CN107450031A - A kind of reconstructing method of electrokinetic cell system OCV SOC functional relations - Google Patents
A kind of reconstructing method of electrokinetic cell system OCV SOC functional relations Download PDFInfo
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- CN107450031A CN107450031A CN201710666317.2A CN201710666317A CN107450031A CN 107450031 A CN107450031 A CN 107450031A CN 201710666317 A CN201710666317 A CN 201710666317A CN 107450031 A CN107450031 A CN 107450031A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
Abstract
The invention provides a kind of reconstructing method of electrokinetic cell system OCV SOC functional relations, OCV SOC functional relations can be quickly and efficiently obtained.Relative to traditional open voltage test method, the present invention can not only save substantial amounts of test period, and suitable for the various types of electrokinetic cell including ferric phosphate lithium ion battery, with more preferable versatility, the correcting action of OCV SOC functional relations can more effectively be ensured simultaneously, improve the robustness of state estimation algorithm.
Description
Technical field
The present invention relates to electrokinetic cell system administrative skill field, especially electrokinetic cell system open-circuit voltage and charged shape
The technologies such as acquisition, fuel cell modelling and the battery status estimation of state function relation.
Background technology
At present, based on the state estimation algorithm of model frequently with open-circuit voltage (OCV)-state-of-charge (SOC) functional relation
To correct the SOC of battery, although OCV-SOC functional relations can be obtained by open voltage test mostly, because open-circuit voltage tries
The quiescent time tested is difficult to control, and long quiescent time easily causes the test period long, and too short quiescent time can then make
It is insufficient to obtain battery standing, so as to cause the OCV-SOC functional relation errors of acquisition larger.What is more important, to ferric phosphate
For the electrokinetic cells such as lithium ion battery, there is longer voltage in the OCV-SOC functional relations obtained by open voltage test
Platform, during using OCV-SOC functional relation amendment SOC values, the increase of state estimation algorithm error can be caused or even dissipated.Therefore,
Still need and want a kind of various types of electrokinetic cell system being applied to including ferric phosphate lithium ion battery, have more
Good versatility, and the method that can fast and effectively obtain OCV-SOC functional relations.
The content of the invention
For technical problem present in above-mentioned this area, the invention provides a kind of electrokinetic cell system OCV-SOC letters
The reconstructing method of number relation, specifically includes following steps：
Step 1. performs related preparation, the SOC sections reconstructed according to needed for being actually needed and select, gathers discharge and recharge
The voltage and current data of electrokinetic cell system in journey.
During the SOC sections of above-mentioned selected required reconstruct, for pure electric automobile, power battery of pure electric automobile is selected
The 20%-100%SOC sections usually to work, for hybrid vehicle, then need what is worked according to its electrokinetic cell
Optimal SOC scopes are selected.
Step 2. establishes electrokinetic cell system model, it is determined that in the model established OCV-SOC functional relations expression formula with
And impedance parameter-SOC functional relation expression formulas, according to the voltage of the electrokinetic cell system obtained in the step 1,
The electric current and the reference SOC data, are joined using optimized algorithm to the OCV-SOC functional relations and the impedance
The fitting of number-SOC functional relations, obtain the optimal coefficient of each functional relation, the OCV-SOC functional relations reconstructed；
The OCV-SOC functional relations of reconstruct are applied in the state estimation algorithm based on model by step 3., according to described
The voltage and current data obtained in step 1, the reference OCV-SOC relation curves of electrokinetic cell system are calculated, to the reconstruct
The reasonability of OCV-SOC functional relations verified.
