CN116859267A - Battery insulation performance detection method, device, equipment and readable storage medium - Google Patents

Battery insulation performance detection method, device, equipment and readable storage medium Download PDF

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Publication number
CN116859267A
CN116859267A CN202310677334.1A CN202310677334A CN116859267A CN 116859267 A CN116859267 A CN 116859267A CN 202310677334 A CN202310677334 A CN 202310677334A CN 116859267 A CN116859267 A CN 116859267A
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China
Prior art keywords
moment
time
battery
voltage value
trend
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CN202310677334.1A
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Chinese (zh)
Inventor
李鑫
刘思
郁辰
侯敏
曹辉
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Shanghai Ruipu Energy Co Ltd
Rept Battero Energy Co Ltd
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Shanghai Ruipu Energy Co Ltd
Rept Battero Energy Co Ltd
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Application filed by Shanghai Ruipu Energy Co Ltd, Rept Battero Energy Co Ltd filed Critical Shanghai Ruipu Energy Co Ltd
Priority to CN202310677334.1A priority Critical patent/CN116859267A/en
Publication of CN116859267A publication Critical patent/CN116859267A/en
Pending legal-status Critical Current

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    • 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
    • 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
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Abstract

The application discloses a battery insulation performance detection method, a device, equipment and a readable storage medium, and relates to the technical field of battery insulation performance detection, wherein the detection method comprises the following steps: step S10, obtaining a voltage value of a detection point; step S20, calculating the time-dependent change trend from the first moment to the second moment before the voltage value reaches the steady-state value; step S30, if the variation trend is lower than a preset first variation trend, a battery insulation abnormal signal is generated. The application can finish the detection of the insulating property of the battery before the voltage value of the detection point reaches the steady state value, and has short time consumption.

Description

Battery insulation performance detection method, device, equipment and readable storage medium
Technical Field
The present application relates to the field of battery insulation detection technology, and in particular, to a method, an apparatus, a device, and a readable storage medium for detecting battery insulation performance.
Background
Compared with the traditional vehicle, the electric vehicle is provided with a set of high-voltage components (such as a power battery), so that the detection of the insulating property of the power battery is required to be increased in terms of safety, and the normal operation of vehicle-mounted equipment of the vehicle is ensured.
The existing battery insulation performance detection method comprises a balance bridge detection method, an unbalanced bridge detection method and the like. In the balance bridge detection method, a larger detection resistor is respectively connected in parallel with a positive insulation resistor and a negative insulation resistor, and when the insulation resistor at one side becomes low, the voltage at the side can be reduced, so that faults and resistance values are detected. The balance bridge detection method can detect faults after the insulation resistance of a single side is obviously reduced, but faults can not be identified when the insulation resistance of double poles are reduced to the ground. On the basis, a switch and a resistor are added on each side of the unbalanced bridge detection method relative to the balanced bridge detection method, the equivalent resistance of two pairs of ground is changed by alternately switching the switches on two sides, and unbalanced detection voltages on the positive detection resistor and the negative detection resistor are obtained, so that the insulation resistance of the positive detection resistor and the negative detection resistor is calculated, the voltage on the positive detection resistor and the negative detection resistor changes along with the switching period of the switches, when the insulation resistance of one pole is lower, the voltage of the detection resistor on the side is smaller, and the voltage of the detection resistor on the other side is corresponding to the voltage of the detection resistor on the other side is higher. The unbalanced bridge detection method can accurately obtain the insulation resistance of the anode and the cathode, but the circuit needs to wait for a period of time to reach a steady state after switching the switch, so that the detection consumes a relatively long time.
Disclosure of Invention
The embodiment of the application provides a battery insulation performance detection method, device and equipment and a readable storage medium, which are used for solving the technical problem that the conventional battery insulation performance detection method in the related art consumes long time.
In a first aspect, there is provided a battery insulation performance detection method including the steps of:
acquiring a voltage value of a detection point;
calculating the time-dependent change trend of the voltage value from the first moment to the second moment before reaching the steady-state value;
and if the change trend is lower than a preset first change trend, generating a battery insulation abnormal signal.
In some embodiments, the step of calculating a trend of the voltage value over time from the first time to the second time before reaching the steady state value includes:
calculating the time-dependent change rate k of the voltage value from the first moment to the second moment; where k=Δu/(t) 2 -t 1 ) DeltaU is the time-dependent voltage value from the first moment to the second moment, t 1 For the first moment, t 2 Is the second moment.
In some embodiments, the step of calculating a trend of the voltage value over time from the first time to the second time before reaching the steady state value includes:
calculating an integral S of the voltage value from a first moment to a second moment along with time; wherein the method comprises the steps ofU is the voltage value, t 1 For the first moment, t 2 Is the second moment.
In some embodiments, t 1 Take the value 0, t 2 And taking the value tau=RC, wherein R is the battery ground insulation resistance, and C is the battery ground insulation capacitance.
In some embodiments, after the step of calculating the trend of the voltage value from the first time to the second time before reaching the steady state value, the method further includes:
if the variation trend is higher than a preset second variation trend, generating a battery insulation normal signal; wherein the preset second variation trend is larger than the preset first variation trend.
In some embodiments, after the step of calculating the trend of the voltage value from the first time to the second time before reaching the steady state value, the method further includes:
and if the change trend is not higher than the preset second change trend and the change trend is not lower than the preset first change trend, generating a battery insulation abnormality warning signal.
In some embodiments, the step of obtaining the voltage value of the detection point includes:
and connecting the first ends of the two resistors connected in series with the positive electrode or the negative electrode of the battery, and grounding the second end, wherein the common end of the two resistors is used as the detection point.
In a second aspect, there is provided a battery insulation performance detection apparatus including:
the acquisition unit is used for acquiring the voltage value of the detection point;
the calculating unit is used for calculating the time-dependent change trend from the first moment to the second moment before the voltage value reaches the steady-state value;
and the generating unit is used for generating a battery insulation abnormal signal if the change trend is lower than a preset first change trend.
In a third aspect, there is provided a computer device comprising: the battery insulation performance detection method comprises a memory and a processor, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor so as to realize the battery insulation performance detection method.
In a fourth aspect, there is provided a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the foregoing battery insulation performance detection method.
The technical scheme provided by the application has the beneficial effects that:
the embodiment of the application provides a method, a device, equipment and a readable storage medium for detecting the insulation performance of a battery, which are characterized in that firstly, a voltage value of a detection point is obtained, then a time-dependent change trend from a first moment to a second moment before the voltage value reaches a steady-state value is calculated, and finally, the change trend is compared with a preset first change trend to generate a signal whether the insulation of the battery is abnormal or not. The application can finish the detection of the insulating property of the battery before the voltage value of the detection point reaches the steady state value, and has short time consumption.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for detecting insulation performance of a battery according to an embodiment of the present application;
fig. 2 is a schematic diagram of a battery insulation detection circuit according to an embodiment of the present application;
FIG. 3 shows a battery ground insulation resistance R according to an embodiment of the present application X A graph of the detected point voltage value U1 with time t under the conditions of 500 omega/V and 1500 omega/V;
fig. 4 is another flow chart of a method for detecting insulation performance of a battery according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a battery insulation performance detection device according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The embodiment of the application provides a battery insulation performance detection method, which can solve the technical problem that the existing battery insulation performance detection method consumes long time.
Referring to fig. 1, an embodiment of the present application provides a method for detecting insulation performance of a battery, the method including the steps of:
step S10, obtaining the voltage value of the detection point.
The insulation resistance to ground of the battery can not be directly measured, a voltage dividing circuit consisting of known resistors is usually built for insulation resistance test according to the specification requirements of GB/T18384-2015, the voltage dividing circuit is connected with or disconnected from the insulation resistance to ground in parallel, the voltage of a certain point in the voltage dividing circuit is measured twice before and after, and the insulation resistance to ground of the battery is indirectly measured, wherein the point is the detection point in the embodiment of the application.
As an optional implementation manner, in an optional embodiment of the present application, taking the insulation detection circuit shown in fig. 2 as an example, the step of obtaining the voltage value of the detection point includes:
and connecting the first ends of the two resistors connected in series with the positive electrode or the negative electrode of the battery, and grounding the second end, wherein the common end of the two resistors is used as the detection point.
