CN111639425B - Storage battery starting performance prediction method, storage medium and electronic equipment - Google Patents

Storage battery starting performance prediction method, storage medium and electronic equipment Download PDF

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CN111639425B
CN111639425B CN202010457236.3A CN202010457236A CN111639425B CN 111639425 B CN111639425 B CN 111639425B CN 202010457236 A CN202010457236 A CN 202010457236A CN 111639425 B CN111639425 B CN 111639425B
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voltage
storage battery
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battery
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CN111639425A (en
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余庆祥
刘庆明
孙建伟
何旭阳
季发举
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Dongfeng Motor Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G01—MEASURING; TESTING
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    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
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Abstract

The invention provides a storage battery starting performance prediction method, a storage medium and electronic equipment, wherein the method comprises the steps of obtaining the current voltage of a storage battery and the current corresponding to the current voltage, wherein the current voltage is positively related to the current; inputting the current voltage and the current into a preset resistance model for calculating the ohmic resistance of the storage battery to obtain the current ohmic resistance; calculating the current lowest end voltage of the storage battery according to the current ohmic resistance; and judging the starting performance of the storage battery according to the current lowest voltage. By implementing the invention, the storage battery SOF can be calculated no matter the storage battery has large charge and discharge current or the storage battery has small charge and discharge current, the calculation accuracy of the storage battery SOF is improved, the storage battery SOF is updated in time, and the judgment reliability is improved.

Description

Storage battery starting performance prediction method, storage medium and electronic equipment
Technical Field
The present invention relates to the field of automotive technologies, and in particular, to a method for predicting starting performance of a storage battery, a storage medium, and an electronic device.
Background
As a technical scheme for effectively balancing the oil consumption target and the cost target, the starting and stopping technology of the traditional fuel vehicle (Internal Combustion Engine Vehicle, ICEV) is powered by a lead-acid storage battery, and the traditional starter is started, so that the problems of long starting time, large engine shake, large noise and the like exist. The 48V light hybrid power (Mild Hybrid Electric Vehicle, MHEV) is powered by a 48V lithium battery, so that the belt type power generation and starting integrated machine (Belt Starter Generator, BSG) is started, and compared with ICEV starting and stopping, the starting process has the advantages of short starting time, small engine shake and low noise, and is adopted by more and more host factories.
The idle start-stop function performs state analysis on the storage battery through a battery sensor (Intelligent Battery Sensor, IBS), and transmits analysis parameter results to an engine management system to perform a start-stop action judgment condition. The starting performance (State of Function, SOF) of the battery characterizes the lowest voltage of the battery during the next start-up, which is used to determine a condition for start-stop operation. At present, the existing battery SOF is calculated through the large charge-discharge flow of the battery in each starting process, and updated. However, the starting and stopping process of the MHEV adopts a 48-volt lithium battery to start, and the frequency of starting an engine by adopting a storage battery is greatly reduced, so that the storage battery SOF cannot be calculated by utilizing small charging and discharging flows of the storage battery in each starting process, the storage battery SOF cannot be updated in time, the precision of the storage battery SOF is easily reduced by adopting the existing storage battery SOF calculation method, the risk of starting and stopping failure of the MHEV is caused, and the determination reliability is poor, so that the method is not suitable for the MHEV.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a storage battery starting performance prediction method, a storage medium and electronic equipment, which can update the storage battery SOF in time by improving the precision of calculating the storage battery SOF, and can be suitable for ICEV and MHEV, and improve the compatibility and the judgment reliability.
The technical scheme of the invention provides a method for predicting the starting performance of a storage battery, which comprises the following steps:
acquiring the current voltage of a storage battery and the current corresponding to the current voltage, wherein the current voltage and the current are positively correlated;
inputting the current voltage and the current into a preset resistance model for calculating the ohmic resistance of the storage battery to obtain the current ohmic resistance;
calculating the current lowest end voltage of the storage battery according to the current ohmic resistance;
and judging the starting performance of the storage battery according to the current lowest voltage.
Further, the obtaining the current voltage of the storage battery and the current corresponding to the current voltage, where the current voltage and the current are positively correlated, includes:
acquiring the voltage to be detected of the storage battery and the current to be detected corresponding to the voltage to be detected;
when the difference value of the sampling periods of two adjacent voltages to be tested is smaller than a preset period threshold, the difference value of the two adjacent voltages to be tested is larger than a preset voltage threshold, the difference value of two adjacent currents to be tested is larger than a preset current threshold, and the current sampling number is larger than or equal to the preset sampling number threshold, the voltages to be tested and the currents to be tested are used as the current voltage and the current.
Further, the preset resistance model for calculating the ohmic resistance of the storage battery includes:
acquiring a historical voltage of a historical storage battery and a historical current corresponding to the historical voltage;
performing curve fitting on the historical voltage and the historical current to obtain a historical storage battery fitting function curve;
and calculating the sum of the square differences of the historical voltage, the historical current and the historical storage battery fitting function curve to be minimum by using a least square method, and obtaining the resistance model.
Further, the performing curve fitting on the historical voltage and the historical current to obtain a historical storage battery fitting function curve includes:
according to the historical voltage and the historical current, selecting a linear function as a function model to be selected;
and fitting the historical voltage, the historical current and the linear function respectively to obtain a fitting function curve of the historical storage battery.
Further, the inputting the present voltage and the present current into a preset resistance model for calculating the ohmic resistance of the storage battery to obtain the present ohmic resistance includes:
calculating the current ohmic resistance by using the following formula:
Figure GDA0004233690900000031
wherein:
Figure GDA0004233690900000032
wherein R is 0 Is the current ohmic resistance; n is the number of samples; i i A present current for the i-th sampling point;
Figure GDA0004233690900000033
is the sum of the collected current; U i is the current voltage of the ith sampling point; />
Figure GDA0004233690900000034
Is the sum of the current voltages collected.
Further, the calculating the current lowest terminal voltage of the storage battery according to the current ohmic resistance specifically includes:
calculating the current minimum voltage by using the following formula:
U sof ＝E-I max *R 0
wherein U is sof Is the current lowest voltage; e is the current electromotive force of the storage battery; i max Is the maximum starting current of the starter.
Further, the determining the starting performance of the storage battery according to the current lowest voltage includes:
acquiring the lowest starting voltage of the starter;
when the current lowest voltage is greater than or equal to the lowest starting voltage, the storage battery meets the next starting capacity;
when the lowest voltage is smaller than the lowest starting voltage, the storage battery does not meet the next starting capability.
The technical solution of the present invention also provides a storage medium storing computer instructions for executing all the steps of the battery starting performance prediction method as described above when the computer executes the computer instructions.
The technical scheme of the invention also provides electronic equipment, which comprises:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform:
acquiring the current voltage of a storage battery and the current corresponding to the current voltage, wherein the current voltage and the current are positively correlated;
inputting the current voltage and the current into a preset resistance model for calculating the ohmic resistance of the storage battery to obtain the current ohmic resistance;
calculating the current lowest end voltage of the storage battery according to the current ohmic resistance;
and judging the starting performance of the storage battery according to the current lowest voltage.
After the technical scheme is adopted, the method has the following beneficial effects: the current voltage and the current corresponding to the current voltage are obtained, the current voltage and the current are positively correlated, the current voltage and the current are input into a preset resistance model, the current ohmic resistance is obtained, the current lowest voltage of the storage battery is calculated according to the current ohmic resistance, and whether the SOF of the storage battery meets the capacity of starting the starter next time or not is judged according to the lowest voltage, so that the SOF of the storage battery can be calculated no matter whether the storage battery is large in charging and discharging current or small in charging and discharging current, the calculation precision of the SOF of the storage battery is improved, the SOF of the storage battery is updated in time, and the judgment reliability is improved.
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The present disclosure will become more readily understood with reference to the accompanying drawings. It should be understood that: the drawings are for illustrative purposes only and are not intended to limit the scope of the present invention. In the figure:
FIG. 1 is a flowchart of a method for predicting battery starting performance according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for predicting battery starting performance according to the preferred embodiment of the present invention;
fig. 3 is a schematic hardware structure of an electronic device for predicting starting performance of a storage battery according to the present invention.
Detailed Description
Specific embodiments of the present invention will be further described below with reference to the accompanying drawings.
It is to be readily understood that, according to the technical solutions of the present invention, those skilled in the art may replace various structural modes and implementation modes with each other without changing the true spirit of the present invention. Accordingly, the following detailed description and drawings are merely illustrative of the invention and are not intended to be exhaustive or to limit the invention to the precise form disclosed.
