CN117650295B - Dynamic management and control method and system for lithium battery energy storage system - Google Patents
Dynamic management and control method and system for lithium battery energy storage system Download PDFInfo
- Publication number
- CN117650295B CN117650295B CN202410116845.0A CN202410116845A CN117650295B CN 117650295 B CN117650295 B CN 117650295B CN 202410116845 A CN202410116845 A CN 202410116845A CN 117650295 B CN117650295 B CN 117650295B
- Authority
- CN
- China
- Prior art keywords
- lithium battery
- discharge
- time
- period
- electricity
- 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.)
- Active
Links
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 240
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 240
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004146 energy storage Methods 0.000 title claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 25
- 230000003068 static effect Effects 0.000 claims abstract description 16
- 238000007599 discharging Methods 0.000 claims abstract description 6
- 230000005611 electricity Effects 0.000 claims description 88
- 238000004458 analytical method Methods 0.000 claims description 19
- 238000007726 management method Methods 0.000 claims description 19
- 238000010606 normalization Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 7
- 230000000737 periodic effect Effects 0.000 claims description 6
- 241000135164 Timea Species 0.000 abstract 1
- 238000003062 neural network model Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 239000007772 electrode material Substances 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 239000013543 active substance Substances 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000009257 reactivity Effects 0.000 description 1
- 230000002269 spontaneous effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- 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
- H01M10/4285—Testing apparatus
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- General Chemical & Material Sciences (AREA)
- Electrochemistry (AREA)
- Mathematical Physics (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Manufacturing & Machinery (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Mathematics (AREA)
- Databases & Information Systems (AREA)
- Algebra (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a dynamic control method and a dynamic control system of a lithium battery energy storage system, which relate to the technical field of lithium battery control and comprise the steps of calculating a discharge quantity average value in a period when a lithium battery discharge state is obtainedAnd a discharge amount fluctuation valueThe method comprises the steps of carrying out a first treatment on the surface of the Calculating to obtain the average value of discharge quantity in one period when the lithium battery is in a static storage stateAnd a discharge amount fluctuation valueAnd calculating to obtain the longest service time of the current lithium batteryThe method comprises the steps of carrying out a first treatment on the surface of the Comparing the preset use time lengthAnd the current lithium battery longest service timeA corresponding processing strategy is made according to the magnitude relation of the number of the pieces of the data; comparing the preset use time lengthAnd the current lithium battery shortest service timeAnd (3) making a corresponding processing strategy. And by giving a power consumption scheme within a preset time, the discharging time of the lithium battery is reasonably planned.
Description
Technical Field
The invention relates to the technical field of lithium battery management and control, in particular to a dynamic management and control method and system of a lithium battery energy storage system.
Background
Along with the transformation of energy structures and the wide application of renewable energy sources, the lithium battery energy storage system is widely applied to the fields of smart grids, distributed energy sources, electric automobiles and the like. However, the lithium battery energy storage system has the problems of low charge and discharge efficiency, inaccurate energy management, potential safety hazard and the like in practical application. These problems not only affect the performance and life of lithium battery energy storage systems, but also limit their application and development in the renewable energy field. In particular, over-discharge of a lithium battery affects the concentration of electrolyte and the chemical activity of electrode materials of the battery, so that a large amount of gas is generated in the battery, the internal pressure of the battery is increased, and the risks of explosion and spontaneous combustion exist.
In the chinese application of the application publication No. CN109856544a, a method for analyzing the usage time of the power of a terminal, a terminal and a computer-readable storage medium are disclosed, including establishing a neural network model for analyzing the usage time of the remaining power of the terminal; generating a value of a node in the neural network model according to a preset initial slope; modifying the value of the node according to the history of the user using the terminal; and after modification, analyzing the use time of the residual electric quantity of the terminal by using the neural network model.
In the application of the invention, the use time of the residual electric quantity of the terminal is analyzed by constructing the neural network model, so that the situation that the battery is over-discharged still cannot be avoided due to low prediction precision of the battery which needs to be used for a long time because the battery has a self-discharge rate is avoided, and the use time of the residual electric quantity of the real-time terminal is analyzed, so that the method has no integral planning, has great limitation in practical application and cannot meet the practical use requirement of the lithium battery energy storage system.
Therefore, the invention provides a dynamic management and control method and a system for a lithium battery energy storage system.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a dynamic management and control method and a system of a lithium battery energy storage system, and the invention builds a lithium battery electricity analysis scheme model by analyzing the discharge quantity of the lithium battery in a discharge state and a static state, gives out an electricity consumption scheme within preset time, reasonably plans the discharge time of the lithium battery, avoids the situation that sudden power failure or the expected task cannot be completed, and maximally utilizes the electric quantity of the lithium battery while avoiding the over-discharge of the battery, thereby solving the technical problems recorded in the background art.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: a dynamic control method and system for a lithium battery energy storage system comprises the following steps:
when the lithium battery is discharged, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryCalculating the average value of discharge quantity in one period when the discharge state of the lithium battery is obtained>And discharge fluctuation value->；
When the lithium battery is stored in a standing mode, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryCalculating and obtaining the average value of discharge quantity in one period when the lithium battery is in a static storage state +.>And discharge fluctuation value->And detecting and obtaining the real-time electricity storage capacity of the lithium battery by using an electricity meter>Calculating to obtain the most current lithium batteryLong use time +.>；
Acquiring a preset use time lengthAnd the current longest use time of lithium battery +.>Contrast with preset use duration +.>And the current longest use time of lithium battery +.>A corresponding processing strategy is made according to the magnitude relation of the number of the pieces of the data;
acquiring a preset use time lengthAnd the current shortest use time of lithium battery +.>Contrast with preset use duration +.>And the current shortest use time of lithium battery +.>And (3) making a corresponding processing strategy.
Further, the actual electricity storage capacity of the lithium battery is obtainedAfter linear normalization treatment, calculating the average value of discharge amount in one period when the discharge state of the lithium battery is obtained>And discharge fluctuation value->Corresponding mean value of discharge amount in one period in discharge state of lithium battery +.>And discharge fluctuation value->The calculation formula of (2) is as follows:
，
where i represents the cycle time series number of each stored electricity amount,and f represents a discharge state.
Further, when the lithium battery is stored in a standing state, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryAfter linear normalization treatment, calculating and obtaining the average value of discharge amount in one period when the lithium battery is in a static storage state +.>And discharge fluctuation value->：
，
Average value of discharge amount in one period when corresponding lithium battery is in static storage stateAnd discharge fluctuation value->Wherein c represents a stationary storage state.
Further, the method comprises the steps of,real-time electricity storage capacity of lithium battery obtained by using electricity meter detectionIn combination with the mean value of the discharge in one cycle in the rest storage state +.>Discharge fluctuation value->And periodically detecting time T, performing linear normalization processing, and calculating to obtain the longest service time +.>：
，
Corresponding longest service time of current lithium batteryThe calculation formula of (2) is as above.
Further, a preset use time length is obtainedAnd the current longest use time of lithium battery +.>Contrast with preset use duration +.>And the current longest use time of lithium battery +.>The magnitude relation of (1) when->And when the discharge warning device is used, an overdischarge warning is sent outwards.
The preset use duration Ys is input according to actual conditions and is not a fixed value.
Further, whenWhen the lithium battery is used, the real-time electricity storage capacity of the lithium battery is obtained>Periodic detection time T, mean value of discharge amount in one period in discharge state ∈>And discharge fluctuation value->After linear normalization treatment, calculating to obtain the shortest service time of the current lithium battery +.>：
，
Corresponding shortest service time of current lithium batteryThe calculation formula of (2) is as above.
Further, a preset use time length is obtainedAnd the current shortest use time of lithium battery +.>Contrast with preset use duration +.>And the current shortest use time of lithium battery +.>The magnitude relation of (1) when->When it is outA sufficient amount of power is generated.
Further, whenWhen the lithium battery is used, the real-time electricity storage capacity of the lithium battery is obtained>Mean value of discharge amount in one period in stationary storage state +.>Discharge fluctuation value->Mean value of discharge in one period in discharge state of lithium battery>And discharge fluctuation value->After the processing, a model input initial value A, F, C and D are obtained:
，
inputting the initial value A, F, C and D into a lithium battery electricity analysis scheme model to obtain the maximum discharge period number meeting the preset use duration；
Wherein A represents initial discharge time, F represents discharge amount in a period, C represents periodic storage self-discharge amount, D represents lithium battery storage amount,indicating the maximum number of discharge cycles that the lithium battery can satisfy a preset use period,indicating discharge of lithium batteryThe number of storage cycles that can be stored still after a cycle.
Further, a C language is used for constructing a lithium battery electricity analysis scheme model, and model example codes are as follows:
#include <stdio.h>
int main() {
double A, F, C, D, , ;
printf ("please input constants A, F, C and D: \n");
scanf("%lf %lf %lf %lf", &A, &F, &C, &D);
= A;
while (1) {
= (D - x1 * F) / C;
if > 0) {
printf (' conditional)The value is%lf\n ",);
break;
} else {
++;
}
}
return 0;
}
the values of the constants A, F, C and D are first read from the standard input using the scanf function, and then continuously tried different values using an infinite loopValue until a condition is foundValue (greater than 0). Calculation per cycleJudging whether the requirement is met according to the condition, if so, outputting the current valueValue and end the loop, otherwise, willAfter the value of (2) is added to 1, the cycle is continued.
Further, the maximum discharge period number meeting the preset use duration is obtainedThe maximum discharge time Fsj of the lithium battery is calculated and obtained:
，
and controlling the discharge time of the lithium battery according to the maximum discharge time Fsj of the lithium battery, sending out electricity utilization time ending early warning when the discharge time of the lithium battery reaches the preset early warning time, and stopping discharging when the discharge time of the lithium battery reaches the maximum discharge time Fsj. Wherein, the preset early warning time can be 99% of the maximum discharge time Fsj.
A dynamic management and control system for a lithium battery energy storage system, comprising:
lithium battery discharge analysis module, and electricity consumption meter period when lithium battery is dischargedSex detection of actual power storage of lithium batteryCalculating the average value of discharge quantity in one period when the discharge state of the lithium battery is obtained>And discharge fluctuation value->；
Lithium battery standing analysis module, when the lithium battery is stored in a standing mode, the actual electricity storage quantity of the lithium battery is periodically detected by using an electricity meterCalculating and obtaining the average value of discharge quantity in one period when the lithium battery is in a static storage state +.>And discharge fluctuation value->And detecting and obtaining the real-time electricity storage capacity of the lithium battery by using an electricity meter>Calculating to obtain the longest service time of the current lithium battery +.>；
The first electrical analysis module is used for obtaining a preset use durationAnd the current longest use time of lithium battery +.>Contrast with preset use duration +.>And the current longest use time of lithium battery +.>A corresponding processing strategy is made according to the magnitude relation of the number of the pieces of the data;
the second electricity analysis module is used for obtaining preset using time lengthAnd the current shortest use time of lithium battery +.>Contrast with preset use duration +.>And the current shortest use time of lithium battery +.>And (3) making a corresponding processing strategy.
(III) beneficial effects
The invention provides a dynamic management and control method and a system of a lithium battery energy storage system, which have the following beneficial effects:
1. when the lithium battery is discharged, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryCalculating the average value of discharge quantity in one period when the discharge state of the lithium battery is obtained>And discharge fluctuation value->By analyzing the discharge quantity fluctuation in the discharge process of the lithium battery, the discharge time of the lithium battery can be more accurately estimated and analyzed, so that a more reasonable lithium battery management strategy is designed, and the battery utilization rate is improved.
2. When the lithium battery is stored in a standing mode, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryCalculating to obtain the static storage of the lithium batteryMean value of discharge amount in one period in storage state +.>And discharge fluctuation value->And detecting and obtaining the real-time electricity storage capacity of the lithium battery by using an electricity meter>Calculating to obtain the longest service time of the current lithium battery +.>By analyzing the self-discharge fluctuation in the standing process of the lithium battery, the storage time of the lithium battery can be evaluated and analyzed more accurately, so that a more reasonable lithium battery management strategy is designed, the damage of electrode active substances caused by overdischarge of the battery is avoided, the reaction capacity is lost, and the performance and the service life of the battery are influenced.
3. By obtaining preset use time lengthAnd the current longest use time of lithium battery +.>Comparing the preset use time lengthAnd the current longest use time of lithium battery +.>The corresponding processing strategy is provided, so that the lithium battery which cannot meet the use duration can be charged or replaced in time, and inconvenience and even accidents caused by insufficient battery electric quantity are avoided.
4. By obtaining preset use time lengthAnd the current shortest use time of lithium battery +.>Comparing the preset use time lengthAnd the current shortest use time of lithium battery +.>And (3) making a corresponding processing strategy, reasonably planning the discharge time of the lithium battery, avoiding the situation that sudden power failure occurs or the expected task cannot be completed, and maximizing the utilization of the electric quantity of the lithium battery while avoiding overdischarge of the battery.
Drawings
FIG. 1 is a schematic flow chart of a method for dynamic management and control of a lithium battery energy storage system according to the present invention;
fig. 2 is a schematic structural diagram of a dynamic management and control system of a lithium battery energy storage system according to 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.
Referring to fig. 1, the present invention provides a dynamic management and control method of a lithium battery energy storage system, which includes the following steps:
problems to be solved: overdischarge may cause damage to the electrode active material, losing reactivity, and thus affecting the performance and life of the battery.
Step one, periodically detecting the actual electricity storage capacity of the lithium battery by using an electricity meter when the lithium battery is dischargedCalculating the average value of discharge quantity in one period when the discharge state of the lithium battery is obtained>And discharge fluctuation value->。
The first step comprises the following steps:
step 101, periodically detecting the actual electricity storage capacity of the lithium battery by using an electricity meter when the lithium battery dischargesThe periodic test time T can be +.>Any one of seconds.
The fuel gauge comprises a cell, a fuel gauge IC, a protection IC, a charge-discharge MOSFET, a FUSE, an NTC and other elements. The primary protection IC controls the charge and discharge MOSFET, the protection action is recoverable, namely, when safety events such as overcharge, overdischarge, overcurrent, short circuit and the like occur, the corresponding charge and discharge switch is opened, the switch is recovered after the safety events are released, and the battery can be used continuously. The primary protection may be on the high side or the low side. The secondary protection controls the three-terminal fuse, and the protection action is not recoverable, i.e. the battery cannot be used continuously once the fuse is blown, also called permanent failure (Permanent Failure, PF). The electricity meter IC collects information such as cell voltage, cell temperature and cell current, calculates information such as battery electric quantity and health degree through coulomb integration, battery modeling and the like, and communicates with an external host through communication ports such as I2C/SMBUS/HDQ and the like.
Step 102, obtaining the actual electricity storage capacity of the lithium batteryAfter linear normalization treatment, calculating the average value of discharge amount in one period when the discharge state of the lithium battery is obtained>And discharge fluctuation value->Corresponding mean value of discharge amount in one period in discharge state of lithium battery +.>And discharge fluctuation value->The calculation formula of (2) is as follows:
，
where i represents the cycle time series number of each stored electricity amount,and f represents a discharge state.
In use, the contents of steps 101 and 102 are combined:
when the lithium battery is discharged, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryCalculating the average value of discharge quantity in one period when the discharge state of the lithium battery is obtained>And discharge fluctuation value->By analyzing the discharge quantity fluctuation in the discharge process of the lithium battery, the discharge time of the lithium battery can be more accurately estimated and analyzed, so that a more reasonable lithium battery management strategy is designed, and the battery utilization rate is improved.
Step two, periodically detecting the actual electricity storage quantity of the lithium battery by using an electricity meter when the lithium battery is stored in a standing modeCalculating and obtaining the average value of discharge quantity in one period when the lithium battery is in a static storage state +.>And discharge fluctuation value->And detecting and obtaining the real-time electricity storage capacity of the lithium battery by using an electricity meter>Calculating to obtain the longest service time of the current lithium battery +.>。
The second step comprises the following steps:
step 201, periodically detecting the actual electricity storage amount of the lithium battery by using an electricity meter when the lithium battery is stored in a standing mannerAfter linear normalization treatment, calculating and obtaining the average value of discharge amount in one period when the lithium battery is in a static storage state +.>And discharge fluctuation value->：
，
Average value of discharge amount in one period when corresponding lithium battery is in static storage stateAnd discharge fluctuation value->Wherein c represents a stationary storage state.
Step 202, obtaining real-time electricity storage capacity of lithium battery by using electricity meter detectionCombined with standingMean value of discharge amount in one period in memory state +.>Discharge fluctuation value->And periodically detecting time T, performing linear normalization processing, and calculating to obtain the longest service time +.>：
，
Corresponding longest service time of current lithium batteryThe calculation formula of (2) is as above.
In use, the contents of steps 201 and 202 are combined:
when the lithium battery is stored in a standing mode, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryCalculating and obtaining the average value of discharge quantity in one period when the lithium battery is in a static storage state +.>And discharge fluctuation value->And detecting and obtaining the real-time electricity storage capacity of the lithium battery by using an electricity meter>Calculating to obtain the longest service time of the current lithium battery +.>By analyzing the fluctuation of the self-discharge amount in the standing process of the lithium battery, the storage time of the lithium battery can be more accurately estimated and analyzedThereby designing a more reasonable lithium battery management strategy, avoiding the damage of electrode active materials caused by over-discharge of the battery and losing the reaction capacity, and further influencing the performance and the service life of the battery.
Step three, obtaining a preset use durationAnd the current longest use time of lithium battery +.>Contrast with preset use duration +.>And the current longest use time of lithium battery +.>And (3) making a corresponding processing strategy.
The third step comprises the following steps:
step 301, obtaining a preset use durationAnd the current longest use time of lithium battery +.>Contrast with preset use duration +.>And the current longest use time of lithium battery +.>The magnitude relation of (1) when->And when the discharge warning device is used, an overdischarge warning is sent outwards.
The preset use duration Ys is input according to actual conditions and is not a fixed value.
Step 302, whenWhen the lithium battery is used, the real-time electricity storage capacity of the lithium battery is obtained>Periodic detection time T, mean value of discharge amount in one period in discharge state ∈>And discharge fluctuation value->After linear normalization treatment, calculating to obtain the shortest service time of the current lithium battery +.>：
，
Corresponding shortest service time of current lithium batteryThe calculation formula of (2) is as above.
In use, the contents of steps 301 and 302 are combined:
acquiring a preset use time lengthAnd the current longest use time of lithium battery +.>Contrast with preset use duration +.>And the current longest use time of lithium battery +.>The corresponding processing strategy is provided, so that the lithium battery which cannot meet the use duration can be charged or replaced in time, and inconvenience and even accidents caused by insufficient battery electric quantity are avoided.
Step four,Acquiring a preset use time lengthAnd the current shortest use time of lithium battery +.>Contrast with preset use duration +.>And the current shortest use time of lithium battery +.>And (3) making a corresponding processing strategy.
The fourth step comprises the following steps:
step 401, obtaining a preset use durationAnd the current shortest use time of lithium battery +.>Contrast with preset use duration +.>And the current shortest use time of lithium battery +.>The magnitude relation of (1) when->And when the power supply is in the power supply state, a sufficient signal is sent outwards.
Step 402, building a lithium battery electricity analysis scheme model by using a C language, wherein the model example codes are as follows:
#include <stdio.h>
int main() {
double A, F, C, D, , ;
printf ("please input constants A, F, C and D: \n");
scanf("%lf %lf %lf %lf", &A, &F, &C, &D);
= A;
while (1) {
= (D - x1 * F) / C;
if ( > 0) {
printf (' conditional)The value is%lf\n ",);
break;
} else {
++;
}
}
return 0;
}
the values of the constants A, F, C and D are first read from the standard input using the scanf function, and then continuously tried different values using an infinite loopValue until a condition is foundValue (greater than 0). Calculation per cycleJudging whether the requirement is met according to the condition, if so, outputting the current valueValue and end the loop, otherwise, willAfter the value of (2) is added to 1, the cycle is continued.
Wherein A represents initial discharge time, F represents discharge amount in a period, C represents periodic storage self-discharge amount, D represents lithium battery storage amount,indicating the maximum number of discharge cycles that the lithium battery can satisfy a preset use period,indicating discharge of lithium batteryThe number of storage cycles that can be stored still after a cycle.
Step 403, whenWhen the lithium battery is used, the real-time electricity storage capacity of the lithium battery is obtained>Mean value of discharge amount in one period in stationary storage state +.>Discharge fluctuation value->Mean value of discharge in one period in discharge state of lithium battery>And discharge fluctuation value->After the processing, a model input initial value A, F, C and D are obtained:
，
inputting the initial value A, F, C and D into a lithium battery electricity analysis scheme model to obtain the maximum discharge period number meeting the preset use duration。
Step 404, obtaining the maximum discharge period number meeting the preset use durationThe maximum discharge time Fsj of the lithium battery is calculated and obtained:
，
and controlling the discharge time of the lithium battery according to the maximum discharge time Fsj of the lithium battery, sending out electricity utilization time ending early warning when the discharge time of the lithium battery reaches the preset early warning time, and stopping discharging when the discharge time of the lithium battery reaches the maximum discharge time Fsj. Wherein, the preset early warning time can be 99% of the maximum discharge time Fsj.
In use, the contents of steps 401 to 404 are combined:
acquiring a preset use time lengthAnd the current shortest use time of lithium battery +.>Contrast with preset use duration +.>And the current shortest use time of lithium battery +.>And (3) making a corresponding processing strategy, reasonably planning the discharge time of the lithium battery, avoiding the situation that sudden power failure occurs or the expected task cannot be completed, and maximizing the utilization of the electric quantity of the lithium battery while avoiding overdischarge of the battery.
Referring to fig. 2, the present invention provides a dynamic management and control system of a lithium battery energy storage system, comprising:
lithium battery discharge analysis module, periodically detecting actual electricity storage quantity of lithium battery by using electricity meter when discharging lithium batteryCalculating the average value of discharge quantity in one period when the discharge state of the lithium battery is obtained>And discharge fluctuation value->。
Lithium battery standing analysis module, when the lithium battery is stored in a standing mode, the actual electricity storage quantity of the lithium battery is periodically detected by using an electricity meterCalculating and obtaining the average value of discharge quantity in one period when the lithium battery is in a static storage state +.>And discharge fluctuation value->And detecting and obtaining the real-time electricity storage capacity of the lithium battery by using an electricity meter>Calculating to obtain the longest service time of the current lithium battery +.>。
The first electrical analysis module is used for obtaining a preset use durationAnd the current longest use time of lithium battery +.>Contrast with preset use duration +.>And the current longest use time of lithium battery +.>And (3) making a corresponding processing strategy.
The second electricity analysis module is used for obtaining preset using time lengthAnd the current shortest use time of lithium battery +.>Contrast with preset use duration +.>And the current shortest use time of lithium battery +.>And (3) making a corresponding processing strategy.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application.
Claims (6)
1. A dynamic management and control method of a lithium battery energy storage system is characterized in that: the method comprises the following steps:
when the lithium battery is discharged, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryCalculating and obtaining a discharge quantity mean Fj in one period when the lithium battery is in a discharge state f And a discharge amount fluctuation value Bd f ；
When the lithium battery is stored in a standing mode, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryCalculating to obtain the average Fj of discharge quantity in one period when the lithium battery is in a static storage state c And a discharge amount fluctuation value Bd c And detecting by using an electricity meter to obtain the real-time electricity storage capacity Cd of the lithium battery m Calculating to obtain the longest service time Sy of the current lithium battery 1 ；
Detection of using electricity meter to obtain real-time electricity storage Cd of lithium battery m In combination with the mean value Fj of discharge in one period in the stationary storage state c Discharge amount fluctuation value Bd c And periodically detecting the time T, performing linear normalization processing, and calculating to obtain the longest service time Sy of the current lithium battery 1 ：
Obtaining preset service duration Ys and longest service time Sy of current lithium battery 1 Comparing the preset using time Ys with the longest using time Sy of the current lithium battery 1 Judging whether to send out over-discharge early warning or not;
when Ys < Sy 1 When the method is used, the real-time electricity storage capacity Cd of the lithium battery is obtained m Periodic detection time T, mean value Fj of discharge quantity in one period in discharge state f And a discharge amount fluctuation value Bd f After linear normalization processing, calculating to obtain the shortest service time Sy of the current lithium battery 2 ：
Obtaining preset using time Ys and current lithium battery shortest using time Sy 2 Comparing the preset using time Ys with the shortest using time Sy of the current lithium battery 2 And judging whether to send out sufficient electric quantity signals.
2. The method for dynamically controlling an energy storage system of a lithium battery according to claim 1, wherein:
obtaining actual electricity storage capacity of lithium batteryAfter linear normalization processing, calculating and obtaining a discharge quantity mean value Fj in one period when the lithium battery is in a discharge state f And a discharge amount fluctuation value Bd f Corresponding discharge quantity mean Fj in one period in lithium battery discharge state f And a discharge amount fluctuation value Bd f The calculation formula of (2) is as follows:
wherein i represents a cycle time sequence number of each electric storage amount, i=1, 2,..m, m is a positive integer, and f represents a discharge state.
3. The method for dynamically controlling an energy storage system of a lithium battery according to claim 1, wherein:
when the lithium battery is stored in a standing mode, the electricity meter is used for periodically detecting the actual electricity storage quantity of the lithium batteryAfter linear normalization processing, calculating to obtain a discharge quantity mean Fj in one period when the lithium battery is in a static storage state c And a discharge amount fluctuation value Bd c ：
Corresponding discharge quantity mean Fj in one period of lithium battery in static storage state c And a discharge amount fluctuation value Bd c Wherein c represents a stationary storage state.
4. A method for dynamic management and control of a lithium battery energy storage system according to claim 3, wherein:
when Ys is greater than or equal to Sy 2 When the method is used, the real-time electricity storage capacity Cd of the lithium battery is obtained m Mean value Fj of discharge amount in one period in stationary storage state c Discharge amount fluctuation value Bd c Mean value Fj of discharge quantity in one period in discharge state of lithium battery f And a discharge amount fluctuation value Bd f After the processing, a model input initial value A, F, C and D are obtained:
inputting the initial value A, F, C and D into a lithium battery electricity analysis scheme model to obtain a battery electricity analysis scheme meeting the preset requirementMaximum number of discharge cycles x of duration of use 1 ；
Wherein A represents initial discharge time, F represents discharge amount in period, C represents self-discharge amount stored in period, D represents lithium battery charge amount, x 1 Indicating the maximum discharge period number, x, of the lithium battery capable of meeting a preset use duration 2 Indicating discharge x of lithium battery 1 The number of storage cycles that can be stored still after a cycle.
5. The method for dynamically controlling an energy storage system of a lithium battery according to claim 4, wherein:
obtaining the maximum discharge period number x meeting the preset use duration 1 The maximum discharge time Fsj of the lithium battery is calculated and obtained:
Fsj＝x 1 *T
and controlling the discharge time of the lithium battery according to the maximum discharge time Fsj of the lithium battery, sending out electricity utilization time ending early warning when the discharge time of the lithium battery reaches the preset early warning time, and stopping discharging when the discharge time of the lithium battery reaches the maximum discharge time Fsj.
6. A dynamic management and control system for a lithium battery energy storage system for implementing the method of claim 1, wherein: comprising the following steps:
lithium battery discharge analysis module, periodically detecting actual electricity storage quantity of lithium battery by using electricity meter when discharging lithium batteryCalculating and obtaining a discharge quantity mean Fj in one period when the lithium battery is in a discharge state f And a discharge amount fluctuation value Bd f ；
Lithium battery standing analysis module, when the lithium battery is stored in a standing mode, the actual electricity storage quantity of the lithium battery is periodically detected by using an electricity meterCalculating to obtain the average value of discharge quantity in one period when the lithium battery is in a static storage stateFj c And a discharge amount fluctuation value Bd c And detecting by using an electricity meter to obtain the real-time electricity storage capacity Cd of the lithium battery m Calculating to obtain the longest service time Sy of the current lithium battery 1 ；
The first electricity analysis module is used for obtaining a preset using time Ys and the longest using time Sy of the current lithium battery 1 Comparing the preset using time Ys with the longest using time Sy of the current lithium battery 1 A corresponding processing strategy is made according to the magnitude relation of the number of the pieces of the data;
the second electricity analysis module is used for obtaining a preset using time Ys and the shortest using time Sy of the current lithium battery 2 Compare preset use
Duration Ys and current lithium battery shortest use time Sy 2 And (3) making a corresponding processing strategy.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410116845.0A CN117650295B (en) | 2024-01-29 | 2024-01-29 | Dynamic management and control method and system for lithium battery energy storage system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410116845.0A CN117650295B (en) | 2024-01-29 | 2024-01-29 | Dynamic management and control method and system for lithium battery energy storage system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117650295A CN117650295A (en) | 2024-03-05 |
| CN117650295B true CN117650295B (en) | 2024-04-05 |
Family
ID=90049932
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410116845.0A Active CN117650295B (en) | 2024-01-29 | 2024-01-29 | Dynamic management and control method and system for lithium battery energy storage system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117650295B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002300733A (en) * | 2001-03-30 | 2002-10-11 | Hitachi Koki Co Ltd | Full charge detecting method for battery |
| CN109856544A (en) * | 2019-01-24 | 2019-06-07 | 努比亚技术有限公司 | Terminal power uses time analysis method, terminal and computer readable storage medium |
| CN112563592A (en) * | 2020-12-21 | 2021-03-26 | 中国联合网络通信集团有限公司 | Storage battery management method, device, equipment and storage medium |
| CN116707082A (en) * | 2023-06-17 | 2023-09-05 | 深圳市亿宾微电子有限公司 | Lithium battery discharge control method, system, terminal and storage medium |
| CN116736153A (en) * | 2023-08-15 | 2023-09-12 | 宁德时代新能源科技股份有限公司 | Overdischarge early warning method, overdischarge early warning device, electronic device, storage medium, and program product |
-
2024
- 2024-01-29 CN CN202410116845.0A patent/CN117650295B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002300733A (en) * | 2001-03-30 | 2002-10-11 | Hitachi Koki Co Ltd | Full charge detecting method for battery |
| CN109856544A (en) * | 2019-01-24 | 2019-06-07 | 努比亚技术有限公司 | Terminal power uses time analysis method, terminal and computer readable storage medium |
| CN112563592A (en) * | 2020-12-21 | 2021-03-26 | 中国联合网络通信集团有限公司 | Storage battery management method, device, equipment and storage medium |
| CN116707082A (en) * | 2023-06-17 | 2023-09-05 | 深圳市亿宾微电子有限公司 | Lithium battery discharge control method, system, terminal and storage medium |
| CN116736153A (en) * | 2023-08-15 | 2023-09-12 | 宁德时代新能源科技股份有限公司 | Overdischarge early warning method, overdischarge early warning device, electronic device, storage medium, and program product |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117650295A (en) | 2024-03-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10916812B2 (en) | Electronic device and charging method | |
| CN100498366C (en) | Apparatus and method for monitoring battery pack | |
| US9653759B2 (en) | Method and apparatus for optimized battery life cycle management | |
| CN103545564B (en) | Rechargeable battery cell and defect inspection method thereof | |
| CN110018422B (en) | Battery management method and device | |
| CN111257770B (en) | Battery pack power estimation method | |
| CN111426960A (en) | Energy storage lithium battery charge state monitoring method and device | |
| CN115951253A (en) | Battery health state detection method, system, equipment and medium | |
| JP6954448B2 (en) | Anomaly detection device, anomaly detection method and program | |
| CN115389958B (en) | Lithium ion battery operation safety evaluation method and system | |
| CN117650611B (en) | Protection method for backup power supply of electricity consumption information acquisition terminal | |
| CN112272908A (en) | Charging method, electronic device, and storage medium | |
| CN112014751B (en) | SOC estimation method based on estimation of actual dischargeable capacity of lithium ion battery | |
| CN117650295B (en) | Dynamic management and control method and system for lithium battery energy storage system | |
| CN115037007B (en) | Discharge balancing method for battery device | |
| CN116068402A (en) | New energy automobile lithium battery state prediction method, device, equipment and storage medium | |
| CN108232342B (en) | Storage battery management method and system and storage battery management equipment | |
| CN107356880B (en) | Battery electric quantity detection method | |
| CN115480167A (en) | Short circuit detection method and energy storage device | |
| JP2018129896A (en) | Battery Management Unit | |
| KR20220159818A (en) | Apparatus and method for monitoring battery | |
| CN218415860U (en) | Lithium battery charging management system | |
| CN111542451B (en) | Method and management system for controlling and monitoring a plurality of battery cells of a battery pack, and battery pack | |
| CN211086535U (en) | Lithium ion power battery charge state prediction circuit | |
| CN117074968A (en) | Battery expansion detection method and device and battery management system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |