A lithium battery charging and discharging control method and system based on a lithium battery protection board

Abstract

The present application relates to the field of charge and discharge control technology, and specifically to a lithium battery charge and discharge control method and system based on a lithium battery protection board, the method comprising: obtaining current, voltage and temperature data at each sampling moment during the charge and discharge process of the lithium battery; calculating the heat change intensity at each sampling moment according to the temperature difference, and then calculating the temperature change coefficient at each sampling moment; and combining the correlation between current and voltage to obtain the state balance of the lithium battery at each sampling moment; analyzing the difference in state balance to determine the impedance strength of the lithium battery at each sampling moment; finally obtaining the abnormal fault monitoring value of the lithium battery at each sampling moment; performing abnormal detection on the abnormal fault monitoring values ​​at all sampling moments, judging whether the lithium battery has an abnormal fault at each sampling moment, so as to control the charge and discharge process of the lithium battery. The present application can realize the protection of lithium batteries.

Description

Technical Field

[0001] The present application relates to the technical field of charge and discharge control, and in particular to a lithium battery charge and discharge control method and system based on a lithium battery protection board. Background Art

[0002] Lithium batteries are generally energy storage devices that power modern portable electronic devices and electric vehicles. However, there are certain safety risks in the process of charging and discharging lithium batteries, such as overvoltage, overcurrent, short circuit and other abnormal phenomena, which can easily lead to abnormal stability of the internal circuit of the lithium battery, and even cause drastic changes in the internal temperature of the lithium battery, resulting in serious consequences such as fire. As a key component to ensure the safe operation of lithium batteries, the lithium battery protection board plays a vital role in the process of charging and discharging lithium batteries.

[0003] By monitoring the charging and discharging states of lithium batteries during the charging and discharging process, when the charging and discharging states of lithium batteries are abnormal, the lithium battery protection board will shut down the charging circuit or the discharging circuit to achieve safety protection for lithium batteries. However, the lithium battery protection board in the prior art only controls the charging and discharging based on the instantaneous current and voltage in the lithium battery, and lacks analysis of abnormal faults in the charging and discharging states of lithium batteries, which easily leads to the lithium battery protection board being unable to promptly and effectively shut down the charging circuit or the discharging circuit, thereby causing the internal temperature of the lithium battery to be too high and causing permanent damage. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a lithium battery charging and discharging control method and system based on a lithium battery protection board. The technical solutions adopted are as follows:

[0005] The present application provides a lithium battery charge and discharge control method based on a lithium battery protection board, comprising the following steps:

[0006] Obtain the current, voltage and temperature data at each sampling moment during the charging and discharging process of the lithium battery;

[0007] The heat change intensity at each sampling moment is calculated according to the temperature difference in the local time set at each sampling moment; the temperature change coefficient at each sampling moment is obtained by combining the heat change intensity at each sampling moment and the discrete degree of the heat change intensity at all sampling moments in its local time set;

[0008] According to the temperature variation coefficient and in combination with the correlation between the current and the voltage, the state balance degree of the lithium battery at each sampling moment is obtained; the difference in the state balance degrees of adjacent sampling moments in the local time set of each sampling moment is analyzed to determine the impedance strength of the lithium battery at each sampling moment;

[0009] Obtaining abnormal fault monitoring values ​​of the lithium battery at each sampling moment based on the state balance degree and impedance action intensity at each sampling moment;

[0010] The abnormal fault monitoring values ​​at all sampling moments are detected to determine whether the lithium battery has an abnormal fault at each sampling moment, so as to control the charging and discharging process of the lithium battery.

[0011] Preferably, the local time set of each sampling time is a set consisting of multiple sampling time before each sampling time.

[0012] Preferably, the calculation formula for the heat change intensity at each sampling moment is: , where is the heat change intensity at sampling time t, is the number of sampling moments in the local time set of sampling moment t, and They are the g-th and m-th temperature data in the temperature change sequence at sampling time t, respectively. The temperature change sequence is composed of the temperatures of all sampling times in the local time set arranged in chronological order.

[0013] Preferably, the calculation formula of the temperature variation coefficient at each sampling moment is: , where is the temperature variation coefficient at sampling time t, is an exponential function with a natural constant as base, It is the discrete coefficient of the heat change intensity at all sampling moments in the local time set of sampling moment t.

[0014] Preferably, the calculation formula for the state balance degree of the lithium battery at each sampling time is: , where is the state balance of the lithium battery at sampling time t, is the Pearson correlation coefficient, and They are the current change sequence and voltage change sequence at sampling time t, respectively. The current and voltage change sequences are composed of the current and voltage at all sampling times in the local time set at sampling time t, arranged in chronological order. To avoid values ​​with a denominator of zero.

[0015] Preferably, the calculation formula for the impedance strength of the lithium battery at each sampling moment is: , where is the impedance intensity of the lithium battery at sampling time t, is the number of sampling moments in the local time set of sampling moment t, and They are respectively the state balance degrees at the jth and j-1th sampling moments in the local time set of sampling moment t.

[0016] Preferably, the calculation formula of the abnormal fault monitoring value of the lithium battery at each sampling time is: , where is the abnormal fault monitoring value, state balance and impedance intensity of the lithium battery at sampling time t, is the normalization function.

[0017] Preferably, the determining whether an abnormal fault occurs in the lithium battery at each sampling moment includes: using an abnormal detection algorithm to obtain an abnormal detection result of an abnormal fault monitoring value at each sampling moment, and determining that an abnormal fault occurs in the internal charging and discharging of the lithium battery at the sampling moment corresponding to the abnormal point, otherwise, no abnormal fault occurs in the internal charging and discharging of the lithium battery.

[0018] Preferably, the control of the charging and discharging process of the lithium battery further includes:

[0019] If the current sampling time is not an abnormal point, the charging or discharging state of the lithium battery continues to be maintained; otherwise, the lithium battery protection board is controlled to shut down the charging circuit or the discharging circuit.

[0020] An embodiment of the present application also provides a lithium battery charge and discharge control system based on a lithium battery protection board, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of any one of the above-mentioned lithium battery charge and discharge control methods based on a lithium battery protection board are implemented.

[0021] From the above, it can be seen that the lithium battery charging and discharging control method and system based on the lithium battery protection board provided by the present application has at least the following beneficial effects:

[0022] The present application takes into account the lithium battery protection board in the prior art, which only controls the charging and discharging based on the instantaneous current and voltage in the lithium battery, and lacks analysis of abnormal faults in the charging and discharging status of the lithium battery, which can easily lead to the lithium battery protection board being unable to promptly and effectively shut down the charging circuit or the discharging circuit, thereby causing the internal temperature of the lithium battery to be too high and causing permanent damage. Therefore, the present invention analyzes the internal heat change characteristics during the charging and discharging process of the lithium battery, and uses the heat change intensity to construct a temperature change coefficient to reflect the temperature balance characteristics during the charging and discharging process of the lithium battery, so that the balance state maintained by the internal circuit of the battery can be accurately measured later, and abnormal faults in the charging and discharging state of the lithium battery can be more accurately identified; based on the analysis of the balance characteristics of the internal state of the lithium battery and the impedance characteristics of the resistor, the state balance degree and the impedance action strength are respectively constructed to reflect the stable characteristics of the internal circuit of the lithium battery and the impedance effect of the resistor; further, the state balance degree and the impedance action strength are used to analyze the abnormal faults in the charging and discharging state of the lithium battery, and an abnormal fault monitoring value is constructed, and an abnormal detection algorithm is used to identify abnormal faults in the charging and discharging of the lithium battery based on the abnormal fault monitoring value, so as to achieve more timely and effective closure of the charging circuit or the discharging circuit, and avoid the problem of permanent damage caused by excessive internal temperature of the lithium battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 A flowchart of the steps of a lithium battery charging and discharging control method based on a lithium battery protection board provided in this application;

[0025] Figure 2 Schematic diagram of temperature data distribution before and after processing by the Kalman filter algorithm provided in this application;

[0026] Figure 3 A schematic diagram of the abnormal detection results of abnormal fault monitoring values ​​at all sampling moments provided in this application. DETAILED DESCRIPTION

[0027] In order to further explain the technical means and effects adopted by this application to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, characteristics and effects of a lithium battery charge and discharge control method and system based on a lithium battery protection board proposed in this application in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0028] Unless otherwise specified and limited, terms such as "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such articles or devices. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the article or device including the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of this application.

