Method and device for confirming remaining charging time and vehicle

Abstract

The invention discloses a charging remaining time confirmation method and device and a vehicle, relates to the technical field of battery charging, and discloses a charging remaining time confirmation method which comprises the steps that current charging data of a battery pack are obtained, and the current charging data comprise the charging rate and the SOC value; based on the current charging data and a first charging model, acquiring heating charging time and a heating charging ending SOC value; acquiring constant-temperature charging time based on the temperature rise charging end SOC value and a second charging model; and on the basis of the heating charging time and the constant-temperature charging time, determining the remaining charging time. According to the basic characteristics of the temperature in the low-temperature fast charging process, the charging remaining time is calculated in a segmented mode, the fast charging remaining time is rapidly and accurately calculated in combination with a fitting method and given data, and excessive complex calculation and building and calculation of heat generation, heat conduction, heat dissipation and other models are avoided.

Description

Technical Field

[0001] The present application relates to the technical field of battery charging, and in particular to a method, device and vehicle for confirming remaining charging time. Background Art

[0002] As a key technology to improve the charging efficiency of electric vehicles and other devices that use batteries as energy storage devices, low-temperature fast charging technology often faces many challenges. Among them, a significant factor is the profound impact of the battery's own state of charge (SOC) and the current temperature environment on its charging behavior. Specifically, when the battery is in a low temperature state, the activity of its internal chemical reaction will decrease, which directly leads to the need for higher voltage or current to achieve the expected charging rate during the charging process, that is, a larger charging rate change. This rate change may not only increase the stress inside the battery, but also cause a sharp rise in the battery temperature, further affecting the battery life and safety performance.

[0003] In addition, low-temperature fast charging also involves the complexity of the heating and heat dissipation model of the battery pack. In order to ensure that the battery can be charged effectively and safely in a low-temperature environment, it is usually necessary to preheat the battery pack to increase the temperature of the battery to an appropriate operating range. However, this heating process itself consumes additional energy and requires precise control to avoid overheating. At the same time, during the charging process, as the chemical reaction inside the battery proceeds, a certain amount of heat will be generated, which requires the battery pack to have good heat dissipation capabilities to prevent safety problems caused by excessive temperature. Unfortunately, due to the diverse structure of the battery pack, including the arrangement of battery cells, the selection of heat transfer media and other factors, its heating and heat dissipation model becomes quite complex and difficult to accurately predict.

[0004] Therefore, in the application of low-temperature fast charging technology, how to accurately predict the remaining charging time becomes a key technical problem that needs to be solved urgently. Summary of the invention

[0005] The main purpose of this application is to provide a method, device and vehicle for confirming the remaining charging time, aiming to solve the technical problem that it is difficult to predict the remaining charging time during low-temperature fast charging.

[0006] To achieve the above-mentioned objectives, the present application proposes a method for confirming the remaining charging time, the method comprising: obtaining current charging data of the battery pack, the current charging data including the charging rate and the SOC value; based on the current charging data and a first charging model, obtaining the warming charging time and the SOC value at the end of the warming charging; based on the SOC value at the end of the warming charging and a second charging model, obtaining the constant temperature charging time; based on the warming charging time and the constant temperature charging time, confirming the remaining charging time.

[0007] In one embodiment, before the step of obtaining the heating charging time and the SOC value at the end of heating charging based on the current charging data and the first charging model, the step also includes: obtaining charging data of the battery pack at different temperatures; preprocessing and feature extraction of the charging data to obtain a charging data set to be fitted; fitting the charging rate and the SOC value based on the charging data set to be fitted to obtain a relationship curve between the charging rate and the SOC value; and generating a first charging model based on the relationship curve between the charging rate and the SOC value.

