CN104931893A - Modeling method suitable for large-scale batteries that are obviously inconsistent in parameter - Google Patents

Modeling method suitable for large-scale batteries that are obviously inconsistent in parameter Download PDF

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CN104931893A
CN104931893A CN201510374644.1A CN201510374644A CN104931893A CN 104931893 A CN104931893 A CN 104931893A CN 201510374644 A CN201510374644 A CN 201510374644A CN 104931893 A CN104931893 A CN 104931893A
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battery
parameter
monomer
model
test result
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CN104931893B (en
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范刘洋
汪可友
李国杰
江秀臣
韩蓓
冯琳
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Shanghai Jiaotong University
State Grid Shanghai Electric Power Co Ltd
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Shanghai Jiaotong University
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Abstract

The invention discloses a modeling method suitable for large-scale batteries that are obviously inconsistent in parameter. The method includes the steps: performing an HPPC test on each of batteries, and obtaining the voltage and current curve of each battery under the HPPC test condition; performing a cycle life test, and obtaining an aging test result; establishing a two-dimensional table of battery parameters, SOC and SOH, etc. Individual batteries are effectively prevented from overly charged or discharged, parameter differences among the batteries are fully taken into consideration, voltages of the batteries are evaluated more accurately, and on-line monitoring can be conveniently carried out. The modeling method is suitable for applications of a large-scale battery energy storage system.

Description

Be suitable for parameter inconsistency significantly extensive electric battery modeling method
Technical field
The present invention relates to a kind of battery energy storage modeling technique field, particularly relate to one and be applicable to parameter inconsistency significantly extensive electric battery modeling method.
Background technology
Along with the development of battery technology and the reduction of battery cost, be that the large-scale energy storage system of energy-accumulating medium is being applied in the middle of electric system gradually with battery.Along with the increase of battery system scale, the management of battery energy storage system improves with control difficulty, needs a kind of modeling method being applicable to large-scale energy storage system.
In existing accumulator system modeling, often ignore the parameter differences of internal system, whole system is reduced to a unit and carries out equivalence.But due to the complexity of battery production technology, in electric battery, each monomer is difficult to accomplish the identical of parameter.Along with the increase of system scale, inconsistency also can increase the control effect of battery system.This needs one can consider inside battery parameter differences, and is suitable for the modeling method of extensive battery system.
Summary of the invention
For solving the impact on Systematical control and battery management of inconsistency in extensive battery energy storage system, the present invention proposes one and is suitable for parameter inconsistency significantly extensive electric battery modeling method.The method can to the modeling in consideration inconsistency situation of extensive battery energy storage system, and modeling accuracy is high, and mode of operation is simple, is suitable for the application of extensive battery system.
Solution solution of the present invention is as follows:
One is applicable to parameter inconsistency significantly extensive electric battery modeling method, comprises the steps:
Step is 1.: carry out HPPC test to each monomer of electric battery, obtain the voltage-current curve under HPPC test condition of each monomer of electric battery;
Step is 2.: adopt battery quick aging method to carry out cycle life test to the typical monomers of electric battery, obtain ageing test result;
Described typical monomers refers in the battery energy storage system be made up of the battery cell of k kind specification, and with reference to HPPC test result, in the battery cell of each specification, select a performance to be in the monomer of average level, this monomer is typical monomers;
Step is 3.: carry out parameter identification to battery cell HPPC test result, obtain battery parameter and SOC relation; Think that the battery of often kind of specification is individual in ageing process, the ratio of Parameters variation is identical with typical monomers, obtains the relation of typical monomers parameter and SOH; 1. and step test result 2. integrating step, sets up the two-dimentional form of battery parameter and SOC and SOH;
Step is 4.: refer step 2. in ageing test result, apply the operation characteristic of requirement to modeling accuracy and battery energy storage system, the update cycle of setting battery parameter;
Step is 5.: when battery energy storage system does not start, read the open-circuit voltage of each monomer current by battery management system, by described step 1. HPPC test result, obtain the initial SOC of each monomer current;
Step is 6.: use equivalent-circuit model modeling to each monomer, connected, for the estimation to whole accumulator system voltage or electric current by the equivalent-circuit model of each monomer according to connected mode actual in electric battery;
Step is 7.: when reaching step update cycle 4. when running, measure the new operational factor of present battery accumulator system, then return step 6. by on-line monitoring or offline inspection;
When not reaching step update cycle 4. when running, do not upgrade battery parameter, continue operating procedure 6.;
Described equivalent-circuit model modeling is internal resistance model, wears Vernam model, PNGV model or GNL model.
Compared with prior art, the invention has the beneficial effects as follows:
1) this model can provide more detailed reference for the control of battery energy storage system.Internal battery pack parameter differences ignored by current battery system model, and easily cause overcharging or excessively putting of individual monomers, this can cause the lost of life of battery energy storage system, aging quickening.And the battery pack model that the present invention proposes considers each monomer parameter differences, effectively prevent overcharging or crossing the generation of putting of individual monomers.
2) this model can provide foundation for the optimal design of battery energy storage system.When ignoring internal battery pack parameter differences, battery voltage is estimated to be inaccurate, and "current" model easily causes control system deviation.And the battery pack model that the present invention proposes takes into full account each monomer parameter differences, it is more accurate to estimate battery voltage.
3) present battery sets up mould testing complex, needs to carry out multiple test process, length consuming time, is not suitable for the application of extensive battery energy storage system.And the battery model method of testing that the present invention proposes is simple, conveniently can expand to on-line monitoring, be applicable to the application of extensive battery energy storage system.
Accompanying drawing explanation
Fig. 1 is that the present invention is applicable to parameter inconsistency significantly extensive electric battery modeling method process flow diagram.
Embodiment
Below in conjunction with accompanying drawing, the invention process process is described in detail.
The present invention comprises altogether two stages:
Stage one: parameter testing stage.In this stage, carry out test and calibration by parameter characteristic in electric battery, for next stage modeling provides Data support.
Step is 1.: carry out mixed pulses power characteristic test (Hybrid Pulse PowerCharacteristic, HPPC) test to each monomer of electric battery.HPPC test can determine the relation of electric battery parameters and state-of-charge (State of Charge, SOC), and the description for electric battery dynamic perfromance provides data reference.Although whole battery system is larger, it is shorter that single HPPC tests the used time, therefore the test duration of whole accumulator system can accept.
Step is 2.: carry out cycle life test to electric battery typical monomers.Assuming that this accumulator system is made up of the battery cell of k kind specification.In the battery of each specification, get the monomer (concrete data by previous step HPPC tested can be obtained) of a performance close to average level, this monomer is typical monomers.And cycle life test is carried out to the typical monomers of k kind specification.The cycle life test duration is longer, but only needs to test a small amount of monomer due to this process, so battery quick aging method can be adopted to test, quick aging method is that industry is known, repeats no more.
Step is 3.: carry out parameter identification to battery cell HPPC result, obtain battery parameter and SOC relation.Parameter identifying is that industry is known, is not repeating.Think that the cell degradation speed of often kind of specification is identical with typical monomers, the relation of typical monomers parameter and battery health degree (State of Health, SOH) can be obtained.1. and step measurement result 2. integrating step, sets up the battery parameter of k kind specification and the two-dimentional form of SOC and SOH.
Stage two: battery system modelling phase.Based on last stage to the test result of battery parameter, set up the extensive battery system model considering inconsistency.
Step is 4.: when battery energy storage system does not start, by battery management system (Battery ManagementSystem, BMS) read the open-circuit voltage of each monomer current, by described step 1. HPPC test result, obtain the initial SOC of each monomer current.
Step is 5.: using equivalent-circuit model modeling to each monomer, being connected by equivalent-circuit model, for the estimation to whole accumulator system voltage or electric current according to there being connected mode in electric battery.Equivalent electrical circuit described herein includes but not limited to internal resistance model, wears Vernam model, PNGV (Partnership for a New Generation ofVehicle) model, GNL model etc.It is known that the method for equivalent-circuit model modeling belongs to industry, repeats no more.
Step is 6.: refer step 2. in ageing test result, apply the operation characteristic of requirement to modeling accuracy and battery energy storage system, the update cycle of setting battery parameter.When reaching the update cycle when running, measure the new operational factor of present battery accumulator system by on-line monitoring or offline inspection.On-line monitoring or offline inspection can only measure partial parameters in battery model usually, such as ohmic internal resistance, by step 3. in the bivariate table of the battery parameter that obtains and SOC and SOH, the numerical value of other parameters can be estimated.
Step is 7.: the parameter after upgrading in using step 6., repeats step 5., sets up the model of whole battery system.
Suppose that certain battery system is made up of the battery cell of k kind specification, the quantity of i-th kind of battery cell is n iindividual, monomer populations amount is N number of.First, HPPC test is carried out to all batteries, the parameter of each battery and the relation of SOC.Assuming that the equivalent-circuit model set up is for wearing Vernam model, then need to obtain open-circuit voltage OCV, ohmic internal resistance r o, polarization resistance r pand polarization capacity c pwith the relation function of SOC, to a jth monomer, be designated as respectively: OCV (SOC) r oj(SOC) r pj(SOC) c pj(SOC), wherein j=1,2 ..., N.From k kind specification monomer, with reference to HPPC test result, all selecting that a performance is in each specification monomer is on average the monomer of level, is called typical monomers.Carry out cycle life test to k typical monomers, measure the relation function of parameter with SOH of each specification monomer, to the monomer of s specification, relation function is designated as r os(SOH) r ps(SOH) c ps(SOH), wherein, s=1,2 ..., k affects because general open-circuit voltage is mainly subject to SOC, therefore does not carry out the demarcation of the relation of OCV and SOC.Think and meet identical aging rule at the battery cell of each specification, by the parameter of typical monomers with SOH change in proportion conversion to other monomers, generate the two-dimentional form of parameter and SOC and SOH, in order to inquiring about.
With reference to the cyclic lifetime test results, the operation characteristic applying requirement to modeling accuracy and battery energy storage system, the update cycle of setting battery parameter.This step is comparatively flexible, the service requirement of viewing system and operation characteristic and determine.Such as to capacity estimation error requirements within 5%, then with reference to the cyclic lifetime test results, in the setup parameter update cycle, capacity attenuation should be less than 5%.Or frame of reference operation characteristic, when the accumulator system time between overhauls(TBO) is three months, meeting in modeling accuracy requirement situation, carrying out parameter renewal work with reference to the time between overhauls(TBO).
When reaching the update cycle when running, measure the new operational factor of present battery accumulator system by on-line monitoring or offline inspection.Described detection means includes but not limited to impedance spectrum test etc., and whether, with reference to actual motion requirement, such as modeling accuracy requires, monitoring time limits, allow the factors such as offline inspection to arrange detection means.Usually detect fast and cannot detect all parameters of battery, can only carry out some parameter, as ohmic internal resistance r o, by the parameter of foundation before inquiry and the two-dimentional form of SOC and SOH, estimate capacity, polarization resistance and polarization capacity that each battery cell is current.
After obtaining current operating parameter and estimating, according to equivalent-circuit model to each monomer modeling, the operational factor of each monomer can be estimated, as voltage, electric current etc.By monomer according to actual connected mode, the parameter such as voltage, electric current is combined, electric battery overall operation parameter can be estimated.Combined method be voltage of serially-connected cells add and, batteries in parallel connection electric current add and, do not repeat them here.

Claims (2)

1. be applicable to a parameter inconsistency significantly extensive electric battery modeling method, it is characterized in that, the method comprises the steps:
Step is 1.: carry out HPPC test to each monomer of electric battery, obtain the voltage-current curve under HPPC test condition of each monomer of electric battery;
Step is 2.: adopt battery quick aging method to carry out cycle life test to the typical monomers of electric battery, obtain ageing test result;
Described typical monomers refers in the battery energy storage system be made up of the battery cell of k kind specification, and with reference to HPPC test result, in the battery cell of each specification, select a performance to be in the monomer of average level, this monomer is typical monomers;
Step is 3.: carry out parameter identification to battery cell HPPC test result, obtain battery parameter and SOC relation; Think that the battery of often kind of specification is individual in ageing process, the ratio of Parameters variation is identical with typical monomers, obtains the relation of typical monomers parameter and SOH; 1. and step test result 2. integrating step, sets up the two-dimentional form of battery parameter and SOC and SOH;
Step is 4.: refer step 2. in ageing test result, apply the operation characteristic of requirement to modeling accuracy and battery energy storage system, the update cycle of setting battery parameter;
Step is 5.: when battery energy storage system does not start, read the open-circuit voltage of each monomer current by battery management system, by described step 1. HPPC test result, obtain the initial SOC of each monomer current;
Step is 6.: use equivalent-circuit model modeling to each monomer, connected, for the estimation to whole accumulator system voltage or electric current by the equivalent-circuit model of each monomer according to connected mode actual in electric battery;
Step is 7.: when reaching step update cycle 4. when running, measure the new operational factor of present battery accumulator system, then return step 6. by on-line monitoring or offline inspection;
When not reaching step update cycle 4. when running, do not upgrade battery parameter, continue operating procedure 6..
2. be according to claim 1ly applicable to parameter inconsistency significantly extensive electric battery modeling method, it is characterized in that, described equivalent-circuit model modeling is internal resistance model, wears Vernam model, PNGV model or GNL model.
CN201510374644.1A 2015-06-30 2015-06-30 Suitable for the significantly extensive battery pack modeling method of parameter inconsistency Expired - Fee Related CN104931893B (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105717459A (en) * 2016-02-05 2016-06-29 北京长城华冠汽车科技股份有限公司 Power battery charge state distributed computing method and system
CN105866698A (en) * 2016-05-11 2016-08-17 安徽锐能科技有限公司 Battery health state estimation method taking battery consistency into account
CN106021738A (en) * 2016-05-23 2016-10-12 山东大学 Non-uniform multi-individual parallel-serial battery pack distributed model building system and method
CN109031145A (en) * 2018-08-10 2018-12-18 山东大学 A kind of series-parallel battery pack model and implementation method considering inconsistency
CN110707374A (en) * 2018-07-10 2020-01-17 加百裕工业股份有限公司 Parallel battery management system and method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110264381A1 (en) * 2010-04-22 2011-10-27 Battelle Energy Alliance, Llc Systems, methods and computer readable media to model kinetic performance of rechargeable electrochemical devices
CN102914745A (en) * 2012-07-02 2013-02-06 北京工业大学 Method for evaluating performance states of automotive power batteries
CN103544330A (en) * 2012-07-13 2014-01-29 北汽福田汽车股份有限公司 Method for constructing equivalent circuit model of lithium ion battery
CN103632018A (en) * 2013-12-24 2014-03-12 山东大学 Battery modeling method based on Simscape platform
CN103983920A (en) * 2014-05-26 2014-08-13 北京理工大学 Method for establishing model of power battery of electric vehicle
CN104614676A (en) * 2015-01-07 2015-05-13 王金全 Method for modeling equivalent circuit model by considering pulse current response characteristic of energy storage battery

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110264381A1 (en) * 2010-04-22 2011-10-27 Battelle Energy Alliance, Llc Systems, methods and computer readable media to model kinetic performance of rechargeable electrochemical devices
CN102914745A (en) * 2012-07-02 2013-02-06 北京工业大学 Method for evaluating performance states of automotive power batteries
CN103544330A (en) * 2012-07-13 2014-01-29 北汽福田汽车股份有限公司 Method for constructing equivalent circuit model of lithium ion battery
CN103632018A (en) * 2013-12-24 2014-03-12 山东大学 Battery modeling method based on Simscape platform
CN103983920A (en) * 2014-05-26 2014-08-13 北京理工大学 Method for establishing model of power battery of electric vehicle
CN104614676A (en) * 2015-01-07 2015-05-13 王金全 Method for modeling equivalent circuit model by considering pulse current response characteristic of energy storage battery

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郑岳久: "车用锂离子动力电池组的一致性研究", 《2014年硕士论文集》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105717459A (en) * 2016-02-05 2016-06-29 北京长城华冠汽车科技股份有限公司 Power battery charge state distributed computing method and system
CN105717459B (en) * 2016-02-05 2019-11-29 北京长城华冠汽车科技股份有限公司 A kind of method and system of the state-of-charge of distribution calculating power battery
CN105866698A (en) * 2016-05-11 2016-08-17 安徽锐能科技有限公司 Battery health state estimation method taking battery consistency into account
CN105866698B (en) * 2016-05-11 2018-11-20 安徽锐能科技有限公司 Consider the health status estimation method of the battery of battery consistency
CN106021738A (en) * 2016-05-23 2016-10-12 山东大学 Non-uniform multi-individual parallel-serial battery pack distributed model building system and method
CN110707374A (en) * 2018-07-10 2020-01-17 加百裕工业股份有限公司 Parallel battery management system and method
CN110707374B (en) * 2018-07-10 2022-09-09 加百裕工业股份有限公司 Parallel battery management system and method
CN109031145A (en) * 2018-08-10 2018-12-18 山东大学 A kind of series-parallel battery pack model and implementation method considering inconsistency

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