CN111446760B - Battery equalization management method, circuit, device and storage medium - Google Patents
Battery equalization management method, circuit, device and storage medium Download PDFInfo
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- 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
- H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
- H02J7/0014—Circuits for equalisation of charge between batteries
- H02J7/0016—Circuits for equalisation of charge between batteries using shunting, discharge or bypass circuits
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Abstract
The invention provides a battery equalization management method, a circuit, a device and a storage medium, wherein the method comprises the following steps: collecting the residual electricity quantity in each cell in the battery pack; calculating first variance values of residual electric quantity in all the electric cores; judging whether the first variance value is larger than a preset variance value or not; if the power consumption is larger than the preset power consumption, modeling a model for establishing the set voltages respectively output/input by each battery cell in the set time according to the residual power consumption in each battery cell, wherein the model comprises the set time and the set voltages respectively output/input by each battery cell; and controlling the output/input of set voltage set time in the data of the set voltage corresponding to the set voltage in the model according to each cell of the modeling, wherein the data of the modeling comprises the set voltage and the set time. The invention has the beneficial effects that: the method controls the designated voltage setting time of the output/input of each cell so as to balance the battery pack.
Description
Technical Field
The present invention relates to the field of new energy batteries, and in particular, to a battery balancing management method, circuit, device, and storage medium.
Background
Along with the development of society, lithium batteries are widely used, in the practical application process, the voltage and current are generally increased by means of series-parallel connection of single batteries to meet the practical application requirements, but even if the single batteries in a battery pack formed by the same batch of batteries are not completely identical, SOC (remaining power) among the single batteries is different to some extent, and the battery pack is unbalanced, so that the total capacity of the battery pack is reduced, and the battery pack may be damaged, and therefore, a management method for realizing battery equalization is needed.
Disclosure of Invention
The invention mainly aims to provide a battery equalization management method, a circuit, a device and a storage medium, which aim to solve the technical problem that the residual electric quantity of each single battery is different.
The invention provides a battery equalization management method, which comprises the following steps:
collecting the residual electricity quantity in each cell in the battery pack;
calculating first variance values of residual electric quantity in all the electric cores;
judging whether the first variance value is larger than a preset variance value or not;
if the power consumption is larger than the preset voltage, a model for respectively outputting/inputting the preset voltage of each battery cell in a set time is built according to the residual power consumption in each battery cell, wherein the model comprises the set time and the preset voltage respectively output/input by each battery cell;
and controlling each cell to output/input the corresponding set voltage in the model within the set time.
Further, the step of collecting the remaining electric quantity of each cell in the battery pack includes:
acquiring voltage values and current values of two ends of each battery cell in the current battery pack;
estimating the SOC of each battery cell according to the voltage value and the current value at two ends of each battery cell;
and recording the estimated battery cell SOC as the residual electric quantity in the battery cell.
Further, the step of establishing a model of respectively outputting/inputting the set voltage by each cell within the set time according to the remaining electric quantity in each cell includes:
carrying out regression analysis on the residual electric quantity in all the electric cores;
screening out abnormal cells with residual electric quantity larger than the residual electric quantity corresponding to the regression line equation obtained by regression analysis and with discreteness larger than a set value;
and establishing an abnormal model for the abnormal battery cells, and establishing a normal model for the rest battery cells.
Further, the step of establishing an abnormal model for the abnormal battery cell includes:
acquiring a voltage range output by the battery pack;
calculating according to the voltage range to obtain a range of set voltage corresponding to the abnormal battery cell;
setting the output set voltage of the abnormal battery cell;
calculating a difference value between the voltage corresponding to the regression line equation and the abnormal cell output set voltage;
and setting the setting time according to the difference value.
Further, after the step of controlling each cell to output/input the corresponding set voltage in the model within the set time, the method includes:
calculating second variance values of the residual electric quantity in all the electric cores after the set time;
judging whether the second variance value is smaller than the preset variance value or not;
and if the voltage is smaller than the preset voltage, modifying the current set voltage of the abnormal battery cell into the voltage corresponding to the regression line equation.
