Vehicle-mounted battery vulcanization monitoring method, device, equipment and storage medium

Abstract

The application provides a vehicle-mounted battery vulcanization monitoring method, device, equipment and storage medium. The method comprises the following steps: when receiving stop running information of any vehicle, obtaining all running data of a target vehicle corresponding to the stop running information within a preset time from a database, wherein the running data comprises a trip duration, a trip start voltage and a trip end voltage; according to the trip duration, the trip start voltage and the trip end voltage of each running data, screening out abnormal data of different data types from all running data; determining whether the battery of the target vehicle is vulcanized according to the number of the abnormal data of different data types in all running data; and if the battery is vulcanized, sending prompt information to a corresponding user terminal device and / or a technical personnel terminal device. The method of the application solves the problem of increased user use cost caused by inaccurate battery life judgment.

Description

Technical Field

[0001] This application relates to the field of battery technology, and in particular to a method, apparatus, device and storage medium for monitoring the sulfation of vehicle batteries. Background Technology

[0002] During vehicle operation, devices such as air conditioning, central control, and dashcam all require electric power. When a gasoline-powered car is driving normally, the engine provides power to maintain the operation of electrical equipment and charges the battery. When a gasoline-powered car is idling, the engine cannot provide enough power to maintain the operation of electrical equipment, and the battery serves as a supplementary power source.

[0003] Currently, in order to ensure the power supply capacity of batteries, existing technologies typically use the length of time the batteries have been used to estimate their lifespan, so as to remind users to replace the batteries before they become severely sulfated or reach the end of their lifespan.

[0004] However, the inventors have discovered that the existing technology has at least the following technical problems: the battery life estimated by the current usage time is inaccurate and easily underestimates the battery life, resulting in high usage costs for users. Summary of the Invention

[0005] This application provides a method, apparatus, device, and storage medium for monitoring the sulfation of vehicle batteries, in order to solve the problem of high user costs caused by inaccurate estimation of vehicle battery life.

[0006] In a first aspect, this application provides a method for monitoring the sulfation of vehicle batteries, comprising: upon receiving information indicating that any vehicle has stopped operating, retrieving from a database all operating data of the target vehicle corresponding to the stopped operating information within a preset time period, wherein the operating data includes the duration of the trip, the voltage at the start of the trip, and the voltage at the end of the trip; filtering out abnormal data of different data types from all operating data based on the duration of the trip, the voltage at the start of the trip, and the voltage at the end of the trip for each piece of operating data; determining whether the battery of the target vehicle is sulfated based on the number of abnormal data of different data types in all operating data; and if the battery is sulfated, sending a prompt message to the corresponding user terminal device and / or technician terminal device.

[0007] In one possible implementation, based on the stroke duration, stroke start voltage, and stroke end voltage of each running data, abnormal data of different data types are filtered from all running data. This includes: if, among all running data, the stroke duration of any running data is greater than a preset time, the stroke start voltage is greater than or equal to a first preset voltage, and the stroke end voltage is less than a first preset voltage, then the data type of any running data is determined to be first-type abnormal data; if, among all running data, the stroke duration of any running data is greater than a preset time, the stroke start voltage is greater than or equal to a second preset voltage, less than a first preset voltage, and the stroke end voltage is less than or equal to the stroke start voltage, then the data type of any running data is determined to be second-type abnormal data; if, among all running data, the stroke duration of any running data is greater than a preset time, the stroke start voltage is less than a second preset voltage, and the stroke end voltage is less than or equal to the stroke start voltage, then the data type of any running data is determined to be third-type abnormal data.

[0008] In one possible implementation, the determination of whether the target vehicle's battery is sulfated is based on the number of abnormal data of different data types in all operational data, including: if the number of third-type abnormal data is greater than or equal to 1, then the battery is determined to be sulfated; if the number of third-type abnormal data is 0, then the determination of whether the battery is sulfated is based on the number of first-type abnormal data and the number of second-type abnormal data.

[0009] In one possible implementation, determining whether the battery is sulfated based on the number of first-type abnormal data and the number of second-type abnormal data includes: multiplying the number of first-type abnormal data by a first preset value to obtain a first sulfation evaluation value; multiplying the number of second-type abnormal data by a second preset value to obtain a second sulfation evaluation value; adding the first sulfation evaluation value and the second sulfation evaluation value to obtain a total sulfation evaluation value; if the total sulfation evaluation value is greater than or equal to a preset sulfation standard value, then the battery is determined to be sulfated; otherwise, the battery is determined not to be sulfated.

[0010] In one possible implementation, determining whether the battery is sulfated based on the number of first-type abnormal data and the number of second-type abnormal data includes: inputting the number of first-type abnormal data and the number of second-type abnormal data from all operating data into a pre-acquired sulfation judgment model to obtain the result of whether the battery is sulfated.

[0011] In one possible implementation, before retrieving all operational data of the target vehicle corresponding to the stop operation information within a preset time period from the database upon receiving stop operation information from any vehicle, the method further includes: receiving pending operational data sent by the vehicle terminal, wherein the pending operational data includes trip start time, trip end time, vehicle identifier, pending trip start voltage, and pending trip end voltage; subtracting the trip start time from the trip end time to obtain the pending trip duration; determining the corresponding vehicle model based on the vehicle identifier; obtaining the corresponding preset conversion relationship based on the vehicle model; converting the pending trip duration, pending trip start voltage, and pending trip end voltage using the preset conversion relationship to obtain the trip duration, trip start voltage, and trip end voltage; and storing the trip duration, trip start voltage, and trip end voltage in the database.

[0012] Secondly, this application provides an on-board battery sulfation monitoring device, comprising: an acquisition module, configured to acquire, upon receiving stop-operation information of any vehicle, all operating data of the target vehicle corresponding to the stop-operation information within a preset time period from a database, wherein the operating data includes trip duration, trip start voltage, and trip end voltage; a filtering module, configured to filter out abnormal data of different data types from all operating data based on the trip duration, trip start voltage, and trip end voltage of each operating data; a determination module, configured to determine whether the battery of the target vehicle is sulfated based on the number of abnormal data of different data types in all operating data; and a sending module, configured to send a prompt message to the corresponding user terminal device and / or technician terminal device if the battery is sulfated.

[0013] Thirdly, this application provides an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, causing the processor to perform the vehicle battery sulfation monitoring method as described in the first aspect above.

[0014] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the vehicle battery sulfation monitoring method described in the first aspect above.

[0015] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the on-board battery sulfation monitoring method as described in the first aspect above.

[0016] The vehicle battery sulfation monitoring method, apparatus, device, and storage medium provided in this application acquire all operating data of the corresponding target vehicle within a preset time period from the database when any vehicle stops operating. Based on the trip duration, trip start voltage, and trip end voltage included in each piece of operating data, abnormal data of different data types are filtered out from all operating data. The presence of abnormal data of different types is determined based on the quantity of these abnormal data. If battery sulfation is detected, a prompt message is sent to the user's or technician's terminal device. This method determines battery sulfation based on the quantity of various abnormal data, increasing the accuracy of sulfation assessment and reducing user costs. Furthermore, the use of trip duration as a filtering condition avoids misclassifying normal data as abnormal, further increasing the accuracy of sulfation assessment. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] Figure 1 This is a schematic diagram illustrating the application scenario of the vehicle battery sulfation monitoring method provided in the embodiments of this application;

[0019] Figure 2 A flowchart illustrating the on-board battery sulfation monitoring method provided in this application embodiment. Figure 1 ;

[0020] Figure 3 A flowchart illustrating the on-board battery sulfation monitoring method provided in this application embodiment. Figure 2 ;

[0021] Figure 4 This is a schematic diagram of the structure of the vehicle battery sulfation monitoring device provided in the embodiments of this application;

[0022] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0023] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0024] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0025] First, let me explain the terms used in this application:

[0026] Sulfation: Battery sulfation is the phenomenon where a layer of hard white crystals adheres to the surface of the negative electrode plate inside the battery, and cannot be removed after charging. This crystals are converted into lead sulfate, an active material, on the surface of the negative electrode plate.

[0027] Current gasoline-powered vehicles also require electricity for auxiliary control, cooling, and other purposes during operation. This electricity is primarily generated by the vehicle's engine. When the car is running at high speed, the engine generates enough electricity to power the vehicle's electrical equipment. At this time, the engine stores a portion of the electricity in the battery to maintain power supply when the engine is off or idling. Batteries have a limited lifespan, and when the battery reaches its limit, it needs to be replaced to ensure vehicle performance.

[0028] Currently, battery life is primarily determined by the amount of time the battery has been used, which is then used to calculate the remaining battery life based on the estimated total lifespan. However, this method can easily lead to an underestimation of the remaining lifespan, causing users to replace the battery prematurely and increasing their operating costs.

[0029] To solve the above-mentioned technical problems, the inventors proposed the following technical concept: by acquiring the vehicle's operating data within a preset time period while the vehicle is stopped, and filtering out different types of abnormal data from all operating data based on the trip duration, trip start voltage, and trip end voltage in the operating data, and determining whether the vehicle's battery is sulfated based on the number of different types of abnormal data, if the battery is sulfated, a prompt message is sent to the user or technician.

[0030] This application is applied to the scenario of monitoring the sulfation of vehicle batteries. The acquisition, storage, and application of information involved in the technical solution of this application all comply with relevant laws and regulations and do not violate public order and good morals.

[0031] Figure 1 This is a schematic diagram illustrating an application scenario for the vehicle battery sulfation monitoring method provided in this application embodiment. For example... Figure 1 The scenario includes: server 101, vehicle 102, database 103, and terminal device 104.

[0032] In the specific implementation process, server 101 can be implemented using a cluster of one or more servers with more powerful processing capabilities and higher security. Where possible, it can also be replaced by computers, laptops, etc. with strong computing power.

[0033] Vehicle 102 can be any type of automobile.

[0034] Database 103 may include a single database or a combination of multiple databases. For example, it may include one or more databases such as Oracle, MySQL (Relational Database Management System), DRDS (Distributed Relational Database Service), and ES (Elasticsearch), etc. This application does not impose any special restrictions on this. It may also include HDFS (Hadoop Distributed File System).

[0035] Terminal device 104 may include computers, servers, tablets, mobile phones, PDAs (Personal Digital Assistants), and laptops, etc. It can be the terminal device of the user or technician corresponding to the target vehicle.

[0036] The connection between the aforementioned server 101, vehicle 102, database 103, and terminal device 104 can be either wired or wireless. The wireless network used for the connection can include various types of wired and wireless networks, such as, but not limited to: the Internet, local area network (LAN), Wireless Fidelity (Wi-Fi), Wireless Local Area Networks (WLAN), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), 2G / 3G / 4G / 5G cellular networks, satellite communication networks, etc. Kafka can be used for data transmission.

[0037] Vehicle 102 is used to upload running data to server 101 or database 103 during operation or at the end of operation, or to upload running data to be processed to server 101 so that server 101 can filter and transform the data to be processed and then store it in database 103.

[0038] Server 101 is used to receive stop operation information sent by vehicle 102, and retrieve the vehicle's operation data within a preset time from database 103 based on the stop operation information. Based on the trip duration, trip start voltage and trip end voltage in the operation data, it filters out abnormal data of different data types in all operation data, and obtains the result of whether the vehicle's battery is sulfated based on the abnormal data of different data types. When the battery is sulfated, it sends a prompt message to the user's or technician's terminal device 104.

[0039] It is understood that the structure illustrated in the embodiments of this application does not constitute a specific limitation on the method for monitoring the sulfation of vehicle batteries. In other feasible embodiments of this application, the above architecture may include more or fewer components than illustrated, or combine some components, or split some components, or arrange different components, which can be determined according to the actual application scenario and is not limited here. Figure 1 The application scenarios shown can be implemented by hardware, software, or a combination of software and hardware.

[0040] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0041] Figure 2 A flowchart illustrating the on-board battery sulfation monitoring method provided in this application embodiment. Figure 1 The execution entity of this application embodiment can be Figure 1 The server 101 in this embodiment can also be a computer and / or a mobile phone, etc., and this embodiment does not impose any special restrictions on it. Figure 2 As shown, the method includes:

[0042] S201: When receiving a stop operation information for any vehicle, retrieve all operation data of the target vehicle corresponding to the stop operation information within a preset time period from the database. The operation data includes the trip duration, trip start voltage, and trip end voltage.

[0043] In this step, the stop operation information can be sent by the vehicle when the engine is turned off or when the vehicle's power is cut off. The stop operation information may include a vehicle identifier. Retrieving all operational data of the target vehicle corresponding to the stop operation information within a preset time period from the database can be done by retrieving all operational data of the corresponding target vehicle within a preset time period based on the vehicle identifier in the stop operation information.

[0044] The preset time period can be 3 months, 4 months, half a year, etc., and this application does not impose specific restrictions on it.

[0045] S202: Based on the stroke duration, stroke start voltage, and stroke end voltage of each running data, filter out abnormal data of different data types from all running data.

[0046] In this step, the stroke duration can be the time from engine ignition to engine shutdown, the stroke start voltage can be the battery voltage when the engine is ignited, and the stroke end voltage can be the battery voltage when the engine is shut off.

[0047] In one possible implementation, this step involves filtering out abnormal data of different data types from all running data based on the stroke duration, stroke start voltage, and stroke end voltage of each running data entry. Specifically, this includes:

[0048] S202A: If, among all the running data, the duration of any running data exceeds a preset time, and the starting voltage of the running data is greater than or equal to a first preset voltage, and the ending voltage of the running data is less than a first preset voltage, then the data type of any running data is determined to be the first type of abnormal data.

[0049] In this step, the duration of the stroke is, for example, 1800 seconds, 1900 seconds, 3600 seconds, 40 minutes, etc. The first preset voltage is, for example, 12V, 12.5V, 12.8V, etc.

[0050] S202B: If, among all the running data, the duration of any running data exceeds a preset time, and the starting voltage of the running data is greater than or equal to the second preset voltage but less than the first preset voltage, and the ending voltage of the running data is less than or equal to the starting voltage of the running data, then the data type of any running data is determined to be the second type of abnormal data.

[0051] In this step, the second preset voltage is less than the first preset voltage.

