Vehicle battery data processing methods, devices, computer equipment, and storage media

Abstract

This application relates to a method, apparatus, computer equipment, storage medium, and computer program product for processing vehicle battery data. The method includes: acquiring real-world vehicle operating condition data; filtering and processing the real-world operating condition data to obtain battery parameters; the battery parameters include the current and cell temperature at multiple time points; determining a current threshold for each time point based on the current and cell temperature at each time point; if the relationship between the current and the current threshold at any time point satisfies a preset current adjustment condition, adjusting the current at that time point to obtain an adjusted current, and returning to the step of determining the current threshold for each time point based on the current and cell temperature at each time point, until a preset stop condition is reached. This method can ensure the effectiveness of subsequent bench tests by processing the real-world vehicle operating condition data.

Description

Technical Field

[0001] This application relates to the field of automotive technology, and in particular to a method, apparatus, computer equipment, storage medium, and computer program product for processing battery data of a vehicle. Background Technology

[0002] With the development of automotive technology, batteries, as one of the three core components of electric vehicles, play a crucial role in the safety, power, and economy of electric vehicles. To fully evaluate battery performance, bench tests are generally required to measure basic safety and performance indicators; therefore, test data is essential.

[0003] Currently, various vehicle road test data serve as the source of test data for bench tests. However, due to the fragmented and incomplete nature of this data, directly using it for bench tests would result in low reliability. Traditional technologies have limited research on processing operating condition data from battery bench tests, leading to lower test effectiveness. Summary of the Invention

[0004] Therefore, it is necessary to provide a vehicle battery data processing method, apparatus, computer equipment, computer-readable storage medium, and computer program product that can ensure the effectiveness of subsequent bench tests by processing the actual vehicle operating condition data.

[0005] In a first aspect, this application provides a method for processing battery data of a vehicle, comprising:

[0006] Obtain real-world vehicle operating condition data;

[0007] Based on the real vehicle operating condition data, the battery parameters are obtained through filtering and processing; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0008] Based on the current and cell temperature at each time point, determine the current threshold for each time point;

[0009] If the relationship between the current and the current threshold at any given time point satisfies a preset current adjustment condition, then the current at that time point is adjusted to obtain an adjusted current. After adjustment, the process of determining the current threshold for each time point based on the current and cell temperature at each time point is returned, continuing until a preset stopping condition is met. In one embodiment, the step of filtering the battery parameters based on the actual vehicle operating condition data includes:

[0010] Based on the actual vehicle operating condition data, data types are filtered to obtain initial battery parameters;

[0011] Remove abnormal and invalid battery parameters from the initial battery parameters to obtain the final battery parameters. In one embodiment, the method further includes:

[0012] Calculate the average value of the initial battery parameters;

[0013] Based on the average value, the standard deviation of the initial battery parameters is obtained;

[0014] Based on the initial battery parameters and the standard deviation, abnormal battery parameters present in the initial battery parameters are determined. In one embodiment, determining the current threshold at each time point based on the current and cell temperature at each time point includes:

[0015] Select one of the aforementioned time points as the current time point;

[0016] Based on the current time point, the current corresponding to the current time point, and the previous battery state of charge corresponding to the previous time point, the current battery state of charge corresponding to the current time point is calculated.

[0017] The next time point of the current time is updated to the new current time point, and the step of calculating the current battery state of charge corresponding to the current time point is returned based on the current time point, the current corresponding to the current time point, and the previous battery state of charge corresponding to the previous time point of the current time point, until the current battery state of charge of each time point is calculated.

[0018] The current threshold for each time point is determined based on the current state of charge and cell temperature at each time point.

[0019] In one embodiment, determining the current threshold at each time point based on the current state of charge and cell temperature at each time point includes:

[0020] For each point in time, the current threshold for the corresponding time point is obtained by looking up a table based on the current battery state of charge and cell temperature.

