A lithium battery management system

Abstract

The present invention discloses a lithium battery management system, and relates to the technical field of battery management. The present invention comprises: a lithium battery status acquisition module, a power supply mode abnormality analysis module, a lithium battery power supply analysis module, a lithium battery processing module and a local database. The present invention judges whether the power supply mode switching of each lithium battery of a switch is normal, thereby screening each lithium battery whose power supply mode switching function has failed. For each lithium battery whose power supply mode switching function can still be used, by analyzing the mode switching time of each lithium battery and the voltage and current when supplying power to a chip, and combining the data of the chip corresponding to each lithium battery, each lithium battery whose power supply poses a greater threat to the chip is screened, and each lithium battery with abnormal function is integrated and summarized, and sent to a person in charge of switch maintenance, thereby facilitating the person in charge of switch maintenance to replace the lithium battery and ensuring the data security of the switch.

Description

Technical Field

[0001] The present invention relates to the technical field of battery management, and in particular to a lithium battery management system. Background Art

[0002] Since switches need to work for a long time, they have a high demand for a stable supply of working voltage. In actual applications, switches often have built-in lithium batteries to power each internal chip separately. It is necessary to ensure that the lithium batteries inside the switch can work normally to prevent the chip from losing data due to power outages or unstable voltage. Therefore, it is necessary to manage the lithium batteries of the switch.

[0003] Prior art, such as a lithium battery management system disclosed in the invention patent application with announcement number: CN108808137B, includes: through a current sampling module, the main current is converted into a voltage signal and sent to a battery SOC estimation module. According to the preset compensation coefficient and rated capacity, etc., the SOC value is obtained, and a Kalman filter is performed on it to obtain a more accurate SOC value, and the SOC value is displayed through a data display module. This invention adopts a specific SOC calculation circuit structure to improve the accuracy of data sampling. At the same time, the present invention has a simple structure, low cost, and is easy to mass produce.

[0004] Prior art, such as a lithium battery management system disclosed in an invention patent application with announcement number: CN106684476B, includes: a DC Hall sensor module sends the collected current signal to a microcontroller module and a battery remaining capacity calculation module respectively; the battery remaining capacity calculation module processes the obtained voltage signal and current signal, and sends the calculated battery pack remaining capacity information to the microcontroller module; the battery remaining capacity is checked through an external display device; the specific circuit structure of the battery remaining capacity calculation module improves the accuracy of measuring the battery remaining capacity; and this invention has a simple structure, low cost, and is easy to mass produce.

[0005] It can be seen from the above scheme that the current switch lithium battery management system usually only pays attention to data such as the heat and capacity of the lithium battery itself, and lacks certain attention to the mode switching time of the lithium battery passing through the switch and the voltage and current when the chip is powered to determine whether the lithium battery needs to be replaced. In the actual application of the switch, on the one hand, the supply voltage and supply current values ​​required by each chip are different. On the other hand, when the external supply voltage is less than the required rated value, the lithium battery starts to power each chip by switching the mode. The lithium battery in the switch is prone to the situation that the data of the lithium battery itself is normal, but it is slow to respond to the mode switching, and the power supply voltage and current to each chip will endanger the chip, thereby endangering the data security of the switch. Summary of the invention

[0006] The purpose of the present invention is to provide a lithium battery management system that solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a lithium battery management system, including: a lithium battery status acquisition module, which is used to obtain the power supply voltage value of the external power supply of the switch at each monitoring time point, the application mode of each lithium battery, and screen the lithium battery charging monitoring time point and the lithium battery power supply monitoring time point of the switch, so as to screen the switching analysis lithium batteries and the switching normal lithium batteries of the switch.

[0008] The power supply mode abnormality analysis module is used to screen each switching abnormal lithium battery and each switching failure lithium battery of the switch, and analyze the mode switching delay abnormality coefficient of each switching abnormal lithium battery of the switch.

[0009] The lithium battery power supply analysis module is used to obtain the supply voltage value and supply current value of the chip corresponding to each normal lithium battery and each abnormal lithium battery of the switch at each lithium battery power supply monitoring time point, and screen the failed lithium batteries of the switch.

[0010] The lithium battery processing module is used to count the replaced lithium batteries of the switch, obtain the serial number of each lithium battery of the switch, and send the serial number of each replaced lithium battery of the switch to the person in charge of switch maintenance.

[0011] Preferably, the specific screening method for screening each lithium battery charging monitoring time point and each lithium battery power supply monitoring time point of the switch is: obtaining a power supply voltage value threshold from a local database.

[0012] The supply voltage value of the external power supply of the switch at each monitoring time point is compared with the supply voltage value threshold. If the supply voltage value of the external power supply of the switch at a certain monitoring time point is less than the supply voltage value threshold, the monitoring time point is marked as a lithium battery power supply monitoring time point. Otherwise, the monitoring time point is marked as a lithium battery charging monitoring time point, thereby screening the lithium battery charging monitoring time points and the lithium battery power supply monitoring time points of the switch.

