CN106526495A - Battery pack SOC evaluation method and battery pack SOC evaluation system - Google Patents

Battery pack SOC evaluation method and battery pack SOC evaluation system Download PDF

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Publication number
CN106526495A
CN106526495A CN201611059473.4A CN201611059473A CN106526495A CN 106526495 A CN106526495 A CN 106526495A CN 201611059473 A CN201611059473 A CN 201611059473A CN 106526495 A CN106526495 A CN 106526495A
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China
Prior art keywords
soc
battery bag
cell
voltage
capacity
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Pending
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CN201611059473.4A
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Chinese (zh)
Inventor
孔满
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Shenzhen Anding New Energy Technology Development Co., Ltd.
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Shenzhen OptimumNano Energy Co Ltd
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Priority to CN201611059473.4A priority Critical patent/CN106526495A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3842Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)

Abstract

The invention provides a battery pack SOC evaluation method and a battery pack SOC evaluation system, which are applied to electric car for estimating SOC of a battery pack. The battery pack comprises a plurality of battery cells. The battery pack SOC evaluation method includes the steps of real-time acquiring the voltage and total current of the battery cells, comparing the voltages of the plurality of battery cells to obtain the battery cell with the highest voltage and the battery cell with the lowest voltage, determining whether the battery pack is under a constant current charging state, estimating the capacity of the battery cell with the highest voltage and the capacity of the battery cell with the lowest voltage, if the battery pack is under a constant current charging state, estimating the SOC of the battery cell with the highest voltage and the SOC of the battery cell with the lowest voltage, and estimating the SOC of the battery pack. The battery pack SOC estimation method provided by the present invention can estimate a battery pack SOC with a high accuracy when battery cells are poorly consistent. The present invention also provides a battery pack SOC estimation system.

Description

Battery bag SOC estimation method and battery bag SOC estimating system
【Technical field】
The present invention relates to cell management system of electric automobile field, more particularly to a kind of battery bag SOC estimation method and Battery bag SOC estimating system.
【Background technology】
The accurate estimation of battery charge state (State of Charge, SOC) be batteries of electric automobile charge and discharge control and The important evidence of Dynamic Optimum management, directly affects the service life of battery and the power performance of automobile, and can predict electronic vapour The continual mileage of car.The battery bag of electric automobile generally includes some cells output larger to meet electric automobile And distance travelled farther out.
The SOC estimation method of existing battery bag is estimating or adopt using the cell of minimum voltage in battery bag Estimated with the average voltage of battery bag.However, for the former is in battery bag charging process, when ceiling voltage in battery bag When cell reaches charge cutoff voltage, the SOC of battery bag does not also reach 100%, and then cannot ensure that battery bag is being filled SOC precision in electric process.For the latter due to battery bag in some cells with the use of battery bag and by outer The impact of boundary's environment, the concordance of some cells can be deteriorated, and then cause average voltage also ensure battery bag charge and discharge SOC precision when electric.
In consideration of it, it is real be necessary to provide a kind of new battery bag SOC estimation method and battery bag SOC estimating system with gram Take drawbacks described above.
【The content of the invention】
It is an object of the invention to provide a kind of battery bag SOC estimation method and battery bag SOC estimating system, the battery The SOC estimation method battery bag SOC estimating system of bag can be estimated in the case where the concordance of some cells is bad Higher battery bag SOC of precision.
To achieve these goals, the present invention provides a kind of battery bag SOC estimation method, and which is used in being applied to electric automobile In the SOC of estimation battery bag;The battery bag includes some battery cells;The battery bag SOC estimation method includes following step Suddenly:
The voltage of some cells and total current described in Real-time Collection;
The voltage of some cells is compared to obtain ceiling voltage cell and minimum voltage list Body battery;
Judge whether the battery bag is constant-current charge state;If the battery bag is constant-current charge state, estimation is described The capacity of the capacity and minimum voltage cell of ceiling voltage cell;
Estimate the SOC of the SOC and minimum voltage cell of the ceiling voltage cell;
Estimate the SOC of the battery bag.
The present invention also provides a kind of battery bag SOC estimating system, and which is used for estimating battery bag in being applied to electric automobile SOC;The battery bag includes some battery cells;The battery bag SOC estimating system includes acquisition module, comparison module, sentences Disconnected module and computing module;The acquisition module is used for the voltage of some cells and total current described in Real-time Collection; The comparison module is for being compared to obtain ceiling voltage cell and most to the voltage of some cells Low-voltage cell;The judge module is used for judging whether the battery bag is constant-current charge state;If the battery bag For constant-current charge state, then computations is produced;The computing module be used for receiving the computations estimate successively it is described most The capacity of the capacity and minimum voltage cell of high voltage cell, the SOC of the ceiling voltage cell and most The SOC of the SOC of low-voltage cell and the battery bag.
Battery bag SOC estimation method and battery bag SOC estimating system that the present invention is provided, by estimating highest electricity respectively The capacity of pressure cell, the SOC of ceiling voltage cell, the capacity of minimum voltage cell and minimum voltage monomer The SOC of battery, then again according to the data obtained estimating the SOC of battery bag, ensure that the one of some cells Remain to estimate higher battery bag SOC of precision in the case that cause property is bad.
【Description of the drawings】
The functional block diagram of the battery bag SOC estimating system that Fig. 1 is provided for the present invention.
The flow chart of the battery bag SOC estimation method that Fig. 2 is provided for the present invention.
【Specific embodiment】
In order that the purpose of the present invention, technical scheme and Advantageous Effects become apparent from understanding, below in conjunction with accompanying drawing and Specific embodiment, the present invention will be described in further detail.It should be appreciated that being embodied as described in this specification Mode is not intended to limit the present invention just for the sake of explaining the present invention.
Referring again to Fig. 1, which is the functional block diagram of the battery bag SOC estimating system provided in the embodiment of the present invention.Electricity Pond is wrapped during SOC estimating systems 100 are applied to electric automobile to be used for estimating the SOC of battery bag.Further, the battery bag includes Some cells.In the present embodiment, the cell is cylindrical ferric phosphate lithium cell.Specifically, the battery Bag SOC estimating systems 100 include acquisition module 10, comparison module 20, judge module 30 and computing module 40.It is appreciated that Ground, above-mentioned each functional module can be stored in form of software programs in the memorizer of the electric automobile, alternatively with spy Determine the hardware of function, for example, burning has the chip of particular software application.
Above-mentioned each functional module is described in detail with reference to Fig. 2.
As shown in Fig. 2 which is the flow chart of battery bag SOC estimation method in the embodiment of the present invention.It should be noted that, this The method of invention is not limited to the order of following step, and in other embodiment, the method for the present invention can only include following A portion of the step, or part steps therein can be deleted.
S01, the acquisition module 10 are used for the voltage of some cells and total current described in Real-time Collection.In this reality Apply in mode, the acquisition module 10 is the collection plate in battery management system.
S02, the comparison module 20 is for being compared to obtain ceiling voltage to the voltage of some cells Cell and minimum voltage cell.In the present embodiment, the comparison module 20 adopts comparison method one by one to institute The voltage for stating some cells is compared one by one.
S03, the judge module 30 are used for judging whether the battery bag is constant-current charge state.If the battery bag is Constant-current charge state, then produce computations and enter step S04;If the battery bag is not on constant-current charge state, Continue to judge.
S04, the computing module 40 start to estimate the ceiling voltage cell for receiving the computations The capacity of capacity and minimum voltage cell.
In the present embodiment, the computing module 40 estimates ceiling voltage monomer electricity using capacity increment method (ICA) The capacity of the capacity and minimum voltage cell in pond.Under constant current state, determined by the self-characteristic of the cell, In fixed SOC points, the cell absorption charge capability is most strong, i.e. identical voltage spaces, fills in the case of battery constant current The electricity entered is most, and these characteristic points do not change with the change of the aging and rate of charge of the cell.Cause This, in the present embodiment, updates the capacity and the minimum electricity of the ceiling voltage cell using capacity increment method The capacity of pressure cell.
Specifically, the formula adopted by the capacity increment method is as shown in Equation 1:
Wherein, Soc1And Soc2For two characteristic points of the SOC of the cell, the feature of described two characteristic points is Two peak values of the relative quantity of electric charge being charged into during change in voltage 1mv of the cell described in charging process.It is appreciated that Described two characteristic points can be obtained by laboratory method, for example, detect the list during the battery bag charges The charging current of body battery and voltage, so that detect the characteristic point of the cell.Further, by recording described two The quantity of electric charge being charged between individual characteristic point, so that estimate the capacity of the cell.
S05, the computing module 40 are additionally operable to estimate the SOC and minimum voltage monomer of the ceiling voltage cell The SOC of battery.In the present embodiment, the computing module 40 is according to the output current of the battery bag, temperature and the list The voltage of body battery, and using Kalman filtering algorithm estimating the SOC of the ceiling voltage cell and described minimum The SOC of voltage cell.
S06, further, the computing module 40 is additionally operable to estimate the SOC of the battery bag.
Specifically, as the SOC of the cell is defined as:The remaining active volume of battery than upper battery it is actual most Big active volume, as shown in Equation 2:
And the active volume of the battery bag is determined by the minimum voltage cell;The actual maximum of the battery bag Active volume is determined by the ceiling voltage cell and the minimum voltage cell.Therefore, the battery bag The estimation of SOC can carry out according to the definition of the cell SOC, as shown in Equation 3:
Further, corresponding abbreviation is made in the SOC definition further according to the battery bag, by minimum voltage monomer electricity The active volume in pond is defined as the active volume of the battery bag;Filled capacity definition by the ceiling voltage cell is The filled capacity of the battery bag, and the maximum available of the battery bag is the active volume of the battery bag and can fill Capacity sum.Therefore, the SOC estimation equations of the battery bag are drawn as shown in Equation 4:
Wherein, LCap represents the capacity of minimum voltage cell;LSoc represents the SOC of minimum voltage cell; HCap represents the capacity of ceiling voltage cell;The SOC of HSoc ceiling voltage cells.
Battery bag SOC estimation method provided by the present invention and battery bag SOC estimating system, by estimating highest respectively The capacity of voltage cell, the SOC of ceiling voltage cell, the capacity of minimum voltage cell and minimum voltage list The SOC of body battery, then again according to the data obtained estimating the SOC of battery bag, ensure that in some cells Remain to estimate higher battery bag SOC of precision in the case that concordance is bad.
The present invention is not restricted to described in description and embodiment, therefore for the personnel of familiar field Additional advantage and modification is easily achieved, therefore in the essence of the general concept limited without departing substantially from claim and equivalency range In the case of god and scope, the present invention is not limited to specific details, representational equipment and shown here as the diagram with description Example.

Claims (10)

1. a kind of battery bag SOC estimation method, which is applied in electric automobile for estimating the SOC of battery bag;The battery bag Including some battery cells;It is characterized in that:The battery bag SOC estimation method comprises the steps:
The voltage of some cells and total current described in Real-time Collection;
The voltage of some cells is compared to obtain ceiling voltage cell and minimum voltage monomer electricity Pond;
Judge whether the battery bag is constant-current charge state;If the battery bag is constant-current charge state, the highest is estimated The capacity of the capacity and minimum voltage cell of voltage cell;
Estimate the SOC of the SOC and minimum voltage cell of the ceiling voltage cell;
Estimate the SOC of the battery bag.
2. battery bag SOC estimation method as claimed in claim 1, it is characterised in that:Highest is estimated using capacity increment method The capacity of the capacity and minimum voltage cell of voltage cell.
3. battery bag SOC estimation method as claimed in claim 2, it is characterised in that:The public affairs adopted by the capacity increment method Formula isWherein, Soc1And Soc2For two features of the SOC of the cell Point is relative when the feature of described two characteristic points is change in voltage 1mv of the cell described in charging process to be charged into Two peak values of the quantity of electric charge.
4. battery bag SOC estimation method as claimed in claim 2, it is characterised in that:According to the output current of the battery bag, The voltage of the temperature of the battery bag and the cell, and using Kalman filtering algorithm estimating the ceiling voltage list The SOC of the SOC of body battery and the minimum voltage cell.
5. battery bag SOC estimation method as claimed in claim 4, it is characterised in that:Estimate the formula of the SOC of the battery bag ForWherein, LCap represents the capacity of minimum voltage cell;LSoc Represent the SOC of minimum voltage cell;HCap represents the capacity of ceiling voltage cell;HSoc ceiling voltage cells SOC.
6. a kind of battery bag SOC estimating system, which is applied in electric automobile for estimating the SOC of battery bag;The battery bag Including some battery cells;It is characterized in that:The battery bag SOC estimating system includes acquisition module, comparison module, judges mould Block and computing module;The acquisition module is used for the voltage of some cells and total current described in Real-time Collection;It is described Comparison module is for being compared to obtain ceiling voltage cell and minimum electricity to the voltage of some cells Pressure cell;The judge module is used for judging whether the battery bag is constant-current charge state;If the battery bag is perseverance Current charge state, then produce computations;The computing module estimates the highest electricity successively for receiving the computations The capacity of the capacity and minimum voltage cell of pressure cell, the SOC of the ceiling voltage cell and minimum electricity The SOC of the SOC of pressure cell and the battery bag.
7. battery bag SOC estimating system as claimed in claim 6, it is characterised in that:The computing module adopts capacity increment Method is estimating the capacity of the capacity and minimum voltage cell of ceiling voltage cell.
8. battery bag SOC estimating system as claimed in claim 7, it is characterised in that:The public affairs adopted by the capacity increment method Formula isWherein, Soc1And Soc2For two features of the SOC of the cell Point is relative when the feature of described two characteristic points is change in voltage 1mv of the cell described in charging process to be charged into Two peak values of the quantity of electric charge.
9. battery bag SOC estimating system as claimed in claim 7, it is characterised in that:The computing module is additionally operable to according to institute The voltage of the output current, the temperature of the battery bag and the cell of battery bag is stated, and uses Kalman filtering algorithm To estimate the SOC of the SOC and the minimum voltage cell of the ceiling voltage cell.
10. battery bag SOC estimating system as claimed in claim 9, it is characterised in that:The computing module adopts formulaTo estimate the SOC of the battery bag, wherein, LCap represents minimum voltage The capacity of cell;LSoc represents the SOC of minimum voltage cell;HCap represents the capacity of ceiling voltage cell; The SOC of HSoc ceiling voltage cells.
CN201611059473.4A 2016-11-22 2016-11-22 Battery pack SOC evaluation method and battery pack SOC evaluation system Pending CN106526495A (en)

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Cited By (7)

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Publication number Priority date Publication date Assignee Title
CN107340479A (en) * 2017-06-16 2017-11-10 山东大学 A kind of method and system for improving electric automobile power battery SOC computational accuracies
CN108248427A (en) * 2018-01-15 2018-07-06 上海中科深江电动车辆有限公司 The method of dynamic corrections SOC errors
CN108663620A (en) * 2017-03-29 2018-10-16 比亚迪股份有限公司 A kind of power battery pack charge state estimation method and system
CN108693483A (en) * 2018-07-18 2018-10-23 深圳汽航院科技有限公司 A kind of computational methods and system of battery pack state-of-charge
CN109946616A (en) * 2019-04-26 2019-06-28 厦门金龙联合汽车工业有限公司 A kind of evaluation method of lithium iron phosphate battery system capacity inequality extent
EP3667345A1 (en) * 2018-12-12 2020-06-17 Commissariat à l'Energie Atomique et aux Energies Alternatives Method for determining the state of health of the cells of a battery
CN111653851A (en) * 2020-04-30 2020-09-11 安徽沃博源科技有限公司 Battery pack convenient for heat transfer calculation

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CN104303064A (en) * 2012-05-11 2015-01-21 雷诺两合公司 Estimating the state of charge of a battery
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WO2011079977A3 (en) * 2009-12-18 2012-01-19 Sb Limotive Company Ltd. Method for determining the charge state of a battery pack
US20120330503A1 (en) * 2009-12-18 2012-12-27 Robert Bosch Gmbh Method for Determining the Charge State of a Battery Pack
CN102645636A (en) * 2012-04-19 2012-08-22 北京优科利尔能源设备有限公司 Battery capacity detection method
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108663620A (en) * 2017-03-29 2018-10-16 比亚迪股份有限公司 A kind of power battery pack charge state estimation method and system
CN107340479A (en) * 2017-06-16 2017-11-10 山东大学 A kind of method and system for improving electric automobile power battery SOC computational accuracies
CN108248427A (en) * 2018-01-15 2018-07-06 上海中科深江电动车辆有限公司 The method of dynamic corrections SOC errors
CN108693483A (en) * 2018-07-18 2018-10-23 深圳汽航院科技有限公司 A kind of computational methods and system of battery pack state-of-charge
EP3667345A1 (en) * 2018-12-12 2020-06-17 Commissariat à l'Energie Atomique et aux Energies Alternatives Method for determining the state of health of the cells of a battery
FR3090115A1 (en) * 2018-12-12 2020-06-19 Commissariat A L'energie Atomique Et Aux Energies Alternatives Method for determining the state of health of the cells of a battery
CN109946616A (en) * 2019-04-26 2019-06-28 厦门金龙联合汽车工业有限公司 A kind of evaluation method of lithium iron phosphate battery system capacity inequality extent
CN111653851A (en) * 2020-04-30 2020-09-11 安徽沃博源科技有限公司 Battery pack convenient for heat transfer calculation

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Address after: 518000 Shenyu Science and Technology Park, No. 68 Lanjingbei Road, Laokeng Community, Longtian Street, Pingshan District, Shenzhen City, Guangdong Province, 101

Applicant after: Shenzhen Anding New Energy Technology Development Co., Ltd.

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