CN105607005B - Energy-storage battery health status key parameter extracting method - Google Patents
Energy-storage battery health status key parameter extracting method Download PDFInfo
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- CN105607005B CN105607005B CN201510584015.1A CN201510584015A CN105607005B CN 105607005 B CN105607005 B CN 105607005B CN 201510584015 A CN201510584015 A CN 201510584015A CN 105607005 B CN105607005 B CN 105607005B
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- 238000004146 energy storage Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000003862 health status Effects 0.000 title claims abstract description 15
- 241001269238 Data Species 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 abstract description 4
- 230000008859 change Effects 0.000 abstract description 3
- 238000012850 discrimination method Methods 0.000 abstract description 3
- 239000005955 Ferric phosphate Substances 0.000 abstract description 2
- 230000032683 aging Effects 0.000 abstract description 2
- 229940032958 ferric phosphate Drugs 0.000 abstract description 2
- WBJZTOZJJYAKHQ-UHFFFAOYSA-K iron(3+) phosphate Chemical compound [Fe+3].[O-]P([O-])([O-])=O WBJZTOZJJYAKHQ-UHFFFAOYSA-K 0.000 abstract description 2
- 229910000399 iron(III) phosphate Inorganic materials 0.000 abstract description 2
- 229910052744 lithium Inorganic materials 0.000 abstract description 2
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 abstract description 2
- 230000007246 mechanism Effects 0.000 abstract description 2
- 230000008569 process Effects 0.000 abstract description 2
- 238000011156 evaluation Methods 0.000 abstract 1
- 238000000605 extraction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
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Abstract
Energy-storage battery health status key parameter extracting method, is related to energy-storage battery parameter identification field.It is slow-footed to solve the problems, such as that existing battery model parameter identification method calculating complexity causes to recognize.The present invention is stretched and is translated to cathode data, finally pick out internal resistance, the initial state-of-charge SOC of cathode by the Origin And Destination of default positive electrode potential0,n, cathode terminate state-of-charge SOCend,n, battery total capacity CallWith negative electrode total capacity Cn5 parameters, the present invention is suitable for cycle charging process of the lithium iron phosphate dynamic battery under different working conditions, and there is higher precision under low range charge condition, the variation of parameter under different working conditions can be gone out with accurate recognition, speed is faster than traditional discrimination method, ferric phosphate lithium cell Analysis on ageing mechanism be can be applied to modeling, health status evaluation, power echelon using fields such as battery status analyses, to predict the lifetime change situation of battery.
Description
Technical field
The present invention relates to energy-storage battery parameter identification fields.
Background technology
Battery model is that vehicle electric system emulates, is essential during battery characteristics extraction and state estimation
Link, for different models, the complexity of parameter identification method, accuracy are to the state estimation of whole system to closing weight
It wants.Existing discrimination method such as genetic algorithm, processing speed is very slow, and algorithm comparison is complicated, and very quick for the setting of initial value
Sense.
Invention content
The present invention causes to recognize slow-footed to solve the problems, such as that existing battery model parameter identification method calculates complexity, carries
A kind of energy-storage battery health status key parameter extracting method is gone out.
Energy-storage battery health status key parameter extracting method includes the following steps：
Step 1: by original positive open circuit potential data and cathode open circuit potential data used in each section energy-storage battery
It is set to two different 101*1 matrix datas；
Step 2: convert set in step 1 two 101*1 matrix datas to the data point about the time, and according to
Different operating modes obtain cathode voltage interpolation curve by interpolation arithmetic；
Step 3: according to the charging time of the original cathode voltage curve of energy-storage battery, cathode voltage curve, energy-storage battery
Length and the terminal voltage data of energy-storage battery redefine the starting point voltage value U of cathode voltage interpolation curve0,pAnd terminating point
Voltage value Uend,p, and then the starting point and ending point of cathode voltage curve is obtained, p indicates anode；
Step 4: cathode voltage and the relationship between the time are obtained according to the original cathode voltage curve of energy-storage battery, it is right
Cathode interpolation points N2 carries out cycle value, each cathode interpolation points N2 corresponds to a best state-of-charge starting point N3 respectively
And best internal resistance value N4；
Step 5: being taken according to cathode interpolation parameter N2, best state-of-charge starting point N3 and the best internal resistance in step 4
Value N4 obtains the battery terminal voltage U at each time pointT(i), and by battery terminal voltage UT(i) with actual terminal voltage data U
(i) it makes the difference and seeks its error amount and store；
Step 6: in the error amount obtained in step 5 find error smallest point, and determine its corresponding N2, N3 and
The value of N4；
Step 7: the value of N2, N3 and the N4 obtained according to step 6 obtains cathode interpolation curve；
Step 8: obtaining the corresponding start time of cathode state-of-charge starting point and terminating point according to cathode interpolation curve
Corresponding end time, and calculate internal resistance value；
Step 9: obtaining the total charging time length of cathode by cathode interpolation points N2 and best state-of-charge starting point N3
Lt,n, the initial state-of-charge SOC of cathode0,n, cathode terminate state-of-charge SOCend,n, battery total capacity CallWith negative electrode total capacity Cn,
T indicates that time, n indicate cathode.