The invention also provides a battery equalization management circuit, which comprises a switch module, a sampling module, a processing module, a transformation module and a battery pack;
the sampling module is used for collecting residual electricity quantity in each cell in the battery pack and sending collected information to the processing module;
the processing module is used for calculating first variance values of the residual electric quantity in all the electric cores, judging whether the first variance values are larger than preset variance values, if so, establishing voltage models which are respectively output/input by all the electric cores in set time according to the residual electric quantity in all the electric cores, wherein the models comprise the set time and the voltages which are respectively output/input by all the electric cores;
the processing module controls each cell to output/input corresponding voltage in the model within the set time through the transformation module.
Further, the sampling module comprises a sampling resistor and a comparator, the sampling resistor is connected in series in a loop comprising the switch, one end of the sampling resistor, which is connected with the negative electrode of the battery cell, is connected with the reverse input end of the comparator, one end of the sampling resistor, which is connected with the positive electrode of the battery cell, is connected with the positive input end of the comparator, and the output end of the comparator is connected with the processing module and is used for collecting the current at two ends of the battery cell;
one end of the positive electrode of the battery cell is also connected with the processing module and is used for collecting voltages at two ends of the battery cell;
and the processing module calculates the residual electricity quantity in the battery cell according to the current at the two ends of the battery cell and the voltage at the two ends of the battery cell.
The invention also provides a management device for battery equalization, which comprises:
the sampling module is used for collecting the residual electricity quantity in each cell in the battery pack;
the first variance value calculation module is used for calculating the first variance values of the residual electric quantity in all the electric cores;
the first variance value judging module is used for judging whether the first variance value is larger than a preset variance value or not;
the modeling module is used for establishing a model for respectively outputting/inputting set voltages of each battery cell in set time according to the residual electric quantity in each battery cell, wherein the model comprises the set time and the set voltages respectively output/input by each battery cell;
and the control module is used for controlling each cell to output/input the corresponding set voltage in the model within the set time.
The present invention also provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described battery equalization management method.
The invention also provides a computer device which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein the steps of the battery balancing management method are realized when the processor executes the computer program.
The invention has the beneficial effects that: and if the calculated first variance value of the residual electric quantity of all the electric cores is larger than the preset variance value, establishing a model for respectively outputting/inputting set voltage to each electric core in set time for each electric core, and balancing the electric cores in the battery pack by outputting/inputting the voltage through the model.
Drawings
FIG. 1 is a flow chart of an embodiment of a method for managing battery equalization according to the present invention;
FIG. 2 is a block diagram illustrating an embodiment of a method for managing battery equalization in accordance with the present invention;
FIG. 3 is a block diagram of one embodiment of a management circuit for battery equalization in accordance with the present invention;
FIG. 4 is a block diagram illustrating an embodiment of a sampling module in a battery equalization management circuit according to the present invention;
FIG. 5 is a block diagram illustrating an embodiment of a storage medium of the present invention;
FIG. 6 is a block diagram of one embodiment of a computer device of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. 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.
It should be noted that, in the embodiments of the present invention, all directional indicators (such as up, down, left, right, front, and back) are merely used to explain the relative positional relationship, movement conditions, and the like between the components in a specific posture (as shown in the drawings), if the specific posture is changed, the directional indicators correspondingly change, and the connection may be a direct connection or an indirect connection.
The term "and/or" is herein merely an association relation describing an associated object, meaning that there may be three relations, e.g., a and B, may represent: a exists alone, A and B exist together, and B exists alone.
Furthermore, descriptions such as those referred to as "first," "second," and the like, are provided for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implying an order of magnitude of the indicated technical features in the present disclosure. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Referring to fig. 1, the present invention proposes a battery equalization management method, including: a method of managing battery equalization, comprising:
s1: collecting the residual electricity quantity in each cell in the battery pack;
s2: calculating first variance values of residual electric quantity in all the electric cores;
s3: judging whether the first variance value is larger than a preset variance value or not;
s4: if the voltage is larger than the preset voltage, a model for respectively outputting/inputting the preset voltage of each battery cell in a set time is built according to the residual electric quantity in each battery cell, wherein the model comprises the set time and the voltage respectively output/input by each battery cell;
s5: and controlling each cell to output/input corresponding voltage in the model within the set time.