[0008] In one embodiment, the steps of preprocessing and feature extracting the charging data to obtain the charging data set to be fitted include: eliminating abnormal data points in the charging data; performing interpolation processing at the eliminated positions to obtain preprocessed charging data; performing feature extraction on the preprocessed charging data to obtain characteristic values; and organizing the preprocessed charging data based on the characteristic values ​​to generate the charging data set to be fitted.

[0009] In one embodiment, the step of generating the first charging model based on the relationship curve between the charging rate and the SOC value further includes: obtaining the charging rate change rate within a preset temperature range; setting an adjustment coefficient based on the charging rate change rate; and correcting the first charging model based on the adjustment coefficient.

[0010] In one embodiment, the step of obtaining the constant temperature charging time based on the SOC value at the end of the temperature rise charging and the second charging model includes: building a second charging model based on a rated relationship curve between the battery rate and SOC value of the battery pack; obtaining a target SOC value; and obtaining the constant temperature charging time based on the SOC value at the end of the temperature rise charging, the target SOC value and the second charging model.

[0011] In one embodiment, the step of confirming the remaining charging time based on the heating charging time and the constant temperature charging time also includes: recording the actual charging time of the battery pack; comparing the actual charging time and the remaining charging time; when the deviation value between the actual charging time and the remaining charging time is greater than a preset deviation range, updating the first charging model and the second charging model.

[0012] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for confirming the remaining charging time, and the device for confirming the remaining charging time includes: a data acquisition module, used to obtain the current charging data of the battery pack, and the current charging data includes the charging rate and the SOC value; a data calculation module, used to obtain the warming charging time and the SOC value at the end of the warming charging based on the current charging data and the first charging model; and also used to obtain the constant temperature charging time based on the SOC value at the end of the warming charging and the second charging model; and also used to confirm the remaining charging time based on the warming charging time and the constant temperature charging time.

[0013] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the method for confirming the remaining charging time as described above.

[0014] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the method for confirming the remaining charging time as described above are implemented.

[0015] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the method for confirming the remaining charging time as described above are implemented.

[0016] One or more technical solutions proposed in this application have at least the following technical effects:

[0017] According to the basic temperature characteristics of the low-temperature charging process, the heating charging time is obtained through the current charging data of the battery pack and the first charging model. The constant temperature charging time is obtained through the SOC value at the end of the heating charging and the second charging model. The remaining charging time is calculated in segments. The fitting method and given data are combined to quickly and accurately calculate the remaining fast charging time, avoiding overly complex calculations and the construction and calculation of models such as heat generation, heat conduction, and heat dissipation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0020] Figure 1 A flow chart of an embodiment of a method for confirming the remaining charging time of the present application;

[0021] Figure 2 A flowchart of an implementation method provided for a method for confirming the remaining charging time in the present application;

[0022] Figure 3 A schematic diagram of a first charging model provided for an embodiment of a method for confirming remaining charging time of the present application;

[0023] Figure 4 A schematic diagram of a second charging model provided for an embodiment of a method for confirming remaining charging time of the present application;

[0024] Figure 5 This is a schematic diagram of the module structure of a device for confirming the remaining charging time according to an embodiment of the present application;

[0025] Figure 6 This is a schematic diagram of the device structure of the hardware operating environment involved in the method for confirming the remaining charging time in an embodiment of the present application.

[0026] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0027] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0028] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0029] In the prior art, the estimation method is mainly based on the battery pack management system estimating the remaining time based on the incoming current, or estimating the remaining time based on the requested current.

[0030] The former scheme does not consider the problem that the initial temperature affects the current entering the package, and the current entering the package may increase in the future. The current entering the package cannot represent the average level in the future. The above reasons lead to inaccurate calculation time results. In the latter calculation scheme, the actual current entering the package does not follow the requested current, and the requested current is unstable, which will cause deviations in the estimation results. In addition, the requested current theoretically requires temperature prediction information, which also has uncertainty.

[0031] In addition, calculations are also performed based on test data. Different SOC points, different battery pack temperature points, and ambient temperature points require a large amount of test data, and the amount of preliminary testing work is large.

[0032] Based on this, the embodiment of the present application mainly provides a solution: obtain the current charging data of the battery pack, the current charging data including the charging rate and the SOC value; based on the current charging data and the first charging model, obtain the temperature rise charging time and the SOC value at the end of the temperature rise charging; based on the SOC value at the end of the temperature rise charging and the second charging model, obtain the constant temperature charging time; based on the temperature rise charging time and the constant temperature charging time, confirm the remaining charging time.

[0033] The solution provided by the present application is based on the basic temperature characteristics of the low-temperature charging process, obtains the heating charging time through the current charging data of the battery pack and the first charging model, obtains the constant temperature charging time through the SOC value at the end of the heating charging and the second charging model, and calculates the remaining charging time in segments. The fitting method and given data are combined to quickly and accurately calculate the remaining fast charging time, avoiding overly complex calculations and the establishment and calculation of models such as heat generation, heat conduction, and heat dissipation.

[0034] 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, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a vehicle, etc. capable of realizing the above functions. The following takes a vehicle as an example to illustrate this embodiment and the following embodiments.

[0035] Please refer to Figure 1 , Figure 1 A flowchart of an embodiment of a method for confirming the remaining charging time of the present application is provided. In this embodiment, the method for confirming the remaining charging time includes steps S10 to S40:

[0036] Step S10, obtaining current charging data of the battery pack, wherein the current charging data includes a charging rate and an SOC value.

[0037] It should be noted that the current charging data of the battery pack can be read through the battery management system (BMS) or other related sensors. In this solution, the charging rate and SOC value are the focus of attention.

[0038] The charge rate (C-rate) indicates the ratio of the charging current to the rated capacity of the battery. For example, 1C means the charging current is equal to the rated capacity of the battery. The SOC (State of Charge) value indicates the current state of charge of the battery, usually expressed as a percentage (0%-100%).

[0039] Specifically, the current charging data of the battery pack is obtained by sending a data request to the BMS through programming or specific software tools. This usually involves sending a specific command or query to request a specific data set. The data returned by the BMS is usually sent in a specific format such as binary. It is necessary to understand and parse these data formats to extract the required information. The charging rate and SOC value are extracted from the returned data packet through the vehicle algorithm.

[0040] Furthermore, data validation and error handling can be performed to verify whether the extracted data is accurate and reliable. Data accuracy can be ensured by comparing multiple data sources or performing consistency checks. If the data is incomplete, inaccurate, or unreadable, error handling mechanisms need to be implemented, such as logging errors, issuing alerts, or requesting data to be resent.

[0041] Further, the extracted data is stored in an appropriate storage medium such as a database, file, etc. for subsequent analysis and use. The charging rate and SOC value are displayed through a user interface (such as a dashboard, display, mobile application, etc.) so that the driver or technician can monitor the charging status of the battery pack in real time.

[0042] Step S20, based on the current charging data and the first charging model, obtaining the heating charging time and the heating charging end SOC value.

[0043] It should be noted that the power provided by the fast charging pile is usually sufficient and has sufficient power supply capacity to meet the battery heating needs. The power of the general battery heating system can reach 6kW, which is obviously higher than the heat dissipation power caused by the low ambient temperature. Therefore, the low-temperature battery fast charging can basically be divided into the charging stage of the battery temperature rising process and the charging stage of the battery temperature stabilization process according to the battery temperature trend. Therefore, the charging time steps of the charging stage of the battery temperature rising process are given in this embodiment.

[0044] It can be understood that the warm-up charging time refers to the time period required from the start of charging to the battery temperature reaching a certain stable level (or a specific temperature range) during the battery charging process. During this period of time, the battery gradually heats up due to the internal chemical reaction and the heat generated by the current. The length of the warm-up charging time is affected by many factors.

