CN109828215A - A kind of method and system promoting battery cell SOC estimation precision - Google Patents
A kind of method and system promoting battery cell SOC estimation precision Download PDFInfo
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Abstract
This application discloses a kind of method and systems for promoting battery cell SOC estimation precision, it is related to battery detecting technical field, it solves in the prior art, battery cell SOC estimation excessively relies on accurate noise information, error is difficult to correct, the technical problem of estimation precision difference.The method of the promotion battery cell SOC estimation precision of the application includes: to obtain the data parameters of power battery；The first SOC of power battery is obtained based on current integration method；The 2nd SOC of power battery is obtained according to SOC look-up table；The 3rd SOC of power battery is obtained according to third method；The 4th SOC for obtaining power battery is calculated according to the first SOC, the 2nd SOC and the 3rd SOC；Judge the first SOC, the 2nd SOC, the 3rd SOC relative to the 4th SOC dispersion whether in error range；In response in error range, the 4th SOC is the final estimated value of SOC.The application is mainly used for battery cell SOC estimation.
Description
Technical field
This application involves battery detecting technical fields, and in particular to a method of promote battery cell SOC estimation precision
And system.
Background technique
It is surplus that the SOC (State of Charge, the state-of-charge of battery) of electrokinetic cell system is usually utilized to measurement battery
The relative size of covolume amount prevents overcharging for battery from playing an important role with over-discharge for optimizing battery management strategy.Battery
SOC cannot be obtained directly by measurement, while the nonlinear characteristic of battery makes the estimation of battery SOC extremely difficult.For this purpose, smart
The estimation of true battery SOC is always the emphasis of various countries' research and discussion.
At present battery SOC estimation in through frequently with method mainly have current integration method, SOC look-up table, equivalent model
The SOC estimation algorithm of method and data-driven, various methods respectively have superiority and inferiority, do below to common technology introduced below:
Current integration method is that battery remaining power is calculated according to battery current and the integral of time, and by itself and battery
Nominal capacity is quotient, a kind of final method for obtaining battery SOC.This method is that a kind of most simple and most widely used SOC estimates
Meter method can obtain very high precision in the case where guaranteeing battery initial capacity and the accurate situation of battery nominal capacity.But the party
The shortcomings that method is obvious.The initial capacity of battery first is difficult accurately to obtain.Due to the open loop characteristic of this method, so that
The evaluated error of SOC is easily caused to increase in the case where battery initial capacity is inaccurate.Secondly, this method to battery current with
And the required precision in sampling time is very high, once there is measurement noise or by external interference in current sample element, it will influence electricity
The precision that pond SOC is calculated.Finally, the nominal capacity of battery will receive the influence of battery operating temperature and battery cycle life,
Therefore the nominal capacity of battery is not fixed and invariable.
Equivalent-circuit model evaluation method can substantially be divided into three classes: equivalent electrochemical model method, equivalent circuit method, equivalent
Impedance model method.In equivalent model method, battery is generally indicated as being state equation, and some nonlinear state estimations are calculated
Method, filtered method are used to the inside and outside parameter of estimation battery.Equivalent circuit method is more common in battery status estimation
A kind of method, have the characteristics that structure is simple, precision is high.But lack a kind of reason that the direct guide parameters of energy determine at present
By, enable the foundation of model independently of experiment carry out.
SOC look-up table can be divided into open-circuit voltage (SOC-OCV) method, impedance method (impedance-SOC) again.Wherein, open-circuit voltage
Method is the relation equation established between battery SOC and OCV (Open Circuit Voltage, open-circuit voltage), by calculating electricity
The SOC of the current OCV estimation battery in pond.This method is easy to operate, and precision is higher, but depositing due to cell voltage hesitation
, it is desirable to the OCV of battery accurately is obtained, needs battery standing for a long time (usual 8 hours or more), to lead to the party
Method applies in general to laboratory environment, is difficult to use in practice.Impedance-SOC method is to utilize battery resistance analyzer test battery
Impedance at different frequencies, while the relation equation between battery impedance and battery SOC is established, utilize current impedance computation
The SOC of battery.This method is similar with open circuit voltage method, and when test requires battery and is in off-line state and stands for a long time.