[0029] The following is a detailed description of a specific scheme of a lithium battery charging and discharging control method and system based on a lithium battery protection board provided by the present application in conjunction with the accompanying drawings.

[0030] See also Figure 1 , which shows a flow chart of a lithium battery charge and discharge control method based on a lithium battery protection board provided by an embodiment of the present application, comprising the following steps:

[0031] Step 1: Obtain the current, voltage and temperature data at each sampling moment during the charging and discharging process of the lithium battery.

[0032] The purpose of this embodiment is to analyze the abnormal faults in the charging and discharging state of the lithium battery more accurately, and based on the detection results of the abnormal faults in the charging and discharging state, enable the lithium battery protection board to promptly and effectively shut down the charging circuit or the discharging circuit to avoid permanent damage caused by excessive internal temperature of the lithium battery.

[0033] The lithium battery protection board includes a current detection unit, a voltage detection unit, a temperature detection unit and a charge and discharge control unit. During the charge and discharge process of the lithium battery, the current detection unit is used to detect the current of the internal circuit of the lithium battery; the voltage detection unit is used to detect the voltage of the internal circuit of the lithium battery; the temperature detection unit is used to detect the temperature of the lithium battery; the charge and discharge control unit is used to control the switch of the charging circuit or the discharging circuit in the lithium battery;

[0034] During the charging and discharging process of the lithium battery, the charging and discharging status data are sampled in real time through various detection units in the lithium battery protection board. The charging and discharging status data in this embodiment includes current, voltage and temperature data, and the data sampling frequency is 10Hz. In this embodiment, the charging and discharging status data is preprocessed, and a set consisting of the K sampling moments with the closest time intervals between each sampling moment is recorded as the local moment set of each sampling moment.

[0035] In order to reduce the interference error caused by external noise to the charge and discharge state data, the Kalman filter algorithm is used to filter the charge and discharge state data at each sampling moment. Further, the charge and discharge state data of all sampling moments in the local moment set of each sampling moment are sequenced in chronological order, which is recorded as the charge and discharge state change sequence of each sampling moment. In this embodiment, K is 100; the charge and discharge state change sequence includes a current change sequence, a voltage change sequence and a temperature change sequence, wherein the Kalman filter algorithm is a well-known technology, and the specific process is not repeated here.

[0036] Specifically, the temperature data distribution diagram before and after Kalman filter processing is as follows: Figure 2 As shown, Figure 2 The middle grey solid line is the temperature distribution of the temperature sequence composed of the temperature data at all sampling moments before the Kalman filter algorithm is filtered, and the black solid line is the temperature distribution of the temperature change sequence obtained after the Kalman filter algorithm is filtered.

[0037] Step 2: Calculate the heat change intensity at each sampling moment based on the temperature difference in the local time set of each sampling moment; combine the heat change intensity at each sampling moment and the discrete degree of the heat change intensity of all sampling moments in its local time set to obtain the temperature change coefficient at each sampling moment.

[0038] Normally, during the charging and discharging process of lithium batteries, the surface temperature of the battery will increase over time. Since the high temperature tolerance of lithium batteries is limited, the electronic components inside the battery are easily affected by the temperature and fail, resulting in drastic changes in temperature in a local time and potential safety hazards. For example, during the charging and discharging process of lithium batteries, if the charging current or discharging current inside the lithium battery is too large, it is easy to cause excessive heat to be generated inside the lithium battery, causing the temperature of the lithium battery to change drastically, thereby causing damage to the lithium battery.

[0039] Based on the above analysis, the characteristics of the heat change inside the lithium battery are evaluated and the heat change intensity of the lithium battery at the sampling time t is calculated:

[0040] , where is the heat change intensity of the lithium battery at sampling time t, is the number of sampling moments in the local time set of sampling moment t, and They are the g-th and m-th temperature data in the temperature change sequence at sampling time t. The greater the difference between the g-th and m-th temperatures in the temperature change sequence, the stronger the heat change in the lithium battery at the sampling time, and the easier it is to generate a higher temperature and cause permanent damage to the lithium battery, and the greater the intensity of the heat change.

[0041] At the same time, the intensity of heat change reflects the characteristics of heat change in the lithium battery at different times. If the concentration trend of heat change in a local short time is smaller, that is, the distribution of heat change intensity in a local short time is more discrete, it can better reflect the characteristics of drastic temperature changes in the local short time range at the sampling moment.

[0042] In order to analyze the characteristics of the drastic temperature change on the lithium battery in a local short time before each sampling moment, in this embodiment, the distribution of the heat change intensity at all sampling moments in the local time set of each sampling moment is analyzed, and based on this, the temperature change coefficient of the lithium battery temperature at the sampling moment t is calculated:

[0043] , where is the temperature variation coefficient at sampling time t, is an exponential function with a natural constant as base, is the discrete coefficient of the heat change intensity at all sampling moments in the local time set of sampling moment t. The calculation of the discrete coefficient is a well-known technology, and the specific process is not repeated here. The larger the discrete coefficient and the greater the heat change intensity, the smaller the concentrated distribution characteristics of the heat change characteristics inside the lithium battery in the local short time range between the sampling moments and the higher the heat change intensity, the more it can reflect the drastic change characteristics of the temperature on the lithium battery at this time, and the greater the temperature change coefficient.

[0044] Step three: According to the temperature variation coefficient and in combination with the correlation between current and voltage, the state balance degree of the lithium battery at each sampling moment is obtained; the difference in the state balance degree of adjacent sampling moments in the local time set of each sampling moment is analyzed to determine the impedance intensity of the lithium battery at each sampling moment.

[0045] Normally, if a lithium battery is in a stable charge and discharge state, the internal resistance of the lithium battery plays a stable current limiting role. At this time, the current and voltage of the internal circuit of the lithium battery have a stable correlation. However, when an abnormal fault occurs in the charge and discharge state of the lithium battery, the correlation between the two will be destroyed, and the temperature of the lithium battery will change dramatically. At this time, the worse the balance state maintained by the internal circuit of the lithium battery, the stronger the abnormal fault characteristics of the charge and discharge state of the lithium battery.

[0046] Based on the above analysis, the state balance of the lithium battery at sampling time t is calculated:

[0047] , where is the state balance of the lithium battery at sampling time t, is the Pearson correlation coefficient, and They are respectively the current change sequence and voltage change sequence at sampling time t, is the current change sequence and voltage change sequence The Pearson correlation coefficient between In order to avoid the value of zero in the denominator, the value is taken as 0.1 in this embodiment. The smaller the Pearson correlation coefficient and the larger the temperature variation coefficient, the weaker the correlation between the internal current and voltage of the lithium battery during charging or discharging and the more drastic the temperature change on the lithium battery. At this time, it can be explained that the balance state maintained by the internal circuit of the lithium battery is worse, and the state balance degree is smaller.

[0048] If the change in the internal balance state of the lithium battery during the charge and discharge process is greater, it means to a certain extent that the current limiting effect of the internal resistance of the lithium battery is smaller as the temperature changes drastically. That is, the resistance impedance effect in the internal circuit of the lithium battery is reduced, which makes it easier to cause abnormal phenomena such as overvoltage, overcurrent, and short circuit in the internal circuit of the lithium battery.

