Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a storage battery charging management method and device, which solve the problems that in the existing storage battery charging management process, continuous constant-voltage charging has incomplete charging, constant-current charging can also cause the problem of capacity reduction of a storage battery, even though the temperature is increased due to the continuous charging process through the switching operation of charging, and the gradual analysis and monitoring of data cannot be carried out during the charging management, so that the charging operation has the problems of low charging efficiency, incapacity of realizing full charging operation and capacity reduction of the storage battery.
In order to achieve the purpose, the invention is realized by the following technical scheme that the method for managing the charging of the storage battery pack specifically comprises the following steps:
A1, classifying and summarizing historical storage battery data into a storage database, and performing primary screening based on selection of charging data;
A2, secondary screening is carried out on the charging data, required data content is screened according to management operation, analysis processing is carried out on the data content according to a data management system, automatic regulation operation of charging of the storage battery pack is carried out according to the analysis processing result, and the processing operation of the data management system is as follows:
a21, acquiring state data of the storage battery pack during charging, wherein the state data comprises self information data of the storage battery, charging current, charging voltage, charging time and temperature data of the storage battery during charging;
a22, establishing a change model related to the charging of the storage battery pack based on state data, reflecting the charge states of the batteries under different charging time periods through the change model, predicting the charging problem according to the feedback of the charge values of the batteries, and simultaneously completing the charging management operation by combining the temperature data of the storage battery during charging;
a23, generating a result generated by management into a control operation related to a processing instruction and transmitting the control operation through a data transmission module to realize a subsequent charging strategy;
A3, applying a charging strategy to charging control operation of the charging storage battery, collecting data generated by charging in real time, and simultaneously verifying a threshold value generated by prediction of a change model.
Preferably, the preliminary screening in A1 is performed by:
a11, classifying historical storage battery data after summarizing, and classifying the historical storage battery data into charging data, unused data and discharging data;
a12, extracting the classified charging data, and storing the rest data into a storage database after screening;
a13, sequentially sorting the charging data according to the time change to form a charging data set labeled P.
Preferably, the secondary screening operation of the charging data in A2 is as follows:
B1, marking a mapping template corresponding to the required data content as Q, and introducing a charging data subset based on a charging data set P into the mapping template Q for matching;
B2, matching according to the self information data, charging current, charging voltage, charging time and data types of the storage battery temperature during charging in the mapping template Q, and sequentially inserting numerical content into the data types of the mapping template Q according to the continuous sequence change of the charging time from the charging data set P to obtain a required content data set marked as L;
and B3, screening out the rest charging data and storing the rest charging data in a storage database until the required data content is completely matched.
Preferably, the change model in a22 operates as follows for the states of charge of the battery under different charging durations:
c1a, introducing content data L into a change model, and converting the data to form a curve related to state data;
C2a, analyzing operation at different time periods is realized according to the change degree of the state data curve, and determining that the charging strategy nodes need to be switched in the charging process is completed;
And C3a, summarizing the data of the switching charging strategy nodes to form a switching node data set which is marked as M.
Preferably, the step of converting the C1a data to form a curve related to the state data includes:
c1a1, taking the change of the charging time of the data type as an X axis, taking the charging time as a coordinate point on the X axis In sequence by taking each minute as a partition node, marking the charging time as Tn, taking the charging current, the charging voltage and the charge storage value of the storage battery as Y axes, taking the charging current, the charging voltage and the charge storage value of the storage battery corresponding to the partition node Tn as coordinate points on the Y axes, marking the charging current as In, marking the charging voltage as Un, and marking the charge storage value of the storage battery as SOCn;
c1a2, respectively carrying out connection operation on the corresponding charging current In, the charging voltage Un and the storage battery charge storage value SOCn according to the sequence of coordinate points Tn on the X axis to form a change curve about Tn and In, a change curve about Tn and Un and a change curve about Tn and SOCn.
Preferably, the analysis operation of the C2a on the status data curve is as follows:
c2a1, calculating to obtain a change rate mark of the charge as V according to the storage value of the storage battery charge at the adjacent coordinate point in the Tn-SOCn change curve;
c2a2, marking a deviation threshold value of a change rate V of the charge based on normal fluctuation during charging as w, and marking an SOCn change curve segment exceeding the change rate V by which the change rate V exceeds the range of the deviation threshold value compared with the former change rate V by the change rate V generated in the curve data;
c2a3, and labeled SOCn variogram segment analysis, there are the following results:
As a result, when the change rate V of the marked SOCn change curve segment is larger than the preamble change rate V of the compensation deviation threshold value, the charging efficiency is improved, and the temperature is not changed, and the abnormal current and voltage input or the abnormal rated charge of the storage battery is judged;
As a result, if the second rate of change V of the SOCn change curve segment is smaller than the preamble change rate V of the offset threshold, the charging efficiency is reduced, and the input current and voltage are not changed, and it is determined that there is an abnormality in the charging temperature.