As described in step S1, the residual electric power in each cell in the battery pack is collected, where the residual electric power may be directly collected by a coulombmeter, or the residual electric power of the battery may be estimated by collecting the voltage and the current at two ends of the cell, and the estimation method may be any one of an ampere-hour integration method, a kalman filtering method and an adaptive kalman filtering method.
As described in the above step S2, after the remaining power of all the battery cells is obtained, the first variance value of the remaining power of all the battery cells is calculated Wherein n is the number of battery cells, S 2 As a first variance value, x 1 、x 2 、…、x n And the residual electric quantity of the No. 1 electric core to the No. n electric core is represented.
As described in step S3, whether the first variance value is greater than a preset variance value is determined, the preset variance value is set manually, when the first variance value exceeds the preset variance value, the remaining power of the battery cells in the battery pack is determined to be unbalanced, and when the first variance value is less than the preset variance value, the remaining power of the battery cells in the battery pack is determined to be in a balanced state, and no adjustment is required.
As described in step S4, when the first variance value is determined to be greater than the preset variance value, the remaining power of each cell in the battery pack needs to be balanced, and the remaining power of each cell is obtained, so that in the discharging process, the established model may be to increase the voltage output by the cell with the greater remaining power and/or decrease the voltage output by the cell with the less remaining power; if during the charging process, the model may be built up by increasing the voltage of the cell input with less residual electric power and/or decreasing the voltage of the cell input with higher residual electric power, and since the battery pack is balanced after a certain time, a set time is required to be specified to make the battery pack not generate new unbalance after the battery pack is balanced, where the voltage of the output/input set by each cell should make the voltage of the output/input of the whole battery pack within a preset range (i.e. the rated voltage range of the output/input of the battery pack), preferably the set voltage of the output/input that makes the whole battery pack reach the balance as soon as possible, and the set time is determined according to the voltage of the output or input.
As described in step S5, the voltage setting time specified by the output/input of each cell is controlled to balance the battery pack, after the setting time, the variance value of the remaining power of the current cell can be detected again, and if the variance value is smaller than the preset variance value, the initial voltage value of the output/input of each cell can be controlled, and the initial voltage value is the voltage value of the output/input of each cell set by the manufacturer in factory.
In this embodiment, the step S1 includes:
s11: acquiring voltage values and current values of two ends of each battery cell in the current battery pack;
s12: estimating the SOC of each battery cell according to the voltage value and the current value at two ends of each battery cell;
s13: and recording the estimated battery cell SOC as the residual electric quantity in the battery cell.
As described in step S11 above, since the remaining power of each cell has certain limitations and errors in coulomb measurement, the SOC (state of charge) of each cell is estimated by obtaining the voltage value and the current value at both ends of each cell in the current battery pack, and then by any one of the ampere-hour integration method, the kalman filter method and the adaptive kalman filter method, and then this SOC is recorded as the remaining power in the cell for calculation.
In this embodiment, the step S4 includes:
s41: carrying out regression analysis on the residual electric quantity in all the electric cores;
s42: screening out abnormal cells with residual electric quantity larger than the residual electric quantity corresponding to the regression line equation obtained by regression analysis and with discreteness larger than a set value;
s43: and establishing an abnormal model for the abnormal battery cells, and establishing a normal model for the rest battery cells.
As described in step S41 above, regression analysis is performed on the amounts of electricity remaining in all the cells, and the regression analysis establishes an equation of y=a (where y is the amount of electricity remaining, a is a constant value), and the abscissa x is the respective cells.
As described in step S42, if the remaining power is greater than the corresponding remaining power (i.e., the constant a) in the regression line equation and the discreteness is greater than the abnormal cell corresponding to the set value, which is a preset value, during the discharging process of the battery, the objective is to select the abnormal cell with the remaining power far exceeding the average level.
As described in step S43, since the respective remaining electric quantities of the respective electric cells have different values, an abnormal model needs to be built for the abnormal electric cells, and a normal model needs to be built for the remaining electric cells so that the remaining electric quantities of the battery cells can be balanced, where the normal model may be that the remaining electric cells are not adjusted.
In addition, a model can be built for the battery cell with the residual electric quantity smaller than the residual electric quantity corresponding to the regression line equation obtained by regression analysis and the discreteness larger than the set value so as to reduce the output voltage.
In another embodiment, when the battery is in a charging state, the remaining electric quantity is screened out to be smaller than the remaining electric quantity corresponding to a regression line equation obtained by regression analysis, and the discreteness is larger than an abnormal battery cell corresponding to a set value; and (3) building a model to increase the charging voltage of the abnormal battery cell, wherein the residual electric quantity is larger than the residual electric quantity corresponding to the regression line equation obtained by regression analysis, the discreteness is larger than the abnormal battery cell corresponding to the set value, and the charging voltage is reduced.
In this embodiment, the step S43 includes:
s431: acquiring a voltage range output by the battery pack;
s432: calculating according to the voltage range to obtain the range of the set voltage;
s433: setting the output set voltage of the abnormal battery cell;
s434: calculating a difference value between the voltage corresponding to the regression line equation and the abnormal cell output set voltage;
s445: and setting the setting time according to the difference value.
As described in the above steps S431-S432, since the battery pack has an output voltage range when outputting voltage, the output voltage range is set by the manufacturer when leaving the factory, in order to ensure that the voltage output by the battery pack can be within the range, the set voltage output by the abnormal battery cell is set, so that the voltage output by the whole battery pack cannot exceed the preset range.
As described in the above steps S433-S435, the difference between the voltage (i.e., the constant a) corresponding to the regression line equation and the output set voltage of the abnormal cell is calculated, and then the corresponding set time is calculated according to the remaining power of the abnormal cell and the difference, so that the variance value between the remaining power of the cell after the set time and the remaining power of other cells is smaller than the preset variance value, thereby achieving balance.
In this embodiment, after the step S5, the method includes:
s6: calculating second variance values of the residual electric quantity in all the electric cores after the set time;
s7: judging whether the second variance value is smaller than the preset variance value or not;
s8: and if the voltage is smaller than the preset voltage, modifying the current set voltage of the abnormal battery cell into the voltage corresponding to the regression line equation.
As described in the above steps S6-S8, since the cells in the battery pack may not be in the balanced state after a round of adjustment, the second variance value of the remaining power in all the cells after the set time may be calculated, if the second variance value is smaller than the second variance value, it indicates that the remaining power of the cells in the battery pack has reached the balance, and in this case, in order to prevent new imbalance, the set voltage of the current abnormal cell may be modified to the voltage corresponding to the regression line equation. In another embodiment, the voltage set at the time of shipment can be modified. And if the second variance value is still larger than the second variance value, the next round of modification is needed until the variance value of the residual electric quantity of the electric core in the battery pack is smaller than the preset variance value.
The invention has the beneficial effects that: and if the calculated first variance value of the residual electric quantity of all the electric cores is larger than the preset variance value, establishing a model for respectively outputting/inputting set voltage to each electric core in set time for each electric core, and balancing the electric cores in the battery pack by outputting/inputting the voltage through the model.
Referring to fig. 2 and 3, the invention further provides a battery equalization management circuit, which comprises a switch module 2, a sampling module 5, a processing module 3, a transformation module 4 and a battery pack 1; the sampling module 5 is used for collecting the residual electricity quantity in each cell in the battery pack and sending the collected information to the processing module; the processing module 3 is configured to calculate a first variance value of the remaining power in all the electric cells, determine whether the first variance value is greater than a preset variance value, and if so, establish a voltage model for each electric cell to output/input in a set time according to the remaining power in each electric cell, where the model includes the set time and the voltage for each electric cell to output/input respectively; the processing module 3 controls each cell to output/input corresponding voltage in the model in a set time through the voltage transformation module 4.
In this embodiment, the method for managing the battery equalization in the steps S1-S5 is implemented by the switch module 2, the sampling module 5, the processing module 3, the transformation module 4 and the battery pack 1, and the detailed principle of implementing the battery equalization is not described herein, and it should be noted that, referring to the method for managing the battery equalization in the steps S1-S5, the sampling module 5 may directly obtain the remaining electric quantity of each electric core through a coulomb meter, or may obtain the voltage value and the current value at two ends of each electric core, and then calculate to obtain the remaining electric quantity, where the calculation process may be performed in the processing module 3, or may be performed in the sampling module 5, and then sent to the processing module 3, where it should be understood that the collected information may be the remaining electric quantity, or may be the voltage value and the current value at two ends of each electric core.
In this embodiment, the sampling module 5 includes a sampling resistor R39 and a comparator L1, the sampling resistor R39 is connected in series in a loop including a switch, one end of the sampling resistor R39 connected to the negative electrode of the battery cell is connected to the reverse input end of the comparator L1, one end of the sampling resistor R39 connected to the positive electrode of the battery cell is connected to the forward input end of the comparator L1, a third current limiting resistor R29 is further disposed between the output end of the comparator L1 and the forward input end of the comparator L1, the output end of the comparator L1 is connected to the processing module 3, and the reverse input end of the comparator L1 is grounded after passing through a protection resistor R33. For collecting the current across the current core; one end of the positive electrode of the battery core is also connected with the processing module 3 and is used for acquiring the voltages at two ends of the battery core; the processing module 3 calculates the residual electricity quantity in the battery cell according to the current at the two ends of the battery cell and the voltage at the two ends of the battery cell.
In a specific embodiment, the sampling module 5 may obtain, through the connection manner described above, the current at two ends of the connected battery cell through the comparator L1 and the sampling resistor R39, obtain the voltage at two ends of the battery cell through directly connecting with the positive electrode of the battery cell, and then transmit the obtained current and voltage to the processing module 3, and the processing module 3 calculates the corresponding remaining electric quantity.
In this embodiment, the connected battery cells can be controlled by controlling the relay, so as to detect the battery cells in the battery pack 1 one by one, please refer to fig. 3, the first relay K1 and the second relay K2 are respectively connected with the IO1 end and the IO2 end of the processing module 3 correspondingly, a first triode Q23 is arranged between the first relay K1 and the IO1 end of the processing module, the processing module 3 controls the on-off of the first triode Q23 and then controls the on-off of the first relay, meanwhile, a first current limiting resistor R25 is also arranged, a second triode Q22 is arranged between the second relay K2 and the IO2 end of the processing module 3, the processing module 3 controls the on-off of the second relay by controlling the on-off of the second triode Q22, meanwhile, a second current limiting resistor R27 is further arranged and controlled by the processing module 3, the relay can cut off connection between the anode and the cathode of the battery core and the sampling module 5, when the first battery core needs to be detected, the first relay K1 is controlled to be attracted, the second relay K2 is controlled to be disconnected, then when the anode of the battery core is attracted, the first relay K1 forms a circuit loop, so that the processing module 3 can acquire voltages at two ends of the battery core, the sampling resistor R39 is connected in series in the loop, then current at two ends of the battery core can be acquired through the comparator L1 and is transmitted to the processing module 3 through the AD2 end of the processing module 3, and then the processing module 3 calculates the residual electric quantity of the battery core according to the acquired voltages and currents.
Referring to fig. 4, the present invention also provides a battery equalization management device, including:
the sampling module 10 is used for collecting the residual electricity quantity in each cell in the battery pack;
a first variance value calculating module 20, configured to calculate a first variance value of the remaining power in all the battery cells;
a first variance value judging module 30, configured to judge whether the first variance value is greater than a preset variance value;
a modeling module 40, configured to establish a model for respectively outputting/inputting a set voltage for each cell within a set time according to the amount of power remaining in each cell, where the model includes the set time and the set voltage respectively output/input by each cell;
the control module 50 is configured to control each cell to output/input the corresponding set voltage in the model within the set time.
The residual electric quantity in each cell in the battery pack is collected through the sampling module 10, wherein the residual electric quantity can be directly collected through a coulombmeter, and the residual electric quantity of the battery can be estimated through collecting the voltage and the current at two ends of the cell, and the estimation method can be any one of an ampere-hour integration method, a Kalman filtering method and an adaptive Kalman filtering method.
When the remaining power of all the battery cells is obtained, a first variance value of the remaining power of all the battery cells is calculated by the first variance value calculation module 20 Wherein n is the number of battery cells, S 2 As a first variance value, x 1 、x 2 、…、x n And the residual electric quantity of the No. 1 electric core to the No. n electric core is represented.
The first variance value judging module 30 judges whether the first variance value is greater than a preset variance value, the preset variance value is set manually, when the first variance value exceeds the preset variance value, the remaining capacity of the battery cells in the battery pack can be determined to be unbalanced, and when the first variance value is smaller than the preset variance value, the remaining capacity of the battery cells in the battery pack can be determined to be in a balanced state without adjustment.
When the first variance value is determined to be greater than the preset variance value, balancing the remaining power of each cell in the battery pack, and obtaining the remaining power of each cell, so that in the discharging process, the model established by the modeling module 40 can be the voltage output by the cell with the higher remaining power and/or the voltage output by the cell with the lower remaining power; if during the charging process, the model may be built up by increasing the voltage of the cell input with less residual electric power and/or decreasing the voltage of the cell input with higher residual electric power, and since the battery pack is balanced after a certain time, a set time is required to be specified to make the battery pack not generate new unbalance after the battery pack is balanced, where the voltage of the output/input set by each cell should make the voltage of the output/input of the whole battery pack within a preset range (i.e. the rated voltage range of the output/input of the battery pack), preferably the set voltage of the output/input that makes the whole battery pack reach the balance as soon as possible, and the set time is determined according to the voltage of the output or input.
The control module 50 controls the designated voltage setting time of each cell output/input to balance the battery pack, after the setting time, the variance value of the current residual electric quantity of each cell can be detected again, and if the variance value is smaller than the preset variance value, the initial voltage value of each cell output/input can be controlled, and the initial voltage value is the voltage value of each cell output/input set by a manufacturer in factory.
In this embodiment, the sampling module 10 includes:
the acquisition sub-module is used for acquiring the voltage value and the current value at two ends of each battery cell in the current battery pack;
the SOC calculation submodule is used for estimating the SOC of each battery cell according to the voltage value and the current value at two ends of each battery cell;
and the marking module is used for marking the estimated battery cell SOC as the residual electricity quantity in the battery cell.
Because the residual electric quantity of each battery cell has certain limitation and error through coulomb meter measurement, the SOC (state of charge) of each battery cell is estimated through any one of an ampere-hour integration method, a Kalman filtering method and an adaptive Kalman filtering method by acquiring the voltage value and the current value at two ends of each battery cell in the current battery pack, and then the SOC of each battery cell is recorded as the residual electric quantity in the battery cell for calculation.
In this embodiment, the modeling module 40 includes:
the regression analysis submodule carries out regression analysis on the residual electric quantity in all the electric cores;
the screening submodule screens out residual electric quantity which is larger than residual electric quantity corresponding to a regression line equation obtained by regression analysis and the discreteness of the residual electric quantity is larger than an abnormal electric core corresponding to a set value;
and the model building sub-module is used for building an abnormal model for the abnormal battery cells and building a normal model for the rest battery cells.
Regression analysis is performed on the remaining electric power in all the electric cells, and an equation established by the regression analysis is y=a (where y is the remaining electric power, a is a constant value), and the abscissa x is each electric cell. If the residual electric quantity is larger than the corresponding residual electric quantity (namely constant a) in the regression line equation in the discharging process of the battery, the discreteness is larger than the abnormal electric core corresponding to the set value, and the set value is a preset value, so that the abnormal electric core with the residual electric quantity far exceeding the average level is selected. Because the values of the residual electric quantity of each battery cell are different, an abnormal model needs to be built for the abnormal battery cells, and a normal model is built for the rest battery cells so that the balance of the residual electric quantity of the battery cells can be achieved, wherein the normal model can be that the rest battery cells are not adjusted.
In addition, a model can be built for the battery cell with the residual electric quantity smaller than the residual electric quantity corresponding to the regression line equation obtained by regression analysis and the discreteness larger than the set value so as to reduce the output voltage.
In another embodiment, when the battery is in a charging state, the remaining electric quantity is screened out to be smaller than the remaining electric quantity corresponding to a regression line equation obtained by regression analysis, and the discreteness is larger than an abnormal battery cell corresponding to a set value; and (3) building a model to increase the charging voltage of the abnormal battery cell, wherein the residual electric quantity is larger than the residual electric quantity corresponding to the regression line equation obtained by regression analysis, the discreteness is larger than the abnormal battery cell corresponding to the set value, and the charging voltage is reduced.
In this embodiment, the model building sub-module includes:
an acquisition unit that acquires a voltage range output by the battery pack;
a range calculation unit for calculating the range of the set voltage according to the voltage range;
a setting voltage setting unit for setting the output setting voltage of the abnormal cell;
the difference value calculation unit is used for calculating the difference value between the voltage corresponding to the regression line equation and the output set voltage of the abnormal battery cell;
and a setting time setting unit for setting the setting time according to the difference value.
When the battery pack outputs voltage, the battery pack has an output voltage range, wherein the output voltage range is set by a manufacturer when the battery pack leaves a factory, and in order to ensure that the output voltage of the battery pack can be within the range, the set voltage output by the abnormal battery cell is set, so that the output voltage of the whole battery pack cannot exceed the preset range. And calculating a difference value between the voltage (namely constant a) corresponding to the regression line equation and the output set voltage of the abnormal battery cell, and then calculating corresponding set time according to the residual electric quantity of the abnormal battery cell and the difference value, so that the variance value of the residual electric quantity of the battery cell after the set time and the residual electric quantity of other battery cells is smaller than a preset variance value, and balance is achieved.
In this embodiment, a battery equalization management device includes:
the second variance value calculation module is used for calculating second variance values of the residual electric quantity in all the electric cores after the set time;
the second variance value judging module judges whether the second variance value is smaller than the preset variance value or not;
and the modification module is used for modifying the current set voltage of the abnormal battery cell into the voltage corresponding to the regression line equation if the second variance value is smaller than the preset variance value.
After a round of adjustment, the battery cells in the battery pack may not be in a balanced state, so the second variance value of the residual electric quantity in all the battery cells after the set time can be calculated, if the second variance value is smaller than the second variance value, it is indicated that the residual electric quantity of the battery cells in the battery pack has reached the balance, and in order to prevent new unbalance, the set voltage of the current abnormal battery cell can be modified into the voltage corresponding to the regression line equation. In another embodiment, the voltage set at the time of shipment can be modified. And if the second variance value is still larger than the second variance value, the next round of modification is needed until the variance value of the residual electric quantity of the electric core in the battery pack is smaller than the preset variance value.
Referring to fig. 5, the present application also provides a storage medium 100, in which a computer program 200 is stored which, when run on a computer, causes the computer to perform the battery equalization management method described in the above embodiments.
Referring to fig. 6, the present application also provides a computer apparatus 300 including the above-described storage medium 100, which when the computer program 200 stored in the above-described storage medium 100 runs on the computer apparatus 300, causes the computer apparatus 300 to execute the battery equalization management method described in the above embodiment through the processor 400 provided therein.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a storage medium or transmitted from one storage medium to another storage medium, for example, from one website, computer, server, or data center by wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The storage medium may be any available medium that can be stored by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), etc.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A method for managing battery equalization, comprising:
collecting the residual electricity quantity in each cell in the battery pack;
calculating first variance values of residual electric quantity in all the electric cores;
judging whether the first variance value is larger than a preset variance value or not;
if the power consumption is larger than the preset voltage, a model for respectively outputting/inputting the preset voltage of each battery cell in a set time is built according to the residual power consumption in each battery cell, wherein the model comprises the set time and the preset voltage respectively output/input by each battery cell;
if the model is established in the discharging process, the voltage output by the battery core with more residual electric quantity is increased and/or the voltage output by the battery core with less residual electric quantity is reduced; if in the charging process, the built model is to increase the voltage of the cell input with less residual electric quantity and/or decrease the voltage of the cell input with higher residual electric quantity;
and controlling each cell to output/input the corresponding set voltage in the model within the set time.
2. The method for managing battery equalization as set forth in claim 1, wherein said step of collecting the remaining power in each cell of the battery pack comprises:
acquiring voltage values and current values of two ends of each battery cell in the current battery pack;
estimating the SOC of each battery cell according to the voltage value and the current value at two ends of each battery cell;
and recording the estimated battery cell SOC as the residual electric quantity in the battery cell.
3. The battery equalization management method of claim 1, wherein the step of modeling each cell to output/input a set voltage within a set time based on the amount of power remaining in each cell, comprises:
carrying out regression analysis on the residual electric quantity in all the electric cores;
screening out abnormal cells with residual electric quantity larger than the residual electric quantity corresponding to the regression line equation obtained by regression analysis and with discreteness larger than a set value;
and establishing an abnormal model for the abnormal battery cells, and establishing a normal model for the rest battery cells.
4. The method for managing battery equalization as set forth in claim 3, wherein said step of modeling said abnormal cells comprises:
acquiring a voltage range output by the battery pack;
calculating according to the voltage range to obtain a range of set voltage corresponding to the abnormal battery cell;
setting the output set voltage of the abnormal battery cell;
calculating a difference value between the voltage corresponding to the regression line equation and the abnormal cell output set voltage;
and setting the setting time according to the difference value.
5. The method for managing battery equalization as set forth in claim 3 or 4, wherein said step of controlling each cell to output/input the corresponding set voltage in said model within said set time, after said step of controlling each cell to output/input the corresponding set voltage in said model, comprises:
calculating second variance values of the residual electric quantity in all the electric cores after the set time;
judging whether the second variance value is smaller than the preset variance value or not;
and if the voltage is smaller than the preset voltage, modifying the current set voltage of the abnormal battery cell into the voltage corresponding to the regression line equation.
6. A battery equalization management circuit employing the method of any of claims 1-5, comprising a switch module, a sampling module, a processing module, a transformation module, and a battery pack;
the sampling module is used for collecting residual electricity quantity in each cell in the battery pack and sending collected information to the processing module;
the processing module is used for calculating first variance values of the residual electric quantity in all the electric cores, judging whether the first variance values are larger than preset variance values, if so, establishing voltage models which are respectively output/input by all the electric cores in set time according to the residual electric quantity in all the electric cores, wherein the models comprise the set time and the voltages which are respectively output/input by all the electric cores;
if the model is established in the discharging process, the voltage output by the battery core with more residual electric quantity is increased and/or the voltage output by the battery core with less residual electric quantity is reduced; if in the charging process, the established model may be to increase the voltage of the cell input with less residual electric quantity and/or decrease the voltage of the cell input with higher residual electric quantity;
the processing module controls each cell to output/input corresponding voltage in the model within the set time through the transformation module.
7. The battery equalization management circuit of claim 6, wherein the sampling module comprises a sampling resistor and a comparator, the sampling resistor is connected in series in a loop comprising the switch, one end of the sampling resistor connected with the negative electrode of the battery cell is connected with the reverse input end of the comparator, one end of the sampling resistor connected with the positive electrode of the battery cell is connected with the forward input end of the comparator, and the output end of the comparator is connected with the processing module for collecting the current at both ends of the battery cell;
one end of the positive electrode of the battery cell is also connected with the processing module and is used for collecting voltages at two ends of the battery cell;
and the processing module calculates the residual electricity quantity in the battery cell according to the current at the two ends of the battery cell and the voltage at the two ends of the battery cell.
8. A battery equalization management device employing the method of any one of claims 1-5, comprising:
the sampling module is used for collecting the residual electricity quantity in each cell in the battery pack;
the first variance value calculation module is used for calculating the first variance values of the residual electric quantity in all the electric cores;
the first variance value judging module is used for judging whether the first variance value is larger than a preset variance value or not;
the modeling module is used for establishing a model for respectively outputting/inputting set voltages of each battery cell in set time according to the residual electric quantity in each battery cell, wherein the model comprises the set time and the set voltages respectively output/input by each battery cell;
if the model is established in the discharging process, the voltage output by the battery core with more residual electric quantity is increased and/or the voltage output by the battery core with less residual electric quantity is reduced; if in the charging process, the established model may be to increase the voltage of the cell input with less residual electric quantity and/or decrease the voltage of the cell input with higher residual electric quantity;
and the control module is used for controlling each cell to output/input the corresponding set voltage in the model within the set time.
9. A storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of managing battery equalization according to any of claims 1 to 5.
10. A computer device, characterized in that it comprises a processor, a memory and a computer program stored on the memory and executable on the processor, the processor executing the computer program implementing the steps of the method for managing battery balancing according to any one of claims 1 to 5.
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