[0021] In one embodiment, if the current at any point in time is greater than or equal to the current threshold, it is determined that the preset current adjustment condition is met.

[0022] Obtain the battery state of charge and current associated with that time point, and perform interpolation calculations based on the associated battery state of charge and current to determine the adjustment current at that time point.

[0023] Secondly, this application also provides a battery data processing device for a vehicle, comprising:

[0024] The data acquisition module is used to acquire real-world vehicle operating condition data.

[0025] The filtering module is used to perform filtering processing based on the actual vehicle operating condition data to obtain battery parameters; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0026] The current threshold determination module is used to determine the current threshold for each time point based on the current and cell temperature at each time point.

[0027] The current adjustment module is used to adjust the current at any given time point if the relationship between the current and the current threshold at any given time point meets the preset current adjustment conditions, obtain the adjusted current, and return the current threshold at each time point based on the current and cell temperature at each time point after adjustment, until the preset stop condition is met.

[0028] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0029] Obtain real-world vehicle operating condition data;

[0030] Based on the real vehicle operating condition data, the battery parameters are obtained through filtering and processing; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0031] Based on the current and cell temperature at each time point, determine the current threshold for each time point;

[0032] If the relationship between the current and the current threshold at any given time point satisfies the preset current adjustment condition, then the current at that time point is adjusted to obtain the adjusted current. After adjustment, the process of determining the current threshold at each time point based on the current and cell temperature at each time point is returned until the preset stop condition is met.

[0033] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0034] Obtain real-world vehicle operating condition data;

[0035] Based on the real vehicle operating condition data, the battery parameters are obtained through filtering and processing; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0036] Based on the current and cell temperature at each time point, determine the current threshold for each time point;

[0037] If the relationship between the current and the current threshold at any given time point satisfies the preset current adjustment condition, then the current at that time point is adjusted to obtain the adjusted current. After adjustment, the process of determining the current threshold at each time point based on the current and cell temperature at each time point is returned until the preset stop condition is met.

[0038] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0039] Obtain real-world vehicle operating condition data;

[0040] Based on the real vehicle operating condition data, the battery parameters are obtained through filtering and processing; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0041] Based on the current and cell temperature at each time point, determine the current threshold for each time point;

[0042] If the relationship between the current and the current threshold at any given time point satisfies the preset current adjustment condition, then the current at that time point is adjusted to obtain the adjusted current. After adjustment, the process of determining the current threshold at each time point based on the current and cell temperature at each time point is returned until the preset stop condition is met.

[0043] The aforementioned vehicle battery data processing method, apparatus, computer equipment, storage medium, and computer program product acquire real-vehicle operating condition data; based on the real-vehicle operating condition data, perform filtering processing to obtain battery parameters; battery parameters include the current and cell temperature at multiple time points; based on the current and cell temperature at each time point, determine the current threshold for each time point; if the relationship between the current and the current threshold at any time point satisfies a preset current adjustment condition, then the current at that time point is adjusted to obtain an adjusted current, and after adjustment, the process returns to the step of determining the current threshold for each time point based on the current and cell temperature at each time point, until a preset stop condition is reached. In the vehicle battery data processing process, the acquired real-vehicle operating condition data is filtered to obtain battery parameters, ensuring the validity of subsequent input bench test data, further determining the current threshold, and when the preset current adjustment condition is met based on the current and current threshold, the current is adjusted. Through multiple iterative processes, the goal is to ensure that the current at all time points does not exceed the current threshold, effectively ensuring the safety of the battery data and providing a foundation for the normal conduct of subsequent bench tests. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is an application environment diagram of a vehicle battery data processing method in one embodiment;

[0046] Figure 2 This is a flowchart illustrating a battery data processing method for a vehicle in one embodiment.

[0047] Figure 3 This is a flowchart illustrating a vehicle battery data processing method in another embodiment;

[0048] Figure 4 This is a structural block diagram of a vehicle battery data processing device in one embodiment;

[0049] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0051] The vehicle battery data processing method provided in this application embodiment can be applied to, for example... Figure 1 The application environment shown. Among them, Figure 1 The application environment shown includes a computer device 102 and a test bench 104. The computer device can obtain real-vehicle operating condition data through a data platform or real-vehicle data acquisition, and perform filtering and processing based on the real-vehicle operating condition data to obtain battery parameters. The battery parameters include the current and cell temperature at multiple time points. Based on the current and cell temperature at each time point, a current threshold is determined for each time point. If the relationship between the current and the current threshold at any time point meets a preset current adjustment condition, the current at that time point is adjusted to obtain an adjusted current. After adjustment, the process of determining the current threshold for each time point based on the current and cell temperature at each time point is returned, until a preset stop condition is reached. Then, the computer device can send the adjusted current to the test bench 104, which will then perform targeted tests on the battery's performance indicators, safety indicators, etc.

[0052] The computer equipment can be a terminal or a server. Terminals can be, but are not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle systems. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. Servers can be implemented using independent servers or server clusters composed of multiple servers.

[0053] In one exemplary embodiment, such as Figure 2 As shown, a method for processing vehicle battery data is provided, which can be applied to... Figure 1 The following steps are used as an example of computer equipment, including steps 202 to 208. Wherein:

[0054] Step 202: Obtain the actual vehicle operating condition data.

[0055] Specifically, computer equipment can acquire real-vehicle operating condition data through data platforms or real-vehicle data collection. This real-vehicle operating condition data may include, but is not limited to, battery current, cell voltage, cell temperature, and battery strength.

[0056] Step 204: Based on the actual vehicle operating condition data, perform filtering and processing to obtain battery parameters; battery parameters include the current and cell temperature of the battery at multiple time points.

[0057] Among them, screening processing refers to the screening of data types and outlier filtering of actual vehicle operating condition data in order to preprocess the actual vehicle operating condition data, thereby ensuring the validity of bench test data, which is the basis for the normal operation of the test.

[0058] Specifically, when computer equipment filters and processes real-time vehicle condition data, it can first determine the required data type, such as current, voltage, and cell temperature, from the real-time operating data. Then, it can further filter out the abnormal values ​​in the obtained current, voltage, and cell temperature to obtain time series data, that is, the current, voltage, and cell temperature at each time point.

[0059] In some embodiments, the computing device filters and processes real-time vehicle condition data to obtain the current and cell temperature at each point in time.

[0060] Step 206: Determine the current threshold for each time point based on the current and cell temperature at each time point.

[0061] Among them, the current threshold is the maximum value of the current obtained. By determining the current threshold, the current magnitude can be limited to avoid overcharging and over-discharging, thus effectively ensuring the safety of the battery.

[0062] Specifically, the computer equipment can determine the current threshold at each time point based on the current and cell temperature at each time point.

[0063] Step 208: If the relationship between the current and the current threshold at any time point satisfies the preset current adjustment condition, then the current at that time point is adjusted to obtain the adjusted current. After adjustment, the process of determining the current threshold at each time point based on the current and cell temperature at each time point is returned until the preset stop condition is met.

[0064] Among them, the preset current adjustment condition is a condition set to determine whether to adjust the current. Specifically, it can be whether the current is greater than or equal to the current threshold. If the current is greater than or equal to the current threshold, then the preset current adjustment condition is met.

[0065] The preset stop condition is a set condition for stopping current adjustment. This can be a set threshold for the number of adjustments; once the threshold is reached, the preset stop condition is considered met. Alternatively, it can be whether the current at all time points is less than its corresponding current threshold; if the current at all time points is less than its corresponding current threshold, the preset stop condition is considered met. Specifically, when the computer determines that the current at any given time point is greater than or equal to the current threshold, the preset current adjustment condition is met. Further, the computer can adjust the current at that time point to obtain the adjusted current and return to the step of re-determining the current threshold. This process continues until the current at all time points is less than the current threshold, at which point the preset stop condition is considered met. Through multiple iterations, the goal is to ensure that all current sequences do not exceed the threshold, effectively guaranteeing battery safety and the validity of the input bench test data, providing a foundation for subsequent bench tests.

[0066] The battery data processing method for the aforementioned vehicle involves: acquiring real-world vehicle operating condition data; filtering and processing this data to obtain battery parameters; battery parameters including current and cell temperature at multiple time points; determining the current threshold for each time point based on the current and cell temperature; if the relationship between the current and the current threshold at any time point satisfies a preset current adjustment condition, the current at that time point is adjusted to obtain an adjusted current, and the process returns to the step of determining the current threshold for each time point based on the current and cell temperature, continuing until a preset stopping condition is met. In the vehicle battery data processing, filtering the acquired real-world vehicle operating condition data to obtain battery parameters ensures the validity of subsequent bench test data, further determining the current threshold. When the preset current adjustment condition is met based on the current and the current threshold, the current is adjusted. Through multiple iterative processes, the goal is to ensure that the current at all time points does not exceed the current threshold, effectively guaranteeing the safety of the battery data and providing a foundation for the normal conduct of subsequent bench tests.

[0067] In one exemplary embodiment, battery parameters are obtained by filtering based on real vehicle operating condition data, including: filtering the data type based on real vehicle operating condition data to obtain initial battery parameters; and removing abnormal and invalid battery parameters from the initial battery parameters to obtain the final battery parameters.

[0068] Data type selection refers to the process of obtaining the required target data type. The determination of the target data type can be adapted to the actual bench test content. Initial battery parameters can include data under the original target data type initially extracted by the computer equipment. For example, if the target data type includes current, the initial battery parameters include the current at each time point; if the target data type includes voltage, the initial battery parameters include the voltage at each time point; if the target data type includes cell temperature, the initial battery parameters include the cell temperature at each time point.

[0069] Abnormal battery parameters are battery parameters that exceed the set reasonable range, while invalid battery parameters refer to invalid battery parameters.

[0070] Specifically, the computer equipment can filter data types based on real-vehicle operating condition data to obtain initial battery parameters. These initial battery parameters may include parameters such as current, cell voltage, and cell temperature. Further, the computer equipment can initially extract the required data format according to the time series, such as processing it as a .mat file to obtain the current, cell voltage, and cell temperature at each time point. Due to the fragmented nature of the collected data, there are many outliers, such as current, cell voltage, or cell temperature exceeding reasonable ranges at some time points, or invalid values ​​at some time points. The computer equipment can remove abnormal and invalid battery parameters to obtain the final battery parameters.

[0071] In the above embodiments, the computer equipment can ensure the validity of the input bench test data by preprocessing the data of the actual vehicle conditions, thus providing a foundation for the normal conduct of subsequent bench tests.

[0072] In one exemplary embodiment, the vehicle's battery data processing further includes: calculating the average value of initial battery parameters; obtaining the standard deviation of the initial battery parameters based on the average value; and determining any abnormal battery parameters present in the initial battery parameters based on the initial battery parameters and the standard deviation.

[0073] Specifically, the computer equipment can calculate the average value of the initial battery parameters for each type, such as the average current, average cell voltage, and average cell temperature at each time point. Based on the obtained average values, the standard deviation of the initial battery parameters for each type is determined, and based on the initial battery parameters and standard deviations, abnormal battery parameters present in the initial battery parameters are identified.

[0074] In some embodiments, the initial battery parameter is current. The computer device can calculate the average current at each time point, and based on the average current and the current at each time point, determine the standard deviation of the current. Further, the computer device can determine an abnormal range based on the standard deviation, which can be determined according to plus or minus three times the standard deviation of the current. The computer device can identify currents outside the abnormal range at each time point as abnormal currents.

[0075] In the above embodiments, the computer device can process outliers in the initial battery parameters according to a normal distribution, which can accurately remove abnormal parameters in the initial battery parameters, ensure the validity of the input bench test data, and provide a basis for the normal conduct of subsequent bench tests.

[0076] In an exemplary embodiment, determining the current threshold for each time point based on the current and cell temperature at each time point includes: selecting a time point as the current time point from among the time points; calculating the current battery state of charge (SBC) corresponding to the current time point based on the current time point, the current corresponding to the current time point, and the previous battery SBC corresponding to the current time point; updating the next time point of the current time point to the new current time point, and returning the step of calculating the current battery SBC corresponding to the current time point based on the current time point, the current corresponding to the current time point, and the previous battery SBC corresponding to the current time point, until the current battery SBC for each time point is calculated; and determining the current threshold for each time point based on the current battery SBC and cell temperature at each time point.

[0077] Here, the battery state of charge refers to the battery's SOC (State of Charge). The previous battery state of charge is the SOC at the previous time point, and the current battery state of charge is the SOC at the current time point.

[0078] Specifically, when determining the current threshold, the computer device can select a time point from various time points as the current time point. For example, it can select the initial time point (i.e., the first time point) as the current time point according to the chronological order. Based on the current time point, the current corresponding to the current time point, and the previous battery state of charge (SOC) corresponding to the current time point, it determines the current state of charge (SOC) at the current time point. When the current time point is the initial time point, the previous battery SOC can be calculated based on the cell voltage in the battery parameters, or it can be directly determined from the SOC included in the battery parameters; there are no restrictions here. Furthermore, after calculating the current battery SOC at the current time point, the computer device can determine the next time point as the new current time point according to the chronological order, and return to the step of calculating the current battery SOC, until the current battery SOC corresponding to each time point is determined, at which point the return process stops.

[0079] Finally, the computer equipment can determine the current threshold at each time point based on the cell temperature and the current state of charge of the battery.

[0080] In the above embodiments, the computer device can iteratively calculate the current state of charge of the battery at each time point, and then combine the current state of charge of the battery at the current time point with the cell temperature to accurately determine the current threshold at each time point.

[0081] In an exemplary embodiment, the current threshold for each time point is determined based on the current state of charge and cell temperature at each time point, including: for the current state of charge and cell temperature at each time point, a table is looked up based on the cell temperature and current state of charge at the target time point to obtain the current threshold for the target time point.

[0082] Specifically, the computer device's database can pre-store a table relating battery state of charge, cell temperature, and current threshold. For each point in time, the computer device looks up the table based on the current battery state of charge and cell temperature at that time to obtain the corresponding current threshold.

[0083] In the above embodiments, the computer device can accurately and quickly determine the current threshold corresponding to each time point by looking up a table using the current battery state of charge and cell temperature.

[0084] In an exemplary embodiment, if the relationship between the current and the current threshold at any point in time satisfies a preset current adjustment condition, the current at that point in time is adjusted to obtain an adjusted current, including: if the current at any point in time is greater than or equal to the current threshold, it is determined that the preset current adjustment condition is met; the battery state of charge and current associated with that point in time are obtained, and interpolation calculations are performed based on the associated battery state of charge and current to determine the adjusted current at that point in time.

[0085] Among them, the battery state of charge and current associated with any point in time can be the current and battery state of charge at adjacent points in time.

[0086] Specifically, if the computer device determines that the current at any given time point is greater than or equal to a current threshold, then it determines that the preset current adjustment condition is met. Further, the computer device can obtain the current and battery state of charge (SOC) at adjacent time points and perform interpolation calculations to obtain the adjustment current at that time point. For example, the computer device can obtain the current and battery SOC at the previous time point and compare them with the current current and battery SOC at that time point to obtain the adjustment current. Of course, the computer device can also obtain the current and battery SOC at the next time point and compare them with the current current and battery SOC at that time point to obtain the adjustment current. The computer device can also obtain the current and battery SOC at the next time point separately and perform interpolation calculations to obtain the adjustment current at that time point; this is not limited here.

[0087] In the above embodiments, when the computer device determines that the current at any point in time is greater than or equal to the current threshold, it determines that the preset current adjustment condition is met. Then, the computer device can use linear interpolation to adjust the magnitude of the current to obtain the adjusted current.

[0088] In some embodiments, reference Figure 3 The diagram shown is a flowchart illustrating a vehicle battery data processing method in one embodiment:

[0089] Computer equipment can acquire raw vehicle operating condition data through data platforms or real vehicle data acquisition; computer equipment can perform data cleaning on the real vehicle operating condition data, retain parameters such as current (I), cell voltage (U), and cell temperature (T) in the raw data, and preliminarily extract the required data format according to the time series, that is, obtain the current (I), cell voltage (U), and cell temperature (T) corresponding to each time point. This application processes the data in .mat file format.

[0090] The data cleaning process can be carried out in the following ways:

[0091] Due to the fragmented nature of the collected data, there are a large number of outliers (such as some U and I values ​​exceeding the reasonable range) and invalid values ​​(N / A). It is necessary to perform corresponding data cleaning on these values ​​to finally obtain time series data under a certain working condition.

[0092] The computer equipment can be set to approximate a normal distribution for real-vehicle operating data, and calculate the mean and standard deviation of current (I), cell voltage (U), and cell temperature (T) according to formulas (a) and (b), respectively. Criteria, data falls The probability is 99.7%, therefore it is assumed that... Data outside of these categories is considered an outlier and will be deleted.

[0093] ;

[0094] ;

[0095] In the process of calculating the mean and standard deviation of current (I), cell voltage (U), and cell temperature (T), respectively, These can correspond to current (I), cell voltage (U), and cell temperature (T), respectively, while N can refer to the quantity of each of these parameters. For invalid null values ​​(NA), the computer can fill them with the nearest value from the previous time series.

[0096] Furthermore, the computer equipment can calculate the SOC sequence according to formula (c), and the initial SOC value can be determined according to the experimental requirements:

[0097] ;

[0098] In formula (c), c is a constant. Time difference. After obtaining the SOC at each time point, the computer device can look up the current threshold at each time point according to the SOP_map table, based on the mapping relationship between SOC, T and current threshold, and determine the magnitude relationship between all current thresholds and the corresponding currents in the time series;

[0099] When the current threshold is less than or equal to the current, the computer device can use the one-dimensional linear interpolation formula (d) to update the current, and then iterate and update again based on the updated current to calculate the new battery state of charge.

[0100]

[0101] When the current threshold is greater than the current, the processed operating condition data will be output. At this point, the data preprocessing is complete, and the relevant data can be imported into the test bench for relevant tests.

[0102] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0103] Based on the same inventive concept, this application also provides a vehicle battery data processing apparatus for implementing the aforementioned vehicle battery data processing method. The solution provided by this apparatus is similar to the implementation described in the above method; therefore, the specific limitations of one or more vehicle battery data processing apparatus embodiments provided below can be found in the limitations of the vehicle battery data processing method described above, and will not be repeated here.

[0104] In one exemplary embodiment, such as Figure 4 As shown, a battery data processing device for a vehicle is provided, including: a data acquisition module 402, a filtering module 404, a current threshold determination module 406, and a current adjustment module 408, wherein:

[0105] The data acquisition module 402 is used to acquire real-world vehicle operating condition data.

[0106] The filtering module 404 is used to perform filtering processing based on the actual vehicle operating condition data to obtain battery parameters; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0107] The current threshold determination module 406 is used to determine the current threshold for each time point based on the current and cell temperature at each time point.

[0108] The current adjustment module 408 is used to adjust the current at any time point if the relationship between the current and the current threshold at any time point meets the preset current adjustment conditions, obtain the adjusted current, and return the steps of determining the current threshold at each time point based on the current and cell temperature at each time point after adjustment, until the preset stop condition is reached.

[0109] In some embodiments, the filtering module 404 is further configured to perform data type filtering based on the actual vehicle operating condition data to obtain initial battery parameters; and remove abnormal battery parameters and invalid battery parameters present in the initial battery parameters to obtain battery parameters.

[0110] In some embodiments, the screening module 404 is further configured to calculate the average value of the initial battery parameters; obtain the standard deviation of the initial battery parameters based on the average value; and determine the abnormal battery parameters present in the initial battery parameters according to the initial battery parameters and the standard deviation.

[0111] In some embodiments, the current threshold determination module 406 is further configured to: select a time point from each of the time points as the current time point; calculate the current battery state of charge corresponding to the current time point based on the current time point, the current corresponding to the current time point, and the previous battery state of charge corresponding to the previous time point; update the next time point of the current time point to the new current time point, and return the step of calculating the current battery state of charge corresponding to the current time point based on the current time point, the current corresponding to the current time point, and the previous battery state of charge corresponding to the previous time point, until the current battery state of charge of each time point is calculated; and determine the current threshold for each time point based on the current battery state of charge and the cell temperature.

[0112] In some embodiments, the current threshold determination module 406 is further configured to look up a table based on the current battery state of charge and cell temperature at each time point to obtain the current threshold for the target time point.

[0113] In some embodiments, the current adjustment module 408 is further configured to determine that a preset current adjustment condition is met if the current at any time point is greater than or equal to a current threshold; obtain the battery state of charge and current associated with that time point; and perform interpolation calculation based on the associated battery state of charge and current to determine the adjustment current at that time point.

[0114] The various modules in the battery data processing device of the aforementioned vehicle can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0115] In one exemplary embodiment, a computer device is provided, which may be a terminal or a server, and its internal structure diagram may be as follows: Figure 5 As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a battery data processing method for a vehicle. The display unit is used to form a visually visible image and can be a display screen, projection device, or virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0116] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0117] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0118] Obtain real-world vehicle operating condition data;

[0119] Based on the real vehicle operating condition data, the battery parameters are obtained through filtering and processing; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0120] Based on the current and cell temperature at each time point, determine the current threshold for each time point;

[0121] If the relationship between the current and the current threshold at any given time point satisfies the preset current adjustment condition, then the current at that time point is adjusted to obtain the adjusted current. After adjustment, the process of determining the current threshold at each time point based on the current and cell temperature at each time point is returned until the preset stop condition is met.

[0122] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0123] Obtain real-world vehicle operating condition data;

[0124] Based on the real vehicle operating condition data, the battery parameters are obtained through filtering and processing; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0125] Based on the current and cell temperature at each time point, determine the current threshold for each time point;

[0126] If the relationship between the current and the current threshold at any given time point satisfies the preset current adjustment condition, then the current at that time point is adjusted to obtain the adjusted current. After adjustment, the process of determining the current threshold at each time point based on the current and cell temperature at each time point is returned until the preset stop condition is met.

[0127] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0128] Obtain real-world vehicle operating condition data;

[0129] Based on the real vehicle operating condition data, the battery parameters are obtained through filtering and processing; the battery parameters include the current and cell temperature of the battery at multiple time points.

[0130] Based on the current and cell temperature at each time point, determine the current threshold for each time point;

[0131] If the relationship between the current and the current threshold at any given time point satisfies the preset current adjustment condition, then the current at that time point is adjusted to obtain the adjusted current. After adjustment, the process of determining the current threshold at each time point based on the current and cell temperature at each time point is returned until the preset stop condition is met.

[0132] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0133] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0134] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0135] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for processing battery data of a vehicle, characterized in that, The method includes: Obtain real-world vehicle operating condition data; Based on the real vehicle operating condition data, the battery parameters are obtained through filtering and processing; the battery parameters include the current and cell temperature of the battery at multiple time points. Based on the current and cell temperature at each time point, determine the current threshold for each time point; If the relationship between the current and the current threshold at any point in time satisfies the preset current adjustment condition, then the current at that point in time is adjusted to obtain the adjusted current, and after adjustment, the process of determining the current threshold at each point in time based on the current and cell temperature at each point in time is returned until the preset stop condition is met. The step of determining the current threshold at each time point based on the current and cell temperature at each time point includes: Select one of the aforementioned time points as the current time point; Based on the current time point, the current corresponding to the current time point, and the previous battery state of charge corresponding to the previous time point, the current battery state of charge corresponding to the current time point is calculated. The next time point of the current time is updated to the new current time point, and the step of calculating the current battery state of charge corresponding to the current time point is returned based on the current time point, the current corresponding to the current time point, and the previous battery state of charge corresponding to the previous time point of the current time point, until the current battery state of charge of each time point is calculated. The current threshold for each time point is determined based on the current state of charge and cell temperature at each time point.

2. The method according to claim 1, characterized in that, The process of filtering based on the actual vehicle operating condition data to obtain battery parameters includes: Based on the actual vehicle operating condition data, data types are filtered to obtain initial battery parameters; Remove abnormal and invalid battery parameters from the initial battery parameters to obtain the battery parameters.

3. The method according to claim 2, characterized in that, The method further includes: Calculate the average value of the initial battery parameters; Based on the average value, the standard deviation of the initial battery parameters is obtained; Based on the initial battery parameters and the standard deviation, abnormal battery parameters present in the initial battery parameters are determined.

4. The method according to claim 1, characterized in that, The step of determining the current threshold at each time point based on the current state of charge and cell temperature at each time point includes: For each point in time, the current threshold for the corresponding time point is obtained by looking up a table based on the current battery state of charge and cell temperature.

5. The method according to claim 1, characterized in that, If the relationship between the current and the current threshold at any given time point satisfies a preset current adjustment condition, then the current at that time point is adjusted to obtain an adjusted current, including: If the current at any point in time is greater than or equal to the current threshold, then the preset current adjustment condition is met. Obtain the battery state of charge and current associated with that time point, and perform interpolation calculations based on the associated battery state of charge and current to determine the adjustment current at that time point.

6. A battery data processing device for a vehicle, characterized in that, The device includes: The data acquisition module is used to acquire real-world vehicle operating condition data. The filtering module is used to perform filtering processing based on the actual vehicle operating condition data to obtain battery parameters; the battery parameters include the current and cell temperature of the battery at multiple time points. The current threshold determination module is used to determine the current threshold for each time point based on the current and cell temperature at each time point. The current adjustment module is used to adjust the current at any time point if the relationship between the current and the current threshold at any time point meets the preset current adjustment conditions, obtain the adjusted current, and return the steps of determining the current threshold at each time point based on the current and cell temperature at each time point after adjustment, until the preset stop condition is reached. The current threshold determination module is further used for: Select one of the aforementioned time points as the current time point; Based on the current time point, the current corresponding to the current time point, and the previous battery state of charge corresponding to the previous time point, the current battery state of charge corresponding to the current time point is calculated. The next time point of the current time is updated to the new current time point, and the step of calculating the current battery state of charge corresponding to the current time point is returned based on the current time point, the current corresponding to the current time point, and the previous battery state of charge corresponding to the previous time point of the current time point, until the current battery state of charge of each time point is calculated. The current threshold for each time point is determined based on the current state of charge and cell temperature at each time point.

7. The apparatus according to claim 6, characterized in that, The filtering module is also used for: Based on the actual vehicle operating condition data, data types are filtered to obtain initial battery parameters; Remove abnormal and invalid battery parameters from the initial battery parameters to obtain the battery parameters.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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