Vehicle energy management method, storage medium and vehicle

Abstract

The invention provides a vehicle energy management method, a storage medium and a vehicle, and belongs to the technical field of vehicles. According to the embodiment of the invention, by comprehensively considering the plurality of battery parameters of the battery, the current residual electric quantity precision of the battery can be accurately identified, the appropriate target correction amount can be determined for the battery based on the current residual electric quantity precision, and the initial residual electric quantity threshold value is dynamically corrected based on the target correction amount to obtain the target residual electric quantity threshold value. On the basis of the target residual electric quantity threshold value, energy management can be performed on the battery more finely. Therefore, the battery energy can be used as much as possible on the premise of ensuring the use safety of the battery, so that the full utilization of the battery energy is realized, and the endurance mileage of the vehicle is effectively improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle energy management method, a storage medium and a vehicle. Background Art

[0002] Batteries are an important source of energy for new energy vehicles. To protect batteries, extend their service life, and ensure vehicle safety, a corresponding remaining power threshold is usually set for the battery to avoid over-discharge.

[0003] In the related art, the remaining power threshold is usually set to a conservative larger threshold. However, this method easily leads to ineffective use of battery energy and reduces the vehicle's cruising range. Summary of the invention

[0004] The present application provides a vehicle energy management method, a storage medium and a vehicle to solve the current problem of low vehicle range caused by the inability to effectively utilize battery energy.

[0005] In order to solve the above problems, this application adopts the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a vehicle energy management method, the method comprising:

[0007] Determining the accuracy of the current remaining power of the battery based on a plurality of battery parameters of the battery;

[0008] Based on the current remaining power accuracy, determining a target correction amount; wherein different remaining power accuracy corresponds to different correction amounts;

[0009] Based on the target correction amount, the initial remaining power threshold of the battery is corrected to obtain a target remaining power threshold; wherein the target remaining power threshold is used to perform energy management on the battery.

[0010] In an embodiment of the present application, determining the current remaining power accuracy of the battery based on multiple battery parameters of the battery includes:

[0011] Based on the multiple battery parameters and the parameter weights corresponding to the multiple battery parameters, the accuracy of the current remaining power of the battery is determined.

[0012] In an embodiment of the present application, determining the current remaining power accuracy of the battery based on multiple battery parameters of the battery includes:

[0013] The multiple battery parameters are input into an accuracy prediction model, and the current remaining power accuracy is output; wherein the accuracy prediction model is trained based on sample battery parameters of the battery.

[0014] In an embodiment of the present application, determining the current remaining power accuracy of the battery based on the multiple battery parameters and the parameter weights corresponding to the multiple battery parameters respectively includes:

[0015] Determining an initial accuracy score corresponding to each of the plurality of battery parameters;

[0016] Determining weighted accuracy scores corresponding to each of the plurality of battery parameters based on the initial accuracy scores and parameter weights corresponding to each of the plurality of battery parameters;

[0017] The current remaining power accuracy is determined based on weighted accuracy scores corresponding to each of the plurality of battery parameters.

[0018] In an embodiment of the present application, determining the current remaining power accuracy based on weighted accuracy scores corresponding to each of the plurality of battery parameters includes:

[0019] Determine a comprehensive accuracy score based on the weighted accuracy scores corresponding to each of the multiple battery parameters;

[0020] Determine a target scoring interval to which the comprehensive accuracy score belongs among a plurality of preset scoring intervals; different scoring intervals correspond to different accuracy values;

[0021] The accuracy value corresponding to the target scoring interval is determined as the current remaining power accuracy.

[0022] In one embodiment of the present application, the multiple battery parameters include battery health status, battery operating temperature, charge and discharge rate, remaining power correction frequency, remaining power average correction amplitude and battery cell difference parameters; the battery cell difference parameters include maximum battery cell temperature difference, maximum battery cell pressure difference and / or maximum remaining power difference.

[0023] In an embodiment of the present application, determining a target correction amount based on the current remaining power accuracy includes:

[0024] When the current remaining power accuracy is within a preset accuracy range, determining the target correction amount to be zero;

[0025] In the case where the current remaining power accuracy is greater than the upper limit value of the preset accuracy interval, determining the target correction amount to be a first correction amount; the first correction amount is used to increase the initial remaining power threshold;

[0026] When the current remaining power accuracy is less than the lower limit of the preset accuracy interval, the target correction amount is determined to be a second correction amount; the second correction amount is used to reduce the initial remaining power threshold.

[0027] In one embodiment of the present application, the initial remaining power threshold includes an initial forced charging threshold and / or an initial balancing power threshold;

[0028] Based on the target correction amount, the initial remaining power threshold of the battery is corrected to obtain a target remaining power threshold, including:

[0029] Based on the correction amount, the initial forced charging threshold is corrected to obtain a target forced charging threshold; and / or,

[0030] Based on the correction amount, the initial balance power threshold is corrected to obtain a target balance power threshold;

[0031] Among them, the target forced charging threshold is used to indicate that when the current remaining power of the battery is lower than the target forced charging threshold, the vehicle's engine is started to charge the battery; the target balanced power threshold is used to indicate that the target balanced power threshold is used as the target remaining power of the battery, and the engine is controlled to charge the battery.

[0032] In a second aspect, based on the same inventive concept, an embodiment of the present application provides a vehicle energy management device, the device comprising:

[0033] An accuracy determination module, used to determine the accuracy of the current remaining power of the battery based on a plurality of battery parameters of the battery;

[0034] A correction amount determination module, used to determine a target correction amount based on the current remaining power accuracy; wherein different remaining power accuracy corresponds to different correction amounts;

[0035] A threshold correction module is used to correct the initial remaining power threshold of the battery based on the target correction amount to obtain a target remaining power threshold; wherein the target remaining power threshold is used to perform energy management on the battery.

