CN117856408B - Lithium battery charge and discharge management system based on data analysis - Google Patents
Lithium battery charge and discharge management system based on data analysis Download PDFInfo
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- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 303
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 301
- 238000007405 data analysis Methods 0.000 title claims abstract description 12
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- 230000005540 biological transmission Effects 0.000 claims description 23
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- 239000000243 solution Substances 0.000 description 2
- 229910000733 Li alloy Inorganic materials 0.000 description 1
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
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- 239000001989 lithium alloy Substances 0.000 description 1
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- 239000007773 negative electrode material Substances 0.000 description 1
- 239000011255 nonaqueous electrolyte Substances 0.000 description 1
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Abstract
The invention belongs to the technical field of lithium battery supervision, in particular to a lithium battery charge and discharge management system based on data analysis, which comprises a lithium battery supervision platform, a charge and discharge line detection module, a lithium battery temperature management module, a lithium battery charge and discharge effect analysis module and an intelligent management and control end; according to the invention, the charging and discharging circuit detection module monitors and analyzes the corresponding circuit in the charging and discharging process of the lithium battery, the temperature of the lithium battery is monitored in the charging and discharging processes of the lithium battery through the lithium battery temperature pipe module when the wire detection normal signal is generated, the charging process or the discharging process of the lithium battery is subjected to auxiliary detection and analysis through the lithium battery charging and discharging effect analysis module when the temperature detection optimal signal is generated, the risk of the corresponding charging and discharging circuit can be accurately judged, the operation safety of the lithium battery is combined and progressively evaluated based on multiple factors when the risk of the corresponding circuit is lower, the effective supervision of the charging and discharging process of the lithium battery is realized, and the potential safety hazard in the charging and discharging process of the lithium battery is obviously reduced.
Description
Technical Field
The invention relates to the technical field of lithium battery supervision, in particular to a lithium battery charge and discharge management system based on data analysis.
Background
The lithium battery is a battery which takes lithium metal or lithium alloy as a negative electrode material and uses nonaqueous electrolyte solution, and can be divided into a lithium metal battery and a lithium ion battery, and along with the rapid development of technology, the lithium battery is widely applied to the fields of electric automobiles, energy storage stations, electronic equipment and the like by virtue of the advantages of high energy density, no memory effect and the like, the electrochemical reaction is involved in the charging and discharging process of the lithium battery, and the battery performance is easily reduced, the service life is shortened and even safety accidents occur due to improper charging and discharging management;
at present, when the lithium battery is subjected to charge and discharge management, the corresponding charge circuit or discharge circuit cannot be reasonably analyzed and the risk of the corresponding charge circuit or discharge circuit cannot be accurately judged, and when the risk of the corresponding circuit is low, the operation safety of the lithium battery is difficult to be evaluated based on multi-factor combination and in a progressive manner, the intelligent and automatic degree are low, the charge and discharge process of the lithium battery cannot be effectively monitored, and the smooth and safe performance of the charge and discharge process of the lithium battery is not guaranteed;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a lithium battery charging and discharging management system based on data analysis, which solves the problems that the prior art cannot reasonably analyze and accurately judge the risk of a corresponding charging circuit or discharging circuit, and is difficult to evaluate the operation safety of a lithium battery based on multi-factor combination and in a progressive manner when the risk of the corresponding circuit is low, and has low intelligent and automatic degrees and large charging and discharging supervision difficulty.
In order to achieve the above purpose, the present invention provides the following technical solutions:
A lithium battery charge and discharge management system based on data analysis comprises a lithium battery supervision platform, a charge and discharge line detection module, a lithium battery temperature management module, a lithium battery charge and discharge effect analysis module and an intelligent management and control end; the charging and discharging circuit detection module is used for acquiring a charging circuit and a discharging circuit of the lithium battery, monitoring the charging circuit in the charging process of the lithium battery, monitoring the discharging circuit in the discharging process of the lithium battery, generating a normal line detection signal or an abnormal line detection signal of the corresponding circuit through analysis, transmitting the abnormal line detection signal of the corresponding circuit to the intelligent management and control end through the lithium battery supervision platform, and transmitting the normal line detection signal to the lithium battery temperature management module through the lithium battery supervision platform;
After the lithium battery temperature tube module receives the line inspection normal signal, temperature monitoring is carried out on the lithium battery in the charging and discharging process, a temperature risk point is determined through analysis, a temperature inspection signal or a temperature inspection optimal signal is generated, the temperature inspection optimal signal is sent to an intelligent control end through a lithium battery supervision platform, and the temperature inspection optimal signal is sent to a lithium battery charging and discharging efficiency analysis module through the lithium battery supervision platform; after the lithium battery charging and discharging effect analysis module receives the temperature optimal detection signal, carrying out auxiliary detection analysis on the charging process or the discharging process of the lithium battery, generating an effect measurement qualified signal or an effect measurement unqualified signal through analysis, and sending the effect measurement unqualified signal to the intelligent management and control end through the lithium battery supervision platform; the intelligent control terminal receives the abnormal signal of the wire inspection, the abnormal signal of the temperature inspection or the disqualified signal of the effective inspection and sends out corresponding early warning.
Further, the specific operation process of the charge-discharge line detection module includes:
Setting a detection period, defining a plurality of detection time points in the detection period, marking a charging circuit and a discharging circuit of a lithium battery as monitoring circuits, setting a plurality of monitoring points on the monitoring circuits, judging the corresponding detection time points as pressure flow inferior detection time points or pressure flow superior detection time points through circuit electrical detection analysis, marking the ratio of the number of the pressure flow inferior detection time points in the detection period to the total number of the detection time points as pressure flow inferior detection data, and marking the maximum value of the number of the pressure flow inferior detection time points between two adjacent groups of pressure flow superior detection time points as pressure flow inferior amplitude data;
Carrying out line temperature analysis to obtain a temperature consumption line condition value, carrying out numerical calculation on pressure flow inferior detection data, pressure flow inferior amplitude data and temperature consumption line condition value to obtain a charging and discharging line detection value, carrying out numerical comparison on the charging and discharging line detection value and a preset charging and discharging line detection threshold value, and generating a line detection abnormal signal of a corresponding supervision line if the charging and discharging line detection value exceeds the preset charging and discharging line detection threshold value; if the charging and discharging line inspection value does not exceed the preset charging and discharging line inspection threshold value, generating a line inspection normal signal of the corresponding supervision line.
