discharging by a temperature control device.

[0013] The temperature control device includes a water-cooled plate for dissipating heat from the battery, and the gap between the water-cooled plate and the battery is filled with thermally conductive adhesive.

[0014] In one optional embodiment of this application, the target temperature is determined by the following steps:

[0015] Obtain the operating temperature range corresponding to the battery;

[0016] The working temperature range is divided into multiple working temperature sub-ranges according to the first preset division condition, and the endpoint temperature is extracted from the multiple working temperature sub-ranges.

[0017] The endpoint temperature in the middle of the sorted endpoint temperatures is determined as the target temperature.

[0018] In one optional embodiment of this application, the target magnification is determined by the following steps:

[0019] Obtain the rate range corresponding to the battery;

[0020] The multiplier interval is divided into multiple multiplier sub-intervals according to the second preset division condition, and the endpoint multiplier is extracted from the multiple multiplier sub-intervals;

[0021] The target multipliers are determined from the midpoint of the sorted endpoint multipliers, as well as the multipliers at the beginning and / or end.

[0022] In one optional embodiment of this application, the method further includes:

[0023] The temperature difference between the temperature corresponding to the heat production power determined by the heat production power formula and the target temperature is detected, as well as the ratio difference between the ratio corresponding to the heat production power and the target ratio closest to the ratio.

[0024] If the temperature difference is greater than a preset temperature difference threshold and the multiplier difference is greater than a preset multiplier difference threshold, a reminder message will be sent to remind the user to correct the heat generation power.

[0025] In one optional embodiment of this application, the heat generation power relationship is expressed by the following formula:

[0026] P(x,y)=p 00 +p 10 *x+p 01 *y+p 20 *x 2 +p 11 *x*y+p 02 *y 2 ;

[0027] Where P(x,y) represents the heat production power, x represents the multiplier, y represents the temperature, and p 00 p 10 p 01 p 20 p 11 and p 02 The fitting coefficient is obtained by fitting the plurality of first average heat production power and the plurality of second average heat production power.

[0028] Secondly, embodiments of this application provide a device for predicting the heat generation power of a battery, the device comprising:

[0029] The power acquisition module is used to acquire multiple first average heat generation power of the battery when it is charged and discharged at different rates of current at a target temperature, and multiple second average heat generation power of the battery when it is charged and discharged at a target rate of current at different temperatures; wherein, the target temperature includes the middle temperature of the operating temperature range corresponding to the battery, and the target rate includes the rate at the middle position of the rate range corresponding to the battery, and the rate at the beginning and / or the end position;

[0030] The power fitting module is used to fit the plurality of first average heat generation power and the plurality of second average heat generation power to obtain the heat generation power relationship when the battery is charged and discharged at different rates of current at different temperatures.

[0031] The power prediction module is used to determine the heat generation power of the battery when it is charged and discharged at any rate of current at any temperature, based on the obtained heat generation power relationship.

[0032] Thirdly, embodiments of this application also provide an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, the steps of the battery heat generation power prediction method described above are performed.

[0033] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the battery heat generation power prediction method described above.

[0034] This application provides a method, apparatus, electronic device, and storage medium for predicting battery heat generation power. Compared with the prior art, which requires separate measurement of the heat generation power of lithium batteries at different temperatures and at different charge / discharge rates, this application only needs to fit a heat generation power relationship based on multiple first average heat generation powers of the battery at different current rates when charged and discharged at a specified target temperature, and multiple second average heat generation powers of the battery at different temperatures when charged and discharged at a specified target current rate. Based on this heat generation power relationship, the heat generation power of the battery at any temperature and at any current rate when charged and discharged can be predicted. This enables rapid evaluation of the heat generation power of the battery at any temperature and at any current rate when charged and discharged. This application only needs to obtain the average heat generation power at a specific temperature (such as the target temperature) and a specific rate (target rate) to fit the heat generation power relationship to predict the heat generation power of the battery at any temperature and at any current rate when charged and discharged. This not only saves test time and test resources while ensuring prediction accuracy, but also improves the measurement efficiency of battery heat generation power.

[0035] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 A flowchart illustrating a method for predicting battery heat generation power provided in an embodiment of this application;

[0038] Figure 2This is a schematic diagram of the structure of a temperature control device provided in an embodiment of this application;

[0039] Figure 3 This is one of the partial structural schematic diagrams of a temperature control device provided in an embodiment of this application;

[0040] Figure 4 This is a second partial structural schematic diagram of a temperature control device provided in an embodiment of this application;

[0041] Figure 5 for Figure 2 The diagram shows the effect of the temperature control device on battery temperature control.

[0042] Figure 6 A schematic diagram of the structure of a battery heat generation power prediction device provided in an embodiment of this application;

[0043] Figure 7 This is a schematic diagram of another battery heat generation power prediction device provided in an embodiment of this application;

[0044] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. Based on the embodiments of this application, every other embodiment obtained by those skilled in the art without inventive effort falls within the scope of protection of this application.