Further, the electrokinetic cell system model of establishing in the step 2 specifically includes：Choose N number of existing
Electrokinetic cell system model, it is numbered according to the complexity of selected model, the sequence number of model selected by n expressions, n=1,
2nd ..., N, simpler model should distribute smaller model sequence number；The electrokinetic cell system model of the foundation at least has
Including ohmic internal resistance R0, polarization resistance RpAnd polarization capacity CPJ impedance parameter.The present invention gives several existing common
Battery model but be not limited to this several model, as shown in fig. 7, wherein UocFor battery OCV, Up1、Up2For battery polarization voltage,
UCPE1For CPE1 both end voltages, UtFor for battery terminal voltage, R0For battery ohmic internal resistance, Rp1、Rp2For battery polarization internal resistance, Cp1、
Cp2For battery polarization electric capacity, CPE1 is normal phase element.
Further, OCV-SOC functional relation expression formulas are specific in the model that the determination in the step 2 is established
Including：M existing OCV-SOC functional relations expression formulas are chosen, according to answering for selected OCV-SOC functional relation expression formulas
Miscellaneous degree is numbered, m represent selected by expression formula sequence number, m=1,2 ..., M, simpler expression formula should distribute smaller
Sequence number.The present invention gives the citation form of several frequently seen OCV-SOC functional relation expression formulas but this several form is not limited to,
As shown in table 1.
The citation form of the several frequently seen OCV-SOC functional relation expression formulas of table 1
Wherein, a0,a1,a2,…,ai-1,aiFor parameter to be identified, i represents nonnegative integer, and it is typically less than or equal to 12.
Further, the determination impedance parameter-SOC functional relation expression formulas in the step 2 specifically include：For
The J impedance parameter for the electrokinetic cell system model established, choose respectively K1, K2 ..., the existing impedances ginsengs of KJ
The citation form of number-SOC functional relation expression formulas, at the same using k1, k2 ..., kJ represent the 1st respectively, 2 ..., J impedance join
The sequence number of number-SOC functional relation expression formulas, and the span of sequence number be k1=1,2 ..., K1 ..., kJ=1,2 ...,
KJ；It is numbered according to the complexity of selected impedance parameter-SOC functional relation expression formulas.The present invention gives several
The citation form of common impedance parameter-SOC functional relation expression formulas but this several form is not limited to, as shown in table 3.
The citation form of the several frequently seen model impedance parameter-SOC functional relation expression formulas of table 2
Wherein, z is battery SOC, b0,b1,…,bi1For parameter to be identified, c0,c1,…,ci2For parameter to be identified, d0,
d1,…,di3For parameter to be identified, i1, i2, i3 represent nonnegative integer, and it is typically less than or equal to 4.
Further, optimized algorithm is used described in the step 2 to the OCV-SOC functional relations and the impedance
The fitting of parameter-SOC functional relations, the optimal coefficient of each functional relation is obtained, the OCV-SOC functional relations reconstructed, tool
Body includes：By each fitting of the OCV-SOC functional relations expression formula and the impedance parameter-SOC functional relation expression formulas
Coefficient a0,a1,a2,…,ai-1,ai、b0,b1,…,bi1、c0,c1,…,ci2、d0,d1,…,di3It is excellent as parameter to be identified, use
Change algorithm to recognize the parameter to be identified.
Further, the step 3 specifically includes：The experiment of electrokinetic cell system actual condition obtains battery data, first
It is fully charged according to standard charging mode, it is believed that now battery SOC is 100%, using corresponding discharge and recharge strategy/operating mode to power
Battery system carries out discharge and recharge, until after cell voltage is less than or equal to standard discharge cut-off voltage, stops discharge and recharge and stands
10min, then it is discharged to blanking voltage according to standard discharge mode (generally 1/3 constant-current discharge), it is believed that now battery SOC is
0%, integrated using ampere-hour after obtaining battery capacity, the reference SOC curves of whole working condition tests are obtained by below equation：
Wherein, CaFor battery capacity, ztFor t battery SOC, iL,tFor the charging and discharging currents of t battery, η (iL,t) be
T battery efficiency.
