CN114188623A - Lithium battery pack supervision and early warning system with anti-overcharging protection function - Google Patents
Lithium battery pack supervision and early warning system with anti-overcharging protection function Download PDFInfo
- Publication number
- CN114188623A CN114188623A CN202111471430.8A CN202111471430A CN114188623A CN 114188623 A CN114188623 A CN 114188623A CN 202111471430 A CN202111471430 A CN 202111471430A CN 114188623 A CN114188623 A CN 114188623A
- Authority
- CN
- China
- Prior art keywords
- charging
- lithium battery
- time
- signal
- server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/44—Methods for charging or discharging
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00302—Overcharge protection
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a lithium battery pack supervision and early warning system with an overcharge protection function, which belongs to the field of lithium batteries and is used for solving the problems that a lithium battery cannot monitor the charging condition, is easy to overcharge and cannot intelligently remind charging, and comprises a charging analysis module, an intelligent early warning module, a charging monitoring module and an intelligent charging lifting module, wherein the charging analysis module is used for carrying out charging analysis on the lithium battery, the intelligent early warning module is used for carrying out intelligent early warning on the charging work of the lithium battery, the intelligent charging lifting module is used for carrying out intelligent reminding charging on the lithium battery, and the charging monitoring module is used for monitoring the charging environment of the lithium battery. Charging is conveniently and intelligently reminded according to the real-time battery capacity of the lithium battery.
Description
Technical Field
The invention belongs to the field of lithium batteries, relates to a supervision early warning technology, and particularly relates to a lithium battery pack supervision early warning system with an overcharge protection function.
Background
Lithium batteries are batteries which use lithium metal or lithium alloy as positive/negative electrode materials and use non-aqueous electrolyte solution, and have very high requirements on the environment due to the very active chemical characteristics of lithium metal, so that the lithium batteries have become the mainstream along with the development of scientific technology, and can be roughly divided into two types: lithium metal batteries and lithium ion batteries, lithium ion batteries do not contain lithium in a metallic state and are rechargeable;
in the prior art, charging analysis and charging monitoring cannot be achieved during charging of the lithium battery, the charging environment and the charging condition in the charging process of the lithium battery are difficult to control, intelligent reminding cannot be performed after charging is finished, the lithium battery is overcharged, and the service life of the lithium battery is greatly damaged; meanwhile, when the lithium battery is used, the real-time battery capacity cannot be intelligently reminded to charge;
therefore, a lithium battery pack supervision and early warning system with an overcharge protection function is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a lithium battery pack supervision and early warning system with an overcharge protection function.
The technical problem to be solved by the invention is as follows:
(1) how to analyze and monitor the charging condition when the lithium battery is charged;
(2) how to avoid overcharge after the lithium battery is charged;
(3) how to intelligently remind the user to charge according to the real-time battery capacity of the lithium battery.
The purpose of the invention can be realized by the following technical scheme:
the lithium battery pack supervision and early warning system with the overcharge protection function comprises a data acquisition module, a charge analysis module, an intelligent early warning module, a charge monitoring module, an intelligent charging lifting module, a user terminal and a server, wherein the user terminal is used for registering and logging in the system after a charger inputs personal information and sending the personal information to the user terminal; the data acquisition module is used for acquiring charging data and charging environment data of the lithium battery and sending the charging data and the charging environment data to the server, the server sends the charging data and the charging environment data to the charging analysis module, the charging analysis module is used for performing charging analysis on the lithium battery to obtain charging end time of the lithium battery, and the charging analysis module sends the charging end time of the lithium battery to a corresponding user terminal through the server;
when the charging end time is reached, the intelligent early warning module carries out intelligent early warning on the charging work of the lithium battery, generates a charging completion signal, a short message reminding signal or a forced power-off signal and feeds the charging completion signal, the short message reminding signal or the forced power-off signal back to the server, and simultaneously records the forced power-off times of the lithium battery, the intelligent early warning module feeds the forced power-off times of the lithium battery back to the server, and the server stores the forced power-off times of the lithium battery;
the server also sends the charging data to an intelligent charging module, the intelligent charging module is used for intelligently reminding charging of the lithium battery and generating an emergency charging signal, an electric quantity depletion signal or a sufficient charging signal, and the intelligent charging module sends the emergency charging signal, the electric quantity depletion signal or the sufficient charging signal to a corresponding user terminal through the server;
the lithium cell is in the charging process, the server still with charging data and charging environment data transmission to the monitoring module that charges, the monitoring module that charges is used for monitoring the charging environment of lithium cell, and the normal signal or the unusual signal of charging are generated in the monitoring, the monitoring module that charges sends the normal signal of charging and the unusual signal of charging to user terminal through the server, and according to the unusual signal of charging, the unusual number of times of charging increases once simultaneously.
Further, the personal information comprises a name and a mobile phone number of real-name authentication;
the charging data comprises initial charging electric quantity, charging starting time, charging power, battery capacity, charging real-time electric quantity and forced disconnection times, and the charging environment data comprises initial charging temperature, charging current, charging voltage and charging real-time temperature.