Terms of orientation such as up, down, left, right, front, rear, front, back, top, bottom, etc. mentioned or possible to be mentioned in the present specification are defined with respect to the configurations shown in the drawings, which are relative concepts, and thus may be changed according to different positions and different use states thereof. These and other directional terms should not be construed as limiting terms.
Fig. 1 is a flowchart of a method for predicting starting performance of a storage battery according to an embodiment of the present invention, including:
step S101: acquiring the current voltage of the storage battery and the current corresponding to the current voltage;
step S102: inputting the current voltage and the current into a preset resistance model for calculating the ohmic resistance of the storage battery to obtain the current ohmic resistance;
step S104: calculating the current lowest voltage of the storage battery according to the current ohmic resistance;
step S105: and judging the starting performance of the storage battery according to the current lowest voltage.
Specific: the present voltage and the present current of the storage battery can be collected by a battery sensor (Intelligent Battery Sensor, IBS) arranged on the storage battery, the present voltage and the present current of the storage battery at the same moment are collected by the IBS to form a present current voltage set, and are sent to the controller, the controller executes step S101 to obtain the present voltage and the present current of the storage battery, the present voltage is positively correlated with the present current, that is, the variation direction of the present voltage and the present current is the same, so that the present voltage and the present current are intensively distributed at two sides of the linear function relation, and then, executing step S102 to input a preset resistance model to obtain the current ohmic resistance, and executing step S103 to calculate the current lowest voltage of the storage battery, so that the storage battery SOF can be calculated no matter whether the storage battery is large in charging and discharging current or small in charging and discharging current, the calculation accuracy of the storage battery SOF is improved, the storage battery SOF is updated in time, and finally, executing step S104 to judge whether the SOF of the storage battery meets the capacity of starting the starter next time according to the current lowest voltage, and the judgment reliability is improved.
In this embodiment, the controller may be an electronic control unit (Electronic Control Unit, ECU), a vehicle body controller (Body Control Module, BCM), or other independent control chips with control capability, and in this embodiment, the controller is preferably an ECU.
According to the storage battery starting performance prediction method, the current voltage and the current corresponding to the current voltage are obtained, the current voltage and the current are positively correlated, the current voltage and the current are input into the preset resistance model to obtain the current ohmic resistance, the current lowest-end voltage of the storage battery is calculated according to the current ohmic resistance, and whether the SOF of the storage battery meets the capacity of starting a starter next time is judged according to the lowest-end voltage, so that the SOF of the storage battery can be calculated no matter whether the storage battery is charged or discharged with large current or the storage battery is charged or discharged with small current, the calculation precision of the SOF of the storage battery is improved, the SOF of the storage battery is updated timely, and the judgment reliability is improved.
In one embodiment, the preset resistance model for calculating the ohmic resistance of the battery may be an existing equivalent circuit model of the battery, and in order to further improve the calculation accuracy of the SOF of the battery, the resistance model in this embodiment is preferably obtained by adopting the following steps:
acquiring a historical voltage of a historical storage battery and a historical current corresponding to the historical voltage;
performing curve fitting on the historical voltage and the historical current to obtain a historical storage battery fitting function curve;
and calculating the sum of square differences of the historical voltage, the historical current and the historical storage battery fitting function curve by using a least square method to obtain a resistance model.
Specifically, the historical voltage of the historical storage battery and the historical current corresponding to the historical voltage are collected through the IBS, 2000 pairs of historical voltage and historical current can be collected to form a historical current voltage set and sent to the controller, after the controller obtains the historical current voltage set, the historical voltage and the historical current are subjected to curve fitting to obtain a historical storage battery fitting function curve, the least square method is used for calculating the sum of the historical voltage, the historical current and the square difference of the historical storage battery fitting function curve to obtain a resistance model, and the resistance model is preset in the controller when the storage battery SOF is judged, so that the storage battery SOF is updated timely, and the judging reliability is improved.
In one embodiment, the curve fitting the historical voltage and the historical current to obtain a historical battery fitting function curve includes:
according to the historical voltage and the historical current, selecting a linear function as a function model to be selected;
and respectively fitting the historical voltage, the historical current and the linear function to obtain a historical storage battery fitting function curve.
Specifically, the controller selects a linear function as a fitting objective function according to a Resistor-capacitor circuit (RC circuit) principle, and performs curve fitting on the historical voltage and the historical current, so that a historical current-voltage set is in a linear function relationship, and a historical storage battery fitting function curve is obtained, thereby realizing that the storage battery SOF can be calculated no matter the storage battery is charged and discharged with large current or the storage battery is charged and discharged with small current, improving the calculation accuracy of the storage battery SOF, realizing timely updating of the storage battery SOF, and improving the judgment reliability.
In one embodiment, in order to further improve calculation accuracy of the battery SOF, to update the battery SOF in time, and improve the reliability of determination, the inputting the present voltage and the present current into a preset resistance model for calculating the ohmic resistance of the battery, to obtain the present ohmic resistance, includes:
the current ohmic resistance was calculated using the following:
Figure GDA0004233690900000081
wherein:
Figure GDA0004233690900000082
wherein R is 0 Is the current ohmic resistance; n is the number of samples; i i A present current for the i-th sampling point;
Figure GDA0004233690900000083
is the sum of the collected current; u (U) i The current voltage of the ith sampling point; />
Figure GDA0004233690900000084
Is the sum of the current voltages collected.
In one embodiment, the calculating the current lowest terminal voltage of the storage battery according to the current ohmic resistance specifically includes:
the current minimum voltage is calculated using the following:
U sof ＝E-I max *R 0 (2) A kind of electronic device with high-pressure air-conditioning system
Wherein u is sof Is the current lowest voltage; e is the current electromotive force of the storage battery; i max Is the maximum starting current of the starter.
Specifically, the controller obtains the following information by obtainingEngine starting torque parameter T max Thereby obtaining the maximum starting current I of the starter max E is obtained according to the State of Charge (SOC) -open circuit voltage (Open Circuit Voltage, OCV) curve relationship of the current storage battery, and then the current minimum voltage U of the starter is calculated according to the formula (2) sof Thereby, it is judged whether the SOF of the storage battery satisfies the capability of starting the starter next time, and the judgment reliability is improved.
Fig. 2 is a working flow chart of a method for predicting starting performance of a storage battery according to a preferred embodiment of the present invention:
step S201: acquiring the voltage to be measured of the storage battery and the current to be measured corresponding to the voltage to be measured;
step S202: whether the difference value of sampling periods of two adjacent voltages to be tested is smaller than a preset period threshold value or not;
step S203: whether the difference value of two adjacent voltages to be detected is larger than a preset voltage threshold value or not, and whether the difference value of two adjacent currents to be detected is larger than a preset current threshold value or not;
step S204: whether the current sampling number is greater than or equal to a preset sampling number;
step S205: taking the voltage to be measured and the current to be measured as the current voltage and the current;
step S206: calculating the current ohmic resistance of the storage battery;
step S207: calculating the current lowest end voltage of the storage battery;
step S208: acquiring the lowest starting voltage of the starter;
step S209: whether the current lowest voltage is greater than or equal to the lowest starting voltage;
step S210: the storage battery meets the next starting capability;
step S211: the battery does not meet the next starting capability.
Specific: the controller obtains the voltage U to be measured of the storage battery at the same moment by IBS executing step S201 i And the current I to be measured i And executing step S202 to determine two adjacent voltages U to be measured i 、U j I.e., the difference in sampling period of T (U i )-T(U j ) Whether or not it is smaller than a preset period threshold T 0 If yes, step S203 is executed, otherwise step S201 is executed; the controller executes step S203 to determine two adjacent voltages U to be measured i 、U j Is the difference of (U) i -U j ) Whether or not it is greater than a preset voltage threshold U 0 And two adjacent currents I to be measured i 、U j The difference of (i.e. I i -I j ) Whether or not it is greater than a preset current threshold I 0 If yes, the positive correlation between the voltage to be detected and the current to be detected acquired by the IBS is indicated, the step S204 is executed, otherwise, the step S201 is executed; the controller executes step S204 to judge whether the current sampling number j is larger than or equal to the preset sampling number N, if yes, the steps S205-S208 are executed to indicate that the voltage and current acquisition is completed, otherwise, the step S201 is executed; due to the minimum starting voltage U of the starter starter_min Closely related to the SOC of the battery, U of the starter when the SOC of the battery is high starter_min Is also relatively high, so that the controller can test and calibrate the minimum starting voltage U of the starter according to the actual vehicle-mounted storage battery when executing the step S208 starter_min And executing step S209 to determine the current minimum terminal voltage U sof Whether or not it is greater than the minimum starting voltage U starter_min If yes, executing step S210 to output that the battery meets the next starting capability, otherwise executing step S211 to output that the battery does not meet the next starting capability.
According to the storage battery starting performance prediction method, the voltage to be detected and the current to be detected corresponding to the voltage to be detected of the storage battery are obtained, the voltage to be detected and the current to be detected are judged, so that the voltage to be detected and the current to be detected are positively correlated, the current voltage and the current are obtained, the current voltage and the current are input into a preset resistance model, the current ohmic resistance is obtained, the current lowest voltage of the storage battery is calculated according to the current ohmic resistance, and whether the SOF of the storage battery meets the capacity of starting a starter next time is judged according to the lowest voltage, so that the SOF of the storage battery can be calculated no matter whether the storage battery is large in charging and discharging current or small in charging and discharging current of the storage battery, the calculation precision of the SOF of the storage battery is improved, the SOF of the storage battery is updated timely, and the judging reliability is improved.
Fig. 3 is a schematic hardware structure diagram of an electronic device for predicting starting performance of a storage battery according to the present invention, where the hardware structure diagram includes:
at least one processor 301; the method comprises the steps of,
a memory 302 communicatively coupled to the at least one processor 301; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory 302 stores instructions executable by the one processor 301, the instructions being executable by the at least one processor 301 to enable the at least one processor 301 to:
acquiring the current voltage of the storage battery and the current corresponding to the current voltage, wherein the current voltage and the current are positively related;
inputting the current voltage and the current into a preset resistance model for calculating the ohmic resistance of the storage battery to obtain the current ohmic resistance;
calculating the current lowest voltage of the storage battery according to the current ohmic resistance;
and judging the starting performance of the storage battery according to the current lowest voltage.
One processor 301 is illustrated in fig. 3.
The electronic device is preferably an electronic control unit (Electronic Control Unit, ECU).
The electronic device may further include: an input device 303 and an output device 304.
The processor 301, memory 302, input device 303, and display device 304 may be connected by a bus or other means, for example.
The memory 302 is used as a non-volatile computer readable storage medium, and may be used to store a non-volatile software program, a non-volatile computer executable program, and modules, such as program instructions/modules corresponding to the battery starting performance prediction method in the embodiment of the present application, for example, the method flows shown in fig. 1 and 2. The processor 301 executes various functional applications and data processing by running nonvolatile software programs, instructions, and modules stored in the memory 302, that is, implements the battery starting performance prediction method in the above-described embodiment.
Memory 302 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created according to the use of the battery starting performance prediction method, and the like. In addition, memory 302 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 302 may optionally include memory located remotely from processor 301, which may be connected via a network to a device that performs the battery starting performance prediction method. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 303 may receive input user clicks and generate signal inputs related to user settings and function control of the battery starting performance prediction method. The display 304 may include a display device such as a display screen.
The battery start-up performance prediction method in any of the method embodiments described above is performed when executed by the one or more processors 301, with the one or more modules stored in the memory 302.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present application.
The electronic device of the embodiments of the present invention exists in a variety of forms including, but not limited to:
(1) The electronic control unit (Electronic Control Unit, ECU) is also called as a "traveling computer", "vehicle-mounted computer", etc. The device mainly comprises a microprocessor (CPU), a memory (ROM, RAM), an input/output interface (I/O), an analog-to-digital converter (A/D), and large-scale integrated circuits such as shaping and driving.
(2) Mobile communication devices, which are characterized by mobile communication functionality and are aimed at providing voice, data communication. Such terminals include smart phones (e.g., iPhone), multimedia phones, functional phones, and low-end phones, among others.
(3) Ultra mobile personal computer equipment, which belongs to the category of personal computers, has the functions of calculation and processing and generally has the characteristic of mobile internet surfing. Such terminals include PDA, MID, and UMPC devices, etc.
(4) Portable entertainment devices such devices can display and play multimedia content. Such devices include audio, video players (e.g., iPod), palm game consoles, electronic books, and smart toys and portable car navigation devices.
(5) The server is similar to a general computer architecture in that the server is provided with high-reliability services, and therefore, the server has high requirements on processing capacity, stability, reliability, safety, expandability, manageability and the like.
(6) Other electronic devices with data interaction function.
Further, the logic instructions in memory 302 described above may be implemented in the form of software functional units and stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a mobile terminal (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment of the invention. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the embodiments of the present invention, and are not limited thereto; although embodiments of the present invention have been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (8)

1. A battery starting performance prediction method, characterized by comprising:
acquiring the current voltage of a storage battery and the current corresponding to the current voltage, wherein the current voltage and the current are positively correlated;
inputting the current voltage and the current into a preset resistance model for calculating the ohmic resistance of the storage battery to obtain the current ohmic resistance;
calculating the current lowest terminal voltage of the storage battery according to the current ohmic resistance: calculating the current minimum voltage by using the following formula:
U sof ＝E-I max *R 0
wherein U is sof Is the current lowest voltage; e is the current electromotive force of the storage battery; i max Is the maximum starting current of the starter;
and judging the starting performance of the storage battery according to the current lowest voltage.
2. The battery starting performance prediction method according to claim 1, wherein the obtaining a present voltage of the battery and a present current corresponding to the present voltage, the present voltage being positively correlated with the present current, comprises:
acquiring the voltage to be detected of the storage battery and the current to be detected corresponding to the voltage to be detected;
when the difference value of the sampling periods of two adjacent voltages to be tested is smaller than a preset period threshold, the difference value of the two adjacent voltages to be tested is larger than a preset voltage threshold, the difference value of two adjacent currents to be tested is larger than a preset current threshold, and the current sampling number is larger than or equal to the preset sampling number threshold, the voltages to be tested and the currents to be tested are used as the current voltage and the current.
3. The battery starting performance prediction method according to claim 1, wherein the preset resistance model for calculating the ohmic resistance of the battery includes:
acquiring a historical voltage of a historical storage battery and a historical current corresponding to the historical voltage;
performing curve fitting on the historical voltage and the historical current to obtain a historical storage battery fitting function curve;
and calculating the sum of the square differences of the historical voltage, the historical current and the historical storage battery fitting function curve to be minimum by using a least square method, and obtaining the resistance model.
4. The method for predicting battery starting performance as recited in claim 3 wherein said curve fitting said historical voltage and said historical current to obtain a historical battery fit function curve comprises:
according to the historical voltage and the historical current, selecting a linear function as a function model to be selected;
and fitting the historical voltage, the historical current and the linear function respectively to obtain a fitting function curve of the historical storage battery.
5. The method for predicting starting performance of a battery according to claim 4, wherein said inputting the present voltage and the present current into a preset resistance model for calculating an ohmic resistance of the battery to obtain the present ohmic resistance comprises:
calculating the current ohmic resistance by using the following formula:
Figure FDA0004233690890000021
wherein:
Figure FDA0004233690890000022
wherein R is 0 Is the current ohmic resistance; n is the number of samples; i i A present current for the i-th sampling point;
Figure FDA0004233690890000023
is the sum of the collected current; u (U) i The current voltage of the ith sampling point; />
Figure FDA0004233690890000024
Is the sum of the current voltages collected.
6. The battery starting performance prediction method according to any one of claims 1 to 5, wherein the determining the starting performance of the battery based on the current lowest terminal voltage includes:
acquiring the lowest starting voltage of the starter;
when the current lowest voltage is greater than or equal to the lowest starting voltage, the storage battery meets the next starting capacity;
when the lowest voltage is smaller than the lowest starting voltage, the storage battery does not meet the next starting capability.
7. A storage medium storing computer instructions which, when executed by a computer, are adapted to carry out all the steps of the battery start-up performance prediction method according to any one of claims 1 to 6.
8. An electronic device, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform:
acquiring the current voltage of a storage battery and the current corresponding to the current voltage, wherein the current voltage and the current are positively correlated;
inputting the current voltage and the current into a preset resistance model for calculating the ohmic resistance of the storage battery to obtain the current ohmic resistance;
calculating the current lowest terminal voltage of the storage battery according to the current ohmic resistance: calculating the current minimum voltage by using the following formula:
U sof ＝E-I max *R 0
wherein U is sof Is the current lowest voltage; e is the current electromotive force of the storage battery; i max Is the maximum starting current of the starter;
and judging the starting performance of the storage battery according to the current lowest voltage.
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