Progress uses different discharge and recharge strategies/operating mode charge and discharge electric test at least twice, obtains battery data, will wherein once
The OCV-SOC functional relations reconstruct that the acquired voltage of experiment, current data are used in the step 2, by the reconstruction result
Kalman filtering state estimation is extended, and the reference OCV-SOC relations with being obtained at least another experiment are bent
Line, which compares, to be verified.
Traditional acquisition battery data is come during obtaining fair curve, OCV-SOC functional relations are usually by open circuit electricity
The mode of pressure experiment obtains, i.e., by the voltage after the sufficient standing under 0%, 10% ..., 100%SOC as under corresponding SOC
OCV, and then pass through be fitted obtain OCV-SOC functional relations.But (such as ferric phosphate lithium ion for some electrokinetic cells
Battery), there is voltage platform phenomenon in the OCV-SOC function relation curves that the above method obtains, so as to cause to repair using model OCV
Precision is relatively low during positive battery SOC estimated results, or even Divergent Phenomenon occurs.Meanwhile the requirement of battery sufficient standing is difficult to hold,
Long standing can cause unnecessary experiment to take, and cause algorithm development cycle stretch-out, and too short standing can cause to obtain
OCV-SOC functional relations and actual deviation are larger, reduce the performance of succeeding state algorithm for estimating.And based on provided by the present invention
The reconstructing method of electrokinetic cell system OCV-SOC functional relations, then open voltage test need not be carried out, can not only saved a large amount of
Test period, and suitable for various types of electrokinetic cell including ferric phosphate lithium ion battery, have
More preferable versatility, while can more effectively ensure the correcting action of OCV-SOC functional relations, improve the Shandong of state estimation algorithm
Rod.
Brief description of the drawings
Fig. 1 shows the reconstructing method flow chart of electrokinetic cell system OCV-SOC functional relations provided by the present invention
Fig. 2 shows the voltage platform phenomenon of the OCV-SOC relation curves obtained by open voltage test method
Fig. 3 shown during OCV-SOC functional relations are reconstructed, parameter identification (CTCDC operating modes) model terminal voltage and
Its error
Fig. 4 shown during OCV-SOC functional relations are reconstructed, result verification (NEDC operating modes) model terminal voltage and its
Error
Fig. 5 shows that algorithm SOC initial values set the situation of inaccurate (initial reference value=70%, initial value error=80%)
Under, the state estimation algorithm result based on experiment OCV-SOC functional relations and EKF is shown：(a) terminal voltage is estimated
Evaluation and measured value contrast, (b) terminal voltage error, (c) SOC estimation and reference value contrast, (d) SOC errors
Fig. 6 shows that algorithm SOC initial values set the situation of inaccurate (initial reference value=70%, initial value error=80%)
Under, shown based on reconstruct OCV-SOC functional relations and the state estimation algorithm result of EKF (EKF)：(a) end electricity
Press estimate and measured value contrast, (b) terminal voltage error, (c) SOC estimation and reference value contrast, (d) SOC errors
Fig. 7, which is shown, establishes the available several frequently seen model form of electrokinetic cell system model
Embodiment
Method provided herein is made below in conjunction with the accompanying drawings and further illustrates and explains in detail.
As shown in Figure 1, the invention provides a kind of reconstructing method of electrokinetic cell system OCV-SOC functional relations, tool
Body comprises the following steps：
Step 1. performs related preparation, the SOC sections reconstructed according to needed for being actually needed and select, gathers discharge and recharge
The voltage and current data of electrokinetic cell system in journey.
During the SOC sections of above-mentioned selected required reconstruct, for pure electric automobile, power battery of pure electric automobile is selected
The 20%-100%SOC sections usually to work, for hybrid vehicle, then need what is worked according to its electrokinetic cell
Optimal SOC scopes are selected.