Further, the specific analysis process of the line electrical inspection analysis is as follows:
Collecting voltage values and current values of each supervision point on a corresponding supervision line at corresponding detection time points in the charging or discharging process of the lithium battery, performing variance calculation on the voltage values of all the supervision points to obtain a voltage supervision coefficient, and performing variance calculation on the current values of all the supervision points to obtain a current supervision coefficient; respectively comparing the voltage supervision coefficient and the current supervision coefficient with a preset voltage supervision coefficient threshold value and a preset current supervision coefficient threshold value in numerical value, and marking the corresponding detection time point as a press flow inferior detection time point if the voltage supervision coefficient or the current supervision coefficient exceeds the corresponding preset threshold value;
If the voltage supervision coefficient and the current supervision coefficient do not exceed the corresponding preset threshold values, respectively carrying out numerical comparison on the voltage value and the current value of the corresponding supervision point and the preset standard voltage range and the preset standard current range, and if the voltage value or the current value is not in the corresponding preset range, marking the corresponding supervision point as an abnormal point; the method comprises the steps of obtaining the number of abnormal points on a corresponding monitoring pipeline, marking the ratio of the abnormal points to the total number of the monitoring points as an abnormal point analysis value, carrying out average value calculation on the voltage values of all the monitoring points, marking the deviation value of an average value result compared with the median value of a preset standard voltage range as a charging and discharging voltage value, and obtaining a charging and discharging current value in the same way;
Carrying out numerical calculation on the abnormal point analysis value, the charging and discharging voltage value and the charging and discharging current value to obtain a charging and discharging monitoring value, carrying out numerical comparison on the charging and discharging monitoring value and a preset charging and discharging monitoring threshold value, and marking the corresponding detection time point as a pressure flow degradation detection time point if the charging and discharging monitoring value exceeds the preset charging and discharging monitoring threshold value; if the charging and discharging monitoring value does not exceed the preset charging and discharging monitoring value, the corresponding detection time point is marked as a pressure flow optimal detection time point.
Further, the specific analysis process of the line temperature consumption analysis is as follows:
marking a part between two adjacent groups of supervision points on a supervision line as a power transmission section, acquiring the input power data and the output power data of the corresponding power transmission section in a detection period, and performing difference value calculation on the input power data and the output power data to obtain power consumption data;
The surface temperature data and the surface heating data of the corresponding power transmission section in the detection period are acquired, the temperature consumption section detection value is obtained by carrying out numerical calculation on the surface temperature data, the surface heating data and the electric energy consumption data, the temperature consumption section detection value is compared with a preset temperature consumption section detection threshold value in a numerical mode, and if the temperature consumption section detection value exceeds the preset temperature consumption section detection threshold value, the corresponding power transmission section is marked as an inferior table section;
The method comprises the steps of obtaining the number of inferior table segments, marking the ratio of the number of inferior table segments to the number of power transmission segments as inferior table segment condition values, carrying out average value calculation on temperature consumption segment detection values of all power transmission segments to obtain temperature consumption detection values, and marking the temperature consumption segment detection value with the largest value as a temperature consumption detection peak value; and carrying out numerical calculation on the inferior table section Kuang Zhi, the temperature consumption detection value and the temperature consumption detection peak value to obtain a temperature consumption line condition value.
Further, the specific operation process of the lithium battery temperature tube module comprises the following steps:
Setting a plurality of temperature evaluation points in the lithium battery, collecting real-time temperatures of the corresponding temperature evaluation points, establishing a temperature evaluation set of all real-time temperatures of the corresponding temperature evaluation points in a detection period, and marking the maximum value and the average value in the temperature evaluation set as a first temperature occurrence value and a second temperature occurrence value respectively; and respectively comparing the first temperature value and the second temperature value with corresponding preset first temperature threshold and preset second temperature threshold, and marking the corresponding temperature evaluation point as a temperature risk point if the first temperature value or the second temperature value exceeds the corresponding preset threshold.
Further, after the temperature risk points are determined, the number of the temperature risk points in the lithium battery is obtained and marked as lithium battery temperature evaluation values, the positions of all the temperature risk points are collected, a plurality of temperature evaluation areas are marked in the lithium battery, the number of the temperature risk points in the corresponding temperature evaluation areas is determined based on the positions of all the temperature risk points and marked as Wen Xianou condition values, and the temperature risk area condition value with the largest value is marked as the lithium battery Wen Xianou amplitude; respectively comparing the lithium battery temperature evaluation value and the lithium battery Wen Xianou amplitude with a preset lithium battery temperature evaluation threshold value and a preset lithium battery temperature danger area amplitude threshold value, and generating a temperature detection signal if the lithium battery temperature evaluation value or the lithium battery Wen Xianou amplitude exceeds the corresponding preset threshold value; and if the lithium battery temperature evaluation value and the lithium battery Wen Xianou amplitude do not exceed the corresponding preset threshold values, generating a temperature optimal detection signal.
Further, the specific operation process of the lithium battery charge-discharge efficiency analysis module comprises the following steps:
In the lithium battery charging process, collecting charging speeds at all moments in a detection period, carrying out average calculation on all the charging speeds, marking an average result as a charging speed segregation value by using a deviation value of a corresponding preset charging speed standard value, carrying out variance calculation on all the charging speeds to obtain a charging speed segregation value, respectively carrying out numerical comparison on the charging speed segregation value and the charging speed segregation value with a preset charging speed segregation threshold value and a preset charging speed segregation threshold value, generating an effect measurement disqualification signal when the lithium battery is charged if the charging speed segregation value or the charging speed segregation value exceeds the corresponding preset threshold value, and generating an effect measurement qualification signal when the lithium battery is charged if the charging speed segregation value and the charging speed segregation value do not exceed the corresponding preset threshold value.
