Method and device for calculating weight of power battery, electronic equipment and storage medium

Abstract

The invention relates to a power battery weight calculation method and device, electronic equipment and a storage medium, and particularly relates to the technical field of power batteries. Comprising the following steps: acquiring battery cell technical parameters of a target vehicle, and reference battery cell energy density, reference battery box body weight and reference battery electric quantity of a sample vehicle; according to the cell technical parameters and the reference cell energy density, the target cell energy density of the target vehicle is set; calculating the total weight of the target battery cell according to the energy density of the target battery cell and an electric quantity set value of a power battery of the target vehicle; establishing a linear correlation between the reference battery electric quantity and the equivalent battery box body weight, and determining a target battery box body weight corresponding to the electric quantity set value based on the linear correlation; and calculating the total weight of the target battery corresponding to the electric quantity set value by integrating the total weight of the target battery cell and the weight of the target battery box body. The embodiment of the invention can meet the requirements of sufficient electric quantity and light weight at the same time.

Description

Technical Field

[0001] The present disclosure relates to the technical field of power batteries, and in particular to a method, device, electronic device and storage medium for calculating the weight of a power battery. Background Art

[0002] In recent years, the electric vehicle market has been booming. In order to extend the cruising range of electric vehicles, the power battery has been increasing, which has led to the continuous increase in the weight of the power battery in the weight of the whole vehicle. The market demand for lightweight electric vehicles has limited the power battery to be not too heavy. Therefore, the setting of the power battery weight is particularly important in the production process of the whole vehicle. For the weight setting of the power battery, the battery energy density is currently mainly used for evaluation. The battery energy density refers to the electrical energy released by the average unit mass of the battery. The current mainstream battery energy density ρ is between 140 and 180Wh / kg. According to the pre-set battery power A and battery energy density ρ of the power battery, the setting value M of the power battery weight is obtained based on the formula of battery weight M=A / ρ. However, the existing technology only relies on the single parameter of battery energy density to set the battery weight. This setting does not take into account other factors that may affect the battery weight. Therefore, the setting value of the battery weight obtained based on this method is not reasonable. The battery weight is too small, resulting in insufficient cruising range. The battery weight is too large and cannot strictly fit the planned value of the whole vehicle production. It is difficult to meet the sufficient power demand and lightweight demand at the same time, which leads to the lack of certain competitiveness of the produced electric vehicles in the market. Summary of the invention

[0003] In order to solve the above technical problems or at least partially solve the above technical problems, the present disclosure provides a method, device, electronic device and storage medium for calculating the weight of a power battery, which can simultaneously meet the requirements of sufficient power and lightweight.

[0004] In order to achieve the above objectives, the technical solutions provided by the embodiments of the present disclosure are as follows:

[0005] In a first aspect, the present disclosure provides a method for determining keywords in automotive field speech, comprising:

[0006] Obtain the battery cell technical parameters of the target vehicle, as well as the reference battery cell energy density, reference battery box weight, and reference battery capacity of the sample vehicle;

[0007] According to the cell technical parameters and reference cell energy density, set the target cell energy density of the target vehicle. The target cell total weight is equal to the set value of power divided by the target cell energy density.

[0008] Calculate the target total weight of the battery cells based on the target battery cell energy density and the power setting value of the target vehicle's power battery;

[0009] Establish a linear correlation between the reference battery capacity and the equivalent battery box weight, and determine the target battery box weight corresponding to the power setting value based on the linear correlation, wherein the linear correlation represents that different battery capacities correspond to different battery box weights, and the equivalent battery box weight includes the reference battery box weight and the weight of the equivalent factor, and the weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle;

[0010] The target total battery weight and the target battery case weight are combined to calculate the target total battery weight corresponding to the set power value. The target total battery weight is equal to the sum of the target total battery weight and the target battery case weight.

[0011] As an optional implementation in the embodiment of the present disclosure, the step of obtaining the reference battery box weight of the sample vehicle includes:

[0012] Calculate the total weight of the reference battery cell based on the reference battery cell energy density and the reference battery capacity;

[0013] Obtain the reference battery weight of the sample vehicle;

[0014] The reference battery box weight is obtained based on the reference battery weight and the reference total cell weight.

[0015] As an optional implementation in the embodiment of the present disclosure, the weight of the equivalent factor includes at least one of the following: the weight corresponding to the boundary factor, the weight corresponding to the safety performance factor, and the weight corresponding to the material factor.

[0016] As an optional implementation in the embodiment of the present disclosure, a linear correlation between the reference battery power and the equivalent battery box weight is established, and a target battery box weight corresponding to the power setting value is determined based on the linear correlation, including:

[0017] Draw a scatter plot with the reference battery capacity as the independent variable and the equivalent battery box weight as the dependent variable;

[0018] A regression formula is obtained based on the scatter plot, and the regression formula represents the linear correlation between the equivalent battery box weight and the reference battery capacity;

[0019] The target battery box weight corresponding to the set power value is obtained according to the regression formula.

[0020] As an optional implementation in the embodiment of the present disclosure, taking the reference battery power as the independent variable and the equivalent battery box weight as the dependent variable, after drawing the scatter plot and before obtaining the regression formula based on the scatter plot, the method further includes:

[0021] Fitting is performed according to the reference battery capacity and the equivalent battery box weight corresponding to each point on the scatter plot to calculate the correlation coefficient between the equivalent battery box weight and the reference battery capacity;

[0022] Determine whether the correlation coefficient is greater than a preset threshold;

[0023] If the correlation coefficient is greater than a preset threshold, it is determined that there is a linear correlation between the equivalent battery box weight and the reference battery capacity.

[0024] As an optional implementation in the embodiment of the present disclosure, after obtaining the regression formula based on the scatter plot, the method further includes:

[0025] In the scatter plot, draw the linear regression line corresponding to the regression formula;

[0026] Select a target scattered point that has a preset position relationship with the linear regression line, and the reference battery power corresponding to the target scattered point is the same as the power setting value;

[0027] The equivalent battery box weight corresponding to the target scattered point is taken as the target battery box weight.

[0028] As an optional implementation in the embodiment of the present disclosure, before obtaining the battery cell technical parameters of the target vehicle, and the reference battery cell energy density, reference battery box weight, and reference battery power of the sample vehicle, the method further includes:

[0029] Collect battery data of sample vehicles and establish a battery database for sample vehicles; the battery database includes: model parameters of sample vehicles, reference battery power, reference battery weight, reference battery type, and reference battery cell energy density.

[0030] In a second aspect, the present disclosure provides a device for determining keywords of automotive-related speech, including:

[0031] An acquisition module is used to obtain the battery cell technical parameters of the target vehicle, as well as the reference battery cell energy density, reference battery box weight and reference battery capacity of the sample vehicle;

[0032] A setting module is used to set the target cell energy density of the target vehicle according to the cell technical parameters and the reference cell energy density, and the target cell total weight is equal to the set value of electricity divided by the target cell energy density;

[0033] A calculation module, used to calculate the target total weight of the battery cells according to the target battery cell energy density and the power setting value of the power battery of the target vehicle;

[0034] A processing module, used to establish a linear correlation between a reference battery capacity and an equivalent battery box weight, and determine a target battery box weight corresponding to a power setting value based on the linear correlation, wherein the linear correlation indicates that different battery capacities correspond to different battery box weights, and the equivalent battery box weight includes a reference battery box weight and an equivalent factor weight, and the equivalent factor weight is determined based on a difference between a target vehicle and a sample vehicle;

[0035] The comprehensive module is used to comprehensively calculate the target total weight of the battery cells and the target battery box weight to obtain the target total weight of the battery corresponding to the set value of the power. The target total weight of the battery is equal to the sum of the target total weight of the battery cells and the target battery box weight.

[0036] As an optional implementation in the embodiment of the present disclosure, the acquisition module obtains the reference battery box weight of the sample vehicle, specifically for:

[0037] Calculate the total weight of the reference battery cell based on the reference battery cell energy density and the reference battery capacity;

[0038] Obtain the reference battery weight of the sample vehicle;

[0039] The reference battery box weight is obtained based on the reference battery weight and the reference total cell weight.

[0040] As an optional implementation in the embodiment of the present disclosure, the weight of the equivalent factor includes at least one of the following: the weight corresponding to the boundary factor, the weight corresponding to the safety performance factor, and the weight corresponding to the material factor.

[0041] As an optional implementation in the embodiment of the present disclosure, the processing module is specifically used to: draw a scatter plot with the reference battery power as the independent variable and the equivalent battery box weight as the dependent variable;

[0042] A regression formula is obtained based on the scatter plot, and the regression formula represents the linear correlation between the equivalent battery box weight and the reference battery capacity;

[0043] The target battery box weight corresponding to the set power value is obtained according to the regression formula.

[0044] As an optional implementation in the embodiment of the present disclosure, the processing module, after drawing a scatter plot with the reference battery power as the independent variable and the equivalent battery box weight as the dependent variable, and before obtaining a regression formula based on the scatter plot, is further used to: perform fitting according to the reference battery power and the equivalent battery box weight corresponding to each point on the scatter plot, so as to calculate the correlation coefficient between the equivalent battery box weight and the reference battery power;

[0045] Determine whether the correlation coefficient is greater than a preset threshold;

[0046] If the correlation coefficient is greater than a preset threshold, it is determined that there is a linear correlation between the equivalent battery box weight and the reference battery capacity.

[0047] As an optional implementation in the embodiment of the present disclosure, the processing module, after obtaining the regression formula based on the scatter plot, is further used to:

[0048] In the scatter plot, draw the linear regression line corresponding to the regression formula;

[0049] Select a target scattered point that has a preset position relationship with the linear regression line, and the reference battery power corresponding to the target scattered point is the same as the power setting value;

[0050] The equivalent battery box weight corresponding to the target scattered point is taken as the target battery box weight.

[0051] As an optional implementation in the embodiment of the present disclosure, the acquisition module, before acquiring the battery cell technical parameters of the target vehicle, and the reference battery cell energy density, reference battery box weight, and reference battery power of the sample vehicle, is further used to:

[0052] Collect battery data of sample vehicles and establish a battery database for sample vehicles; the battery database includes: model parameters of sample vehicles, reference battery power, reference battery weight, reference battery type, and reference battery cell energy density.