Referring to fig. 2, a first end of a resistor R1 and a resistor R2 connected in series is connected with a positive electrode of a battery, a second end of the resistor R2 is grounded, a common end of the resistor R1 and the resistor R2 is used as a detection point, and when a switch S1 is closed and a switch S2 is opened, a voltage value U1 of the detection point is obtained. Or the first end of the resistor R3 and the resistor R4 which are connected in series is connected with the cathode of the battery, the second end of the resistor R3 and the resistor R4 are grounded, the common end of the resistor R3 and the resistor R4 is taken as a detection point, and when the switch S2 is closed and the switch S1 is opened, the voltage value U2 of the detection point is obtained.
Step S20, calculating the time-dependent change trend of the voltage value from the first moment to the second moment before reaching the steady-state value.
In an optional embodiment of the present application, the step of calculating a trend of the voltage value over time from the first time to the second time before reaching the steady state value includes:
calculating the time-dependent change rate k of the voltage value from the first moment to the second moment; where k=Δu/(t) 2 -t 1 ) DeltaU is the time-dependent voltage value from the first moment to the second moment, t 1 For the first moment, t 2 Is the second moment. When the common end of the resistor R1 and the resistor R2 is taken as a detection point, deltaU is DeltaU 1; when the common terminal of the resistor R3 and the resistor R4 is used as the detection point, Δu is Δu2.
Wherein at a first time t 1 And a second time t 1 The main purpose of (a) is to select a time period during which the change in the voltage value U1 or U2 is determined, so that in theory the first instant t 1 And a second time t 2 As long as the voltage value U1 or U2 has not reached the final steady state value. However, since the time goes further, the voltage value U1 or U2 becomes flatter. Therefore, in general, t 1 Take the value 0, t 2 And taking the value tau=RC, wherein R is the battery ground insulation resistance, and C is the battery ground insulation capacitance. According to the circuit characteristics, 0-tau is the fastest voltage change, so the calculated change rate k is fast and accurate. Referring to FIG. 2, when the common terminal of the resistor R1 and the resistor R2 is used as a detection point, the battery ground insulation resistor R takes R X C is taken out from the battery ground insulation capacitor C X . When the common end of the resistor R3 and the resistor R4 is taken as a detection point, the battery insulation resistor R to the ground takes R Y C is taken out from the battery ground insulation capacitor C Y 。
In an optional embodiment of the present application, the step of calculating a trend of the voltage value over time from the first time to the second time before reaching the steady state value includes:
calculating an integral S of the voltage value from a first moment to a second moment along with time; wherein the method comprises the steps ofU is the voltage value, t 1 For the first moment, t 2 Is the second moment. When the common end of the resistor R1 and the resistor R2 is taken as a detection point, U is U1; when the common terminal of the resistor R3 and the resistor R4 is taken as a detection point, U is U2.
Similarly, in general, t 1 Take the value 0, t 2 And taking the value tau=RC, wherein R is the battery ground insulation resistance, and C is the battery ground insulation capacitance. According to the circuit characteristics, 0- τ is the fastest voltage change, thus calculatedThe integral S achieved is both fast and accurate.
Step S30, if the variation trend is lower than a preset first variation trend, a battery insulation abnormal signal is generated.
Wherein, the preset first variation trend means to assume a group of insulation resistances R to ground X And insulation resistance R to ground Y The assumed insulation resistance R to ground X And insulation resistance R to ground Y To consider that the current flowing through human body meets the standard requirement, a voltage change trend boundary is determined, and the ground insulation resistance R in practical application is determined according to the boundary X And insulation resistance R to ground Y Whether the requirements are met or not to judge the insulation performance of the battery.
Referring to fig. 3, a preset first variation trend may be obtained through a preliminary test, taking a common terminal of the resistor R1 and the resistor R2 as a detection point, and assuming that the battery is insulated from the ground by the resistor R X The curve of the change of U1 along with time t under the condition of the battery insulation resistance of 500 omega/V is obtained through experiments, and then the change rate k of U1 along with time tau under the condition of the battery insulation resistance of 500 omega/V can be obtained 500Ω/V Or the integral S of U1 over time τ 500Ω/V Will change the rate k 500Ω/V Or integral S 500Ω/V As a preset first trend. In addition, the first change trend can be preset by changing the insulation resistance R of the battery to the ground X Is adjusted to meet different application requirements.
