Battery service life limit prediction method, device, equipment and storage medium

Abstract

The present application relates to a method, device, equipment and storage medium for predicting the service life limit of a battery, and relates to the field of vehicle-mounted battery technology, including obtaining the actual static voltage value of the vehicle-mounted battery, judging whether the actual static voltage value is less than a preset voltage threshold; if so, obtaining the actual starting current value of the starter, judging whether the actual starting current value is less than a preset current threshold; if so, determining the SOC percentile value based on the percentile characteristic relationship between the static voltage value, the starting current value and the state of charge, the actual static voltage value and the actual starting current value; judging whether the SOC percentile value is less than a preset percentile threshold; if so, obtaining the generator charging current, judging whether the generator charging current is less than a preset charging current threshold; if so, predicting that the vehicle-mounted battery is at the service life limit stage. The present application can accurately predict whether the vehicle-mounted battery has reached its service life limit, and effectively reduce the replacement cost of the vehicle-mounted battery.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle-mounted batteries, and in particular to a method, device, equipment and storage medium for predicting the service life limit of a battery. Background Art

[0002] The on-board battery is a device that provides 12V power to motor vehicles. It is the only energy source for the normal start of fuel-powered vehicles and is generally a lead-acid battery. Among them, the service life of the on-board battery is limited, and its safe use is particularly important for whether the vehicle can drive normally and safely, so the on-board battery needs to be replaced in time. At present, there are three main ways to replace the on-board battery: the first is a fixed replacement cycle, such as replacing the on-board battery every 3 years; the second is to use instruments for regular testing, and determine the service life and replacement date based on the test data; the third is when the service life of the on-board battery ends suddenly, so that the vehicle cannot be started, at this time, an external emergency power supply is required to start or call a tow truck for rescue, and the on-board battery is replaced immediately.

[0003] In the first case mentioned above, the vehicle battery is always replaced before the service life limit. Although the vehicle will not fail to start, there are often certain resources available in the vehicle battery before replacement, that is, the resources are not used to the maximum extent, resulting in a waste of vehicle battery resources and not environmentally friendly, and also increasing the maintenance and use costs of the vehicle in disguise; the second case requires regular battery testing using testing instruments, which increases the testing workload and testing costs; the third case is often easy to delay the time of motor vehicle users, and also has to bear the relevant emergency or rescue costs, and there is also a high cost problem. Therefore, if the service life limit of the vehicle battery can be accurately predicted without using a testing instrument before the service life of the vehicle battery reaches its limit, then the vehicle battery can be replaced when the service life of the vehicle battery reaches its limit, thereby effectively reducing the replacement cost and time cost of the vehicle battery.

[0004] However, due to the influence of vehicle operating conditions, time, temperature and other comprehensive factors, the service life of vehicle batteries is difficult to measure accurately, and therefore the service life limit of vehicle batteries is even more difficult to predict. It can be seen that without using testing instruments to test the vehicle batteries, how to accurately predict whether the vehicle batteries have reached their service life limit is an issue that needs to be solved urgently. Summary of the invention

[0005] The present application provides a battery service life limit prediction method, device, equipment and storage medium, which can accurately predict whether a vehicle-mounted battery has reached the service life limit, effectively reducing the replacement cost of the vehicle-mounted battery.

[0006] In a first aspect, a method for predicting the service life limit of a battery is provided, comprising the following steps:

[0007] Obtaining an actual static voltage value of the vehicle-mounted battery, and determining whether the actual static voltage value is less than a preset voltage threshold;

[0008] If the actual static voltage value is less than the static voltage threshold, obtaining an actual starting current value of the starter, and determining whether the actual starting current value is less than a preset current threshold;

[0009] If the actual starting current value is less than the preset current threshold, determining the SOC percentile value based on the static voltage value, the percentile characteristic relationship between the starting current value and the state of charge, the actual static voltage value and the actual starting current value;

[0010] Determining whether the SOC percentile value is less than a preset percentile threshold;

[0011] If the SOC percentile value is less than the preset percentile threshold, obtaining the generator charging current, and determining whether the generator charging current is less than the preset charging current threshold;

[0012] If the generator charging current is less than the preset charging current threshold, it is predicted that the on-board battery is at the service life limit stage.

[0013] In some embodiments, after the step of determining whether the actual static voltage value is less than a preset voltage threshold, the method further includes:

[0014] When the actual static voltage value is greater than or equal to the preset voltage threshold, it is determined that the vehicle-mounted battery is in a normal state.

[0015] In some embodiments, after the step of determining whether the actual starting current value is less than a preset current threshold, the method further includes:

[0016] When the actual starting current value is greater than or equal to the preset current threshold, it is determined that the vehicle-mounted battery is in a low-power state.

[0017] In some embodiments, after the step of determining whether the SOC percentile value is less than a preset percentile threshold, the method further includes:

[0018] When the SOC percentile value is greater than or equal to the preset percentile threshold, it is determined that the vehicle-mounted battery is in a premature aging state.

[0019] In some embodiments, after the step of determining whether the charging current of the generator is less than a preset charging current threshold, the method further includes:

[0020] When the charging current of the generator is greater than or equal to the preset charging current threshold, it is determined that the on-board battery has a potential failure risk.

[0021] In some embodiments, before the step of determining the SOC percentile value based on the percentile characteristic relationship between the static voltage value, the starting current value and the state of charge, the actual static voltage value and the actual starting current value, the method further includes:

[0022] A SOC percentile characteristic curve diagram is created based on historical static voltage values, historical starting current values, and historical state of charge, wherein the SOC percentile characteristic curve diagram includes percentile characteristic relationships between static voltage values, starting current values, and state of charge.

[0023] In some embodiments, the preset current threshold is twice the rated current value of the starter; the preset charging current threshold is 50% of the charging current when the generator is in an idle condition.

[0024] In a second aspect, a battery service life limit prediction device is provided, comprising:

[0025] A first judgment unit, which is used to obtain an actual static voltage value of the vehicle-mounted battery and judge whether the actual static voltage value is less than a preset voltage threshold;

[0026] A second judgment unit, which is used to obtain an actual starting current value of the starter if the actual static voltage value is less than the static voltage threshold, and judge whether the actual starting current value is less than a preset current threshold;

[0027] An SOC determination unit, configured to determine an SOC percentile value based on a static voltage value, a percentile characteristic relationship between the starting current value and the state of charge, the actual static voltage value, and the actual starting current value if the actual starting current value is less than the preset current threshold;

[0028] a third determination unit, configured to determine whether the SOC percentile value is less than a preset percentile threshold;

[0029] a fourth determination unit, configured to obtain a generator charging current if the SOC percentile value is less than the preset percentile threshold, and determine whether the generator charging current is less than a preset charging current threshold;

[0030] A prediction unit is used to predict that the vehicle-mounted battery is at the service life limit stage if the generator charging current is less than the preset charging current threshold.

[0031] In a third aspect, a battery service life limit prediction device is provided, comprising: a memory and a processor, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the aforementioned battery service life limit prediction method.

[0032] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer storage medium stores a computer program, and when the computer program is executed by a processor, the aforementioned battery service life limit prediction method is implemented.

[0033] The present application provides a method, device, equipment and storage medium for predicting the service life limit of a battery, including obtaining an actual static voltage value of a vehicle-mounted battery, and determining whether the actual static voltage value is less than a preset voltage threshold; if the actual static voltage value is less than the static voltage threshold, obtaining an actual starting current value of a starter, and determining whether the actual starting current value is less than a preset current threshold; if the actual starting current value is less than the preset current threshold, determining a SOC percentile value based on a percentile characteristic relationship between a static voltage value, a starting current value and a state of charge, the actual static voltage value and the actual starting current value; determining whether the SOC percentile value is less than a preset percentile threshold; if the SOC percentile value is less than the preset percentile threshold, obtaining a generator charging current, and determining whether the generator charging current is less than a preset charging current threshold; if the generator charging current is less than the preset charging current threshold, predicting that the vehicle-mounted battery is at the service life limit stage. The present application utilizes existing on-board data and accurately predicts whether the on-board battery has reached its service life limit in a timely and dynamic manner based on the engineering characteristics of the engine's starter / generator. That is, the inherent percentile characteristic relationship between the SOC and the static voltage and starting current of the lead-acid battery is utilized, and the SOC percentile value of the on-board battery is determined based on the static voltage value and the starting current value. The service life limit of the on-board battery is then accurately predicted based on the SOC percentile value and the generator charging current, so that the user can maintain or replace the on-board battery in a timely manner, thereby effectively extending the service life of the on-board battery, maximizing the use value of the on-board battery, and effectively reducing the replacement cost of the on-board battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0035] Figure 1A flowchart of a method for predicting the service life limit of a battery provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of a specific process of a method for predicting the battery life limit provided in an embodiment of the present application;

[0037] Figure 3 The SOC percentile characteristic curve diagram provided in the embodiment of the present application;

[0038] Figure 4 A schematic diagram of the structure of a battery service life limit prediction device provided in an embodiment of the present application;

[0039] Figure 5 A schematic diagram of the structure of a battery service life limit prediction device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0041] Figure 1 A method for predicting the service life limit of a battery provided in an embodiment of the present application comprises the following steps:

[0042] Step S10: obtaining an actual static voltage value of the vehicle-mounted battery, and determining whether the actual static voltage value is less than a preset voltage threshold;

[0043] Furthermore, after the step of determining whether the actual static voltage value is less than a preset voltage threshold, the method further includes:

[0044] When the actual static voltage value is greater than or equal to the preset voltage threshold, it is determined that the vehicle-mounted battery is in a normal state.

[0045] Step S20: if the actual static voltage value is less than the static voltage threshold, obtain the actual starting current value of the starter, and determine whether the actual starting current value is less than a preset current threshold; wherein the preset current threshold is twice the rated current value of the starter;

[0046] Furthermore, after the step of determining whether the actual starting current value is less than a preset current threshold, the method further includes:

[0047] When the actual starting current value is greater than or equal to the preset current threshold, it is determined that the vehicle-mounted battery is in a low-power state.

[0048] Step S30: if the actual starting current value is less than the preset current threshold, determining the SOC percentile value based on the static voltage value, the percentile characteristic relationship between the starting current value and the state of charge, the actual static voltage value and the actual starting current value;

[0049] Furthermore, before the step of determining the SOC percentile value based on the percentile characteristic relationship between the static voltage value, the starting current value and the state of charge, the actual static voltage value and the actual starting current value, the method further includes:

[0050] A SOC percentile characteristic curve diagram is created based on historical static voltage values, historical starting current values, and historical state of charge, wherein the SOC percentile characteristic curve diagram includes percentile characteristic relationships between static voltage values, starting current values, and state of charge.

[0051] Step S40: determining whether the SOC percentile value is less than a preset percentile threshold;

[0052] Further, after the step of determining whether the SOC percentile value is less than a preset percentile threshold, the method further includes:

[0053] When the SOC percentile value is greater than or equal to the preset percentile threshold, it is determined that the vehicle-mounted battery is in a premature aging state.

[0054] Step S50: if the SOC percentile value is less than the preset percentile threshold, obtain the generator charging current, and determine whether the generator charging current is less than a preset charging current threshold; wherein the preset charging current threshold is 50% of the charging current when the generator is in an idle condition;

[0055] Furthermore, after the step of determining whether the charging current of the generator is less than a preset charging current threshold, the method further includes:

[0056] When the charging current of the generator is greater than or equal to the preset charging current threshold, it is determined that the on-board battery has a potential failure risk.

[0057] Step S60: If the generator charging current is less than the preset charging current threshold, it is predicted that the vehicle battery is at the service life limit stage.

[0058] The embodiment of the present application utilizes existing on-board data and accurately predicts whether the on-board battery has reached its service life limit in a timely and dynamic manner based on the engineering characteristics of the engine's starter / generator. That is, the inherent percentile characteristic relationship between the SOC and the static voltage and starting current of the lead-acid battery is utilized, and the SOC percentile value of the on-board battery is determined based on the static voltage value and the starting current value. The service life limit of the on-board battery is then accurately predicted based on the SOC percentile value and the generator charging current, so that the user can maintain or replace the on-board battery in a timely manner, thereby effectively extending the service life of the on-board battery, maximizing the use value of the on-board battery, and effectively reducing the replacement cost of the on-board battery.

[0059] The following combination Figure 2 The working process and principle of this embodiment are further explained.

[0060] This embodiment can directly read the static voltage value Vstop and the starting current value Istart when the vehicle starts through the sensor of the vehicle battery, and increase the software expansion judgment function of the existing ECU (Electronic Control Unit) without adding any additional hardware facilities.

[0061] Among them, the size of the actual Vstop is first judged, that is, whether the actual Vstop reaches the lower limit of the starter boundary (that is, the preset voltage threshold); if it has reached the lower limit of the boundary, then compare the actual Istart with the rated current value In of the starter, that is, whether the actual Istart is lower than 2*In (that is, the preset current threshold); if it is lower than 2*In, the SOC (State of Charge, state of charge, the battery of a motor vehicle can generally be used normally for 3 to 8 years, and the specific service life can be determined according to the driving conditions of the motor vehicle. If its capacity decay reaches more than 90%, it is usually necessary to replace a new battery) percentile value of the battery. The specific object to be selected for judgment can be determined according to actual needs and is not limited here) percentile value (of course, the SOH (State of Health, the health of the battery) can also be judged. When the SOC percentile value is lower than the preset percentile threshold and the generator charging current value Icharge is less than the preset charging current threshold, it can be judged that the service life limit of the battery is approaching, and it is necessary to prepare to replace a new battery.

[0062] Specifically, take a vehicle battery with a performance index of 12V / 70Ah / 760CCA (Cold Cranking Ampere, which indicates the amount of current released by the battery for 30 consecutive seconds before the voltage drops to the limit feed voltage under a certain low temperature state. For example: a 12V battery shell indicates a CCA value of 760, which means that at 0°C, before the voltage drops to 7.2 volts, it can provide 760 amperes of current for 30 consecutive seconds):

[0063] Before the vehicle is started, that is, when the car key is in the off position, the static voltage value Vstop of the vehicle battery is read through the vehicle battery sensor; among them, the normal Vstop value is generally between 11.8V and 12.8V, so the preset voltage threshold can be set to 11.8V.

[0064] When Vstop≥11.8V, it means that the vehicle battery is in normal state, that is, the vehicle battery can continue to be used normally; and when Vstop<11.8V, it means that the vehicle battery may have reached the limit of its service life. At this time, it is necessary to read the starter's starting current value Istart through the vehicle sensor when the vehicle is started, that is, when the key is in the start position, and further determine whether the vehicle battery has reached the limit of its service life based on Istart; among them, during normal startup, the Istart value is generally greater than 2*In (that is, the preset current threshold, of course, the specific value of the preset current threshold can also be determined according to actual needs). The rated power P of a general household vehicle starter is between 1.0KW and 2.0KW, and the rated current value In of the starter is generally in the range of 80A to 160A, so the preset current threshold can be set to 160A.

[0065] When Istart≥2*In and Vstop<11.8V, it means that the vehicle battery has not reached the service life limit, but is in a low-power state. At this time, the vehicle battery can be started by an external power supply; and when Istart<2*In, it means that the possibility of the vehicle battery reaching the service life limit is further increased, but it is still necessary to further determine the SOC percentile value of the battery, that is, the net dischargeable capacity of the battery. Considering that the vehicle battery is generally a lead-acid battery, based on the voltage / current characteristics of the lead-acid battery itself and the dark current of the vehicle, it can be known that when the net capacity decays to 7Ah, it is the limit to ensure the normal start of the vehicle next time, that is, the SOC percentile value of the vehicle battery is about 10%, so the preset percentile threshold can be set to 10%.

[0066] Among them, according to the historical data of the vehicle's starter / battery (i.e. historical static voltage value, historical starting current value and historical state of charge), the intrinsic relationship distribution diagram of SOC and Istart / Vstop can be found in theory, and then the SOC percentile characteristic curve can be obtained (see Figure 3 As shown, Figure 3 The percentile characteristic relationship between the SOC percentile values ​​of 10%, 50% and 90% and the static voltage value and the starting current value is shown). Therefore, according to the voltage / current / SOC characteristics of the lead-acid battery itself, combined with the Istart value and Vstop value of the vehicle data, and referring to the SOC percentile characteristic curve of the SOC and the static voltage value and the starting current value, the SOC percentile value of the vehicle battery can be obtained, where 10% is the lower limit.

[0067] When the SOC percentile value is ≥10% and Istart<2*In, it means that the vehicle battery has not reached the service life limit, but is in a premature aging state; and when the SOC percentile value is <10%, that is, Istart and Vstop reach the lower limit of the SOC characteristic diagram, it means that the vehicle battery is very likely to have reached the service life limit, and the ultimate judgment can be made based on the generator charging current Icharge. Among them, the charging current of the generator is the smallest when it is idling, recorded as Ii, and when Icharge is less than 50%*Ii, it means that the battery can no longer be charged and needs to be replaced with a new battery in time. Therefore, the preset charging current threshold can be set to 50% of the charging current when the generator is in idling condition.

[0068] When Icharge≥50%*Ii, it means that the vehicle battery has not reached the limit of its service life. Although it has not reached the limit of its service life, there is a risk of potential failure. Therefore, it is recommended that the user plan or make an appointment to replace the vehicle battery; and when Icharge<50%*Ii, it means that the vehicle battery has reached the limit of its service life. At this time, the user needs to force or replace the vehicle battery in time.

[0069] It can be seen that this embodiment is based on the engineering characteristics of the engine starter / generator and the inherent SOC and static voltage, starting current percentile characteristic diagram of the lead-acid battery, and uses the Vstop / Istart data to obtain the SOC percentile value of the vehicle battery, and then predicts the service life limit of the vehicle battery based on the SOC percentile value and Icharge, that is, predicts the functional status of the vehicle battery, and prompts the user to maintain or replace the battery in time, making the vehicle more intelligent and real-time feedback on the working status of the vehicle battery, so that the user can directly and timely understand the service life limit of the vehicle battery, extend the use time of the vehicle battery, maximize the value of the vehicle battery, and reduce the maintenance cost of the vehicle. In addition, the prediction method of the vehicle battery provided in this embodiment only needs to add relevant condition judgments in the existing ECU software, can feedback the working status and service life of the vehicle battery in real time, increase the artificial intelligence of the vehicle battery, and do not add any additional hardware, which is an effective software calibration and artificial intelligence technology application.

[0070] See also Figure 4 As shown, the embodiment of the present application also provides a battery service life limit prediction device, comprising:

[0071] A first judgment unit, which is used to obtain an actual static voltage value of the vehicle-mounted battery and judge whether the actual static voltage value is less than a preset voltage threshold;

[0072] A second judgment unit, which is used to obtain an actual starting current value of the starter if the actual static voltage value is less than the static voltage threshold, and judge whether the actual starting current value is less than a preset current threshold;

[0073] An SOC determination unit, configured to determine an SOC percentile value based on a static voltage value, a percentile characteristic relationship between the starting current value and the state of charge, the actual static voltage value, and the actual starting current value if the actual starting current value is less than the preset current threshold;

[0074] a third determination unit, configured to determine whether the SOC percentile value is less than a preset percentile threshold;

[0075] a fourth determination unit, configured to obtain a generator charging current if the SOC percentile value is less than the preset percentile threshold, and determine whether the generator charging current is less than a preset charging current threshold;

[0076] A prediction unit is used to predict that the vehicle-mounted battery is at the service life limit stage if the generator charging current is less than the preset charging current threshold.

[0077] Furthermore, the first determining unit is further configured to:

[0078] When the actual static voltage value is greater than or equal to the preset voltage threshold, it is determined that the vehicle-mounted battery is in a normal state.

[0079] Furthermore, the second determination unit is further configured to:

[0080] When the actual starting current value is greater than or equal to the preset current threshold, it is determined that the vehicle-mounted battery is in a low-power state.

[0081] Furthermore, the third judgment unit is also used for:

[0082] When the SOC percentile value is greater than or equal to the preset percentile threshold, it is determined that the vehicle-mounted battery is in a premature aging state.

[0083] Furthermore, the fourth determination unit is further configured to:

[0084] When the charging current of the generator is greater than or equal to the preset charging current threshold, it is determined that the on-board battery has a potential failure risk.

[0085] Furthermore, the SOC determination unit is further configured to:

[0086] A SOC percentile characteristic curve diagram is created based on historical static voltage values, historical starting current values, and historical state of charge, wherein the SOC percentile characteristic curve diagram includes percentile characteristic relationships between static voltage values, starting current values, and state of charge.

[0087] Furthermore, the preset current threshold is twice the rated current value of the starter; and the preset charging current threshold is 50% of the charging current when the generator is in an idle condition.

[0088] It should be noted that technicians in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described device and each unit can refer to the corresponding process in the aforementioned battery service life limit prediction method embodiment, and will not be repeated here.

[0089] The battery life limit prediction device provided in the above embodiment can be implemented in the form of a computer program. The computer program can be used in Figure 5 The battery life limits shown are predicted for equipment running on them.

[0090] An embodiment of the present application also provides a battery service life limit prediction device, including: a memory, a processor and a network interface connected via a system bus, the memory storing at least one instruction, and the at least one instruction being loaded and executed by the processor to implement all or part of the steps of the aforementioned battery service life limit prediction method.

[0091] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0092] The processor may be a CPU, or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, etc. The processor is the control center of the computer device, and uses various interfaces and lines to connect various parts of the entire computer device.

[0093] The memory can be used to store computer programs and / or modules. The processor realizes various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a video playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as video data, image data, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediacard, SMC), a secure digital (Secure digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device or other volatile solid-state storage device.

[0094] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, all or part of the steps of the aforementioned battery service life limit prediction method are implemented.

[0095] The embodiment of the present application implements all or part of the aforementioned process, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of each of the above methods when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0096] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, servers or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

[0097] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0098] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. A method for predicting the service life limit of a battery, characterized in that: The following steps are involved: Obtaining an actual static voltage value of the vehicle-mounted battery, and determining whether the actual static voltage value is less than a preset voltage threshold; If the actual static voltage value is less than the preset voltage threshold, obtaining the actual starting current value of the starter, and determining whether the actual starting current value is less than the preset current threshold; If the actual starting current value is less than the preset current threshold, determining the SOC percentile value based on the static voltage value, the percentile characteristic relationship between the starting current value and the state of charge, the actual static voltage value and the actual starting current value; Determining whether the SOC percentile value is less than a preset percentile threshold; If the SOC percentile value is less than the preset percentile threshold, obtaining the generator charging current, and determining whether the generator charging current is less than the preset charging current threshold; If the generator charging current is less than the preset charging current threshold, it is predicted that the vehicle battery is at the service life limit stage; Wherein, before the step of determining the SOC percentile value based on the percentile characteristic relationship between the static voltage value, the starting current value and the state of charge, the actual static voltage value and the actual starting current value, the method further includes: A SOC percentile characteristic curve diagram is created based on historical static voltage values, historical starting current values, and historical state of charge, wherein the SOC percentile characteristic curve diagram includes percentile characteristic relationships between static voltage values, starting current values, and state of charge.

2. The method for predicting the battery service life limit according to claim 1, characterized in that: After the step of determining whether the actual static voltage value is less than a preset voltage threshold, the method further includes: When the actual static voltage value is greater than or equal to the preset voltage threshold, it is determined that the vehicle-mounted battery is in a normal state.

3. The method for predicting the battery service life limit according to claim 1, characterized in that: After the step of determining whether the actual starting current value is less than the preset current threshold, the method further includes: When the actual starting current value is greater than or equal to the preset current threshold, it is determined that the vehicle-mounted battery is in a low-power state.

4. The method for predicting the battery service life limit according to claim 1, characterized in that: After the step of determining whether the SOC percentile value is less than a preset percentile threshold, the method further includes: When the SOC percentile value is greater than or equal to the preset percentile threshold, it is determined that the vehicle-mounted battery is in a premature aging state.

5. The method for predicting the battery service life limit according to claim 1, characterized in that: After the step of determining whether the charging current of the generator is less than a preset charging current threshold, the method further includes: When the charging current of the generator is greater than or equal to the preset charging current threshold, it is determined that the on-board battery has a potential failure risk.

6. The method for predicting the battery service life limit according to claim 1, characterized in that: The preset current threshold is twice the rated current value of the starter; the preset charging current threshold is 50% of the charging current when the generator is in an idle condition.

7. A battery service life limit prediction device, characterized in that: include: A first judgment unit, which is used to obtain an actual static voltage value of the vehicle-mounted battery and judge whether the actual static voltage value is less than a preset voltage threshold; A second judgment unit, which is used to obtain an actual starting current value of the starter if the actual static voltage value is less than the preset voltage threshold, and judge whether the actual starting current value is less than the preset current threshold; An SOC determination unit, configured to determine an SOC percentile value based on a static voltage value, a percentile characteristic relationship between the starting current value and the state of charge, the actual static voltage value, and the actual starting current value if the actual starting current value is less than the preset current threshold; a third determination unit, configured to determine whether the SOC percentile value is less than a preset percentile threshold; a fourth determination unit, configured to obtain a generator charging current if the SOC percentile value is less than the preset percentile threshold, and determine whether the generator charging current is less than a preset charging current threshold; a prediction unit, configured to predict that the vehicle-mounted battery is at a service life limit stage if the generator charging current is less than the preset charging current threshold; Wherein, the SOC determination unit is further used for: A SOC percentile characteristic curve diagram is created based on historical static voltage values, historical starting current values, and historical state of charge, wherein the SOC percentile characteristic curve diagram includes percentile characteristic relationships between static voltage values, starting current values, and state of charge.

8. A battery service life limit prediction device, characterized in that: include: A memory and a processor, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the battery service life limit prediction method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for predicting the battery service life limit according to any one of claims 1 to 6 is implemented.

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