[0046] First, the applicable application scenarios of this application are introduced. This application can be applied to the field of batteries, specifically, lithium batteries. The performance and lifespan of lithium batteries are highly sensitive to temperature, and the heat generation power during the operation of lithium batteries is a crucial factor affecting their temperature. In the actual use of lithium batteries, it is necessary to formulate appropriate thermal management strategies based on the battery's heat generation power to ensure that the battery operates within a safe temperature range. Therefore, obtaining the heat generation power of lithium batteries is of great significance for battery thermal management.

[0047] In existing technologies, because the heat generation power of lithium batteries varies at different temperatures and at different charge / discharge rates, the heat generation power of lithium batteries at each different temperature and at each different charge / discharge rate must be measured separately. This results in testers spending a lot of time measuring the heat generation power of lithium batteries at different temperatures and at different charge / discharge rates, which not only wastes test resources but also leads to low measurement efficiency of battery heat generation power.

[0048] Based on this, embodiments of this application provide a method, apparatus, electronic device, and storage medium for predicting battery heat generation power, which can save testing time and testing resources, thereby improving the measurement efficiency of battery heat generation power.

[0049] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for predicting battery heat generation power provided in an embodiment of this application. Figure 1 As shown in the embodiments of this application, the method for predicting battery heat generation power includes:

[0050] S101. Obtain multiple first average heat generation powers when the battery is charged and discharged at different rates at a target temperature, and multiple second average heat generation powers when the battery is charged and discharged at a target rate at different temperatures; wherein, the target temperature includes the middle temperature of the corresponding operating temperature range of the battery, and the target rate includes the rate at the middle position of the corresponding rate range of the battery, and the rate at the beginning and / or end positions.

[0051] In step S101, the first average heat generation power is the average of multiple first heat generation powers, and the second average heat generation power is the average of multiple second heat generation powers. Specifically, multiple first heat generation powers are cyclically measured when the battery is charged and discharged at a certain rate of current at the target temperature. Then, the average of the measured multiple first heat generation powers is calculated to obtain the first average heat generation power of the battery when charged and discharged at a certain rate of current at the target temperature. Using a similar method, by changing the rate at the same target temperature and continuing to measure, multiple first average heat generation powers of the battery when charged and discharged at different rates of current at the target temperature can be obtained. Similarly, multiple second average heat generation powers of the battery when charged and discharged at the target rate of current at different temperatures can also be obtained.

[0052] Specifically, the battery is charged and discharged using a charging and discharging device, and the heat generation power during charging and discharging is read to complete the cyclic measurement of multiple first heat generation powers when the battery is charged and discharged at a certain rate of current at a target temperature, and the cyclic measurement of multiple second heat generation powers when the battery is charged and discharged at a target rate of current at different temperatures.

[0053] By obtaining the first average heat production power and the second average heat production power, and using the obtained first average heat production power and the second average heat production power in the subsequent process of fitting the heat production power relationship, the accuracy of the heat production power relationship can be improved.

[0054] In addition, the target temperature and target rate can be selected according to the battery model and the actual application process of the battery. Here, the purpose of the target temperature and target rate is to ensure that the data obtained for fitting the heat generation power relationship is more accurate.

[0055] Specifically, the target temperature includes the midpoint of the battery's operating temperature range, and the target rate includes the rate at the midpoint of the battery's rate range, as well as the rate at the beginning and / or end of the range. In other words, both the target temperature and target rate are specified values. This means that this application does not require fitting a heat generation power formula based on multiple different temperatures and rates; it only needs to obtain the average heat generation power at the specified target temperature and target rate to fit the heat generation power formula. This avoids the need to measure the heat generation power of the lithium battery individually at each different temperature and at each different charge / discharge rate, thereby saving testing time and resources while ensuring prediction accuracy, and improving the measurement efficiency of battery heat generation power.

[0056] S102. Fit multiple first average heat generation powers and multiple second average heat generation powers to obtain the heat generation power relationship when the battery is charged and discharged at different rates at different temperatures.

[0057] In step S102, a curve fitting method can be used for fitting. Based on the least squares method, multiple first average heat generation powers and multiple second average heat generation powers are fitted into a curve to effectively discover the relationship between temperature and rate in the heat generation power, thereby inferring the law between heat generation power and temperature and rate, and then obtaining the heat generation power relationship formula, so that users can predict the heat generation power of the battery when it is charged and discharged at any rate at any temperature.

[0058] S103. Based on the obtained heat generation power relationship, determine the heat generation power of the battery when it is charged and discharged at any rate of current at any temperature.