Preferably, the rate of change V of the charge in c2a1 is calculated as:
V=(SOCn-SOCn-1)±w,n≥2;
Wherein, SOCn is the storage battery charge value of the nth coordinate point, and SOC n-1 is the storage battery charge value before SOCn;
the calculation formula of SOCn is:
Wherein, SOC 0 is the initial charge state, in is the battery charging current at the nth time coordinate point, tn is the nth time coordinate point, and C is the total capacity of the battery;
and the judgment formula of the SOCn variation curve segment abnormality mark is as follows:
I.e., (SOC n-SOCn-1) > w, i.e., result one;
Namely (SOC n-SOCn-1) < -w, namely the result two.
Preferably, the operation of a22 in combination with the temperature data of the storage battery during charging is:
c1b, according to the data feedback generated by the result II, acquiring and marking the temperature data of the storage battery as Jn, and sequencing according to a time sequence to obtain a change curve of the change rates V and Jn;
C2b, and dividing the change curves of V and Jn by inserting a normal function about the change rate V, wherein the function is y=v Flat plate , and V Flat plate is an average value of the normal increase rate of the charge quantity of the storage battery;
And C3b, when the curve above the V Flat plate is in the rising characteristic state, generating a command for cooling the temperature for cooling the storage battery or generating a regulating command for charging voltage.
Preferably, the charging switching operation in A3 is:
in the charging stage, when a marked SOCn variable curve segment is encountered and the result is one, a constant current charging strategy is controlled to generate an instruction for reducing the charging input current, and if the charging input current is still unchanged after the duration t, a power-off instruction for charging operation is generated;
and a32, in the charging stage, when encountering a marked SOCn change curve segment and being a result II, switching the charging strategy based on the constant current to the charging strategy of the variable voltage, and generating a command for reducing the temperature of the storage battery according to the C3b operation.
The invention also discloses a device adopting the storage battery pack charging management method, which comprises the following steps:
the charging unit comprises charging equipment and is used for carrying out data adjustment operation during charging to complete the charging operation of the storage battery;
The monitoring unit comprises an electric energy meter, a timer, a thermometer and a control unit, wherein the electric energy meter is used for measuring the voltage and the current of charging, the electric energy storage capacity of the storage battery, and the timer and the thermometer are used for measuring the charging time and the temperature of the storage battery during charging;
the adjusting unit comprises cooling equipment for adjusting the temperature of the storage battery.
The invention provides a storage battery pack charging management method and device. Compared with the prior art, the method has the following beneficial effects:
(1) According to the storage battery charging management method and device, historical storage battery data are screened to obtain charging data, the data content is analyzed and processed according to the data management system, automatic adjustment operation of storage battery charging is carried out according to the analysis and processing result, curve segment marks of charge change rate are found according to the relation change of the charging data, and instructions corresponding to storage battery charging control management are obtained based on curve segment analysis, so that the influence on the storage capacity of the storage battery is reduced in the operation process of ensuring that the storage battery is charged.
(2) According to the storage battery charging management method and device, after the prediction of the abnormal problem is obtained based on curve segment analysis, the abnormal problem is introduced into the temperature data of the storage battery according to the abnormal problem, the change trend of the temperature generated based on the charging process is judged, and meanwhile, the node where the temperature changes is determined based on the rate of change of the charge storage value of the storage battery, so that a cooling instruction is generated to complete the management of the charging operation of the storage battery, the charging efficiency is improved under the condition that the storage battery is not subjected to capacity loss is guaranteed, and the self-adaptive control management operation is realized.
(3) According to the storage battery pack charging management method and device, through primary screening and secondary screening operations, required charging data are obtained firstly, and then the required data content is obtained by mapping based on the content of the required type data and the charging data, so that analysis efficiency of redundant influence data of more data in the management operation process is reduced, meanwhile, a curve of state data can be obtained based on a change model more quickly, abnormality in the charging process is found more clearly, and adaptability and adjustment rate for the charging operation are improved.
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. 1-3, the present invention provides two technical schemes:
an embodiment one, a method for managing battery pack charging, specifically includes the following steps:
A1, classifying and summarizing historical storage battery data into a storage database, and performing primary screening based on selection of charging data;
A2, secondary screening is carried out on the charging data, required data content is screened according to management operation, analysis processing is carried out on the data content according to a data management system, automatic regulation operation of charging of the storage battery pack is carried out according to the analysis processing result, and the processing operation of the data management system is as follows:
a21, acquiring state data of the storage battery pack during charging, wherein the state data comprises self information data of the storage battery, charging current, charging voltage, charging time and temperature data of the storage battery during charging;
a22, establishing a change model related to the charging of the storage battery pack based on state data, reflecting the charge states of the batteries under different charging time periods through the change model, predicting the charging problem according to the feedback of the charge values of the batteries, and simultaneously completing the charging management operation by combining the temperature data of the storage battery during charging;
a23, generating a result generated by management into a control operation related to a processing instruction and transmitting the control operation through a data transmission module to realize a subsequent charging strategy;
A3, applying a charging strategy to charging control operation of the charging storage battery, collecting data generated by charging in real time, and simultaneously verifying a threshold value generated by prediction of a change model.
According to the operation in a22, when (SOC n-SOCn-1) > w or (SOC n-SOCn-1) < -w is generated in the result of analysis, the starting point of the abnormal curve segment is the threshold value generated by model prediction, and similarly, the threshold value node about temperature is when the change rate V of the charge quantity of the storage battery per minute exceeds the function y=v Flat plate , and the data is used in the management operation of the storage battery charging of the same model, the adaptive charging switching operation can be completed.
The method comprises the steps of screening historical storage battery data to obtain charging data, analyzing and processing data content according to a data management system, automatically adjusting the charging of the storage battery according to the analysis and processing result, finding out curve segment marks of charge change rate according to the relation change of the charging data, and obtaining a command corresponding to the charging control management of the storage battery based on curve segment analysis, so that the influence on the self storage capacity of the storage battery is reduced in the operation process of ensuring that the storage battery is charged.
In the embodiment of the invention, the preliminary screening operation in A1 is as follows:
a11, classifying historical storage battery data after summarizing, and classifying the historical storage battery data into charging data, unused data and discharging data;
a12, extracting the classified charging data, and storing the rest data into a storage database after screening;
a13, sequentially sorting the charging data according to the time change to form a charging data set labeled P.
In the embodiment of the invention, the secondary screening operation of the charging data in A2 is as follows:
B1, marking a mapping template corresponding to the required data content as Q, and introducing a charging data subset based on a charging data set P into the mapping template Q for matching;
B2, matching according to the self information data, charging current, charging voltage, charging time and data types of the storage battery temperature during charging in the mapping template Q, and sequentially inserting numerical content into the data types of the mapping template Q according to the continuous sequence change of the charging time from the charging data set P to obtain a required content data set marked as L;
and B3, screening out the rest charging data and storing the rest charging data in a storage database until the required data content is completely matched.
The method comprises the steps of obtaining required charging data through primary screening and secondary screening, mapping the content of the required category data with the charging data, and obtaining the required data content, so that analysis efficiency of redundant influence data of more data in the management operation process is reduced, meanwhile, a curve of state data can be obtained based on a change model more quickly, abnormality in the charging process is found more clearly, and adaptability and adjustment rate for the charging operation are improved.
In the embodiment of the invention, the change model in a22 is operated for the charge states of the batteries under different charge durations:
c1a, introducing content data L into a change model, and converting the data to form a curve related to state data;
C2a, analyzing operation at different time periods is realized according to the change degree of the state data curve, and determining that the charging strategy nodes need to be switched in the charging process is completed;
And C3a, summarizing the data of the switching charging strategy nodes to form a switching node data set which is marked as M. In the embodiment of the invention, the step of converting the C1a data to form a curve related to the state data is as follows:
c1a1, taking the change of the charging time of the data type as an X axis, taking the charging time as a coordinate point on the X axis In sequence by taking each minute as a partition node, marking the charging time as Tn, taking the charging current, the charging voltage and the charge storage value of the storage battery as Y axes, taking the charging current, the charging voltage and the charge storage value of the storage battery corresponding to the partition node Tn as coordinate points on the Y axes, marking the charging current as In, marking the charging voltage as Un, and marking the charge storage value of the storage battery as SOCn;
c1a2, respectively carrying out connection operation on the corresponding charging current In, the charging voltage Un and the storage battery charge storage value SOCn according to the sequence of coordinate points Tn on the X axis to form a change curve about Tn and In, a change curve about Tn and Un and a change curve about Tn and SOCn.
In the embodiment of the present invention, the analysis operation of the C2a on the state data curve is:
c2a1, calculating to obtain a change rate mark of the charge as V according to the storage value of the storage battery charge at the adjacent coordinate point in the Tn-SOCn change curve;
c2a2, marking a deviation threshold value of a change rate V of the charge based on normal fluctuation during charging as w, and marking an SOCn change curve segment exceeding the change rate V by which the change rate V exceeds the range of the deviation threshold value compared with the former change rate V by the change rate V generated in the curve data;
c2a3, and labeled SOCn variogram segment analysis, there are the following results:
As a result, when the change rate V of the marked SOCn change curve segment is larger than the preamble change rate V of the compensation deviation threshold value, the charging efficiency is improved, and the temperature is not changed, and the abnormal current and voltage input or the abnormal rated charge of the storage battery is judged;
As a result, if the second rate of change V of the SOCn change curve segment is smaller than the preamble change rate V of the offset threshold, the charging efficiency is reduced, and the input current and voltage are not changed, and it is determined that there is an abnormality in the charging temperature.
In the embodiment of the invention, the calculation formula of the change rate V of the charge in c2a1 is as follows:
V=(SOCn-SOCn-1)±w,n≥2;
Wherein, SOCn is the storage battery charge value of the nth coordinate point, and SOC n-1 is the storage battery charge value before SOCn;
the calculation formula of SOCn is:
Wherein, SOC 0 is the initial charge state, in is the battery charging current at the nth time coordinate point, tn is the nth time coordinate point, and C is the total capacity of the battery;
and the judgment formula of the SOCn variation curve segment abnormality mark is as follows:
I.e., (SOC n-SOCn-1) > w, i.e., result one;
Namely (SOC n-SOCn-1) < -w, namely the result two.
In the embodiment of the present invention, the operation of a22 in combination with the temperature data of the storage battery during charging is:
c1b, according to the data feedback generated by the result II, acquiring and marking the temperature data of the storage battery as Jn, and sequencing according to a time sequence to obtain a change curve of the change rates V and Jn;
C2b, and dividing the change curves of V and Jn by inserting a normal function about the change rate V, wherein the function is y=v Flat plate , and V Flat plate is an average value of the normal increase rate of the charge quantity of the storage battery;
And C3b, when the curve above the V Flat plate is in the rising characteristic state, generating a command for cooling the temperature for cooling the storage battery or generating a regulating command for charging voltage.
After the prediction of the abnormal problem is obtained based on curve segment analysis, the abnormal problem is introduced into the temperature data of the storage battery according to the abnormal problem, the change trend of the temperature generated in the charging process is judged, and meanwhile, the node of which the temperature is changed is determined based on the rate of change of the charge storage value of the storage battery, so that a cooling instruction is generated to complete the management of the charging operation of the storage battery, the charging efficiency is improved under the condition that the storage battery is not subjected to capacity loss is ensured, and the self-adaptive control management operation is realized.
In the embodiment of the present invention, the charging switching operation in A3 is:
in the charging stage, when a marked SOCn variable curve segment is encountered and the result is one, a constant current charging strategy is controlled to generate an instruction for reducing the charging input current, and if the charging input current is still unchanged after the duration t, a power-off instruction for charging operation is generated;
and a32, in the charging stage, when encountering a marked SOCn change curve segment and being a result II, switching the charging strategy based on the constant current to the charging strategy of the variable voltage, and generating a command for reducing the temperature of the storage battery according to the C3b operation.
The second embodiment is different from the first embodiment in that the present invention further discloses a device adopting a battery pack charging management method, including:
the charging unit comprises charging equipment and is used for carrying out data adjustment operation during charging to complete the charging operation of the storage battery;
The monitoring unit comprises an electric energy meter, a timer, a thermometer and a control unit, wherein the electric energy meter is used for measuring the voltage and the current of charging, the electric energy storage capacity of the storage battery, and the timer and the thermometer are used for measuring the charging time and the temperature of the storage battery during charging;
the adjusting unit comprises cooling equipment for adjusting the temperature of the storage battery.
The charging equipment can complete regulation and control operation of charging input voltage and input current, the monitoring unit is an electric energy meter of the existing product, the sensor is used for realizing data acquisition and monitoring operation and transmitting the data to the display terminal for implementing change of observation data, and the cooling equipment can be one or a combination of a plurality of water cooling components or air cooling components.
Comparative experiments
Charging equipment adopting a traditional storage battery charging management method and charging equipment adopting the storage battery charging management method of the invention are used for carrying out charging operation on the storage batteries of the same model which are newly manufactured until the storage batteries are charged and cut off, recording data generated in the charging process, comparing the charging time, the charge stock of the storage batteries and the available capacity data of the storage batteries, wherein the specific data are shown in table 1:
Table 1 data alignment table
In summary, the charging device adopting the battery charging management method of the invention completes the operation of charging management of the battery, the required charging time is short, the battery can complete the operation of full charge, meanwhile, the adjustment of the charging process can avoid the loss of the available capacity of the battery, and the charging device adopting the battery charging management method can also perform the charging treatment operation on the battery.
And all that is not described in detail in this specification is well known to those skilled in the art.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
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.