[0049] Based on the above analysis, the impedance intensity of the internal resistance of the lithium battery in the local short time before the sampling time t is calculated:

[0050] , where is the impedance intensity at sampling time t, is the number of sampling moments in the local time set of sampling moment t, and They are the state balance degrees at the jth and j-1th sampling moments in the local time set of sampling moment t. The greater the difference in the change of the state balance degree between sampling moments, the smaller the current limiting effect of the resistor in the internal circuit of the lithium battery, that is, the lower the impedance effect of the resistor, the smaller the impedance effect intensity.

[0051] Step 4: Obtain the abnormal fault monitoring value of the lithium battery at each sampling moment based on the state balance degree and impedance action intensity at each sampling moment.

[0052] Furthermore, if the impedance strength of the resistance in the lithium battery in the local short time before the sampling time t is smaller, and the state balance of the lithium battery at the sampling time t is smaller, the lithium battery is more likely to have abnormal faults such as overvoltage, overcurrent, and short circuit. Therefore, this embodiment uses the impedance strength and state balance to construct abnormal fault monitoring values, and detects abnormal data of abnormal fault monitoring values ​​at different times to identify abnormal faults in the charging and discharging state of the lithium battery, so that the lithium battery protection board can timely and effectively shut down the charging circuit or the discharging circuit to avoid permanent damage caused by excessive internal temperature of the lithium battery.

[0053] Based on the above analysis, the abnormal fault monitoring value of the lithium battery at the sampling time t is calculated:

[0054] , where is the abnormal fault monitoring value of the lithium battery at sampling time t, is a normalized function. During the charging and discharging process of the lithium battery, the smaller the state balance of the lithium battery and the smaller the impedance strength of the internal resistance of the lithium battery, the more likely it is to have abnormal faults such as overvoltage, overcurrent, and short circuit, and the larger the abnormal fault monitoring value.

[0055] Step 5: Perform abnormal detection on the abnormal fault monitoring values ​​at all sampling moments to determine whether the lithium battery has an abnormal fault at each sampling moment, so as to control the charging and discharging process of the lithium battery.

[0056] In order to detect abnormal faults during the charging and discharging process of the lithium battery, the abnormal fault monitoring value of the lithium battery at the sampling time t and the abnormal fault monitoring values ​​of the lithium batteries at all sampling times in the local time set of the sampling time t are input into the LOF (Local Outlier Factor) abnormality detection algorithm. In this embodiment, the neighborhood parameter value in the algorithm is 10, and the abnormality detection algorithm outputs the abnormal detection results of the abnormal fault monitoring values ​​of the lithium batteries at all sampling times. The LOF abnormality detection algorithm is a well-known technology, and the specific process will not be repeated.

[0057] Specifically, in this embodiment, the abnormal detection result diagram of the abnormal fault monitoring value is as follows: Figure 3 As shown, Figure 3 The squares in the middle are abnormal points, and the circles are normal points.

[0058] If the abnormal detection result shows that the abnormal fault monitoring value of the lithium battery at the sampling time t does not belong to an abnormal point, it is determined that there is no abnormal fault in the internal charging and discharging of the lithium battery at the sampling time t, and the charging or discharging process of the lithium battery continues at this time;

[0059] If the abnormal detection result shows that the abnormal fault monitoring value of the lithium battery at sampling time t is an abnormal point, it is determined that an abnormal fault occurs in the internal charging and discharging of the lithium battery at sampling time t. At the same time, if this is the charging process of the lithium battery, the lithium battery protection board is controlled to shut down the charging circuit, and if this is the discharging process of the lithium battery, the lithium battery protection board is controlled to shut down the discharging circuit, thereby avoiding permanent damage caused by excessive internal temperature of the lithium battery. Then, the maintenance personnel repair the abnormal fault of the lithium battery to ensure the performance and safety of the lithium battery.

[0060] Based on the same inventive concept as the above method, an embodiment of the present application also provides a lithium battery charge and discharge control system based on a lithium battery protection board, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of any one of the above-mentioned lithium battery charge and discharge control methods based on a lithium battery protection board are implemented.

[0061] It is to be understood that the sequence of the embodiments of the present application described above is for description only and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of the present specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0062] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0063] The above content is only an implementation method of the present application and is not intended to limit the scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the protection scope of the present application.