Step 2. establishes electrokinetic cell system model, it is determined that in the model established OCV-SOC functional relations expression formula with
And impedance parameter-SOC functional relation expression formulas, according to the voltage of the electrokinetic cell system obtained in the step 1,
The electric current and the reference SOC data, are joined using optimized algorithm to the OCV-SOC functional relations and the impedance
The fitting of number-SOC functional relations, obtain the optimal coefficient of each functional relation, the OCV-SOC functional relations reconstructed；
The OCV-SOC functional relations of reconstruct are applied in the state estimation algorithm based on model by step 3., according to described
The voltage and current data obtained in step 1, calculating refer to OCV-SOC relation curves, and the OCV-SOC functions of the reconstruct are closed
The reasonability of system is verified.
In one embodiment of the invention, reconstruct OCV-SOC functional relation processes are explained in detail, including in detail below
Step：
(1) step, initiation parameter, including model terminal voltage error threshold Vlimit, validation error distribution coefficient α, mould
Type sequence number n, impedance parameter-SOC functional relation sequence number k1 ..., kJ, and OCV-SOC functional relation sequence numbers m.Wherein, n=1,
K1=1 ..., kJ=1, m=1, Vlimit often take 2%* battery discharge blanking voltages.It should be noted that model accuracy is by intending
Close error (generation of parameter identification process), validation error (generation of result verification process) two parts come overall merit, validation error
Distribution coefficient α often takes 0.6~1, and error of fitting distribution coefficient is (1- α)；
(2) step, from n-th of battery model；
(3) step, based on selected model, respectively from kth 1, k2 ..., kJ impedance parameter-SOC functional relation, if institute
Modeling type without j impedance parameter (j=1,2 ..., J), then make kj=0, expression need not choose j-th of impedance parameter-
SOC functional relations；
(4) step, from m-th of OCV-SOC functional relation；
(5) step, appropriate adjusting and optimizing algorithm parameter；
(6) step, based on first group of electrokinetic cell voltage, electric current, with reference to SOC data, using the optimized algorithm formulated
Above-mentioned set OCV-SOC functional relations, the parameter identification of model impedance parameter-SOC functional relations are completed, is obtained selected
OCV-SOC functional relations and the parameter value in model impedance parameter-SOC functional relations, and record the model of identification result
Terminal voltage maximum error of fitting V1max (m, k1 ..., kJ, n)；
(7) step, by other groups of electrokinetic cell voltages, electric current, with reference to SOC data inputs to (6) step identified parameters after
Battery model in, verify the generalization of institute's established model and parameter identification result, the model terminal voltage for recording the result is maximum
Validation error V2max (m, k1 ..., kJ, n), and make Vmax=(1- α) * V1max+ α * V2max；
(8) step, judges whether m >=M sets up, if then jumping to (9) step, otherwise makes m=m+1, and jumps to
(4) step；
(9) step, judges whether Vmax (m, k1 ..., kJ, n) minimum value min (Vmax)≤Vlimit sets up, if full
Foot requires, then jumps to (12) step, otherwise jump to (10) step；
(10) step, judge k1 >=K1, whether k2 >=K2 ..., kJ >=KJ set up simultaneously, if meeting to require, jump to
(11) step, k1=k1+1, k2=k2+1 ..., kJ=kJ+1 are otherwise made, and jump to (3) step；For on stricti jurise,
K1, k2 ..., kJ increasing process progressively carry out, i.e., 1 time circulation only increases some kj value, generally according to j=1,
2nd ..., J order increases successively, until keeping constant after respectively reaching its maximum；For model parameter is more, each impedance ginseng
The complicated and similar situation of number-SOC functional relation forms, can also select to increase simultaneously k1, k2 ..., kJ, improve algorithm
Execution efficiency；
(11) step, judges whether n >=N sets up, if meeting to require, jumps to (12) step, otherwise makes n=n+1, and
Jump to (2) step；
(12) step, output Vmax (m, k1 ..., kJ, n) obtain model parameter during minimum value, complete OCV-SOC functions
The reconstruct of relation.