Further, the specific operation process of the lithium battery charge-discharge efficiency analysis module further comprises the following steps:
In the discharging process of the lithium battery, acquiring internal resistance values of the lithium battery at all times in a detection period, carrying out average value calculation on all internal resistance values to obtain an internal resistance coefficient, carrying out numerical comparison on the internal resistance coefficient and a preset internal resistance coefficient threshold value, and if the internal resistance coefficient exceeds the preset internal resistance coefficient threshold value, generating an effective measurement failure signal when the lithium battery is discharged;
If the internal resistance coefficient does not exceed the preset internal resistance coefficient threshold value, performing difference calculation on internal resistance values at two adjacent moments to obtain internal resistance increasing values, performing average calculation on all the internal resistance increasing values to obtain internal resistance increasing values, and marking the ratio of the number of the internal resistance increasing values exceeding the preset internal resistance increasing threshold value as internal resistance overincreasing value; respectively comparing the internal resistance acceleration value and the internal resistance overincrement with a preset internal resistance acceleration threshold value and a preset internal resistance overincrement threshold value, and generating an efficacy test disqualification signal when the lithium battery discharges if the internal resistance acceleration value or the internal resistance overincrement exceeds the corresponding preset threshold value; and if the internal resistance acceleration value and the internal resistance overincrement value do not exceed the corresponding preset threshold values, generating an efficiency test qualified signal when the lithium battery is discharged.
Further, the lithium battery supervision platform is in communication connection with the charge-discharge protection detection module and the lithium battery performance detection module, the charge-discharge protection detection module is used for stopping charging when the stored electric quantity of the lithium battery begins to reach a preset electric quantity upper limit threshold value in the charging process of the lithium battery, stopping discharging when the stored electric quantity of the lithium battery begins to be lower than a preset electric quantity lower limit threshold value in the discharging process of the lithium battery, marking the interval time between the moment when the stored electric quantity begins to reach the preset electric quantity upper limit threshold value and the moment when the lithium battery stops charging as a charge protection buffer time, and similarly acquiring the discharge protection buffer time, and transmitting the charge protection buffer time or the discharge protection buffer time in the corresponding charge-discharge process to the lithium battery supervision platform for storage;
the lithium battery supervision platform sends the abnormal signal, the abnormal signal and the failure signal to the lithium battery performance inspection module, and when the lithium battery performance inspection module receives the abnormal signal, the abnormal signal or the failure signal, the lithium battery performance condition is comprehensively inspected and evaluated, the failure signal or the failure signal is generated through analysis, and the failure signal is sent to the intelligent control end through the lithium battery supervision platform.
Further, the specific operation process of the lithium battery performance test module is as follows:
Setting a management period, collecting the times of faults of the lithium battery in the management period, carrying out average calculation on all charging protection buffer time lengths of the lithium battery in the management period to obtain a charging protection value, and carrying out average calculation on all discharging protection buffer time lengths of the lithium battery in the management period to obtain a discharging protection value; calculating the time difference between the current date and the production date of the lithium battery to obtain a lithium battery production value, marking an exceeding value of the theoretical maximum stored electric quantity of the lithium battery compared with the actual maximum stored electric quantity as a power storage early warning value, collecting all electric quantity descending speeds of the lithium battery in an unoperated state in a management period, and carrying out average calculation on all electric quantity descending speeds to obtain a dormant electric loss value;
Performing numerical calculation on the fault occurrence times, the charging protection value, the discharging protection value, the lithium battery production value, the electricity storage early warning value and the dormant electricity loss value to obtain a lithium battery condition value, performing numerical comparison on the lithium battery condition value and a preset lithium battery condition threshold value, and generating a lithium battery performance inspection disqualification signal if the lithium battery condition value exceeds the preset lithium battery condition threshold value; and if the lithium battery condition value does not exceed the preset lithium battery condition threshold value, generating a lithium battery performance qualification signal.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the invention, the charging and discharging circuit detection module is used for monitoring and analyzing corresponding circuits in the charging and discharging process of the lithium battery, the temperature of the corresponding circuits is monitored in the charging and discharging process of the lithium battery through the lithium battery temperature pipe module when a line detection normal signal is generated, the charging process or the discharging process of the lithium battery is subjected to auxiliary detection and analysis through the lithium battery charging and discharging effect analysis module when a temperature detection optimal signal is generated, the intelligent control terminal is used for sending corresponding early warning when a line detection abnormal signal, a temperature detection abnormal signal or an effect detection unqualified signal is generated, the risk of the corresponding charging and discharging circuit can be accurately judged, the operation safety of the lithium battery is progressively evaluated based on multi-factor combination when the risk of the corresponding circuits is lower, the effective supervision of the charging and discharging process of the lithium battery is realized, and the potential safety hazard of the charging and discharging process of the lithium battery is remarkably reduced;
2. According to the invention, the charge-discharge protection detection module is used for carrying out charge-discharge protection on the lithium battery and reasonably judging the protection reaction efficiency condition of the lithium battery, so that the occurrence of the overcharge-overdischarge condition is effectively avoided, the performance condition of the lithium battery is comprehensively checked and evaluated through the lithium battery performance detection module when an abnormal signal, a abnormal temperature detection signal and an effective detection failure signal are generated, the lithium battery performance detection failure signal or the lithium battery performance detection failure signal is generated through analysis, the intelligent control terminal sends out corresponding early warning when the lithium battery performance detection failure signal is generated, the subsequent use safety and the service performance of the lithium battery are further ensured, the management difficulty of management staff is reduced, and the intelligent and automatic degree is high.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
Fig. 2 is a system block diagram of the second and third embodiments of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the lithium battery charge and discharge management system based on data analysis provided by the invention comprises a lithium battery supervision platform, a charge and discharge line detection module, a lithium battery temperature tube module, a lithium battery charge and discharge effect analysis module and an intelligent management and control end;
The method comprises the steps that a charging circuit and a discharging circuit of a lithium battery are obtained by a charging and discharging circuit detection module, the charging circuit is monitored in the charging process of the lithium battery, the discharging circuit is monitored in the discharging process of the lithium battery, a line detection normal signal or a line detection abnormal signal of the corresponding circuit is generated through analysis, the line detection abnormal signal of the corresponding circuit is sent to an intelligent control end through a lithium battery supervision platform, and the intelligent control end sends out corresponding early warning when receiving the line detection abnormal signal, so that a manager is reminded of timely checking and maintaining the corresponding supervision circuit, and the subsequent charging and discharging safety of the lithium battery is guaranteed; the specific operation process of the charge and discharge line detection module is as follows:
Setting a detection period, defining a plurality of detection time points in the detection period, wherein the time intervals between two adjacent detection time points are the same, marking a charging circuit and a discharging circuit of a lithium battery as monitoring circuits, setting a plurality of monitoring points on the monitoring circuits, and the distance intervals between two adjacent monitoring points are the same; collecting voltage values and current values of each supervision point on a corresponding supervision line at corresponding detection time points in the charging or discharging process of the lithium battery, performing variance calculation on the voltage values of all the supervision points to obtain a voltage supervision coefficient, and performing variance calculation on the current values of all the supervision points to obtain a current supervision coefficient;
It should be noted that, the larger the values of the voltage supervision factor and the current supervision factor are, the more uneven the voltage and current of the supervision line corresponding to the corresponding detection time point are; respectively carrying out numerical comparison on the voltage supervision coefficient and the current supervision coefficient and a preset voltage supervision coefficient threshold value and a preset current supervision coefficient threshold value, and marking the corresponding detection time point as a voltage flow inferior detection time point if the voltage supervision coefficient or the current supervision coefficient exceeds the corresponding preset threshold value, which indicates that the voltage and current distribution of the corresponding supervision line of the corresponding detection time point is uneven;
If the voltage supervision coefficient and the current supervision coefficient do not exceed the corresponding preset threshold values, respectively carrying out numerical comparison on the voltage value and the current value of the corresponding supervision point and the preset standard voltage range and the preset standard current range, and if the voltage value or the current value is not in the corresponding preset range, marking the corresponding supervision point as an abnormal point; the method comprises the steps of obtaining the number of abnormal points on a corresponding monitoring pipeline, marking the ratio of the abnormal points to the total number of the monitoring points as an abnormal point analysis value, carrying out average value calculation on the voltage values of all the monitoring points, marking the deviation value of an average value result compared with the median value of a preset standard voltage range as a charging and discharging voltage value, carrying out average value calculation on the current values of all the monitoring points, and marking the deviation value of the average value result compared with the median value of the preset standard current range as a charging and discharging current value; the larger the values of the charging and discharging voltage value and the charging and discharging current value are, the worse the electric power performance condition on the corresponding monitoring pipeline corresponding to the detection time point is;
By the formula Carrying out numerical calculation on the abnormal point analysis value XF, the charging and discharging line voltage value XS and the charging and discharging line current value XL to obtain a charging and discharging line monitoring value XK, wherein, ew1, ew2 and ew3 are preset proportionality coefficients, and ew1 is more than ew3 is more than ew2 is more than 0; and, the larger the value of the charging and discharging monitoring value XK is, the worse the power performance condition on the corresponding monitoring pipeline is synthesized at the corresponding detection time point is; comparing the charging and discharging monitoring value XK with a preset charging and discharging monitoring value, and marking the corresponding detection time point as a pressure flow degradation detection time point if the charging and discharging monitoring value XK exceeds the preset charging and discharging monitoring value and the power performance condition on the corresponding monitoring pipeline of the corresponding detection time point is poor in combination; if the charging and discharging monitoring value XK does not exceed the preset charging and discharging monitoring threshold value, indicating that the electric power performance conditions on the corresponding monitoring pipelines of the corresponding detection time points are better in combination, marking the corresponding detection time points as the voltage flow optimal detection time points;
The line temperature consumption analysis is carried out to obtain a temperature consumption line condition value, which is specifically as follows: marking a part between two adjacent groups of supervision points on a supervision line as a power transmission section, acquiring the input power data and the output power data of the corresponding power transmission section in a detection period, and performing difference value calculation on the input power data and the output power data to obtain power consumption data; the larger the value of the electric energy consumption data is, the larger the operation loss of the corresponding power transmission section in the detection period is, and the more abnormal the energy consumption performance of the corresponding power transmission section is;
collecting surface temperature data and surface temperature rise data of a corresponding power transmission section in a detection period, and obtaining the surface temperature data and the surface temperature rise data of the corresponding power transmission section in the detection period through a formula Carrying out numerical calculation on the surface temperature data WS, the surface heating data WF and the electric energy consumption data WP to obtain a temperature consumption section detection value WK, wherein b1, b2 and b3 are preset proportionality coefficients, and the values of b1, b2 and b3 are positive numbers; and the larger the value of the temperature consumption section detection value WK is, the worse the running condition of the corresponding power transmission section in the detection period is; comparing the temperature consumption section detection value WK with a preset temperature consumption section detection threshold value, and marking the corresponding power transmission section as an inferior table section if the temperature consumption section detection value WK exceeds the preset temperature consumption section detection threshold value, which indicates that the running condition of the corresponding power transmission section in the detection period is poor and the running risk is high;
the method comprises the steps of obtaining the number of inferior table segments in a corresponding supervision line, marking the ratio of the number of inferior table segments to the number of power transmission segments as inferior table segment condition values, carrying out average value calculation on temperature consumption segment detection values of all power transmission segments to obtain temperature consumption detection values, and marking the temperature consumption segment detection value with the largest value as a temperature consumption detection peak value; by the formula Carrying out numerical calculation on the inferior table section condition value WD, the temperature consumption detection value WL and the temperature consumption detection peak value WG to obtain a temperature consumption line condition value WY; wherein, fy1, fy2 and fy3 are preset proportionality coefficients, and fy1 > fy2 > fy3 > 0; and the larger the value of the temperature consumption line condition value WY is, the larger the operation risk synthesis of the corresponding supervision line in the detection period is;
Marking the ratio of the number of the pressure flow inferior detection points to the total number of the detection points in the detection period as pressure flow inferior detection data, and marking the maximum value of the number of the pressure flow inferior detection points between two adjacent groups of pressure flow superior detection points as pressure flow inferior amplitude data; by the formula Carrying out numerical calculation on the pressure flow inferior detection data GK, the pressure flow inferior amplitude data GF and the temperature consumption line condition value GS to obtain a charging and discharging line detection value GY, wherein kp1, kp2 and kp3 are preset proportion coefficients, and the values of kp1, kp2 and kp3 are positive numbers; and the larger the value of the charge and discharge line inspection value GY is, the larger the potential safety hazard of the corresponding supervision line in the detection period is;
comparing the charge and discharge line inspection value GY with a preset charge and discharge line inspection threshold value, and if the charge and discharge line inspection value GY exceeds the preset charge and discharge line inspection threshold value, indicating that the potential safety hazard of the corresponding supervision line in the detection period is large, generating a line inspection abnormal signal of the corresponding supervision line; if the charging and discharging line inspection value GY does not exceed the preset charging and discharging line inspection threshold value, the potential safety hazard of the corresponding supervision line in the detection period is smaller, and a line inspection normal signal of the corresponding supervision line is generated.
The charging and discharging circuit detection module sends a wire inspection normal signal to the lithium battery temperature management module through the lithium battery supervision platform, the lithium battery temperature management module monitors the temperature of the lithium battery in the charging and discharging process after receiving the wire inspection normal signal, a temperature detection abnormal signal or a temperature detection optimal signal is generated through analysis, the temperature detection abnormal signal is sent to the intelligent management and control end through the lithium battery supervision platform, and the intelligent management and control end sends corresponding early warning when receiving the temperature detection abnormal signal so as to remind a manager to conduct reason investigation and analysis and continuously pay attention to the temperature change condition of the lithium battery, and overhaul the lithium battery in time according to the requirement, so that the charging and discharging safety of the lithium battery is further ensured, and the use risk of the lithium battery is reduced; the specific operation process of the lithium battery temperature tube module is as follows:
Setting a plurality of temperature evaluation points in the lithium battery, collecting real-time temperatures of the corresponding temperature evaluation points, establishing a temperature evaluation set of all real-time temperatures of the corresponding temperature evaluation points in a detection period, and marking the maximum value and the average value in the temperature evaluation set as a first temperature occurrence value and a second temperature occurrence value respectively; respectively comparing the first temperature value and the second temperature value with a corresponding preset first temperature threshold value and a corresponding preset second temperature threshold value, and marking the corresponding temperature evaluation point as a temperature risk point if the first temperature value or the second temperature value exceeds the corresponding preset threshold value to indicate that the temperature condition of the corresponding temperature evaluation point in the detection period is abnormal;
After the temperature risk points are determined, the number of the temperature risk points in the lithium battery is obtained and marked as a lithium battery temperature evaluation value, wherein the larger the value of the battery temperature evaluation value is, the more abnormal the lithium battery temperature condition is as a whole; collecting the positions of all temperature risk points, dividing a plurality of temperature evaluation areas in the lithium battery, determining the number of the temperature risk points in the corresponding temperature evaluation areas based on the positions of all the temperature risk points, marking the number as Wen Xianou condition values, and marking the temperature risk area condition value with the largest value as the Wen Xianou amplitude of the lithium battery; the larger the numerical value of Wen Xianou condition values is, the more concentrated the temperature risk points are distributed in the evaluation area, the more abnormal the temperature conditions in the corresponding evaluation area are, and the greater the safety risk is brought;
Respectively comparing the lithium battery temperature evaluation value and the lithium battery Wen Xianou amplitude with a preset lithium battery temperature evaluation threshold value and a preset lithium battery temperature danger area amplitude threshold value, and generating a temperature detection signal if the lithium battery temperature evaluation value or the lithium battery Wen Xianou amplitude exceeds the corresponding preset threshold value, which indicates that the temperature of charging and discharging of the lithium battery is abnormal in the detection period and the safety risk caused by temperature factors is high; if the lithium battery temperature evaluation value and the lithium battery Wen Xianou amplitude do not exceed the corresponding preset threshold values, the lithium battery charging and discharging temperatures in the detection period are indicated to be normal, and a temperature optimal detection signal is generated.
The lithium battery temperature management module sends a temperature optimal detection signal to the lithium battery charging and discharging effect analysis module through the lithium battery supervision platform, after the lithium battery charging and discharging effect analysis module receives the temperature optimal detection signal, the lithium battery charging process or discharging process is subjected to auxiliary detection analysis, an effect measurement qualified signal or an effect measurement unqualified signal is generated through analysis, the effect measurement unqualified signal is sent to the intelligent management and control end through the lithium battery supervision platform, and the intelligent management and control end sends corresponding early warning when receiving the effect measurement unqualified signal so as to remind a manager to timely conduct relevant reason investigation and make targeted improvement measures, so that the charging and discharging risk of the lithium battery is further reduced and the use safety of the lithium battery is ensured; the specific operation process of the lithium battery charge-discharge efficiency analysis module is as follows:
In the charging process of the lithium battery, collecting charging speeds at all moments in a detection period, carrying out average calculation on all the charging speeds, marking an average result as a charging speed segregation value by using a deviation value of a corresponding preset charging speed standard value, carrying out variance calculation on all the charging speeds to obtain a charging speed segregation value, respectively carrying out numerical comparison on the charging speed segregation value and the charging speed segregation value with a preset charging speed segregation threshold value and a preset charging speed segregation threshold value, if the charging speed segregation value or the charging speed segregation value exceeds the corresponding preset threshold value, indicating that the corresponding charging process of the lithium battery is unstable or has larger deviation from the actual charging speed requirement, generating an effective measurement failure signal when the lithium battery is charged, and if the charging speed segregation value and the charging speed segregation value do not exceed the corresponding preset threshold value, indicating that the corresponding charging process of the lithium battery is stable and meets the requirement, generating an effective measurement failure signal when the lithium battery is charged;
In the discharging process of the lithium battery, the internal resistance values of the lithium battery at all times in the detection period are acquired, and it is required to be noted that the performance attenuation condition of the battery can be estimated by analyzing the internal resistance change of the lithium battery in the discharging process, and the increase of the internal resistance can cause more heat and energy loss of the battery in the discharging process, so that the service efficiency of the battery is reduced and the discharging risk is increased; calculating the average value of all the internal resistance values to obtain an internal resistance coefficient, wherein the larger the internal resistance coefficient is, the less favorable the discharge safety of the internal resistance coefficient is ensured; comparing the internal resistance coefficient with a preset internal resistance coefficient threshold value, and if the internal resistance coefficient exceeds the preset internal resistance coefficient threshold value, generating an efficacy test disqualification signal when the lithium battery discharges;
If the internal resistance coefficient does not exceed the preset internal resistance coefficient threshold value, performing difference calculation on internal resistance values of two adjacent moments to obtain an internal resistance increase value, wherein the larger the value of the internal resistance increase value is, the faster the internal resistance increase of the lithium battery in the interval duration of the two adjacent moments is; performing average calculation on all internal resistance increasing values to obtain internal resistance increasing values, performing numerical comparison on the internal resistance increasing values and a preset internal resistance increasing threshold, and marking the ratio of the number of the internal resistance increasing values exceeding the preset internal resistance increasing threshold as the internal resistance overincreasing value;
it should be noted that, the larger the internal resistance acceleration value and the internal resistance over-increment value are, the larger the discharge risk of the lithium battery is; respectively comparing the internal resistance acceleration value and the internal resistance overincrement with a preset internal resistance acceleration threshold value and a preset internal resistance overincrement threshold value, and if the internal resistance acceleration value or the internal resistance overincrement exceeds a corresponding preset threshold value, indicating that the discharge risk of the lithium battery is large, generating an effective measurement disqualification signal when the lithium battery is discharged; if the internal resistance acceleration value and the internal resistance overincrement value are not more than the corresponding preset threshold values, the lithium battery discharge risk is smaller, and then an effective measurement qualification signal is generated when the lithium battery is discharged.
Embodiment two: as shown in fig. 2, the difference between this embodiment and embodiment 1 is that the lithium battery monitoring platform is in communication connection with the charge-discharge protection detection module, where the charge-discharge protection detection module is configured to stop charging when the stored electricity amount of the lithium battery begins to reach a preset electricity amount upper limit threshold value during charging of the lithium battery, and is configured to stop discharging when the stored electricity amount of the lithium battery begins to be lower than the preset electricity amount lower limit threshold value during discharging of the lithium battery, and mark an interval duration between a time when the stored electricity amount begins to reach the preset electricity amount upper limit threshold value and a time when the lithium battery stops charging as a charge protection buffer duration, and mark an interval duration between a time when the stored electricity amount begins to be lower than the preset electricity amount lower limit threshold value and a time when the lithium battery stops discharging as a discharge protection buffer duration during discharging of the lithium battery, and send the charge protection buffer duration or the discharge protection buffer duration during corresponding charging and discharging processes to the lithium battery monitoring platform for storing;
It should be noted that, the larger the values of the charge protection buffer duration and the discharge protection buffer duration are, the worse the charge and discharge protection conditions for the lithium battery are, which is not beneficial to avoiding the occurrence of overcharge and overdischarge conditions; further, the charging protection buffer time length and the discharging protection buffer time length are respectively compared with a preset charging protection buffer time length threshold value and a preset discharging protection buffer time length threshold value, if the charging protection buffer time length or the discharging protection buffer time length exceeds the corresponding preset threshold value, charging and discharging protection early warning information is generated, the charging and discharging protection early warning information is sent to an intelligent management and control end through a lithium battery supervision platform, and the intelligent management and control end displays and sends early warning to the charging and discharging protection early warning information so as to remind corresponding management personnel to grasp the abnormal condition of charging and discharging protection in detail and make reasonable improvement measures in time, so that the safety of the subsequent charging and discharging processes of the lithium battery is ensured.
Embodiment III: as shown in fig. 2, the difference between the embodiment and the embodiment 1 and the embodiment 2 is that the lithium battery supervision platform is in communication connection with the lithium battery performance inspection module, the lithium battery supervision platform sends the abnormal line inspection signal, the abnormal temperature inspection signal and the failure effect inspection signal to the lithium battery performance inspection module, when the lithium battery performance inspection module receives the abnormal line inspection signal, the abnormal temperature inspection signal or the failure effect inspection signal, the lithium battery performance status is comprehensively inspected and evaluated, the failure lithium battery performance inspection signal or the failure lithium battery performance inspection signal is generated through analysis, and the failure lithium battery performance inspection signal is sent to the intelligent management and control end through the lithium battery supervision platform, and corresponding early warning is sent when the intelligent management and control end receives the failure lithium battery performance inspection signal, so as to remind a manager to replace the lithium battery in time, thereby ensuring the subsequent use safety and use performance; the specific operation process of the lithium battery performance test module is as follows:
Setting a management period, preferably sixty days; collecting the occurrence times of faults of the lithium battery in a management period, carrying out average calculation on all charging protection buffer time lengths of the lithium battery in the management period to obtain a charging protection value, and carrying out average calculation on all discharging protection buffer time lengths of the lithium battery in the management period to obtain a discharging protection value; calculating the time difference between the current date and the production date of the lithium battery to obtain a lithium battery production value, marking the exceeding value of the theoretical maximum stored electric quantity of the lithium battery compared with the actual maximum stored electric quantity as an electricity storage early warning value, and collecting all electric quantity falling speeds of the lithium battery in an unoperated state in a management period, wherein the electric quantity falling speeds are data values representing the ratio of the electric quantity consumed by the lithium battery in the corresponding unoperated state to the unoperated state duration, and calculating the average value of all the electric quantity falling speeds to obtain a dormant electric loss value;
By the formula Carrying out numerical calculation on the fault occurrence times LG, the charging protection value LS, the discharging protection value LP, the lithium battery production value LK, the electricity storage early warning value LY and the dormancy electricity loss value LQ to obtain a lithium battery table condition value LX, wherein a1, a2, a3, a4, a5 and a6 are preset proportionality coefficients, and the values of a1, a2, a3, a4, a5 and a6 are positive numbers; and, the larger the numerical value of the lithium battery meter condition value LX is, the worse the performance condition of the lithium battery is; comparing the lithium battery condition value LX with a preset lithium battery condition threshold value, and if the lithium battery condition value LX exceeds the preset lithium battery condition threshold value, indicating that the performance condition of the lithium battery is poor, generating a lithium battery performance detection failure signal; if the lithium battery condition value LX does not exceed the preset lithium battery condition threshold value, indicating that the performance condition of the lithium battery is good, generating a lithium battery performance qualification signal.
The working principle of the invention is as follows: when the intelligent control system is used, a charging circuit and a discharging circuit of a lithium battery are obtained through the charging and discharging circuit detection module, the corresponding circuits are monitored and analyzed in the charging and discharging process of the lithium battery, a normal line detection signal or an abnormal line detection signal is generated, the temperature of the lithium battery is monitored in the charging and discharging process of the lithium battery through the lithium battery temperature pipe module when the normal line detection signal is generated, a temperature risk point is determined through analysis, a temperature abnormal detection signal or a temperature optimal detection signal is generated, the charging process or the discharging process of the lithium battery is subjected to auxiliary detection and analysis through the lithium battery charging and discharging effect analysis module when the temperature optimal detection signal is generated, the effect qualified detection signal or the effect unqualified detection signal is analyzed, and the intelligent control end is enabled to send corresponding early warning when the abnormal line detection signal, the temperature abnormal detection signal or the effect unqualified detection signal is generated, so that management personnel are reminded of timely carrying out relevant investigation reasons and making targeted improvement measures, the charging and discharging risks of the lithium battery are remarkably reduced, and the use safety of the lithium battery is ensured.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The lithium battery charge and discharge management system based on data analysis is characterized by comprising a lithium battery supervision platform, a charge and discharge line detection module, a lithium battery temperature management module, a lithium battery charge and discharge effect analysis module and an intelligent management and control end; the charging and discharging circuit detection module is used for acquiring a charging circuit and a discharging circuit of the lithium battery, monitoring the charging circuit in the charging process of the lithium battery, monitoring the discharging circuit in the discharging process of the lithium battery, generating a normal line detection signal or an abnormal line detection signal of the corresponding circuit through analysis, transmitting the abnormal line detection signal of the corresponding circuit to the intelligent management and control end through the lithium battery supervision platform, and transmitting the normal line detection signal to the lithium battery temperature management module through the lithium battery supervision platform;
After the lithium battery temperature tube module receives the line inspection normal signal, temperature monitoring is carried out on the lithium battery in the charging and discharging process, a temperature risk point is determined through analysis, a temperature inspection signal or a temperature inspection optimal signal is generated, the temperature inspection optimal signal is sent to an intelligent control end through a lithium battery supervision platform, and the temperature inspection optimal signal is sent to a lithium battery charging and discharging efficiency analysis module through the lithium battery supervision platform; after the lithium battery charging and discharging effect analysis module receives the temperature optimal detection signal, carrying out auxiliary detection analysis on the charging process or the discharging process of the lithium battery, generating an effect measurement qualified signal or an effect measurement unqualified signal through analysis, and sending the effect measurement unqualified signal to the intelligent management and control end through the lithium battery supervision platform; the intelligent control terminal receives the abnormal signal of the wire inspection, the abnormal signal of the temperature inspection or the disqualified signal of the effective inspection and sends out corresponding early warning;
the specific operation process of the charge and discharge line detection module comprises the following steps:
Setting a detection period, defining a plurality of detection time points in the detection period, marking a charging circuit and a discharging circuit of a lithium battery as monitoring circuits, setting a plurality of monitoring points on the monitoring circuits, judging the corresponding detection time points as pressure flow inferior detection time points or pressure flow superior detection time points through circuit electrical detection analysis, marking the ratio of the number of the pressure flow inferior detection time points in the detection period to the total number of the detection time points as pressure flow inferior detection data, and marking the maximum value of the number of the pressure flow inferior detection time points between two adjacent groups of pressure flow superior detection time points as pressure flow inferior amplitude data;
Carrying out line temperature analysis to obtain a temperature consumption line condition value, carrying out numerical calculation on the pressure flow inferior detection data, the pressure flow inferior amplitude data and the temperature consumption line condition value to obtain a charging and discharging line detection value, and generating a line detection abnormal signal of a corresponding supervision line if the charging and discharging line detection value exceeds a preset charging and discharging line detection threshold value; if the charging and discharging line inspection value does not exceed the preset charging and discharging line inspection threshold value, generating a line inspection normal signal of the corresponding supervision line;
The specific analysis process of the line electrical inspection analysis is as follows:
Collecting voltage values and current values of each supervision point on a corresponding supervision line at corresponding detection time points in the charging or discharging process of the lithium battery, performing variance calculation on the voltage values of all the supervision points to obtain a voltage supervision coefficient, and performing variance calculation on the current values of all the supervision points to obtain a current supervision coefficient; if the voltage supervision coefficient or the current supervision coefficient exceeds the corresponding preset threshold value, marking the corresponding detection time point as a voltage flow deterioration detection time point;
If the voltage supervision coefficient and the current supervision coefficient do not exceed the corresponding preset threshold values, respectively carrying out numerical comparison on the voltage value and the current value of the corresponding supervision point and the preset standard voltage range and the preset standard current range, and if the voltage value or the current value is not in the corresponding preset range, marking the corresponding supervision point as an abnormal point; the method comprises the steps of obtaining the number of abnormal points on a corresponding monitoring pipeline, marking the ratio of the abnormal points to the total number of the monitoring points as an abnormal point analysis value, carrying out average value calculation on the voltage values of all the monitoring points, marking the deviation value of an average value result compared with the median value of a preset standard voltage range as a charging and discharging voltage value, and obtaining a charging and discharging current value in the same way;
carrying out numerical calculation on the abnormal point analysis value, the charging and discharging voltage value and the charging and discharging current value to obtain a charging and discharging monitoring value, and marking the corresponding detection time point as a pressure flow inferior detection time point if the charging and discharging monitoring value exceeds a preset charging and discharging monitoring threshold value; if the charging and discharging monitoring value does not exceed the preset charging and discharging monitoring value, marking the corresponding detection time point as a pressure flow optimal detection time point;
The specific analysis process of the line temperature consumption analysis is as follows:
marking a part between two adjacent groups of supervision points on a supervision line as a power transmission section, acquiring the input power data and the output power data of the corresponding power transmission section in a detection period, and performing difference value calculation on the input power data and the output power data to obtain power consumption data;
the surface temperature data and the surface heating data of the corresponding power transmission section in the detection period are collected, the temperature consumption section detection value is obtained by carrying out numerical calculation on the surface temperature data, the surface heating data and the electric energy consumption data, and if the temperature consumption section detection value exceeds a preset temperature consumption section detection threshold value, the corresponding power transmission section is marked as an inferior table section;
The method comprises the steps of obtaining the number of inferior table segments, marking the ratio of the number of inferior table segments to the number of power transmission segments as inferior table segment condition values, carrying out average value calculation on temperature consumption segment detection values of all power transmission segments to obtain temperature consumption detection values, and marking the temperature consumption segment detection value with the largest value as a temperature consumption detection peak value; carrying out numerical calculation on the inferior table section Kuang Zhi, the temperature consumption detection value and the temperature consumption detection peak value to obtain a temperature consumption line condition value;
The specific operation process of the lithium battery temperature tube module comprises the following steps:
Setting a plurality of temperature evaluation points in the lithium battery, collecting real-time temperatures of the corresponding temperature evaluation points, establishing a temperature evaluation set of all real-time temperatures of the corresponding temperature evaluation points in a detection period, and marking the maximum value and the average value in the temperature evaluation set as a first temperature occurrence value and a second temperature occurrence value respectively; if the first temperature occurrence value or the second temperature occurrence value exceeds the corresponding preset threshold value, marking the corresponding temperature evaluation point as a temperature risk point;
The specific operation process of the lithium battery charging and discharging effect analysis module comprises the following steps:
In the lithium battery charging process, collecting charging speeds at all moments in a detection period, carrying out average calculation on all the charging speeds, marking an average result as a charging speed segregation value by using a deviation value of a corresponding preset charging speed standard value, carrying out variance calculation on all the charging speeds to obtain a charging speed segregation value, respectively carrying out numerical comparison on the charging speed segregation value and the charging speed segregation value with a preset charging speed segregation threshold value and a preset charging speed segregation threshold value, generating an effect measurement disqualification signal when the lithium battery is charged if the charging speed segregation value or the charging speed segregation value exceeds the corresponding preset threshold value, and generating an effect measurement qualification signal when the lithium battery is charged if the charging speed segregation value and the charging speed segregation value do not exceed the corresponding preset threshold value.
2. The lithium battery charge and discharge management system based on data analysis according to claim 1, wherein after determining temperature risk points, the number of the temperature risk points in the lithium battery is obtained and marked as lithium battery temperature evaluation values, positions of all the temperature risk points are collected, a plurality of temperature evaluation areas are marked in the lithium battery, the number of the temperature risk points in the corresponding temperature evaluation areas is determined and marked as Wen Xianou condition values based on the positions of all the temperature risk points, and the temperature risk area condition value with the largest value is marked as the Wen Xianou amplitude of the lithium battery; if the lithium battery temperature evaluation value or the lithium battery Wen Xianou amplitude exceeds the corresponding preset threshold value, a temperature detection signal is generated; and if the lithium battery temperature evaluation value and the lithium battery Wen Xianou amplitude do not exceed the corresponding preset threshold values, generating a temperature optimal detection signal.
3. The lithium battery charge and discharge management system based on data analysis according to claim 1, wherein the specific operation process of the lithium battery charge and discharge efficiency analysis module further comprises:
in the discharging process of the lithium battery, acquiring internal resistance values of the lithium battery at all times in a detection period, carrying out average calculation on all internal resistance values to obtain an internal resistance coefficient, and generating an effective measurement failure signal when the lithium battery is discharged if the internal resistance coefficient exceeds a preset internal resistance coefficient threshold value; if the internal resistance coefficient does not exceed the preset internal resistance coefficient threshold value, performing difference calculation on internal resistance values at two adjacent moments to obtain internal resistance increasing values, performing average calculation on all the internal resistance increasing values to obtain internal resistance increasing values, and marking the ratio of the number of the internal resistance increasing values exceeding the preset internal resistance increasing threshold value as internal resistance overincreasing value; if the internal resistance acceleration value or the internal resistance increment exceeds a corresponding preset threshold value, generating an efficiency measurement failure signal when the lithium battery discharges; and if the internal resistance acceleration value and the internal resistance overincrement value do not exceed the corresponding preset threshold values, generating an efficiency test qualified signal when the lithium battery is discharged.
4. The lithium battery charge and discharge management system based on data analysis according to claim 1, wherein the lithium battery supervision platform is in communication connection with both the charge and discharge protection detection module and the lithium battery performance detection module, the charge and discharge protection detection module is used for stopping charging when the stored electricity amount of the lithium battery starts to reach a preset electricity amount upper limit threshold value in the charging process of the lithium battery, stopping discharging when the stored electricity amount of the lithium battery starts to be lower than a preset electricity amount lower limit threshold value in the discharging process of the lithium battery, and marking an interval duration between the time when the stored electricity amount starts to reach the preset electricity amount upper limit threshold value and the time when the lithium battery stops to be a charging protection buffer duration, and similarly acquiring the charging protection buffer duration and transmitting the charging protection buffer duration or the discharging protection buffer duration of the corresponding charging and discharging process to the lithium battery supervision platform for storage;
the lithium battery supervision platform sends the abnormal signal, the abnormal signal and the failure signal to the lithium battery performance inspection module, and when the lithium battery performance inspection module receives the abnormal signal, the abnormal signal or the failure signal, the lithium battery performance condition is comprehensively inspected and evaluated, the failure signal or the failure signal is generated through analysis, and the failure signal is sent to the intelligent control end through the lithium battery supervision platform.
5. The lithium battery charge and discharge management system based on data analysis according to claim 4, wherein the specific operation process of the lithium battery performance test module is as follows:
Setting a management period, namely carrying out numerical calculation on the occurrence times of faults, a charging protection value, a discharging protection value, a lithium battery production value, a power storage early warning value and a dormant power loss value to obtain a lithium battery condition value, and generating a lithium battery performance inspection disqualification signal if the lithium battery condition value exceeds a preset lithium battery condition threshold value; and if the lithium battery condition value does not exceed the preset lithium battery condition threshold value, generating a lithium battery performance qualification signal.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210097885A (en) * | 2020-01-30 | 2021-08-10 | 한국철도기술연구원 | Abnormality detecting system of wireless power feeding lines and abnormality detecting method using the system |
| CN113300436A (en) * | 2021-06-11 | 2021-08-24 | 上海玫克生储能科技有限公司 | Dynamic management and control method for lithium battery energy storage system |
| CN116300652A (en) * | 2023-04-06 | 2023-06-23 | 合肥元贞电力科技股份有限公司 | Power control cabinet on-line monitoring system based on data analysis |
| CN117318213A (en) * | 2023-09-11 | 2023-12-29 | 长兴太湖能谷科技有限公司 | Battery charge and discharge intelligent management system based on data analysis |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210097885A (en) * | 2020-01-30 | 2021-08-10 | 한국철도기술연구원 | Abnormality detecting system of wireless power feeding lines and abnormality detecting method using the system |
| CN113300436A (en) * | 2021-06-11 | 2021-08-24 | 上海玫克生储能科技有限公司 | Dynamic management and control method for lithium battery energy storage system |
| CN116300652A (en) * | 2023-04-06 | 2023-06-23 | 合肥元贞电力科技股份有限公司 | Power control cabinet on-line monitoring system based on data analysis |
| CN117318213A (en) * | 2023-09-11 | 2023-12-29 | 长兴太湖能谷科技有限公司 | Battery charge and discharge intelligent management system based on data analysis |
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