A method and apparatus for optimizing a charging scheme

Abstract

The application discloses a kind of optimization method and device of charging scheme, the method includes: obtaining the charging current cloud atlas of battery, and division fast charging area, wherein the charging rate of the fast charging area is greater than rate threshold value;Current charging condition curve of current charging scheme is obtained, and is shown in the charging current cloud atlas;According to the current charging condition curve in the charging current cloud atlas, obtain optimization charging condition curve, wherein the charge amount obtained in the fast charging area reaches optimization requirement;According to the optimization charging condition curve, obtain optimization charging scheme.The optimization method of the application can intuitively evaluate the pros and cons of current charging strategy and optimization direction in the optimization process, so as to provide guidance for improving charging scheme, improve charging time.

Description

Technical Field

[0001] This invention relates to the technical field of battery charging control, and more particularly to a method and apparatus for optimizing a charging scheme. Background Technology

[0002] Current fast-charging technology for power batteries is primarily constrained by the battery's own electrochemical characteristics. Battery temperature and the battery's current SOC (State of Charge) are the decisive factors affecting the instantaneous charging speed. For the charging of the entire battery pack in new energy vehicles, the battery's heat generation must be considered during charging. The goal is to maintain the temperature within a reasonable range while maximizing the charging speed. Current methods mainly rely on the battery's charging strategy table to evaluate the charging current at each stage. Then, based on the heat generation and temperature rise at each stage, the charging current is balanced to optimize fast-charging time.

[0003] Based on the fast charging current graph, the corresponding current is output under different temperatures and voltages. The current between the values ​​in the two tables is generally calculated using interpolation before input. This method may result in situations where the charging speed is not fully improved in some charging stages, and simply judging from the tables of current, voltage, and SOC is not clear or intuitive enough.

[0004] Therefore, how to optimize the current charging solutions more intuitively is a technical problem that urgently needs to be solved. Summary of the Invention

[0005] The present invention provides a method and apparatus for optimizing a charging scheme, so as to optimize the current charging scheme more intuitively.

[0006] The embodiments of the present invention provide the following solutions:

[0007] In a first aspect, embodiments of the present invention provide a method for optimizing a charging scheme, the method comprising:

[0008] Obtain the charging current cloud map of the battery and divide it into fast charging regions, wherein the charging rate of the fast charging region is greater than the rate threshold.

[0009] Obtain the current charging condition curve of the current charging scheme and display it in the charging current cloud diagram;

[0010] Based on the current charging condition curve in the charging current cloud diagram, an optimized charging condition curve is obtained, wherein the amount of charge obtained by the optimized charging condition curve in the fast charging region meets the optimization requirements.

[0011] Based on the optimized charging condition curve, an optimized charging scheme is obtained.

[0012] In one optional embodiment, obtaining the battery charging current cloud map includes:

[0013] Obtain the charging strategy table for the battery;

[0014] The charging current cloud map is obtained based on the charging current information, charging temperature information, and charging voltage information in the charging strategy table.

[0015] In one optional embodiment, obtaining the current charging condition curve of the current charging scheme includes:

[0016] Acquire the voltage change data or charge change data of the battery in the current charging scheme, as well as the temperature change data;

[0017] Based on the voltage change data or temperature change data, and the temperature change data, the current charging condition curve is obtained by fitting and calculating.

[0018] In one optional embodiment, obtaining the optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes:

[0019] Obtain the first current state where the current charging condition curve is located in the fast charging region;

[0020] Adjust the current limit of the charging strategy table according to the first current state to obtain the optimized charging condition curve.

[0021] In one optional embodiment, obtaining the optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes:

[0022] The current charging condition curves of multiple current charging schemes are displayed in the charging current cloud diagram;

[0023] Based on multiple current charging condition curves in the fast charging region, an optimized charging condition curve is determined, wherein the optimized charging condition curve is the curve that obtains the most charge in the fast charging region among the multiple current charging condition curves.

[0024] In one optional embodiment, obtaining the optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes:

[0025] Obtain the second current state where the current charging condition curve is located in the fast charging region;

[0026] Adjust the battery temperature of the current charging scheme according to the second current state to obtain the optimized charging condition curve.

[0027] In an optional embodiment, after obtaining the optimized charging scheme based on the optimized charging condition curve, the method further includes:

[0028] Determine whether the charging temperature of the optimized charging scheme meets the safe temperature limit of the battery;

[0029] If so, select the optimized charging scheme to charge the battery;

[0030] If not, continue to optimize the current charging scheme.

[0031] Secondly, embodiments of the present invention also provide a charging scheme optimization device, the device comprising:

[0032] The first acquisition module is used to acquire the charging current cloud map of the battery and divide the fast charging area, wherein the charging current of the fast charging area is greater than the fast charging current threshold.

[0033] The second acquisition module is used to acquire the current charging condition curve of the current charging scheme and display it in the charging current cloud diagram.

[0034] The first obtaining module is used to obtain an optimized charging condition curve based on the current charging condition curve in the charging current cloud diagram, wherein the amount of charge obtained by the optimized charging condition curve in the fast charging region meets the optimization requirements.

[0035] The second obtaining module is used to obtain an optimized charging scheme based on the optimized charging condition curve.

[0036] In an optional embodiment, the first acquisition module includes:

[0037] The first acquisition submodule is used to acquire the charging strategy table of the battery;

[0038] The second acquisition submodule is used to acquire the charging current cloud map based on the charging current information, charging temperature information and charging voltage information in the charging strategy table.

[0039] In one optional embodiment, the second acquisition module includes:

[0040] The third acquisition submodule is used to acquire the voltage change data or charge change data of the battery in the current charging scheme, as well as the temperature change data.

[0041] The fourth acquisition submodule is used to fit and calculate the current charging condition curve based on the voltage change data or temperature change data, and the temperature change data.

[0042] In an optional embodiment, the first obtaining module includes:

[0043] The first acquisition submodule is used to acquire the first current state of the current charging condition curve being located in the fast charging region;

[0044] The second obtaining submodule is used to adjust the current limit of the charging strategy table according to the first current state to obtain the optimized charging condition curve.

[0045] In an optional embodiment, the first obtaining module includes:

[0046] The first display submodule is used to display multiple current charging condition curves of multiple current charging schemes in the charging current cloud diagram;

[0047] The first confirmation submodule is used to confirm the optimized charging condition curve based on multiple current charging condition curves in the fast charging area, wherein the optimized charging condition curve is the curve that obtains the most charge in the fast charging area among the multiple current charging condition curves.

[0048] In an optional embodiment, the first obtaining module includes:

[0049] The third acquisition submodule is used to obtain the second current state of the current charging condition curve being located in the fast charging region;

[0050] The fourth submodule is used to adjust the battery temperature of the current charging scheme according to the second current state to obtain the optimized charging condition curve.

[0051] In an optional embodiment, the device further includes:

[0052] The judgment module is used to determine whether the charging temperature of the optimized charging scheme meets the safe temperature limit of the battery;

[0053] If so, select the optimized charging scheme to charge the battery;

[0054] If not, continue to optimize the current charging scheme.

[0055] Thirdly, embodiments of the present invention also provide an electronic device, comprising:

[0056] Memory, used to store computer programs;

[0057] A processor for executing the computer program to implement the steps of any of the methods described in the first aspect.

[0058] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described in the first aspect.

[0059] The charging scheme optimization method and apparatus provided by this invention have the following advantages compared with the prior art:

[0060] This invention obtains the battery's charging current cloud map and the current charging condition curve of the current charging scheme. Based on the current charging condition curve in the charging current cloud map, it obtains an optimized charging condition curve that meets the optimization requirements, thereby obtaining an optimized charging scheme. During the optimization process, the advantages and disadvantages of the current charging strategy and the direction of optimization can be intuitively evaluated, thus providing guidance for improving the charging scheme and reducing charging time. Attached Figure Description

[0061] To more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0062] Figure 1 A flowchart illustrating an optimization method for a charging scheme provided in an embodiment of the present invention;

[0063] Figure 2 Charging current cloud diagram provided for embodiments of the present invention;

[0064] Figure 3 A charging current cloud diagram showing the current charging condition curve is provided for embodiments of the present invention;

[0065] Figure 4 A charging current cloud diagram showing multiple current charging condition curves is provided for embodiments of the present invention.

[0066] Figure 5 The low-temperature fast charging provided in this embodiment of the invention displays a charging current cloud map with multiple current charging condition curves;

[0067] Figure 6 The high-temperature fast charging provided in this embodiment of the invention displays a charging current cloud map with multiple current charging condition curves;

[0068] Figure 7 A flowchart of an optimization device for a charging scheme provided in an embodiment of the present invention. Detailed Implementation

[0069] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention are within the protection scope of the embodiments of the present invention.

[0070] Please see Figure 1 , Figure 1 A flowchart of a method for optimizing a charging scheme is provided in this embodiment of the invention. The method includes the following steps:

[0071] S11. Obtain the charging current cloud map of the battery and divide it into fast charging areas, wherein the charging rate of the fast charging area is greater than the rate threshold.

[0072] Specifically, the charging current map (or charging map) is an inherent property of a battery during the charging process, determined by its chemical properties and internal structure. It characterizes the maximum allowable input current during charging under different temperatures and voltages. It can be understood that the amount of charge a battery can hold is fixed; to reduce charging time, the charging scheme needs to use the highest possible current. The fast-charging region, defined based on the charging current map, should also be a high-current region, with a rate threshold of 1.5C. Of course, it can also be freely defined according to the actual performance of the battery.

[0073] In one optional embodiment, obtaining the battery charging current cloud map includes:

[0074] Obtain the charging strategy table for the battery;

[0075] The charging current cloud map is obtained based on the charging current information, charging temperature information, and charging voltage information in the charging strategy table.

[0076] Specifically, the charging strategy table includes charging current, charging temperature, and charging voltage information. This information represents the maximum allowable charging input current for the battery in different temperature and voltage ranges. Temperature ranges can be divided in 5°C increments. To ensure charging safety, charging is generally not permitted in high-temperature or low-temperature regions. High-temperature regions are defined as above 55°C, and low-temperature regions as below -20°C. The charging strategy table can be obtained from the battery manufacturer's instruction manual. Battery manufacturers typically calibrate and verify the maximum allowable charging input current for different temperature and voltage ranges in the charging strategy table, ensuring safety during charging and preventing damage to the battery's internal structure. Therefore, the charging current cloud map can be accurately obtained based on the data in the charging strategy table.

[0077] Those skilled in the art will understand that the acquisition method can establish a one-dimensional equivalent circuit simulation model, arrange the voltage and temperature in the charging strategy table according to the voltage and temperature gradient from smallest to largest, and output the charging current value for each voltage and temperature, resulting in a charging current cloud diagram as shown below. Figure 2 As shown in the figure. The horizontal axis represents temperature, and the vertical axis represents voltage. The central region of the graph, through the varying shades of color, visually indicates which area (voltage, temperature range) allows for the highest possible charging current. The edge regions correspond to high or low temperature areas and are not charged. If it's necessary to increase the charging speed in the central region, the charging point should ideally fall within the darker central area. After obtaining the charging current cloud map, proceed to step S12.

[0078] S12. Obtain the current charging condition curve of the current charging scheme and display it in the charging current cloud diagram.

[0079] Specifically, in the current charging scheme, the battery temperature is initially low, and charging begins with a low current. As the battery temperature and charge increase, the current gradually increases. When the battery is nearly fully charged, the charging rate gradually decreases, returning to low current charging, until the battery is fully charged and reaches the charging cutoff voltage to stop charging. The current charging condition curve includes temperature and voltage information corresponding to the charging current cloud map; therefore, the current charging condition curve can be displayed accordingly in the charging current cloud map. Figure 3 As shown in the figure, the fast charging area 2 is divided according to a 1.5c rate threshold. Figure 3 As shown in the dashed box, the current state of the current charging condition curve 1 as it passes through the fast charging region 2 can be clearly seen. The current charging condition curve 1 is in the fast charging region 2 for a relatively short period of time, so there is a possibility of optimization for the current charging condition curve 1.