[0036] In one embodiment of the present application, the accuracy determination module includes:

[0037] The first correction amount determination submodule is used to determine the current remaining power accuracy of the battery based on the multiple battery parameters and the parameter weights corresponding to the multiple battery parameters.

[0038] In one embodiment of the present application, the accuracy determination module includes:

[0039] The second correction amount determination submodule is used to input the multiple battery parameters into the accuracy prediction model and output the current remaining power accuracy; wherein the accuracy prediction model is trained based on sample battery parameters of the battery.

[0040] In one embodiment of the present application, the first correction amount determination submodule includes:

[0041] an initial accuracy score determining unit, configured to determine initial accuracy scores corresponding to each of the plurality of battery parameters;

[0042] A weighted accuracy score determination unit, configured to determine a weighted accuracy score corresponding to each of the plurality of battery parameters based on the initial accuracy scores corresponding to each of the plurality of battery parameters and the parameter weights;

[0043] The remaining power accuracy determination unit is used to determine the current remaining power accuracy based on the weighted accuracy scores corresponding to each of the multiple battery parameters.

[0044] In an embodiment of the present application, the remaining power accuracy determination unit includes:

[0045] A comprehensive accuracy score determination subunit, used to determine a comprehensive accuracy score based on weighted accuracy scores corresponding to each of a plurality of battery parameters;

[0046] A scoring interval determination subunit is used to determine a target scoring interval to which the comprehensive accuracy score belongs among a plurality of preset scoring intervals; different scoring intervals correspond to different accuracy values;

[0047] The remaining power accuracy determination subunit is used to determine the accuracy value corresponding to the target scoring interval as the current remaining power accuracy.

[0048] In one embodiment of the present application, the multiple battery parameters include battery health status, battery operating temperature, charge and discharge rate, remaining power correction frequency, remaining power average correction amplitude and battery cell difference parameters; the battery cell difference parameters include maximum battery cell temperature difference, maximum battery cell pressure difference and / or maximum remaining power difference.

[0049] In one embodiment of the present application, the correction amount determination module includes:

[0050] A first correction amount determination submodule, configured to determine that the target correction amount is zero when the current remaining power accuracy is within a preset accuracy range;

[0051] A second correction amount determination submodule is used to determine the target correction amount as a first correction amount when the current remaining power accuracy is greater than the upper limit value of the preset accuracy interval; the first correction amount is used to increase the initial remaining power threshold;

[0052] The third correction amount determination submodule is used to determine the target correction amount as a second correction amount when the current remaining power accuracy is less than the lower limit of the preset accuracy range; the second correction amount is used to reduce the initial remaining power threshold.

[0053] In one embodiment of the present application, the initial remaining power threshold includes an initial forced charging threshold and / or an initial balanced power threshold; the threshold correction module includes:

[0054] A first threshold correction submodule, configured to correct the initial forced charging threshold based on the correction amount to obtain a target forced charging threshold;

[0055] A second threshold correction submodule, configured to correct the initial balancing power threshold based on the correction amount to obtain a target balancing power threshold;

[0056] Among them, the target forced charging threshold is used to indicate that when the current remaining power of the battery is lower than the target forced charging threshold, the vehicle's engine is started to charge the battery; the target balanced power threshold is used to indicate that the target balanced power threshold is used as the target remaining power of the battery, and the engine is controlled to charge the battery.

[0057] In the third aspect, based on the same inventive concept, an embodiment of the present application provides a computer-readable storage medium on which an executable program is stored. When the executable program is executed by a processor, the vehicle energy management method proposed in the first aspect of the present application is implemented.

[0058] In a fourth aspect, based on the same inventive concept, an embodiment of the present application provides a vehicle, including:

[0059] A memory for storing an executable program;

[0060] processor;

[0061] When the executable program is executed by the processor, the vehicle energy management method proposed in the first aspect of the present application is implemented.

[0062] Compared with the prior art, this application has the following advantages:

[0063] The vehicle energy management method provided by the embodiment of the present application can accurately identify the current remaining power accuracy of the battery by comprehensively considering multiple battery parameters of the battery, and then determine the appropriate target correction amount for the battery based on the current remaining power accuracy, and dynamically correct the initial remaining power threshold based on the target correction amount to obtain the target remaining power threshold, and based on the target remaining power threshold, the battery energy management can be performed more finely. In this way, the battery energy can be used as much as possible under the premise of ensuring the safety of battery use, thereby achieving full utilization of the battery energy and effectively improving the vehicle's cruising range. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] 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, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0065] Figure 1 is a flowchart of the steps of a vehicle energy management method in one embodiment of the present application;

[0066] Figure 2 This is a functional module diagram of a vehicle energy management device in one embodiment of the present application;

[0067] Figure 3 It is a structural schematic diagram of a vehicle in one embodiment of the present application. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] It should be noted that the actual SOC (State Of Charge, also known as the remaining power) of the battery itself usually has system accuracy requirements. For example, when the system accuracy requirement is 5%, if the SOC lower limit is set to 8%, then under the worst working conditions, the actual SOC may reach (8%-5%=)3%; if the SOC lower limit is set to 6%, the actual SOC has the risk of dropping to (6%-5%=)1%. At the same time, due to the self-discharge characteristics of the battery, when the vehicle is parked for a long time, the actual SOC of the battery is too low, which may cause the risk of not being able to start the vehicle when it is used again.