The state estimating method of data-driven, this method can accurately establish the measurable external electrical characteristic parameter of battery with
Relationship between battery SOC has very high estimation precision.Although the black box submodel of data-driven can be effectively solved mould
Type estimation in nonlinear problem and realize more high accuracy precision of prediction, but these algorithms to model parameter have it is higher
Sensitivity, and need a large amount of training sample to obtain the parameter in neural network, computation complexity is very high, is difficult
Practical application.This method is established on the basis of battery status space equation, using KF (Kalman filter, Kalman's filter
Wave) algorithm, EKF (Extended Kalman filter Extended Kalman filter) algorithm, adaptive EKF algorithm, UKF
(Unscented Kalman filter, lossless Kalman filtering) algorithm, PF (Particle filter, particle filter) are calculated
Method, UPF (UnscentedParticle Filter, lossless particle filter) algorithm, least-squares algorithm, invariant embedding and double
The SOC of the estimation battery such as algorithm filter.But this method is influenced by battery model expression precision, and computation complexity is big
Width improves.
In conclusion the battery status estimation method of four seed types cuts both ways, in order to accomplish respectively to take a variety of methods of the chief
United battery status estimation can be realized higher battery status accuracy of estimation.Under practical situations, same kind
Battery under the conditions of different working conditions and degree of aging, state parameter, capacity of battery etc. can also change, this
It brings challenges for battery SOC state estimation.
Summary of the invention
The purpose of the application is to propose a kind of method and system for promoting battery cell SOC estimation precision, for solving
In the prior art, battery cell SOC estimation excessively relies on accurate noise information, error is difficult to correct, estimate in estimation process
The technical issues of low precision.
According to a first aspect of the present application, it provides and is estimated according to the first of the application first aspect the promotion battery cell SOC
The method for calculating precision, comprising: obtain the data parameters of power battery；It is obtained using the data parameters of battery based on current integration method
First SOC of power battery；The 2nd SOC of power battery is obtained according to SOC look-up table using the data parameters of battery；Utilize electricity
The data parameters in pond obtain the 3rd SOC of power battery according to third method；It is counted according to the first SOC, the 2nd SOC and the 3rd SOC
Calculate the 4th SOC for obtaining power battery；Judge the first SOC, the 2nd SOC, the 3rd SOC relative to the 4th SOC dispersion whether
In error range；In response in error range, the 4th SOC is the final estimated value of SOC.
The method that first according to a first aspect of the present application promotes battery cell SOC estimation precision is provided according to this
The second method for promoting battery cell SOC estimation precision for applying for first aspect, in response to the first SOC, the 2nd SOC, the 3rd SOC
Dispersion relative to the 4th SOC is outside error range, the determining value with the 4th immediate SOC of SOC, and uses the SOC value
The data parameters of corresponding power battery recalculate the value of other SOC, until the dispersion of each SOC and the 4th SOC is in error
In range.
The method that first according to a first aspect of the present application promotes battery cell SOC estimation precision is provided according to this
Apply for the method that the third of first aspect promotes battery cell SOC estimation precision, the method for obtaining the data parameters of power battery
Are as follows: voltage, electric current and the temperature of acquisition power battery in real time；Based on the voltage, electric current and temperature acquired in real time, in the sampling interval
The on-line proving of the interior parameter for carrying out power battery, obtains the voltage, electric current and temperature of more accurate battery.
The method that first according to a first aspect of the present application promotes battery cell SOC estimation precision is provided according to this
The 4th method for promoting battery cell SOC estimation precision for applying for first aspect, obtains power battery based on current integration method
The formula of first SOC are as follows:
Wherein, SOC (t) indicates the SOC, C of the battery cell of t momentNIndicate that the nominal capacity of battery, η indicate battery library
Human relations efficiency, SOC (t0) indicate t0The battery cell SOC value at moment, IL(τ) indicates that the τ moment flows through the electric current of single battery.
The method that first according to a first aspect of the present application promotes battery cell SOC estimation precision is provided according to this
The 5th method for promoting battery cell SOC estimation precision for applying for first aspect, obtains the of power battery according to third method
The method of three SOC includes: the covariance of the original state amount and original state amount that obtain t moment；It is carried out according to original state amount
The quantity of state time updates, and carries out the update of quantity of state error of covariance time according to the covariance of original state amount；According to quantity of state
The value that the error of covariance time updates calculates Kalman filtering gain；It is updated according to Kalman filtering gain and quantity of state time
Value updates the quantity of state of t moment, the value more new state updated according to Kalman filtering gain and quantity of state error of covariance time
Measure error of covariance；Sampled point is updated, iteration obtains new quantity of state and covariance again, and obtained new quantity of state is third
SOC。
The method of the promotion battery cell SOC estimation precision of the application, on the one hand, overcome the deficiency of single method, benefit
With the advantage of various methods；On the one hand, it can adapt under different battery materials, different working conditions, different operating scene
Battery SOC status assessment；On the one hand, the power battery based on data can be established using the third method of covariance matching
The state value of SOC solves the problems, such as excessively to rely on accurate noise information in conventional method；On the other hand, according to difference
Quantitative analysis, it is determined that closest true SOC improves the estimation precision of battery SOC.
According to a second aspect of the present application, it provides and is estimated according to the first of the application second aspect the promotion battery cell SOC
The system for calculating precision, comprising:
Acquisition module, for obtaining the data parameters of power battery；
First SOC computing module obtains the of power battery based on current integration method for the data parameters using battery
One SOC；
2nd SOC computing module obtains the second of power battery according to SOC look-up table for the data parameters using battery
SOC；
3rd SOC computing module obtains the third of power battery for the data parameters using battery according to third method
SOC；
4th SOC computing module obtains the of power battery for calculating according to the first SOC, the 2nd SOC and the 3rd SOC
Four SOC；
Judgment module, for judging whether the first SOC, the 2nd SOC, the 3rd SOC are missing relative to the dispersion of the 4th SOC
In poor range；
First respond module, in response in error range, the 4th SOC is the final estimated value of SOC.
The system that first according to a second aspect of the present application promotes battery cell SOC estimation precision is provided according to this
Apply second aspect second promoted battery cell SOC estimation precision system, further include the second respond module, in response to
First SOC, the 2nd SOC, the 3rd SOC relative to the 4th SOC dispersion outside error range, determination it is closest with the 4th SOC
SOC value, and the value of other SOC is recalculated using the data parameters of the corresponding power battery of the SOC value, until each SOC
In error range with the dispersion of the 4th SOC.
The system that first according to a second aspect of the present application promotes battery cell SOC estimation precision is provided according to this
Apply for the system that the third of second aspect promotes battery cell SOC estimation precision, acquisition module further include: acquisition unit is used for
Voltage, electric current and the temperature of acquisition power battery in real time；Processing unit, for based on the voltage, electric current and temperature acquired in real time,
The on-line proving for carrying out the parameter of power battery within the sampling interval, obtains the voltage, electric current and temperature of more accurate battery.
The system that first according to a second aspect of the present application promotes battery cell SOC estimation precision is provided according to this
Apply for the 4th system for promoting battery cell SOC estimation precision of second aspect, the 3rd SOC computing module further include:
First unit, for obtaining the original state amount of t moment and the covariance of original state amount；
Second unit, for carrying out the update of quantity of state time according to original state amount, according to the covariance of original state amount
Carry out the update of quantity of state error of covariance time；
Third unit, the value for being updated according to the quantity of state error of covariance time calculate Kalman filtering gain；
Unit the 4th, for updating the quantity of state of t moment according to the value of Kalman filtering gain and the update of quantity of state time,
Quantity of state error of covariance is updated according to the value that Kalman filtering gain and quantity of state error of covariance time update；
Unit the 5th, for updating sampled point, iteration obtains new quantity of state and covariance again, obtained new state
Amount is the 3rd SOC.
The of the technical effect of the system of the promotion battery cell SOC estimation precision of the second aspect of the application and the application
The technical effect of the method for the promotion battery cell SOC estimation precision of one side is consistent, does not just repeat one by one herein.
According to the third aspect of the application, provides and estimated according to the first of the application third aspect the promotion battery cell SOC
The system for calculating precision, including battery cell and battery management system, battery management system execute according to a first aspect of the present application
Promotion battery cell SOC estimation precision method.