[0045] It is understandable that the first charging model can characterize the relationship between the current charging data and the heating charging time. Specifically, the first charging model usually takes into account the following factors: battery internal resistance and heat generation, battery heat capacity and thermal conductivity, battery chemical reactions and environmental conditions, etc. Usually based on the above factors, the first charging model can establish a set of equations, and by solving this set of equations, the heating charging time and the change in the battery's SOC value during this time period can be obtained. This model can be a static model used to predict the heating charging time under specific conditions; it can also be a dynamic model that can adjust the prediction results in real time according to the current charging data and environmental conditions.

[0046] In this solution, a method for building a first charging model is provided. In a feasible implementation, the complex equations are simplified and a model for calculating the heating charging time is provided in a simple and intuitive manner. Figure 2 , Figure 2 A flowchart of an implementation method provided for a method for confirming the remaining charging time in the present application.

[0047] Step A10, obtaining charging data of the battery pack at different temperatures.

[0048] It is understandable that the purpose of this step is to collect and analyze the charging behavior of the battery pack under different temperature conditions. Since the charging characteristics of the battery pack, such as the heating rate, SOC growth rate, and charging rate, are affected by temperature, when the battery is heated during charging, the SOC will gradually increase and the battery charging rate will also gradually increase. Therefore, obtaining charging data at different temperatures is crucial to understanding the charging behavior of the battery pack.

[0049] It should be noted that a series of representative temperature points are usually selected for data collection. These temperature points may include low temperature, normal temperature, high temperature, etc. to cover the operating temperature range that the battery pack may encounter. Then at each temperature point, it may be necessary to change the charging rate, charging voltage and other conditions to obtain charging data under different charging strategies. Finally, use a professional battery testing system or charging equipment to charge the battery pack and record various parameters of the charging process in real time, such as current, voltage, temperature, SOC, etc.

[0050] Step A20, preprocessing and feature extraction are performed on the charging data to obtain a charging data set to be fitted.

[0051] It is understandable that the purpose of this step is to clean and organize the collected charging data for subsequent data analysis and model fitting.

[0052] Specifically, the preprocessing and feature extraction include: eliminating abnormal data points in the charging data; performing interpolation processing at the eliminated positions to obtain preprocessed charging data; performing feature extraction on the preprocessed charging data to obtain characteristic values; and sorting the preprocessed charging data based on the characteristic values ​​to generate a charging data set to be fitted.

[0053] It is understandable that since there may be errors or abnormalities in the data collection process (such as sensor failure, equipment instability, etc.), these abnormal data points need to be removed to ensure the quality of the data. After removing the abnormal data points, in order to maintain the continuity of the data, interpolation processing can be performed at the removed positions. Interpolation methods such as linear interpolation and polynomial interpolation, etc., the specific method to be selected depends on the characteristics and requirements of the data.

[0054] Furthermore, feature values ​​that have a significant impact on charging behavior are extracted from the preprocessed charging data. These feature values ​​may include charging time, SOC change, temperature change, charging rate, etc. Based on the extracted feature values, the preprocessed charging data is sorted to generate a structured data set, which is the charging data set to be fitted. This data set will be used for subsequent model fitting and analysis.

[0055] Step A30, fitting the charging rate and the SOC value based on the charging data set to be fitted, and obtaining a relationship curve between the charging rate and the SOCC value.

[0056] It should be noted that the relationship curve between the charge rate (C-rate) and the battery state of charge (SOC) is fitted using the preprocessed charging data set, i.e., the charging data set to be fitted generated in step A20. This relationship curve can describe the change of the battery charge rate as the temperature rises, which is a gradual increase in the SOCC value. Charging data at a specific temperature are selected from the charging data set to be fitted, and these data should include the SOCC value and the corresponding charging rate.

[0057] It should be noted that mathematical methods such as polynomial fitting, exponential fitting, machine learning algorithms, etc. are usually used to fit these data points to generate a relationship curve between the charging rate and the SOCC value.