In the actual detection process, theoretically, if the curve of the change of the U1 along with the time t falls on the lower side of the curve corresponding to the battery insulation resistance of 500 Ω/V in fig. 3, the battery insulation resistance is too small, the overcurrent is larger, and the personal safety is possibly threatened, and then a battery insulation abnormal signal is generated. Further, after the battery insulation abnormality signal is generated, the charging and discharging functions of the vehicle are controlled to be stopped, the high-voltage operation on the battery system is strictly forbidden, the insulation abnormality alarm is reported, and a terminal client or a maintenance person is reminded to maintain the vehicle.
The application adopts the step S20: calculating the time-dependent change rate of the voltage value from the first moment to the second moment before reaching the steady state valuek, or calculating the integral S of the voltage value from the first moment to the second moment along with time before reaching the steady state value, and comparing the change rate k with the change rate k 500Ω/V Compare or integrate S with integral S 500Ω/V In comparison, if the rate of change k is lower than the rate of change k 500Ω/V Or the integral S is lower than the integral S 500Ω/V A battery insulation abnormality signal is generated.
According to the battery insulation performance detection method, a voltage value of a detection point is firstly obtained, a time-dependent change trend from a first moment to a second moment before the voltage value reaches a steady state value is calculated, and finally the change trend is compared with a preset first change trend to generate a signal whether battery insulation is abnormal or not. The application can finish the detection of the insulating property of the battery before the voltage value of the detection point reaches the steady state value, and has short time consumption.
As an optional implementation manner, in an optional embodiment of the application, referring to fig. 4, after the step of calculating the trend of the voltage value from the first time to the second time before reaching the steady-state value, the method further includes:
and if the variation trend is higher than a preset second variation trend, generating a battery insulation normal signal. Wherein the preset second variation trend is larger than the preset first variation trend.
Wherein the second variation trend is to assume a group of insulation resistances R to ground X And insulation resistance R to ground Y The assumed insulation resistance R to ground X And insulation resistance R to ground Y Considering that the current flowing through the human body meets a very safe index, determining a voltage change trend boundary, and determining the ground insulation resistance R in practical application according to the boundary X And insulation resistance R to ground Y And (5) judging whether the battery is safe or not according to the index of safety.
Referring to fig. 3, a preset second trend may also be obtained by a preliminary test, taking the common terminal of the resistor R1 and the resistor R2 as a detection point, assuming that the battery is insulated from ground by the resistor R X A curve of U1 changing along with time t under the condition of 1500 omega/V of the insulation resistance of the battery to the ground is obtained through experimentsThe line can further obtain the change rate k of U1 along with time tau under the condition of 1500 omega/V of the insulation resistance of the battery to the ground 1500Ω/V Or the integral S of U1 over time τ 1500Ω/V Will change the rate k 1500Ω/V Or integral S 1500Ω/V As a preset second trend.
In the actual detection process, theoretically, if the curve of the change of U1 along with the time t falls on the upper side of the corresponding curve of the battery insulation resistance to ground 1500 Ω/V in fig. 3, a battery insulation normal signal is generated. The application adopts the step S20: calculating the time-dependent change rate k from the first time to the second time before the voltage value reaches the steady state value, or calculating the integral S from the first time to the second time before the voltage value reaches the steady state value, and comparing the change rate k with the change rate k 1500Ω/V Compare or integrate S with integral S 1500Ω/V In comparison, if the rate of change k is higher than the rate of change k 1500Ω/V Or the integral S is higher than the integral S 1500Ω/V And generating a battery insulation normal signal.
In addition, multiple sets of ground insulation resistances R can be assumed as needed X And insulation resistance R to ground Y And dividing the region between the preset second change trend and the preset first change trend by one step, and carrying out multi-level management on the battery insulation abnormal signals to meet different application scene requirements.
As an optional implementation manner, in an optional embodiment of the application, referring to fig. 4, after the step of calculating the trend of the voltage value from the first time to the second time before reaching the steady-state value, the method further includes:
and if the change trend is not higher than the preset second change trend and the change trend is not lower than the preset first change trend, generating a battery insulation abnormality warning signal.