Advantageous effect：The present invention is stretched and is translated to cathode data by the Origin And Destination of default positive electrode potential,
Finally pick out internal resistance, the initial state-of-charge SOC of cathode0,n, cathode terminate state-of-charge SOCend,n, battery total capacity CallWith it is negative
Pole total capacity Cn5 parameters, the present invention are suitable for cycle charging process of the lithium iron phosphate dynamic battery under different working conditions,
And have higher precision under low range charge condition, the variation of parameter under different working conditions, speed can be gone out with accurate recognition
Faster than traditional discrimination method, ferric phosphate lithium cell Analysis on ageing mechanism is can be applied to evaluate with modeling, health status, is dynamic
Power echelon is using fields such as battery status analyses, to predict the lifetime change situation of battery.
Description of the drawings
Fig. 1 is the original positive and negative anodes voltage curve described in specific implementation mode one；
Fig. 2 is the cathode voltage interpolation curve figure described in specific implementation mode one；
Fig. 3 is the charge data curve graph of any one batteries；
After Fig. 4 is the starting point and ending point for redefining cathode voltage interpolation curve described in specific implementation mode one
Cathode voltage curve graph；
Fig. 5 is the equivalent-circuit model in parameter extraction process in specific implementation mode one；
Fig. 6 is cathode interpolation curve figure；
Fig. 7 is the battery terminal voltage data being fitted and the terminal voltage data comparison figure really measured.
Specific implementation mode
Specific implementation mode one illustrates present embodiment in conjunction with Fig. 1 to Fig. 6, the storage described in present embodiment
Energy cell health state key parameter extracting method includes the following steps：
Step 1: by original positive open circuit potential data and cathode open circuit potential data used in each section energy-storage battery
It is set to two different 101*1 matrix datas；
Step 2: convert set in step 1 two 101*1 matrix datas to the data point about the time, and according to
Different operating modes obtain cathode voltage interpolation curve by interpolation arithmetic；
Step 3: according to the charging time of the original cathode voltage curve of energy-storage battery, cathode voltage curve, energy-storage battery
Length and the terminal voltage data of energy-storage battery redefine the starting point voltage value U of cathode voltage interpolation curve0,pAnd terminating point
Voltage value Uend,p, and then the starting point and ending point of cathode voltage curve is obtained, p indicates anode；
Step 4: cathode voltage and the relationship between the time are obtained according to the original cathode voltage curve of energy-storage battery, it is right
Cathode interpolation points N2 carries out cycle value, each cathode interpolation points N2 corresponds to a best state-of-charge starting point N3 respectively
And best internal resistance value N4；
Step 5: being taken according to cathode interpolation parameter N2, best state-of-charge starting point N3 and the best internal resistance in step 4
Value N4 obtains the battery terminal voltage U at each time pointT(i), and by battery terminal voltage UT(i) with actual terminal voltage data U
(i) it makes the difference and seeks its error amount and store；
Step 6: in the error amount obtained in step 5 find error smallest point, and determine its corresponding N2, N3 and
The value of N4；
Step 7: the value of N2, N3 and the N4 obtained according to step 6 obtains cathode interpolation curve；
Step 8: obtaining the corresponding start time of cathode state-of-charge starting point and terminating point according to cathode interpolation curve
Corresponding end time, and calculate internal resistance value；
Step 9: obtaining the total charging time length of cathode by cathode interpolation points N2 and best state-of-charge starting point N3
Lt,n, the initial state-of-charge SOC of cathode0,n, cathode terminate state-of-charge SOCend,n, battery total capacity CallWith negative electrode total capacity Cn,
T indicates that time, n indicate cathode.
In present embodiment, by presetting the Origin And Destination of positive electrode potential, cathode data is stretched and translated, most
After pick out internal resistance, the initial state-of-charge SOC of cathode0,n, cathode terminate state-of-charge SOCend,n, battery total capacity CallAnd cathode
Total capacity Cn5 parameters.
Positive open circuit potential data and cathode open circuit potential data are converted to the data point about the time, then according to not
Interpolation is carried out to obtain the situation of change of parameter to be analyzed with situation, after the magnitude range for determining positive interpolation, is drawn slotting
Figure after value, as shown in Figure 2.
In present embodiment, the initial state-of-charge point of cathode can be converted into the charge and discharge initial point about the time, institute
With, can first cathode voltage be calculated and be drawn about the curve of time, finally be then converted to state-of-charge point, cathode
Interpolation recycles value in the range of counting on one point, and the value range that the value range of N3 is about 3000~8000, N4 is about
0.001~0.01.
By taking certain batteries data identification as an example, the result such as following table come is picked out：
Table 1
Energy-storage battery health status described in specific implementation mode two, present embodiment and specific implementation mode one is closed
Bond parameter extracting method difference lies in, described in step 2 by interpolation arithmetic obtain cathode voltage interpolation curve in, just
Pole data interpolating gap size is by n1It determines,Wherein N1 always counts for data, and N1/Tcha=cellQ,p/
cellQ,all, wherein TchaIndicate the charging work time；cellQ,pIndicate anode capacity；cellQ,allIndicate battery calibration
Capacity.
Energy-storage battery health status described in specific implementation mode three, present embodiment and specific implementation mode one is closed
Difference lies in the terminating point voltage value U of the cathode voltage curve described in step 3 for bond parameter extracting methodend,pPass through negative electricity
The minimum value U for line voltage of bucklingmin,nAnd the maximum value U of charging end voltage data voltagemax,chaIt determines, the relationship between them
For Uend,p=Umax,cha+Umin,n, the corresponding terminating point for finding cathode voltage curve, the starting point voltage value of cathode voltage curve
U0,pIt is determined by charging end voltage data time span.
Energy-storage battery health status described in specific implementation mode four, present embodiment and specific implementation mode one is closed
Difference lies in the battery terminal voltage U at each time point of acquisition described in step 5 for bond parameter extracting methodT(i) table
It is up to formula：UT(i)=Up(i)-Un(i)+IL(i)·N4, wherein Up(i) cathode voltage, U are indicatedn(i) cathode voltage, I are indicatedL
(i) indicate that charging current, L indicate time span.
Energy-storage battery health status described in specific implementation mode five, present embodiment and specific implementation mode one is closed
Difference lies in pass through cathode interpolation points N2 and best state-of-charge starting point N3 to bond parameter extracting method described in step 9
Obtain the total charging time length L of cathodet,n, the initial state-of-charge SOC of cathode0,n, cathode terminate state-of-charge SOCend,n, battery
Total capacity CallWith negative electrode total capacity CnProcess be：
The total charging time length of cathode is directly determined by cathode interpolation points N2 and best state-of-charge starting point N3
Lt,n；
Pass through the total charging time length L of cathodet,nThe initial state-of-charge of cathode is obtained with best state-of-charge starting point N3
SOC0,n：SOC0,n=N3/Lt,n；
Pass through the total charging time length L of energy-storage batteryt, best state-of-charge starting point N3 and cathode it is total charging time it is long
Spend Lt,nIt obtains cathode and terminates state-of-charge SOCend,n：SOCend,n=(N3+Lt)/Lt,n；
Battery total capacity Call=IL·Lt；
Negative electrode total capacity Cn=IL·Lt,n。
Claims (4)
1. energy-storage battery health status key parameter extracting method, which is characterized in that it includes the following steps：
Step 1: the original positive open circuit potential data used in each section energy-storage battery are distinguished with cathode open circuit potential data
It is set as two different 101*1 matrix datas；
Step 2: convert set in step 1 two 101*1 matrix datas to the data point about the time, and according to difference
Operating mode obtains cathode voltage interpolation curve by interpolation arithmetic；
Step 3: according to the charging time length of the original cathode voltage curve of energy-storage battery, cathode voltage curve, energy-storage battery
And the terminal voltage data of energy-storage battery redefine the starting point voltage value U of cathode voltage interpolation curve0,pWith terminating point voltage
Value Uend,p, and then the starting point and ending point of the cathode voltage interpolation curve redefined is obtained, p indicates anode；The weight
The newly terminating point voltage value U of determining cathode voltage interpolation curveend,pPass through the minimum value U of cathode voltage curve voltagemin,nWith
And the maximum value U of charging end voltage data voltagemax,chaIt determines, the relationship between them is Uend,p=Umax,cha+Umin,n, corresponding
The terminating point for finding the cathode voltage interpolation curve redefined, the starting point voltage of the cathode voltage interpolation curve redefined
Value U0,pIt is determined by charging end voltage data time span；
Step 4: cathode voltage and the relationship between the time are obtained according to the original cathode voltage curve of energy-storage battery, to cathode
Interpolation points N2 carry out cycle value, each cathode interpolation count N2 respectively correspond to a best state-of-charge starting point N3 and
Best internal resistance value N4；
Step 5: according in step 4 cathode interpolation parameter N2, best state-of-charge starting point N3 and best internal resistance value N4
Obtain the battery terminal voltage U at each time pointT(i), and by battery terminal voltage UT(i) with actual terminal voltage data U (i)
It makes the difference and seeks its error amount and store；
Step 6: finding error smallest point in the error amount obtained in step 5, and determine its corresponding N2, N3 and N4
Value；
Step 7: the value of N2, N3 and the N4 obtained according to step 6 obtains cathode interpolation curve；
Step 8: obtaining the corresponding start time of cathode state-of-charge starting point and terminating point correspondence according to cathode interpolation curve
End time, and calculate internal resistance value；
Step 9: obtaining the total charging time length L of cathode by cathode interpolation points N2 and best state-of-charge starting point N3t,n、
The initial state-of-charge SOC of cathode0,n, cathode terminate state-of-charge SOCend,n, battery total capacity CallWith negative electrode total capacity Cn, t tables
Show that time, n indicate cathode.
2. energy-storage battery health status key parameter extracting method according to claim 1, which is characterized in that in step 2
It is described cathode voltage interpolation curve is obtained by interpolation arithmetic during, positive data interpolating gap size is by n1It determines,Wherein N1 always counts for data, and N1/Tcha=cellQ,p/cellQ,all, wherein TchaIndicate the charging time；
cellQ,pIndicate anode capacity；cellQ,allIndicate battery marked capacity.
3. energy-storage battery health status key parameter extracting method according to claim 1, which is characterized in that in step 5
The battery terminal voltage U at each time point of acquisitionT(i) expression formula is：UT(i)=Up(i)-Un(i)+IL(i)·N4,
Wherein, Up(i) cathode voltage, U are indicatedn(i) cathode voltage, I are indicatedL(i) indicate that charging current, L indicate time span.
4. energy-storage battery health status key parameter extracting method according to claim 1, which is characterized in that in step 9
Described obtains the total charging time length L of cathode by cathode interpolation points N2 and best state-of-charge starting point N3t,n, cathode
Initial state-of-charge SOC0,n, cathode terminate state-of-charge SOCend,n, battery total capacity CallWith negative electrode total capacity CnProcess be：
The total charging time length L of cathode is directly determined by cathode interpolation points N2 and best state-of-charge starting point N3t,n；
Pass through the total charging time length L of cathodet,nThe initial state-of-charge SOC of cathode is obtained with best state-of-charge starting point N30,n：
SOC0,n=N3/Lt,n；
Pass through the total charging time length L of energy-storage batteryt, best state-of-charge starting point N3 and the total charging time length L of cathodet,n
It obtains cathode and terminates state-of-charge SOCend,n：SOCend,n=(N3+Lt)/Lt,n；
Battery total capacity Call=IL·Lt；
Negative electrode total capacity Cn=IL·Lt,n；
ILIndicate charging current.
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