[0070] In the related art, in order to prevent the battery power from being too low, a corresponding remaining power threshold is usually set for the battery. However, due to the accuracy of the remaining power of the battery, the remaining power threshold is usually set to a conservative larger threshold, so that when the battery has the energy output capacity, its remaining energy cannot be effectively utilized, thereby reducing the vehicle's cruising range.

[0071] In response to the current problem of low vehicle range due to the inability to effectively utilize battery energy, this application aims to provide a vehicle energy management method, which can accurately identify the current remaining power accuracy of the battery by comprehensively considering multiple battery parameters of the battery, and then determine a suitable target correction amount for the battery based on the current remaining power accuracy, and dynamically correct the initial remaining power threshold based on the target correction amount to obtain the target remaining power threshold. Based on the target remaining power threshold, the battery energy can be managed more finely. In this way, the battery energy can be used as much as possible while ensuring the safety of battery use, thereby achieving full utilization of the battery energy and effectively improving the vehicle's range.

[0072] Reference Figure 1 , showing a vehicle energy management method of the present application, the method may include the following steps:

[0073] S101: Determine the accuracy of the current remaining power of the battery based on multiple battery parameters of the battery.

[0074] It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication and program running functions, or an electronic device with the above functions such as a driving computer, a vehicle-mounted computer, etc., such as an ECU (Electronic Control Unit), an HCU (Hybrid Control Unit), a BMS (Battery Management System), etc. This embodiment does not specifically limit the type of the execution subject, and the following description will take BMS as the execution subject.

[0075] In this embodiment, the BMS can obtain multiple battery parameters of the battery according to a preset data collection cycle, and then timely update the current remaining power accuracy based on the multiple battery parameters of the battery.

[0076] It should be noted that the remaining power accuracy of the battery indicates the accuracy of the measurement and estimation of the current power level of the battery. The higher the remaining power accuracy, the more accurately the BMS can reflect the actual power of the battery, thereby effectively managing the charging and discharging process and ensuring the safety and performance of the battery. As the battery is used for a longer time, the remaining power accuracy will usually decrease due to factors such as battery aging and working environment.

[0077] In a specific implementation, in order to accurately identify the current remaining power accuracy, multiple battery parameters may specifically include SOH (State of Health), battery operating temperature, charge and discharge rate, remaining power correction frequency, remaining power average correction amplitude and cell difference parameters; the cell difference parameters include the maximum cell temperature difference, the maximum cell pressure difference and / or the maximum remaining power difference.

[0078] It should be noted that, considering that as the battery usage time increases, the battery capacity will gradually decay, the internal impedance of the battery will increase, which will affect the accurate measurement and estimation of SOC. Therefore, during the use of the battery, the BMS will calculate the SOH of the battery. SOH is an indicator of the overall health status of the battery relative to its ideal performance during use, and can specifically include information such as the battery capacity decay rate and resistance growth. Among them, the battery capacity decay rate can be calculated by comparing the current capacity of the battery with its rated capacity and expressed as a percentage.

[0079] It should be noted that temperature has a significant impact on battery performance. High or low temperature environments will affect the battery's charging and discharging efficiency, and thus affect the accuracy of SOC. Therefore, the BMS will record the battery's operating temperature during battery use, which specifically includes the temperature range and duration. Based on the temperature range and duration, the BMS can calculate the time ratio between the duration of the temperature range that significantly affects battery performance and the total duration.

[0080] It should be noted that when the battery is working at a high charge and discharge rate, the internal resistance of the battery may cause a large voltage difference, thus affecting the accuracy of SOC measurement. Therefore, the BMS will record the rate of the battery's charge and discharge process in the current driving cycle, and then calculate the average charge and discharge rate of the battery in the preset period.

[0081] It should be noted that the remaining power correction frequency indicates the frequency of triggering the SOC correction, and the remaining power average correction amplitude indicates the average correction amount for the SOC. Specifically, the BMS can trigger the SOC correction when the battery meets the preset correction conditions, and when it detects that the correction is completed, it records a correction event and calculates the corresponding SOC correction amplitude. The BMS can calculate the remaining power correction frequency and the remaining power average correction amplitude of the battery by counting the correction events within a preset time length. Among them, the preset correction conditions can be set to: the battery is in a fully charged state or a fully discharged state, or the battery is in an abnormal state (such as abnormal voltage or abnormal current), or the SOC correction is performed at fixed time intervals.

[0082] It should be noted that the chemical inhomogeneity between multiple cells of a battery may lead to differences in the overall performance of the battery. Therefore, by obtaining the cell difference parameters, the differences between multiple cells inside the battery can be effectively analyzed. Among them, the maximum cell temperature difference represents the temperature difference between the cell with the highest temperature and the cell with the lowest temperature; the maximum cell pressure difference represents the pressure difference between the cell with the highest pressure and the cell with the lowest pressure; the maximum remaining power difference represents the remaining power difference between the cell with the highest remaining power and the cell with the lowest remaining power.

[0083] It should be noted that deep discharge of a battery will accelerate the chemical reaction inside the battery, damage the physical and chemical structure of the battery, and thus shorten its service life. Therefore, the multiple battery parameters may also include a deep discharge frequency of the battery, which indicates the number of times the remaining power of the battery is discharged to less than a preset threshold within a preset period of time.

[0084] It should be noted that different types of batteries have differences in chemical properties, discharge curves, internal resistance and self-discharge rate, all of which will affect the calculation and evaluation of the remaining power. For example, the remaining power accuracy of lithium-ion batteries is usually higher than that of lead-acid batteries. Therefore, multiple battery parameters can also include battery type.

[0085] In this embodiment, by comprehensively considering multiple battery parameters that affect the battery accuracy, the remaining power accuracy of the battery can be comprehensively evaluated from multiple dimensions, thereby achieving accurate identification of the current remaining power accuracy of the battery.

[0086] S102: Determine a target correction amount based on the current remaining power accuracy.

[0087] In this embodiment, different remaining power accuracy corresponds to different correction amounts. The correction amount indicates the correction amplitude and correction direction of the initial remaining power threshold. Specifically, the correction amount can be zero, a negative value, or a positive value. Among them, zero means that the initial remaining power threshold does not need to be corrected; when the target correction amount is a positive value, the initial remaining power threshold will be corrected upward to increase the initial remaining power threshold; when the target correction amount is a negative value, the initial remaining power threshold can be corrected downward to reduce the initial remaining power threshold.

[0088] In a specific implementation, the BMS pre-stores a mapping table that represents the relationship between the remaining power accuracy and the correction amount. After determining the current remaining power accuracy, the BMS can determine the corresponding target correction amount by looking up the table.

[0089] S103: Based on the target correction amount, the initial remaining power threshold of the battery is corrected to obtain a target remaining power threshold.

[0090] In this embodiment, the sum of the initial remaining power threshold and the correction amount may be determined as the target remaining power threshold.

[0091] In a specific implementation, after calculating the target remaining power threshold, the BMS can directly send the target remaining power threshold to the HCU, so that the HCU can perform energy management on the vehicle based on the target remaining power threshold; or, after calculating the correction amount, the BMS can send the correction amount to the HCU, and the HCU can perform energy management on the vehicle after calculating the target remaining power threshold.

[0092] It should be noted that the target remaining power threshold is used to manage the battery energy. That is, when the current remaining power of the battery is less than the initial remaining power threshold, the corresponding energy management strategy will be triggered to manage the battery energy to prevent the remaining power of the battery from further decreasing.

[0093] In one example, the initial remaining power threshold is 9%, that is, when the remaining power of the battery is less than 9%, the battery will be charged. Based on multiple battery parameters of the battery, the BMS determines the target correction amount of the battery to be -3%, and then calculates the target remaining power threshold to be (9% - 3% =) 6%. In other words, by correcting the initial remaining power threshold from 9% to 6%, the battery can output more 3% power, thereby providing users with more driving range.

[0094] In this embodiment, by comprehensively considering multiple battery parameters of the battery, a suitable target correction amount can be determined for the battery, and based on the target correction amount, the initial remaining power threshold is dynamically corrected to obtain the target remaining power threshold, and based on the target remaining power threshold, the battery energy management can be performed more finely. In this way, the battery energy can be used as much as possible under the premise of ensuring the safety of battery use, thereby achieving full utilization of the battery energy and effectively improving the vehicle's cruising range.

[0095] In a feasible implementation, S101 may specifically include the following sub-steps:

[0096] S101-A: Determine the accuracy of the current remaining power of the battery based on multiple battery parameters and parameter weights corresponding to the multiple battery parameters.

[0097] In this embodiment, considering the different sensitivity and importance of different battery parameters to SOC accuracy, a corresponding parameter weight is assigned to each battery parameter, thereby improving the recognition accuracy of the remaining power accuracy.

[0098] In a specific implementation, the parameter weights corresponding to the multiple battery parameters can be determined through expert experience, historical data analysis, or machine learning methods (such as regression analysis).

[0099] S101-B: Input multiple battery parameters into the accuracy prediction model, and output the current remaining power accuracy.

[0100] In this embodiment, in order to fully explore the correlation between multiple battery parameters and the remaining power accuracy, the sample battery parameters of the battery can also be used as training samples to train the neural network model to obtain an accuracy prediction model. Among them, a sample battery parameter includes multiple historical battery parameters.

[0101] In a specific implementation, the accuracy prediction model can be trained in the following manner: obtain sample battery parameters of the battery, which include the accuracy label of the battery; use the sample battery parameters to train the initial neural network model to obtain the accuracy prediction results output by the initial neural network model; then calculate the loss function value based on the accuracy prediction results and the accuracy label, and iteratively update the network parameters of the initial neural network model based on the loss function value until the initial neural network model meets the training cutoff condition to obtain the accuracy prediction model. After the model training is completed, the test data set can also be used for verification to evaluate the accuracy and generalization ability of the accuracy prediction model.

[0102] In this embodiment, in order to improve the model recognition ability of the precision prediction model, the precision prediction model can also be obtained by training sample weighted battery parameters, and the sample weighted battery parameters are determined based on multiple historical battery parameters and the parameter weights corresponding to each of the multiple historical battery parameters. By weighting multiple historical battery parameters and inputting them into the neural network model for training, the neural network model can better capture key information, thereby improving the accuracy of the prediction.

[0103] In a feasible implementation, S101-A may specifically include the following sub-steps:

[0104] S101-A1: Determine an initial accuracy score corresponding to each of a plurality of battery parameters;

[0105] In this embodiment, the BMS will determine the initial accuracy score corresponding to any battery parameter. It should be noted that the higher the initial accuracy score of a battery parameter, the better the battery performance is from the perspective of the battery parameter, and the higher the accuracy of SOC estimation is.

[0106] In the specific implementation, BMS quantifies multiple battery parameters from multiple dimensions and can obtain the initial accuracy scores corresponding to each of the multiple battery parameters.

[0107] Referring to Table 1, an example table of accuracy scores of battery health status among multiple battery parameters is shown.

[0108] Table 1

[0109] X1 0.8 0.9 0.95 1 Y1 30 80 100 100

[0110] Among them, X1 represents the battery health status, which is the ratio between the current capacity of the battery and the rated capacity; Y1 represents the initial accuracy score corresponding to the battery health status.

[0111] Referring to Table 2, there is shown an example table of accuracy scores for battery usage temperature among multiple battery parameters.

[0112] Table 2

[0113] X2 －30℃ 10℃ 40℃ 55℃ Y2 30 100 100 30

[0114] Wherein, X2 represents the battery usage temperature; Y2 represents the initial accuracy score corresponding to the battery usage temperature.

[0115] Specifically, the operating temperature range of the battery may be set, for example, [-30°C, 55°C], and then based on the operating temperature range and the appropriate operating temperature of the battery, an initial accuracy score corresponding to the battery operating temperature may be determined.

[0116] Referring to Table 3, there is shown an example table of accuracy scores of charge and discharge rates among a plurality of battery parameters.

[0117] Table 3

[0118] X3 －1C －0.3C 0.3C 1C Y3 30 100 100 30

[0119] Among them, X3 represents the charge and discharge rate; Y3 represents the initial accuracy score corresponding to the charge and discharge rate.

[0120] Specifically, taking the charging rate as an example, the charging rate range of the battery can be set, such as [0.1C, 5C], and then based on the charging rate range and the appropriate charging rate of the battery, the initial accuracy score corresponding to the charging rate is determined.

[0121] Referring to Table 4, there is shown an example table of accuracy scores of the remaining power correction frequency among multiple battery parameters.

[0122] Table 4

[0123] X4 5 3 1 0 Y4 100 100 60 30

[0124] Among them, X4 represents the frequency of remaining power correction within the preset period. When the preset period is 7 days, its unit can be set to: times / 7 days; Y4 represents the initial accuracy score corresponding to the remaining power correction frequency.

[0125] Referring to Table 5, an example table of accuracy scores of maximum cell temperature differences among multiple battery parameters is shown.

[0126] Table 5

[0127] X5 10℃ 7℃ 6℃ 0 Y3 30 60 100 100

[0128] Among them, X5 represents the maximum battery cell temperature difference; Y5 represents the initial accuracy score corresponding to the maximum battery cell temperature difference.

[0129] Specifically, the temperature difference range of the battery can be set, for example, [1° C., 6° C.], and then based on the temperature difference range and the battery cell temperature difference allowed by the battery, the initial accuracy score corresponding to the maximum battery cell temperature difference is determined.

[0130] In this embodiment, by quantifying and standardizing a plurality of battery parameters, the influence of different battery parameters on the remaining power accuracy can be fairly compared, thereby improving the accuracy of the accuracy evaluation.

[0131] S101 -A2: Determine weighted accuracy scores corresponding to each of the multiple battery parameters based on the initial accuracy scores and parameter weights corresponding to each of the multiple battery parameters.

[0132] In this embodiment, for the initial accuracy score of any battery parameter, the weighted accuracy score corresponding to the battery parameter can be calculated by multiplying the initial accuracy score by the parameter weight corresponding to the battery parameter. It should be noted that the sum of the parameter weights corresponding to the multiple battery parameters is 1.

[0133] Exemplarily, referring to Table 6, an example table of weighted accuracy scores for multiple battery parameters is shown.

[0134] Table 6

[0135] Quantization range Parameter weight Initial Accuracy Score Weighted Accuracy Score Battery health status 0~100 20％ 95 19 Battery operating temperature 0~100 15％ 95 14.25 Charge and discharge rate 0~100 20％ 95 19 Remaining power correction frequency 0~100 15％ 95 14.25 Deep discharge frequency 0~100 15％ 95 14.25 Maximum cell temperature difference 0~100 15％ 95 14.25

[0136] S101 -A3: Determine the current remaining power accuracy based on the weighted accuracy scores corresponding to the multiple battery parameters.

[0137] In this embodiment, a comprehensive accuracy score may be first determined based on the sum of weighted accuracy scores corresponding to a plurality of battery parameters, and then the current remaining power accuracy may be calculated based on the comprehensive accuracy score.

[0138] In a specific implementation, the current remaining power accuracy can be calculated according to the following formula.

[0139] SOC 精度 =(1-S 评分 %) / 10 (1);

[0140] Among them, SOC 精度 Indicates the current remaining power accuracy, S 评分 Represents the overall accuracy score.

[0141] It should be noted that, based on Formula 1, the remaining power accuracy range is [0%, 10%], where 0% indicates the highest remaining power accuracy and 10% indicates the lowest remaining power accuracy.

[0142] Exemplarily, based on Formula 1, an example table of remaining power accuracy as shown in Table 7 can be obtained.

[0143] Table 7

[0144] Comprehensive accuracy score 60 80 90 95 Current remaining power accuracy 4％ 3％ 1％ 1％

[0145] In this embodiment, taking the data shown in Table 6 as an example, the comprehensive accuracy score can be calculated to be (19+14.25+19+14.25+14.25+14.25=)95. According to Formula 1, the current remaining power accuracy can be calculated to be 1%.

[0146] In this embodiment, since different degrees of influence of different battery parameters on the remaining power accuracy are taken into consideration, various factors are combined in a weighted sum manner to achieve accurate identification of the current remaining power accuracy.

[0147] In a specific implementation, S101-A3 may further include the following sub-steps:

[0148] S101-A3-1: Determine a comprehensive accuracy score based on the weighted accuracy scores corresponding to each of the multiple battery parameters.

[0149] In this embodiment, based on the weighted accuracy scores corresponding to the multiple battery parameters, a comprehensive accuracy score of the battery can be calculated.

[0150] S101-A3-2: Determine the target scoring interval to which the comprehensive accuracy score belongs among the preset multiple scoring intervals.

[0151] In this embodiment, in order to simplify the calculation, the BMS presets multiple scoring intervals, wherein different scoring intervals correspond to different accuracy values. In this way, the BMS can quickly determine the corresponding current remaining power accuracy by determining the target scoring interval to which the comprehensive accuracy score belongs.

[0152] S101-A3-3: Determine the accuracy value corresponding to the target scoring interval as the current remaining power accuracy.

[0153] In this embodiment, the number of scoring intervals can be set according to actual needs. For example, the data coverage of each scoring interval can be reduced, and more scoring intervals can be set, thereby improving the recognition accuracy of the remaining power precision.

[0154] In a feasible implementation, S102 may specifically include the following sub-steps:

[0155] S102-1: When the current remaining power accuracy is within a preset accuracy range, determine that the target correction amount is zero.

[0156] In this embodiment, the preset accuracy interval can be set to [3%, 5%], that is, when 3% ≤ SOC 精度 When the value is ≤5%, it is considered that the accuracy of the remaining battery power is at a normal level, and there is no need to correct the initial remaining battery power threshold.

[0157] S102 - 2 : When the current remaining power accuracy is greater than an upper limit of a preset accuracy range, determining the target correction amount to be a first correction amount.

[0158] In this embodiment, when SOC 精度 >5%, it is considered that the accuracy of the remaining battery power is low. At this time, the initial remaining battery power threshold will be corrected according to the preset first correction amount, and the first correction amount is used to increase the initial remaining battery power threshold. For example, the first correction amount can be set to 3%. When the initial remaining battery power threshold is s, the corrected target remaining battery power threshold is s+3%.

[0159] In this embodiment, by increasing the initial remaining power threshold when the remaining power accuracy of the battery is low, the risk of the actual SOC of the battery dropping to a dangerous value during use can be effectively avoided.

[0160] S102 - 3 : When the current remaining power accuracy is less than a lower limit of a preset accuracy range, determining the target correction amount to be a second correction amount.

[0161] In this embodiment, when SOC 精度 When the initial remaining power threshold is s, the target remaining power threshold after correction is s-3%.

[0162] In this implementation, by reducing the initial remaining power threshold when the remaining power accuracy of the battery is high, the battery can output more power, thereby avoiding that the excess power cannot be fully utilized.

[0163] In this embodiment, by comparing the current remaining power accuracy with the preset accuracy range, it is possible to quickly determine whether the initial remaining power threshold needs to be corrected and the corresponding correction direction and correction amplitude, thereby achieving dynamic management of battery energy.

[0164] In a feasible implementation manner, the initial remaining power threshold includes an initial forced charging threshold and / or an initial balancing power threshold; S103 may specifically include the following sub-steps:

[0165] S103 - 1 : Based on the correction amount, the initial forced charging threshold is corrected to obtain a target forced charging threshold.

[0166] It should be noted that the initial forced charging threshold represents the default forced charging threshold set for the battery without considering the remaining power accuracy of the battery; the target forced charging threshold is the actual forced charging threshold obtained by correcting the initial forced charging threshold based on the current remaining power accuracy of the battery.

[0167] Specifically, the target mandatory charging threshold is used to indicate that when the current remaining power of the battery is lower than the target mandatory charging threshold, the vehicle's engine is started to charge the battery. In other words, when the vehicle is in pure electric mode, that is, driven only by the battery, the remaining power of the battery is allowed to drop to the target mandatory charging threshold at most.

[0168] It should be noted that when the vehicle's intelligent idle charging function is activated, if the BMS detects that the vehicle is parked and the current remaining power of the battery is lower than the target mandatory charging threshold, the engine will also be started to charge the battery. In this way, it can effectively avoid the problem that the vehicle cannot be started due to the self-discharge characteristics of the battery after the vehicle has been parked for a long time due to the low remaining power of the vehicle. Among them, the user can turn on or off the vehicle's intelligent idle charging function through a mobile terminal or a vehicle-mounted terminal.

[0169] In one example, the preset accuracy interval is set to [3%, 5%], the initial forced charging threshold can be set to 9%, the first correction amount is 3%, and the second correction amount is -3%. 精度 >5%, then according to the first correction amount 3%, the initial forced charging threshold 9% is corrected to obtain the target forced charging threshold of 12%; when 3% ≤ SOC 精度 ≤5%, the initial forced charging threshold remains unchanged; when SOC 精度 <3%, the initial forced charging threshold of 9% is corrected according to the second correction amount -3%, and the target forced charging threshold is obtained as 6%.

[0170] S103 - 2 : Based on the correction amount, the initial balance power threshold is corrected to obtain a target balance power threshold.

[0171] It should be noted that the initial balancing power threshold represents the default balancing power threshold set for the battery without considering the remaining power accuracy of the battery; the target balancing power threshold is the actual balancing power threshold obtained by correcting the initial balancing power threshold based on the current remaining power accuracy of the battery.

[0172] Specifically, the target balance power threshold is used to indicate that the target balance power threshold is used as the target remaining power of the battery, and the engine is controlled to charge the battery. That is, before the current remaining power of the battery is less than the target balance power threshold, the engine is controlled to continue charging the battery, and when the current remaining power of the battery reaches the target balance power threshold, the engine is controlled to stop charging.

[0173] In one example, the preset accuracy interval is set to [3%, 5%], the initial balance power threshold can be set to 20%, the first correction amount is 3%, and the second correction amount is -3%. 精度 >5%, then according to the first correction amount 3%, the initial balance power threshold 20% is corrected to obtain the target balance power threshold of 23%; when 3% ≤ SOC 精度 ≤5%, the initial balance power threshold remains unchanged; when SOC 精度 <3%, the initial balance power threshold of 20% is corrected according to the second correction amount -3%, and the target balance power threshold is obtained as 17%.

[0174] In this embodiment, compared with the prior art that sets a single and conservative large threshold for the remaining power threshold, by comprehensively considering various battery parameters that affect the remaining power accuracy of the battery, it is possible to accurately identify the remaining power accuracy, and then dynamically set a suitable target remaining power threshold for the battery according to the actual state of the battery. In this way, the remaining power accuracy of the battery can be improved to within 3%, and the battery SOC window can be lowered to 6%. While avoiding over-discharge of the battery, the battery can output more power, fully utilize the battery energy, and effectively improve the vehicle's range in pure electric mode.

[0175] In the second aspect, based on the same inventive concept, refer to Figure 2 , the embodiment of the present application provides a vehicle energy management device, the vehicle energy management device 200 includes:

[0176] The accuracy determination module 201 is used to determine the accuracy of the current remaining power of the battery based on multiple battery parameters of the battery;

[0177] The correction amount determination module 202 is used to determine the target correction amount based on the current remaining power accuracy; wherein different remaining power accuracy corresponds to different correction amounts;

[0178] The threshold correction module 203 is used to correct the initial remaining power threshold of the battery based on the target correction amount to obtain a target remaining power threshold; wherein the target remaining power threshold is used to perform energy management on the battery.

[0179] In one embodiment of the present application, the accuracy determination module 201 includes:

[0180] The first correction amount determination submodule is used to determine the accuracy of the current remaining power of the battery based on a plurality of battery parameters and parameter weights corresponding to the plurality of battery parameters.

[0181] In one embodiment of the present application, the accuracy determination module 201 includes:

[0182] The second correction amount determination submodule is used to input multiple battery parameters into the accuracy prediction model and output the current remaining power accuracy; wherein the accuracy prediction model is obtained by training based on sample battery parameters of the battery.

[0183] In one embodiment of the present application, the first correction amount determination submodule includes:

[0184] An initial accuracy score determination unit, used to determine initial accuracy scores corresponding to each of a plurality of battery parameters;

[0185] A weighted accuracy score determination unit, configured to determine weighted accuracy scores corresponding to each of the plurality of battery parameters based on the initial accuracy scores corresponding to each of the plurality of battery parameters and the parameter weights;

[0186] The remaining power accuracy determination unit is used to determine the current remaining power accuracy based on the weighted accuracy scores corresponding to each of the multiple battery parameters.

[0187] In one embodiment of the present application, the remaining power accuracy determination unit includes:

[0188] A comprehensive accuracy score determination subunit, used to determine a comprehensive accuracy score based on weighted accuracy scores corresponding to each of a plurality of battery parameters;

[0189] The scoring interval determination subunit is used to determine the target scoring interval to which the comprehensive accuracy score belongs among the preset multiple scoring intervals; different scoring intervals correspond to different accuracy values;

[0190] The remaining power accuracy determination subunit is used to determine the accuracy value corresponding to the target scoring interval as the current remaining power accuracy.

[0191] In one embodiment of the present application, multiple battery parameters include battery health status, battery operating temperature, charge and discharge rate, remaining power correction frequency, remaining power average correction amplitude and battery cell difference parameters; the battery cell difference parameters include maximum battery cell temperature difference, maximum battery cell pressure difference and / or maximum remaining power difference.

[0192] In one embodiment of the present application, the correction amount determination module 202 includes:

[0193] A first correction amount determination submodule, configured to determine that a target correction amount is zero when the current remaining power accuracy is within a preset accuracy range;

[0194] The second correction amount determination submodule is used to determine the target correction amount as the first correction amount when the current remaining power accuracy is greater than the upper limit value of the preset accuracy interval; the first correction amount is used to increase the initial remaining power threshold;

[0195] The third correction amount determination submodule is used to determine the target correction amount as the second correction amount when the current remaining power accuracy is less than the lower limit of the preset accuracy range; the second correction amount is used to reduce the initial remaining power threshold.

[0196] In an embodiment of the present application, the initial remaining power threshold includes an initial forced charging threshold and / or an initial balanced power threshold; the threshold correction module 203 includes:

[0197] A first threshold correction submodule, used to correct the initial forced charging threshold based on the correction amount to obtain a target forced charging threshold;

[0198] A second threshold correction submodule is used to correct the initial balance power threshold based on the correction amount to obtain a target balance power threshold;

[0199] Among them, the target forced charging threshold is used to indicate that when the current remaining power of the battery is lower than the target forced charging threshold, the vehicle's engine is started to charge the battery; the target balanced power threshold is used to indicate that the target balanced power threshold is used as the target remaining power of the battery, and the engine is controlled to charge the battery.

[0200] It should be noted that the specific implementation of the vehicle energy management device 200 in the embodiment of the present application refers to the specific implementation of the vehicle energy management method proposed in the first aspect of the embodiment of the present application, and will not be repeated here.