Claims

1. A lithium battery charge and discharge control method based on a lithium battery protection board, characterized in that: The following steps are involved: Obtain the current, voltage and temperature data at each sampling moment during the charging and discharging process of the lithium battery; The heat change intensity at each sampling moment is calculated according to the temperature difference in the local time set at each sampling moment; the temperature change coefficient at each sampling moment is obtained by combining the heat change intensity at each sampling moment and the discrete degree of the heat change intensity at all sampling moments in its local time set; According to the temperature variation coefficient and in combination with the correlation between the current and the voltage, the state balance degree of the lithium battery at each sampling moment is obtained; the difference in the state balance degrees of adjacent sampling moments in the local time set of each sampling moment is analyzed to determine the impedance strength of the lithium battery at each sampling moment; Obtaining abnormal fault monitoring values ​​of the lithium battery at each sampling moment based on the state balance degree and impedance action intensity at each sampling moment; Perform abnormal detection on the abnormal fault monitoring values ​​at all sampling moments to determine whether the lithium battery has abnormal faults at each sampling moment, so as to control the charging and discharging process of the lithium battery; The calculation formula for the heat change intensity at each sampling moment is: , where is the heat change intensity at sampling time t, is the number of sampling moments in the local time set of sampling moment t, and are the g-th and m-th temperature data in the temperature change sequence at sampling time t, respectively, where the temperature change sequence is composed of the temperatures of all sampling times in the local time set arranged in chronological order; The calculation formula of the temperature variation coefficient at each sampling time is: , where is the temperature variation coefficient at sampling time t, is an exponential function with a natural constant as base, is the discrete coefficient of the heat change intensity at all sampling moments in the local time set of sampling moment t; The calculation formula of the state balance degree of the lithium battery at each sampling time is: , where is the state balance of the lithium battery at sampling time t, is the Pearson correlation coefficient, and They are the current change sequence and voltage change sequence at sampling time t, respectively. The current and voltage change sequences are composed of the current and voltage at all sampling times in the local time set at sampling time t, arranged in chronological order. To avoid values ​​with a denominator of zero; The calculation formula of the impedance intensity of the lithium battery at each sampling time is: , where is the impedance intensity of the lithium battery at sampling time t, is the number of sampling moments in the local time set of sampling moment t, and They are respectively the state balance degrees at the jth and j-1th sampling moments in the local time set of sampling moment t.

2. A lithium battery charge and discharge control method based on a lithium battery protection board as claimed in claim 1, characterized in that: The local time set of each sampling time is a set consisting of multiple sampling time before each sampling time.

3. A lithium battery charge and discharge control method based on a lithium battery protection board as claimed in claim 1, characterized in that: The calculation formula of the abnormal fault monitoring value of the lithium battery at each sampling time is: , where is the abnormal fault monitoring value, state balance and impedance intensity of the lithium battery at sampling time t, is the normalization function.

4. A lithium battery charge and discharge control method based on a lithium battery protection board as claimed in claim 1, characterized in that: The determining whether an abnormal fault occurs in the lithium battery at each sampling moment includes: using an abnormal detection algorithm to obtain an abnormal detection result of an abnormal fault monitoring value at each sampling moment, and determining that an abnormal fault occurs in the internal charging and discharging of the lithium battery at the sampling moment corresponding to the abnormal point, otherwise, no abnormal fault occurs in the internal charging and discharging of the lithium battery.

5. A lithium battery charge and discharge control method based on a lithium battery protection board as claimed in claim 4, characterized in that: The control of the lithium battery charging and discharging process further includes: If the current sampling time is not an abnormal point, the charging or discharging state of the lithium battery continues to be maintained; otherwise, the lithium battery protection board is controlled to shut down the charging circuit or the discharging circuit.

6. A lithium battery charge and discharge control system based on a lithium battery protection board, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of a lithium battery charging and discharging control method based on a lithium battery protection board as described in any one of claims 1-5 are implemented.

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