[0013] Preferably, the specific screening method for screening each switching analysis lithium battery and each switching normal lithium battery of the switch is: based on the application mode of each lithium battery at each monitoring time point of the switch, extract the application mode of each lithium battery of the switch at each lithium battery charging monitoring time point, and extract the application mode of each lithium battery of the switch at each lithium battery power supply monitoring time point.

[0014] If the application mode of a certain lithium battery of the switch at a certain lithium battery charging monitoring time point is the discharge mode, the lithium battery is marked as a switching analysis lithium battery.

[0015] If the application mode of a certain lithium battery of the switch at a certain lithium battery power supply monitoring time point is the charging mode, the lithium battery is marked as a switching analysis lithium battery.

[0016] If the application mode of a lithium battery of the switch at each lithium battery power supply monitoring time point is the discharge mode, and the application mode of the lithium battery of the switch at each lithium battery charging monitoring time point is the charging mode, then the lithium battery is marked as a normal switching lithium battery, thereby screening the normal switching lithium batteries of the switch.

[0017] Summarize the analysis battery of each switch and the normal battery of each switch of the switch.

[0018] Preferably, the specific screening method for screening each switching abnormal lithium battery and each switching failed lithium battery of the switch is: according to each lithium battery charging monitoring time point and each lithium battery power supply monitoring time point of the switch, analyzing each lithium battery charging monitoring time period and each lithium battery power supply monitoring time period of the switch.

[0019] According to the application mode of each lithium battery of the switch at each monitoring time point, the application mode of each switch analysis of the lithium battery at each monitoring time point in each lithium battery charging monitoring time period is extracted, and the application mode of each switch analysis of the lithium battery at each monitoring time point in each lithium battery power supply monitoring time period is extracted.

[0020] If the application mode of the switch at each monitoring time point of a switching analysis lithium battery in a lithium battery charging monitoring time period is the discharge mode, the switching analysis lithium battery is marked as a switching failure lithium battery.

[0021] If the application mode of the switch at each monitoring time point of a switching analysis lithium battery in a lithium battery discharge monitoring time period is the charging mode, the switching analysis lithium battery is marked as a switching failure lithium battery.

[0022] If the application mode of a switching analysis lithium battery of the switch at each monitoring time point in each lithium battery discharge monitoring time period is not all charging mode, and the application mode of the switching analysis lithium battery at each monitoring time point in each lithium battery charging monitoring time period is not all discharge mode, then the switching analysis lithium battery is marked as a switching abnormal lithium battery.

[0023] Summarizes the abnormal lithium batteries and failed lithium batteries of each switch of the switch.

[0024] Preferably, each switch of the analysis switch analyzes the mode switching delay abnormality coefficient of the lithium battery, and the specific analysis method is: obtaining a predefined charging mode switching appropriate time length A and a predefined discharge mode switching appropriate time length B from a local database.

[0025] Calculate the charging mode switching time a of each abnormal lithium battery in each lithium battery charging monitoring time period xn and the discharge mode switching duration b in each lithium battery discharge monitoring time period xi , wherein x represents the number of each abnormally switched lithium battery, x=1,2,...,y, y is a positive integer greater than 2, n represents the number of each lithium battery charging monitoring time period, n=1,2,...,m, m is a positive integer greater than 2, i represents the number of each lithium battery discharging monitoring time period, i=1,2,...,j, j is a positive integer greater than 2.

[0026] Calculate the mode switching duration fluctuation coefficient of each switching abnormal lithium battery of the switch

[0027] Calculate the mode switching delay abnormality coefficient of each switching abnormal lithium battery of the switch Wherein, e represents a natural constant, m represents the number of lithium battery charging monitoring time periods, and j represents the number of lithium battery discharging monitoring time periods.

[0028] Preferably, the specific calculation method for calculating the charging mode switching duration of each abnormally switched lithium battery in each lithium battery charging monitoring time period and the discharge mode switching duration in each lithium battery discharge monitoring time period is as follows: according to the application mode of each monitoring time point of each switching analysis lithium battery in each lithium battery charging monitoring time period, the application mode of each monitoring time point of each abnormally switched lithium battery in each lithium battery charging monitoring time period is extracted, and the time difference between the last time point of a certain abnormally switched lithium battery in a certain lithium battery charging monitoring time period and the most recent monitoring time point where the application mode is the discharge mode is used as the charging mode switching duration of the abnormally switched lithium battery in the lithium battery charging monitoring time period, thereby calculating the charging mode switching duration of each abnormally switched lithium battery in each lithium battery charging monitoring time period.

[0029] Similarly, the discharge mode switching duration of each abnormally switched lithium battery in each lithium battery discharge monitoring time period is calculated.

[0030] Preferably, the specific screening method for screening the failed power supply lithium batteries of the switch is: calculating the power supply threat coefficient of each normal lithium battery of the switch to the chip.

[0031] Calculate the chip threat factor of each abnormal switching lithium battery power supply of the switch.

[0032] The power supply threat factor threshold for the chip is obtained from the local database.

[0033] The power supply to chip threat coefficient of each normal switching lithium battery of the switch is compared with the power supply to chip threat coefficient threshold. If the power supply to chip threat coefficient of a normal switching lithium battery of the switch is greater than the power supply to chip threat coefficient threshold, the normal switching lithium battery is marked as a power supply failure lithium battery.

[0034] The power supply threat coefficient of each abnormal switching lithium battery of the switch is compared with the power supply threat coefficient threshold. If the power supply threat coefficient of a certain abnormal switching lithium battery of the switch is greater than the power supply threat coefficient threshold, the abnormal switching lithium battery is marked as a failed power supply lithium battery.

[0035] Summarizes the failed lithium batteries of the switch.

[0036] Preferably, the power supply threat coefficient of each normal lithium battery of the switch to the chip is calculated by a specific calculation method as follows: obtaining the appropriate supply voltage value and the appropriate supply current value of each chip belonging to the switch from the local database, and mapping the appropriate supply voltage value c of the chip corresponding to each normal lithium battery of the switch according to the chip corresponding to each normal lithium battery of the switch at each lithium battery power supply monitoring time point. p and the appropriate supply current value d p , where p is the serial number of each switched normal lithium battery, p=1,2,...,q, q is a positive integer greater than 2.

[0037] The threat coefficient adjustment parameter value of each chip of the switch is obtained from the local database, and the threat coefficient adjustment parameter value h of each chip corresponding to the normal lithium battery of the switch is mapped. p .

[0038] According to the supply voltage value f of the chip corresponding to each normal lithium battery switched by the switch at each lithium battery power supply monitoring time point rp and supply current value g rp , where r represents the number of each lithium battery power supply monitoring time point, r = 1, 2, ..., s, s is a positive integer greater than 2, and the chip threat coefficient of each switch normal lithium battery power supply is calculated

[0039] Preferably, the calculation method of the power supply threat coefficient of each abnormal switching lithium battery of the switch to the chip is as follows: mapping to obtain the appropriate supply voltage value C of the chip corresponding to each abnormal switching lithium battery of the switch x and the appropriate supply current value D x , and map the threat coefficient adjustment parameter value H of the chip corresponding to each abnormal lithium battery of the switch x .

[0040] The threat coefficient increase value corresponding to each mode switching delay abnormal coefficient interval is obtained from the local database. According to the mode switching delay abnormal coefficient of each switching abnormal lithium battery of the switch, the threat coefficient increase value R of each switching abnormal lithium battery of the switch is mapped. x .

[0041] According to the supply voltage value F of the chip corresponding to each abnormal lithium battery at each lithium battery power supply monitoring time point of the switch Nx and supply current value G Nx , where N is the number of each normal lithium battery, N = 1, 2, ..., M, M is a positive integer greater than 2, calculate the power supply threat coefficient of each abnormal lithium battery of the switch to the chip

[0042] Preferably, the specific statistical method for counting the replaced lithium batteries of the switch is: marking the failed lithium batteries of the switch as replaced lithium batteries.

[0043] Mark the failed lithium batteries of the switch as replacement lithium batteries.

[0044] Replace the lithium battery of each switch.

[0045] The beneficial effects of the present invention are as follows: (1) The lithium battery status acquisition module of the present invention is used to acquire data of each lithium battery of the switch, perform preliminary screening, and facilitate subsequent analysis.

[0046] (2) The power supply mode abnormality analysis module of the present invention is used to screen lithium batteries whose power supply mode switching function has failed, so as to facilitate the person in charge of switch maintenance to replace these lithium batteries.

[0047] (3) The lithium battery power supply analysis module of the present invention analyzes the mode switching time of each lithium battery and the voltage and current when powering the chip, and combines the data of the chip corresponding to each lithium battery to screen out the lithium batteries that pose a greater threat to the chip, so as to facilitate subsequent processing of these lithium batteries.

[0048] (4) The lithium battery processing module of the present invention integrates and summarizes the lithium batteries with abnormal functions and sends them to the person in charge of switch maintenance, thereby reducing the occurrence of the problem that the lithium batteries in the switch have normal data but are slow to respond to mode switching, and reduces the harm of lithium batteries to various chips, making it easier for the person in charge of switch maintenance to replace lithium batteries and ensuring the data security of the switch. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] Reference Figure 1 As shown, the present invention provides a lithium battery management system, including: a lithium battery status acquisition module, a power supply mode abnormality analysis module, a lithium battery power supply analysis module, a lithium battery processing module and a local database.

[0053] It should be noted that the lithium battery status acquisition module is connected to the power supply mode abnormality analysis module, the power supply mode abnormality analysis module is connected to the lithium battery power supply analysis module, the lithium battery power supply analysis module is connected to the lithium battery processing module, and the local database is connected to the lithium battery status acquisition module, the power supply mode abnormality analysis module, the lithium battery power supply analysis module, and the lithium battery processing module.

[0054] It should also be noted that the local database is used to store the power supply voltage value threshold, the predefined appropriate charging mode switching time, the predefined appropriate discharge mode switching time, the power supply to chip threat coefficient threshold, the appropriate supply voltage value and the appropriate supply current value of each chip belonging to the switch, the threat coefficient adjustment parameter value of each chip belonging to the switch, and the threat coefficient increase value corresponding to each mode switching delay abnormal coefficient interval.

[0055] The lithium battery status acquisition module is used to obtain the power supply voltage value of the external power supply of the switch at each monitoring time point and the application mode of each lithium battery, and screen the lithium battery charging monitoring time point and the lithium battery power supply monitoring time point of the switch, thereby screening the switching analysis lithium batteries and the switching normal lithium batteries of the switch.

[0056] In a specific embodiment, the power supply voltage value of the external power supply of the switch at each monitoring time point and the application mode of each lithium battery are obtained, and the specific acquisition method is: obtaining the application mode of each lithium battery of the switch at each monitoring time point from the switch management platform, and obtaining the power supply voltage value of the external power supply of the switch at each monitoring time point from the voltage sensor.

[0057] It should be noted that the application mode includes: a charging mode and a discharging mode.

[0058] In a specific embodiment of the present invention, the specific screening method for screening each lithium battery charging monitoring time point and each lithium battery power supply monitoring time point of the switch is: obtaining a power supply voltage value threshold from a local database.

[0059] The supply voltage value of the external power supply of the switch at each monitoring time point is compared with the supply voltage value threshold. If the supply voltage value of the external power supply of the switch at a certain monitoring time point is less than the supply voltage value threshold, the monitoring time point is marked as a lithium battery power supply monitoring time point. Otherwise, the monitoring time point is marked as a lithium battery charging monitoring time point, thereby screening the lithium battery charging monitoring time points and the lithium battery power supply monitoring time points of the switch.

[0060] In a specific embodiment of the present invention, the specific screening method for screening each switching analysis lithium battery and each switching normal lithium battery of the switch is: based on the application mode of each lithium battery of the switch at each monitoring time point, extract the application mode of each lithium battery of the switch at each lithium battery charging monitoring time point, and extract the application mode of each lithium battery of the switch at each lithium battery power supply monitoring time point.

[0061] If the application mode of a certain lithium battery of the switch at a certain lithium battery charging monitoring time point is the discharge mode, the lithium battery is marked as a switching analysis lithium battery.

[0062] If the application mode of a certain lithium battery of the switch at a certain lithium battery power supply monitoring time point is the charging mode, the lithium battery is marked as a switching analysis lithium battery.

[0063] If the application mode of a lithium battery of the switch at each lithium battery power supply monitoring time point is the discharge mode, and the application mode of the lithium battery of the switch at each lithium battery charging monitoring time point is the charging mode, then the lithium battery is marked as a normal switching lithium battery, thereby screening the normal switching lithium batteries of the switch.

[0064] Summarize the analysis battery of each switch and the normal battery of each switch of the switch.

[0065] The lithium battery status acquisition module of the present invention is used to acquire data of each lithium battery of the switch and perform preliminary screening to facilitate subsequent analysis.

[0066] The power supply mode abnormality analysis module is used to screen each switching abnormal lithium battery and each switching failure lithium battery of the switch, and analyze the mode switching delay abnormality coefficient of each switching abnormal lithium battery of the switch.

[0067] In a specific embodiment of the present invention, the specific screening method for screening each switching abnormal lithium battery and each switching failed lithium battery of the switch is: according to each lithium battery charging monitoring time point and each lithium battery power supply monitoring time point of the switch, analyzing each lithium battery charging monitoring time period and each lithium battery power supply monitoring time period of the switch.

[0068] According to the application mode of each lithium battery of the switch at each monitoring time point, the application mode of each switch analysis of the lithium battery at each monitoring time point in each lithium battery charging monitoring time period is extracted, and the application mode of each switch analysis of the lithium battery at each monitoring time point in each lithium battery power supply monitoring time period is extracted.

[0069] If the application mode of the switch at each monitoring time point of a switching analysis lithium battery in a lithium battery charging monitoring time period is the discharge mode, the switching analysis lithium battery is marked as a switching failure lithium battery.

[0070] If the application mode of the switch at each monitoring time point of a switching analysis lithium battery in a lithium battery discharge monitoring time period is the charging mode, the switching analysis lithium battery is marked as a switching failure lithium battery.

[0071] If the application mode of a switching analysis lithium battery of the switch at each monitoring time point in each lithium battery discharge monitoring time period is not all charging mode, and the application mode of the switching analysis lithium battery at each monitoring time point in each lithium battery charging monitoring time period is not all discharge mode, then the switching analysis lithium battery is marked as a switching abnormal lithium battery.

[0072] Summarizes the abnormal lithium batteries and failed lithium batteries of each switch of the switch.

[0073] In a specific embodiment, the analysis of each lithium battery charging monitoring time period and each lithium battery power supply monitoring time period of the switch is performed in a specific analysis method as follows: if the ten monitoring time points of the switch are numbered: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, wherein the monitoring time points numbered 1, 2, 3, 6, 7 are the lithium battery charging monitoring time points of the switch, and the monitoring time points numbered 4, 5, 8, 9, 10 are the lithium battery charging monitoring time points of the switch, then starting from the monitoring time point numbered 1 and ending at the monitoring time point numbered 3, this time period is marked as the lithium battery charging monitoring time period, starting from the monitoring time point numbered 4 and ending at the monitoring time point numbered 5, this time period is marked as the lithium battery discharging monitoring time period, and so on, thereby obtaining each lithium battery charging monitoring time period and each lithium battery power supply monitoring time period of the switch.

[0074] It should be noted that, if the monitoring time points numbered 1 and 3 are the lithium battery charging monitoring time points of the switch, and the monitoring time point numbered 2 is the lithium battery power supply monitoring time point of the switch, then the time period starting from the monitoring time point numbered 1 and ending at the monitoring time point numbered 3 is marked as the lithium battery charging monitoring time period, and for a single lithium battery power supply monitoring time point interspersed between the two lithium battery charging monitoring time points, this lithium battery power supply monitoring time point is used as the charging monitoring time point, and vice versa, if the monitoring time points numbered 1 and 3 are the lithium battery charging monitoring time points of the switch, and the monitoring time points numbered 2 and 4 are the lithium battery power supply monitoring time points of the switch, then the lithium battery power supply monitoring time point numbered 2 is used as the charging monitoring time point.

[0075] In a specific embodiment of the present invention, the analysis switch analyzes the mode switching delay abnormality coefficient of the lithium battery, and the specific analysis method is: obtaining a predefined charging mode switching appropriate time length A and a predefined discharge mode switching appropriate time length B from a local database.

[0076] Calculate the charging mode switching time a of each abnormal lithium battery in each lithium battery charging monitoring time period xn and the discharge mode switching duration b in each lithium battery discharge monitoring time period xi , wherein x represents the number of each abnormally switched lithium battery, x=1,2,...,y, y is a positive integer greater than 2, n represents the number of each lithium battery charging monitoring time period, n=1,2,...,m, m is a positive integer greater than 2, i represents the number of each lithium battery discharging monitoring time period, i=1,2,...,j, j is a positive integer greater than 2.

[0077] Calculate the mode switching duration fluctuation coefficient of each switching abnormal lithium battery of the switch

[0078] Calculate the mode switching delay abnormality coefficient of each switching abnormal lithium battery of the switch Wherein, e represents a natural constant, m represents the number of lithium battery charging monitoring time periods, and j represents the number of lithium battery discharging monitoring time periods.

[0079] In a specific embodiment of the present invention, the charging mode switching duration of each abnormally switched lithium battery in each lithium battery charging monitoring time period and the discharge mode switching duration in each lithium battery discharge monitoring time period are calculated by the following specific calculation method: according to the application mode of each monitoring time point of each switching analysis lithium battery in each lithium battery charging monitoring time period, the application mode of each monitoring time point of each abnormally switched lithium battery in each lithium battery charging monitoring time period is extracted, and the time difference between the last time point of a certain abnormally switched lithium battery in a certain lithium battery charging monitoring time period and the most recent monitoring time point where the application mode is the discharge mode is used as the charging mode switching duration of the abnormally switched lithium battery in the lithium battery charging monitoring time period, thereby calculating the charging mode switching duration of each abnormally switched lithium battery in each lithium battery charging monitoring time period.

[0080] Similarly, the discharge mode switching duration of each abnormally switched lithium battery in each lithium battery discharge monitoring time period is calculated.

[0081] It should be noted that the most recent application mode is a monitoring time point of a discharge mode, and this monitoring time point is after the last time point in the lithium battery charging monitoring time period.

[0082] The power supply mode abnormality analysis module of the present invention is used to screen lithium batteries whose power supply mode switching function has failed, so as to facilitate the person in charge of switch maintenance to replace these lithium batteries.

[0083] The lithium battery power supply analysis module is used to obtain the supply voltage value and supply current value of the chip corresponding to each normal switching lithium battery and each abnormal switching lithium battery of the switch at each lithium battery power supply monitoring time point, and screen the failed lithium batteries of the switch.

[0084] In a specific embodiment, the supply voltage value and supply current value of the chip corresponding to each normal lithium battery switched and each abnormal lithium battery switched at each lithium battery power supply monitoring time point of the switch are obtained, and the specific acquisition method is: obtain the supply voltage value and supply current value of the chip corresponding to each normal lithium battery switched and each abnormal lithium battery switched at each lithium battery power supply monitoring time point of the switch from the switch management platform.

[0085] In a specific embodiment of the present invention, the specific screening method for screening the failed power supply lithium batteries of the switch is: calculating the power supply threat coefficient of each normal lithium battery of the switch to the chip.

[0086] Calculate the chip threat factor of each abnormal switching lithium battery power supply of the switch.

[0087] The power supply threat factor threshold for the chip is obtained from the local database.

[0088] The power supply to chip threat coefficient of each normal switching lithium battery of the switch is compared with the power supply to chip threat coefficient threshold. If the power supply to chip threat coefficient of a normal switching lithium battery of the switch is greater than the power supply to chip threat coefficient threshold, the normal switching lithium battery is marked as a power supply failure lithium battery.

[0089] The power supply threat coefficient of each abnormal switching lithium battery of the switch is compared with the power supply threat coefficient threshold. If the power supply threat coefficient of a certain abnormal switching lithium battery of the switch is greater than the power supply threat coefficient threshold, the abnormal switching lithium battery is marked as a failed power supply lithium battery.

[0090] Summarizes the failed lithium batteries of the switch.

[0091] In a specific embodiment of the present invention, the power supply threat coefficient of each normal lithium battery of the switch to the chip is calculated by the following specific calculation method: the appropriate supply voltage value and the appropriate supply current value of each chip belonging to the switch are obtained from the local database, and the appropriate supply voltage value c of the chip corresponding to each normal lithium battery of the switch is mapped according to the chip corresponding to each normal lithium battery of the switch at each lithium battery power supply monitoring time point. p and the appropriate supply current value d p , where p is the serial number of each switched normal lithium battery, p=1,2,...,q, q is a positive integer greater than 2.

[0092] The threat coefficient adjustment parameter value of each chip of the switch is obtained from the local database, and the threat coefficient adjustment parameter value h of each chip corresponding to the normal lithium battery of the switch is mapped. p .

[0093] According to the supply voltage value f of the chip corresponding to each normal lithium battery switched by the switch at each lithium battery power supply monitoring time point rp and supply current value g rp , where r represents the number of each lithium battery power supply monitoring time point, r = 1, 2, ..., s, s is a positive integer greater than 2, and the chip threat coefficient of each switch normal lithium battery power supply is calculated

[0094] In a specific embodiment of the present invention, the power supply threat coefficient of each abnormal switching lithium battery of the switch to the chip is calculated by mapping to obtain the appropriate supply voltage value C of the chip corresponding to each abnormal switching lithium battery of the switch. x and the appropriate supply current value D x , and map the threat coefficient adjustment parameter value H of the chip corresponding to each abnormal lithium battery of the switch x .

[0095] The threat coefficient increase value corresponding to each mode switching delay abnormal coefficient interval is obtained from the local database. According to the mode switching delay abnormal coefficient of each switching abnormal lithium battery of the switch, the threat coefficient increase value R of each switching abnormal lithium battery of the switch is mapped. x .

[0096] According to the supply voltage value F of the chip corresponding to each abnormal lithium battery at each lithium battery power supply monitoring time point of the switch Nx and supply current value G Nx , where N is the number of each normal lithium battery, N = 1, 2, ..., M, M is a positive integer greater than 2, calculate the power supply threat coefficient of each abnormal lithium battery of the switch to the chip

[0097] The lithium battery power supply analysis module of the present invention analyzes the mode switching time of each lithium battery and the voltage and current when powering the chip, and combines the data of the chip corresponding to each lithium battery to screen out the lithium batteries whose power supply poses a greater threat to the chip, thereby facilitating subsequent processing of these lithium batteries.

[0098] The lithium battery processing module is used to count the replaced lithium batteries of the switch, obtain the serial number of each lithium battery of the switch, and send the serial number of each replaced lithium battery of the switch to the person in charge of switch maintenance.

[0099] In a specific embodiment of the present invention, the statistics of each replacement lithium battery of the switch are counted, and the specific statistical method is: marking each switching failed lithium battery of the switch as each replacement lithium battery.

[0100] Mark the failed lithium batteries of the switch as replacement lithium batteries.

[0101] Replace the lithium battery of each switch.

[0102] The lithium battery processing module of the present invention integrates and summarizes the lithium batteries with abnormal functions and sends them to the person in charge of switch maintenance, thereby reducing the occurrence rate of the problem that the lithium batteries in the switch have normal data but are slow to respond to mode switching, and reduces the harm of lithium batteries to various chips, making it convenient for the person in charge of switch maintenance to replace lithium batteries and ensure the data security of the switch.

[0103] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A lithium battery management system, characterized in that: include: The lithium battery status acquisition module is used to obtain the power supply voltage value of the external power supply of the switch at each monitoring time point and the application mode of each lithium battery, and screen the charging monitoring time point of each lithium battery and the power supply monitoring time point of each lithium battery of the switch, so as to screen the switching analysis lithium batteries and the switching normal lithium batteries of the switch; The power supply mode abnormality analysis module is used to screen the abnormal switching lithium batteries and the failed switching lithium batteries of the switch, and analyze the abnormal coefficient of mode switching delay of the abnormal switching lithium batteries of the switch; The specific screening method of screening each switching abnormal lithium battery and each switching failure lithium battery of the switch is: Analyze each lithium battery charging monitoring time period and each lithium battery power supply monitoring time period of the switch, and extract the application mode of each switch analysis lithium battery monitoring time point in each lithium battery power supply monitoring time period; If the switch's application mode at each monitoring time point of a switching analysis lithium battery in a lithium battery charging monitoring time period is a discharge mode, the switching analysis lithium battery is marked as a switching failure lithium battery; If the switch's application mode at each monitoring time point of a certain switching analysis lithium battery in a certain lithium battery discharge monitoring time period is the charging mode, the switching analysis lithium battery is marked as a switching failure lithium battery; If the application mode of a certain switching analysis lithium battery of the switch at each monitoring time point in each lithium battery discharge monitoring time period is not all in the charging mode, and the application mode of the switching analysis lithium battery at each monitoring time point in each lithium battery charge monitoring time period is not all in the discharge mode, then the switching analysis lithium battery is marked as a switching abnormal lithium battery; Summarize the abnormal lithium batteries and failed lithium batteries of each switch; The specific analysis method of analyzing the mode switching delay abnormality coefficient of each switching abnormal lithium battery of the switch is as follows: Obtaining a predefined charging mode switching suitable time length A and a predefined discharging mode switching suitable time length B from a local database; Calculate the charging mode switching duration of each abnormal lithium battery in each lithium battery charging monitoring time period And the discharge mode switching duration in each lithium battery discharge monitoring time period , where x represents the number of each abnormal lithium battery. , y is a positive integer greater than 2, n represents the number of each lithium battery charging monitoring time period, , m is a positive integer greater than 2, i represents the number of each lithium battery discharge monitoring time period, , j is a positive integer greater than 2; Calculate the mode switching duration fluctuation coefficient of each switching abnormal lithium battery of the switch ； Calculate the mode switching delay abnormality coefficient of each switching abnormal lithium battery of the switch , where e represents a natural constant, m represents the number of lithium battery charging monitoring time periods, and j represents the number of lithium battery discharging monitoring time periods; The lithium battery power supply analysis module is used to obtain the supply voltage and supply current values ​​of the chips corresponding to each normal lithium battery and each abnormal lithium battery of the switch at each lithium battery power supply monitoring time point, and screen out the failed lithium batteries of the switch; The specific screening method of screening the failed lithium batteries of the switch is as follows: Calculate the chip threat factor of the normal lithium battery power supply of each switch; Calculate the chip threat factor of each abnormal lithium battery power supply of the switch; Obtain the power supply threat factor threshold for the chip from the local database; The power supply threat coefficient of each normal lithium battery of the switch to the chip is compared with the power supply threat coefficient threshold. If the power supply threat coefficient of a normal lithium battery of the switch to the chip is greater than the power supply threat coefficient threshold, the normal lithium battery is marked as a failed power supply lithium battery; The power supply threat coefficient of each abnormal switching lithium battery of the switch to the chip is compared with the power supply threat coefficient threshold to the chip. If the power supply threat coefficient of a certain abnormal switching lithium battery of the switch to the chip is greater than the power supply threat coefficient threshold to the chip, the abnormal switching lithium battery is marked as a power failure lithium battery; Collect all failed lithium batteries of the switch; The specific calculation method of calculating the chip threat coefficient of the power supply of each normal lithium battery of the switch is: Obtain the appropriate supply voltage and current values ​​of each chip of the switch from the local database, and map the appropriate supply voltage values ​​of each chip corresponding to each normal lithium battery of the switch according to the chips corresponding to each normal lithium battery of the switch at each lithium battery power supply monitoring time point. and suitable supply current value , where p is the number of each switched normal lithium battery, , q is a positive integer greater than 2; Obtain the threat coefficient adjustment parameter values ​​of each chip of the switch from the local database, and map the threat coefficient adjustment parameter values ​​of the chips corresponding to each normal lithium battery of the switch. ; According to the supply voltage value of the chip corresponding to each normal lithium battery switched by the switch at each lithium battery power supply monitoring time point and supply current value , where r represents the number of each lithium battery power supply monitoring time point, , s is a positive integer greater than 2, calculate the chip threat coefficient of the normal lithium battery power supply of each switch ； The specific calculation method of calculating the chip threat coefficient of the power supply of each abnormal switching lithium battery of the switch is: Mapping to obtain the appropriate supply voltage value of the chip corresponding to each abnormal lithium battery of the switch and suitable supply current value , and map the threat coefficient adjustment parameter value of the chip corresponding to each abnormal lithium battery of the switch ; Obtain the threat coefficient increase value corresponding to each mode switching delay abnormal coefficient interval from the local database, and map the threat coefficient increase value of each switching abnormal lithium battery of the switch according to the mode switching delay abnormal coefficient of each switching abnormal lithium battery of the switch ; According to the supply voltage value of the chip corresponding to each abnormal lithium battery at each lithium battery power supply monitoring time point of the switch and supply current value , where N is the number of each switched normal lithium battery, , M is a positive integer greater than 2, calculate the chip threat coefficient of each abnormal lithium battery power supply of the switch ； The lithium battery processing module is used to count the replaced lithium batteries of the switch, obtain the serial number of each lithium battery of the switch, and send the serial number of each replaced lithium battery of the switch to the person in charge of switch maintenance; The specific statistical method for counting the replaced lithium batteries of the switch is as follows: Mark each failed lithium battery of the switch as a replacement lithium battery; Mark each failed lithium battery of the switch as a replacement lithium battery; Replace the lithium battery of each switch.

2. A lithium battery management system according to claim 1, characterized in that: The specific screening method of screening each lithium battery charging monitoring time point and each lithium battery power supply monitoring time point of the switch is: Obtain the supply voltage value threshold from the local database; The supply voltage value of the external power supply of the switch at each monitoring time point is compared with the supply voltage value threshold. If the supply voltage value of the external power supply of the switch at a certain monitoring time point is less than the supply voltage value threshold, the monitoring time point is marked as a lithium battery power supply monitoring time point. Otherwise, the monitoring time point is marked as a lithium battery charging monitoring time point, thereby screening the lithium battery charging monitoring time points and the lithium battery power supply monitoring time points of the switch.

3. A lithium battery management system according to claim 1, characterized in that: The specific screening method of the screening switch for each switching analysis lithium battery and each switching normal lithium battery is as follows: According to the application mode of each lithium battery of the switch at each monitoring time point, the application mode of each lithium battery of the switch at each lithium battery charging monitoring time point is extracted, and the application mode of each lithium battery of the switch at each lithium battery power supply monitoring time point is extracted; If the application mode of a certain lithium battery of the switch at a certain lithium battery charging monitoring time point is the discharge mode, the lithium battery is marked as a switching analysis lithium battery; If the application mode of a certain lithium battery of the switch at a certain lithium battery power supply monitoring time point is charging mode, the lithium battery is marked as a switching analysis lithium battery; If the application mode of a lithium battery of the switch at each lithium battery power supply monitoring time point is the discharge mode, and the application mode of the lithium battery of the switch at each lithium battery charging monitoring time point is the charging mode, then the lithium battery is marked as a normal switching lithium battery, thereby screening the normal switching lithium batteries of the switch; Summarize the analysis battery of each switch and the normal battery of each switch of the switch.

4. A lithium battery management system according to claim 1, characterized in that: The specific calculation method of calculating the charging mode switching duration of each abnormally switched lithium battery in each lithium battery charging monitoring time period and the discharge mode switching duration in each lithium battery discharge monitoring time period is as follows: According to the application mode of each monitoring time point of each switching analysis lithium battery in each lithium battery charging monitoring time period of the switch, the application mode of each monitoring time point of each switching abnormal lithium battery in each lithium battery charging monitoring time period of the switch is extracted, and the time difference between the last time point of a certain switching abnormal lithium battery in a certain lithium battery charging monitoring time period and the most recent monitoring time point where the application mode is the discharge mode is used as the charging mode switching duration of the switching abnormal lithium battery in the lithium battery charging monitoring time period, thereby calculating the charging mode switching duration of each switching abnormal lithium battery in each lithium battery charging monitoring time period; Similarly, the discharge mode switching duration of each abnormally switched lithium battery in each lithium battery discharge monitoring time period is calculated.

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