In one embodiment of the invention, from being tested exemplified by a certain model ferric phosphate lithium ion battery, enter
And compare the OCV-SOC functional relations that the OCV-SOC functional relations that the present invention reconstructs directly are obtained with tradition based on experiment.
It is research object from ferric phosphate lithium ion battery, its rated capacity is 27Ah, and discharge and recharge blanking voltage is distinguished
For 3.65V, 2.0V.Selected pure electric automobile working environment, i.e. battery SOC section elect 20%-80% as.
According to table 1, choose without 1 rank RC models of hysteresis with being model basis without 2 rank RC models of hysteresis, model sequence number is by n tables
Show, according to the complexity of model, by it is better simply the former be designated as No. 1 model (i.e. n=1), more complicated the latter is designated as No. 2
Model (i.e. n=2), while N=2 is obtained, J=5, model impedance parameter includes ohmic internal resistance R0, polarization resistance Rp1With Rp2, polarization
Electric capacity Cp1With Cp2。
According to table 2,4-8 rank multinomials and formula (3)-formula (6) are chosen to describe OCV and SOC functional relation, relation
Formula sequence number represents with m, be respectively equal to 1 according to the k1 values of complexity 4-8 rank multinomials and formula (3)-formula (6), 2 ..., 9,
Obtain M=9 simultaneously；
According to table 3, R is remembered respectively0、Rp1、Cp1、Rp2、Cp2For the 1-5 impedance parameter；0-3 rank multinomials are chosen to describe
R0With SOC functional relation, multinomial sequence number is represented with k1, according to the k1 values of the rank multinomial of complexity 0,1,2,3 respectively etc.
In 1,2,3,4, while obtain K1=4；Similarly, 0-3 rank multinomials are chosen to describe Rp1With SOC functional relation, i.e. k2=
1st, 2,3,4, K2=4；0-3 rank multinomials are chosen to describe Cp1With SOC functional relation, i.e. k3=1,2,3,4, K3=4；Choose
0-3 rank multinomials describe Rp2With SOC functional relation, i.e. k4=1,2,3,4, K4=4；0-3 rank multinomials are chosen to describe
Cp2With SOC functional relation, i.e. k5=1,2,3,4, K5=4.
It is more in view of the parameter to be identified of institute's established model, parameter identification is carried out using genetic algorithm.
Battery data is mainly obtained by three underlay capacity, open-circuit voltage, state of cyclic operation experiments.Wherein, open-circuit voltage
Experiment is mainly used in the acquisition of traditional OCV-SOC functional relations, and 2h is stood under each SOC points；State of cyclic operation experiment includes CTCDC
State of cyclic operation is tested with NEDC state of cyclic operations, wherein, the former is used for the parameter identification process for reconstructing OCV-SOC functional relations, after
Person is used for the result verification process for reconstructing OCV-SOC functional relations.Electrokinetic cell state of cyclic operation electric current, voltage number based on acquisition
According to being calculated and refer to SOC curves accordingly.
Discharge cut-off voltage based on selected battery is 2V, model terminal voltage error threshold Vlimit=2000*2%=
40mV, validation error distribution coefficient α take 0.9.
By the restructuring procedure of above-mentioned OCV-SOC functional relations, n=1, k1=3, k2=3, k3=3, k4=0 are circulated in,
Stop when k5=0, m=3, now battery model is without 1 rank RC models of hysteresis, ohmic internal resistance R0, polarization resistance Rp1With polarization electricity
Hold Cp1- SOC functional relations are 2 rank multinomials, and model does not include polarization resistance Rp2With polarization capacity Cp2, OCV-SOC functions pass
It is for 6 rank multinomials, shown in each multinomial coefficient such as formula (10)-(13), parameter identification result (CTCDC operating modes) terminal voltage error
As shown in figure 3, Verification result (NEDC operating modes) terminal voltage error is as shown in Figure 4.
R0=0.00243-0.00197 × z+0.00131 × z2 (10)
Rp1=0.00236-0.00378 × z+0.00351 × z2 (11)
Cp1=16700-19060 × z+22110 × z2 (12)
Uoc=2.9572+2.1576 × z-4.3474 × z2-1.9367×z3+17.702×z4-21.230×z5+
8.0404×z6 (13)
Obtained OCV-SOC functional relations will be reconstructed in EKF, completing the state estimation of battery, and
Contrasted with the OCV-SOC functional relations (being equally fitted using 6 rank multinomials) obtained based on open voltage test.Such as Fig. 2
Shown, precision is relatively low when correcting battery SOC estimated result using model OCV, or even Divergent Phenomenon occurs.Based on experiment OCV-
The estimated results of SOC functional relations as shown in figure 5, the estimated result based on reconstruct OCV-SOC functional relations as shown in fig. 6, can
During finding SOC initial values as in voltage platform, for the SOC initial values of inaccuracy, the latter SOC estimated results can rapidly converge to
Keep stable after true value, and the former is difficult to restrain.
Drawn from above-mentioned analysis, electrokinetic cell open-circuit voltage proposed by the invention and the reconstruct of state-of-charge functional relation
Method has the advantage that compared with conventional method：
(1) test period is substantially reduced compared to traditional algorithm using the reconstructing method of the present invention；
(2) during reconstructing OCV-SOC functional relations, the simplest model for meeting required precision is chosen and establishes,
I.e. without 1 rank RC models of hysteresis, extensive work is saved for subsequent algorithm；
(3) by the fitting and the checking of NEDC state of cyclic operation data of CTCDC state of cyclic operation data, it ensure that model is high and intend
While closing precision, model-free over-fitting, reconstruct OCV-SOC functional relation reliabilities are improved；
(4) Fig. 5,6 show, the state estimation algorithm based on reconstruct OCV-SOC functional relations is in any SOC initial values and algorithm
Energy rapid convergence solves ferric phosphate lithium ion battery voltage and put down to true value in the case that initial value sets inaccurate (20% error)
The problem of traditional OCV-SOC functional relations amendment precision is difficult to ensure that caused by platform is long.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (6)
- A kind of 1. reconstructing method of electrokinetic cell system OCV-SOC functional relations, it is characterised in that：Specifically include following steps：The SOC sections that step 1. reconstructs according to needed for being actually needed and select, gather the electricity of electrokinetic cell system in charge and discharge process Pressure and current data；Step 2. establishes electrokinetic cell system model, it is determined that OCV-SOC functional relations expression formula and resistance in the model established Anti- parameter-SOC functional relation expression formulas, according to the voltage of the electrokinetic cell system obtained in the step 1, described Electric current and the reference OCV-SOC relation curves, using optimized algorithm to the OCV-SOC functional relations and the impedance The fitting of parameter-SOC functional relations, the optimal coefficient of each functional relation is obtained, the OCV-SOC functional relations reconstructed；The OCV-SOC functional relations of reconstruct are applied in the state estimation algorithm based on model by step 3., according to the step 1 The voltage and current data of middle acquisition, it is calculated and refers to OCV-SOC relation curves accordingly, to the OCV-SOC of the reconstruct The reasonability of functional relation is verified.
- 2. the method as described in claim 1, it is characterised in that：Described in the step 2 establishes electrokinetic cell system model Specifically include：N number of existing electrokinetic cell system model is chosen, is numbered according to the complexity of selected model, n is represented The sequence number of selected model, n=1,2 ..., N, simpler model should distribute smaller model sequence number；The power of the foundation Battery system model, which has, comprises at least ohmic internal resistance R0, polarization resistance RpAnd polarization capacity CPJ impedance parameter.
- 3. method as claimed in claim 2, it is characterised in that：In the model that the determination in the step 2 is established OCV-SOC functional relation expression formulas specifically include：M existing OCV-SOC functional relations expression formulas are chosen, according to selected The complexity of OCV-SOC functional relation expression formulas is numbered, m represent selected by expression formula sequence number, m=1,2 ..., M, more Simple expression formula should distribute smaller sequence number.
- 4. method as claimed in claim 2, it is characterised in that：Determination impedance parameter-SOC the functions in the step 2 Relational expression specifically includes：For the J impedance parameter for the electrokinetic cell system model established, choose respectively K1, K2 ..., the citation form of KJ existing impedance parameter-SOC functional relation expression formulas, while using k1, k2 ..., kJ difference Represent the 1st, 2 ..., the sequence number of J impedance parameter-SOC functional relation expression formula, the span of sequence number be k1=1, 2nd ..., K1 ..., kJ=1,2 ..., KJ；Carried out according to the complexity of selected impedance parameter-SOC functional relation expression formulas Numbering, simpler expression formula should distribute smaller sequence number.
- 5. such as the method any one of claim 2-4, it is characterised in that：Optimized algorithm is used described in the step 2 Fitting to the OCV-SOC functional relations and the impedance parameter-SOC functional relations, obtains the optimal of each functional relation Coefficient, the OCV-SOC functional relations reconstructed, is specifically included：By the OCV-SOC functional relations expression formula and the resistance Each fitting coefficient of anti-parameter-SOC functional relation expression formulas is as parameter to be identified, using optimized algorithm to the ginseng to be identified Number is recognized.
- 6. the method as described in claim 1, it is characterised in that：The step 3 specifically includes：It is actual by electrokinetic cell system Working condition tests obtain battery data, and it is fully charged to be first according to standard charging mode, it is believed that now battery SOC is 100%, using phase Discharge and recharge strategy/the operating mode answered carries out discharge and recharge to electrokinetic cell system, until cell voltage is less than or equal to standard electric discharge cut-off After voltage, stop discharge and recharge and stand 10min, be then discharged to and cut according to standard discharge mode (generally 1/3 constant-current discharge) Only voltage, it is believed that now battery SOC is 0%, is integrated using ampere-hour after obtaining battery capacity, whole work is obtained by below equation The reference SOC curves of condition experiment：<mrow> <msub> <mi>z</mi> <mi>t</mi> </msub> <mo>=</mo> <msub> <mi>z</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <mfrac> <mrow> <mi>&eta;</mi> <mrow> <mo>(</mo> <msub> <mi>i</mi> <mrow> <mi>L</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>&times;</mo> <msub> <mi>i</mi> <mrow> <mi>L</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> </mrow> <msub> <mi>C</mi> <mi>a</mi> </msub> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>Wherein, CaFor battery capacity, ztFor t battery SOC, iL,tFor the charging and discharging currents of t battery, η (iL,t) when being t Carve battery efficiency；Progress uses different discharge and recharge strategies/operating mode charge and discharge electric test at least twice, obtains battery data, wherein will once test The OCV-SOC functional relations reconstruct that acquired voltage, current data are used in the step 2, the reconstruction result is carried out EKF state estimation, and the reference OCV-SOC relation curve phases with being obtained at least another experiment Compare and verified.
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| CN113311338A (en) * | 2021-06-02 | 2021-08-27 | 江苏大学 | Data-driven lithium ion battery open circuit voltage curve reconstruction method |
| CN113311338B (en) * | 2021-06-02 | 2023-01-17 | 江苏大学 | Data-driven lithium ion battery open circuit voltage curve reconstruction method |
| CN114379535A (en) * | 2022-01-24 | 2022-04-22 | 北京航空航天大学 | Output control method and device for oil-electricity hybrid power system |
| CN114379535B (en) * | 2022-01-24 | 2023-07-21 | 北京航空航天大学 | Output control method and device for oil-electricity hybrid power system |
| CN115166536A (en) * | 2022-09-01 | 2022-10-11 | 中创新航科技股份有限公司 | Method and device for determining SOC (state of charge) of battery system |
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