The of the technical effect of the system of the promotion battery cell SOC estimation precision of the third aspect of the application and the application
The technical effect of the method for the promotion battery cell SOC estimation precision of one side is consistent, does not just repeat one by one herein.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The some embodiments recorded in application can also be obtained according to these attached drawings other for those of ordinary skill in the art
Attached drawing.
Fig. 1 is the flow chart of the method for the promotion battery cell SOC estimation precision of the application；
Fig. 2 is the flow chart of the data parameters of the acquisition power battery of the application；
Fig. 3 is the circuit diagram of the equivalent-circuit model of the application；
Fig. 4 is the flow chart of the 3rd SOC that power battery is obtained according to third method of the application；
Fig. 5 is the block diagram of the system of the promotion battery cell SOC estimation precision of the application；
Fig. 6 is the block diagram of the acquisition module of the application；
Fig. 7 is the block diagram of the 3rd SOC computing module of the application；
Fig. 8 is the block diagram of the system of the another promotion battery cell SOC estimation precision of the application.
Specific embodiment
Below with reference to the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Ground description, it is clear that described embodiment is some embodiments of the present application, instead of all the embodiments.Based on the application
In embodiment, those skilled in the art's every other embodiment obtained without making creative work, all
Belong to the range of the application protection.
Embodiment one
Fig. 1 is the flow chart of the method for the promotion battery cell SOC estimation precision of the application, as shown in Figure 1, the application
Promoted battery cell SOC estimation precision method include:
Obtain the data parameters (110) of power battery；
Specifically, Fig. 2 is the flow chart of the data parameters of the acquisition power battery of the application, as shown in Fig. 2, obtaining power
The method of the data parameters of battery are as follows:
Voltage, electric current and the temperature (210) of acquisition power battery in real time；
Based on the voltage, electric current and temperature acquired in real time, carry out the online mark of the parameter of power battery within the sampling interval
It is fixed, obtain more accurate voltage, electric current and temperature (220).
The first SOC (120) of power battery is obtained based on current integration method using the data parameters of battery；
Battery cell state-of-charge is defined as the ratio of battery remaining power Yu battery nominal capacity, formula are as follows:
Wherein, SOC (t) indicates the SOC, C of the battery cell of t momentNIndicate that the nominal capacity of battery, η indicate battery library
Human relations efficiency, under normal conditions η=1, SOC (t0) indicate t0The battery cell SOC value at moment, i.e. t0The battery cell SOC at moment estimates
The initial value of calculation, IL(τ) indicates that the τ moment flows through the electric current of single battery.
Fig. 3 is the circuit diagram of the equivalent-circuit model of the application, can get U by equivalent-circuit modelOCValue；
UOC=Ut+UD+ILRoFormula (2)；
Wherein, UOCAnd ILIndicate open-circuit voltage and load current (just indicating discharge process, bearing indicates charging process).UtWith
R0Indicate end voltage and ohmic internal resistance, RDIndicate polarization resistance, CDIndicate polarization capacity, UDIt indicates to generate polarization capacity CDPolarization
Voltage.
The 2nd SOC (130) of power battery is obtained according to SOC look-up table using the data parameters of battery；
Specifically, according to the voltage U of power batteryOC, electric current IL, temperature and load using SOC look-up table obtain power electric
2nd SOC in pond；
The 3rd SOC (140) of power battery is obtained according to third method using the data parameters of battery；
The state space equation of third method are as follows:
Wherein, xt+1、xtIt indicates state variable, herein refers to the voltage estimate value of battery cell, i.e., collected power battery
Voltage value.T indicates the moment.CNIndicate the nominal capacity of battery, unit Ah.η is influence factor, is generally under charged state
1, less than 1 under discharge condition.Ts indicates the sampling time.UOC、IL、RD、CDThe open-circuit voltage of indication circuit model, load current, pole
Change resistance, polarization capacity.
The coefficient matrix that third method uses are as follows:
D=RDFormula (8)；
Specifically, Fig. 4 is the flow chart of the 3rd SOC that power battery is obtained according to third method of the application, such as Fig. 4 institute
Show, includes: according to the method that third method obtains the 3rd SOC of power battery
Obtain the original state amount of t moment and the covariance (410) of original state amount；
The original state amount of t momentAre as follows:
Wherein, SOCT, 0The initial value estimated for the SOC of t moment battery cell.