In the actual detection process, theoretically, if the curve of the change of the U1 along with the time t falls between the corresponding curve of the battery insulation resistance to ground 500 Ω/V and the corresponding curve of the battery insulation resistance to ground 1500 Ω/V in fig. 3, a battery insulation abnormality warning signal is generated to remind a worker of insulation abnormality risk. The application adoptsStep S20: calculating the time-dependent change rate k from the first time to the second time before the voltage value reaches the steady state value, or calculating the integral S from the first time to the second time before the voltage value reaches the steady state value, and comparing the change rate k with the change rate k 500Ω/V And rate of change k 1500Ω/V Compare, or integrate S with, integral S 1500Ω/V Sum integral S 1500Ω/V In comparison, if the rate of change k is not higher than the rate of change k 1500Ω/V And not lower than the rate of change k 500Ω/V Or the integral S is not higher than the integral S 1500Ω/V And is not lower than integral S 500Ω/V And generating a battery insulation abnormality alarm signal.
Referring to fig. 5, an embodiment of the present application further provides a device for detecting insulation performance of a battery, the device including: an acquisition unit, a calculation unit and a generation unit.
The acquisition unit is used for acquiring the voltage value of the detection point.
The calculating unit is used for calculating the time-dependent change trend from the first moment to the second moment before the voltage value reaches the steady-state value.
And the generating unit is used for generating a battery insulation abnormal signal if the change trend is lower than a preset first change trend.
According to the battery insulation performance detection device, a voltage value of a detection point is firstly obtained, a time-dependent change trend from a first moment to a second moment before the voltage value reaches a steady state value is calculated, and finally the change trend is compared with a preset first change trend to generate a signal whether battery insulation is abnormal or not. The application can finish the detection of the insulating property of the battery before the voltage value of the detection point reaches the steady state value, and has short time consumption.
It should be noted that, for convenience and brevity of description, the specific operation process of the above-described apparatus and units may refer to the corresponding process in the foregoing embodiment of the battery insulation performance detection method, which is not described herein again.
The battery insulation performance detection apparatus provided by the above-described embodiment may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 6.
The embodiment of the application also provides computer equipment, which comprises: the battery insulation performance detection method comprises a memory, a processor and a network interface which are connected through a system bus, wherein at least one instruction is stored in the memory, and the processor loads and executes the at least one instruction to realize all or part of the steps of the battery insulation performance detection method.
Wherein the network interface is used for network communication, such as sending assigned tasks, etc. It will be appreciated by those skilled in the art that the structure shown in FIG. 6 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
The processor may be a CPU, but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic device discrete hardware components, or the like. A general purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like, that is a control center for a computer device, with various interfaces and lines connecting various parts of the entire computer device.
The memory may be used to store computer programs and/or modules, and the processor implements various functions of the computer device by running or executing the computer programs and/or modules stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for at least one function (such as a video playing function, an image playing function, etc.), and the like; the storage data area may store data (such as video data, image data, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid state storage device.
Wherein in one embodiment the processor is configured to run a computer program stored in the memory to implement the steps of:
step S10, obtaining the voltage value of the detection point.
Step S20, calculating the time-dependent change trend of the voltage value from the first moment to the second moment before reaching the steady-state value.
Step S30, if the variation trend is lower than a preset first variation trend, a battery insulation abnormal signal is generated.
As an optional implementation manner, in an embodiment of the present application, the step of calculating a time-varying trend from a first time to a second time before the voltage value reaches a steady-state value includes:
calculating the time-dependent change rate k of the voltage value from the first moment to the second moment; where k=Δu/(t) 2 -t 1 ) DeltaU is the time-dependent voltage value from the first moment to the second moment, t 1 For the first moment, t 2 Is the second moment.
As an optional implementation manner, in an embodiment of the present application, the step of calculating a time-varying trend from a first time to a second time before the voltage value reaches a steady-state value includes:
calculating an integral S of the voltage value from a first moment to a second moment along with time; wherein the method comprises the steps ofU is the voltage value, t 1 For the first moment, t 2 Is the second moment.
As an alternative embodiment, in one inventive example, t 1 Take the value 0, t 2 And taking the value tau=RC, wherein R is the battery ground insulation resistance, and C is the battery ground insulation capacitance.
As an optional implementation manner, in an embodiment of the present application, after the step of calculating the trend of the voltage value from the first time to the second time before reaching the steady state value, the method further includes:
if the variation trend is higher than a preset second variation trend, generating a battery insulation normal signal; wherein the preset second variation trend is larger than the preset first variation trend.
As an optional implementation manner, in an embodiment of the present application, after the step of calculating the trend of the voltage value from the first time to the second time before reaching the steady state value, the method further includes:
and if the change trend is not higher than the preset second change trend and the change trend is not lower than the preset first change trend, generating a battery insulation abnormality warning signal.
As an optional implementation manner, in an embodiment of the present application, the step of obtaining a voltage value of the detection point includes:
and connecting the first ends of the two resistors connected in series with the positive electrode or the negative electrode of the battery, and grounding the second end, wherein the common end of the two resistors is used as the detection point.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements all or part of the steps of the battery insulation performance detection method described above.
The foregoing embodiments of the present application may be implemented in whole or in part by computer program instructions for implementing the relevant hardware, and the computer program may be stored in a computer readable storage medium, where the computer program when executed by a processor may implement the steps of the methods described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-Only memory (ROM), a random access memory (Random Access memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, server, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above numbers in the embodiments of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is only a specific embodiment of the application to enable those skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A battery insulation performance detection method, characterized by comprising the steps of:
acquiring a voltage value of a detection point;
calculating the time-dependent change trend of the voltage value from the first moment to the second moment before reaching the steady-state value;
and if the change trend is lower than a preset first change trend, generating a battery insulation abnormal signal.
2. The battery insulation performance detection method according to claim 1, wherein the step of calculating a trend of change with time from a first time to a second time before the voltage value reaches a steady-state value includes:
calculating the time-dependent change rate k of the voltage value from the first moment to the second moment; where k=Δu/(t) 2 -t 1 ) DeltaU is the time-dependent voltage value from the first moment to the second moment, t 1 For the first moment, t 2 For the second moment。
3. The battery insulation performance detection method according to claim 1, wherein the step of calculating a trend of change with time from a first time to a second time before the voltage value reaches a steady-state value includes:
calculating an integral S of the voltage value from a first moment to a second moment along with time; wherein the method comprises the steps ofU is the voltage value, t 1 For the first moment, t 2 Is the second moment.
4. The battery insulation performance detection method according to claim 2 or 3, wherein t 1 Take the value 0, t 2 And taking the value tau=RC, wherein R is the battery ground insulation resistance, and C is the battery ground insulation capacitance.
5. The battery insulation performance detection method according to claim 1, wherein after the step of calculating the trend of the voltage value over time from the first time to the second time before reaching the steady-state value, further comprising:
if the variation trend is higher than a preset second variation trend, generating a battery insulation normal signal; wherein the preset second variation trend is larger than the preset first variation trend.
6. The battery insulation performance detection method according to claim 5, wherein after the step of calculating the trend of the voltage value over time from the first time to the second time before reaching the steady-state value, further comprising:
and if the change trend is not higher than the preset second change trend and the change trend is not lower than the preset first change trend, generating a battery insulation abnormality warning signal.
7. The battery insulation performance detection method according to claim 1, wherein the step of acquiring the voltage value of the detection point includes:
and connecting the first ends of the two resistors connected in series with the positive electrode or the negative electrode of the battery, and grounding the second end, wherein the common end of the two resistors is used as the detection point.
8. A battery insulation performance detection device, characterized by comprising:
the acquisition unit is used for acquiring the voltage value of the detection point;
the calculating unit is used for calculating the time-dependent change trend from the first moment to the second moment before the voltage value reaches the steady-state value;
and the generating unit is used for generating a battery insulation abnormal signal if the change trend is lower than a preset first change trend.
9. A computer device, comprising: a memory and a processor, the memory storing at least one instruction therein, the at least one instruction loaded and executed by the processor to implement the battery insulation performance detection method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized by: the computer-readable storage medium stores computer instructions that, when executed by a computer, cause the computer to perform the battery insulation performance detection method of any one of claims 1 to 7.
CN202310677334.1A 2023-06-08 2023-06-08 Battery insulation performance detection method, device, equipment and readable storage medium Pending CN116859267A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117452276A (en) * 2023-12-15 2024-01-26 深圳市力生美半导体股份有限公司 Switch power supply performance test method and device and switch power supply

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117452276A (en) * 2023-12-15 2024-01-26 深圳市力生美半导体股份有限公司 Switch power supply performance test method and device and switch power supply

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