[0201] On the third aspect, based on the same inventive concept, an embodiment of the present application provides a computer-readable storage medium on which an executable program is stored. When the executable program is executed by a processor, the vehicle energy management method proposed in the first aspect of the present application is implemented.

[0202] It should be noted that the specific implementation of the computer-readable storage medium of the embodiment of the present application refers to the specific implementation of the vehicle energy management method proposed in the first aspect of the embodiment of the present application, and will not be repeated here.

[0203] Fourthly, refer to Figure 3 Based on the same inventive concept, the embodiment of the present application provides a vehicle 300, including:

[0204] Memory 301, used for storing executable programs;

[0205] Processor 302;

[0206] When the executable program is executed by the processor 302, the vehicle energy management method proposed in the first aspect of the present application is implemented.

[0207] It should be noted that the specific implementation of the vehicle 300 in the embodiment of the present application refers to the specific implementation of the vehicle energy management method proposed in the first aspect of the embodiment of the present application, and will not be repeated here.

[0208] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0209] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0210] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0211] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device so that a series of operating steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable terminal device to implement the process. Figure 1A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0212] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the embodiments of the present invention.

[0213] Finally, it should be noted that, in this article, relational terms such as first and second, etc. 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 terminal 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 terminal 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 terminal device including the elements.

[0214] The above is a detailed introduction to a vehicle energy management method, storage medium and vehicle provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A vehicle energy management method, characterized in that: The method comprises: Determining the accuracy of the current remaining power of the battery based on a plurality of battery parameters of the battery; Based on the current remaining power accuracy, determining a target correction amount; wherein different remaining power accuracy corresponds to different correction amounts; Based on the target correction amount, the initial remaining power threshold of the battery is corrected to obtain a target remaining power threshold; wherein the target remaining power threshold is used to perform energy management on the battery.

2. The vehicle energy management method according to claim 1, characterized in that: Determining the current remaining power accuracy of the battery based on multiple battery parameters of the battery includes: Based on the multiple battery parameters and the parameter weights corresponding to the multiple battery parameters, the accuracy of the current remaining power of the battery is determined.

3. The vehicle energy management method according to claim 1, characterized in that: Determining the current remaining power accuracy of the battery based on multiple battery parameters of the battery includes: The multiple battery parameters are input into an accuracy prediction model, and the current remaining power accuracy is output; wherein the accuracy prediction model is trained based on sample battery parameters of the battery.

4. The vehicle energy management method according to claim 2, characterized in that: Determining the current remaining power accuracy of the battery based on the multiple battery parameters and the parameter weights corresponding to the multiple battery parameters respectively includes: Determining an initial accuracy score corresponding to each of the plurality of battery parameters; Determining weighted accuracy scores corresponding to each of the plurality of battery parameters based on the initial accuracy scores and parameter weights corresponding to each of the plurality of battery parameters; The current remaining power accuracy is determined based on weighted accuracy scores corresponding to each of the plurality of battery parameters.

5. The vehicle energy management method according to claim 4, characterized in that: Determining the current remaining power accuracy based on the weighted accuracy scores corresponding to the plurality of battery parameters includes: Determine a comprehensive accuracy score based on the weighted accuracy scores corresponding to each of the multiple battery parameters; Determine a target scoring interval to which the comprehensive accuracy score belongs among a plurality of preset scoring intervals; different scoring intervals correspond to different accuracy values; The accuracy value corresponding to the target scoring interval is determined as the current remaining power accuracy.

6. The vehicle energy management method according to any one of claims 1 to 5, characterized in that: The multiple battery parameters include battery health status, battery operating temperature, charge and discharge rate, remaining power correction frequency, remaining power average correction amplitude and battery cell difference parameters; the battery cell difference parameters include maximum battery cell temperature difference, maximum battery cell pressure difference and / or maximum remaining power difference.

7. The vehicle energy management method according to claim 1, characterized in that: Based on the current remaining power accuracy, determining a target correction amount includes: When the current remaining power accuracy is within a preset accuracy range, determining the target correction amount to be zero; In the case where the current remaining power accuracy is greater than the upper limit value of the preset accuracy interval, determining the target correction amount to be a first correction amount; the first correction amount is used to increase the initial remaining power threshold; When the current remaining power accuracy is less than the lower limit of the preset accuracy interval, the target correction amount is determined to be a second correction amount; the second correction amount is used to reduce the initial remaining power threshold.

8. The vehicle energy management method according to claim 1, characterized in that: The initial remaining power threshold includes an initial forced charging threshold and / or an initial balancing power threshold; Based on the target correction amount, the initial remaining power threshold of the battery is corrected to obtain a target remaining power threshold, including: Based on the correction amount, the initial forced charging threshold is corrected to obtain a target forced charging threshold; and / or, Based on the correction amount, the initial balance power threshold is corrected to obtain a target balance power threshold; Among them, the target forced charging threshold is used to indicate that when the current remaining power of the battery is lower than the target forced charging threshold, the vehicle's engine is started to charge the battery; the target balanced power threshold is used to indicate that the target balanced power threshold is used as the target remaining power of the battery, and the engine is controlled to charge the battery.

9. A computer-readable storage medium having an executable program stored thereon, characterized in that: When the executable program is executed by the processor, the vehicle energy management method according to any one of claims 1 to 8 is implemented.

10. A vehicle, characterized in that: include: A memory for storing an executable program; processor; When the executable program is executed by the processor, the vehicle energy management method according to any one of claims 1 to 8 is implemented.

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