The covariance of original state amountAre as follows:
The update of quantity of state time is carried out according to original state amount, quantity of state association side is carried out according to the covariance of original state amount
Poor error time updates (420)；
The quantity of state time updatesCalculation formula are as follows:
Wherein,It is obtained by formula (9), UtFor the value of collected end voltage.
The quantity of state error of covariance time updatesCalculation formula are as follows:
Wherein,For the update of quantity of state error of covariance time, PvFor the covariance matrix of noise variance, I is unit
Matrix, μ are covariance Dynamic gene.For the median of calculating.
Kalman filtering gain (430) are calculated according to the value that the quantity of state error of covariance time updates；
The calculation formula of Kalman filtering gain are as follows:
Wherein, PwIndicate the covariance matrix of measurement system noise w.
The quantity of state that t moment is updated according to the value that Kalman filtering gain and quantity of state time update, is filtered according to Kalman
The value that wave gain and quantity of state error of covariance time update updates quantity of state error of covariance (440)；
Updated quantity of stateCalculation formula are as follows:
Wherein, ytIt indicates voltage degree of precision estimated value, U can be equal tot, d is linear constant compensation factor.
Updated errorCalculation formula are as follows:
Sampled point is updated, iteration obtains new quantity of state and covariance again, and obtained new quantity of state is the 3rd SOC
(450)。
Specifically, sampled point is updated, using obtained quantity of state and covariance as original state amount and original state amount
Covariance, 420~step 450 of iterative step, obtains the covariance of new quantity of state and quantity of state again.
The 4th SOC (150) for obtaining power battery is calculated according to the first SOC, the 2nd SOC and the 3rd SOC；
It should be noted that determining the weight of distinct methods according to the degree of aging of battery, the degree of aging of battery is by electricity
Depending on the material in pond, working condition, operative scenario；Wherein, the corresponding weight of current integration method is W1, SOC look-up table is corresponding
Weight is W2, the corresponding weight of third method is W3, it is weighted and averaged the 4th SOC for acquiring this method, calculation formula is
Judge the first SOC, the 2nd SOC, the 3rd SOC relative to the 4th SOC dispersion whether in error range
(160)；
Specifically, Rule of judgment are as follows:
In response in error range, the 4th SOC is the final estimated value (170) of SOC.Illustratively, the value of ∈ is 2%
~8% arbitrary value.When the value of ∈ is 2%~3%, the accuracy of SOC estimation is higher.
It should be pointed out that in response to the first SOC, the 2nd SOC, the 3rd SOC relative to the 4th SOC dispersion in error
Outside range, the determining value with the 4th immediate SOC of SOC, and again using the data parameters of the corresponding power battery of the SOC value
The value of other SOC is calculated, until the dispersion of each SOC and the 4th SOC is in error range.
It should be noted that when the initial value that the first SOC or the 3rd SOC are estimated as SOC, according to the power got
The data parameters of battery re-scale the data of SOC look-up table, with the 2nd SOC of acquisition.In calculating process, current integration method
Initial SOC (t0) it is discreet value, after starting iterative calculation, SOC (t0) value be the 4th SOC value；In third method, initially
SOCT, 0For discreet value, after starting iterative calculation, SOCT, 0Value be the 4th SOC value.
The method of the promotion battery cell SOC estimation precision of the application, on the one hand, overcome the deficiency of single method, benefit
With the advantage of various methods；On the one hand, it can adapt under different battery materials, different working conditions, different operating scene
Battery SOC status assessment；On the one hand, the power battery based on data can be established using the third method of covariance matching
The state value of SOC solves the problems, such as excessively to rely on accurate noise information in conventional method；On the other hand, according to difference
Quantitative analysis, it is determined that closest true SOC improves the estimation precision of battery SOC.