Further, the charging analysis process of the charging analysis module is specifically as follows:
the method comprises the following steps: marking the lithium battery as u, u is 1, 2, … …, z, and z is a positive integer; acquiring the charging start time of the lithium battery, and recording the charging start time as CKTu;
step two: acquiring the charging current of the lithium battery during charging, and marking the charging current as CDLu; acquiring the battery capacity of the lithium battery, and marking the battery capacity as DRu;
step three: calculating to obtain an estimated charging time YTu of the lithium battery by combining a charging time calculation formula YTu of DRu/CDLu multiplied by 60;
step four: and adding the estimated charging time to the charging starting time to obtain the charging ending time CJTu of the lithium battery.
Further, the working process of the intelligent early warning module is as follows:
step S1: acquiring the current time TD1 of the system and the charging end time of a plurality of lithium batteries;
if TD is less than CJTu, calculating to obtain the residual charging time length SYTu of the lithium battery by using a formula SYTu-CJTu-TD 1, and generating a charging completion signal after the lithium battery passes through the residual charging time length SYTu and immediately feeding back the charging completion signal to the server;
if TD is larger than or equal to CJTu, generating a charging completion signal and immediately feeding back the charging completion signal to the server, and the server sends the charging completion signal to the user terminal, records the sending time of the charging completion signal and records the sending time as the signal sending time;
step S2: if the user terminal checks the charging completion signal, feeding back a charging stop signal, and after receiving the charging stop signal, the server controls the lithium battery to stop charging;
step S3: if the user terminal does not check the charging completion signal, generating a short message reminding signal after time t1 and immediately feeding back the short message reminding signal to the server, generating a short message after the short message reminding signal by the server and sending the short message to the user terminal, if the user terminal checks the short message reminding signal, feeding back a charging stop signal, and after receiving the charging stop signal, the server controls the lithium battery to stop charging;
step S4: if the user terminal does not check the short message reminding signal, a forced power-off signal is generated after time t2 and fed back to the server, the server receives the forced power-off signal and then controls the lithium battery to stop charging, and meanwhile, the times of the lithium battery generating the forced power-off signal are recorded and recorded as forced power-off times QDu; wherein t1 > t 2.
Further, the working steps of the intelligent charging module are as follows:
step SS 1: acquiring the charging times CCu of the lithium battery in one month before the system time, and recording each charging of the lithium battery as ui, wherein i is 1, 2, … …, x is a positive integer, and i represents the number of the charging times;
step SS 2: acquiring the charging start time and the charging end time of the lithium battery during each charging, and subtracting the charging end time from the charging start time of two adjacent times to obtain the electricity consumption time YTui-1 of the lithium battery after each charging;
step SS 3: combination formula
Calculating to obtain the average electricity utilization time length YJTu of the lithium battery after each charging;
step SS 4: comparing the battery capacity DRu of the lithium battery with the electricity consumption average time length YJTu to obtain the electricity consumption rate HDSu of the lithium battery; the method comprises the steps of obtaining real-time electric quantity SDu of a lithium battery, and dividing the real-time electric quantity by a power consumption rate to obtain the remaining service time SSTU of the real-time electric quantity of the lithium battery;
step SS 5: if SSTU < X1, generating an emergency charging signal;
if X1 is less than or equal to SSTU and less than X2, generating an electricity quantity depletion signal;
if X2 is less than or equal to SSTU, generating a sufficient charging signal; x1 and X2 are both time thresholds, X1 < X2.
Further, the monitoring process of the charging monitoring module is specifically as follows:
step P1: setting a plurality of charging monitoring time points To within the estimated charging time length of the lithium battery, wherein o is 1, 2, … …, v and v are positive integers, and o represents the number of the charging monitoring time points;
step P2: acquiring the charging current of the lithium battery at the charging monitoring time point, and marking the charging current as DLuTo; acquiring the charging real-time temperature of the lithium battery at the charging monitoring time point, and marking the charging real-time temperature as WDuTo;
step P3: calculating to obtain the current fluctuation average rate JBLu and the temperature fluctuation average rate JBWu of the lithium battery in the estimated charging duration;
step P4: calculating difference values of the current fluctuation average speed JBLu and the temperature fluctuation average speed JBWu and a set threshold value respectively and taking absolute values to obtain a current fluctuation speed difference CJBLu and a temperature fluctuation speed difference CJBWu;
step P5: calculating to obtain a fluctuation value BDu of the lithium battery in the estimated charging duration by using a formula BDu-CJBLu × d1+ CJBWu × d 2; in the formula, d1 and d2 are weight coefficients with fixed values, and the values of a1 and a2 are both greater than zero;
step P6: if BDu is less than Y1, generating a charging normal signal;
if Y1 is less than or equal to BDu, generating a charging abnormal signal; y1 is a time threshold.
Further, the calculation steps of the current fluctuation average rate JBLu and the temperature fluctuation average rate JBWu of the lithium battery in the estimated charging duration are as follows:
step Q1: acquiring charging currents at a charging monitoring time point T1 and a charging monitoring time point T2, which are respectively marked as DLuT1 and DLuT2, and marking a time period from the charging monitoring time point T1 to the charging monitoring time point T2 as a first time period J1;
step Q2: combination formula
Calculating to obtain a current fluctuation rate BLuJ1 of the lithium battery in the first time period:
step Q3: by analogy, current fluctuation rates BLuJ2 and BLuJo-1 of the lithium battery in the second time period, … … and the o-1 time period are obtained through calculation respectively;
step Q4: counting the number of time periods, and adding and summing the current fluctuation rates of the lithium batteries in each time period to divide the number of the time periods to obtain the current fluctuation average rate JBLu of the lithium batteries in the estimated charging time;
step Q5: meanwhile, the average rate JBWu of the temperature fluctuation of the lithium battery in the estimated charging duration is obtained through calculation according to the steps.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention is used for charging and analyzing the lithium battery through the charging analysis module, the estimated charging time of the lithium battery is obtained through analysis, the intelligent early warning module is used for intelligently early warning the charging work of the lithium battery, a charging completion signal, a short message reminding signal or a forced power-off signal is generated according to time points after the charging is finished, e, the charging environment of the lithium battery is monitored through the charging monitoring module, a current fluctuation speed difference and a temperature fluctuation speed difference are obtained by setting a plurality of charging monitoring time points, the fluctuation value of the lithium battery in the estimated charging time is calculated by combining a formula with the current fluctuation speed difference and the temperature fluctuation speed difference, a charging normal signal or a charging abnormal signal is generated after the fluctuation value is compared with a fluctuation threshold value, the charging condition is analyzed and monitored during the charging of the battery, and the charging environment of the lithium battery is monitored in real time, the lithium battery has a good charging environment, and meanwhile, the power is cut off in time when the lithium battery is charged, so that the influence of the overcharge of the lithium battery on the service life is avoided;
2. according to the intelligent reminding charging method and the intelligent reminding charging system, the intelligent reminding charging is carried out on the lithium battery through the intelligent reminding charging module, the remaining use duration of the real-time electric quantity of the lithium battery is calculated according to the average electricity consumption duration and the electricity consumption rate, an emergency charging signal, an electricity quantity depletion signal or a sufficient charging signal are generated after the remaining use duration is compared with a threshold, and the lithium battery is convenient to intelligently remind charging according to the real-time battery capacity of the lithium battery.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a block diagram of another system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the lithium battery pack supervision and early warning system with an overcharge protection function includes a data acquisition module, a charge analysis module, an intelligent early warning module, a charge monitoring module, an intelligent charging module, a user terminal and a server;
the user terminal is used for registering and logging in the system after the charging personnel inputs personal information, and sending the personal information to the user terminal, wherein the personal information comprises a name and a mobile phone number authenticated by a real name; the data acquisition module is used for acquiring the charging data and the charging environment data of the lithium battery and sending the charging data and the charging environment data to the server;
the charging environment data comprises charging initial temperature, charging current, charging voltage, charging real-time temperature and the like;
the server sends the charging data and the charging environment data to the charging analysis module, the charging analysis module is used for charging and analyzing the lithium battery, and the charging analysis process specifically comprises the following steps:
the method comprises the following steps: marking the lithium battery as u, u is 1, 2, … …, z, and z is a positive integer; acquiring the charging start time of the lithium battery, and recording the charging start time as CKTu;
step two: acquiring the charging current of the lithium battery during charging, and marking the charging current as CDLu; acquiring the battery capacity of the lithium battery, and marking the battery capacity as DRu;
step three: the estimated charging time YTu of the lithium battery is calculated by combining a charging time calculation formula, wherein the formula is as follows:
YTu＝DRu/CDLu×60；
step four: adding the estimated charging time duration to the charging start time to obtain the charging end time CJTu of the lithium battery;
the charging analysis module feeds back the charging end time of the lithium battery to the server, and the server sends the charging end time of the lithium battery to the corresponding user terminal;
when the charging end time is reached, the intelligent early warning module is used for intelligently early warning the charging work of the lithium battery, and the working process is as follows:
step S1: acquiring the current time TD1 of the system and the charging end time of a plurality of lithium batteries;
if TD is less than CJTu, calculating to obtain the residual charging time length SYTu of the lithium battery by using a formula SYTu-CJTu-TD 1, and generating a charging completion signal after the lithium battery passes through the residual charging time length SYTu and immediately feeding back the charging completion signal to the server;
if TD is larger than or equal to CJTu, generating a charging completion signal and immediately feeding back the charging completion signal to the server, and the server sends the charging completion signal to the user terminal, records the sending time of the charging completion signal and records the sending time as the signal sending time;
step S2: if the user terminal checks the charging completion signal, feeding back a charging stop signal, and after receiving the charging stop signal, the server controls the lithium battery to stop charging;
step S3: if the user terminal does not check the charging completion signal, generating a short message reminding signal after time t1 and immediately feeding back the short message reminding signal to the server, generating a short message after the short message reminding signal by the server and sending the short message to the user terminal, if the user terminal checks the short message reminding signal, feeding back a charging stop signal, and after receiving the charging stop signal, the server controls the lithium battery to stop charging;
step S4: if the user terminal does not check the short message reminding signal, a forced power-off signal is generated after time t2 and fed back to the server, the server receives the forced power-off signal and then controls the lithium battery to stop charging, and meanwhile, the times of the lithium battery generating the forced power-off signal are recorded and recorded as forced power-off times QDu; wherein t1 is more than t 2;
the intelligent early warning module feeds back the forced disconnection times of the lithium battery to the server, and the server stores the forced disconnection times of the lithium battery;
the server still carries the module of filling with charging data transmission to intelligence, and the module is carried to intelligence is used for carrying out the intelligence to the lithium cell and reminds to charge, and the working procedure specifically as follows:
step SS 1: acquiring the charging times CCu of the lithium battery in one month before the system time, and recording each charging of the lithium battery as ui, wherein i is 1, 2, … …, x is a positive integer, and i represents the number of the charging times;
step SS 2: acquiring the charging start time and the charging end time of the lithium battery during each charging, and subtracting the charging end time from the charging start time of two adjacent times to obtain the electricity consumption time YTui-1 of the lithium battery after each charging;
for example: the charge end time of Cu1 was 20: 00, charge start time of Cu2 is 24: 00, the electricity consumption time length YTu1 of the current charging of the lithium battery is 4 hours (namely 24: 00-20: 00), and so on, the electricity consumption time length of the last charging is YTui-1;
step SS 3: combination formula
Calculating to obtain the average electricity utilization time length YJTu of the lithium battery after each charging;
step SS 4: comparing the battery capacity DRu of the lithium battery with the electricity consumption average time length YJTu to obtain the electricity consumption rate HDSu of the lithium battery; the method comprises the steps of obtaining real-time electric quantity SDu of a lithium battery, and dividing the real-time electric quantity by a power consumption rate to obtain the remaining service time SSTU of the real-time electric quantity of the lithium battery;
step SS 5: if SSTU < X1, generating an emergency charging signal;
if X1 is less than or equal to SSTU and less than X2, generating an electricity quantity depletion signal;
if X2 is less than or equal to SSTU, generating a sufficient charging signal; x1 and X2 are both time thresholds, X1 is less than X2;
the intelligent charging promoting module feeds back an emergency charging signal, an electric quantity depletion signal or a sufficient charging signal to the server, and the server sends the emergency charging signal, the electric quantity depletion signal or the sufficient charging signal to the corresponding user terminal;
the lithium cell is at the charging process, and the server still sends charging data and charging environment data to the monitoring module that charges, and the monitoring module that charges is used for monitoring the charging environment of lithium cell, and the monitoring process specifically as follows:
step P1: setting a plurality of charging monitoring time points To within the estimated charging time length of the lithium battery, wherein o is 1, 2, … …, v and v are positive integers, and o represents the number of the charging monitoring time points;
step P2: acquiring the charging current of the lithium battery at the charging monitoring time point, and marking the charging current as DLuTo; acquiring the charging real-time temperature of the lithium battery at the charging monitoring time point, and marking the charging real-time temperature as WDuTo;
step P3: calculating to obtain the current fluctuation average rate JBLu and the temperature fluctuation average rate JBWu of the lithium battery in the estimated charging duration, which specifically comprises the following steps:
step Q1: acquiring charging currents at a charging monitoring time point T1 and a charging monitoring time point T2, which are respectively marked as DLuT1 and DLuT2, and marking a time period from the charging monitoring time point T1 to the charging monitoring time point T2 as a first time period J1;
step Q2: combination formula
Calculating to obtain a current fluctuation rate BLuJ1 of the lithium battery in the first time period:
step Q3: by analogy, current fluctuation rates BLuJ2 and BLuJo-1 of the lithium battery in the second time period, … … and the o-1 time period are obtained through calculation respectively;
step Q4: counting the number of time periods, and adding and summing the current fluctuation rates of the lithium batteries in each time period to divide the number of the time periods to obtain the current fluctuation average rate JBLu of the lithium batteries in the estimated charging time;
step Q5: meanwhile, calculating to obtain the temperature fluctuation average rate JBWu of the lithium battery in the estimated charging duration according to the steps;
step P4: calculating difference values of the current fluctuation average speed JBLu and the temperature fluctuation average speed JBWu and a set threshold value respectively and taking absolute values to obtain a current fluctuation speed difference CJBLu and a temperature fluctuation speed difference CJBWu;
step P5: calculating to obtain a fluctuation value BDu of the lithium battery in the estimated charging duration by using a formula BDu-CJBLu × d1+ CJBWu × d 2; in the formula, d1 and d2 are weight coefficients with fixed values, and the values of a1 and a2 are both greater than zero;
step P6: if BDu is less than Y1, generating a charging normal signal;
if Y1 is less than or equal to BDu, generating a charging abnormal signal; y1 is a time threshold;
the charging monitoring module feeds back the charging normal signal and the charging abnormal signal to the server, the server sends the charging normal signal and the charging abnormal signal to the user terminal, and the number of times of charging abnormal is increased once according to the charging abnormal signal;
the system further comprises a supervision and division module, the supervision and division module is used for supervision and division of the lithium battery during charging, and the supervision and division process specifically comprises the following steps:
step W1: acquiring the forced disconnection times QDu and the abnormal charging times CYu of the lithium battery;
step W2: calculating an abnormal value YCu of the lithium battery by combining the formula YCu of QDu × a1+ CYu × a 2; in the formula, a1 and a2 are proportionality coefficients with fixed numerical values, and the values of a1 and a2 are both greater than zero;
step W3: acquiring total times CZu and total charging time TZu of the lithium battery, and calculating a charging value CDu of the lithium battery by using a formula CDu of CZu × b1+ TZu × b 2; in the formula, b1 and b2 are proportionality coefficients with fixed numerical values, and the values of b1 and b2 are both larger than zero;
step W4: if the abnormal value and the charging value of the lithium battery are both larger than or equal to the corresponding preset values, the supervision level of the lithium battery is a first-level;
if any one of the abnormal value or the charging value of the lithium battery is smaller than the corresponding preset value, the supervision level of the lithium battery is a secondary level;
if the abnormal value and the charging value of the lithium battery are both smaller than the corresponding preset values, the supervision level of the lithium battery is a third level;
the monitoring and dividing module sends the monitoring level of the lithium battery to the server, and the server monitors the lithium battery according to the monitoring level, wherein the monitoring comprises monitoring of various data such as temperature, current, voltage, charging time and the like;
the supervision degree of the first grade is greater than that of the second grade, and the supervision degree of the second grade is greater than that of the third grade.
The lithium battery pack supervision and early warning system with the overcharge protection function collects the charging data and the charging environment data of the lithium battery through the data acquisition module when in work, and sends the charging data and the charging environment data to the server, the server sends the charging data and the charging environment data to the charging analysis module, the charging analysis module is used for performing charging analysis on the lithium battery to obtain charging start time CKTu of the lithium battery, charging current CDLu during charging and battery capacity DRu of the lithium battery, an estimated charging time YTu of the lithium battery is obtained by combining a charging time calculation formula YTu of DRu/CDLu multiplied by 60, the charging start time and the estimated charging time are added to obtain charging end time CJTu of the lithium battery, the charging analysis module feeds the charging end time of the lithium battery back to the server, and the server sends the charging end time of the lithium battery to a corresponding user terminal;
when the charging end time is reached, the intelligent early warning module carries out intelligent early warning on the charging work of the lithium batteries to obtain the current time TD1 of the system and the charging end time of a plurality of lithium batteries, if TD is less than CJTu, the formula SYTu-TD 1 is used for calculating the residual charging time SYTu of the lithium batteries, the lithium batteries generate charging completion signals after the residual charging time SYTu and immediately feed back the charging completion signals to the server, if TD is more than or equal to CJTu, the charging completion signals are generated and immediately fed back to the server, the server sends the charging completion signals to the user terminal, records the sending time of the charging completion signals and records the sending time as the signal sending time, if the user terminal checks the charging completion signals, the charging stop signals are fed back, the server controls the lithium batteries to stop charging after receiving the charging stop signals, if the charging completion signals are not checked by the user terminal, short message reminding signals are generated and immediately fed back to the server after time t1, the server generates a short message after receiving the short message reminding signal and sends the short message to the user terminal, if the user terminal checks the short message reminding signal, a charging stopping signal is fed back, the server receives the charging stopping signal and controls the lithium battery to stop charging, if the user terminal does not check the short message reminding signal, a forced power-off signal is generated after time t2 and fed back to the server, the server receives the forced power-off signal and controls the lithium battery to stop charging, meanwhile, the forced power-off times QDu of the forced power-off signal generated by the lithium battery are recorded, the intelligent early warning module feeds back the forced power-off times of the lithium battery to the server, and the server stores the forced power-off times of the lithium battery;
the server also sends the charging data to the intelligent charging module, the lithium battery is intelligently reminded to be charged through the intelligent charging module, the charging times CCu of the lithium battery and each charging Cui of the lithium battery in the previous month of the system time are obtained, the charging starting time and the charging ending time of the lithium battery during each charging are obtained, the electricity utilization time YTu after each charging of the lithium battery is obtained by subtracting the charging ending time from the starting charging time of two adjacent timesi-1In combination with the formula
Calculating to obtain the electricity utilization average time length YJTu of the lithium battery after each charging, and comparing the battery capacity DRu of the lithium battery with the electricity utilization average time length YJTu to obtain the power consumption rate HDSu of the lithium battery; the method comprises the steps of obtaining real-time electric quantity SDu of a lithium battery, wherein the real-time electric quantity is divided by a power consumption rate to obtain the residual service life SSTU of the real-time electric quantity of the lithium battery, if SSTU is less than X1, generating an emergency charging signal, if X1 is less than or equal to SSTU is less than X2, generating an electric quantity depletion signal, if X2 is less than or equal to SSTU, generating a sufficient charging signal, feeding the emergency charging signal, the electric quantity depletion signal or the sufficient charging signal back to a server by an intelligent charging module, and sending the emergency charging signal, the electric quantity depletion signal or the sufficient charging signal to a corresponding user terminal by the server;
the lithium battery is also monitored in the charging process through a charging monitoring module, a plurality of charging monitoring time points To are set in the estimated charging duration of the lithium battery, the charging current DLuTo and the charging real-time temperature WDuTo of the lithium battery at the charging monitoring time points are obtained, the current fluctuation average speed JBLu and the temperature fluctuation average speed JBWu of the lithium battery in the estimated charging duration are obtained through calculation, the current fluctuation average speed JBLu and the temperature fluctuation average speed JU are respectively different from set thresholds and take absolute values, the current fluctuation speed CJBLu and the temperature fluctuation speed difference CJu are obtained, the fluctuation value BDu of the lithium battery in the estimated charging duration is obtained through calculation by using a formula BDu CJBLu × d1+ CJBWu × d2, a charging normal signal is generated if BW BDu is smaller than Y1, a charging abnormal signal is generated if Y1 is smaller than or smaller than BDu, and the charging monitoring module feeds back the charging normal signal and the charging abnormal signal To a server, the server sends the charging normal signal and the charging abnormal signal to the user terminal, and the number of times of charging abnormal is increased once according to the charging abnormal signal;
the system further comprises a supervision and division module, the supervision and division module is used for carrying out supervision and division on the lithium battery during charging, QDu times of forced outage and CYu times of charging of the lithium battery are obtained, an abnormal value YCu of the lithium battery is obtained through calculation by combining a formula YCu of QDu × a1+ CYu × a2, then a total charging time CZu and a total charging time TZu of the lithium battery are obtained, a charging value CDu of the lithium battery is obtained through calculation by using a formula CDu of CZu × b1+ TZu × b2, if the abnormal value and the charging value of the lithium battery are both larger than or equal to corresponding preset values, the supervision level of the lithium battery is a primary level, if any one of the abnormal value or the charging value of the lithium battery is smaller than the corresponding preset value, the supervision level of the lithium battery is a secondary level, if the abnormal value and the charging value of the lithium battery are both smaller than the corresponding preset values, the supervision level of the lithium battery is a tertiary level, and the supervision and division module sends the supervision and division module to the supervision and division server of the lithium battery, and the server supervises the lithium battery according to the supervision grade.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
such as the formula:
collecting multiple groups of sample data and setting a corresponding rating coefficient for each group of sample data by a person skilled in the art; substituting the set rating coefficient and the collected sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain 1.2111 and 0.14644 values of V1 and V2 respectively;
the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is facilitated, and the coefficient is determined by the number of sample data and a corresponding humidity coefficient preliminarily set by a person skilled in the art for each group of sample data; as long as the proportional relationship between the parameters and the quantized values is not affected.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. The lithium battery pack supervision and early warning system with the overcharge protection function is characterized by comprising a data acquisition module, a charge analysis module, an intelligent early warning module, a charge monitoring module, an intelligent charging lifting module, a user terminal and a server, wherein the user terminal is used for registering and logging in the system after a charger inputs personal information and sending the personal information to the user terminal; the data acquisition module is used for acquiring charging data and charging environment data of the lithium battery and sending the charging data and the charging environment data to the server, the server sends the charging data and the charging environment data to the charging analysis module, the charging analysis module is used for performing charging analysis on the lithium battery to obtain charging end time of the lithium battery, and the charging analysis module sends the charging end time of the lithium battery to a corresponding user terminal through the server;
when the charging end time is reached, the intelligent early warning module carries out intelligent early warning on the charging work of the lithium battery, generates a charging completion signal, a short message reminding signal or a forced power-off signal and feeds the charging completion signal, the short message reminding signal or the forced power-off signal back to the server, and simultaneously records the forced power-off times of the lithium battery, the intelligent early warning module feeds the forced power-off times of the lithium battery back to the server, and the server stores the forced power-off times of the lithium battery;
the server also sends the charging data to an intelligent charging module, the intelligent charging module is used for intelligently reminding charging of the lithium battery and generating an emergency charging signal, an electric quantity depletion signal or a sufficient charging signal, and the intelligent charging module sends the emergency charging signal, the electric quantity depletion signal or the sufficient charging signal to a corresponding user terminal through the server;
the lithium cell is in the charging process, the server still with charging data and charging environment data transmission to the monitoring module that charges, the monitoring module that charges is used for monitoring the charging environment of lithium cell, and the normal signal or the unusual signal of charging are generated in the monitoring, the monitoring module that charges sends the normal signal of charging and the unusual signal of charging to user terminal through the server, and according to the unusual signal of charging, the unusual number of times of charging increases once simultaneously.
2. The lithium battery pack supervision and early warning system with the overcharge protection function in claim 1 is characterized in that the personal information comprises a name and a mobile phone number authenticated by a real name;
the charging data comprises initial charging electric quantity, charging starting time, charging power, battery capacity, charging real-time electric quantity and forced disconnection times, and the charging environment data comprises initial charging temperature, charging current, charging voltage and charging real-time temperature.
3. The lithium battery pack supervision and early warning system with the overcharge protection function according to claim 1, wherein the charge analysis process of the charge analysis module is as follows:
the method comprises the following steps: marking the lithium battery as u, u is 1, 2, … …, z, and z is a positive integer; acquiring the charging start time of the lithium battery, and recording the charging start time as CKTu;
step two: acquiring the charging current of the lithium battery during charging, and marking the charging current as CDLu; acquiring the battery capacity of the lithium battery, and marking the battery capacity as DRu;
step three: calculating to obtain an estimated charging time YTu of the lithium battery by combining a charging time calculation formula YTu of DRu/CDLu multiplied by 60;
step four: and adding the estimated charging time to the charging starting time to obtain the charging ending time CJTu of the lithium battery.
4. The lithium battery pack supervision and early warning system with the overcharge protection function according to claim 1, wherein the intelligent early warning module specifically comprises the following working processes:
step S1: acquiring the current time TD1 of the system and the charging end time of a plurality of lithium batteries;
if TD is less than CJTu, calculating to obtain the residual charging time length SYTu of the lithium battery by using a formula SYTu-CJTu-TD 1, and generating a charging completion signal after the lithium battery passes through the residual charging time length SYTu and immediately feeding back the charging completion signal to the server;
if TD is larger than or equal to CJTu, generating a charging completion signal and immediately feeding back the charging completion signal to the server, and the server sends the charging completion signal to the user terminal, records the sending time of the charging completion signal and records the sending time as the signal sending time;
step S2: if the user terminal checks the charging completion signal, feeding back a charging stop signal, and after receiving the charging stop signal, the server controls the lithium battery to stop charging;
step S3: if the user terminal does not check the charging completion signal, generating a short message reminding signal after time t1 and immediately feeding back the short message reminding signal to the server, generating a short message after the short message reminding signal by the server and sending the short message to the user terminal, if the user terminal checks the short message reminding signal, feeding back a charging stop signal, and after receiving the charging stop signal, the server controls the lithium battery to stop charging;
step S4: if the user terminal does not check the short message reminding signal, a forced power-off signal is generated after time t2 and fed back to the server, the server receives the forced power-off signal and then controls the lithium battery to stop charging, and meanwhile, the times of the lithium battery generating the forced power-off signal are recorded and recorded as forced power-off times QDu; wherein t1 > t 2.
5. The lithium battery pack supervision and early warning system with the overcharge protection function according to claim 1, wherein the intelligent charging module specifically comprises the following working steps:
step SS 1: acquiring the charging times CCu of the lithium battery in one month before the system time, and recording each charging of the lithium battery as ui, wherein i is 1, 2, … …, x is a positive integer, and i represents the number of the charging times;
step SS 2: acquiring the charging start time and the charging end time of the lithium battery during each charging, and subtracting the charging end time from the charging start time of two adjacent times to obtain the electricity consumption time YTui-1 of the lithium battery after each charging;
step SS 3: combination formula
Calculating to obtain the average electricity utilization time length YJTu of the lithium battery after each charging;
step SS 4: comparing the battery capacity DRu of the lithium battery with the electricity consumption average time length YJTu to obtain the electricity consumption rate HDSu of the lithium battery; the method comprises the steps of obtaining real-time electric quantity SDu of a lithium battery, and dividing the real-time electric quantity by a power consumption rate to obtain the remaining service time SSTU of the real-time electric quantity of the lithium battery;
step SS 5: if SSTU < X1, generating an emergency charging signal;
if X1 is less than or equal to SSTU and less than X2, generating an electricity quantity depletion signal;
if X2 is less than or equal to SSTU, generating a sufficient charging signal; x1 and X2 are both time thresholds, X1 < X2.
6. The lithium battery pack supervision and early warning system with the overcharge protection function according to claim 1, wherein the monitoring process of the charge monitoring module is as follows:
step P1: setting a plurality of charging monitoring time points To within the estimated charging time length of the lithium battery, wherein o is 1, 2, … …, v and v are positive integers, and o represents the number of the charging monitoring time points;
step P2: acquiring the charging current of the lithium battery at the charging monitoring time point, and marking the charging current as DLuTo; acquiring the charging real-time temperature of the lithium battery at the charging monitoring time point, and marking the charging real-time temperature as WDuTo;
step P3: calculating to obtain the current fluctuation average rate JBLu and the temperature fluctuation average rate JBWu of the lithium battery in the estimated charging duration;
step P4: calculating difference values of the current fluctuation average speed JBLu and the temperature fluctuation average speed JBWu and a set threshold value respectively and taking absolute values to obtain a current fluctuation speed difference CJBLu and a temperature fluctuation speed difference CJBWu;
step P5: calculating to obtain a fluctuation value BDu of the lithium battery in the estimated charging duration by using a formula BDu-CJBLu × d1+ CJBWu × d 2; in the formula, d1 and d2 are weight coefficients with fixed values, and the values of a1 and a2 are both greater than zero;
step P6: if BDu is less than Y1, generating a charging normal signal;
if Y1 is less than or equal to BDu, generating a charging abnormal signal; y1 is a time threshold.
7. The lithium battery pack supervision and early warning system with the overcharge protection function of claim 6, wherein the calculation steps of the average current fluctuation rate JBLu and the average temperature fluctuation rate JBWu of the lithium battery in the estimated charging duration are as follows:
step Q1: acquiring charging currents at a charging monitoring time point T1 and a charging monitoring time point T2, which are respectively marked as DLuT1 and DLuT2, and marking a time period from the charging monitoring time point T1 to the charging monitoring time point T2 as a first time period J1;
step Q2: combination formula
Calculating to obtain a current fluctuation rate BLuJ1 of the lithium battery in the first time period:
step Q3: by analogy, current fluctuation rates BLuJ2 and BLuJo-1 of the lithium battery in the second time period, … … and the o-1 time period are obtained through calculation respectively;
step Q4: counting the number of time periods, and adding and summing the current fluctuation rates of the lithium batteries in each time period to divide the number of the time periods to obtain the current fluctuation average rate JBLu of the lithium batteries in the estimated charging time;
step Q5: meanwhile, the average rate JBWu of the temperature fluctuation of the lithium battery in the estimated charging duration is obtained through calculation according to the steps.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111471430.8A CN114188623A (en) | 2021-12-04 | 2021-12-04 | Lithium battery pack supervision and early warning system with anti-overcharging protection function |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111471430.8A CN114188623A (en) | 2021-12-04 | 2021-12-04 | Lithium battery pack supervision and early warning system with anti-overcharging protection function |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114188623A true CN114188623A (en) | 2022-03-15 |
Family
ID=80542294
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111471430.8A Pending CN114188623A (en) | 2021-12-04 | 2021-12-04 | Lithium battery pack supervision and early warning system with anti-overcharging protection function |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114188623A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115177893A (en) * | 2022-06-17 | 2022-10-14 | 国网甘肃省电力公司天水供电公司 | Main transformer oil discharging and nitrogen charging fire fighting device and control method thereof |
| CN116826920A (en) * | 2023-07-06 | 2023-09-29 | 深圳市恒能达科技有限公司 | Big data-based robot lithium battery energy storage control system |
| CN117559016A (en) * | 2023-12-28 | 2024-02-13 | 黑龙江瑞兴科技股份有限公司 | Intelligent battery management system and battery management method |
-
2021
- 2021-12-04 CN CN202111471430.8A patent/CN114188623A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115177893A (en) * | 2022-06-17 | 2022-10-14 | 国网甘肃省电力公司天水供电公司 | Main transformer oil discharging and nitrogen charging fire fighting device and control method thereof |
| CN116826920A (en) * | 2023-07-06 | 2023-09-29 | 深圳市恒能达科技有限公司 | Big data-based robot lithium battery energy storage control system |
| CN117559016A (en) * | 2023-12-28 | 2024-02-13 | 黑龙江瑞兴科技股份有限公司 | Intelligent battery management system and battery management method |
| CN117559016B (en) * | 2023-12-28 | 2024-04-05 | 黑龙江瑞兴科技股份有限公司 | Intelligent battery management system and battery management method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114188623A (en) | Lithium battery pack supervision and early warning system with anti-overcharging protection function | |
| CN105629172B (en) | A kind of method and device of mixing accumulator fault detection | |
| Mekonnen et al. | Life cycle prediction of Sealed Lead Acid batteries based on a Weibull model | |
| Baccouche et al. | $ Implementation of a Coulomb counting algorithm for SOC estimation of Li-Ion battery for multimedia applications | |
| CN116400245B (en) | Lithium battery operation health monitoring analysis system | |
| CN117078113A (en) | Outdoor battery production quality management system based on data analysis | |
| CN113359049B (en) | Method for detecting loss of solid-state lithium battery | |
| CN113419185B (en) | Method and system for detecting monomer capacity of lithium ion power storage battery | |
| Suyanto et al. | Study on Optimization of System Management Battery for Lithium Batteries and Lead Acid Batteries at the New and Renewable Energy Research Center IT PLN | |
| CN112331937B (en) | Novel lithium battery safety management system | |
| CN106655405A (en) | Charging maintenance structure and method of intelligent BMS lithium battery | |
| CN109980305A (en) | Communication power supply intelligent maintenance device | |
| Sobon et al. | Model-free non-invasive health assessment for battery energy storage assets | |
| CN106848467A (en) | Battery component and its telesecurity control system, method and safety control server | |
| CN114019385B (en) | Lithium analysis detection method based on single-frequency impedance test | |
| CN113890183B (en) | Lithium battery energy storage management system and method thereof | |
| CN111186338A (en) | Quick-response energy storage battery BMS system | |
| CN206442144U (en) | A kind of charge maintenance structure of intelligent BMS lithium batteries | |
| Hwang et al. | Measurement method for online battery early faults precaution in uninterrupted power supply system | |
| CN112540296B (en) | Performance evaluation system for power station battery system | |
| CN112485690B (en) | Energy storage battery health state identification method and system based on vibration signals | |
| CN114594380A (en) | Battery SOC prediction method based on BP neural network | |
| CN210401598U (en) | Centralized monitoring device for battery parameters in series battery pack | |
| CN116418054A (en) | Novel multichannel intelligent lithium ion battery management module | |
| CN115811139B (en) | UPS power supply on-line monitoring system based on electric power internet of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |