CN109061477A - A kind of the verifying evaluation method and device of battery SOC estimating algorithm - Google Patents

A kind of the verifying evaluation method and device of battery SOC estimating algorithm Download PDF

Info

Publication number
CN109061477A
CN109061477A CN201810598112.XA CN201810598112A CN109061477A CN 109061477 A CN109061477 A CN 109061477A CN 201810598112 A CN201810598112 A CN 201810598112A CN 109061477 A CN109061477 A CN 109061477A
Authority
CN
China
Prior art keywords
battery
soc
evaluation
algorithm
verified
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810598112.XA
Other languages
Chinese (zh)
Other versions
CN109061477B (en
Inventor
夏必忠
周杰
杨亚迪
刘凡
刘一凡
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Graduate School Tsinghua University
Original Assignee
Shenzhen Graduate School Tsinghua University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Graduate School Tsinghua University filed Critical Shenzhen Graduate School Tsinghua University
Priority to CN201810598112.XA priority Critical patent/CN109061477B/en
Publication of CN109061477A publication Critical patent/CN109061477A/en
Application granted granted Critical
Publication of CN109061477B publication Critical patent/CN109061477B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The present invention relates to a kind of verifying evaluation method and device of battery SOC estimating algorithm, the OCV-SOC curve of battery is stored in advance, it charges the battery or discharges, calculate SOC value of battery using the SOC algorithm of evaluation to be verified, record the SOC algorithm operation time and committed memory space;OCV-SOC relation curve according to the pre-stored data, which obtains, refers to SOC value;The SOC value of battery that the SOC algorithm of evaluation to be verified calculates is compared with described with reference to SOC value, determines the SOC estimating algorithm precision of evaluation to be verified;Superior and inferior evaluating is carried out based on the SOC algorithm of occupied memory headroom, operation time and arithmetic accuracy to the evaluation to be verified.It is of the invention novel in design reasonable, the demand of SOC estimating algorithm researcher is met, the blank of the verifying and evaluation platform in the market has been filled up.

Description

A kind of the verifying evaluation method and device of battery SOC estimating algorithm
Technical field
The present invention relates to batteries of electric automobile administrative skill field more particularly to a kind of verifyings of battery SOC estimating algorithm Evaluation method and device.
Background technique
State-of-charge SOC (state of charge) is the basic parameter of cell management system of electric automobile, is cell tube Global variable in reason system (battery management system, BMS) control logic, to electric car safety, fills Electric discharge strategy, eliminates driver's mileage suffering with directly affecting at energy feedback, and SOC estimating techniques are batteries of electric automobile pipes One of the core technology for managing system research and development is the generally acknowledged technological difficulties of industry.
Particularly significant just because of SOC parameter, many is engaged in the colleges and universities of electric car research, enterprise and is ground both at home and abroad at present Study carefully mechanism and numerous studies are expanded to SOC estimating algorithm, respectively propose the SOC estimating algorithm of oneself, these methods can reach Precision it is different, the performance indicators such as resources occupation rate, arithmetic speed are not also identical.In general, the precision that estimation obtains Higher, the complexity of estimating algorithm is higher, and consumed resource is more.
Currently used for verifying and related less, QC/T897 " the battery for electric automobile management system of evaluation SOC estimating algorithm System technical conditions " a kind of SOC method for testing precision of battery management system is proposed, this method can adopt within the scope of different SOC Differently SOC estimating algorithm precision is tested, but this method test process is tediously long, and cannot be in different external conditions Lower carry out precision test.Patent of invention CN107422289A discloses a kind of battery pack SOC estimation precision method of inspection and system, SOC estimation precision is examined on electric car.But this method has the following deficiencies: first is that the method for inspection obtains true SOC value Mode be that battery pack is charged to full electricity after stopping electric discharge, record charge capacity is to calculate true SOC value.But due to battery pack Charge to after voltage and remain to be filled with certain electricity, thus lack it is a kind of judge battery pack whether the standard of charging complete, thus It is difficult to obtain true SOC value.Second is that this method is only capable of verifying SOC precision during discharge, shortage is verified during the charging process SOC accuracy requirement.Patent of invention CN103713264A discloses a kind of battery management system SOC estimation precision test system and survey Method for testing, this method is using monomer voltage simulation source, assembled battery total voltage current analog source, battery box temperature simulation source to battery Group is simulated, and analog quantity is transmitted to battery management system and carries out SOC estimation precision test.But this method is lacked there are following Fall into: first is that estimated data is from battery simulator, but battery is a kind of sufficiently complex electronic component, which has been difficult to State in the full simulated battery course of work;Second is that this method carries out SOC algorithm essence using the single-chip microcontroller on battery management system Degree test, is unable to test a complexity SOC estimating algorithm.
However the above method all cannot be from estimation precision, occupancy resource quantity, arithmetic speed etc. to SOC estimating algorithm Comprehensive Quantified Evaluation is carried out, the SOC estimating algorithm that each research institution can be proposed by lacking one kind at present be verified and be evaluated Platform.In consideration of it, the present invention provides the verifying evaluation method and device of a kind of battery SOC estimating algorithm, to overcome above-mentioned lack It falls into.The evaluation method and device can obtain in real time lithium-ion battery monomer or battery pack under specific charge and discharge operating condition voltage, Electric current, temperature information transmit it to electronic control unit and carry out SOC estimation, excellent according to estimation result verifying and evaluation estimating algorithm It is bad.
Summary of the invention
To achieve the goals above, the present invention adopts the following technical scheme:
A kind of verifying evaluation method of battery SOC estimating algorithm;
The OCV-SOC curve of battery is stored in advance, the OCV-SOC curve is open-circuit voltage and the corresponding relationship song of SOC Line;
Battery is put to empty electricity, or battery is charged to full electricity;
It charges the battery or discharges, real-time measurement and the voltage, electric current, temperature for recording battery;
SOC value of battery is calculated using the SOC algorithm of evaluation to be verified, is recorded in the SOC algorithm operation time and occupancy Deposit space;
Suspend battery charge or discharge process, battery is placed 2 hours;
OCV-SOC relation curve according to the pre-stored data, which obtains, refers to SOC value;
The SOC value of battery that the SOC algorithm of evaluation to be verified calculates is compared with described with reference to SOC value, is determined to be tested Demonstrate,prove the SOC estimating algorithm precision of evaluation;
It is carried out based on the SOC algorithm of occupied memory headroom, operation time and arithmetic accuracy to the evaluation to be verified excellent Bad evaluation.
Preferably, the OCV-SOC curve is obtained by following steps measurement:
(1), by evaluation battery discharge to be verified to electric discharge by voltage;
(2), constant-current charge is carried out with the charging current of certain multiplying power to evaluation battery to be verified, charges to charging termination electricity Switch to constant-voltage charge when pressure, until terminating charging when charging complete, records the charging time, battery capacity is calculated;
(3), constant-current discharge is carried out with identical smaller current to evaluation battery to be verified, is discharged to a certain specific SOC value After stand specific time, measurement battery terminal voltage is regarded as current OCV value, records open-circuit voltage values corresponding with the SOC value;
(4), step 3 is repeated, the corresponding open-circuit voltage values of different SOC values are successively recorded, until SOC stops when being 0;
(5), OCV-SOC relation curve is established according to step 3,4 the data obtaineds.
The invention further relates to the devices for using as above verifying evaluation method, comprising:
Battery mounting box (100) with battery core;
Voltage, electric current and temperature acquisition in battery charge and discharge process is transmitted to automatically controlled by data acquisition subsystem (200) Unit;
Electronic control unit (300) runs the SOC value of battery that the SOC algorithm of evaluation to be verified calculates;
Battery charging and discharging subsystem (400) carries out charge and discharge control to battery.
Preferably, the battery charging and discharging subsystem includes battery charger (410) and to towed discharging device (420)。
Preferably, the battery charger includes rectification circuit (411), filter circuit (412), charge control module (413) and power supply grid AC conversion can be direct current by battery connecting interface, the rectification circuit, be filtered through filter circuit It is charged the battery after wave by charge control module control.
Preferably, described includes driving motor (423), load motor (424), torque sensing to towed discharging device Device (425) and motor fixing seat (426), the load motor and driving motor are connected by mechanical device, the load motor The various operating conditions that simulation electric car encounters during actual form,
Preferably, the operating condition includes but is not limited to the United States Federal city operations operating condition FUDS, ambulatory stress test operating condition The one or more of DST and composite pulse power characteristic measurement condition HPPC.
Preferably, the electronic control unit includes SOC estimation block (320), calculates SOC value of battery, the SOC estimation block It is run in computer;
Open-circuit voltage memory module (330) stores the OCV-SOC curve.
Preferably, described device further includes cell operating conditions control subsystem (500), and the battery context controls subsystem System is insulating box or constant humidity cabinet.
Preferably, the battery be monomer lithium-ion electric core or as several single battery cores it is series-parallel made of battery pack.
The present invention uses and gives a kind of verifying evaluation method and device of battery SOC estimating algorithm, acquired by data, With reference to the application of the technologies such as SOC value acquisition, the verifying and evaluation to SOC estimating algorithm are realized, thus for SOC estimating algorithm Research institution and researcher provide a reference standard, promote the development of SOC estimating algorithm research.
Compared with the prior art, the present invention has the following advantages: 1, using computer run to be verified SOC estimating algorithm, for Algorithm complexity does not require, and can calculate the intelligence including artificial neural network method, genetic algorithm, fuzzy logic algorithm Method carries out verifying evaluation;2, it is carried out in data acquisition to battery, there are acquisition noise, acquisition loss of data, electric current electricity Situations such as pressing data asynchronous, it is similar with the case where can be potentially encountered during vehicle actual travel, it being capable of high degree simulation Actual condition;3, charge-discharge test is carried out to battery by programmable power supply, to towed motor experimental bench, meanwhile, pass through program Change charge and discharge strategy, the actual conditions that battery works under different operating conditions can be simulated, it can be under different operating conditions to SOC algorithm It is verified and is evaluated.In conclusion the present invention is novel in design rationally, the demand of SOC estimating algorithm researcher is met, is filled up The blank of the verifying and evaluation platform in the market.
Detailed description of the invention
Fig. 1 is the verifying evaluating apparatus block diagram of SOC estimating algorithm provided by the invention;
Fig. 2 is data acquisition subsystem functional block diagram provided by the invention;
Fig. 3 is provided by the invention to towed motor electric discharge device schematic diagram;
Fig. 4 is battery charger schematic diagram provided by the invention;
Fig. 5 is energy consumption formula balancer schematic diagram provided by the invention;
Fig. 6 is non-energy consumption formula balancer schematic diagram provided by the invention;
Fig. 7 is the verifying evaluation method flow chart of SOC estimating algorithm provided by the invention;
Fig. 8 is initialization overhaul flow chart provided by the invention;
Fig. 9 is the verifying evaluation software flow chart of SOC estimating algorithm provided by the invention;
Figure 10 is balanced flow chart provided by the invention;
Specific embodiment
It is clear in order to be more clear the purpose of the present invention, technical scheme and beneficial effects, below in conjunction with attached drawing and specifically Embodiment, the present invention will be described in further detail.Obviously, described embodiment is only that part of the invention is implemented Example rather than whole embodiments.It should be understood that specific embodiment described in this specification is used for the purpose of explaining this Invention, but it is not intended to limit the protection scope of the present invention, those skilled in the art should understand that, in technical solution of the present invention On the basis of, those skilled in the art do not need to make the creative labor the various modifications or changes that can be made still of the invention In protection scope.
The embodiment of the invention discloses a kind of verifying evaluation method of battery SOC estimating algorithm and devices, to estimate to SOC It calculates algorithm and carries out verifying evaluation, provide reference standard for SOC estimating algorithm.
It is a kind of system frame of the evaluating apparatus of the battery SOC estimating algorithm provided in the embodiment of the present invention such as Fig. 1 Figure.The evaluating apparatus includes battery pack 100, data acquisition subsystem 200, electronic control unit 300, battery charging and discharging subsystem 400, cell operating conditions control subsystem 500, balance module 600.
The battery pack 100 is that SOC estimating algorithm estimates object, and battery charging and discharging subsystem 400 can be to battery pack 100 Charge and discharge are carried out, the data acquisition during battery set charge/discharge is transmitted to electronic control unit 300 by data acquisition subsystem 200, Electronic control unit 300 runs the battery SOC estimating algorithm and obtains SOC value.
The battery pack 100 is made of several battery cells, and multiple battery cells can be connected in series or in parallel.
The battery pack 100 can be made of cylindrical battery core, square battery core or soft pack cell.·
The data acquisition subsystem 200 is by parts groups such as data acquisition module 210, auxiliary circuit 220, MCU230 At, wherein the data acquisition module 210 is made of voltage acquisition module, current acquisition module, temperature collecting module, institute The data acquisition subsystem 200 stated acquires the voltage and temperature of each single battery core of battery pack in real time during battery set charge/discharge The data of acquisition are transmitted to computer and carry out SOC estimation by the total current of degree and battery pack.
Such as Fig. 2, the voltage acquisition module is by first filter 212, the first amplifier 213, the first A/D converter 215 equal parts form, and the voltage signal changed over time is converted digital signal by the voltage acquisition module;The electric current Acquisition module is made of the part such as Hall element 214, second filter 212, the second amplifier 213, second A/D converter 215, The current signal changed over time is converted digital signal by the current acquisition module;The temperature collecting module is by warm The part such as galvanic couple 211, third filter 212, third amplifier 213, third A/D converter forms, the temperature acquisition mould The temperature signal changed over time is converted digital signal by block;The auxiliary circuit 220 is by clock module 221, power supply mould The part such as block 222, reset circuit 223, external storage 224, communication module 225 forms, and the auxiliary circuit is to support data Acquisition device works normally.First A/D converter, the second A/D converter and third A/D converter can be integrated in one The multi-channel a/d converter of a chip.
The battery charging and discharging subsystem 400 is made of charging unit 410 and electric discharge device 420, passes through automatically controlled list The control module of member controls battery charging and discharging strategy.Charging unit is preferably programmable DC power supply, and electric discharge device is excellent Choosing is to towed motor electric discharge device.
Such as Fig. 3, operating condition towed motor electric discharge device simulated during electric automobile during traveling to battery pack into Row discharge test.It is by the motor driver 421 of control driving motor, the motor driver 422 for controlling load motor, driving electricity Machine 423, load motor 424, torque sensor 425, motor fixing seat 426 form, and it acts as wherein load motors using torsion Square output form, the i.e. torque of load motor can be changed over time according to setting operating condition, to simulate electric car in driving process In the different road conditions that face;Driving motor uses speed output form, i.e. the speed of driving motor can be according to setting operating condition at any time Between change, with the reaction made when simulating electric car in face of different road conditions.Wherein load motor and driving motor can be used Asynchronous machine.
The electronic control unit 300 is formed by host computer, display, with the interface of data acquisition subsystem.
Matlab, LabVIEW software built in the computer and battery charging and discharging control software, can pass through PCI slot Receive data collecting card institute collected battery pack voltage, electric current, temperature information, and pass through SOC estimating algorithm meter to be verified Calculation obtains SOC value.
The electronic control unit 300 includes control module 310, estimation block 320,330 module of open-circuit voltage memory module, Wherein control module 310 controls battery charging and discharging device and carries out charge-discharge test to battery, and estimation block 320 is acquired according to data Block acquired information and SOC estimation is carried out to battery, open-circuit voltage memory module stores the corresponding informance of OCV and SOC, according to data Acquisition subsystem acquisition gained OCV calculate with reference to SOC value to battery.
The cell operating conditions control subsystem 500 provides a stable working environment for battery, it is ensured that battery The safety of work.It changes climatic chamber temperature humidity, and then tests the robustness of SOC estimating algorithm.
Consuming type equilibrium may be selected in balancer 600 and non-consuming type is balanced.
It is balanced according to consuming type such as Fig. 5, then using the SOC value of the smallest single battery of remaining capacity as target, to other Single battery carries out consuming type electric discharge, to realize that the chargeable electricity of battery pack maximizes.It when work, is shunted, is led to bypass resistance It crosses switch control matrix and carries out switch control, realize balanced.When the overtension of some monomer, switch connected in series is closed It closes, corresponding shunt resistance has electric current to flow through, energy is consumed in the form of heat, and the monomer voltage is prevented to be higher than other lists Body, by taking turns control and circulation more to reach battery pack balancing.
It is balanced according to non-consuming type such as Fig. 6, then using remaining capacity average value as target, make the monomer more than remaining capacity The battery core single battery core few to remaining capacity charges, to realize that capacity usage ratio maximizes.When work, using balanced capacitor As intermediate energy storage element, put row control by the way that switch control matrix is split, realize capacitor between two adjacent monomers into Row energy transmission.
Such as Fig. 7, the present invention provides a kind of verifying evaluation method of battery SOC estimating algorithm, and the embodiment of the present invention is to fill It is wherein in charging process on the left of Fig. 7 to SOC estimating algorithm for being verified in electricity or discharge process to SOC estimating algorithm Verification step, be the verification step in discharge process to SOC estimating algorithm on the right side of Fig. 7, method includes the following steps:
S1, OCV-SOC curve is measured and recorded
Wherein, the OCV-SOC curve refer to single battery open-circuit voltage (open circuit voltage,
OCV) with the relation curve of single battery state-of-charge SOC.
Specifically, in the present embodiment, OCV-SOC curve is obtained by following steps measurement:
1, by evaluation battery discharge to be verified to electric discharge by voltage;
2, constant-current charge is carried out with the first current value to evaluation battery to be verified, such as 0.2C, charge to end of charge voltage When switch to constant-voltage charge, during constant-voltage charge when current reduction to the second current value stop charging, utilize charging time, first Current value and the second current value counting cell charging capacity;
Battery capacity calculating method are as follows:
Q=∫ idt (1)
3, constant-current discharge is carried out with the second current value to evaluation battery to be verified, stands spy after releasing specific discharge electricity amount Determine time of repose, such as 2 hours, SOC value was equal to the difference of 100% with discharge electricity amount and the ratio of charging capacity at this time, electric at this time Pond end voltage is regarded as the corresponding OCV value of SOC value at this time;
4, repeat step 3, continue to battery carry out constant-current discharge experiment, release with stood after step 3 same charge it is identical Time successively records the corresponding OCV of different SOC values, until SOC stops when being 0;
5, OCV-SOC relation curve is established according to step 3,4 the data obtaineds, and is stored in open-circuit voltage memory module In.
S2, connectivity verification platform power carry out power-on self-test to battery pack;
Referring to Fig. 8, power-on self-test can be completed by following steps: 1, powering on battery pack connection;2, it is charged with 0.1C electric Stream carries out trickle charge;3, each single battery electric current, voltage, temperature information are detected;4, it estimates battery pack SOC matrix, remembers each list Body SOC value of battery is SOCij;5, each parallel branch SOC mean value, highest SOC difference and minimum SOC difference are calculated;If 6, mean value Higher than 50%, then discharge test is carried out, if mean value is lower than 50%, enters charging experiment;If 7, SOC difference is higher than preset value, It then also needs to carry out Balance route to battery pack in charge and discharge process.
S3, battery pack is connect with electric discharge device, and battery pack is put to empty electricity;Or battery pack and charging unit are connected It connects, and battery pack is charged to full electricity.
Wherein, by taking battery is charged to full electric process as an example: carrying out trickle charge extremely with the charging current of 0.1C to battery first End voltage is 3.0V;Secondly carrying out constant-current charge to end voltage to battery with the charging current of 1C is 4.1V;Finally to battery with The charging voltage of 4.1V, which carries out constant-voltage charge to charging, to be terminated.
S4, battery pack is connect to charging unit or electric discharge device and is opened control software, open SOC and estimate software;
S5, experiment or discharge test are charged the battery, real-time measurement simultaneously records cell voltage, electric current, temperature information.
Wherein, battery discharge test includes but is not limited to the United States Federal's city operations operating condition FUDS, ambulatory stress test work Condition DST, composite pulse power characteristic measurement condition HPPC.
Wherein, battery voltage information is made of 12 high-precision a/d converters in 16 channels, and each battery cell occupies it In a channel, gained information of voltage successively be passed to computer.
Wherein, battery temperature information is ± 0.2 DEG C by precision, the fast reaction thermoelectricity that working range is -80~120 DEG C The ancillary equipments such as even, 12 high-precision a/d converters in 16 channels and wire rod measure.Thermocouple is by the temperature signal of battery It is converted into voltage signal, voltage signal is converted to digital signal by A/D converter.Gained temperature information is successively passed to computer.
Wherein, battery bank branch current is carried out by ancillary equipments such as Hall element, 12 high-precision a/d converters and wire rods Measurement.The electric current for flowing through battery pack is converted voltage signal by sampling resistor, and voltage signal is converted to digital letter by A/D converter Number.Gained current information is passed to computer by data collecting card.
S6, SOC value is calculated using the SOC algorithm of evaluation to be verified, record algorithm operation time, committed memory are empty Between.
Wherein, the SOC value being calculated is stored in a SOC matrix, which can store each single battery and calculate The SOC value arrived, form are as follows:
Wherein, evaluation battery pack connection type to be verified is that m goes here and there n simultaneously.
Such as Fig. 8, in the present embodiment, Riming time of algorithm, memory usage can be obtained by following steps operation:
1, parameter initialization.Battery model parameter initialization needed for SOC is estimated, for SOC estimating algorithm provide operation according to According to.
2, the sampling period is set.Battery voltage, electric current, temperature information are passed to computer by some cycles and carry out SOC estimation, It is tested by estimation result to algorithm effect.
3, cell voltage, electric current, temperature information are read, remembers that the moment is Ti0
4, SOC algorithm is run, SOC value obtained by algorithm is obtained, remembers that the SOC value is SOCc
5, display calculates gained SOC value, remembers that the moment is Ti1
6, it is poor to calculate estimation surrounding time, runing time needed for remembering SOC of algorithm calculating to be verified is Ti, remember to be verified It is R that algorithm, which calculates memory headroom size occupied by a SOC,i
7, judgement tests whether to terminate.If test is not finished, repeatedly 3-6 continues into next sampling period to electricity Pond carries out charge and discharge, and SOC estimation is carried out in charge and discharge process.If test terminates, each cycle operation time is remembered and for T, Each period is averaged committed memory space size as R.
Such as Figure 10, by taking three branch circuit parallel connection battery packs as an example, in battery charge and discharge process, can by aforementioned active equalization or Passive balanced way carries out battery pack balanced.Equalization step are as follows: enter the balanced period;Battery pack SOC is obtained according to SOC algorithm Matrix;Temperature matrices are obtained according to data acquisition subsystem;Calculate the highest and lowest SOC difference of each parallel branch;If difference Equilibrium is needed within the equilibrium period lower than default then explanation higher than default and temperature, is not otherwise needed;According to current SOC matrix Switch control matrix is calculated, wherein 1, the 0 single battery equalizer switch for respectively representing the matrix corresponding position leads in matrix It is disconnected.
S7, stop charge or discharge, by battery standing two hours.
S8, SOC value is referred to according to OCV-SOC curve acquisition
Wherein, OCV-SOC curve is step S1 measurement record gained.It is SOC that note, which is looked into and refers to SOC value obtained by curve,r
S9, it compares to obtain estimating algorithm precision by SOC value obtained by algorithm and with reference to SOC value.
Wherein, remember algorithm to be verified with respect to estimation error be E.Then E can be calculated by following formula:
Wherein, excessive if error is calculated, such as calculating error message is exported more than 10%.
S9, the information such as arithmetic accuracy, operation time, shared memory headroom are summarized, provides algorithm superior and inferior evaluating.
Algorithm evaluation index may be expressed as:
G=f (E, T, R) (3)
Algorithm evaluation index can be configured according to different demands, for example, may be configured as linear weighting function:
G=k1E+k2T+k3R (4)
Wherein, k1、k2、k3The weighted factor of respectively three reference indexs can according to the actual situation be configured it. Such as it can be set as k herein1=0.6, k2=0.2, k3=0.2, it indicates under current evaluation criterion, SOC estimating algorithm precision is relatively transported It is even more important to calculate speed, occupied space size.
Wherein, calculate the direct parameter that gained G is evaluation algorithms superiority and inferiority, the parameter is smaller mean to calculate error it is lower, Runing time is shorter, occupied space is smaller, then institute's verification algorithm performance is better.
Change in addition, those skilled in the art can also make other according to the present invention to obtain other advantages, these foundations The variation that core concept of the present invention is done should be all included in protection scope of the presently claimed invention.

Claims (10)

1. a kind of verifying evaluation method of battery SOC estimating algorithm, it is characterised in that:
The OCV-SOC curve of battery is stored in advance, the OCV-SOC curve is open-circuit voltage and the corresponding relationship curve of SOC;
Battery is put to empty electricity, or battery is charged to full electricity;
It charges the battery or discharges, real-time measurement and the voltage, electric current, temperature for recording battery;
SOC value of battery is calculated using the SOC algorithm of evaluation to be verified, the SOC algorithm operation time is recorded and committed memory is empty Between;
Suspend battery charge or discharge process, battery is placed 2 hours;
It is obtained according to present battery open-circuit voltage and pre-stored OCV-SOC relation curve and refers to SOC value;
The SOC value of battery that the SOC algorithm of evaluation to be verified calculates is compared with described with reference to SOC value, determines to be verified comment The SOC estimating algorithm precision of valence;
Superiority and inferiority is carried out based on the SOC algorithm of the committed memory space, operation time and arithmetic accuracy to the evaluation to be verified Evaluation.
2. verifying evaluation method as described in claim 1, it is characterised in that:
The OCV-SOC curve is obtained by following steps measurement:
(1), by evaluation battery discharge to be verified to electric discharge by voltage;
(2), constant-current charge is carried out with the first current value to evaluation battery to be verified, switchs to constant pressure when charging to end of charge voltage Charging stops charging during constant-voltage charge when current reduction to the second current value, utilize charging time, the first current value and the Two current value counting cell charging capacity;
(3), constant-current discharge is carried out with the second current value to evaluation battery to be verified, is stood after the first discharge electricity amount of releasing specific quiet It sets the time, SOC value is equal to the difference of 100% with the ratio of the first discharge electricity amount and charging capacity at this time, at this time battery-end Voltage is regarded as the corresponding OCV value of SOC value at this time;
(4), step 3 is repeated, continues to carry out constant-current discharge with the second current value to evaluation battery to be verified, release and step (3) The identical specific time of repose is stood after identical first discharge electricity amount, successively records the corresponding OCV of different SOC values, directly To SOC be 0 when stop;
(5), OCV-SOC relation curve is established according to step 3,4 the data obtaineds.
3. a kind of device using verifying evaluation method as claimed in claim 1 or 2, characterized by comprising:
Battery mounting box (100) with battery core;
Voltage, electric current and temperature acquisition in battery charge and discharge process is transmitted to automatically controlled list by data acquisition subsystem (200) Member;
Electronic control unit (300) runs the SOC value of battery that the SOC algorithm of evaluation to be verified calculates;
Battery charging and discharging subsystem (400) carries out charge and discharge control to battery.
4. device as claimed in claim 3, it is characterised in that: the battery charging and discharging subsystem includes battery charger (410) and to towed discharging device (420).
5. device as claimed in claim 4, it is characterised in that: the battery charger includes rectification circuit (411), filtering Circuit (412), charge control module (413) and battery connecting interface, the rectification circuit can turn power supply grid alternating current Direct current is turned to, is charged the battery after filter circuit filters by charge control module control.
6. device as claimed in claim 4, it is characterised in that: described includes driving motor to towed discharging device (423), load motor (424), torque sensor (425) and motor fixing seat (426), the load motor and driving motor are logical It crosses mechanical device to be connected, the various operating conditions that the load motor simulation electric car encounters during actual form.
7. device as claimed in claim 6, it is characterised in that: the operating condition includes but is not limited to the United States Federal's city operations work The one or more of condition FUDS, ambulatory stress test operating condition DST and composite pulse power characteristic measurement condition HPPC.
8. device as claimed in claim 3, it is characterised in that: the electronic control unit includes SOC estimation block (320), is calculated SOC value of battery, the SOC estimation block are run in computer;
Open-circuit voltage memory module (330) stores the OCV-SOC curve.
9. device as claimed in claim 3, it is characterised in that: described device further includes cell operating conditions control subsystem (500), the battery context control subsystem is insulating box or constant humidity cabinet.
10. verifying evaluation method as claimed in claim 1 or 2, the battery is monomer lithium-ion electric core or by several monomers Battery pack made of battery core is series-parallel.
CN201810598112.XA 2018-06-12 2018-06-12 Verification and evaluation method and device for battery SOC estimation algorithm Active CN109061477B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810598112.XA CN109061477B (en) 2018-06-12 2018-06-12 Verification and evaluation method and device for battery SOC estimation algorithm

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810598112.XA CN109061477B (en) 2018-06-12 2018-06-12 Verification and evaluation method and device for battery SOC estimation algorithm

Publications (2)

Publication Number Publication Date
CN109061477A true CN109061477A (en) 2018-12-21
CN109061477B CN109061477B (en) 2021-03-26

Family

ID=64820205

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810598112.XA Active CN109061477B (en) 2018-06-12 2018-06-12 Verification and evaluation method and device for battery SOC estimation algorithm

Country Status (1)

Country Link
CN (1) CN109061477B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110865307A (en) * 2019-11-14 2020-03-06 上海电力大学 Battery module complementary energy detection method
CN110988721A (en) * 2019-11-25 2020-04-10 安徽绿沃循环能源科技有限公司 SOC precision detection method for lithium battery pack software protection board
CN111244568A (en) * 2020-01-10 2020-06-05 西安建筑科技大学 Real-time refrigerating capacity calculation method and control method for liquid cooling system of power battery of electric automobile
CN111487537A (en) * 2020-05-29 2020-08-04 重庆金康新能源汽车有限公司 Method and system for modifying state of charge estimation
CN111628535A (en) * 2019-02-28 2020-09-04 清华大学深圳研究生院 Battery module balance control method and device
CN112180259A (en) * 2020-08-21 2021-01-05 湖南大学 Lithium ion battery parameter fitting method based on genetic algorithm
WO2021136419A1 (en) * 2019-12-30 2021-07-08 杭州海康机器人技术有限公司 Soc estimation accuracy determination method, device, and storage medium
CN113466697A (en) * 2021-06-10 2021-10-01 深圳拓邦股份有限公司 SOC estimation method of battery, computer terminal and storage medium
WO2023088163A1 (en) * 2021-11-16 2023-05-25 宇通客车股份有限公司 New energy vehicle, and anomaly monitoring and diagnosis method and device for battery system soc of new energy vehicle

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102156265A (en) * 2011-03-16 2011-08-17 深圳市派司德科技有限公司 Device and method for testing health state of battery
WO2014115294A1 (en) * 2013-01-25 2014-07-31 日立ビークルエナジー株式会社 Battery control device, battery system
CN205787041U (en) * 2016-05-27 2016-12-07 郑州精益达汽车零部件有限公司 The test checking system of new-energy automobile power battery SOC estimation strategy
CN106646261A (en) * 2017-01-03 2017-05-10 重庆长安汽车股份有限公司 Accuracy verification method and accuracy verification system for SOC of battery management system
CN107422289A (en) * 2017-08-01 2017-12-01 深圳市沃特玛电池有限公司 A kind of the battery bag SOC estimation precision method of inspection and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102156265A (en) * 2011-03-16 2011-08-17 深圳市派司德科技有限公司 Device and method for testing health state of battery
WO2014115294A1 (en) * 2013-01-25 2014-07-31 日立ビークルエナジー株式会社 Battery control device, battery system
CN205787041U (en) * 2016-05-27 2016-12-07 郑州精益达汽车零部件有限公司 The test checking system of new-energy automobile power battery SOC estimation strategy
CN106646261A (en) * 2017-01-03 2017-05-10 重庆长安汽车股份有限公司 Accuracy verification method and accuracy verification system for SOC of battery management system
CN107422289A (en) * 2017-08-01 2017-12-01 深圳市沃特玛电池有限公司 A kind of the battery bag SOC estimation precision method of inspection and system

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111628535A (en) * 2019-02-28 2020-09-04 清华大学深圳研究生院 Battery module balance control method and device
CN110865307B (en) * 2019-11-14 2022-06-07 上海电力大学 Battery module complementary energy detection method
CN110865307A (en) * 2019-11-14 2020-03-06 上海电力大学 Battery module complementary energy detection method
CN110988721A (en) * 2019-11-25 2020-04-10 安徽绿沃循环能源科技有限公司 SOC precision detection method for lithium battery pack software protection board
WO2021136419A1 (en) * 2019-12-30 2021-07-08 杭州海康机器人技术有限公司 Soc estimation accuracy determination method, device, and storage medium
CN111244568A (en) * 2020-01-10 2020-06-05 西安建筑科技大学 Real-time refrigerating capacity calculation method and control method for liquid cooling system of power battery of electric automobile
CN111244568B (en) * 2020-01-10 2022-10-18 西安建筑科技大学 Real-time refrigerating capacity calculation method and control method for liquid cooling system of power battery of electric automobile
CN111487537A (en) * 2020-05-29 2020-08-04 重庆金康新能源汽车有限公司 Method and system for modifying state of charge estimation
CN111487537B (en) * 2020-05-29 2022-05-27 重庆金康新能源汽车有限公司 Method and system for modifying state of charge estimation
CN112180259A (en) * 2020-08-21 2021-01-05 湖南大学 Lithium ion battery parameter fitting method based on genetic algorithm
CN113466697A (en) * 2021-06-10 2021-10-01 深圳拓邦股份有限公司 SOC estimation method of battery, computer terminal and storage medium
CN113466697B (en) * 2021-06-10 2024-02-27 深圳拓邦股份有限公司 SOC estimation method for battery, computer terminal and storage medium
WO2023088163A1 (en) * 2021-11-16 2023-05-25 宇通客车股份有限公司 New energy vehicle, and anomaly monitoring and diagnosis method and device for battery system soc of new energy vehicle

Also Published As

Publication number Publication date
CN109061477B (en) 2021-03-26

Similar Documents

Publication Publication Date Title
CN109061477A (en) A kind of the verifying evaluation method and device of battery SOC estimating algorithm
CN106026260B (en) A kind of series winding battery pack SOC estimation method with equalizing circuit
CN105607004B (en) A kind of lithium ion battery packet health state evaluation method and system
CN102169167B (en) Device and method for detecting calculation accuracy of state of charge (SOC) of battery pack
CN107492917B (en) Electric quantity balancing method, battery management system and the power electric car of power battery
CN101359036B (en) Method for measuring state of charge of battery
CN104977545B (en) The state-of-charge method of estimation and system of a kind of electrokinetic cell
CN103091642B (en) Lithium battery capacity rapid estimation method
CN104485474B (en) Electric vehicle battery pack matching method based on coincidence indicator
CN106483462B (en) A kind of measurement method and device of battery charge
CN106842056B (en) Power battery peak power estimation method based on two-step on-line intelligence optimization algorithm
CN103454590B (en) Assess method, charged state apparatus for evaluating, the battery pack of battery state of charge
CN107015156A (en) A kind of cell health state detection method and device
CN106655408B (en) Battery pack balancing control method and control device
CN104422917A (en) In-range current sensor fault detection
CN104198795B (en) Vehicle power system open-circuit voltage detection method, power system and vehicle
CN107176043A (en) Power capacity for vehicle battery system is estimated
CN109004696A (en) A kind of substation battery multifunction control system and its control method
CN108427092A (en) A kind of off-board DC charging motor direct current energy meter in-line calibration System and method for of electric vehicle
CN109991554A (en) A kind of battery electricity detection method, device and terminal device
CN106443472A (en) Novel electric automobile power battery SOC estimation method
CN110146823A (en) A kind of series-connected cell group SOC estimation method based on information fusion
CN103278777A (en) Method for estimating health status of lithium battery on basis of dynamic Bayesian network
CN104865533B (en) Vehicle power SOC High-precision display methods
CN106100009A (en) The monitoring voltage of multiple battery modules

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant