Method and device for evaluating lightweight of electric vehicle, electronic equipment and medium

Abstract

The present application relates to a kind of electric vehicle lightweight evaluation method, device, electronic equipment and medium.The evaluation method includes: the equivalent curb weight of each sample vehicle type is obtained, the equivalent curb weight is determined based on equivalent area density, equivalent electric drive system energy density, equivalent energy storage device energy density and equivalent body-in-white quality;According to the equivalent curb weight of each sample vehicle type and curb weight, the lightweight coefficient of each sample vehicle type is determined;According to the lightweight coefficient of each sample vehicle type, the lightweight level of each sample vehicle type is determined, and the method can evaluate the lightweight level of electric vehicle.

Description

Technical Field

[0001] This disclosure relates to the field of electric vehicle technology, and more particularly to a method, apparatus, electronic device, and medium for evaluating the lightweighting of electric vehicles. Background Technology

[0002] With the increasing demands for energy conservation and green development, pure electric vehicles have placed higher requirements on weight reduction and lightweighting. From the perspective of the electric vehicle industry, a reasonable and accurate assessment of the lightweighting level of electric vehicles is of great significance for guiding the forward design of electric vehicle products and formulating industry standards.

[0003] However, the power structure and performance of traditional gasoline and gas vehicles are completely different from those of electric vehicles. The traditional methods for evaluating the lightweighting of electric vehicles cannot be used to assess their lightweighting level. Currently, there is no reasonable and accurate method to evaluate the lightweighting level of electric vehicles, which is not conducive to the long-term development of the electric vehicle industry. Therefore, there is an urgent need for a method to evaluate the lightweighting level of electric vehicles. Summary of the Invention

[0004] This disclosure provides a method, apparatus, electronic device, and medium for evaluating the lightweighting of electric vehicles, which can assess the level of lightweighting of electric vehicles.

[0005] Firstly, this disclosure provides a method for evaluating the lightweighting of electric vehicles, including:

[0006] The equivalent curb weight of each sample vehicle model is obtained. The equivalent curb weight is determined based on the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, and the equivalent body-in-white mass.

[0007] The lightweighting coefficient of each of the sample models is determined based on the equivalent curb weight and curb weight of each of the sample models.

[0008] The lightweight level of each of the sample models is determined based on the lightweight coefficient of each sample model.

[0009] Optionally, before obtaining the equivalent curb weight of each sample vehicle model, the method further includes:

[0010] Determine the equivalent areal density, the equivalent electric drive system energy density, and the equivalent on-board energy storage device energy density for each of the sample vehicle models;

[0011] Determine the equivalent body-in-white mass of each of the sample vehicle models;

[0012] The equivalent curb weight of each of the sample models is determined by combining the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, the equivalent body-in-white mass, footprint area, motor power, and on-board energy storage device charge.

[0013] Optionally, determining the equivalent curb weight of each of the sample models based on the equivalent areal density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, the equivalent body-in-white mass, footprint area, motor power, and on-board energy storage device charge includes:

[0014] The first component of each of the sample models is determined based on the product of the footprint area and the equivalent surface density of each sample model.

[0015] The second component of each of the sample models is determined based on the ratio of the motor power to the energy density of the equivalent electric drive system for each of the sample models.

[0016] The third component of each of the sample models is determined based on the ratio of the on-board energy storage device's charge to the equivalent on-board energy storage device's energy density.

[0017] The equivalent curb weight of each sample vehicle is determined based on the sum of the first component, the second component, the third component, and the equivalent body-in-white mass of each sample vehicle.

[0018] Optionally, determining the equivalent areal density, the equivalent electric drive system energy density, and the equivalent on-board energy storage device energy density for each of the sample vehicle models includes:

[0019] Based on the areal density of each of the sample vehicle models, the equivalent areal density of each of the sample vehicle models is determined;

[0020] Based on the energy density of the electric drive system of each of the sample models, the equivalent electric drive system energy density of each of the sample models is determined;

[0021] Based on the energy density of the on-board energy storage device of each of the sample models, the equivalent on-board energy storage device energy density of each of the sample models is determined.

[0022] Optionally, determining the equivalent areal density of each of the sample vehicle models based on their areal density includes:

[0023] Based on the areal density of each of the sample vehicle models, determine the average areal density of all the sample vehicle models;

[0024] The average surface density is determined as the equivalent surface density;

[0025] Determining the equivalent electric drive system energy density of each of the sample vehicle models based on the electric drive system energy density of each sample vehicle model includes:

[0026] Based on the energy density of the electric drive system of each of the sample models, determine the average energy density of the electric drive system of all the sample models;

[0027] The average energy density of the electric drive system is determined as the equivalent energy density of the electric drive system.

[0028] The step of determining the equivalent on-board energy storage device energy density of each of the sample vehicle models based on the energy density of the on-board energy storage device of each of the sample vehicle models includes:

[0029] Based on the energy density of the on-board energy storage device of each of the sample models, determine the average energy density of the on-board energy storage device of all the sample models.

[0030] The average energy density of the on-board energy storage device is determined as the energy density of the equivalent electric drive system.

[0031] Optionally, before determining the equivalent areal density of each of the sample vehicle models based on their areal densities, the method further includes:

[0032] The areal density of each of the sample vehicle models is determined based on the curb weight, electric drive system weight, on-board energy storage device weight, and footprint area.

[0033] Based on the motor power and electric drive system mass of each of the sample vehicle models, the energy density of the electric drive system of each of the sample vehicle models is determined;

[0034] The energy density of the on-board energy storage device for each of the sample models is determined based on the power capacity and mass of the on-board energy storage device.

[0035] Optionally, determining the areal density of each of the sample vehicle models based on their curb weight, electric drive system weight, on-board energy storage device weight, and footprint area includes:

[0036] The target mass of each sample vehicle is determined based on the difference between the curb weight, the electric drive system mass, and the on-board energy storage device mass of each sample vehicle.

[0037] The areal density of each of the sample vehicle models is determined based on the ratio of the target mass to the footprint area.

[0038] Optionally, determining the equivalent body-in-white mass of each of the sample vehicle models includes:

[0039] The equivalent body-in-white mass of each of the sample models is determined based on the aluminum ratio and body-in-white mass of each sample model.

[0040] Optionally, determining the equivalent body-in-white mass of each of the sample models based on the aluminum ratio and body-in-white mass of each sample model includes:

[0041] The equivalent body-in-white mass of each of the sample models is determined by multiplying the aluminum ratio of the body-in-white, the body-in-white mass, and a preset coefficient.

[0042] Optionally, determining the lightweighting coefficient of each of the sample models based on their equivalent curb weight and curb weight includes:

[0043] The lightweighting coefficient of each sample vehicle is determined based on the ratio of the equivalent curb weight to the curb weight.

[0044] Optionally, the lightweight level of each of the sample models is determined based on the lightweight coefficient of each sample model, including:

[0045] Arrange the lightweight coefficients of each of the sample models in descending order, or in ascending order;

[0046] It was determined that, in descending order of the lightweighting coefficient, the lightweighting level of each sample vehicle gradually increases.

[0047] Secondly, this disclosure provides an evaluation device for the lightweighting of electric vehicles, comprising:

[0048] The acquisition module is used to acquire the equivalent curb weight of each sample vehicle model. The equivalent curb weight is determined based on the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, and the equivalent body-in-white mass.

[0049] The determining module is used to determine the lightweighting coefficient of each of the sample models based on the equivalent curb weight and the curb weight of each of the sample models; and to determine the lightweighting level of each of the sample models based on the lightweighting coefficient of each of the sample models.

[0050] Thirdly, this disclosure provides an electronic device, including: a processor, the processor being configured to execute a computer program stored in a memory, the computer program being executed by the processor to implement the steps of any of the methods provided in the first aspect.

[0051] Fourthly, this disclosure provides 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 provided in the first aspect.

[0052] In the technical solution provided in this embodiment, the equivalent curb weight of each sample vehicle is obtained. The equivalent curb weight is determined based on the equivalent surface density, equivalent electric drive system energy density, equivalent on-board energy storage device energy density, and equivalent body-in-white mass. Based on the equivalent curb weight and curb weight of each sample vehicle, the lightweighting coefficient of each sample vehicle is determined. Based on the lightweighting coefficient of each sample vehicle, the lightweighting level of each sample vehicle is determined. This allows for the determination of the lightweighting coefficient of electric vehicles based on their equivalent surface density, equivalent electric drive system energy density, equivalent on-board energy storage device energy density, and equivalent body-in-white mass. The lightweighting coefficient of electric vehicles can then be used to evaluate their lightweighting level. Furthermore, the electric drive system, on-board energy storage device, and body-in-white all affect the lightweighting coefficient of electric vehicles, thus comprehensively considering the factors influencing the lightweighting level of electric vehicles, resulting in a more accurate and reasonable evaluation of electric vehicle lightweighting. Attached Figure Description

[0053] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0054] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a flowchart illustrating a method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0056] Figure 2 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0057] Figure 3 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0058] Figure 4 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0059] Figure 5 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0060] Figure 6 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0061] Figure 7 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0062] Figure 8 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0063] Figure 9 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0064] Figure 10 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0065] Figure 11 This is a flowchart illustrating another method for evaluating the lightweighting of electric vehicles provided in this disclosure.

[0066] Figure 12 This is a schematic diagram of the structure of an evaluation device for lightweighting electric vehicles provided in this disclosure. Detailed Implementation

[0067] To better understand the above-mentioned objectives, features, and advantages of this disclosure, the solutions disclosed herein will be further described below. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0068] Numerous specific details are set forth in the following description in order to provide a full understanding of this disclosure, but this disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only some, and not all, of the embodiments of this disclosure.

[0069] There are three main methods for evaluating the lightweighting level of automobiles:

[0070] 1. Nominal density:

[0071] Specifically, the nominal density D of the car is determined by D = M / V, where M is the curb weight of the car and V is the volume of the car body. The volume V of the sedan can be obtained using formula (1):

[0072] V=B×H+(LB)×0.5H×W (1)

[0073] Where B is the wheelbase of the car, H is the height of the car body, L is the length of the car body, and W is the width of the car body.

[0074] The volume V of a sports utility vehicle (SUV) can be obtained using formula (2):

[0075] V=[0.33(LB)H+B×H+0.67(LB)×0.5H]×W (2)

[0076] Where B is the wheelbase of the car, H is the height of the car, L is the length of the car body, and W is the width of the car body.

[0077] This evaluation method mainly focuses on the impact of size changes on weight, but it cannot consider the impact of factors such as motor power, the proportion of aluminum in the body-in-white, and the capacity of onboard energy storage devices on the overall lightweighting of electric vehicles. Therefore, it is not suitable as an evaluation method for the overall lightweighting of electric vehicles.

[0078] 2. Lightweight Overall Evaluation Index:

[0079] The lightweight comprehensive evaluation index E' is determined according to formula (3):

[0080]

[0081] Where, m body C is the vehicle's body weight, which includes the weight of the four doors, hood, and trunk lid. T The static torsional stiffness of the painted body including the windshield is given; A is the footprint area of ​​the car; CNCAP is the C-NAP star rating; and F is the first-order frequency of the car body.

[0082] This evaluation method focuses on the impact of body-in-white performance on weight, but it cannot take into account the impact of motor power, the proportion of aluminum in the body-in-white, and the amount of energy stored in the vehicle on the overall lightweighting of electric vehicles. Therefore, it is not suitable as an evaluation method for the overall lightweighting of electric vehicles.

[0083] 3. Lightweight coefficient of passenger vehicles:

[0084] The lightweight coefficient L of the whole vehicle is determined according to formula (4). ev :

[0085]

[0086] Where W is the curb weight of the vehicle; V is the nominal volume; A is the footprint area of ​​the electric vehicle; P is the peak power of the motor; and Y is the energy consumption.

[0087] This evaluation method focuses on the overall vehicle's power economy and the impact of size on weight, but it fails to consider the impact of factors such as the body-in-white's weight and the capacity of onboard energy storage devices. Therefore, it is not suitable as an evaluation method for the overall lightweighting of electric vehicles.

[0088] In view of this, this disclosure provides a method for evaluating the lightweighting level of electric vehicles. It obtains the equivalent curb weight of each sample vehicle model, which is determined based on the equivalent surface density, equivalent electric drive system energy density, equivalent onboard energy storage device energy density, and equivalent body-in-white mass. Based on the equivalent curb weight and curb weight of each sample vehicle model, a lightweighting coefficient is determined. Based on the lightweighting coefficient, the lightweighting level of each sample vehicle model is determined. This method can determine the lightweighting coefficient of an electric vehicle based on its equivalent surface density, equivalent electric drive system energy density, equivalent onboard energy storage device energy density, and equivalent body-in-white mass. The lightweighting coefficient of an electric vehicle can then be used to evaluate its lightweighting level. Furthermore, the electric drive system, onboard energy storage device, and body-in-white all affect the lightweighting coefficient of the electric vehicle, thus comprehensively considering the factors influencing the lightweighting level of electric vehicles, making the evaluation results of electric vehicle lightweighting more accurate and reasonable.

[0089] The technical solutions of this disclosure will be explained in detail below through several specific embodiments.

[0090] Figure 1 This is a flowchart illustrating a method for evaluating the lightweighting of electric vehicles provided in this disclosure, as shown below. Figure 1 As shown, it includes:

[0091] S101, obtain the equivalent curb weight of each sample vehicle model.

[0092] The equivalent curb weight is determined based on the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, and the equivalent body-in-white mass.

[0093] The electric drive system refers to the drive system in an electric vehicle, mainly including: motor, reducer, controller, and drive shaft. Onboard energy storage devices refer to the devices in an electric vehicle used to store electrical energy, generally including the vehicle's battery.

[0094] By identifying multiple sample vehicle models to be evaluated, and based on the equivalent areal density, equivalent electric drive system energy density, equivalent on-board energy storage device energy density, and equivalent body-in-white mass of each sample vehicle model, the equivalent curb weight of the corresponding sample vehicle model can be determined, thus obtaining the equivalent curb weight of each sample vehicle model. Among these, the equivalent areal density is related to the areal density, the equivalent electric drive system energy density is related to the electric drive system energy density, the equivalent on-board energy storage device energy density is related to the on-board energy storage device energy density, and the equivalent body-in-white mass is related to the body-in-white mass.

[0095] For example, the sample models to be evaluated are identified as sample model A, sample model B, sample model C, and sample model D. The equivalent curb weight of sample model A is 2489.2 kg, the equivalent curb weight of sample model B is 2780.6 kg, the equivalent curb weight of sample model C is 2578.9 kg, and the equivalent curb weight of sample model D is 2467.7 kg.

[0096] S102, determine the lightweight coefficient of each of the sample models based on the equivalent curb weight and curb weight of each of the sample models.

[0097] Curb weight refers to the weight of an electric vehicle after all standard components have been installed, including the weight of the onboard energy storage device, the electric drive system, the body-in-white, and other components.

[0098] As a specific description of one possible implementation of S102, such as Figure 2 As shown, it includes:

[0099] S102', determine the lightweight coefficient of each of the sample models based on the ratio of the equivalent curb weight to the curb weight of each of the sample models.

[0100] For example, the lightweight coefficient S can be determined according to formula (5):

[0101]

[0102] in, Let M be the equivalent curb weight of the electric vehicle.

[0103] For example, the curb weight of sample model A is 2010kg, the curb weight of sample model B is 2329kg, the curb weight of sample model C is 2613kg, and the curb weight of sample model D is 2450kg. Based on the above embodiments, the lightweight coefficient of sample model A is determined to be 0.81, the lightweight coefficient of sample model B is 0.84, the lightweight coefficient of sample model C is 1.01, and the lightweight coefficient of sample model D is 0.99 according to formula (5).

[0104] As another possible implementation of S102, the lightweighting coefficient can be determined based on the ratio of the equivalent curb weight to the curb weight, and the sum of the ratios of other items.

[0105] As another possible implementation of S102, the lightweighting coefficient can be determined based on the ratio of the difference between the equivalent curb weight and the curb weight to the curb weight.

[0106] S103, determine the lightweight level of each of the sample models based on the lightweight coefficient of each of the sample models.

[0107] As a specific description of one possible implementation of S103, such as Figure 3 As shown, it includes:

[0108] S1031, arrange the lightweight coefficients of each of the sample models in descending order or in ascending order.

[0109] For example, based on the above embodiments, the order of the lightweight coefficients of each model is arranged according to the size relationship of the lightweight coefficients of each model as follows: lightweight coefficient of sample model C > lightweight coefficient of sample model D > lightweight coefficient of sample model B > lightweight coefficient of sample model A, or lightweight coefficient of sample model A > lightweight coefficient of sample model B > lightweight coefficient of sample model D > lightweight coefficient of sample model C.

[0110] S1032, determine that the lightweight level of each sample vehicle gradually increases in descending order of the lightweight coefficient.

[0111] In the ranking results of lightweight coefficients, the smaller the lightweight coefficient, the higher the lightweight level of the corresponding sample vehicle; conversely, the larger the lightweight coefficient, the lower the lightweight level of the corresponding sample vehicle. Among all vehicle models, the lightweight level gradually increases from the maximum value to the minimum value.

[0112] For example, based on the above embodiments, if the lightweight coefficient of sample model A is the minimum among all lightweight coefficients, then sample model A has the highest lightweight level among all sample models. If the lightweight coefficient of sample model C is the minimum among all lightweight coefficients, then sample model C has the lowest lightweight level among all sample models. Therefore, the evaluation results of the lightweight level are: lightweight level of sample model A > lightweight level of sample model B > lightweight level of sample model D > lightweight level of sample model C.

[0113] Figure 4 This is a flowchart illustrating yet another method for evaluating the lightweighting of electric vehicles provided in this disclosure. Figure 4 for Figure 1 Based on the illustrated embodiment, before executing S101, the following steps are also included:

[0114] S201, determine the equivalent areal density, the equivalent electric drive system energy density, and the equivalent on-board energy storage device energy density for each of the sample vehicle models.

[0115] For example, the areal density, electric drive system energy density, and equivalent on-board energy storage device energy density of each sample vehicle are obtained. Based on the areal density, electric drive system energy density, and equivalent on-board energy storage device energy density of each sample vehicle, the corresponding equivalent areal density, equivalent electric drive system energy density, and equivalent on-board energy storage device energy density are determined. In other embodiments, the curb weight, electric drive system weight, on-board energy storage device weight, and body-in-white weight of each sample vehicle can also be obtained. Based on the curb weight, electric drive system weight, on-board energy storage device weight, and body-in-white weight of the sample vehicle, the equivalent areal density, equivalent electric drive system energy density, and equivalent on-board energy storage device energy density are determined.

[0116] For example, the equivalent areal density of sample models A, B, C, and D is 365.7 kg / cm³. 2 The equivalent electric drive system energy density of sample models A, B, C, and D is 1.44 kW / kg, and the equivalent on-board energy storage device energy density of sample models A, B, C, and D is 155.6 Wh / kg.

[0117] S202, determine the equivalent body-in-white mass of each of the sample vehicle models.

[0118] As a specific description of one possible implementation of S202, such as Figure 5 As shown, it includes:

[0119] S202', Based on the aluminum ratio and body-in-white mass of each of the sample models, determine the equivalent body-in-white mass of each of the sample models.

[0120] Body-in-white refers to the welded assembly of body structural components and body panels, including the front fender, doors, hood, and trunk lid, but excluding accessories and trim pieces; it is the unpainted body. Body-in-white aluminum percentage refers to the proportion of aluminum in the body-in-white. Body-in-white mass refers to the total mass of the body structural components and body panels, including the mass of the front fender, doors, hood, and trunk lid. By obtaining the body-in-white aluminum percentage and body-in-white mass for each sample model, and based on these values, the equivalent body-in-white mass for each sample model can be determined, thus obtaining the equivalent body-in-white mass for each sample model.

[0121] For example, the equivalent body-in-white weight of sample model A is 31.1 kg, the equivalent body-in-white weight of sample model B is 89.1 kg, the equivalent body-in-white weight of sample model C is 23.5 kg, and the equivalent body-in-white weight of sample model D is 12.2 kg.

[0122] S203, the equivalent curb weight of each of the sample models is determined jointly based on the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, the equivalent body-in-white mass, footprint area, motor power, and on-board energy storage device charge of each of the sample models.

[0123] As a specific description of one possible implementation of S203, such as Figure 6 As shown, it includes:

[0124] S2031, determine the first component of each of the sample models based on the product of the footprint area and the equivalent surface density of each of the sample models.

[0125] The footprint area refers to the projected area between the four wheels of a passenger vehicle. For example, the footprint area A can be obtained using formula (6):

[0126]

[0127] Wherein, S1 is the track width between the left front wheel and the left rear wheel of the electric vehicle, S2 is the track width between the right front wheel and the right rear wheel of the electric vehicle, and S3 is the wheelbase of the electric vehicle.

[0128] For example, according to formula (6), the footprint area of ​​sample model A is determined to be 4.7m². 2 The footprint area of ​​sample vehicle B is 4.8m². 2 The footprint area of ​​sample car model C is 4.7m². 2 The footprint area of ​​sample vehicle model D is 4.7m². 2 .

[0129] For example, the first component can be obtained according to formula (7).

[0130]

[0131] in, This is the equivalent surface density of an electric vehicle.

[0132] For example, the equivalent areal density of sample models A, B, C, and D is 365.7 kg / cm³. 2Based on the above embodiments, according to formula (7), the first component of sample model A is 1718.79kg, the first component of sample model B is 1755.36kg, the first component of sample model C is 1718.79kg, and the first component of sample model D is 1718.79kg.

[0133] S2032, determine the second component of each of the sample models based on the ratio of the motor power to the energy density of the equivalent electric drive system of each of the sample models.

[0134] For example, the second component can be obtained according to formula (8).

[0135]

[0136] in, Let P be the energy density of the equivalent electric drive system of the electric vehicle, and let P be the motor power of the electric vehicle.

[0137] For example, the motor power of sample model A is 339kW, the motor power of sample model B is 400kW, the motor power of sample model C is 400kW, the motor power of sample model D is 400kW, and the equivalent electric drive system energy density of sample models A, B, C and D is 1.44kW / kg. According to formula (8), the second component of sample model A is 235.42kg, the second component of sample model B is 277.78kg, the second component of sample model C is 277.78kg and the second component of sample model D is 277.78kg.

[0138] S2033, determine the third component of each of the sample models based on the ratio of the on-board energy storage device's charge to the equivalent on-board energy storage device's energy density.

[0139] For example, the third component can be obtained according to formula (9).

[0140]

[0141] in, Let E be the energy density of the equivalent on-board energy storage device for the electric vehicle, and E be the amount of electricity stored in the on-board energy storage device for the electric vehicle.

[0142] For example, the on-board energy storage device of sample model A has a capacity of 76.8 kWh, the on-board energy storage device of sample model B has a capacity of 100 kWh, the on-board energy storage device of sample model C has a capacity of 95 kWh, and the on-board energy storage device of sample model D has a capacity of 80 kWh. The equivalent on-board energy storage device energy density of sample models A, B, C and D is 155.6 Wh / kg. According to formula (9), the third component of sample model A is 235.42 kg, the third component of sample model B is 642.67 kg, the third component of sample model C is 610.54 kg and the third component of sample model D is 514.14 kg.

[0143] S2034, determine the equivalent curb weight of each of the sample models based on the sum of the first component, the second component, the third component, and the equivalent body-in-white mass of each of the sample models.

[0144] For example, the equivalent curb weight can be obtained according to formula (10).

[0145]

[0146] in, The equivalent body-in-white mass of the electric vehicle.

[0147] For example, based on the above embodiments, the equivalent curb weight of sample model A is 2489.2 kg, the equivalent curb weight of sample model B is 2780.6 kg, the equivalent curb weight of sample model C is 2578.9 kg, and the equivalent curb weight of sample model D is 2467.7 kg, according to formula (10).

[0148] In this embodiment, the equivalent curb weight of each sample vehicle is determined by considering its equivalent surface density, equivalent electric drive system energy density, equivalent on-board energy storage device energy density, equivalent body-in-white mass, footprint area, motor power, and on-board energy storage device charge. Furthermore, the impact of footprint area, motor power, and on-board energy storage device charge on the lightweighting level of electric vehicles is taken into account. Therefore, the factors affecting the lightweighting level of electric vehicles can be considered more comprehensively, thus improving the accuracy of the evaluation results of electric vehicle lightweighting.

[0149] Figure 7 This is a flowchart illustrating yet another method for evaluating the lightweighting of electric vehicles provided in this disclosure. Figure 7 for Figure 4 Based on the illustrated embodiment, a specific description of a possible implementation of S201 includes:

[0150] S2011, Determine the equivalent areal density of each of the sample vehicle models based on their areal density.

[0151] As a specific description of one possible implementation of S2011, such as Figure 8 As shown, it includes:

[0152] S301, determine the average surface density of all the sample models based on the surface density of each of the sample models.

[0153] S302, the average surface density is determined as the equivalent surface density.

[0154] For example, the average areal density of all sample vehicle models can be determined according to formula (11).

[0155]

[0156] Where, ρ i Let N be the areal density of the sample vehicle model, and N be the number of sample vehicle models.

[0157] For example, the surface density of sample model A is 314.9 kg / m³. 2 The surface density of sample model B is 351.2 kg / m³. 2 The areal density of sample vehicle model C is 416.1 kg / m³. 2 The surface density of sample vehicle model D is 380.7 kg / m³. 2 According to formula (11), the average surface density of all vehicle models is 365.7 kg / m³. 2 .

[0158] The average surface density of all vehicle models is taken as the equivalent surface density of each model. Based on the above embodiments, the equivalent surface density of sample models A, B, C, and D is 380.7 kg / m³. 2 .

[0159] S2012, Based on the energy density of the electric drive system of each of the sample models, determine the equivalent electric drive system energy density of each of the sample models.

[0160] As a specific description of one possible implementation of S2012, such as Figure 8 As shown, it includes:

[0161] S303, Based on the energy density of the electric drive system of each of the sample models, determine the average value of the energy density of the electric drive system of all the sample models.

[0162] S304, the average energy density of the electric drive system is determined as the equivalent energy density of the electric drive system.

[0163] For example, the average energy density of the electric drive system for all sample vehicle models can be determined according to formula (12).

[0164]

[0165] Where, ρ Pi Let N be the energy density of the electric drive system of the sample vehicle, and N be the number of sample vehicles.

[0166] For example, the electric drive system energy density of sample model A is 1.94kW / kg, the electric drive system energy density of sample model B is 1.34kW / kg, the electric drive system energy density of sample model C is 1.22kW / kg, and the electric drive system energy density of sample model D is 1.25kW / kg. According to formula (12), the average electric drive system energy density of all models is 1.44kW / kg.

[0167] The average energy density of the electric drive system of all models is taken as the equivalent electric drive system energy density of each model. Based on the above embodiments, the equivalent electric drive system energy density of sample model A, sample model B, sample model C and sample model D is 1.44kW / kg.

[0168] S2013, Based on the energy density of the on-board energy storage device of each of the sample models, determine the equivalent on-board energy storage device energy density of each of the sample models.

[0169] As a specific description of one possible implementation of S2013, such as Figure 8 As shown, it includes:

[0170] S305, Based on the energy density of the on-board energy storage device of each of the sample models, determine the average energy density of the on-board energy storage device for all the sample models.

[0171] S306, the average energy density of the on-board energy storage device is determined as the energy density of the equivalent electric drive system.

[0172] For example, the average energy density of the on-board energy storage device for all sample vehicle models can be determined according to formula (13).

[0173]

[0174] Where, ρ Ei N represents the energy density of the on-board energy storage device for the sample vehicle model, and N represents the number of sample vehicle models.

[0175] For example, the energy density of the on-board energy storage device of sample model A is 160.7Wh / kg, the energy density of the on-board energy storage device of sample model B is 180.2Wh / kg, the energy density of the on-board energy storage device of sample model C is 138.9Wh / kg, and the energy density of the on-board energy storage device of sample model D is 142.9Wh / kg. According to formula (13), the average energy density of the on-board energy storage device of all models is 155.6Wh / kg.

[0176] The average energy density of the on-board energy storage device of all vehicle models is taken as the equivalent on-board energy storage device energy density of each vehicle model. Based on the above embodiments, the equivalent on-board energy storage device energy density of sample vehicle model A, sample vehicle model B, sample vehicle model C and sample vehicle model D is 155.6Wh / kg.

[0177] Figure 9 This is a flowchart illustrating yet another method for evaluating the lightweighting of electric vehicles provided in this disclosure. Figure 9 for Figure 7 Based on the illustrated embodiment, before executing S2011, the following is also included:

[0178] S401, determine the areal density of each of the sample vehicle models based on the curb weight, electric drive system weight, on-board energy storage device weight, and footprint area of ​​each sample vehicle model.

[0179] As a specific description of one possible implementation of S401, such as Figure 10 As shown, it includes:

[0180] S4011, determine the target mass of each of the sample vehicle models based on the difference between the curb weight, the electric drive system mass, and the on-board energy storage device mass of each of the sample vehicle models.

[0181] The target mass refers to the mass of the electric vehicle after deducting the mass of the electric drive system and the mass of the on-board energy storage device, that is, the mass remaining after deducting the mass of the electric drive system and the mass of the on-board energy storage device from the curb mass. For example, the target mass M′ can be determined according to formula (14):

[0182] M′=MM P -M E (14)

[0183] Where M is the curb weight of the electric vehicle, M P For the quality of the electric drive system of electric vehicles, M E The quality of onboard energy storage devices for electric vehicles.

[0184] For example, the curb weight of sample model A is 2010kg, the curb weight of sample model B is 2329kg, the curb weight of sample model C is 2613kg, and the curb weight of sample model D is 2450kg; the electric drive system weight of sample model A is 175kg, the electric drive system weight of sample model B is 298kg, the electric drive system weight of sample model C is 245kg, and the electric drive system weight of sample model D is 240kg; the on-board energy storage device weight of sample model A is 478kg, the on-board energy storage device weight of sample model B is 555kg, the on-board energy storage device weight of sample model C is 684kg, and the on-board energy storage device weight of sample model D is 560kg. According to formula (14), the target weights of sample model A, B, C, and D are determined to be 1729kg, 1771.1kg, 1736.5kg, and 1733.1kg, respectively.

[0185] S4012, determine the areal density of each of the sample models based on the ratio of the target mass to the footprint area.

[0186] For example, the areal density ρ can be determined according to formula (15):

[0187] ρ=M′ / A (15)

[0188] For example, the footprint area of ​​sample model A is 4.7m². 2 The footprint area of ​​sample vehicle B is 4.8m². 2 The footprint area of ​​sample car model C is 4.7m². 2 The footprint area of ​​sample vehicle model D is 4.7m². 2 Based on the above embodiments, the areal density of sample vehicle A can be determined to be 314.9 kg / m³ according to formula (15). 2 The surface density of sample model B is 351.2 kg / m³. 2 The areal density of sample vehicle model C is 416.1 kg / m³. 2 The surface density of sample vehicle model D is 380.7 kg / m³. 2 S402, determine the energy density of the electric drive system of each of the sample vehicle models based on the motor power and the mass of the electric drive system.

[0189] For example, the energy density ρ of the electric drive system can be determined according to formula (16). P :

[0190] ρ P =P / A (16)

[0191] For example, the motor power of sample model A is 339kW, the motor power of sample model B is 400kW, the motor power of sample model C is 400kW, and the motor power of sample model D is 400kW. Based on the above embodiments, according to formula (16), the energy density of the electric drive system of sample model A is 1.94kW / kg, the energy density of the electric drive system of sample model B is 1.34kW / kg, the energy density of the electric drive system of sample model C is 1.22kW / kg, and the energy density of the electric drive system of sample model D is 1.25kW / kg.

[0192] S403, determine the energy density of the on-board energy storage device for each of the sample models based on the power capacity and mass of the on-board energy storage device.

[0193] For example, the energy density ρ of the on-board energy storage device can be determined according to formula (17). E :

[0194] ρ E =E / A (17)

[0195] For example, the on-board energy storage device of sample model A has a capacity of 76.8 kWh, the on-board energy storage device of sample model B has a capacity of 100 kWh, the on-board energy storage device of sample model C has a capacity of 95 kWh, and the on-board energy storage device of sample model D has a capacity of 80 kWh. Based on the above embodiments, according to formula (17), the energy density of the on-board energy storage device of sample model A is 160.7 Wh / kg, the energy density of the on-board energy storage device of sample model B is 180.2 Wh / kg, the energy density of the on-board energy storage device of sample model C is 138.9 Wh / kg, and the energy density of the on-board energy storage device of sample model D is 142.9 Wh / kg.

[0196] Figure 11 This is a flowchart illustrating yet another method for evaluating the lightweighting of electric vehicles provided in this disclosure. Figure 11 for Figure 5 Based on the illustrated embodiment, a specific description of a possible implementation of S202' is as follows:

[0197] S202” determines the equivalent body-in-white mass of each of the sample models by multiplying the aluminum ratio of the body-in-white, the body-in-white mass, and a preset coefficient.

[0198] For example, the equivalent body-in-white mass can be determined according to formula (18).

[0199]

[0200] Where Q is the aluminum ratio of the electric vehicle's body-in-white, M″ is the mass of the electric vehicle's body-in-white, and 0.3 is a preset coefficient. The preset coefficient can be 0.3 or other constants. This embodiment does not impose specific restrictions on the preset coefficient.

[0201] For example, the aluminum content of the body-in-white of sample model A is 30%, that of sample model B is 90%, that of sample model C is 20%, and that of sample model D is 10%. The body-in-white weight of sample model A is 346kg, that of sample model B is 330kg, that of sample model C is 392kg, and that of sample model D is 406kg. According to formula (18), the equivalent body-in-white weight of sample model A is 31.1kg, that of sample model B is 89.1kg, that of sample model C is 23.5kg, and that of sample model D is 12.2kg.

[0202] This disclosure also provides an evaluation device for the lightweighting of electric vehicles. Figure 12 This is a schematic diagram of the structure of an evaluation device for lightweighting electric vehicles provided in this disclosure, as shown below. Figure 12 As shown, the evaluation device 100 includes:

[0203] The acquisition module 110 is used to acquire the equivalent curb weight of each sample vehicle model. The equivalent curb weight is determined based on the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, and the equivalent body-in-white mass.

[0204] The determining module 120 is used to determine the lightweighting coefficient of each of the sample models based on the equivalent curb weight and the curb weight of each of the sample models; and to determine the lightweighting level of each of the sample models based on the lightweighting coefficient of each of the sample models.

[0205] Optionally, the determining module 120 is further configured to determine the equivalent areal density, the equivalent electric drive system energy density, and the equivalent on-board energy storage device energy density of each of the sample vehicle models; determine the equivalent body-in-white mass of each of the sample vehicle models; and jointly determine the equivalent curb weight of each of the sample vehicle models based on the equivalent areal density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, the equivalent body-in-white mass, footprint area, motor power, and on-board energy storage device charge.

[0206] Optionally, the determining module 120 is further configured to determine a first component of each of the sample models based on the product of the footprint area and the equivalent areal density; determine a second component of each of the sample models based on the ratio of the motor power and the equivalent electric drive system energy density of each of the sample models; determine a third component of each of the sample models based on the ratio of the on-board energy storage device charge and the equivalent on-board energy storage device energy density of each of the sample models; and determine the equivalent curb weight of each of the sample models based on the sum of the first component, the second component, the third component, and the equivalent body-in-white mass of each of the sample models.

[0207] Optionally, the determining module 120 is further configured to determine the equivalent areal density of each of the sample models based on the areal density of each of the sample models; determine the equivalent electric drive system energy density of each of the sample models based on the electric drive system energy density of each of the sample models; and determine the equivalent on-board energy storage device energy density of each of the sample models based on the on-board energy storage device energy density of each of the sample models.

[0208] Optionally, the determining module 120 is further configured to determine the average areal density of all the sample models based on the areal density of each of the sample models; and determine the average areal density as the equivalent areal density; further configured to determine the average electric drive system energy density of all the sample models based on the electric drive system energy density of each of the sample models; and determine the average electric drive system energy density as the equivalent electric drive system energy density; further configured to determine the average on-board energy storage device energy density of all the sample models based on the on-board energy storage device energy density of each of the sample models; and determine the average on-board energy storage device energy density as the equivalent electric drive system energy density.

[0209] Optionally, the determining module 120 is further configured to determine the areal density of each of the sample models based on the curb weight, electric drive system weight, on-board energy storage device weight, and footprint area of ​​each of the sample models; determine the energy density of the electric drive system of each of the sample models based on the motor power and electric drive system weight of each of the sample models; and determine the energy density of the on-board energy storage device of each of the sample models based on the on-board energy storage device charge and on-board energy storage device weight of each of the sample models.

[0210] Optionally, the determining module 120 is further configured to determine the target mass of each of the sample models based on the difference between the curb weight, the electric drive system mass, and the on-board energy storage device mass of each of the sample models; and to determine the areal density of each of the sample models based on the ratio of the target mass of each of the sample models to the footprint area.

[0211] Optionally, the determining module 120 is further configured to determine the equivalent body-in-white mass of each of the sample models based on the body-in-white aluminum ratio and body-in-white mass of each of the sample models.

[0212] Optionally, the determining module 120 is further configured to determine the equivalent body-in-white mass of each of the sample models based on the product of the aluminum ratio of the body-in-white, the body-in-white mass, and a preset coefficient.

[0213] Optionally, the determining module 120 is further configured to determine the lightweighting coefficient of each of the sample models based on the ratio of the equivalent curb weight to the curb weight of each of the sample models.

[0214] Optionally, the determining module 120 is further configured to arrange the lightweighting coefficients of each of the sample models in descending order or in ascending order; and determine that the lightweighting level of each of the sample models gradually increases in descending order of the lightweighting coefficients.

[0215] The apparatus in this embodiment can be used to execute the steps of the above method embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

[0216] This disclosure also provides an electronic device, including: a processor, the processor being configured to execute a computer program stored in a memory, the computer program being executed by the processor to implement the steps of the above method embodiments.

[0217] This disclosure also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method embodiments.

[0218] This disclosure also provides a computer program product that, when run on a computer, causes the computer to perform the steps of the above-described method embodiments.

[0219] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0220] The above description is merely a specific embodiment of this disclosure, enabling those skilled in the art to understand or implement it. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this disclosure. Therefore, this disclosure is not to be limited to the embodiments described herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating the lightweighting of electric vehicles, characterized in that, include: The equivalent curb weight of each sample vehicle model is obtained. The equivalent curb weight is determined based on the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, and the equivalent body-in-white mass. The lightweighting coefficient of each of the sample models is determined based on the equivalent curb weight and curb weight of each of the sample models. The lightweight level of each of the sample models is determined based on the lightweight coefficient of each of the sample models. Before obtaining the equivalent curb weight of each sample vehicle, the process also includes: Determine the equivalent areal density, the equivalent electric drive system energy density, and the equivalent on-board energy storage device energy density for each of the sample vehicle models; Determine the equivalent body-in-white mass of each of the sample vehicle models; The equivalent curb weight of each of the sample models is determined by combining the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, the equivalent body-in-white mass, footprint area, motor power, and on-board energy storage device charge. The determination of the equivalent curb weight of each of the sample vehicle models based on the equivalent areal density, equivalent electric drive system energy density, equivalent on-board energy storage device energy density, equivalent body-in-white mass, footprint area, motor power, and on-board energy storage device charge includes: The first component of each of the sample models is determined based on the product of the footprint area and the equivalent surface density of each sample model. The second component of each of the sample models is determined based on the ratio of the motor power to the energy density of the equivalent electric drive system for each of the sample models. The third component of each of the sample models is determined based on the ratio of the on-board energy storage device's charge to the equivalent on-board energy storage device's energy density. The equivalent curb weight of each sample vehicle is determined based on the sum of the first component, the second component, the third component, and the equivalent body-in-white mass of each sample vehicle.

2. The method according to claim 1, characterized in that, Determining the equivalent areal density, the equivalent electric drive system energy density, and the equivalent on-board energy storage device energy density for each of the sample vehicle models includes: Based on the areal density of each of the sample vehicle models, the equivalent areal density of each of the sample vehicle models is determined; Based on the energy density of the electric drive system of each of the sample models, the equivalent electric drive system energy density of each of the sample models is determined; Based on the energy density of the on-board energy storage device of each of the sample models, the equivalent on-board energy storage device energy density of each of the sample models is determined.

3. The method according to claim 2, characterized in that, The step of determining the equivalent areal density of each of the sample vehicle models based on their areal density includes: Based on the areal density of each of the sample vehicle models, determine the average areal density of all the sample vehicle models; The average surface density is determined as the equivalent surface density; Determining the equivalent electric drive system energy density of each of the sample vehicle models based on the electric drive system energy density of each sample vehicle model includes: Based on the energy density of the electric drive system of each of the sample models, determine the average energy density of the electric drive system of all the sample models; The average energy density of the electric drive system is determined as the equivalent energy density of the electric drive system. The step of determining the equivalent on-board energy storage device energy density of each of the sample vehicle models based on the energy density of the on-board energy storage device of each of the sample vehicle models includes: Based on the energy density of the on-board energy storage device of each of the sample models, determine the average energy density of the on-board energy storage device of all the sample models. The average energy density of the on-board energy storage device is determined as the energy density of the equivalent electric drive system.

4. The method according to claim 2, characterized in that, Before determining the equivalent areal density of each of the sample vehicle models based on their areal densities, the method further includes: The areal density of each of the sample vehicle models is determined based on the curb weight, electric drive system weight, on-board energy storage device weight, and footprint area. Based on the motor power and electric drive system mass of each of the sample vehicle models, the energy density of the electric drive system of each of the sample vehicle models is determined; The energy density of the on-board energy storage device for each of the sample models is determined based on the power capacity and mass of the on-board energy storage device.

5. The method according to claim 4, characterized in that, The determination of the areal density of each of the sample vehicle models based on their curb weight, electric drive system weight, on-board energy storage device weight, and footprint area includes: The target mass of each sample vehicle is determined based on the difference between the curb weight, the electric drive system mass, and the on-board energy storage device mass of each sample vehicle. The areal density of each of the sample vehicle models is determined based on the ratio of the target mass to the footprint area.

6. The method according to claim 1, characterized in that, Determining the equivalent body-in-white mass of each of the sample vehicle models includes: The equivalent body-in-white mass of each of the sample models is determined based on the aluminum ratio and body-in-white mass of each sample model.

7. The method according to claim 6, characterized in that, The step of determining the equivalent body-in-white mass of each of the sample models based on the aluminum ratio and body-in-white mass of each sample model includes: The equivalent body-in-white mass of each of the sample models is determined by multiplying the aluminum ratio of the body-in-white, the body-in-white mass, and a preset coefficient.

8. The method according to claim 1, characterized in that, The step of determining the lightweight coefficient of each of the sample vehicle models based on the equivalent curb weight and curb weight includes: The lightweighting coefficient of each sample vehicle is determined based on the ratio of the equivalent curb weight to the curb weight.

9. The method according to claim 1, characterized in that, Based on the lightweighting coefficient of each of the sample vehicle models, the lightweighting level of each sample vehicle model is determined, including: Arrange the lightweight coefficients of each of the sample models in descending order, or in ascending order; It was determined that, in descending order of the lightweighting coefficient, the lightweighting level of each sample vehicle gradually increases.

10. A device for evaluating the lightweighting of electric vehicles, characterized in that, include: The acquisition module is used to acquire the equivalent curb weight of each sample vehicle model. The equivalent curb weight is determined based on the equivalent surface density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, and the equivalent body-in-white mass. The determining module is used to determine the lightweighting coefficient of each of the sample models based on the equivalent curb weight and the curb weight of each of the sample models; and to determine the lightweighting level of each of the sample models based on the lightweighting coefficient of each of the sample models. The determining module is also used to determine the equivalent areal density, the equivalent electric drive system energy density, and the equivalent on-board energy storage device energy density of each of the sample vehicle models; The equivalent body-in-white mass of each of the sample models is determined; the equivalent curb weight of each of the sample models is jointly determined based on the equivalent areal density, the equivalent electric drive system energy density, the equivalent on-board energy storage device energy density, the equivalent body-in-white mass, footprint area, motor power, and on-board energy storage device charge. The determining module is further configured to determine a first component of each of the sample models based on the product of the footprint area and the equivalent areal density; determine a second component of each of the sample models based on the ratio of the motor power and the equivalent electric drive system energy density of each of the sample models; determine a third component of each of the sample models based on the ratio of the on-board energy storage device charge and the equivalent on-board energy storage device energy density of each of the sample models; and determine the equivalent curb weight of each of the sample models based on the sum of the first component, the second component, the third component, and the equivalent body-in-white mass of each of the sample models.

11. An electronic device, characterized in that, include: A processor for executing a computer program stored in a memory, wherein the computer program, when executed by the processor, implements the steps of the method according to any one of claims 1-9.

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

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