[0059] Through the above method, this application embodiment only needs to fit a heat generation power relationship based on multiple first average heat generation powers when the battery is charged and discharged at different rates of current at the target temperature, and multiple second average heat generation powers when the battery is charged and discharged at the target rate of current at different temperatures. Based on this heat generation power relationship, the heat generation power of the battery when charged and discharged at any rate of current at any temperature can be predicted, realizing the rapid evaluation of the heat generation power of the battery when charged and discharged at any rate of current at any temperature. This application only needs to obtain the average heat generation power at a specific temperature (such as the target temperature) and a specific rate (target rate) to fit a heat generation power relationship to predict the heat generation power of the battery when charged and discharged at any rate of current at any temperature. This not only saves test time and test resources while ensuring prediction accuracy, but also improves the accuracy of heat generation power prediction, thereby improving the measurement efficiency of battery heat generation power.

[0060] The method for predicting battery heat generation power provided in the embodiments of this application will be described in detail below.

[0061] Before step S101, the method provided in this application embodiment further includes: controlling the battery to maintain within a target temperature range during charging and discharging, so that the battery is maintained within the target temperature range, obtaining multiple first average heat generation powers when the battery is charged and discharged at different rates of current at the target temperature, and multiple second average heat generation powers when the battery is charged and discharged at different rates of current at different temperatures.

[0062] Here, when measuring the multiple first heat generation powers of the battery when it is charged and discharged at different rates of current at the target temperature, and the multiple second heat generation powers of the battery when it is charged and discharged at the target rate of current at different temperatures, it is necessary to ensure that the battery is maintained within the target temperature range during the charging and discharging process. The target temperature range refers to the safe temperature range for normal operation of the battery, which can be obtained based on parameters such as the lithium battery model.

[0063] For example, a temperature chamber can be used to control the battery to maintain the target temperature range during charging and discharging, or other temperature control devices can be used to control the battery to maintain the target temperature range during charging and discharging.

[0064] In this way, by controlling the battery to remain within the target temperature range during charging and discharging before measuring the heat generation power, the battery can operate within a safe temperature range, avoiding the impact of excessively high, low, or inconsistent temperature distribution on battery life and safety.

[0065] In a preferred embodiment, a temperature control device is used to maintain the battery within a target temperature range during charging and discharging.

[0066] The temperature control device includes a water-cooled plate for dissipating heat from the battery, and the gap between the water-cooled plate and the battery is filled with thermally conductive adhesive.

[0067] In this embodiment, in order to ensure that the battery is maintained within the target temperature range during charging and discharging, a temperature control device is used to control the battery to maintain the target temperature range during charging and discharging, so as not to affect the measurement of multiple first heat generation powers when the battery is charged and discharged at different rates of current at the target temperature, and multiple second heat generation powers when the battery is charged and discharged at the target rate of current at different temperatures. This not only improves the safety and service life of the battery, but also ensures the stability and accuracy of measuring the battery heat generation power.

[0068] For example, such as Figures 2 to 4 As shown, the temperature control device includes a water-cooled plate 201 for dissipating heat from the battery, and thermally conductive adhesive 203 fills the gap between the water-cooled plate 201 and the battery 202. The temperature control device comprises two stacked water-cooled plates 201, which are fixedly connected by bolts 204. Each water-cooled plate 201 has multiple water channels inside, and a transparent pipe 205 communicating with the water channels is provided on the outside of the water-cooled plate 201. The transparent pipe 205 is connected to the water-cooling pipe 206 through a three-way valve 207. The battery 202 is installed between the two layers of water-cooled plates 201, and the gap between the water-cooled plate 201 and the battery 202 is filled with thermally conductive adhesive 203 to improve the battery's thermal conductivity and moisture resistance and shock resistance. Specifically, the water-cooled tube 206 is connected to the water pump, which provides water to the temperature control device. The water flows through the water-cooled tube 206 and the transparent tube 205 into the multiple water channels of the water-cooled plate 201, allowing the water to circulate in a closed channel without leakage. This ensures that the temperature control device can work normally and thus ensures that the battery is maintained within the target temperature range during charging and discharging.

[0069] For example, using Figure 2 The temperature control device in the system controls the temperature of a 50Ah battery discharged at 0.5C and 1C currents respectively. The effect of the temperature control can be seen in the following diagram. Figure 5 As shown. By Figure 5 As can be seen, the current ambient temperature fluctuates between 27 and 31 degrees Celsius. The temperature control device in this embodiment can maintain the 50Ah battery at approximately 15 degrees Celsius during discharge at 0.5C and 1C currents, respectively. This ensures that the battery remains within the target temperature range even in high ambient temperatures, eliminating the need for a temperature chamber.

[0070] This application embodiment uses a temperature control device to maintain the battery within the target temperature range during charging and discharging. This ensures that the battery can still be kept within the target temperature range even when the ambient temperature is high. No temperature chamber is required, and the operation is simple, convenient and quick.

[0071] In step S101, the target temperature includes the middle temperature of the battery's corresponding operating temperature range.

[0072] Using an intermediate temperature here helps to obtain better fitting results, making the fitting results for the battery's edge rate and edge temperature more accurate. The edge rate refers to the rate at which the battery's rate range boundary is far from a preset rate threshold, and the edge temperature refers to the temperature at which the battery's operating temperature range boundary is far from a preset temperature threshold. Both the preset rate threshold and the preset temperature threshold can be set based on practical experience.

