Storage battery starting capability prediction method and device, electronic equipment and medium

Abstract

The invention provides a storage battery starting capability prediction method and device, electronic equipment and a medium, and the method comprises the steps: obtaining the change data of the current and voltage of a storage battery when an engine is started this time; determining the moment corresponding to the maximum discharge current, the internal resistance of the starter at the moment and the internal resistance of the storage battery at the current increasing stage in the starting process of the engine based on the change data of the current and the voltage of the storage battery; and inputting the internal resistance of the storage battery and the internal resistance of the starter into a pre-constructed starting capability model to predict the starting voltage which can be provided by the storage battery when the engine is started next time. According to the invention, the prediction accuracy of the starting capability of the storage battery is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a storage battery starting capability prediction method and device, electronic equipment and medium. BACKGROUND

[0002] The engine on a fuel vehicle needs to be assisted by external force from the closed state to the open state. The function of the starter is to convert the electrical energy of the storage battery into mechanical energy to drive the flywheel of the engine to rotate and realize the starting of the engine when the vehicle starts. Therefore, it is crucial to determine whether the lead-acid storage battery can provide sufficient starting voltage.

[0003] The battery management system uses the battery function state (State of Function, SOF) parameter to represent the starting capability of the storage battery. The SOF indicates the starting voltage provided by the storage battery next time under the current battery condition, indicating the starting capability of the battery.

[0004] In the prior art, the low accuracy of SOF calculation leads to misjudgment of the starting capability of the storage battery, reducing the determination reliability. SUMMARY

[0005] Therefore, the purpose of the present application is to provide a storage battery starting capability prediction method and device, electronic equipment and medium to improve the prediction accuracy of the starting capability of the storage battery.

[0006] In a first aspect, a storage battery starting capability prediction method is provided, which comprises: obtaining the change data of the current and voltage of the storage battery during the current starting of the engine; determining the maximum discharge current corresponding time and the starter internal resistance at the time based on the change data of the current and voltage of the storage battery, and the storage battery internal resistance during the current growth stage of the engine starting process; inputting the internal resistance of the storage battery and the starter into a pre-constructed starting capability model to predict the starting voltage that the storage battery can provide during the next starting of the engine.

[0007] Optionally, obtaining the change data of the current and voltage of the storage battery during the current starting of the engine comprises: collecting the current and voltage data of the storage battery during the starting process of the engine according to a preset collection period; generating the current change data of the storage battery based on the current of the storage battery collected at each collection time, and generating the voltage change data of the storage battery based on the voltage data of the storage battery collected at each collection period.

[0008] Optionally, determining the maximum discharge current corresponding time and the starter internal resistance at the time based on the change data of the current and voltage of the storage battery comprises: determine the maximum discharge current based on the current change data of the battery, and determine the starting current of the starter as the maximum discharge current; determine the starting voltage of the starter based on the voltage collected at the corresponding time of the starting current; determine the internal resistance of the starter based on the starting current and the starting voltage.

[0009] Optionally, determining the battery internal resistance in the current growth stage during the engine starting process based on the current and voltage change data of the battery comprises: determine the starting time of the engine and the time corresponding to the maximum discharge current based on the current change data of the battery; respectively acquire the current and voltage data at the starting time, the time before starting, the time of the maximum discharge current, and the time before the maximum discharge current; determine the battery internal resistance in multiple sub-stages in the current growth stage based on the current and voltage data at the four times; the end time of each sub-stage is the time corresponding to the maximum discharge current, and the start time is one of the remaining three times; fuse the battery internal resistances of the multiple sub-stages to obtain the final battery internal resistance.

[0010] Optionally, determining the starting time of the engine based on the current change data of the battery comprises: determine the current change value at the adjacent collection time based on the current change data of the battery; compare the current change value at the current time with the current change value at the previous time; If the deviation between the two is greater than a preset change threshold, the current time is determined as the starting time.

[0011] Optionally, fusing the battery internal resistances of the multiple sub-stages to obtain the final battery internal resistance comprises: perform weighted average fusion processing on the internal resistances of the multiple sub-stages to obtain the final battery internal resistance.

[0012] Optionally, the starting capability model is a series loop model composed of the battery internal resistance, the starter internal resistance, and the open circuit voltage of the battery.