Embodiment two
Fig. 5 is the block diagram of the system of the promotion battery cell SOC estimation precision of the application, executes embodiments herein one
The method.As shown in figure 5, the system of the promotion battery cell SOC estimation precision of the application includes:
Acquisition module 51, for obtaining the data parameters of power battery；
First SOC computing module 52 obtains power battery based on current integration method for the data parameters using battery
First SOC；
2nd SOC computing module 53 obtains the of power battery according to SOC look-up table for the data parameters using battery
Two SOC；
3rd SOC computing module 54 obtains the of power battery according to third method for the data parameters using battery
Three SOC；
4th SOC computing module 55 obtains power battery for calculating according to the first SOC, the 2nd SOC and the 3rd SOC
4th SOC；
Judgment module 56, for judge the first SOC, the 2nd SOC, the 3rd SOC relative to the 4th SOC dispersion whether
In error range；
First respond module 57, in response in error range, the 4th SOC is the final estimated value of SOC.
Specifically, which further includes the second respond module 58, in response to the first SOC, the 2nd SOC, the 3rd SOC phase
The value with the 4th immediate SOC of SOC is determined outside error range for the dispersion of the 4th SOC, and uses the SOC value pair
The data parameters for the power battery answered recalculate the value of other SOC, until the dispersion of each SOC and the 4th SOC is in error model
In enclosing.
More specifically, Fig. 6 is the block diagram of the acquisition module of the application, as shown in fig. 6, acquisition module 51 further include:
Acquisition unit 511, for acquiring the voltage, electric current and temperature of power battery in real time；
Processing unit 512, for carrying out power electric within the sampling interval based on the voltage, electric current and temperature acquired in real time
The on-line proving of the parameter in pond obtains the voltage, electric current and temperature of more accurate battery.
More specifically, Fig. 7 is the block diagram of the 3rd SOC computing module of the application, as shown in fig. 7, the 3rd SOC computing module
54 further include:
First unit 541, for obtaining the original state amount of t moment and the covariance of original state amount；
Second unit 542, for carrying out the update of quantity of state time according to original state amount, according to the association side of original state amount
Difference carries out the update of quantity of state error of covariance time；
Third unit 543, the value for being updated according to the quantity of state error of covariance time calculate Kalman filtering gain；
4th unit 544, for updating the state of t moment according to the value of Kalman filtering gain and the update of quantity of state time
Amount updates quantity of state error of covariance according to the value that Kalman filtering gain and quantity of state error of covariance time update；
5th unit 545, for updating sampled point, iteration obtains new quantity of state and covariance again, and what is obtained is new
Quantity of state is the 3rd SOC.
The technical effect of the system of the promotion battery cell SOC estimation precision of the application and the promotion battery cell of the application
The technical effect of the method for SOC estimation precision is consistent, does not just repeat one by one herein.
Embodiment three
Fig. 8 is the block diagram of the system of the another promotion battery cell SOC estimation precision of the application.As shown in figure 8, the application
The system of promotion battery cell SOC estimation precision include battery cell 81 and battery management system 82, battery management system 82
Execute method described in embodiments herein one.
The technical effect of the system of the promotion battery cell SOC estimation precision of the application and the promotion battery cell of the application
The technical effect of the method for SOC estimation precision is consistent, does not just repeat one by one herein.
Although the preferred embodiment of the application has been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the application range.Obviously, those skilled in the art can be to the application
Various modification and variations are carried out without departing from spirit and scope.If in this way, these modifications and variations of the application
Belong within the scope of the claim of this application and its equivalent technologies, then the application is also intended to encompass these modification and variations and exists
It is interior.
Claims (10)
1. a kind of method for promoting battery cell SOC estimation precision characterized by comprising
Obtain the data parameters of power battery；
The first SOC of power battery is obtained based on current integration method using the data parameters of battery；
The 2nd SOC of power battery is obtained according to SOC look-up table using the data parameters of battery；
The 3rd SOC of power battery is obtained according to third method using the data parameters of battery；
The 4th SOC for obtaining power battery is calculated according to the first SOC, the 2nd SOC and the 3rd SOC；
Judge the first SOC, the 2nd SOC, the 3rd SOC relative to the 4th SOC dispersion whether in error range；
In response in error range, the 4th SOC is the final estimated value of SOC.
2. the method as described in claim 1, which is characterized in that in response to the first SOC, the 2nd SOC, the 3rd SOC relative to
The dispersion of four SOC is outside error range, the determining value with the 4th immediate SOC of SOC, and corresponding dynamic using the SOC value
The data parameters of power battery recalculate the value of other SOC, until the dispersion of each SOC and the 4th SOC is in error range.
3. the method as described in claim 1, which is characterized in that the method for obtaining the data parameters of power battery are as follows:
Voltage, electric current and the temperature of acquisition power battery in real time；
Based on the voltage, electric current and temperature acquired in real time, carries out the on-line proving of the parameter of power battery within the sampling interval, obtain
Obtain voltage, electric current and the temperature of more accurate battery.
4. the method as described in claim 1, which is characterized in that obtain the first SOC's of power battery based on current integration method
Formula are as follows:
Wherein, OSC (t) indicates the SOC, C of the battery cell of t momentNIndicate that the nominal capacity of battery, η indicate battery coulomb effect
Rate, SOC (t0) indicate t0The battery cell SOC value at moment, IL(τ) indicates that the τ moment flows through the electric current of single battery.
5. the method as described in claim 1, which is characterized in that obtain the side of the 3rd SOC of power battery according to third method
Method includes:
Obtain the original state amount of t moment and the covariance of original state amount；
The update of quantity of state time is carried out according to original state amount, quantity of state covariance mistake is carried out according to the covariance of original state amount
The poor time updates；
Kalman filtering gain is calculated according to the value that the quantity of state error of covariance time updates；
The quantity of state that t moment is updated according to the value that Kalman filtering gain and quantity of state time update, increases according to Kalman filtering
The value that benefit and quantity of state error of covariance time update updates quantity of state error of covariance；
Sampled point is updated, iteration obtains new quantity of state and covariance again, and obtained new quantity of state is the 3rd SOC.
6. a kind of system for promoting battery cell SOC estimation precision characterized by comprising
Acquisition module, for obtaining the data parameters of power battery；
First SOC computing module obtains the first of power battery based on current integration method for the data parameters using battery
SOC；
2nd SOC computing module obtains the 2nd SOC of power battery for the data parameters using battery according to SOC look-up table；
3rd SOC computing module obtains the 3rd SOC of power battery for the data parameters using battery according to third method；
4th SOC computing module obtains the 4th of power battery for calculating according to the first SOC, the 2nd SOC and the 3rd SOC
SOC；
Judgment module, for judge the first SOC, the 2nd SOC, the 3rd SOC relative to the 4th SOC dispersion whether in error model
In enclosing；
First respond module, in response in error range, the 4th SOC is the final estimated value of SOC.
7. system as claimed in claim 6, which is characterized in that further include the second respond module, in response to the first SOC,
2nd SOC, the 3rd SOC relative to the 4th SOC dispersion outside error range, it is determining with the 4th immediate SOC's of SOC
It is worth, and recalculates the value of other SOC using the data parameters of the corresponding power battery of the SOC value, until each SOC and the 4th
The dispersion of SOC is in error range.
8. system as claimed in claim 6, which is characterized in that acquisition module further include:
Acquisition unit, for acquiring the voltage, electric current and temperature of power battery in real time；
Processing unit, for carrying out the parameter of power battery within the sampling interval based on the voltage, electric current and temperature acquired in real time
On-line proving, obtain the voltage, electric current and temperature of more accurate battery.
9. system as claimed in claim 6, which is characterized in that the 3rd SOC computing module further include:
First unit, for obtaining the original state amount of t moment and the covariance of original state amount；
Second unit is carried out for carrying out the update of quantity of state time according to original state amount according to the covariance of original state amount
The quantity of state error of covariance time updates；
Third unit, the value for being updated according to the quantity of state error of covariance time calculate Kalman filtering gain；
Unit the 4th, for updating the quantity of state of t moment according to the value of Kalman filtering gain and the update of quantity of state time, according to
The value that Kalman filtering gain and quantity of state error of covariance time update updates quantity of state error of covariance；
Unit the 5th, for updating sampled point, iteration obtains new quantity of state and covariance again, and obtained new quantity of state is
3rd SOC.
10. a kind of system for promoting battery cell SOC estimation precision, which is characterized in that including battery cell and battery management system
It unites, method described in battery management system execution according to claim 1~one of 5.
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