[0073] Specifically, the target temperature is determined through the following steps:

[0074] Step 1011: Obtain the operating temperature range corresponding to the battery.

[0075] In this step, the operating temperature range of the battery can be determined based on the default operating temperature of the battery at the factory; or it can be determined based on the optimal temperature range of the battery in actual operation, so as to ensure that the battery operates in a safe and efficient environment, thereby ensuring more accurate measurement of heat generation power.

[0076] Step 1012: Divide the working temperature range into multiple working temperature sub-ranges according to the first preset division conditions, and extract the endpoint temperature from the multiple working temperature sub-ranges.

[0077] Here, the first preset division condition refers to dividing the working temperature range according to a preset temperature interval. After obtaining multiple working temperature sub-ranges, the endpoint temperature can be extracted from these sub-ranges.

[0078] For example, assuming the battery is a lithium-ion battery, the operating temperature range of a lithium-ion battery is 20℃~50℃. Here, if a preset temperature interval of 5℃ is selected, then multiple operating temperature sub-intervals are divided into 20℃~25℃, 25℃~30℃, 30℃~35℃, 35℃~40℃, 40℃~45℃, and 45℃~50℃. The endpoint temperatures extracted from the above multiple operating temperature sub-intervals are 20℃, 25℃, 30℃, 35℃, 40℃, 45℃, and 50℃, respectively.

[0079] Step 1013: Determine the target temperature as the endpoint temperature that is in the middle position among the sorted endpoint temperatures.

[0080] Taking the operating temperature range of lithium-ion batteries as 20℃~50℃ as an example, the extracted endpoint temperatures are sorted in descending or ascending order. For example, sorting them in ascending order yields 20℃, 25℃, 30℃, 35℃, 40℃, 45℃ and 50℃. The endpoint temperature in the middle is 35℃, and therefore, the target temperature is 35℃.

[0081] Using the above method, the middle temperature of the battery can be selected as the target temperature according to the battery's corresponding operating temperature range. In this way, when fitting the heat generation power relationship based on multiple first average heat generation powers when the battery is charged and discharged at different rates of current at the target temperature, the fitted heat generation power relationship can be more accurate.

[0082] In step S101, the target rate includes the rate at the middle position of the rate range corresponding to the battery, as well as the rate at the beginning and / or end positions.

[0083] Here, the target rate can include the rate at the middle position and the rate at the beginning of the rate range corresponding to the battery; the target rate can include the rate at the middle position and the rate at the end of the rate range corresponding to the battery; the target rate can also include the rate at the middle position, the rate at the beginning, and the rate at the end of the rate range corresponding to the battery.

[0084] Specifically, the target leverage ratio is determined through the following steps:

[0085] Step 1014: Obtain the corresponding rate range for the battery.

[0086] In this step, the corresponding rate range of the battery can be determined based on the default rate when the battery leaves the factory; or it can be determined based on the optimal rate of the battery in actual operation, so as to ensure that the battery works in a safe environment and thus ensure more accurate heat generation power measurement.

[0087] Step 1015: Divide the multiplier interval into multiple multiplier sub-intervals according to the second preset division conditions, and extract the endpoint multipliers from the multiple multiplier sub-intervals.

[0088] Here, the second preset division condition refers to dividing the multiplier range according to different multiplier intervals. Within each multiplier range, different multiplier intervals need to be selected based on user experience. After obtaining multiple multiplier sub-ranges, the endpoint multiplier can be extracted from these sub-ranges.

[0089] For example, assuming the battery is a lithium-ion battery, and the rate range of lithium-ion batteries is 0.5C to 1.5C, this range is further divided into several sub-ranges based on user experience: 0.5C to 0.67C, 0.67C to 0.8C, 0.8C to 1C, 1C to 1.2C, and 1.2C to 1.5C. The endpoint rate can be set based on user experience. Specifically, the endpoint rate is a commonly used rate for batteries and has a significant impact on the measured heat generation power of the battery.

[0090] Step 1016: Determine the target multipliers as the multipliers located in the middle position, the first position, and / or the last position among the sorted endpoint multipliers.

[0091] Taking the rate range of lithium-ion batteries from 0.5C to 1.5C as an example, the extracted endpoint rates are sorted in descending or ascending order. For example, sorting them in ascending order yields 0.5C, 0.67C, 0.8C, 1C, 1.2C, and 1.5C. In one embodiment, the target rate includes 0.5C and 1C; in another embodiment, the target rate includes 1.5C and 0.8C; in yet another embodiment, the target rate includes 0.5C, 1C, and 1.5C, or the target rate includes 0.5C, 0.8C, and 1.5C.

[0092] Using the above method, the rate at the middle position of the battery, as well as the rate at the beginning and / or end position, can be selected according to the corresponding rate range of the battery. In this way, when fitting the heat generation power relationship based on multiple second heat generation power when the battery is charged and discharged at the target rate current at different temperatures, the fitted heat generation power relationship can be guaranteed to be more accurate.

[0093] In an optional embodiment, in step S102, the heat generation power relationship is specifically expressed by the following formula:

[0094] P(x,y)=p 00 +p 10 *x+p 01 *y+p 20 *x 2 +p 11 *x*y+p 02 *y 2 ;

[0095] Where P(x,y) represents the heat production power, x represents the multiplier, y represents the temperature, and p 00 p 10 p 01 p 20 p 11 and p 02The fitting coefficient is obtained by fitting multiple first average heat production powers and multiple second average heat production powers.

[0096] For example, under the condition that the battery is maintained at 15°C during charging and discharging, step S101 obtains multiple first average heat generation powers (1.564W, 2.387W, 3.123W, 4.66W, 6.459W, 9.498W) of the battery when charged and discharged at different rates (0.5C, 0.67C, 0.8C, 1C, 1.2C, and 1.5C) at 35°C, as well as the battery at different temperatures (20°C, 25°C). The second average heat generation power (2.383W, 1.978W, 1.71W, 1.564W, 1.426W, 1.318W, 1.241W; and 7.259W, 6.142W, 5.282W, 4.66W, 4.193W, 3.881W, 3.641W) during charging and discharging at currents of 0.5C and 1C at 30℃, 35℃, 40℃, 45℃, and 50℃ respectively is shown in Table 1.

[0097] TEMP 0.5C 0.67C 0.8C 1C 1.2C 1.5C 20 2.383 3.720 4.798 7.259 9.342 13.649 25 1.978 3.217 4.459 6.142 8.176 11.888 30 1.710 2.696 3.547 5.282 7.167 10.589 35 1.564 2.387 3.123 4.660 6.459 9.498 40 1.426 2.166 2.835 4.193 5.889 8.658 45 1.318 2.052 2.636 3.881 5.342 8.083 50 1.241 1.898 2.452 3.641 5.022 7.532

[0098] Table 1

[0099] The heat generation power relationship in step S102 is as follows:

[0100] P(x,y)=p 00 +p 10 *x+p 01 *y+p 20 *x 2 +p 11 *x*y+p 02 *y 2 ;

[0101] By fitting the data in Table 1, we obtain p. 00 =1.504; p 10 =6.55; p 01 = -0.1218; p 20 =3.246; p 11 = -0.1397; p 02 =0.002117.

[0102] This leads to the following heat production power relationship:

[0103] P(x,y)=1.504+6.55*x-9.1218*y+3.246*x 2 -0.1397*x*y+0.002117*y 2 ;

[0104] The heat generation power of the battery at other temperatures and different current rates is shown in Table 2, based on the above heat generation power relationship.

[0105] TEMP 0.5C 0.67C 0.8C 1C 1.2C 1.5C 20 2.383 3.888 4.997 7.259 9.096 12.852 25 1.978 3.288 4.305 6.142 8.125 11.672 30 1.710 2.793 3.720 5.282 7.260 10.598 35 1.564 2.387 3.123 4.660 6.459 9.498 40 1.426 2.121 2.866 4.193 5.848 8.766 45 1.318 1.944 2.599 3.881 5.301 8.010 50 1.241 1.873 2.436 3.641 4.860 7.359

[0106] Table 2

[0107] To verify the accuracy of the predicted heat generation power of the battery at other temperatures and different current rates when charged and discharged using the above heat generation power relationship formula, the measured data were compared with the data in Table 2 to obtain the error probability table, as shown in Table 3.

[0108] TEMP 0.5C 0.67C 0.8C 1C 1.2C 1.5C 20 2.383 4.33％ 3.98％ 7.259 2.70％ 6.20％ 25 1.978 2.14％ 3.57％ 6.142 0.62％ 1.85％ 30 1.710 3.45％ 4.64％ 5.282 1.29％ 0.08％ 35 1.564 2.387 3.123 4.660 6.459 9.498 40 1.426 2.14％ 1.08％ 4.193 0.69％ 1.23％ 45 1.318 5.56％ 1.44％ 3.881 0.78％ 0.92％ 50 1.241 1.38％ 0.65％ 3.641 3.35％ 2.36％

[0109] Table 3

[0110] Comparing the predicted data with the measured data, we can see that the maximum error is 6.2%, the minimum error is less than 1%, and the overall comprehensive error is 2.48%, indicating a good prediction effect. In the future, we only need to obtain multiple first average heat generation powers when the battery is charged and discharged at different rates of current at the target temperature, and multiple second average heat generation powers when the battery is charged and discharged at the target rate of current at different temperatures. We can then fit the data to derive the heat generation power relationship, and use the relationship to predict the heat generation power of the battery when it is charged and discharged at any rate of current at any temperature. This greatly saves testing resources and shortens the testing cycle.

[0111] In this embodiment, the heat generation power predicted by the heat generation power relationship can also be corrected. This is because the predicted heat generation power may have a large error for edge values. Further correction can be used to ensure smaller data errors, guaranteeing accurate heat generation power at the target temperature and charge / discharge rate. This results in a relatively accurate battery heat generation power, further improving the accuracy of subsequent heat generation power data analysis. For example, correcting the heat generation power can involve the user manually measuring the heat generation power at the target temperature and charge / discharge rate, and then using the actual measured data to replace part of the predicted data to complete the correction. Alternatively, the heat generation power predicted by the previously established heat generation power relationship can be further corrected by changing the fitted heat generation power relationship.

[0112] For example, the method provided in this application embodiment further includes:

[0113] Step 104: Detect the temperature difference between the temperature corresponding to the heat production power determined by the heat production power formula and the target temperature, as well as the ratio difference between the ratio corresponding to the heat production power and the target ratio closest to that ratio.

[0114] Step 105: If the temperature difference is greater than the preset temperature difference threshold and the multiplier difference is greater than the preset multiplier difference threshold, a reminder message is sent to remind the user to correct the heat generation power.

[0115] Among them, temperature difference greater than the preset temperature difference threshold and multiplier difference greater than the preset multiplier difference threshold can be considered as edge data in the test. Since the heat generation power data has a certain increasing or decreasing trend, the heat generation power predicted by the heat generation power relationship may have a large error for the edge heat generation power value. At this time, further correction methods can be adopted to ensure that the data error is small and further improve the accuracy of subsequent heat generation power data analysis.

[0116] Here, the method for correcting the heat generation power includes the user manually measuring the heat generation power at the temperature and the charging / discharging rate, and then using the actual measured data to replace part of the predicted data to complete the correction.

[0117] Alternatively, the heat generation power predicted by the previous heat generation power relationship can be further corrected by changing the fitted heat generation power relationship. In the following discussion, the previous heat generation power relationship is defined as the first heat generation power relationship. Specifically, the target temperature can be changed, that is, a set of multiple heat generation powers when charging and discharging at different current rates at the new target temperature can be remeasured. Then, these heat generation powers are recalculated and fitted with the previously measured multiple heat generation powers when the battery is charged and discharged at different current rates at different temperatures to obtain a new heat generation power relationship (the re-obtained heat generation power relationship is defined as the second heat generation power relationship in the following discussion). The second heat generation power relationship is then used to predict the heat generation power of the battery, thereby obtaining a new set of predicted heat generation powers. The predicted heat generation power is compared one by one using two different heat generation power formulas. If the difference between the two predicted heat generation powers is within the preset difference range or the error rate is within the preset error range, the average of the two heat generation powers is taken as the final heat generation power. If the difference between the two predicted heat generation powers is not within the preset difference range or the error rate is not within the preset error range, it means that the heat generation power at this target temperature and this target rate cannot be determined. In this case, it is necessary to re-measure to ensure that the heat generation power at this target temperature and this target rate is accurate, thereby obtaining a relatively accurate heat generation power of the battery.

[0118] For example, the first heat generation power of the battery when charged and discharged at a first rate of current at a first temperature is predicted by a first heat generation power relationship formula, and the second heat generation power of the battery when charged and discharged at a first rate of current at a first temperature is further predicted by a second heat generation power relationship formula. If the difference between the first heat generation power and the second heat generation power is within a preset difference range or the error rate between them is within a preset error range, then the average heat generation power between the first heat generation power and the second heat generation power is calculated, and the obtained average heat generation power is used as the final heat generation power of the battery when charged and discharged at a first rate of current at a first temperature. If the difference between the first heat generation power and the second heat generation power is not within a preset difference range or the error rate between them is not within a preset error range, then the heat generation power of the battery when charged and discharged at a first rate of current at a first temperature is actually measured to ensure that the heat generation power when charged and discharged at a first rate of current at a first temperature is accurate.

[0119] It should be noted that when refitting the second heat generation power relationship, in addition to choosing to remeasure a set of multiple heat generation powers under different current rates at a new target temperature, one can also choose to remeasure a set of multiple heat generation powers under different current rates at different temperatures. However, it is important to note that the amount of data remeasured should not be excessive to prevent increasing test time and resources.

[0120] The battery heat generation power prediction method provided in this application, compared with the prior art where the heat generation power of lithium batteries needs to be measured separately at each different temperature and at each different charge / discharge rate, only needs to fit a heat generation power relationship based on multiple first average heat generation powers of the battery at different current rates when charged and discharged at a target temperature, and multiple second average heat generation powers of the battery at different current rates when charged and discharged at a target temperature. Based on this heat generation power relationship, the heat generation power of the battery at any temperature and at any current rate when charged and discharged can be predicted. This enables rapid evaluation of the heat generation power of the battery at any temperature and at any current rate when charged and discharged. This application only needs to obtain the average heat generation power at a specific temperature (such as the target temperature) and a specific rate (target rate) to fit a heat generation power relationship to predict the heat generation power of the battery at any temperature and at any current rate when charged and discharged. This not only saves test time and test resources while ensuring prediction accuracy, but also improves the measurement efficiency of battery heat generation power. Furthermore, the heat production power predicted by the heat production power relationship may have a large error. In this case, further correction methods can be adopted to ensure that the data error is small and to further improve the accuracy of subsequent heat production power data analysis.

[0121] Based on the same inventive concept, this application also provides a battery heat generation power prediction device corresponding to the battery heat generation power prediction method. Since the principle of the device in this application is similar to the battery heat generation power prediction method described above in this application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0122] Please see Figure 6 and Figure 7 , Figure 6 A schematic diagram of the structure of a battery heat generation power prediction device provided in an embodiment of this application; Figure 7 This is a schematic diagram of another battery heat generation power prediction device provided in an embodiment of this application. Figure 6 As shown, the device 600 includes:

[0123] The power acquisition module 601 is used to acquire multiple first average heat generation power of the battery when it is charged and discharged at different rates of current at a target temperature, and multiple second average heat generation power of the battery when it is charged and discharged at a target rate of current at different temperatures; wherein, the target temperature includes the middle temperature of the operating temperature range corresponding to the battery, and the target rate includes the rate at the middle position of the rate range corresponding to the battery, and the rate at the beginning and / or the end position;

[0124] The power fitting module 602 is used to fit the plurality of first average heat generation power and the plurality of second average heat generation power to obtain the heat generation power relationship when the battery is charged and discharged at different rates of current at different temperatures.

[0125] The power prediction module 603 is used to determine the heat generation power of the battery when it is charged and discharged at any rate of current at any temperature, based on the obtained heat generation power relationship.

[0126] Furthermore, such as Figure 7 As shown, the device 600 also includes a temperature control module 604, which is used to control the battery to maintain within a target temperature range during charging and discharging through a temperature control device.

[0127] The temperature control device includes a water-cooled plate for dissipating heat from the battery, and the gap between the water-cooled plate and the battery is filled with thermally conductive adhesive.

[0128] In one optional embodiment of this application, the power acquisition module 601 is used to determine the target temperature through the following steps:

[0129] Obtain the operating temperature range corresponding to the battery;

[0130] The working temperature range is divided into multiple working temperature sub-ranges according to the first preset division condition, and the endpoint temperature is extracted from the multiple working temperature sub-ranges.

[0131] The endpoint temperature in the middle of the sorted endpoint temperatures is determined as the target temperature.

[0132] In one optional embodiment of this application, the power acquisition module 601 is used to determine the target multiplier through the following steps:

[0133] Obtain the rate range corresponding to the battery;

[0134] The multiplier interval is divided into multiple multiplier sub-intervals according to the second preset division condition, and the endpoint multiplier is extracted from the multiple multiplier sub-intervals;

[0135] The target multipliers are determined from the midpoint of the sorted endpoint multipliers, as well as the multipliers at the beginning and / or end.

[0136] In an optional embodiment of this application, the device 600 further includes an information reminder module 605, which is used for:

[0137] The temperature difference between the temperature corresponding to the heat production power determined by the heat production power formula and the target temperature is detected, as well as the ratio difference between the ratio corresponding to the heat production power and the target ratio closest to the ratio.

[0138] If the temperature difference is greater than a preset temperature difference threshold and the multiplier difference is greater than a preset multiplier difference threshold, a reminder message will be sent to remind the user to correct the heat generation power.

[0139] In one optional embodiment of this application, the heat generation power relationship is expressed by the following formula:

[0140] P(x,y)=p 00 +p 10 *x+p 01 *y+p 20 *x 2 +p 11 *x*y+p 02 *y 2 ;

[0141] Where P(x,y) represents the heat production power, x represents the multiplier, y represents the temperature, and p 00 p 10 p 01 p 20 p 11 and p 02The fitting coefficient is obtained by fitting the plurality of first average heat production power and the plurality of second average heat production power.

[0142] The battery heat generation power prediction device provided in this application, compared with the prior art which requires separate measurement of the heat generation power of lithium batteries at different temperatures and at different charge / discharge rates, only needs to fit a heat generation power relationship based on multiple first average heat generation powers of the battery at different current rates when charged and discharged at a target temperature, and multiple second average heat generation powers of the battery at different current rates when charged and discharged at a target temperature. Based on this heat generation power relationship, the heat generation power of the battery at any temperature and at any current rate when charged and discharged can be predicted. This enables rapid evaluation of the heat generation power of the battery at any temperature and at any current rate when charged and discharged. This application only needs to obtain the average heat generation power at a specific temperature (such as the target temperature) and a specific rate (target rate) to fit a heat generation power relationship to predict the heat generation power of the battery at any temperature and at any current rate when charged and discharged. This not only saves test time and test resources while ensuring prediction accuracy, but also improves the measurement efficiency of battery heat generation power. Furthermore, the heat production power predicted by the heat production power relationship may have a large error. In this case, further correction methods can be adopted to ensure that the data error is small and to further improve the accuracy of subsequent heat production power data analysis.