[0058] Step A40: generating a first charging model based on the relationship curve between the charging rate and the SOCC value.

[0059] Specifically, in the battery temperature rising stage, the initial temperature is low and the heating target temperature is high. According to the characteristic data of the battery pack, at the current SOCC (battery state of charge), the difference between the target temperature charging rate and the current temperature charging rate is recorded as C T-0 .

[0060] like Figure 3 As shown, Figure 3 A schematic diagram of the first charging model provided for the embodiment of the method for confirming the remaining charging time of the present application. When the battery is heated during charging, the SOCC will gradually increase, and the battery charging rate will also gradually increase. When approaching the target charging temperature, there is a curve rising relationship, which is manifested as follows: in the early stage, due to full power operation of the heating, the heat is generated quickly and the target temperature is approached quickly, and in the later stage, due to heating regulation, the target temperature is gradually approached. Therefore, the inverse tangent function curve fitting is adopted to obtain the relationship between SOCC and the charging rate during the heating process as the first charging model:

[0061] y=A*arctan(x)+C0.

[0062] The variable x represents the growth of SOCC from the initial SOCC, with a maximum value of 100%. A is the scaling factor of the curve on the ordinate, with a value of C T-0 / (π / 2), so that the maximum value of the function is C T-0 C0 represents the initial temperature and the charge rate at the initial SOCC.

[0063] Step A50, obtaining the charging rate change rate within a preset temperature range.

[0064] It should be noted that the preset temperature range is usually a range of values ​​close to a constant temperature. At this time, the charging rate change rate within the preset temperature range can well represent the speed at which the charging rate approaches the charging rate at the target temperature.

[0065] Specifically, at each temperature point within a preset temperature range, a charging test is performed, and changes in the charging rate over time and SOCC are recorded.

[0066] Furthermore, based on the collected data, the rate of change of the charge rate at each temperature point is calculated, which can be achieved by differentiating the charge rate data or calculating the difference between adjacent data points.

[0067] Step A60: setting an adjustment coefficient based on the charging rate change rate.

[0068] It should be noted that in this step, we will set one or more adjustment coefficients according to the charge rate change rate, and these coefficients will be used for the subsequent correction of the first charging model. First, analyze the relationship between the charge rate change rate and temperature to determine in which temperature ranges the charge rate changes significantly. Based on the analysis results, set different adjustment coefficients for different temperature ranges. These coefficients should be able to reflect the trend and degree of charge rate change with temperature.

[0069] Step A70: Correcting the first charging model based on the adjustment coefficient.

[0070] It should be noted that, according to the adjustment coefficient, the relevant parameters in the first charging model are adjusted. This may involve modifying the mathematical formula, algorithm or logic in the model. Use new charging data or experimental data to verify the effect of the corrected model. Compare the difference between the predicted results of the model before and after the correction and the actual data to evaluate the effectiveness of the correction.

[0071] It is understandable that if the correction effect is not ideal, the adjustment coefficient can be readjusted and the model can be corrected again in step A60. This process may require multiple iterations until the model can meet the predetermined accuracy and reliability requirements.

[0072] Specifically, this solution introduces an adjustment coefficient B into the first charging model shown, and obtains a new first charging model:

[0073] y=A*arctan(Bx)+C0.

[0074] The larger the value of the adjustment coefficient B, the faster the charging rate approaches the charging rate at the target temperature, and the smaller the value of B, the slower the charging rate approaches the target temperature. The adjustment coefficient B can be calibrated using experimental data.

[0075] Specifically, when the initial SOC is known, the charging rate at the initial temperature and the charging rate at the target temperature are both battery characteristic data, so the difference between the two can also be calculated to know the change process of the charging rate.

[0076] At y = 0.9C T-0 When the battery temperature rise process is approximately completed, the SOC is obtained by the inverse function. Δ y represents the charging rate of the battery pack. According to its meaning, within the temperature rise interval of the battery pack (SOC0, SOCΔ), the time consumed by the battery pack to charge is recorded as T1, in units of h. The temperature rise charging time can be obtained by calculation:

[0077]

[0078] It can be understood that the SOC value at the end of the temperature rise charging stage is the temperature rise charging end SOC value, and the temperature rise charging stage ends at the time point when the temperature rises to the preset target temperature.

[0079] In this embodiment, a first charging model for calculating the temperature rise charging time is simply and intuitively provided, which can provide the user with useful information about the battery charging progress and help optimize the charging strategy and improve the charging efficiency.

[0080] Step S30, obtaining the constant temperature charging time based on the SOC value at the end of the temperature rise charging and the second charging model.

[0081] It is understandable that the second charging model is a mathematical or algorithmic model that is specifically used to describe the charging behavior of the battery under constant temperature conditions. This model may take into account a variety of factors, including but not limited to the chemical characteristics of the battery, thermal effects, and changes in voltage, current, and SOC during the charging process. Unlike the first charging model (which may focus on describing the charging behavior of the battery during the heating stage), the second charging model focuses more on the constant temperature stage, that is, the charging process after the battery temperature has reached a preset value and remains stable.

[0082] It should be noted that the constant temperature charging time refers to the time required for the battery to be fully charged by controlling the charging current to keep the battery temperature near a certain set value after the battery temperature reaches a certain set value during the charging process. This process is designed to optimize charging efficiency, reduce thermal stress on the battery, and extend the battery life.

[0083] It is understandable that after obtaining the SOC value at the end of the temperature-increasing charging, it can be used as one of the input parameters with the second charging model. This model will calculate the time required for constant temperature charging based on the input SOC value and other possible parameters (such as battery temperature, target SOC, etc.).

[0084] In a feasible implementation, specific steps are given: based on the rated relationship curve between the battery rate and the SOC value of the battery pack, a second charging model is built; a target SOC value is obtained; based on the SOC value at the end of the warm-up charging, the target SOC value and the second charging model, a constant temperature charging time is obtained. It should be noted that the target SOC value is usually 100%, and can also be set to other values.

[0085] Specifically, by inputting the SOC-charge rate curve provided by the battery pack manufacturer, Figure 4 As shown, Figure 4 A schematic diagram of a second charging model provided in an embodiment of a method for confirming remaining charging time of the present application.

[0086] Therefore, within the stable battery temperature range, T2 is the constant temperature charging time, in hours. The constant temperature charging time T2 can be obtained by calculation:

[0087]

[0088] Step S40, confirming the remaining charging time based on the temperature rise charging time and the constant temperature charging time.

[0089] It should be noted that the total charging time required for the battery to be fully charged from the start of charging is obtained by adding the heating charging time and the constant temperature charging time. The remaining charging time is obtained by subtracting the elapsed charging time from the total charging time, that is, the current time minus the time when charging starts. The calculated remaining time is output in a user-friendly manner, such as displaying it on the screen of the charging device, or informing the user through voice prompts or other means.

[0090] In this embodiment, based on the basic temperature characteristics of the low-temperature charging process, the heating charging time is obtained through the current charging data of the battery pack and the first charging model, and the constant temperature charging time is obtained through the SOC value at the end of the heating charging and the second charging model. The remaining charging time is calculated in segments, and the fitting method and given data are combined to quickly and accurately calculate the remaining fast charging time, avoiding overly complex calculations and the establishment and calculation of models such as heat generation, heat conduction, and heat dissipation.

[0091] In a feasible implementation, based on the above embodiment, the entire confirmation process can be further refined. The steps include: recording the actual charging time of the battery pack; comparing the actual charging time and the remaining charging time; when the deviation between the actual charging time and the remaining charging time is greater than a preset deviation range, updating the first charging model and the second charging model.

[0092] It should be noted that during the battery pack charging process, the total time from the start of charging to the end of charging is recorded in real time, which includes the heating charging time, the constant temperature charging time and any possible additional time (such as pause time, adjustment time, etc.

