Battery cooling method and related device

Abstract

This invention relates to the field of battery cooling technology, and more particularly to a battery cooling method and related equipment. The method includes: acquiring the ambient temperature and the temperature and state of charge of a target battery at a current moment; determining the heat generation power and heat dissipation power of the target battery at a current moment based on the physical parameters of the target battery and its charging parameters; calculating a predicted temperature of the target battery over a future first time period based on the heat generation power, the heat dissipation power, and the thermophysical parameters of the target battery; increasing the cooling power of the cooling system if the predicted temperature is greater than a preset optimal charging temperature; and not increasing the cooling power of the cooling system if the predicted temperature is less than or equal to the optimal charging temperature; wherein the cooling system is used to cool the target battery.

Description

Technical Field

[0001] This invention relates to the field of battery cooling technology, and more particularly to a battery cooling method and related equipment. Background Technology

[0002] With the rapid development of battery technology, users' demands for battery charging speed are constantly increasing, and high-rate fast charging has become an important development trend in the field of battery applications. However, batteries generate a large amount of heat in a short period of time during high-rate charging, causing the battery temperature to rise sharply. Excessive temperature not only affects the battery's charging and discharging efficiency but also accelerates battery capacity decay and may even trigger safety issues such as thermal runaway.

[0003] Currently, mainstream battery cooling methods typically employ temperature threshold-based control strategies. This method monitors the battery temperature in real time using temperature sensors, only activating the cooling system or increasing cooling power when the battery temperature exceeds a preset safety threshold. This passive-response adjustment has a certain lag. By the time the temperature sensor detects overheating, heat accumulation inside the battery has often already occurred, and the temperature rise cannot be effectively suppressed, causing the battery to remain at a high temperature for an extended period. Furthermore, this delayed cooling intervention can lead to frequent start-stop cycles or prolonged high-load operation of the cooling system, increasing unnecessary energy consumption. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a battery cooling method and related equipment that can avoid the above-mentioned problems.

[0005] In a first aspect, embodiments of the present invention provide a battery cooling method, comprising: Acquire the ambient temperature and the target battery's current temperature and state of charge; Based on the physical parameters of the target battery and the charging parameters of the target battery at the current moment, determine the heat generation power and heat dissipation power of the target battery at the current moment. Based on the heat generation power, the heat dissipation power, and the thermophysical parameters of the target battery, the predicted temperature of the target battery in the first time period in the future is calculated. If the predicted temperature is greater than the preset optimal charging temperature, the cooling power of the cooling system is increased; if the predicted temperature is less than or equal to the optimal charging temperature, the cooling power of the cooling system is not increased; wherein, the cooling system is used to cool the target battery.

[0006] In one possible implementation, the charging parameters include a requested current and a requested voltage, which are determined based on the state of charge, the temperature, and a preset charging strategy.

[0007] In one possible implementation, the physical parameters of the target battery include its internal resistance, and determining the heat generation power of the target battery at the current moment includes: The heat generation power is determined based on the requested current, the requested voltage, the internal resistance, and the coulombic efficiency.

[0008] In one possible implementation, the physical parameters of the target battery include the surface area and the heat transfer coefficient of the target battery. Determining the heat dissipation power of the target battery at the current moment includes: Determine a first difference between the temperature and the ambient temperature; The heat dissipation power is determined based on the first difference, the surface area, and the heat transfer coefficient.

[0009] In one possible implementation, the thermal property parameters include the specific heat capacity and mass of the target battery, and the calculation of the predicted temperature of the target battery over a future first time period includes: The predicted temperature of the target battery within the first future time period is calculated based on the heat generation power, the heat dissipation power, the specific heat capacity, and the mass.

[0010] In one possible implementation, the thermal properties include the specific heat capacity and mass of the target battery, and the increase in cooling power of the cooling system includes: The requested cooling power is determined based on the specific heat capacity, the mass, the predicted temperature, the optimal charging temperature, and the preset cooling time. Control the cooling system to operate according to the requested cooling power.

[0011] In one possible implementation, determining the requested cooling power based on the specific heat capacity, the mass, the predicted temperature, the optimal charging temperature, and the preset cooling time includes: Based on the specific heat capacity, mass, predicted temperature, and optimal charging temperature of the target battery, calculate the amount of cooling required to cool the target battery from the predicted temperature to the optimal charging temperature; The requested cooling power is determined based on the cooling capacity and the preset cooling time.

[0012] In a second aspect, embodiments of the present invention provide a battery cooling device, comprising: The acquisition module is used to acquire the ambient temperature and the current temperature and state of charge of the target battery. The determining module is used to determine the heat generation power and heat dissipation power of the target battery at the current moment based on the physical parameters of the target battery and the charging parameters of the target battery at the current moment. The calculation module is used to calculate the predicted temperature of the target battery in the future first time period based on the heat generation power, the heat dissipation power and the thermophysical parameters of the target battery; A control module is configured to increase the cooling power of the cooling system when the predicted temperature is greater than the preset optimal charging temperature; and not increase the cooling power of the cooling system when the predicted temperature is less than or equal to the optimal charging temperature; wherein the cooling system is used to cool the target battery.

[0013] Thirdly, embodiments of the present invention provide an electronic device, comprising: At least one processor; and At least one memory communicatively connected to the processor, wherein: The memory stores program instructions that can be executed by the processor, and the processor can execute the method described in the first aspect by calling the program instructions.

[0014] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer instructions that cause the computer to perform the method described in the first aspect.

[0015] This invention predicts future temperature by acquiring the current state of the battery and combining its physical and thermal properties. When the predicted temperature exceeds the optimal charging temperature, cooling power is increased. This overcomes the inherent lag in traditional feedback control, achieving active suppression of battery temperature rise and effectively controlling the battery temperature within the optimal range, thereby extending battery life. Simultaneously, it avoids ineffective operation of the cooling system, saving energy. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart of a battery cooling method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a battery cooling device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0018] To better understand the technical solution of the present invention, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0019] It should be understood that the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0020] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0021] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0022] It should be understood that although terms such as first, second, third, etc., may be used to describe numbers in embodiments of the present invention, these numbers should not be limited to these terms. These terms are only used to distinguish numbers from each other. For example, without departing from the scope of embodiments of the present invention, a first number may also be referred to as a second number, and similarly, a second number may also be referred to as a first number.

[0023] To address the lag problem in existing battery cooling methods, which typically activate the cooling system only after the battery temperature has already exceeded a safety threshold, resulting in poor temperature rise suppression, reduced battery life, and increased energy consumption, this invention provides a battery cooling method that can solve the above problems.

[0024] Figure 1 A flowchart illustrating a battery cooling method provided in an embodiment of the present invention. Figure 1 As shown, the method includes: Step 101: Obtain the ambient temperature and the target battery's temperature and state of charge at the current moment.

[0025] The target battery refers to a solid-state battery that requires charging management. Specifically, the target battery can be an all-solid-state battery, a semi-solid-state battery, or a quasi-solid-state battery. In this embodiment, to achieve refined thermal management of the target battery, it is necessary to obtain the real-time status parameters of the target battery and the ambient temperature of the target battery.

[0026] Specifically, the temperature of the target battery can be collected using a temperature sensor to obtain the current temperature of the target battery, which is denoted as Tb. The target battery temperature can be the average temperature of multiple monitoring points within the battery pack, or it can be the highest monitored single-cell temperature.

[0027] The state of charge (SOC) of a target battery can be detected by a detection circuit or other devices.

[0028] Ambient temperature can be collected by an ambient temperature sensor and is denoted as Te.

[0029] Step 102: Determine the heat generation power and heat dissipation power of the target battery at the current moment based on the physical parameters of the target battery and the charging parameters of the target battery at the current moment.

[0030] After obtaining the relevant physical parameters of the target battery at the current moment, the heat generated by the battery per unit time at the current moment and the heat dissipated into the environment per unit time are calculated, thus providing basic data for the subsequent temperature prediction steps.

[0031] In some embodiments, the charging parameters include a requested current and a requested voltage. The requested current Ic and requested voltage Vc are determined based on the target battery's current state of charge (SOC), temperature Tb, and a preset charging strategy. The preset charging strategy is a charging curve optimized according to the characteristics of the target battery. For example, in low-temperature environments, to ensure battery safety and lifespan, the charging strategy limits the magnitude of the requested current. When the battery charge is low, constant current charging may be used, in which case the requested current is constant, and the requested voltage gradually increases as the charge level rises. When the battery voltage reaches the cutoff voltage, it enters the constant voltage charging stage, where the requested voltage remains constant, and the requested current gradually decreases. Therefore, the requested current and requested voltage are dynamically changing, reflecting the optimal charging intensity acceptable to the battery at the current moment.

[0032] It should be noted that the requested current and requested voltage in the above embodiments refer to the target charging parameters determined based on the current state of the battery. In different implementations, the charging parameters may also be theoretical values ​​calculated according to a preset strategy, or they may be the current actual charging current and charging voltage values ​​read directly from the battery management system or charger.

[0033] In some embodiments, the physical parameters of the target battery include its internal resistance. Internal resistance is the fundamental cause of Joule heat generation during battery charging and discharging. The steps for determining the heat generation power Ph specifically include: determining the heat generation power based on the requested current Ic, requested voltage Vc, internal resistance Rb, and coulombic efficiency ηc. The heat generated during battery charging mainly comes from two parts: one part is the irreversible Joule heat generated by the current passing through the battery's internal resistance; the other part is the reversible or irreversible reaction heat generated by polarization and entropy change in the electrochemical reaction. Combining these two parts, the heat generation power Ph can be expressed as the sum of Joule heat power and reaction heat power. The Joule heat power is proportional to the square of the requested current and the internal resistance, while the reaction heat power is related to the requested current, requested voltage, and coulombic efficiency.

[0034] In some embodiments, the heat generation power Ph can be calculated using formula (1).

[0035] Formula (1): Ph = Ic 2 ×Rb+Ic×Vc×(1-ηc) In some embodiments, since the internal resistance Rb of the target battery is not a constant value during actual charging, it is affected by the battery temperature Tb and the state of charge (SOC). Therefore, to improve the calculation accuracy of the heat generation power Ph, the internal resistance Rb is obtained in real time through a pre-calibrated mapping relationship. The correlation between battery temperature, SOC, and internal resistance is obtained by conducting numerous pre-calibrated charge-discharge experiments on the target battery. This mapping relationship includes the corresponding internal resistance values ​​at different temperature points and different SOC points. In practical applications, based on the battery temperature Tb and SOC collected at the current moment, the internal resistance value Rb of the target battery at the current moment can be quickly and accurately obtained through the above mapping relationship.

[0036] In some embodiments, the physical parameters of the target battery include the surface area S and the heat transfer coefficient A. The steps for determining the heat dissipation power specifically include: first, determining a first difference between temperature Tb and ambient temperature Te. Then, determining the heat dissipation power based on this first difference, the surface area S, and the heat transfer coefficient A. The heat dissipation power of the target battery mainly consists of two parts: ambient heat dissipation (denoted as Pe) and forced heat dissipation by the cooling system (denoted as Pc). In this embodiment, the heat dissipation power Pc can be expressed as the sum of natural heat dissipation power and the cooling power of the cooling system at the current moment. The natural heat dissipation power is proportional to the heat transfer coefficient, surface area, and temperature difference, while the cooling power of the cooling system at the current moment can be calculated by the cooling system based on its current operating state.

[0037] Among them, the environmental heat dissipation Pe can be calculated using formula (2).

[0038] Formula (2): Pe=S×A×(Tb-Te) Step 103: Calculate the predicted temperature of the target battery in the first time period in the future, based on the heat generation power, heat dissipation power, and the thermal properties of the target battery.

[0039] Once the heat generation and dissipation at the current moment are determined, the thermal capacity characteristics of the battery can be used to predict future temperature changes of the target battery. In this embodiment, the thermal properties of the target battery include at least its specific heat capacity Cb and mass m. Specific heat capacity is the amount of heat required to raise the temperature of a unit mass of material by one degree Celsius, and mass is the total mass of the target battery; these two parameters together determine the battery's thermal inertia.

[0040] Within the first time interval, the temperature change ΔTp inside the battery equals the difference between heat generation and heat dissipation. Therefore, the temperature at future times can be calculated iteratively. Specifically, starting from the current time t, the predicted temperature at the future time t+q is calculated.

[0041] Specifically, the predicted temperature at time t+m can be calculated using formula (3).

[0042] Formula (3): Tf(t+q)=Tb(t)+[Ph(t)-Pc-S×A×(Tb(t)-Te)]×Δt÷(m×Cb) Where Δt is the first time interval, and q ≤ Δt. Based on formula (3), by changing the value of m and performing multiple iterations, the temperature change curve of the target battery within the first time interval can be obtained, which is the predicted temperature of the target battery within the first time interval. For example, if it is necessary to predict the temperature within the next 10 seconds (i.e., Δt = 10), 10 iterations can be performed with a step size of one second. In each new iteration, the heat generation power Ph and heat dissipation power Pc can be updated according to the new predicted temperature and state of charge, thereby making the prediction results more accurate.

[0043] Step 104: If the predicted temperature is higher than the preset optimal charging temperature, increase the cooling power of the cooling system. If the predicted temperature is less than or equal to the optimal charging temperature, do not increase the cooling power of the cooling system.

[0044] The cooling system is used to cool the target battery. The optimal charging temperature (Tg) is a preset fixed value, determined based on the material properties and lifespan requirements of the target battery. It represents the upper limit of the temperature most suitable for charging while ensuring fast charging speed and battery safety. For example, for a certain solid-state battery, the optimal charging temperature can be set to 45 degrees Celsius.

[0045] After calculating the predicted temperature curve for the first time period in the future (i.e., the predicted temperature of the target battery in the first time period in the future), the predicted temperature curve can be analyzed. If any point on the predicted temperature curve exceeds the preset optimal charging temperature Tg, it means that without early intervention, the target battery will overheat in the future, affecting charging efficiency.

[0046] Specifically, if the maximum value of the predicted temperature Tf is greater than Tg, the cooling power of the cooling system is immediately activated or increased. Through this feedforward control, cooling is initiated before the battery temperature exceeds the optimal charging temperature, thereby effectively suppressing the rate of temperature rise and keeping the temperature peak below the optimal charging temperature Tg.

[0047] Conversely, if the entire predicted temperature curve is less than or equal to Tg, it indicates that the current cooling capacity is sufficient to cope with future temperature rises, and therefore there is no need to increase the cooling power. In some preferred embodiments, if the predicted temperature is less than or equal to the optimal charging temperature, the current cooling power of the cooling system can be maintained, or the cooling power can be appropriately reduced according to the actual situation to achieve energy saving.

[0048] In some embodiments, when increasing the cooling power of the cooling system, the requested cooling power can be determined first. This cooling power is the maximum operating power of the cooling system within a future first time period. Specifically, the requested cooling power Pr is first determined based on the specific heat capacity Cb, mass m, predicted temperature Tf, optimal charging temperature Tg, and a preset cooling time tcool. Then, the cooling system is controlled to operate according to the requested cooling power Pr.

[0049] Specifically, the steps to determine the requested cooling power include the following: First, based on the specific heat capacity Cb, mass m, predicted temperature Tf, and optimal charging temperature Tg of the target battery, calculate the cooling amount Q required to cool the target battery from the predicted temperature Tf to the optimal charging temperature Tg. The required cooling amount Q can be calculated using formula (4).

[0050] Formula (4): Q = Cb × m × (Tf - Tr) Then, based on the calculated cooling capacity Q and the preset cooling time tcool, the requested cooling power Pr is determined. The requested cooling power Pr equals the cooling capacity Q divided by the cooling time tcool. Here, the cooling time tcool is an adjustable parameter that describes the time required to adjust the current temperature to the optimal charging temperature. The smaller the tcool setting, the greater the requested cooling power and the faster the cooling speed. The larger the tcool setting, the smoother the cooling and the longer the required time. This parameter can be set according to the performance of the cooling system and actual conditions.

[0051] This embodiment achieves feedforward control of the battery cooling system by acquiring battery status, calculating heat generation and dissipation based on a physical model, iteratively predicting future temperature, and comparing it with a preset optimal temperature. When overheating is predicted, the system can accurately calculate the required cooling power and execute it in advance, thereby effectively suppressing the drastic temperature rise during fast charging.

[0052] In some embodiments, to ensure that the cooling system can reliably execute the requested cooling power, step 104 may further include a step of limiting the requested cooling power. For example, if the calculated Pr exceeds the maximum output capacity Pmax of the cooling system, the final output control command should be Pmax; if Pr is less than the minimum stable operating power Pmin of the cooling system and additional cooling is required, the output can be based on Pmin, or an intermittent operating mode can be used to equivalently achieve an average cooling power lower than Pmin.

[0053] The battery cooling method provided in this invention represents a shift from passive response cooling to active feedforward cooling. This feedforward cooling control effectively overcomes the lag inherent in traditional control methods, suppressing the rapid temperature rise in scenarios such as fast charging, and keeping the battery temperature consistently below the optimal charging temperature, significantly improving fast charging safety and cycle life. Secondly, since the cooling power is precisely calculated based on actual needs, unnecessary overcooling and frequent start-stop cycles are avoided, helping to reduce the overall energy consumption of the cooling system. Furthermore, the battery cooling method provided by this invention is based on a physical model and does not rely on extensive historical data for training, exhibiting stronger generalization ability and interpretability, and is easily ported and applied to different battery models.

[0054] Corresponding to the above-described battery cooling method, this embodiment of the invention provides a battery cooling device. Figure 2 This is a schematic diagram of a battery cooling device provided in an embodiment of the present invention. Figure 2 As shown, the device includes: an acquisition module 201, a determination module 202, a calculation module 203, and a control module 204.

[0055] The acquisition module 201 is used to acquire the ambient temperature and the temperature and state of charge of the target battery at the current moment.

[0056] The determining module 202 is used to determine the heat generation power and heat dissipation power of the target battery at the current moment based on the physical parameters of the target battery and the charging parameters of the target battery at the current moment.

[0057] The calculation module 203 is used to calculate the predicted temperature of the target battery in the first time period in the future based on the heat generation power, heat dissipation power and the thermal property parameters of the target battery.

[0058] The control module 204 is used to increase the cooling power of the cooling system when the predicted temperature is higher than the preset optimal charging temperature, and not to increase the cooling power of the cooling system when the predicted temperature is lower than or equal to the optimal charging temperature. The cooling system is used to cool the target battery.

[0059] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention, such as... Figure 3 As shown, the aforementioned electronic device may include at least one processor and at least one memory communicatively connected to the processor, wherein the memory stores program instructions executable by the processor, and the processor can execute this specification by calling the program instructions. Figure 1 The embodiment shown provides a battery cooling method.

[0060] like Figure 3 As shown, the electronic device is represented in the form of a general-purpose computing device. The components of the electronic device may include, but are not limited to: one or more processors 310, communication interface 320 and memory 330, and a communication bus 340 connecting different system components (including memory 330, communication interface 320 and processor 310).

[0061] Communication bus 340 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) buses, Micro Channel Architecture (MAC) buses, Enhanced ISA buses, Video Electronics Standards Association (VESA) local buses, and Peripheral Component Interconnect (PCI) buses.

[0062] Electronic devices typically include a variety of computer-readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, and removable and non-removable media.

[0063] Memory 330 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. Memory 330 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments described herein.

[0064] A program / utility having a set (at least one) of program modules may be stored in memory 330. Such program modules include—but are not limited to—an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules typically perform the functions and / or methods described in the embodiments of this specification.

[0065] Processor 310 executes various functional applications and data processing by running programs stored in memory 330, such as implementing the functions described in this specification. Figure 1 The embodiment shown provides a battery cooling method.

[0066] This specification provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it performs the functions described in this specification. Figure 1 The embodiment shown provides a battery cooling method.

[0067] This specification provides a computer-readable storage medium that stores computer instructions that cause a computer to execute this specification. Figure 1 The embodiment shown provides a battery cooling method.

[0068] The aforementioned computer-readable storage medium may be any combination of one or more computer-readable media. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or flash memory, optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program that may be used by or in connection with an instruction execution system, apparatus, or device.

[0069] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0070] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this specification. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0071] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this specification, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0072] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this specification includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which the embodiments of this specification pertain.

[0073] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0074] It should be noted that the devices involved in the embodiments of this specification may include, but are not limited to, personal computers (PCs), personal digital assistants (PDAs), wireless handheld devices, tablet computers, mobile phones, MP3 displays, MP4 displays, etc.

[0075] In the several embodiments provided in this specification, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0076] Furthermore, the functional units in the various embodiments of this specification 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. The integrated unit can be implemented in hardware or in a combination of hardware and software functional units.

[0077] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, a connector, or a network device, etc.) or a processor to execute some steps of the methods described in the various embodiments of this specification. 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.

[0078] The above description is merely a preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this specification should be included within the scope of protection of this specification.

[0079] The same or similar parts between the various embodiments in this specification can be referred to mutually. In particular, the device embodiments and terminal embodiments are basically similar to the method embodiments, so the description is relatively simple, and the relevant parts can be referred to the description in the method embodiments.

Claims

1. A battery cooling method, characterized in that, include: Acquire the ambient temperature and the target battery's current temperature and state of charge; Based on the physical parameters of the target battery and the charging parameters of the target battery at the current moment, determine the heat generation power and heat dissipation power of the target battery at the current moment. Based on the heat generation power, the heat dissipation power, and the thermophysical parameters of the target battery, the predicted temperature of the target battery in the first time period in the future is calculated. If the predicted temperature is greater than the preset optimal charging temperature, the cooling power of the cooling system is increased; if the predicted temperature is less than or equal to the optimal charging temperature, the cooling power of the cooling system is not increased; wherein, the cooling system is used to cool the target battery.

2. The method according to claim 1, characterized in that, The charging parameters include a requested current and a requested voltage, which are determined based on the state of charge, the temperature, and a preset charging strategy.

3. The method according to claim 2, characterized in that, The physical parameters of the target battery include its internal resistance, and determining the heat generation power of the target battery at the current moment includes: The heat generation power is determined based on the requested current, the requested voltage, the internal resistance, and the coulombic efficiency.

4. The method according to claim 1, characterized in that, The physical parameters of the target battery include its surface area and heat transfer coefficient. Determining the heat dissipation power of the target battery at the current moment includes: Determine a first difference between the temperature and the ambient temperature; The heat dissipation power is determined based on the first difference, the surface area, and the heat transfer coefficient.

5. The method according to claim 1, characterized in that, The thermophysical parameters include the specific heat capacity and mass of the target battery, and the calculation of the predicted temperature of the target battery within a future first time period includes: The predicted temperature of the target battery within the first future time period is calculated based on the heat generation power, the heat dissipation power, the specific heat capacity, and the mass.

6. The method according to claim 1, characterized in that, The thermophysical parameters include the specific heat capacity and mass of the target battery, and the increase in cooling power of the cooling system includes: The requested cooling power is determined based on the specific heat capacity, the mass, the predicted temperature, the optimal charging temperature, and the preset cooling time. Control the cooling system to operate according to the requested cooling power.

7. The method according to claim 6, characterized in that, Determining the requested cooling power based on the specific heat capacity, the mass, the predicted temperature, the optimal charging temperature, and the preset cooling time includes: Based on the specific heat capacity, mass, predicted temperature, and optimal charging temperature of the target battery, calculate the amount of cooling required to cool the target battery from the predicted temperature to the optimal charging temperature. The requested cooling power is determined based on the cooling capacity and the preset cooling time.

8. A battery cooling device, characterized in that, include: The acquisition module is used to acquire the ambient temperature and the current temperature and state of charge of the target battery. The determining module is used to determine the heat generation power and heat dissipation power of the target battery at the current moment based on the physical parameters of the target battery and the charging parameters of the target battery at the current moment. The calculation module is used to calculate the predicted temperature of the target battery in the future first time period based on the heat generation power, the heat dissipation power and the thermophysical parameters of the target battery; A control module is configured to increase the cooling power of the cooling system when the predicted temperature is greater than the preset optimal charging temperature; and not increase the cooling power of the cooling system when the predicted temperature is less than or equal to the optimal charging temperature; wherein the cooling system is used to cool the target battery.

9. An electronic device, characterized in that, include: At least one processor; as well as At least one memory communicatively connected to the processor, wherein: The memory stores program instructions that can be executed by the processor, and the processor can execute the method according to any one of claims 1 to 7 by calling the program instructions.

10. A computer-readable storage medium storing computer instructions that cause the computer to perform the method according to any one of claims 1 to 7.

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