[0013] In a second aspect, a battery starting capability prediction device is provided, which comprises: an acquisition unit, configured to acquire the current and voltage change data of the battery during the current starting of the engine; a determination unit, configured to determine the time corresponding to the maximum discharge current and the internal resistance of the starter at the time based on the current and voltage change data of the battery, and determine the battery internal resistance in the current growth stage during the engine starting process; A prediction unit is configured to input the internal resistance of the battery and the starter into a pre-constructed starting capability model to predict the starting voltage that the battery can provide for the next starting of the engine.

[0014] In a third aspect, an electronic device is provided, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; The memory is configured to store a computer program. The processor is configured to execute the program stored in the memory to implement the method steps of any one of the first aspect.

[0015] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method steps of any one of the first aspect.

[0016] The battery starting capability prediction method, device, electronic device and medium provided by the application can improve the prediction accuracy of the starting voltage provided by the battery for the next starting, that is, improve the prediction accuracy of the starting capability of the battery, by determining the internal resistance of the battery by using the current and voltage data in the current growth stage, determining the internal resistance of the starter by determining the current and voltage data corresponding to the time of the maximum discharge current, and further improving the internal resistance accuracy of the starter.

[0017] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments, and it should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation to the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0019] Figure 1 A flow chart of a battery starting capability prediction method provided by an embodiment of the present application is shown; Figure 2 Fig. 1 shows a schematic diagram of a current change curve of a storage battery according to an embodiment of the present application; Figure 3 Fig. 2 shows a schematic diagram of a voltage change curve of a storage battery according to an embodiment of the present application; Figure 4 Fig. 3 shows a schematic diagram of a structure of a starting capability model according to an embodiment of the present application; Figure 5 Fig. 4 shows a schematic diagram of a structure of a storage battery starting capability prediction device according to an embodiment of the present application; Figure 6 Fig. 5 shows a schematic diagram of a structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the objects, technical solutions, and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only a part but not all of the embodiments of the present application. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0021] The embodiments of the present application provide a storage battery starting capability prediction method, which is applied to an engine starting system, and the system includes a storage battery, an engine, and a starter. The storage battery is a power supply of the engine system, for example, a lead-acid storage battery, which provides a starting current and a starting voltage for the starter in the starter starting system. The main task of the starter is to convert electric energy into mechanical energy through an electric mechanism inside the starter after receiving the electric power provided by the storage battery, and then generate sufficient torque to rotate the engine crankshaft, so that the engine enters a running state from a static state. The engine is a power source of a vehicle, which is responsible for converting heat energy generated by fuel combustion into mechanical energy to drive the vehicle forward.

[0022] Therefore, it can be understood that the starting of the engine needs the assistance of the starter, and the state (electric quantity, internal resistance, etc.) of the storage battery directly affects the working efficiency of the starter and whether the engine can be successfully started.

[0023] Based on this, the embodiments of the present application provide a storage battery starting capability prediction method, as shown in Figure 1 The method includes the following steps: Step S101: Obtain the variation data of the current and voltage of the battery during the current starting of the engine.

[0024] In one possible implementation, the obtaining of the variation data of the current and voltage of the battery during the current starting of the engine comprises: Step S101A: Collect the current and voltage data of the battery during the starting of the engine according to a preset collection period.

[0025] In this step, an EBS (Electronic Battery Sensor) can be used to collect the current and voltage data of the battery. The battery and the starter are connected in series, and one end of the EBS is connected to the battery and the other end is connected to the starter.

[0026] Step S101B: Generate the current variation data of the battery based on the current of the battery collected at each collection time, and generate the voltage variation data of the battery based on the voltage of the battery collected at each collection period.

[0027] In one example, the current and voltage data of the battery collected at each collection time can be generated into a current variation curve and a voltage variation curve, as shown in Figure 2 and Figure 3 Through the variation curves, the variation of the current and voltage of the battery can be intuitively understood.

[0028] From the current and voltage variation curves, it can be understood that before the starting of the engine, the current value changes relatively smoothly, and the current changes little between adjacent collection times.

[0029] When the starting is started, the current changes greatly and gradually increases, and the voltage gradually decreases, because the battery supplies voltage to the starter to start the engine by the starter. At this stage, the starter needs the maximum discharge current, because it needs to provide enough torque to overcome the static friction and other resistance inside the engine, so that the engine starts to rotate from the static state.

[0030] With the gradual starting of the engine, the maximum discharge current will rapidly decrease. This is because once the engine starts to rotate, the friction between the moving parts inside the engine becomes dynamic friction, the resistance decreases, and the required driving current also decreases. When the engine successfully ignites and runs, the starter stops working, and at this time the starting current also decreases to zero.

[0031] Step S102: Determine the maximum discharge current corresponding time and the internal resistance of the starter at the time, and the internal resistance of the battery during the current increasing stage of the engine starting process based on the variation data of the current and voltage of the battery.

[0032] In one possible implementation, determining the maximum discharge current corresponding time and the starter internal resistance at the time based on the change data of the current and voltage of the battery comprises: Step S102A1: determining the maximum discharge current based on the change data of the current of the battery, and determining the maximum discharge current as the starting current of the starter.

[0033] The maximum discharge current of the battery also refers to the starting current of the starter during the engine starting process.

[0034] In one example, as shown in Figure 2 , the maximum discharge current is .

[0035] Step S102A2: determining the starting voltage of the starter based on the voltage collected at the starting current corresponding time.

[0036] Step S102A3: determining the internal resistance of the starter based on the starting current and the starting voltage.

[0037] In the implementation of the present application, the internal resistance of the starter is calculated according to Ohm's law :

[0038] wherein, is the starting voltage corresponding to the starting current time, is the starting current.

[0039] According to the foregoing example, it can be understood that during the engine starting process, the change process of the battery current is from small to large, and then from large to small. During the stage of the battery current from small to large, the starter has few other variables that change significantly in addition to overcoming the static friction. Therefore, the internal resistance value calculated by using the current and voltage data at this stage is more pure and accurate, and can better reflect the electrical characteristics of the battery itself rather than the influence of external environment or other components.

[0040] In another possible implementation, determining the internal resistance of the battery during the current growth stage of the engine starting process based on the change data of the current and voltage of the battery comprises: Step S102B1: determining the engine starting time and the maximum discharge current corresponding time based on the change data of the current of the battery.

[0041] In one possible implementation, determining the engine starting time based on the change data of the current of the battery comprises: determining the current change value of the adjacent collection time based on the change data of the current of the battery; comparing the current change value at the current time with the current change value at the last time; If the deviation of the two is greater than the preset variation threshold, the current time is determined as the starting time.

[0042] As shown in Figure 2 , , , if the current variation between the two times is obviously greater than the previous current variation, the time is determined as the starting time.

[0043] Step S102B2: Obtain the current and voltage data of the starting time, the time before the starting, the time of the maximum discharge current and the time before the maximum discharge current, respectively.

[0044] As shown in Figure 2 , , , , , before the time, the variation of the current value is very smooth, and the difference between the currents is also small, but from to , the current approximately changes from -30A to -200A, and the current difference between the two is significantly greater than the current difference before the time, so the time is taken as the starting time, and the current and voltage values corresponding to the , , , times are recorded as , , , .

[0045] After the starting, the maximum current value is updated, and after the current at the time is collected, the maximum current value no longer changes. The maximum current value at the time is the maximum discharge current , and the voltage is , , The battery discharge current at the time before the starting is , and the corresponding voltage of the battery is .

[0046] Step S102B3: Determine the battery internal resistance of multiple sub-stages in the current growth stage based on the current and voltage data of the four times, respectively; the end time of each sub-stage is the time corresponding to the maximum discharge current, and the start time is one of the remaining three times.

[0047] In a specific example, the battery internal resistance of multiple sub-stages is calculated by the following formula, respectively:

[0048]

[0049]

[0050] In different stages of current growth, the physical and chemical processes inside the battery will be different. For example, in the initial stage (from to ), due to the change of current, the change of parameters such as temperature and ion concentration distribution inside the battery may be triggered, which will affect the internal resistance. Therefore, by calculating the internal resistance of the battery in different sub-stages respectively, the actual change of the internal resistance of the battery in the whole process can be more accurately reflected, thereby improving the calculation accuracy of the internal resistance of the battery.

[0051] Step S102B4: fusing the internal resistances of the battery in multiple sub-stages to obtain the final internal resistance of the battery.

[0052] In the embodiment of the present application, the final internal resistance of the battery is calculated as follows:

[0053] wherein, is a statistical processing function. The statistical processing function can be weighted fusion, that is, a certain weight coefficient is assigned to the resistance of each stage, and then the final internal resistance of the battery is obtained by weighted fusion; or it can be weighted average fusion.

[0054] For example, in a specific example, the final internal resistance of the battery is expressed as:

[0055] Step S103: inputting the internal resistances of the battery and the starter into the pre-constructed starting capability model to predict the starting voltage that the battery can provide for the next starting of the engine.

[0056] In the embodiment of the present application, the current and voltage data at multiple time points in the current growth stage are used to calculate the internal resistance of the battery, instead of relying on a single data point, which can effectively utilize data redundancy to reduce the influence of random errors. Each individual calculation may have measurement errors or local anomalies, but by fusing the multiple calculation results, these errors can be offset to obtain more reliable results.

[0057] In the embodiment of the present application, as shown in Figure 4 , the starting capability model is a series loop model based on the internal resistance of the battery, the internal resistance of the starter and the open circuit voltage of the battery.

[0058] The model structure is simple and reasonable, and improves the implementability and reliability of judging the starting capability of the battery.

[0059] Specifically, the next starting voltage is calculated by this model , which can be expressed as:

[0060] in, Indicates the open circuit voltage related to the current temperature and SOC of the battery; is the internal resistance of the battery; It is the internal resistance of the starter.

[0061] In a feasible implementation, after the predicted next starting voltage is obtained, the starting voltage is compared with a starting voltage threshold. If the starting voltage is greater than the starting voltage threshold, it indicates that the battery has starting capability; otherwise, it does not have starting capability.

[0062] From the above embodiments, it can be understood that the present invention improves the accuracy of the battery's internal resistance by determining the battery's internal resistance using the current and voltage data during the current growth phase, and further improves the accuracy of the starter's internal resistance by determining the current and voltage data at the moment corresponding to the maximum discharge current. This further improves the accuracy of the prediction of the next starting voltage provided by the battery, and characterizes the battery's starting capability by the next starting voltage, thereby improving the accuracy of the prediction of the battery's starting capability.

[0063] Based on the same inventive concept, an embodiment of the present invention provides a battery starting capability prediction device, such as Figure 5 As shown, the device includes: The acquisition unit 501 is used to obtain the battery current and voltage change data when the engine is started this time; a determination unit 502 for determining the time corresponding to the maximum discharge current and the starter internal resistance at that time, and the battery internal resistance during the current increase phase during engine starting, based on the battery current and voltage change data; The prediction unit 503 is used to input the internal resistance of the battery and the starter into a pre-built starting capability model to predict the starting voltage that the battery can provide when the engine is started next time.

[0064] The apparatus for predicting battery starting capability provided in the embodiments of the present invention can be specific hardware on a device, or software or firmware installed on the device. The implementation principles and technical effects of the apparatus provided in the embodiments of the present invention are the same as those in the aforementioned method embodiments. For the sake of brevity, any details not mentioned in the apparatus embodiments are referred to the corresponding contents in the aforementioned method embodiments. Those skilled in the art will clearly understand that, for ease and brevity of description, the specific operating processes of the aforementioned systems, apparatuses, and units can be referenced to the corresponding processes in the aforementioned method embodiments and will not be further elaborated here.

[0065] Based on the same technical concept, the embodiment of the present application also provides an electronic device, such as Figure 6 As shown, the electronic device comprises a processor 601, a communication interface 602, a memory 603 and a communication bus 604, wherein the processor 601, the communication interface 602 and the memory 603 complete communication with each other through the communication bus 604.

[0066] The memory 603 is used for storing a computer program. The processor 601 is used for executing the program stored in the memory 603, so as to realize the steps of the method for predicting starting capability of a storage battery.

[0067] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0068] The communication interface is used for communication between the electronic device and other devices.

[0069] The memory can comprise a Random Access Memory (RAM) and can also comprise a Non-Volatile Memory (NVM), for example at least one disk memory. Optionally, the memory can also be at least one storage device located away from the aforementioned processor.

[0070] The processor mentioned above can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; can also be a Digital Signal Processing (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0071] The computer program product for performing the battery starting capability prediction method provided by the embodiment of the application comprises a computer readable storage medium storing program codes, the program codes comprise instructions for performing the method described in the foregoing method embodiment, and specific implementation can be referred to the method embodiment, and details are not described herein.

[0072] In the embodiments provided by the present application, it should be understood that the disclosed device and method can be implemented in other ways. The embodiments described above are merely schematic, for example, the division of the units is merely a logical function division, and another division mode can be used in actual implementation, and for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some communication interfaces, devices or units, and can be electrical, mechanical or other forms.

[0073] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0074] In addition, each functional unit in the embodiments provided by the present application can be integrated in one processing unit, or each unit can exist physically independently, or two or more units can be integrated in one unit.

[0075] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the present application that makes essential contributions to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0076] It should be noted that similar reference numerals and letters refer to like items in the accompanying drawings, and once an item is defined in one drawing, it need not be further defined and explained in subsequent drawings. In addition, the terms "first", "second", "third", etc. are used only to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0077] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present application, and are used to illustrate the technical solutions of the present application, but are not intended to limit the present application. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily think of changes to the technical solutions described in the foregoing embodiments, or make equivalent replacements to some of the technical features, without departing from the technical scope disclosed by the present application. These modifications, changes or replacements do not cause the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application. They should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for predicting battery starting capability, characterized in that: The method comprises: Obtain the battery current and voltage change data when the engine is started this time; Determining the time corresponding to the maximum discharge current and the starter internal resistance at that time based on the current and voltage change data of the battery, and the battery internal resistance during the current growth stage during the engine starting process; The internal resistance of the battery and the starter is input into a pre-built starting capability model to predict the starting voltage that the battery can provide when the engine is started next time.

2. The method according to claim 1, characterized in that The acquisition of the battery current and voltage change data during the current engine startup includes: Collect the battery current and voltage data during the engine startup process according to the preset collection cycle; The battery current variation data is generated based on the battery current collected at each collection moment; and the battery voltage variation data is generated based on the battery voltage data collected at each collection cycle.

3. The method according to claim 1, characterized in that Determining the time corresponding to the maximum discharge current and the starter internal resistance at the time based on the current and voltage change data of the battery includes: determining a maximum discharge current based on the current variation data of the battery, and determining the maximum discharge current as a starting current of the starter; Determining a starting voltage of a starter based on a voltage collected at a time corresponding to the starting current; The internal resistance of the starter is determined based on the starting current and the starting voltage.

4. The method according to claim 1, wherein Determining the internal resistance of the battery during the current growth phase of the engine starting process based on the current and voltage change data of the battery includes: Determine the engine start time and the time corresponding to the maximum discharge current based on the battery current change data; Obtain the current and voltage data at the start-up moment, the moment before the start-up moment, the maximum discharge current moment, and the moment before the maximum discharge current moment respectively; Based on the current and voltage data at these four moments, the battery internal resistance of multiple sub-stages in the current growth phase is determined respectively; the end moment of each sub-stage is the moment corresponding to the maximum discharge current, and the starting moment is one of the remaining three moments; The battery internal resistance of multiple sub-stages is combined to obtain the final battery internal resistance.

5. The method according to claim 4, characterized in that Determining the engine start time based on battery current change data includes: Determining current change values ​​at adjacent collection moments based on the current change data of the battery; Compare the current change value at the current moment with the current change value at the previous moment; If the deviation between the two is greater than the preset change threshold, the current time is determined as the start time.

6. The method according to claim 4, characterized in that The method of fusing the battery internal resistances of the multiple sub-stages to obtain the final battery internal resistance includes: The internal resistances of multiple sub-stages are weighted averaged and fused to obtain the final battery internal resistance.

7. The method according to claim 1, characterized in that The starting capability model is a series circuit model composed of the battery internal resistance, the starter internal resistance and the battery open circuit voltage.

8. A battery starting capability prediction device, characterized in that: The device comprises: An acquisition unit, used to obtain the battery current and voltage change data when the engine is started this time; a determination unit, configured to determine the time corresponding to the maximum discharge current and the starter internal resistance at that time, and the battery internal resistance during the current increase phase during engine starting, based on the current and voltage change data of the battery; The prediction unit is used to input the internal resistance of the battery and the starter into a pre-built starting capability model to predict the starting voltage that the battery can provide when the engine is started next time.

9. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; The memory is used to store computer programs; The processor is configured to implement the method steps described in any one of claims 1 to 7 when executing the program stored in the memory.

10. 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 steps according to any one of claims 1 to 7 are implemented.

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