[0052] For example, the second preset voltage can be 10.5V, 10.8V, 11V, etc.

[0053] S202C: If, among all the running data, the duration of any running data exceeds the preset time, the start voltage of the running data is less than the second preset voltage, and the end voltage of the running data is less than or equal to the start voltage of the running data, then the data type of any running data will be determined as the third type of abnormal data.

[0054] In this step, for example, if a running data entry has a stroke duration of 3000 seconds, which is greater than the aforementioned preset time of 1400 seconds, and the stroke start voltage is 9V, which is less than the second preset voltage of 10.8V, and the stroke end voltage is 8V, which is less than the stroke start voltage of 9V, then this running data entry is considered abnormal data, specifically a third type of abnormal data. The steps in S202A and S202B are similar to this step, but the preset voltage and / or preset time can be replaced.

[0055] S203: Determine whether the target vehicle's battery is sulfated based on the number of abnormal data of different data types in all operating data.

[0056] In this step, it can be determined whether the battery of the target vehicle is sulfated by referring to a table of the number of abnormal data of different data types calibrated in advance through experiments and whether it is sulfated.

[0057] Table 1 shows a comparison table of the number of abnormal data of different data types and whether or not sulfurization has occurred. This application does not limit the specific values ​​or types of abnormal data in this comparison table.

[0058] Table 1. Comparison of the number of abnormal data of different data types with whether or not sulfurization has occurred (illustrated)

[0059]

[0060] S204: If the battery is sulfated, a notification message will be sent to the corresponding user terminal equipment and / or technician terminal equipment.

[0061] In this step, you can either locate the terminal device corresponding to the stop-operation information and send a prompt message to that device, or locate the terminal device corresponding to the vehicle identifier in the stop-operation information and send a prompt message to that device. The prompt message can include information suggesting that the battery should be replaced.

[0062] As described in the above embodiments, this application embodiment, upon receiving information indicating that any vehicle has stopped operating, acquires all operating data of the corresponding target vehicle within a preset time period from the database. Based on the trip duration, trip start voltage, and trip end voltage included in each piece of operating data, it filters out abnormal data of different data types from all operating data. Based on the quantity of abnormal data of different types in all operating data, it determines whether the battery is sulfated. If the battery is sulfated, it sends a prompt message to the user's or technician's terminal device. This achieves the goal of determining whether the battery is sulfated based on the quantity of various types of abnormal data, increasing the accuracy of determining whether the battery is sulfated, thereby reducing the user's operating costs. Furthermore, since the trip duration is used as a filtering condition when filtering abnormal data, it avoids misjudging normal data as abnormal data, further increasing the accuracy of determining whether the battery is sulfated.

[0063] In one possible implementation, step S201 above, obtaining all the running data of the target vehicle corresponding to the stop running information within a preset time from the database, may also include: obtaining the ratio of the total number of running data entries of the target vehicle to the total running time based on the stop running information, determining the corresponding preset time based on the size of the ratio, and obtaining all the running data within the preset time.

[0064] For example, if the total number of vehicle operation data entries is 300 and the total operation time is 30 months, then the ratio is 10. When the ratio is greater than or equal to 10 and less than 20, 2 months are taken as the preset time. When the ratio is greater than or equal to 20, 1 month is taken as the preset time. When the ratio is less than 10, 1 month is taken as the preset time. All operation data within the preset time period are obtained.

[0065] As can be seen from the description of the above embodiments, the embodiments of this application determine the corresponding preset time based on the ratio of the total number of target vehicle operation data to the total operation time, and obtain all operation data within the preset time, thereby achieving the effect of making the preset time more matched with the vehicle driving frequency and increasing the accuracy of subsequent analysis of whether the battery is sulfated.

[0066] In one possible implementation, when the abnormal data types only include the first type of abnormal data, the second type of abnormal data, and the third type of abnormal data, step S203 above, determining whether the target vehicle's battery is sulfated based on the number of abnormal data of different data types in all operating data, includes:

[0067] S203A: If the number of third-type abnormal data is greater than or equal to 1, then battery sulfation is determined.

[0068] For example, if the number of third-type abnormal data is 1, then battery sulfation is determined; if the number of third-type abnormal data is 3, then battery sulfation is determined.

[0069] S203B: If the number of third-type abnormal data is 0, then determine whether the battery is sulfated based on the number of first-type abnormal data and the number of second-type abnormal data.

[0070] In this step, the determination of whether the battery is sulfated is based on the number of first-type abnormal data and the number of second-type abnormal data. This can be determined by referring to a table showing the number of first-type abnormal data and the number of second-type abnormal data and whether the battery is sulfated. For example, Table 2 shows the table showing the number of first-type abnormal data and the number of second-type abnormal data and whether the battery is sulfated. This application does not limit the specific number of abnormal data in Table 2.

[0071] As described in the above embodiments, this application's embodiments distinguish whether the third type of abnormal data is greater than 0. If it is greater than 0, battery sulfation is determined. If the third type of abnormal data is 0, battery sulfation is determined based on the quantity of the first and second types of abnormal data. Because the third type of abnormal data, indicating poor battery performance, is considered separately, battery sulfation can be directly determined when the battery is depleted or severely aged, reducing the number of judgment steps. It also considers the possibility of multiple occurrences of the first and second types of abnormal data, thus avoiding missed detections of battery sulfation.

[0072] Table 2. Comparison of Category I and Category II Abnormal Data with Vulcanization Status (Illustrative)

[0073] Number of Category I Abnormal Data The number of second-type abnormal data Is it vulcanized? 0 0 no 1 1 no 2 2 yes …… …… …… 5 3 yes

[0074] In one possible implementation, battery sulfation is still determined even when the abnormal data types include, but are not limited to, the first type of abnormal data, the second type of abnormal data, and the third type of abnormal data has a quantity of 1.

[0075] When the abnormal data types include, but are not limited to, the first type of abnormal data, the second type of abnormal data, and the third type of abnormal data, and the number of the third type of abnormal data is 0, the battery sulfation can be determined based on the number of each type of abnormal data other than the third type of abnormal data. The determination method can be similar to the above step S203B, or the number of any type of abnormal data other than the third type of abnormal data can be multiplied by the preset weight corresponding to this type of abnormal data to obtain the sulfation evaluation value corresponding to this type of abnormal data. The sulfation evaluation values ​​corresponding to each type of abnormal data are added together to obtain the total sulfation evaluation value. If the total sulfation evaluation value is greater than or equal to the preset threshold, the battery is judged to be sulfated; otherwise, the battery is judged not to be sulfated.

[0076] In one possible implementation, step S203B above, determining whether the battery is sulfated based on the number of first-type abnormal data and the number of second-type abnormal data, includes:

[0077] S203B1: Multiply the number of the first type of abnormal data by the first preset value to obtain the first sulfurization evaluation value.

[0078] In this step, the first preset value can be an integer or a decimal.

[0079] The first preset value is, for example, 20, 22, 18, 18.5, etc.

[0080] S203B2: Multiply the number of second-type abnormal data by the second preset value to obtain the second sulfurization evaluation value.

[0081] In this step, the second preset value can be greater than the first preset value mentioned above.

[0082] The second preset value is, for example, 30, 32, 28, 27.8, etc.

[0083] S203B3: Add the first sulfidation evaluation value and the second sulfidation evaluation value to obtain the total sulfidation evaluation value; if the total sulfidation evaluation value is greater than or equal to the preset sulfidation standard value, the battery is determined to be sulfided; otherwise, the battery is determined to be unsulfided.

[0084] In this step, for example, the first preset value is 20, the second preset value is 30; the first sulfation evaluation value is 2×20=40, the second sulfation evaluation value is 1×30=30, then the total sulfation evaluation value is 40+30=70. If the preset sulfation standard value is 40, then the battery is determined to be unsulfated; if the first sulfation evaluation value is 3×20=60, the second sulfation evaluation value is 2×30=60, then the total sulfation evaluation value is 60+60=120, the preset sulfation standard value is 40, then the current battery is determined to be sulfated; if the first sulfation evaluation value is 1×20=20, the second sulfation evaluation value is 2×30=60, then the total sulfation evaluation value is 20+60=40, the preset sulfation standard value is 40, then the current battery is determined to be sulfated.

[0085] As can be seen from the description of the above embodiments, the embodiments of this application obtain their respective evaluation values ​​by multiplying the number of the first type of abnormal data and the number of the second type of abnormal data by their corresponding preset values, and then summing the evaluation values ​​to obtain the total sulfation evaluation value. The total sulfation evaluation value is compared with the preset sulfation standard value to determine whether the battery is sulfated, which can achieve a more accurate judgment on whether the battery is sulfated.

[0086] In one possible implementation, in step S203 above, determining whether the battery is sulfated based on the number of first-type abnormal data and the number of second-type abnormal data includes:

[0087] S203C: Input the number of first-type abnormal data and the number of second-type abnormal data in all operating data into the pre-acquired sulfation judgment model to obtain the result of whether the battery is sulfated.

[0088] In this step, the pre-acquired sulfation judgment model can be obtained by training multiple sets of pre-acquired training data. The training data includes the number of first-type and second-type anomalies, as well as the corresponding accurate results of whether the battery is sulfated. Specifically, the number of first-type and second-type anomalies in the training data is used as the model input, and the battery sulfation result is used as the output. The output value is compared with the accurate battery sulfation result, and the model is adjusted until the error between the output value and the accurate battery sulfation result is less than a preset error, thus obtaining the aforementioned pre-acquired sulfation judgment model.

[0089] The result of whether the battery is sulfated can be represented by 0 or 1. For example, 0 means unsulfated and 1 means sulfated.

[0090] As can be seen from the description of the above embodiments, the embodiments of this application input the number of first-type abnormal data and the number of second-type abnormal data in all operating data into the sulfation judgment model to obtain the result of whether the battery is sulfated, thereby realizing the analysis of whether the battery is sulfated through the model and achieving the effect of more accurately determining whether the battery is sulfated.

[0091] Figure 3 A flowchart illustrating the on-board battery sulfation monitoring method provided in this application embodiment. Figure 2 .like Figure 3 As shown, before retrieving all operating data of the target vehicle corresponding to the stop-run information within a preset time from the database when receiving stop-run information for any vehicle in step S201 above, the method further includes:

[0092] S301: Receives pending operation data sent by the vehicle, including trip start time, trip end time, vehicle identification, pending trip start voltage, and pending trip end voltage.

[0093] In this step, the running data to be processed can be sent by the car after it stops or sent in real time, and can be a string composed of one or more of numbers, letters, and symbols.

[0094] S302: Subtract the start time of the trip from the end time of the trip to obtain the duration of the trip to be processed.

[0095] In this step, if the trip ends at, for example, 14:20 and the trip starts at, for example, 12:10, then the trip duration to be processed is 2 hours and 10 minutes; or if the trip ends at, for example, 7:40 and the trip starts at, for example, 7:02, then the trip duration to be processed is 38 minutes.

[0096] S303: Determine the corresponding vehicle model based on the vehicle identification.

[0097] In this step, the corresponding vehicle model can be obtained by comparing a string in a specific position of the vehicle identifier with a string corresponding to a preset vehicle model.

[0098] For example, if the first three digits of the vehicle identifier are 001, then look up the vehicle identifier corresponding to 001; if the first five digits of the vehicle identifier are A1ZCF, then look up the vehicle identifier corresponding to A1ZCF; the number of digits can be preset.

[0099] S304: Obtain the corresponding preset conversion relationship based on the vehicle model.

[0100] In this step, the preset conversion relationship can be a preset production rule, a preset mapping relationship, or a preset algebraic relationship. There can be multiple preset conversion relationships, such as conversion relationships corresponding to stroke duration, conversion relationships corresponding to stroke start voltage, conversion relationships corresponding to stroke end voltage, etc.

[0101] S305: Using a preset conversion relationship, the duration of the stroke to be processed, the start voltage of the stroke to be processed, and the end voltage of the stroke to be processed are converted to obtain the stroke duration, the start voltage of the stroke, and the end voltage of the stroke.

[0102] In this step, for example, the process duration can be obtained by dividing the process duration by 2 using a preset transformation relationship; the process start voltage can be obtained by dividing the process start voltage by 3, etc. Alternatively, the data to be processed (process duration, process start voltage, and process end voltage) can be input into the corresponding production rule to obtain the corresponding processed data (process duration, process start voltage, and process end voltage). This step can also involve using Spark to clean the data and then performing data format or size conversion.

[0103] S306: Store the stroke duration, stroke start voltage, and stroke end voltage into the database.

[0104] In this step, the stroke duration, stroke start voltage, and stroke end voltage can be sent to the database for storage.

[0105] As described in the above embodiments, this application embodiment, after receiving the pending operation data sent by the vehicle terminal, obtains the pending trip duration by subtracting the trip start time from the trip end time, and queries the corresponding vehicle model based on the vehicle identifier. From the vehicle model, a corresponding preset conversion relationship is obtained. Using the preset conversion relationship, the pending trip duration, pending trip start voltage, and pending trip end voltage are converted, ultimately obtaining converted data including the trip duration, trip start voltage, and trip end voltage. The trip duration, trip start voltage, and trip end voltage are stored in a database, achieving data format standardization. This facilitates subsequent determination of whether abnormal data exists and the data type of abnormal data based on the converted data.

[0106] Figure 4 This is a schematic diagram of the structure of the vehicle battery sulfation monitoring device provided in an embodiment of this application. Figure 4 As shown, the vehicle battery sulfation monitoring device 400 includes: an acquisition module 401, a screening module 402, a determination module 403, and a transmission module 404.

[0107] The acquisition module 401 is used to retrieve all operating data of the target vehicle corresponding to the stop information within a preset time from the database when it receives the stop information of any vehicle. The operating data includes the trip duration, trip start voltage and trip end voltage.

[0108] The filtering module 402 is used to filter out abnormal data of different data types from all running data based on the stroke duration, stroke start voltage and stroke end voltage of each running data.

[0109] The determination module 403 is used to determine whether the battery of the target vehicle is sulfated based on the number of abnormal data of different data types in all operating data.

[0110] The sending module 404 is used to send a prompt message to the corresponding user terminal equipment and / or technician terminal equipment if the battery is sulfated.

[0111] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0112] In one possible implementation, the filtering module 402 is specifically used to: if, among all running data, the duration of any running data is greater than a preset time, and the starting voltage of the running data is greater than or equal to a first preset voltage, and the ending voltage of the running data is less than the first preset voltage, then the data type of any running data is determined to be first-type abnormal data; if, among all running data, the duration of any running data is greater than a preset time, and the starting voltage of the running data is greater than or equal to a second preset voltage, less than the first preset voltage, and the ending voltage of the running data is less than or equal to the starting voltage of the running data, then the data type of any running data is determined to be second-type abnormal data; if, among all running data, the duration of any running data is greater than a preset time, and the starting voltage of the running data is less than the second preset voltage, and the ending voltage of the running data is less than or equal to the starting voltage of the running data, then the data type of any running data is determined to be third-type abnormal data.

[0113] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0114] In one possible implementation, the screening module 402 is specifically used to: determine battery sulfation if the number of third-type abnormal data is greater than or equal to 1; and determine whether the battery is sulfated based on the number of first-type and second-type abnormal data if the number of third-type abnormal data is 0.

[0115] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0116] In one possible implementation, the determining module 403 is specifically used to: multiply the number of first-type abnormal data by a first preset value to obtain a first sulfidation evaluation value; multiply the number of second-type abnormal data by a second preset value to obtain a second sulfidation evaluation value; add the first sulfidation evaluation value and the second sulfidation evaluation value to obtain a total sulfidation evaluation value; if the total sulfidation evaluation value is greater than or equal to a preset sulfidation standard value, then the battery is determined to be sulfated; otherwise, the battery is determined to be unsulfated.

[0117] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0118] In one possible implementation, the aforementioned determining module 403 is specifically used to: input the number of first-type abnormal data and the number of second-type abnormal data in all the running data into the pre-acquired sulfation judgment model to obtain the result of whether the battery is sulfated.

[0119] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0120] In one possible implementation, the on-board battery sulfation monitoring device 400 further includes a conversion module 405.

[0121] The conversion module 405 receives pending operation data sent from the vehicle, including trip start time, trip end time, vehicle identification, pending trip start voltage, and pending trip end voltage. The trip duration is obtained by subtracting the trip start time from the trip end time. The vehicle model is determined based on the vehicle identification. A preset conversion relationship is obtained based on the vehicle model. The pending trip duration, pending trip start voltage, and pending trip end voltage are converted using the preset conversion relationship to obtain the trip duration, trip start voltage, and trip end voltage. The trip duration, trip start voltage, and trip end voltage are then stored in a database.

[0122] The apparatus provided in this embodiment can be used to execute the technical solutions of the above method embodiments. Its implementation principle and technical effects are similar, and will not be described again here.

[0123] To implement the above embodiments, this application also provides an electronic device.

[0124] refer to Figure 5 The diagram illustrates a structural schematic of an electronic device 500 suitable for implementing embodiments of this application. The electronic device 500 can be a terminal device or a server. The terminal device can include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, personal digital assistants (PDAs), portable Android devices (PADs), portable media players (PMPs), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 5 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0125] like Figure 5As shown, the electronic device 500 may include a processor (e.g., a central processing unit, a graphics processing unit, etc.) 501 and a memory 502 communicatively connected to the processor. It can perform various appropriate actions and processes based on programs stored in the memory 502, computer-executed instructions, or programs loaded from storage device 508 into random access memory (RAM) 503. The memory 502 may be a read-only memory (ROM) to implement the vehicle battery sulfation monitoring method described in any of the above embodiments. The RAM 503 also stores various programs and data required for the operation of the electronic device 500. The processor 501, memory 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0126] Typically, the following devices can be connected to I / O interface 505: input devices 506 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 507 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 508 including, for example, magnetic tapes, hard disks, etc.; and communication devices 509. Communication device 509 allows electronic device 500 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 5 An electronic device 500 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0127] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable storage medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 509, or installed from a storage device 508, or installed from a memory 502. When the computer program is executed by the processor 501, it performs the functions defined in the methods of the embodiments of this application.

[0128] It should be noted that the computer-readable storage medium described above in this application can be a computer-readable signal medium or a computer storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable storage medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable storage medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0129] The aforementioned computer-readable storage medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0130] The aforementioned computer-readable storage medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform the method shown in the above embodiments.

[0131] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0132] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0133] The modules described in the embodiments of this application can be implemented in software or hardware. The name of a unit does not necessarily limit the module itself; for example, a determining module can also be described as a "module for determining whether a battery is sulfated".

[0134] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0135] In the context of this application, a computer-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0136] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

[0137] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions or computer-executable instructions. The aforementioned program or computer-executable instructions can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0138] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0139] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0140] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for monitoring sulfation of vehicle batteries, characterized in that, include: When a vehicle stops operating information is received, all operating data of the target vehicle corresponding to the stop operating information within a preset time period are obtained from the database. The operating data includes the trip duration, trip start voltage, and trip end voltage. If, among all the running data, the duration of any running data is greater than a preset time, and the starting voltage of the running data is greater than or equal to a first preset voltage, and the ending voltage of the running data is less than the first preset voltage, then the data type of any running data is determined to be first type of abnormal data; if, among all the running data, the duration of any running data is greater than the preset time, and the starting voltage of the running data is greater than or equal to a second preset voltage and less than the first preset voltage, and the ending voltage of the running data is less than or equal to the starting voltage of the running data, then the data type of any running data is determined to be second type of abnormal data; if, among all the running data, the duration of any running data is greater than the preset time, and the starting voltage of the running data is less than the second preset voltage, and the ending voltage of the running data is less than or equal to the starting voltage of the running data, then the data type of any running data is determined to be third type of abnormal data. If the number of the third type of abnormal data is greater than or equal to 1, then battery sulfation is determined. If the number of the third type of abnormal data is 0, then the number of the first type of abnormal data is multiplied by a first preset value to obtain a first sulfation evaluation value; the number of the second type of abnormal data is multiplied by a second preset value to obtain a second sulfation evaluation value; the first sulfation evaluation value and the second sulfation evaluation value are added together to obtain a total sulfation evaluation value; if the total sulfation evaluation value is greater than or equal to a preset sulfation standard value, then the battery is determined to be sulfated, otherwise the battery is determined not to be sulfated; or, if the number of the third type of abnormal data is 0, then the number of the first type of abnormal data and the number of the second type of abnormal data in all the operating data are input into the pre-acquired sulfation judgment model to obtain the result of whether the battery is sulfated; If the battery becomes sulfurized, a notification message will be sent to the corresponding user terminal equipment and / or technician terminal equipment.

2. The method according to claim 1, characterized in that, Before retrieving all operational data of the target vehicle corresponding to the stop-run information within a preset time period from the database upon receiving stop-run information from any vehicle, the method further includes: Receive pending operation data sent by the vehicle, including trip start time, trip end time, vehicle identification, pending trip start voltage, and pending trip end voltage; The duration of the pending trip is obtained by subtracting the start time of the trip from the end time of the trip. Based on the vehicle identification, determine the corresponding vehicle model; Based on the vehicle model, obtain the corresponding preset conversion relationship; Using the preset conversion relationship, the duration of the stroke to be processed, the start voltage of the stroke to be processed, and the end voltage of the stroke to be processed are converted to obtain the stroke duration, the start voltage of the stroke, and the end voltage of the stroke; The duration of the stroke, the start voltage of the stroke, and the end voltage of the stroke are stored in the database.

3. A vehicle-mounted battery sulfation monitoring device, characterized in that, include: The acquisition module is used to acquire all operating data of the target vehicle corresponding to the stop operating information within a preset time period from the database when the stop operating information of any vehicle is received. The operating data includes the trip duration, trip start voltage and trip end voltage. The filtering module is configured to: if, among all the running data, the duration of any running data is greater than a preset time, the start voltage of the running data is greater than or equal to a first preset voltage, and the end voltage of the running data is less than the first preset voltage, then determine the data type of any running data as a first type of abnormal data; if, among all the running data, the duration of any running data is greater than the preset time, the start voltage of the running data is greater than or equal to a second preset voltage and less than the first preset voltage, and the end voltage of the running data is less than or equal to the start voltage of the running data, then determine the data type of any running data as a second type of abnormal data; if, among all the running data, the duration of any running data is greater than the preset time, the start voltage of the running data is less than the second preset voltage, and the end voltage of the running data is less than or equal to the start voltage of the running data, then determine the data type of any running data as a third type of abnormal data. The determination module is configured to: determine battery sulfation if the number of the third type of abnormal data is greater than or equal to 1; if the number of the third type of abnormal data is 0, multiply the number of the first type of abnormal data by a first preset value to obtain a first sulfation evaluation value; multiply the number of the second type of abnormal data by a second preset value to obtain a second sulfation evaluation value; add the first sulfation evaluation value and the second sulfation evaluation value to obtain a total sulfation evaluation value; if the total sulfation evaluation value is greater than or equal to a preset sulfation standard value, determine battery sulfation; otherwise, determine battery non-sulfation; or, if the number of the third type of abnormal data is 0, input the number of the first type of abnormal data and the number of the second type of abnormal data from all operating data into a pre-acquired sulfation judgment model to obtain the result of whether the battery is sulfated. The sending module is used to send a notification message to the corresponding user terminal equipment and / or technician terminal equipment if the battery is sulfated.

4. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the vehicle battery sulfation monitoring method as described in claim 1 or 2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the vehicle battery sulfation monitoring method as described in claim 1 or 2.

6. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the on-board battery sulfation monitoring method as described in claim 1 or 2.

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