[0080] In one optional embodiment, obtaining the current charging condition curve of the current charging scheme includes:

[0081] Acquire the voltage change data or charge change data of the battery in the current charging scheme, as well as the temperature change data;

[0082] Based on the voltage change data or temperature change data, and the temperature change data, the current charging condition curve is obtained by fitting and calculating.

[0083] Specifically, in the current charging scheme, since there is a corresponding relationship between voltage and temperature changes during the charging process, a subset of coordinate points from the voltage and temperature change data can be selected to fit a polynomial and calculate the current charging condition curve. The temperature change data is obtained based on battery feedback during the charging process. It can be understood that the denser the interval between the selected coordinate points, the more accurate the current charging condition curve will be. Of course, the charge amount gradually increases with the extension of charging time, and the current charging condition curve can also be calculated by fitting the charge change data and temperature change data. The charge change data can be obtained by accumulating the measured current data during the charging process. After displaying the current charging condition curve in the charging current cloud map, proceed to step S13.

[0084] S13. Based on the current charging condition curve in the charging current cloud diagram, obtain an optimized charging condition curve, wherein the amount of charge obtained by the optimized charging condition curve in the fast charging region meets the optimization requirements.

[0085] Specifically, to achieve optimization, the current charging scheme must acquire as much charge as possible in the fast-charging region to reduce charging time. An optimized charging curve can be obtained by selecting one from multiple current charging curves for various schemes. Alternatively, adjustments can be made to a current charging scheme to maximize charge acquisition in the fast-charging region. Likewise, a current charging curve can be selected first, followed by optimization adjustments. The following section will explain in detail how to obtain an optimized charging curve.

[0086] In one optional embodiment, obtaining the optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes:

[0087] The current charging condition curves of multiple current charging schemes are displayed in the charging current cloud diagram;

[0088] Based on multiple current charging condition curves in the fast charging region, an optimized charging condition curve is determined, wherein the optimized charging condition curve is the curve that obtains the most charge in the fast charging region among the multiple current charging condition curves.

[0089] For details, please refer to Figure 4 The current charging schemes include a first charging scheme, a second charging scheme, and a third charging scheme. Their current charging condition curves are respectively displayed in the charging current cloud diagram, including the first charging condition curve 1.1, the second charging condition curve 1.2, and the third charging condition curve 1.3. The fast charging region in the diagram includes a low current region 1.4 (shown by the dashed box in the diagram). Figure 4It can be seen that all charging starts at a low temperature. The first charging condition curve 1.1 enters the fast charging region only when the voltage is relatively high, and the amount of charge obtained in the fast charging region is relatively small. The third charging condition curve 1.3 enters the fast charging region relatively early, but passes through the low current region 1.4, and the amount of charge obtained in the fast charging region is relatively moderate. The second charging condition curve 1.2 has a large proportion of the fast charging region and is a more ideal charging condition curve, obtaining the most charge in the fast charging region. Therefore, it can be confirmed as the optimized charging condition curve. Compared with the other two condition curves, the second charging condition curve 1.2 meets the optimization requirements for the amount of charge obtained in the fast charging region.

[0090] In one optional embodiment, obtaining the optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes:

[0091] Obtain the first current state where the current charging condition curve is located in the fast charging region;

[0092] Adjust the current limit of the charging strategy table according to the first current state to obtain the optimized charging condition curve.

[0093] For details, please continue reading. Figure 4 In the diagram, the dashed box represents the low-current region 1.4. To increase the amount of charge obtained by the third charging condition curve 1.3 in the fast-charging region, the current limit of the charging strategy table can be directly adjusted to allow a larger current input under the corresponding voltage and temperature conditions. After adjustment, if the amount of charge obtained by the third charging condition curve 1.3 in the fast-charging region is greater than that of the second charging condition curve 1.2, it can be confirmed that the third charging condition curve 1.3 is the optimized charging condition curve.

[0094] In one optional embodiment, obtaining the optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes:

[0095] Obtain the second current state where the current charging condition curve is located in the fast charging region;

[0096] Adjust the battery temperature of the current charging scheme according to the second current state to obtain the optimized charging condition curve.

[0097] Specifically, without altering the battery cell material properties (keeping the battery cell charging current window unchanged), improving battery fast charging time can be achieved through appropriate thermal management control strategies that ensure the battery is charged at the optimal charging temperature. The initial charging temperature of the battery is related to the ambient temperature, and charging time fluctuates under both high and low temperatures. Thermal management control strategies can control the battery temperature in various ways, allowing charging within a controlled temperature range. Temperature control methods can include heating the battery with a water bath or transferring heat to the battery through a heated thermally conductive material. The optimal charging curves are illustrated using low-temperature fast charging (ambient temperature -7℃) and high-temperature fast charging (ambient temperature 40℃).

[0098] Please see Figure 5 , Figure 5 For the low-temperature fast charging provided in this embodiment of the invention, a charging current cloud map showing multiple current charging condition curves is displayed. The charging schemes corresponding to these curves all start charging at an ambient temperature of -7°C. During the charging process, hot water at 25°C, 30°C, and 35°C is introduced to heat the battery, resulting in three different charging condition curves. As can be seen from the figure, the current charging condition curve with 25°C hot water introduced enters the fast charging region later and obtains relatively less charge in the fast charging region; the current charging condition curve with 35°C hot water introduced enters the fast charging region earlier but leaves it earlier, also obtaining relatively less charge in the fast charging region; the current charging condition curve with 30°C hot water introduced is in the fast charging region and obtains relatively more charge. Therefore, this can be identified as an optimized charging condition curve.

[0099] It should be noted that heating water to different temperatures also involves energy consumption, so a comprehensive evaluation can be conducted in conjunction with thermal management energy consumption. For example, in the above experimental results, the charging time corresponding to introducing 25℃ hot water was 79.4 minutes, the charging time corresponding to introducing 30℃ hot water was 74.5 minutes, and the charging time corresponding to introducing 35℃ hot water was 73.2 minutes. Heating water to 35℃ consumes more electrical energy than heating it to 30℃; therefore, introducing 30℃ hot water is the optimal hot water temperature in the current charging scheme.

[0100] Please see Figure 6 , Figure 6For the high-temperature fast charging provided in this embodiment of the invention, a charging current cloud map showing multiple current charging condition curves is displayed. The charging schemes corresponding to these curves all start charging at an ambient temperature of 40°C. During charging, cooling water at 15°C, 20°C, and 25°C is introduced to cool the battery, resulting in three different charging condition curves. As can be seen from the graph, the 15°C cooling water is relatively close to the fast charging zone, and the charging time is relatively short. However, within the 15-25°C cooling water temperature range, it is insufficient to cool the high-temperature battery cell in fast charging to the optimal charging zone. This indicates that the cooling system is insufficient to release the battery's fast charging capability under high-temperature conditions. The battery temperature can be lowered to a reasonable range by increasing the cooling water flow rate and decreasing the cooling water temperature, allowing the current charging condition curve to pass through the fast charging zone, thereby reducing the charging time and identifying the optimized charging condition curve. After obtaining the optimized charging condition curve, proceed to step S14.

[0101] S14. Obtain an optimized charging scheme based on the optimized charging condition curve.

[0102] Specifically, after obtaining the optimized charging condition curve, the corresponding relationship between charging voltage, charging temperature, and charging current during the charging process is confirmed, thus revealing the charging strategy for the battery to quickly complete charging. It is understood that the optimization method of this embodiment can also be applied to optimize the charging scheme for vehicle battery packs.

[0103] In an optional embodiment, after obtaining the optimized charging scheme based on the optimized charging condition curve, the method further includes:

[0104] Determine whether the charging temperature of the optimized charging scheme meets the safe temperature limit of the battery;

[0105] If so, select the optimized charging scheme to charge the battery;

[0106] If not, continue to optimize the current charging scheme.

[0107] Specifically, the safe temperature limit is the area within which the battery can be safely charged. Charging within this limit ensures a safe charging process; conversely, charging outside this limit may pose safety risks. Further determining whether the optimized charging scheme's charging temperature meets the battery's safe temperature limit ensures that the optimized charging method meets safety requirements. If the current optimized charging scheme's charging temperature does not meet the safe temperature limit, optimization continues until a suitable optimized charging scheme is obtained that meets the safety requirements of the charging process.

[0108] Based on the same inventive concept as the optimization method, embodiments of the present invention also provide an optimization device for a charging scheme, such as... Figure 7 As shown, the device includes:

[0109] The first acquisition module 701 is used to acquire the charging current cloud map of the battery and divide the fast charging area, wherein the charging current of the fast charging area is greater than the fast charging current threshold.

[0110] The second acquisition module 702 is used to acquire the current charging condition curve of the current charging scheme and display it in the charging current cloud diagram.

[0111] The first obtaining module 703 is used to obtain an optimized charging condition curve based on the current charging condition curve in the charging current cloud diagram, wherein the amount of charge obtained by the optimized charging condition curve in the fast charging region meets the optimization requirements.

[0112] The second obtaining module 704 is used to obtain an optimized charging scheme based on the optimized charging condition curve.

[0113] In an optional embodiment, the first acquisition module includes:

[0114] The first acquisition submodule is used to acquire the charging strategy table of the battery;

[0115] The second acquisition submodule is used to acquire the charging current cloud map based on the charging current information, charging temperature information and charging voltage information in the charging strategy table.

[0116] In one optional embodiment, the second acquisition module includes:

[0117] The third acquisition submodule is used to acquire the voltage change data or charge change data of the battery in the current charging scheme, as well as the temperature change data.

[0118] The fourth acquisition submodule is used to fit and calculate the current charging condition curve based on the voltage change data or temperature change data, and the temperature change data.

[0119] In an optional embodiment, the first obtaining module includes:

[0120] The first acquisition submodule is used to acquire the first current state of the current charging condition curve being located in the fast charging region;

[0121] The second obtaining submodule is used to adjust the current limit of the charging strategy table according to the first current state to obtain the optimized charging condition curve.

[0122] In an optional embodiment, the first obtaining module includes:

[0123] The first display submodule is used to display multiple current charging condition curves of multiple current charging schemes in the charging current cloud diagram;

[0124] The first confirmation submodule is used to confirm the optimized charging condition curve based on multiple current charging condition curves in the fast charging area, wherein the optimized charging condition curve is the curve that obtains the most charge in the fast charging area among the multiple current charging condition curves.

[0125] In an optional embodiment, the first obtaining module includes:

[0126] The third acquisition submodule is used to obtain the second current state of the current charging condition curve being located in the fast charging region;

[0127] The fourth submodule is used to adjust the battery temperature of the current charging scheme according to the second current state to obtain the optimized charging condition curve.

[0128] In an optional embodiment, the device further includes:

[0129] The judgment module is used to determine whether the charging temperature of the optimized charging scheme meets the safe temperature limit of the battery;

[0130] If so, select the optimized charging scheme to charge the battery;

[0131] If not, continue to optimize the current charging scheme.

[0132] Based on the same inventive concept as the optimization method, embodiments of the present invention also provide an electronic device, including:

[0133] Memory, used to store computer programs;

[0134] A processor for executing the computer program to implement the steps of any of the methods described in the optimization method.

[0135] Based on the same inventive concept as the optimization method, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described in the optimization method.

[0136] The technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0137] 1. By acquiring the battery's charging current cloud map and the current charging condition curve of the current charging scheme, an optimized charging condition curve that meets the optimization requirements is obtained based on the current charging condition curve in the charging current cloud map, thus obtaining an optimized charging scheme. During the optimization process, the advantages and disadvantages of the current charging strategy and the direction of optimization can be intuitively evaluated, thereby providing guidance for improving the charging scheme and increasing charging time.

[0138] 2. By using visualization and graphical representation of operating conditions, combined with one-dimensional simulation calculation and prediction, the embodiments of the present invention can more efficiently optimize battery charging schemes and corresponding thermal management strategies.

[0139] 3. The embodiments of the present invention can perform detailed evaluations of charging time and charging performance for charging schemes and corresponding thermal management strategies in order to select a suitable charging scheme.

[0140] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0141] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (modules, systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0142] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0143] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0144] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0145] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An optimization method for a charging scheme, characterized in that, The method includes: Obtain a charging current cloud map of the battery and divide it into fast charging regions. Obtaining the charging current cloud map includes: obtaining the battery's charging strategy table; obtaining the charging current cloud map based on the charging current information, charging temperature information, and charging voltage information in the charging strategy table; the horizontal axis of the charging current cloud map is temperature, and the vertical axis is voltage; the region with the largest allowable charging current value is obtained by the color intensity of the central area in the charging current cloud map; the charging rate of the fast charging region is greater than a rate threshold. Obtain the current charging condition curve of the current charging scheme and display it in the charging current cloud diagram; Based on the current charging condition curve in the charging current cloud diagram, an optimized charging condition curve is obtained, wherein the amount of charge obtained by the optimized charging condition curve in the fast charging region meets the optimization requirements. Based on the optimized charging condition curve, an optimized charging scheme is obtained.

2. The method for optimizing the charging scheme according to claim 1, characterized in that, The process of obtaining the current charging condition curve of the current charging scheme includes: Acquire the voltage change data or charge change data of the battery in the current charging scheme, as well as the temperature change data; The current charging condition curve is obtained by fitting and calculating based on the voltage change data, the charge change data, and the temperature change data.

3. The method for optimizing the charging scheme according to claim 1, characterized in that, The step of obtaining an optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes: Obtain the first current state where the current charging condition curve is located in the fast charging region; Adjust the current limit of the charging strategy table according to the first current state to obtain the optimized charging condition curve.

4. The method for optimizing the charging scheme according to claim 1, characterized in that, The step of obtaining an optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes: The current charging condition curves of multiple current charging schemes are displayed in the charging current cloud diagram; Based on multiple current charging condition curves in the fast charging region, an optimized charging condition curve is determined, wherein the optimized charging condition curve is the curve that obtains the most charge in the fast charging region among the multiple current charging condition curves.

5. The method for optimizing the charging scheme according to claim 1, characterized in that, The step of obtaining an optimized charging condition curve based on the current charging condition curve in the charging current cloud map includes: Obtain the second current state where the current charging condition curve is located in the fast charging region; Adjust the battery temperature of the current charging scheme according to the second current state to obtain the optimized charging condition curve.

6. The method for optimizing the charging scheme according to claim 1, characterized in that, After obtaining the optimized charging scheme based on the optimized charging condition curve, the process further includes: Determine whether the charging temperature of the optimized charging scheme meets the safe temperature limit of the battery; If so, select the optimized charging scheme to charge the battery; If not, continue to optimize the current charging scheme.

7. An optimization device for a charging scheme, characterized in that, The device includes: The first acquisition module is used to acquire the charging current cloud map of the battery and divide the fast charging area. Acquiring the charging current cloud map includes: acquiring the battery's charging strategy table; acquiring the charging current cloud map based on the charging current information, charging temperature information, and charging voltage information in the charging strategy table; the horizontal axis of the charging current cloud map is temperature, and the vertical axis is voltage; the area with the largest allowable charging current value is obtained by the color intensity of the central region in the charging current cloud map; the charging current in the fast charging area is greater than the fast charging current threshold. The second acquisition module is used to acquire the current charging condition curve of the current charging scheme and display it in the charging current cloud diagram. The first obtaining module is used to obtain an optimized charging condition curve based on the current charging condition curve in the charging current cloud diagram, wherein the amount of charge obtained by the optimized charging condition curve in the fast charging region meets the optimization requirements. The second obtaining module is used to obtain an optimized charging scheme based on the optimized charging condition curve.

8. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it performs the steps of the method according to any one of claims 1 to 6.

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