[0093] It should be noted that the remaining charging time is calculated based on the heating charging time and the constant temperature charging time calculated in the previous step (which may also include other known time factors), and the calculated remaining time is compared with the expected remaining time obtained by other means (such as user input, system prediction, etc.).

[0094] It should be noted that the deviation between the actual charging time and the calculated remaining charging time is calculated. This deviation value may be an absolute time difference or a relative percentage. This deviation value is compared with the preset deviation range. The preset deviation range is set according to the characteristics of the battery pack, charging conditions, and the accuracy expected by the user.

[0095] It should be noted that if the deviation value is greater than the preset deviation range, it means that the currently used charging model (the first charging model and / or the second charging model) may not be accurate enough and needs to be updated. If the deviation value is within the preset deviation range, it means that the current model is accurate enough and can continue to be used.

[0096] It should be noted that when you decide to update the model, collect new charging data, including voltage, current, temperature, SOC value, etc., which should be able to reflect the actual behavior of the battery pack during the charging process. Use the new data to train or calibrate the charging model to improve the accuracy and reliability of the model. The updated model should be able to more accurately predict the heating charging time, constant temperature charging time, and total charging time.

[0097] It should be noted that the updated model is applied to the actual charging process and data is collected to evaluate the performance of the model. If it is found that the model still has deviations or deficiencies, the above steps can be repeated for further optimization and iteration.

[0098] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the method for confirming the remaining charging time of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0099] This application also provides a device for confirming the remaining charging time. Please refer to Figure 5 The device for confirming the remaining charging time includes: a data acquisition module 10 for obtaining current charging data of the battery pack, wherein the current charging data includes a charging rate and an SOC value; a data calculation module 20 for obtaining a heating charging time and a heating charging end SOC value based on the current charging data and a first charging model; and for obtaining a constant temperature charging time based on the heating charging end SOC value and a second charging model; and for confirming the remaining charging time based on the heating charging time and the constant temperature charging time.

[0100] The device for confirming the remaining charging time provided by the present application adopts the method for confirming the remaining charging time in the above-mentioned embodiment, which can solve the technical problem that it is difficult to predict the remaining charging time during low-temperature fast charging. Compared with the prior art, the beneficial effects of the device for confirming the remaining charging time provided by the present application are the same as the beneficial effects of the method for confirming the remaining charging time provided by the above-mentioned embodiment, and the other technical features of the device for confirming the remaining charging time are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0101] The present application provides a vehicle, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for confirming the remaining charging time in the above-mentioned embodiment one.

[0102] Reference below Figure 6, which shows a schematic diagram of a structure of a vehicle suitable for implementing the embodiment of the present application. The vehicle in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The vehicle shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0103] like Figure 6 As shown, the vehicle may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for vehicle operation are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the vehicle to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a vehicle with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0104] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0105] The vehicle provided by the present application adopts the method for confirming the remaining charging time in the above embodiment, which can solve the technical problem that it is difficult to predict the remaining charging time during low-temperature fast charging. Compared with the prior art, the beneficial effects of the vehicle provided by the present application are the same as the beneficial effects of the method for confirming the remaining charging time provided by the above embodiment, and the other technical features in the vehicle are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0106] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0107] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0108] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the method for confirming the remaining charging time in the above-mentioned embodiment.

[0109] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0110] The computer-readable storage medium may be included in the vehicle, or may exist independently without being installed in the vehicle.

[0111] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the vehicle, the vehicle: obtains the current charging data of the battery pack, and the current charging data includes the charging rate and the SOC value; based on the current charging data and the first charging model, obtains the warming charging time and the SOC value at the end of the warming charging; based on the SOC value at the end of the warming charging and the second charging model, obtains the constant temperature charging time; based on the warming charging time and the constant temperature charging time, confirms the remaining charging time.

[0112] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0113] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0114] The modules involved in the embodiments of the present application may be implemented by software or hardware, wherein the name of the module does not limit the unit itself in some cases.

[0115] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for confirming the remaining charging time, and can solve the technical problem that it is difficult to predict the remaining charging time during low-temperature fast charging. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the method for confirming the remaining charging time provided in the above-mentioned embodiment, and will not be repeated here.

[0116] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned method for confirming the remaining charging time when executed by a processor.

[0117] The computer program product provided by this application can solve the technical problem that it is difficult to predict the remaining charging time during low-temperature fast charging. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the method for confirming the remaining charging time provided by the above embodiment, which will not be repeated here.

[0118] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for confirming the remaining charging time, characterized in that: The method comprises: Acquire current charging data of the battery pack, wherein the current charging data includes a charging rate and an SOC value; Based on the current charging data and the first charging model, acquiring the warming charging time and the warming charging end SOC value; Based on the SOC value at the end of the temperature-increasing charging and the second charging model, obtaining the constant temperature charging time; Based on the temperature rising charging time and the constant temperature charging time, a remaining charging time is confirmed.

2. The method for confirming the remaining charging time according to claim 1, characterized in that: Before the step of obtaining the heating charging time and the heating charging end SOC value based on the current charging data and the first charging model, the step further includes: Obtain charging data of battery packs at different temperatures; Preprocessing and feature extraction are performed on the charging data to obtain a charging data set to be fitted; Fitting the charging rate and the SOC value based on the charging data set to be fitted to obtain a relationship curve between the charging rate and the SOC value; A first charging model is generated based on the relationship curve between the charging rate and the SOC value.

3. The method for confirming the remaining charging time according to claim 2, characterized in that: The step of preprocessing and feature extracting the charging data to obtain the charging data set to be fitted includes: Eliminate abnormal data points in charging data; Perform interpolation processing at the removed position to obtain pre-processed charging data; Perform feature extraction on the preprocessed charging data to obtain feature values; The preprocessed charging data is sorted based on the characteristic values ​​to generate a charging data set to be fitted.

4. The method for confirming the remaining charging time according to claim 3, characterized in that: After the step of generating the first charging model based on the relationship curve between the charging rate and the SOC value, the step further includes: Get the charge rate change rate within the preset temperature range; Based on the charging rate change rate, setting an adjustment coefficient; The first charging model is corrected based on the adjustment coefficient.

5. The method for confirming the remaining charging time according to claim 4, characterized in that: The step of obtaining the constant temperature charging time based on the SOC value at the end of the temperature rise charging and the second charging model comprises: Based on the rated relationship curve between the battery rate and SOC value of the battery pack, a second charging model is constructed; Obtain target SOC value; The constant temperature charging time is acquired based on the temperature-raising charging end SOC value, the target SOC value and the second charging model.

6. The method for confirming the remaining charging time according to claim 1, characterized in that: After the step of confirming the remaining charging time based on the temperature rise charging time and the constant temperature charging time, the following step further comprises: Record the actual charging time of the battery pack; Comparing the actual charging time with the remaining charging time; When the deviation between the actual charging time and the remaining charging time is greater than a preset deviation range, the first charging model and the second charging model are updated.

7. A device for confirming the remaining charging time, characterized in that: The device comprises: A data acquisition module, used to acquire current charging data of the battery pack, wherein the current charging data includes a charging rate and an SOC value; The data calculation module is used to obtain the heating charging time and the SOC value at the end of the heating charging based on the current charging data and the first charging model; it is also used to obtain the constant temperature charging time based on the SOC value at the end of the heating charging and the second charging model; it is also used to confirm the remaining charging time based on the heating charging time and the constant temperature charging time.

8. A vehicle, characterized in that: The vehicle comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for confirming the remaining charging time according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the method for confirming the remaining charging time according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method for confirming the remaining charging time according to any one of claims 1 to 6 are implemented.

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