Charging method and device of power battery, vehicle and storage medium

Abstract

The application relates to the technical field of power batteries, in particular to a power battery charging method and device, a vehicle and a storage medium, wherein the method comprises the following steps: acquiring a current state of charge (SOC) and a charging temperature of a power battery; inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model to output an optimal comprehensive satisfaction degree of a charging time and capacity attenuation of the power battery, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on a charging time satisfaction function and a capacity attenuation satisfaction function; and charging the power battery according to a charging current corresponding to the optimal comprehensive satisfaction degree. Therefore, the problem that, in the related art, the size of the charging current is not considered when the power battery is charged, thereby reducing the service life of the battery and the like is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lithium-ion power batteries, and in particular relates to a charging method and device for a power battery, a vehicle and a storage medium. BACKGROUND

[0002] With the rapid development of new energy electric vehicles, the problems of short endurance mileage and limited endurance time of power batteries are becoming increasingly prominent. It is found through research that lithium batteries are the most suitable storage batteries for electric vehicles as power sources at present. However, there is still no suitable charging strategy to solve the problems of shortening the charging time and prolonging the service life of lithium batteries.

[0003] In related technologies, a method and device for determining a charging strategy are proposed, which include predicting the charging time of a target vehicle according to the current charging parameters of the target vehicle after obtaining the current charging parameters of the target vehicle, and determining the charging strategy of the target vehicle according to the charging time and the remaining power of the target vehicle. However, the related technologies do not comprehensively consider the influence of the charging current on the service life of the battery when determining the charging strategy, which may lead to the shortening of the service life of the battery. SUMMARY

[0004] The present application provides a charging method and device for a power battery, a vehicle and a storage medium to solve the problems of insufficient consideration of the size of the charging current when charging the power battery in related technologies, thereby reducing the service life of the battery.

[0005] The first aspect of the present application provides a charging method for a power battery, including the following steps: obtaining the current state of charge SOC and charging temperature of the power battery; inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model to output the optimal comprehensive satisfaction of the charging time and capacity attenuation of the power battery, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on a charging time satisfaction function and a capacity attenuation satisfaction function; and charging the power battery according to the charging current corresponding to the optimal comprehensive satisfaction.

[0006] According to the above technical means, the embodiments of the present application can establish a comprehensive satisfaction model and input the current state of charge SOC and the charging temperature, thereby obtaining the optimal comprehensive satisfaction of the charging time and capacity attenuation, which can be used as the optimal charging strategy. Then, the power battery is charged according to the corresponding charging current, which can effectively optimize the charging time and the service life of the battery, thereby achieving the effect of shortening the charging time while improving the charging efficiency and the service life of the battery.

[0007] Optionally, in an embodiment of the present application, the process of calculating the comprehensive satisfaction degree comprises: calculating the charging time satisfaction degree of the power battery by using the charging time satisfaction function, the SOC and the charging current; calculating the capacity attenuation satisfaction degree of the power battery by using the capacity attenuation satisfaction function, the charging temperature and the charging current; and calculating the comprehensive satisfaction degree of the power battery during charging according to the respective weights of the charging time satisfaction degree and the capacity attenuation satisfaction degree.

[0008] According to the above technical means, the embodiment of the present application can first calculate the charging time satisfaction degree and the capacity attenuation satisfaction degree of the power battery, thereby providing numerical conditions for subsequent calculation of the comprehensive satisfaction degree, and the calculation of the comprehensive satisfaction degree can provide a suitable charging strategy for subsequent charging.

[0009] Optionally, in an embodiment of the present application, the process of inputting the current SOC and the charging temperature into the pre-established comprehensive satisfaction degree model to output the optimal comprehensive satisfaction degree of the charging time and the capacity attenuation of the power battery comprises: performing optimal solving on the comprehensive satisfaction degree function with the current SOC and the charging temperature as constraint conditions to obtain the optimal comprehensive satisfaction degree, wherein the maximum value of all the calculated comprehensive satisfaction degrees is taken as the optimal solution.

[0010] According to the above technical means, the embodiment of the present application can calculate all the comprehensive satisfaction degrees based on the current SOC and the charging temperature, and take the maximum value thereof, thereby obtaining the optimal charging strategy for charging the power battery.

[0011] Optionally, in an embodiment of the present application, the process of establishing the charging time satisfaction function comprises: taking the charging time of the power battery as a target function, changing the charging current at intervals of a preset SOC to obtain a plurality of step change currents; calculating the charging time of each step according to the change current of each step, accumulating the charging time of each step to obtain a total charging time, and establishing the charging time satisfaction function according to the preset charging time satisfaction degree interval and the total charging time.

[0012] According to the above technical means, the embodiment of the present application can obtain a plurality of step change currents by a preset SOC, calculate the charging time of each step to accumulate the total charging time, and obtain the charging time satisfaction function in combination with the preset charging time satisfaction degree interval, thereby improving the accuracy of the calculation of the total charging time and the charging time satisfaction function.

[0013] Optionally, in one embodiment of this application, the process of establishing the capacity decay satisfaction function includes: establishing a cycle life model of the power battery based on temperature and charging current; determining the exponential relationship between charging current and cycle capacity influence coefficient based on the cycle life model, performing exponential fitting on the exponential relationship, and performing constant fitting on the exponential relationship at different temperatures to obtain a cycle capacity decay model; and establishing the capacity decay satisfaction function based on a preset capacity decay satisfaction range and the cycle capacity decay model.

[0014] Based on the above technical means, the embodiments of this application can effectively improve the accuracy of the cyclic capacity decay model by fitting different exponential relationships through exponential fitting and constant fitting methods.

[0015] A second aspect of this application provides a charging device for a power battery, comprising: an acquisition module for acquiring the current state of charge (SOC) and charging temperature of the power battery; an execution module for inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model and outputting an optimal comprehensive satisfaction of the power battery's charging time and capacity decay, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on a charging time satisfaction function and a capacity decay satisfaction function; and a charging module for charging the power battery according to the charging current corresponding to the optimal comprehensive satisfaction.

[0016] Optionally, in one embodiment of this application, the execution module is further configured to: calculate the charging time satisfaction of the power battery using the charging time satisfaction function, SOC, and charging current; calculate the capacity decay satisfaction of the power battery using the capacity decay satisfaction function, charging temperature, and charging current; and calculate the overall satisfaction of the power battery during charging based on the respective weights of the charging time satisfaction and the capacity decay satisfaction.

[0017] Optionally, in one embodiment of this application, the execution module is further configured to: use the current SOC and the charging temperature as constraints to optimally solve the comprehensive satisfaction function to obtain the optimal comprehensive satisfaction, wherein the maximum value among all the obtained comprehensive satisfaction is taken as the optimal solution.

[0018] Optionally, in one embodiment of this application, the execution module is further configured to: use the charging time of the power battery as the objective function, change the charging current once at a preset SOC interval to obtain a multi-step changing current; calculate the charging time of each step according to the changing current of each step, accumulate the charging time of each step to obtain the total charging time, and establish the charging time satisfaction function according to the preset charging time satisfaction interval and the total charging time.

[0019] Optionally, in one embodiment of this application, the execution module is further configured to: establish a cycle life model of the power battery based on temperature and charging current; determine an exponential relationship between charging current and cycle capacity influence coefficient based on the cycle life model, perform exponential fitting on the exponential relationship, and perform constant fitting on the exponential relationship at different temperatures to obtain a cycle capacity decay model; and establish a capacity decay satisfaction function based on a preset capacity decay satisfaction range and the cycle capacity decay model.

[0020] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the charging method for a power battery as described in the above embodiments.

[0021] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the charging method for a power battery as described in the above embodiments.

[0022] Therefore, this application has at least the following beneficial effects:

[0023] 1. The embodiments of this application can establish a comprehensive satisfaction model and input the current state of charge (SOC) and charging temperature to obtain the optimal comprehensive satisfaction between charging time and capacity decay. This can be used as the optimal charging strategy, and the power battery can be charged according to the corresponding charging current. This can effectively optimize charging time and battery life, thereby achieving the effect of shortening charging time while improving charging efficiency and battery life.

[0024] 2. In this embodiment, the charging time satisfaction and capacity decay satisfaction of the power battery can be calculated separately first, thereby providing numerical conditions for the subsequent calculation of the overall satisfaction. The calculation of the overall satisfaction can provide a suitable charging strategy for the subsequent charging.

[0025] 3. The embodiments of this application can calculate all comprehensive satisfaction based on the current SOC and charging temperature, and take the maximum value to obtain the optimal charging strategy for charging the power battery.

[0026] 4. In this embodiment, the current can be changed in multiple steps by preset SOC, and the charging time of each step can be calculated and accumulated to obtain the total charging time. Combined with the preset charging time satisfaction interval, the charging time satisfaction function is obtained. The total charging time is obtained by interval and accumulation method, which improves the accuracy of calculation and thus improves the accuracy of the charging time satisfaction function.

[0027] 5. The embodiments of this application use exponential fitting and constant fitting methods to fit different exponential relationships, which can effectively improve the accuracy of the cyclic capacity decay model.

[0028] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0029] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0030] Figure 1 This is a flowchart of a charging method for a power battery according to an embodiment of this application;

[0031] Figure 2 This is a schematic diagram of a lithium battery charging time function provided according to an embodiment of this application;

[0032] Figure 3 This is a schematic diagram of a lithium-ion power battery cycle life model provided according to an embodiment of this application;

[0033] Figure 4 This is a schematic diagram of the comprehensive satisfaction function provided according to an embodiment of this application;

[0034] Figure 5 This is an example diagram of a charging device for a power battery provided according to an embodiment of this application;

[0035] Figure 6 This is a structural schematic diagram of a vehicle provided according to an embodiment of this application. Detailed Implementation

[0036] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0037] The following description, with reference to the accompanying drawings, details a charging method, apparatus, vehicle, and storage medium for a power battery according to embodiments of this application. Addressing the problems mentioned in the background section, this application provides a method for optimizing charging time and battery life by adjusting a charging strategy. In this method, a battery charging strategy table is used as the charging boundary; the charging characteristics of the battery are analyzed; an equivalent circuit model of a lithium battery is combined with the model to construct a charging time function and a battery cycle life model; the charging strategy table is used as the corresponding constraint condition to determine the charging current during the charging process, thereby optimizing both charging time and battery life.

[0038] Specifically, Figure 1 This is a schematic flowchart illustrating a charging method for a power battery provided in an embodiment of this application.

[0039] like Figure 1 As shown, the charging method for this power battery includes the following steps:

[0040] In step S101, the current state of charge (SOC) and charging temperature of the power battery are obtained.

[0041] In this embodiment of the application, the current state of charge (SOC) and charging temperature can be obtained by directly detecting the power battery.

[0042] In step S102, the current SOC and charging temperature are input into a pre-established comprehensive satisfaction model, and the optimal comprehensive satisfaction of the charging time and capacity decay of the power battery is output. The comprehensive satisfaction model is a comprehensive satisfaction function established based on the charging time satisfaction function and the capacity decay satisfaction function.

[0043] It is understood that the embodiments of this application can establish a comprehensive satisfaction model and input the current state of charge (SOC) and charging temperature to obtain the optimal comprehensive satisfaction between charging time and capacity decay. This can be used as the optimal charging strategy to effectively optimize charging time and battery life, thereby achieving the effect of improving charging efficiency and battery life while shortening charging time.

[0044] Optionally, in one embodiment of this application, the process of establishing the charging time satisfaction function includes: taking the charging time of the power battery as the objective function, changing the charging current once at a preset SOC interval to obtain a multi-step changing current; calculating the charging time of each step based on the changing current of each step, accumulating the charging time of each step to obtain the total charging time, and establishing the charging time satisfaction function based on the preset charging time satisfaction interval and the total charging time.

[0045] The preset SOC can be set according to the actual situation, such as 3% SOC, without specific limitations.

[0046] The preset charging time satisfaction range can be set according to the actual situation, such as 0 to 0.5, without specific limitation.

[0047] It is understood that the embodiments of this application can obtain multi-step changing current by preset SOC, calculate the charging time of each step and accumulate it to obtain the total charging time, combine it with the preset charging time satisfaction interval to obtain the charging time satisfaction function, and obtain the total charging time by interval and accumulation method, thereby improving the accuracy of calculation and thus improving the accuracy of the charging time satisfaction function.

[0048] Specifically, for power lithium batteries with different initial SOCs, determine the charging current variation range according to the charging strategy table, and implement binary encoding for all current individuals in each constant-current charging stage. All individuals form a population. Among them, the charging current can set 1 population every 0.1C, and all individual currents take values within the range of the charging strategy table.

[0049] Among them, the establishment of the charging time satisfaction function includes the following content:

[0050] (1) As Figure 2 shown, take the lithium battery charging time as the objective function, change the charging current every certain ΔSOC, and assume that it takes N steps to change the current from charging 0% SOC to charging 100% SOC. Without considering pre-charging, the relationship between N and ΔSOC is:

[0051]

[0052] (2) The charging time tp at the k-th step is:

[0053]

[0054] Among them, the battery charging capacity Q is based on the 0.1C charging capacity.

[0055] (3) The total charging time t is:

[0056]

[0057] (4) Establish a satisfaction function for the total charging time. Assume that the set charging time target value is t1, the relatively satisfactory charging time target value is t2, and the unsatisfactory charging time target value is t3, and t1 < t2 < t3. Among them, 0 - t1 is the satisfactory area, t1 - t2 is the relatively satisfactory area, and t2 - t3 is the out-of-control area. Therefore, the expression of the lithium battery charging time satisfaction function δ1 is:

[0058]

[0059] Among them, the corresponding lithium battery charging time satisfaction is calculated using the lithium battery charging time satisfaction function δ1. The larger the charging time satisfaction value, the closer it is to 1, and the more its charging time meets the user's expectations.

[0060] Optionally, in one embodiment of this application, the process of establishing the capacity decay satisfaction function includes: establishing a cycle life model of the power battery based on temperature and charging current; determining the exponential relationship between charging current and cycle capacity influence coefficient based on the cycle life model, performing exponential fitting on the exponential relationship, and performing constant fitting on the exponential relationship at different temperatures to obtain a cycle capacity decay model; and establishing a capacity decay satisfaction function based on a preset capacity decay satisfaction range and the cycle capacity decay model.

[0061] The preset capacity decay satisfaction range can be set according to your own actual situation, such as 0.5 to 1, without specific limitation.

[0062] It is understood that the embodiments of this application use the exponential fitting method to fit the exponential relationship determined by the cycle life model, and use the constant fitting method to fit the above exponential relationship at different temperatures, which can effectively improve the accuracy of the cycle capacity decay model.

[0063] Specifically, based on the Arrhenius model, with temperature and charging current as accelerating factors, the charging current being the average of all currents in the above charging stages, and battery capacity as a lifespan characteristic, a cycle life model for lithium-ion power batteries is established.

[0064] The establishment of the capacity decay satisfaction function includes the following:

[0065] (1) As Figure 3 As shown, the cycle life model for lithium-ion power batteries is as follows:

[0066]

[0067] Where θ1 is the lifetime characteristic quantity; A is a constant; Ea is the activation energy, the value of which is determined by the material; K is the Boltzmann constant; and T is the absolute temperature.

[0068]

[0069] Where B and C are constants, and S is the charging current.

[0070] (2) Combining step (1), it can be seen that the charging current and the cycle capacity influence coefficient have an exponential relationship:

[0071] r = a1 * exp(a2 * I rate )

[0072] Where Irate refers to the charging current expressed in terms of the battery's rated capacity; a1 and a2 are constants.

[0073] (3) Establish a mathematical model between the charging current (Ah) of the power battery and the battery capacity decay rate. Use Ah to replace the number of cycles of the power battery. Then use the least squares method to perform exponential fitting on the influence coefficient of the charging current and the cycle capacity as shown in step (2). This way, the relationship between the cycle capacity of the power battery at a fixed temperature and different charging currents can be obtained. Finally, the least squares method is used to fit a1 and a2 at different temperatures respectively. The relationship between a1 and absolute temperature can be obtained, which satisfies the quadratic polynomial b1·T2+b2·T+b3. The relationship between a2 and temperature satisfies the linear relationship b4·T+b5.

[0074] (4) The cycle capacity decay model of a single lithium-ion power battery cell is as follows:

[0075] Q loss / % = (b1·T) 2 +b2·T+b3)·exp[(b4·T+b5)·I rate Ah

[0076] (5) Assume that a target value for capacity decay is set as Q1, a relatively satisfactory target value for capacity decay is Q2, and an unsatisfactory target value for capacity decay is Q3, and Q1 < Q2 < Q3, where 0-Q1 is the satisfactory region, Q1-Q2 is the relatively satisfactory region, and Q2-Q3 is the uncontrolled region. Therefore, the expression for the lithium battery capacity decay satisfaction function δ2 is:

[0077]

[0078] Among them, the capacity decay satisfaction is calculated using the lithium battery capacity decay satisfaction function δ2. The larger the satisfaction value, the closer it is to 1, and the closer the lithium battery cycle capacity decay value is to the user's expected value.

[0079] Optionally, in one embodiment of this application, the calculation process of the overall satisfaction includes: calculating the charging time satisfaction of the power battery using a charging time satisfaction function, SOC, and charging current; calculating the capacity decay satisfaction of the power battery using a capacity decay satisfaction function, charging temperature, and charging current; and calculating the overall satisfaction of the power battery during charging based on the respective weights of the charging time satisfaction and capacity decay satisfaction.

[0080] It is understood that the embodiments of this application can first calculate the charging time satisfaction and capacity decay satisfaction of the power battery separately, thereby providing numerical conditions for the subsequent calculation of the overall satisfaction. The calculation of the overall satisfaction can provide a suitable charging strategy for the subsequent charging.

[0081] Specifically, such as Figure 4 As shown, the overall satisfaction function γ is established as follows:

[0082] γ=xδ1+(1-x)δ2

[0083] The overall satisfaction function comprises two parts: total charging time and lithium battery cycle capacity decay. It calculates the overall satisfaction by summing the different weighting ratios of the charging time and cycle capacity decay satisfaction functions. Shorter total charging time and smaller cycle capacity decay are both desirable. Reducing the total charging time requires a larger charging current, but this also increases the impact on cycle capacity decay. Therefore, reducing cycle capacity decay necessitates a smaller charging current.

[0084] Optionally, in one embodiment of this application, the current SOC and charging temperature are input into a pre-established comprehensive satisfaction model, and the optimal comprehensive satisfaction of the charging time and capacity decay of the power battery is output. This includes: using the current SOC and charging temperature as constraints, optimally solving the comprehensive satisfaction function to obtain the optimal comprehensive satisfaction, wherein the maximum value among all the obtained comprehensive satisfaction is taken as the optimal solution.

[0085] It is understood that the embodiments of this application can calculate all comprehensive satisfaction based on the current SOC and charging temperature, and take the maximum value to obtain the optimal charging strategy for charging the power battery.

[0086] Specifically, by calculating the comprehensive satisfaction function, if the value of γ is larger and closer to 1, the control target is closer to the expected value, and the corresponding charging current result should be retained; conversely, if the value of γ is closer to 0, the control target has not reached the expected value, and the corresponding charging current value should be discarded. Finally, the number with the largest γ value is the optimal comprehensive satisfaction.

[0087] In step S103, the power battery is charged according to the charging current corresponding to the optimal overall satisfaction.

[0088] It is understood that the embodiments of this application use the charging current corresponding to the optimal overall satisfaction to charge the power battery, which can effectively optimize the charging time and battery life, thereby achieving the effect of shortening the charging time while improving the charging efficiency and battery life.

[0089] According to the power battery charging method proposed in the embodiments of this application, by balancing the charging speed and cycle life of the battery, the charging capacity can be increased as much as possible while ensuring the charging speed, reducing the impact on the life of the power battery, and improving the charging efficiency. The overall satisfaction is obtained by using the charging time and cycle capacity decay satisfaction function, and finally a suitable power battery charging strategy is selected, which can effectively improve the battery life while shortening the charging time.

[0090] Next, a charging device for a power battery according to an embodiment of this application is described with reference to the accompanying drawings.

[0091] Figure 5 This is a block diagram of a charging device for a power battery according to an embodiment of this application.

[0092] like Figure 5 As shown, the charging device 10 for the power battery includes: an acquisition module 100, an execution module 200, and a charging module 300.

[0093] The acquisition module 100 is used to acquire the current state of charge (SOC) and charging temperature of the power battery; the execution module 200 is used to input the current SOC and charging temperature into a pre-established comprehensive satisfaction model and output the optimal comprehensive satisfaction of the power battery's charging time and capacity decay, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on the charging time satisfaction function and the capacity decay satisfaction function; the charging module 300 is used to charge the power battery according to the charging current corresponding to the optimal comprehensive satisfaction.

[0094] Optionally, in one embodiment of this application, the execution module 200 is further configured to: calculate the charging time satisfaction of the power battery using the charging time satisfaction function, SOC and charging current; calculate the capacity decay satisfaction of the power battery using the capacity decay satisfaction function, charging temperature and charging current; and calculate the overall satisfaction of the power battery during charging based on the respective weights of the charging time satisfaction and capacity decay satisfaction.

[0095] Optionally, in one embodiment of this application, the execution module 200 is further configured to: use the current SOC and charging temperature as constraints to perform optimal solution on the comprehensive satisfaction function to obtain the optimal comprehensive satisfaction, wherein the maximum value among all the obtained comprehensive satisfaction is taken as the optimal solution.

[0096] Optionally, in one embodiment of this application, the execution module 200 is further configured to: use the charging time of the power battery as the objective function, change the charging current once at a preset SOC interval to obtain a multi-step changing current; calculate the charging time of each step according to the changing current of each step, accumulate the charging time of each step to obtain the total charging time, and establish a charging time satisfaction function according to a preset charging time satisfaction interval and the total charging time.

[0097] Optionally, in one embodiment of this application, the execution module 200 is further configured to: establish a cycle life model of the power battery based on temperature and charging current; determine the exponential relationship between charging current and cycle capacity influence coefficient based on the cycle life model, perform exponential fitting on the exponential relationship, and perform constant fitting on the exponential relationship at different temperatures to obtain a cycle capacity decay model; and establish a capacity decay satisfaction function based on a preset capacity decay satisfaction range and the cycle capacity decay model.

[0098] It should be noted that the foregoing explanation of the charging method embodiment for the power battery also applies to the charging device for the power battery in this embodiment, and will not be repeated here.

[0099] According to the power battery charging device proposed in the embodiments of this application, by taking into account both the speed of battery charging and cycle life, it can maximize the charging capacity and minimize the impact on the life of the power battery while ensuring the charging speed, thereby improving the charging efficiency. By using the charging time and cycle capacity decay satisfaction function to obtain the overall satisfaction, a suitable power battery charging strategy can be selected, which can effectively improve the battery life while shortening the charging time.

[0100] Figure 6 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include:

[0101] The memory 601, the processor 602, and the computer program stored on the memory 601 and capable of running on the processor 602.

[0102] When the processor 602 executes the program, it implements the power battery charging method provided in the above embodiments.

[0103] Furthermore, the vehicle also includes:

[0104] Communication interface 603 is used for communication between memory 601 and processor 602.

[0105] The memory 601 is used to store computer programs that can run on the processor 602.

[0106] The memory 601 may include high-speed RAM (Random Access Memory) memory, and may also include non-volatile memory, such as at least one disk storage.

[0107] If the memory 601, processor 602, and communication interface 603 are implemented independently, then the communication interface 603, memory 601, and processor 602 can be interconnected via a bus to complete communication between them. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0108] Optionally, in a specific implementation, if the memory 601, processor 602, and communication interface 603 are integrated on a single chip, then the memory 601, processor 602, and communication interface 603 can communicate with each other through an internal interface.

[0109] The processor 602 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of this application.

[0110] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described charging method for a power battery.

[0111] 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 application. 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.

[0112] 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 application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0113] 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 N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application 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 should be understood by those skilled in the art to which embodiments of this application pertain.

[0114] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (FPGAs), field-programmable gate arrays (FPGAs), etc.

[0115] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments.

[0116] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A method for charging a power battery, characterized in that, Includes the following steps: Obtain the current state of charge (SOC) and charging temperature of the power battery; The current SOC and the charging temperature are input into a pre-established comprehensive satisfaction model, and the optimal comprehensive satisfaction of the charging time and capacity decay of the power battery is output. The comprehensive satisfaction model is a comprehensive satisfaction function established based on the charging time satisfaction function and the capacity decay satisfaction function. The power battery is charged according to the charging current corresponding to the optimal overall satisfaction. The calculation process for overall satisfaction includes: The charging time satisfaction of the power battery is calculated using the charging time satisfaction function, SOC, and charging current. The capacity decay satisfaction of the power battery is calculated using the aforementioned capacity decay satisfaction function, charging temperature, and charging current. The overall satisfaction level of the power battery during charging is calculated based on the respective weights of the charging time satisfaction level and the capacity decay satisfaction level.

2. The method according to claim 1, characterized in that, The step of inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model, and outputting the optimal comprehensive satisfaction of the power battery's charging time and capacity degradation, includes: Using the current SOC and the charging temperature as constraints, the comprehensive satisfaction function is optimally solved to obtain the optimal comprehensive satisfaction. The maximum value among all the obtained comprehensive satisfaction is taken as the optimal solution.

3. The method according to claim 1, characterized in that, The process of establishing the charging time satisfaction function includes: Using the charging time of the power battery as the objective function, the charging current is changed once at a preset SOC interval to obtain a multi-step changing current; The charging time for each step is calculated based on the changing current at each step. The total charging time is obtained by summing the charging times of each step. The charging time satisfaction function is then established based on the preset charging time satisfaction range and the total charging time.

4. The method according to claim 1, characterized in that, The process of establishing the capacity decay satisfaction function includes: A cycle life model of the power battery is established based on temperature and charging current. Based on the cycle life model, an exponential relationship between the charging current and the cycle capacity influence coefficient is determined. The exponential relationship is then subjected to exponential fitting, and the exponential relationship is subjected to constant fitting at different temperatures to obtain the cycle capacity decay model. The capacity decay satisfaction function is established based on the preset capacity decay satisfaction range and the cyclic capacity decay model.

5. A charging device for a power battery, characterized in that, include: The acquisition module is used to acquire the current state of charge (SOC) and charging temperature of the power battery. The execution module is used to input the current SOC and the charging temperature into a pre-established comprehensive satisfaction model, and output the optimal comprehensive satisfaction of the charging time and capacity decay of the power battery. The comprehensive satisfaction model is a comprehensive satisfaction function established based on the charging time satisfaction function and the capacity decay satisfaction function. A charging module is used to charge the power battery according to the charging current corresponding to the optimal overall satisfaction. The execution module is further used for: The charging time satisfaction of the power battery is calculated using the charging time satisfaction function, SOC, and charging current. The capacity decay satisfaction of the power battery is calculated using the aforementioned capacity decay satisfaction function, charging temperature, and charging current. The overall satisfaction level of the power battery during charging is calculated based on the respective weights of the charging time satisfaction level and the capacity decay satisfaction level.

6. The apparatus according to claim 5, characterized in that, The execution module is further used for: Using the current SOC and the charging temperature as constraints, the comprehensive satisfaction function is optimally solved to obtain the optimal comprehensive satisfaction. The maximum value among all the obtained comprehensive satisfaction is taken as the optimal solution.

7. A vehicle, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the charging method for a power battery as described in any one of claims 1-4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the charging method for the power battery as described in any one of claims 1-4.

Images