[0053] In a third aspect, the present disclosure provides an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the method for calculating the weight of a power battery as described in the first aspect or any one of its optional embodiments is implemented.

[0054] In a fourth aspect, a computer-readable storage medium is provided, comprising: a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for calculating the weight of a power battery as described in the first aspect or any one of its optional embodiments is implemented.

[0055] In a fifth aspect, a computer program product is provided, comprising: when the computer program product is run on a computer, the computer is enabled to implement the method for calculating the weight of a power battery as described in the first aspect or any one of its optional embodiments.

[0056] The present disclosure provides a method, device, electronic device and storage medium for calculating the weight of a power battery, wherein the method first obtains the battery cell technical parameters of a target vehicle, as well as the reference battery cell energy density, reference battery case weight and reference battery power of a sample vehicle, and then sets the target battery cell energy density of the target vehicle according to the battery cell technical parameters and the reference battery cell energy density, and then adds the power setting value of the power battery of the target vehicle and the target battery cell energy density to obtain the target battery cell total weight; establishes a linear correlation between the equivalent battery case weight and the reference battery power, wherein the equivalent battery case weight is the sum of the reference battery case weight of the sample vehicle and the weight of an equivalent factor, the weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle, the linear correlation characterizes that different battery powers correspond to different battery case weights, and determines the target battery case weight corresponding to the power setting value based on the linear correlation; after obtaining the target battery cell total weight and the target battery case weight of the target vehicle, the target battery total weight corresponding to the power setting value of the power battery of the target vehicle is obtained by adding them. The present disclosure divides the target total battery weight of the target vehicle into the target total battery cell weight and the target battery case weight, and calculates them separately. When calculating the target total battery cell weight, the sample vehicle is used as a reference, and the battery cell technical parameters of the target vehicle are also considered to comprehensively obtain the target total battery cell weight; when calculating the target battery case weight, the sample vehicle is also used as a reference, and the difference between the target vehicle and the sample vehicle is considered to establish a linear correlation between the equivalent battery case weight and the reference battery power, so as to obtain the target battery case weight corresponding to the power setting value of the target vehicle according to the linear correlation, so as to comprehensively consider the battery cell technology of the target vehicle and the difference between the target vehicle and the reference vehicle, so that the power battery of the target vehicle has a larger power and a smaller weight than the power battery of the sample vehicle, and can meet the lightweight requirements while ensuring sufficient power. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0059] Figure 1 A schematic diagram of a flow chart of a method for calculating the weight of a power battery provided in an embodiment of the present disclosure;

[0060] Figure 2 A schematic diagram of a scatter plot provided for an embodiment of the present disclosure;

[0061] Figure 3 A schematic diagram of a structure of a device for calculating the weight of a power battery is provided for an embodiment of the present disclosure;

[0062] Figure 4 A schematic structural diagram of an electronic device is provided in accordance with an embodiment of the present disclosure. DETAILED DESCRIPTION

[0063] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0064] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0065] The embodiments of the present disclosure provide a method, device, electronic device and storage medium for calculating the weight of a power battery, wherein the method first obtains the battery cell technical parameters of a target vehicle, as well as the reference battery cell energy density, reference battery case weight and reference battery power of a sample vehicle, and then sets the target battery cell energy density of the target vehicle according to the battery cell technical parameters and the reference battery cell energy density, and then adds the power setting value of the power battery of the target vehicle and the target battery cell energy density to obtain the target battery cell total weight; establishes a linear correlation between the equivalent battery case weight and the battery power, wherein the equivalent battery case weight is the sum of the reference battery case weight of the sample vehicle and the weight of an equivalent factor, the weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle, the linear correlation characterizes that different battery power levels correspond to different battery case weights, and determines the target battery case weight corresponding to the power setting value based on the linear correlation; after obtaining the target battery cell total weight and the target battery case weight of the target vehicle, the target battery total weight corresponding to the power setting value of the power battery of the target vehicle is obtained by adding them.

[0066] The present disclosure divides the target total battery weight of the target vehicle into the target total battery cell weight and the target battery case weight, and calculates them separately. When calculating the target total battery cell weight, the sample vehicle is used as a reference and the battery cell technical parameters of the target vehicle are also considered to comprehensively obtain the target total battery cell weight. When calculating the target battery case weight, the sample vehicle is also used as a reference, and the difference between the target vehicle and the sample vehicle is considered to establish a linear correlation between the equivalent battery case weight and the battery power. Thus, the target battery case weight corresponding to the power setting value of the target vehicle is obtained according to the linear correlation, so as to comprehensively consider the battery cell technology of the target vehicle and the difference between the target vehicle and the reference vehicle, so that the power battery of the target vehicle has a larger power and a smaller weight than the power battery of the sample vehicle, thereby being able to simultaneously meet the requirements of sufficient power and lightweight, thereby improving the competitiveness of the target vehicle in the market.

[0067] The method for calculating the weight of the power battery provided in the embodiments of the present disclosure can be implemented by a power battery weight calculation device or electronic device, and the electronic device may include: mobile phones (such as folding screen mobile phones, smart phones, etc.), personal digital assistants (PDAs), tablet computers, laptop computers, ultra-mobile personal computers (UMPCs), netbooks and other devices. The present disclosure does not impose any restrictions on the specific types of electronic devices. Among them, the present disclosure does not limit the type of operating system of the electronic device. For example, Android system, Linux system, Windows system or iOS system, etc.

[0068] like Figure 1 As shown, Figure 1 A flow chart of a method for calculating the weight of a power battery provided in an embodiment of the present disclosure, the method comprising the following steps S101 to S105:

[0069] S101. Obtain the battery cell technical parameters of the target vehicle, as well as the reference battery cell energy density, reference battery box weight, and reference battery capacity of the sample vehicle.

[0070] Among them, the battery cell technical parameters of the target vehicle are parameters set based on the technical environment and technical means, which are used to limit the upper limit of the energy density of the power battery cell.

[0071] The selection criteria for sample vehicles include at least one of the following: (1) the production year is less than the preset year, where the preset year is usually set to 5 years; (2) the weight of the whole vehicle is the same as that of the target vehicle or the weight of the body-in-white is the same as that of the target vehicle, where the body-in-white refers to the body that has been welded but not yet painted; (3) the configuration is basically the same as that of the target vehicle, where the configuration includes but is not limited to interior and exterior decoration, electronic and electrical systems, chassis systems, powertrain systems, etc.; (4) the cost range is basically the same as that of the target vehicle. It should be emphasized that when selecting sample vehicles, the number of vehicles from each manufacturer must be the same, for example, the same number of sample vehicles from China, Japan, South Korea, Europe and the United States should be selected.

[0072] The energy density of a battery cell refers to the amount of electrical energy released per unit mass of the battery cell. The battery cell is the smallest unit of the battery. In addition to the battery cell, the battery also contains other components such as the circuit system and thermal management system. Therefore, the energy density of a single battery cell is usually greater than the energy density of the battery.

[0073] The weight of the battery case is the total weight of all components in the power battery except the battery cells. It should be noted that the power battery is composed of multiple battery cells and a battery case. Accordingly, the weight of the power battery is the sum of the total weight of the battery cells and the weight of the battery case.

[0074] In some embodiments, the present disclosure uses a sample vehicle as a reference to collect battery data of the sample vehicle, and the battery data includes: vehicle model parameters, reference battery power, reference battery weight, reference battery type, and reference battery cell energy density to establish a sample vehicle battery database. Wherein, the reference battery type includes but is not limited to: ternary lithium battery (Ni-Co-Mn, NCM), lithium iron phosphate battery (LiFePO4, LFP), wherein NCM battery also includes different types of batteries such as 5 series, 6 series, and 8 series. For example, the battery cell energy density of NCM battery 523 is 190-220Wh / kg, the battery cell energy density of NCM battery 622 is 220-50Wh / kg, and the battery cell energy density of NCM battery 811 is 250-280Wh / kg; the battery cell energy density of LFP battery is 165-195Wh / kg.

[0075] Optionally, the sample vehicle battery database is stored in a table format, and the sample vehicle battery database is shown in Table 1:

[0076] Table 1

[0077]

[0078] In some embodiments, after obtaining the reference battery power and reference cell density of the sample vehicle, the reference cell total weight of the sample vehicle is calculated according to the reference battery power and reference cell energy density of the sample vehicle. The reference cell total weight m is calculated based on the formula m=A / ρ. Exemplarily, referring to Table 1 above, the reference cell energy density ρ1 and the reference battery power A1 are substituted into m=A / ρ to obtain the reference cell total weight m1=A1 / ρ1 corresponding to sample 1.

[0079] Optionally, after calculating the total weight of the reference cells of each sample vehicle, add them to the sample vehicle battery database, as shown in Table 2:

[0080] Table 2

[0081]

[0082] Further, according to the reference battery weight and reference cell weight of the sample vehicle, the reference battery box weight of the sample vehicle is calculated, and the calculation formula can be expressed as: n=Mm, so as to calculate the reference battery box weight n based on the formula. Exemplarily, referring to the above Table 2, the reference battery weight M1 and the reference cell total weight m1 of sample 1 are substituted into the formula n=Mm to obtain the reference battery box weight n1 of sample 1.

[0083] Optionally, after calculating the reference battery box weight of each sample vehicle, add it to the sample vehicle battery database, as shown in Table 3:

[0084] Table 3

[0085]

[0086] In some embodiments, after establishing a sample vehicle battery database, the reference cell energy density of the sample vehicle can be obtained from the sample vehicle battery database to use the reference cell energy density of the sample vehicle as the lower limit of the cell energy density of the power battery of the target vehicle.

[0087] S102: Setting a target battery cell energy density of a target vehicle according to battery cell technical parameters and reference battery cell energy density.

[0088] It is understandable that the vehicle manufacturer uses the cell energy density of competitors as a reference and sets the target cell energy density of the power battery of the target vehicle to be produced according to its own cell technology level. This makes the setting of the target cell energy density have a reference basis and fits the actual production.

[0089] Exemplarily, the reference battery cell energy density is 187Wh / kg, and the target battery cell energy density of the target vehicle is set to 191Wh / kg in combination with the battery cell energy technical parameters.

[0090] S103: Calculate the target total weight of the battery cells according to the target battery cell energy density and the power setting value of the power battery of the target vehicle.

[0091] The power setting value of the target vehicle's power battery is set based on production goals and production requirements. The target total weight of the battery cell is equal to the power setting value divided by the target battery cell energy density.

[0092] In some embodiments, after obtaining the power battery charge setting value A of the target vehicle, 目标 , and the target cell energy density ρ 目标 Then, based on the formula m = A / ρ, the power setting value A 目标 and target cell energy density ρ 目标 Substitute the formula to get the target total cell weight

[0093] S104: Establish a linear correlation between the reference battery power and the equivalent battery box weight, and determine a target battery box weight corresponding to the power setting value based on the linear correlation.

[0094] Among them, the equivalent battery case weight includes the reference battery case weight and the weight of the equivalent factor. The weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle. The weight of the equivalent factor includes at least one of the following: the weight corresponding to the boundary factor, the weight corresponding to the safety performance factor, and the weight corresponding to the material factor. Boundary factors refer to factors that affect the weight of the battery case due to boundary parts such as the battery energy distribution unit (BDU) and the battery management system (BMS); safety performance factors refer to factors that affect the weight of the battery case due to the proportion of the power battery participating in the anti-collision force transmission of the entire vehicle, which can be anti-collision materials; material factors are factors that affect the weight of the battery case due to the materials used in the power battery, such as the proportion of aluminum alloys.

[0095] Exemplarily, by comparing the target vehicle with the sample vehicle, it is determined whether the power battery of the target vehicle is integrated with boundary parts such as BDU or BMS. When it is determined that the power battery of the target vehicle is integrated with boundary parts such as BDU or BMS compared with the sample vehicle, the weight of the equivalent factor is determined to include the weight corresponding to the boundary factor.

[0096] Exemplarily, by comparing the target vehicle with the sample vehicle, it is determined whether the power battery of the target vehicle contains different anti-collision materials from those of the sample vehicle. When it is determined that the power battery of the target vehicle contains different anti-collision materials than those of the sample vehicle, the weight of the equivalent factor is determined to include the weight corresponding to the safety performance factor.

[0097] Exemplarily, by comparing the target vehicle with the sample vehicle, it is determined whether the aluminum alloy ratio of the power battery of the target vehicle is different from that of the sample vehicle. When it is determined that the aluminum alloy ratio of the power battery of the target vehicle is different from that of the sample vehicle, the weight of the equivalent factor is determined to include the weight corresponding to the material factor.

[0098] In some embodiments, the process of determining the equivalent battery case weight includes: for each sample vehicle, first obtaining the reference battery case weight of the sample vehicle, determining the weight of the equivalent factor based on the difference between the sample vehicle and the target vehicle to be developed at the battery case level, and then adding the reference battery case weight and the weight of the equivalent factor to obtain the equivalent battery case weight.

[0099] As shown in formula (1), the equivalent battery box weight n 等效 :

[0100]

[0101] In formula (1), n ​​is the reference battery box weight of the sample vehicle, is the weight of the equivalent factor, where i represents the number of equivalent factors and k i The weight of each equivalence factor.

[0102] In some embodiments, after obtaining the equivalent battery box weight corresponding to each sample vehicle, the reference battery power of each sample vehicle is combined, and the reference battery power of the sample vehicle is used as the independent variable and the equivalent battery box weight is used as the dependent variable to establish a linear correlation between the battery power and the equivalent battery box weight.

[0103] Optionally, a scatter plot is drawn with the reference battery power of the sample vehicle as the independent variable and the equivalent battery box weight as the dependent variable. Each point in the scatter plot corresponds to a sample vehicle, the horizontal coordinate of each point is the reference battery power of the sample vehicle, and the vertical coordinate of each point is the equivalent battery box weight corresponding to the sample vehicle. Then, data analysis is performed on the scatter plot to obtain a regression formula representing the linear correlation between the equivalent battery box weight and the reference battery power. Furthermore, the power setting value of the power battery of the target vehicle is substituted into the regression formula to obtain the target battery box weight of the target vehicle.

[0104] Exemplarily, the regression formula obtained according to the scatter plot is y=1.289x+25.40, and the target power battery setting value x=78kWh is substituted into the regression formula to obtain the target battery box weight y=125.942kg of the target vehicle.

[0105] In some embodiments, after drawing a scatter plot with the reference battery power of the sample vehicle as the independent variable and the equivalent battery box weight as the dependent variable, fitting is performed according to the reference battery power and the equivalent battery box weight corresponding to each point on the scatter plot to calculate the correlation coefficient R between the equivalent battery box weight and the reference battery power. 2 , and then determine whether the correlation coefficient is greater than a preset threshold value. The preset threshold value is a preset threshold value for determining the correlation between variables, usually set to 0.75; when the calculated correlation coefficient is greater than the preset threshold value, it is determined that there is a linear correlation between the equivalent battery box weight and the reference battery power, and then the regression formula obtained according to the scatter plot can be used to set the target battery box weight of the target vehicle.

[0106] In some embodiments, such as Figure 2 As shown, Figure 2 This is a schematic diagram of a scatter plot provided in an embodiment of the present disclosure. After obtaining a regression formula representing the linear correlation between the equivalent battery box weight and the reference battery power, a linear regression line corresponding to the regression formula is drawn in the scatter plot, such as Figure 2 The linear regression line shown in FIG. 1 has a regression formula of y=1.289x+25.40, and the correlation coefficient R between the equivalent battery box weight and the reference battery capacity is 2 =0.848. Then, the reference battery power is the same as the target vehicle's power setting value, and the scatter points that meet the preset position relationship with the linear regression line are selected as the target scatter points, where the preset position relationship means that the scatter points are located below the linear regression line; the equivalent battery case weight corresponding to the target scatter points is taken as the target battery case weight. It should be noted that the linear regression line in the scatter plot represents the average level of the equivalent battery case weight. When the reference battery power is the same, the equivalent battery case weight corresponding to the points below the linear regression line is less than the points on the linear regression line. In this way, a lighter battery case is determined, which is more in line with the lightweight demand.

[0107] S105, comprehensively calculating the target total weight of the battery cells and the target weight of the battery box to obtain the target total weight of the battery corresponding to the set power value.

[0108] Among them, the target total battery weight is equal to the sum of the target total cell weight and the target battery box weight.

[0109] After the target total weight of the target battery cells of the target vehicle is calculated according to steps S101 to S103, and the target battery box weight of the target vehicle is calculated according to step S104, the target total weight of the battery corresponding to the power setting value of the target vehicle is added. The total weight of the battery that meets the lightweight standard is reasonably designed according to the power setting value of the target vehicle, and the sufficient power demand and lightweight demand are met at the same time, so that the target vehicle developed and produced is light and portable, and the power is sufficient to maintain the set cruising range.

[0110] In summary, the method for calculating the weight of a power battery provided in an embodiment of the present disclosure first obtains the battery cell technical parameters of the target vehicle, as well as the reference battery cell energy density, reference battery case weight and reference battery power of the sample vehicle, and then sets the target battery cell energy density of the target vehicle according to the battery cell technical parameters and the reference battery cell energy density, and then adds the power setting value of the power battery of the target vehicle and the target battery cell energy density to obtain the target total battery cell weight; establishes a linear correlation between the equivalent battery case weight and the battery power, wherein the equivalent battery case weight is the sum of the reference battery case weight of the sample vehicle and the weight of the equivalent factor, the weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle, the linear correlation characterizes that different battery powers correspond to different battery case weights, and determines the target battery case weight corresponding to the power setting value based on the linear correlation; after obtaining the target total battery cell weight and the target battery case weight of the target vehicle, add them to obtain the target total battery weight corresponding to the power setting value of the power battery of the target vehicle. The present disclosure divides the target total battery weight of the target vehicle into the target total battery cell weight and the target battery case weight, and calculates them separately. When calculating the target total battery cell weight, the sample vehicle is used as a reference and the battery cell technical parameters of the target vehicle are also considered to comprehensively obtain the target total battery cell weight. When calculating the target battery case weight, the sample vehicle is also used as a reference, and the difference between the target vehicle and the sample vehicle is considered to establish a linear correlation between the equivalent battery case weight and the battery power. Thus, the target battery case weight corresponding to the power setting value of the target vehicle is obtained according to the linear correlation, so as to comprehensively consider the battery cell technology of the target vehicle and the difference between the target vehicle and the reference vehicle, so that the power battery of the target vehicle has a larger power and a smaller weight than the power battery of the sample vehicle, thereby being able to simultaneously meet the requirements of sufficient power and lightweight, thereby improving the competitiveness of the target vehicle in the market.

[0111] like Figure 3 As shown, Figure 3 A schematic diagram of a device for calculating the weight of a power battery is provided in an embodiment of the present disclosure, and the device includes:

[0112] The acquisition module 301 is used to acquire the battery cell technical parameters of the target vehicle, as well as the reference battery cell energy density, reference battery box weight and reference battery capacity of the sample vehicle;

[0113] A setting module 302 is used to set a target cell energy density of a target vehicle according to the cell technical parameters and the reference cell energy density, wherein the target cell total weight is equal to the power setting value divided by the target cell energy density;

[0114] The calculation module 303 is used to calculate the target total weight of the battery cells according to the target battery cell energy density and the power setting value of the power battery of the target vehicle;

[0115] The processing module 304 is used to establish a linear correlation between the reference battery power and the equivalent battery box weight, and determine the target battery box weight corresponding to the power setting value based on the linear correlation, wherein the linear correlation indicates that different battery powers correspond to different battery box weights, and the equivalent battery box weight includes the reference battery box weight and the weight of the equivalent factor, and the weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle;

[0116] The integration module 305 is used to integrate the target total weight of the battery cells and the target battery box weight to calculate the target total weight of the battery corresponding to the set power value. The target total weight of the battery is equal to the sum of the target total weight of the battery cells and the target battery box weight.

[0117] As an optional implementation in the embodiment of the present disclosure, the acquisition module 301 acquires the reference battery box weight of the sample vehicle, specifically for:

[0118] Calculate the total weight of the reference battery cell based on the reference battery cell energy density and the reference battery capacity;

[0119] Obtain the reference battery weight of the sample vehicle;

[0120] The reference battery box weight is obtained based on the reference battery weight and the reference total cell weight.

[0121] As an optional implementation in the embodiment of the present disclosure, the weight of the equivalent factor includes at least one of the following: the weight corresponding to the boundary factor, the weight corresponding to the safety performance factor, and the weight corresponding to the material factor.

[0122] As an optional implementation in the embodiment of the present disclosure, the processing module 304 is specifically used to: draw a scatter plot with the reference battery power as an independent variable and the equivalent battery box weight as a dependent variable;

[0123] A regression formula is obtained based on the scatter plot, and the regression formula represents the linear correlation between the equivalent battery box weight and the reference battery capacity;

[0124] The target battery box weight corresponding to the set power value is obtained according to the regression formula.

[0125] As an optional implementation in the embodiment of the present disclosure, the processing module 304, after drawing a scatter plot with the reference battery power as the independent variable and the equivalent battery box weight as the dependent variable, and before obtaining a regression formula based on the scatter plot, is further used to: perform fitting according to the reference battery power and the equivalent battery box weight corresponding to each point on the scatter plot, so as to calculate the correlation coefficient between the equivalent battery box weight and the reference battery power;

[0126] Determine whether the correlation coefficient is greater than a preset threshold;

[0127] If the correlation coefficient is greater than a preset threshold, it is determined that there is a linear correlation between the equivalent battery box weight and the reference battery capacity.

[0128] As an optional implementation in the embodiment of the present disclosure, after obtaining the regression formula based on the scatter plot, the processing module 304 is further used to:

[0129] In the scatter plot, draw the linear regression line corresponding to the regression formula;

[0130] Select a target scattered point that has a preset position relationship with the linear regression line, and the reference battery power corresponding to the target scattered point is the same as the set power value;

[0131] The equivalent battery box weight corresponding to the target scattered point is taken as the target battery box weight.

[0132] As an optional implementation in the embodiment of the present disclosure, the acquisition module 301, before acquiring the battery cell technical parameters of the target vehicle, and the reference battery cell energy density, reference battery box weight, and reference battery power of the sample vehicle, is further used to:

[0133] Collect battery data of sample vehicles and establish a battery database for sample vehicles; the battery database includes: model parameters of sample vehicles, reference battery power, reference battery weight, reference battery type, and reference battery cell energy density.

[0134] In summary, the power battery weight calculation device provided by the embodiment of the present disclosure first obtains the battery cell technical parameters of the target vehicle, as well as the reference battery cell energy density, reference battery case weight and reference battery power of the sample vehicle by an acquisition module, and then the target battery cell energy density of the target vehicle is set by a setting module according to the battery cell technical parameters and the reference battery cell energy density, and then the target battery cell total weight is calculated by a calculation module according to the power setting value of the power battery of the target vehicle and the target battery cell energy density; the processing module establishes a linear correlation between the equivalent battery case weight and the battery power, and determines the target battery case weight corresponding to the power setting value based on the linear correlation, wherein the equivalent battery case weight is the sum of the reference battery case weight of the sample vehicle and the weight of the equivalent factor, and the weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle; after obtaining the target battery cell total weight and the target battery case weight of the target vehicle, the comprehensive module adds them together to obtain the target battery total weight corresponding to the power setting value of the power battery of the target vehicle. The present disclosure divides the target total battery weight of the target vehicle into the target total battery cell weight and the target battery case weight, and calculates them separately. When calculating the target total battery cell weight, the sample vehicle is used as a reference and the battery cell technical parameters of the target vehicle are also considered to comprehensively obtain the target total battery cell weight. When calculating the target battery case weight, the sample vehicle is also used as a reference, and the difference between the target vehicle and the sample vehicle is considered to establish a linear correlation between the equivalent battery case weight and the battery power. Thus, the target battery case weight corresponding to the power setting value of the target vehicle is obtained according to the linear correlation, so as to comprehensively consider the battery cell technology of the target vehicle and the difference between the target vehicle and the reference vehicle, so that the power battery of the target vehicle has a larger power and a smaller weight than the power battery of the sample vehicle, thereby being able to simultaneously meet the requirements of sufficient power and lightweight, thereby improving the competitiveness of the target vehicle in the market.

[0135] like Figure 4 As shown, Figure 4 The present disclosure provides a schematic diagram of the structure of an electronic device, which includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, and when the computer program is executed by the processor, each process of the method for calculating the weight of the power battery in the above method embodiment is implemented. The same technical effect can be achieved, and it will not be described here to avoid repetition.

[0136] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various processes of the method for calculating the weight of a power battery in the above method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0137] The computer readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0138] An embodiment of the present invention provides a computer program product, which stores a computer program. When the computer program is executed by a processor, the various processes of the method for calculating the weight of a power battery in the above method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0139] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0140] In the present disclosure, the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0141] In the present disclosure, memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0142] In the present disclosure, computer-readable media include permanent and non-permanent, removable and non-removable storage media. Storage media can be implemented by any method or technology to store information, and the information can be computer-readable instructions, data structures, modules of programs or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. According to the definition in this article, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0143] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0144] The above are only specific embodiments of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for calculating the weight of a power battery, characterized in that: include: Obtain the battery cell technical parameters of the target vehicle, as well as the reference battery cell energy density, reference battery box weight, and reference battery capacity of the sample vehicle; According to the battery cell technical parameters and the reference battery cell energy density, setting the target battery cell energy density of the target vehicle; Calculate the target total weight of the battery cells according to the target battery cell energy density and the power setting value of the power battery of the target vehicle, wherein the target total weight of the battery cells is equal to the power setting value divided by the target battery cell energy density; Establishing a linear correlation between the reference battery power and the equivalent battery box weight, and determining a target battery box weight corresponding to the power setting value based on the linear correlation, wherein the linear correlation indicates that different battery powers correspond to different battery box weights, and the equivalent battery box weight includes the reference battery box weight and the weight of an equivalent factor, and the weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle; The target total battery weight corresponding to the set power value is calculated by combining the target total battery cell weight and the target battery box weight, and the target total battery weight is equal to the sum of the target total battery cell weight and the target battery box weight.

2. The method according to claim 1, characterized in that The step of obtaining the reference battery box weight of the sample vehicle comprises: Calculate the total weight of the reference battery cell according to the reference battery cell energy density and the reference battery capacity; Obtaining a reference battery weight of the sample vehicle; The reference battery box weight is obtained according to the reference battery weight and the reference battery cell total weight.

3. The method according to claim 1, characterized in that The weight of the equivalent factor includes at least one of the following: the weight corresponding to the boundary factor, the weight corresponding to the safety performance factor, and the weight corresponding to the material factor.

4. The method according to claim 1, characterized in that: The step of establishing a linear correlation between the reference battery power and the equivalent battery box weight, and determining a target battery box weight corresponding to the power setting value based on the linear correlation, includes: Taking the reference battery power as the independent variable and the equivalent battery box weight as the dependent variable, a scatter plot is drawn; A regression formula is obtained based on the scatter plot, wherein the regression formula represents a linear correlation between the equivalent battery box weight and the reference battery power; The target battery box weight corresponding to the power setting value is obtained according to the regression formula.

5. The method according to claim 4, characterized in that After drawing a scatter plot with the reference battery power as the independent variable and the equivalent battery box weight as the dependent variable, and before obtaining a regression formula based on the scatter plot, the method further includes: Fitting is performed according to the reference battery power and the equivalent battery box weight corresponding to each point on the scatter plot to calculate the correlation coefficient between the equivalent battery box weight and the reference battery power; Determining whether the correlation coefficient is greater than a preset threshold; If the correlation coefficient is greater than the preset threshold, it is determined that there is a linear correlation between the equivalent battery box weight and the reference battery power.

6. The method according to claim 4, characterized in that After obtaining the regression formula based on the scatter plot, the method further includes: In the scatter plot, draw a linear regression line corresponding to the regression formula; Selecting a target scattered point that has a preset position relationship with the linear regression line, wherein the reference battery power corresponding to the target scattered point is the same as the power setting value; The equivalent battery box weight corresponding to the target scattered point is used as the target battery box weight.

7. The method according to claim 1, characterized in that Before obtaining the battery cell technical parameters of the target vehicle, and the reference battery cell energy density, reference battery box weight, and reference battery capacity of the sample vehicle, the method further includes: Collect battery data of sample vehicles and establish a battery database for the sample vehicles; the battery database includes: vehicle model parameters of the sample vehicle, reference battery power, reference battery weight, reference battery type, and reference battery cell energy density.

8. A device for calculating the weight of a power battery, characterized in that: include: An acquisition module is used to obtain the battery cell technical parameters of the target vehicle, as well as the reference battery cell energy density, reference battery box weight and reference battery capacity of the sample vehicle; A setting module, used for setting the target battery cell energy density of the target vehicle according to the battery cell technical parameters and the reference battery cell energy density; A calculation module, used to calculate a target total weight of the battery cells according to the target battery cell energy density and the power setting value of the power battery of the target vehicle, wherein the target total weight of the battery cells is equal to the power setting value divided by the target battery cell energy density; A processing module, used to establish a linear correlation between the reference battery power and the equivalent battery box weight, and determine the target battery box weight corresponding to the power setting value based on the linear correlation, wherein the linear correlation represents that different battery power corresponds to different battery box weights, and the equivalent battery box weight includes the reference battery box weight and the weight of an equivalent factor, and the weight of the equivalent factor is determined based on the difference between the target vehicle and the sample vehicle; The comprehensive module is used to comprehensively calculate the target total battery weight and the target battery box weight to obtain the target total battery weight corresponding to the power setting value, and the target total battery weight is equal to the sum of the target total battery weight and the target battery box weight.

9. An electronic device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the method for calculating the weight of a power battery as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: include: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for calculating the weight of a power battery according to any one of claims 1 to 7 is implemented.

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