[0143] Please see Figure 8 , Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 8 As shown, the electronic device 800 includes a processor 801, a memory 802, and a bus 803.

[0144] The memory 802 stores machine-readable instructions executable by the processor 801. When the electronic device 800 is running, the processor 801 communicates with the memory 802 via the bus 803. When the machine-readable instructions are executed by the processor 801, they can perform the operations described above. Figure 1 The steps of the battery heat generation power prediction method in the method embodiment shown are described in detail in the method embodiment, and will not be repeated here.

[0145] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can perform the above-described actions. Figure 1 The steps of the battery heat generation power prediction method in the method embodiment shown are described in detail in the method embodiment, and will not be repeated here.

[0146] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0147] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0148] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0149] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0150] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0151] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The scope of protection of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method of predicting the heat generation power of a battery, characterized by, The method includes: The method acquires multiple first average heat generation powers of the battery when it is charged and discharged at different rates at a target temperature, and multiple second average heat generation powers of the battery when it is charged and discharged at a target rate at different temperatures; wherein the target temperature includes the middle temperature of the operating temperature range corresponding to the battery, and the target rate includes the rate at the middle position of the rate range corresponding to the battery, and the rate at the beginning and / or the end position. By fitting the plurality of first average heat generation powers and the plurality of second average heat generation powers, the heat generation power relationship of the battery under different temperatures and at different current rates during charging and discharging is obtained; the heat generation power relationship is expressed by the following formula: ； wherein, represents the generated heat power, x represents the rate, y represents the temperature, , , , , and represents a fitting coefficient, which is obtained by fitting the plurality of first average generated heat powers and the plurality of second average generated heat powers; Based on the obtained heat generation power relationship, the heat generation power of the battery when charged and discharged at any rate of current at any temperature is determined.

2. The method according to claim 1, characterized in that, The method further includes: The battery is controlled to remain within a target temperature range during charging and discharging, thereby maintaining the battery within the target temperature range. Multiple first average heat generation powers of the battery when charged and discharged at different rates of current at the target temperature are obtained, as well as multiple second average heat generation powers of the battery when charged and discharged at the target rate of current at different temperatures.

3. The method according to claim 2, characterized in that, The steps for controlling the battery to remain within a target temperature range during charging and discharging include: The battery is kept within the target temperature range during charging and discharging by a temperature control device. The temperature control device includes a water-cooled plate for dissipating heat from the battery, and the gap between the water-cooled plate and the battery is filled with thermally conductive adhesive.

4. The method according to claim 1, characterized in that, The target temperature is determined by the following steps: Obtain the operating temperature range corresponding to the battery; The working temperature range is divided into multiple working temperature sub-ranges according to the first preset division condition, and the endpoint temperature is extracted from the multiple working temperature sub-ranges. The endpoint temperature in the middle position among the sorted endpoint temperatures is determined as the target temperature.

5. The method according to claim 1, characterized in that, The target multiplier is determined by the following steps: Obtain the rate range corresponding to the battery; The multiplier interval is divided into multiple multiplier sub-intervals according to the second preset division condition, and the endpoint multiplier is extracted from the multiple multiplier sub-intervals; The target multipliers are determined from the midpoint of the sorted endpoint multipliers, as well as the multipliers at the beginning and / or end.

6. The method according to claim 1, characterized in that, The method further includes: The temperature difference between the temperature corresponding to the heat production power determined by the heat production power formula and the target temperature is detected, as well as the ratio difference between the ratio corresponding to the heat production power and the target ratio closest to the ratio. If the temperature difference is greater than a preset temperature difference threshold and the multiplier difference is greater than a preset multiplier difference threshold, a reminder message will be sent to remind the user to correct the heat generation power.

7. A device for predicting the heat generation power of a battery, characterized in that, The device includes: The power acquisition module is used to acquire multiple first average heat generation power of the battery when it is charged and discharged at different rates of current at a target temperature, and multiple second average heat generation power of the battery when it is charged and discharged at a target rate of current at different temperatures; wherein, the target temperature includes the middle temperature of the operating temperature range corresponding to the battery, and the target rate includes the rate at the middle position of the rate range corresponding to the battery, and the rate at the beginning and / or the end position; A power fitting module is used to fit the plurality of first average heat generation powers and the plurality of second average heat generation powers to obtain the heat generation power relationship when the battery is charged and discharged at different rates of current at different temperatures; the heat generation power relationship is expressed by the following formula: ； in, The expression represents the heat production capacity, x represents the multiplier, and y represents the temperature. , , , , and The fitting coefficient is obtained by fitting the plurality of first average heat production power and the plurality of second average heat production power. The power prediction module is used to determine the heat generation power of the battery when it is charged and discharged at any rate of current at any temperature, based on the obtained heat generation power relationship.

8. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the method for predicting the battery heat generation power as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the method for predicting the heat generation power of a battery as described in any one of claims 1 to 6.

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