CN103823184B - The battery nominal capacity presumption method that intelligent battery sensor and utilization are calculated repeatedly - Google Patents
The battery nominal capacity presumption method that intelligent battery sensor and utilization are calculated repeatedly Download PDFInfo
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- CN103823184B CN103823184B CN201310380504.6A CN201310380504A CN103823184B CN 103823184 B CN103823184 B CN 103823184B CN 201310380504 A CN201310380504 A CN 201310380504A CN 103823184 B CN103823184 B CN 103823184B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/0038—Circuits for comparing several input signals and for indicating the result of this comparison, e.g. equal, different, greater, smaller (comparing pulses or pulse trains according to amplitude)
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
- G01R19/16538—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
- G01R19/16542—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies for batteries
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
- G01R19/16561—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in hand-held circuit testers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3828—Arrangements for monitoring battery or accumulator variables, e.g. SoC using current integration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The present invention discloses intelligent battery sensor and the method for estimating nominal capacity in intelligent battery sensor.Battery nominal capacity presumption method according to an aspect of the present invention, including：In 1st stage, between Vehicular battery stabilized 1st time point and the 2nd time point, the 1st charged state variable quantity of the magnitude of current of the charge or discharge of the battery of accumulation is calculated according to the operation of vehicle（Referred to as, 1SOC variable quantities）；In 2nd stage, at the 1st time point and the 2nd time point, calculate the 2nd charged state variable quantity of the open loop voltage differences according to the battery two ends（Referred to as, 2SOC variable quantities）；3rd stage, by the difference of the 1SOC variable quantities and the 2SOC variable quantities（Referred to as, variable quantity difference）It is compared with having set critical error value, the nominal capacity of the battery is estimated according to comparative result.
Description
Technical field
The side of the nominal capacity of battery is estimated the present invention relates to intelligent battery sensor and in intelligent battery sensor
Method, is the technology for being directed to use with the nominal capacity of calculation battery repeatedly in particular.
Background technology
The function in battery sensor is there is presently provided, including：Voltage measurement function, measures battery both end voltage；Electric current is surveyed
Function is measured, the input and output electric current of battery is measured；Temperature measurement function, in order to predict internal temperature of battery, measures battery circumferential
Temperature etc..Then there is provided including：SOC (State Of Charge) (%), shows battery charging state；SOH (%), shows battery
State；SOF (%), shows the value of cell voltage DROP predicted voltages etc. during starting.
At this moment, SOC (%), SOH (%), SOF (%) etc., are the values measured on the basis of the battery capacity installed now, in order to
Preparation changes the self-adaptation (SELF- for the battery capacity installed now there is provided prediction as changed the battery capacity of battery
ADAPTATION) system.
According to the self-adaptation logic for being provided in existing battery sensor, held using battery internal resistance value prediction battery
Amount.But, when measuring the internal resistance value of battery, with the layout restriction condition of vehicle, being can not be according to the internal resistance of electric wire
The correct value of value measurement.Due to the very small situation different in battery capacity of battery internal resistance value, with similar inside electricity
The situation of resistance, exists and is difficult to judge the self judgment for actual battery capacity.
Such case, battery sensor can false judgment battery nominal capacity, wrongheaded nominal capacity also can be
The SOC of display battery charging state, which is calculated, causes error.According to this, it is possible to decrease vehicle combustion ratio, and in ISG (Idle Stop ＆
Go) entry condition can also produce false judgment.
The content of the invention
（The technical problem to be solved）
The present invention is proposed as from technical background as described above, and it provides purpose and is, by calculating repeatedly, just
The method for really estimating battery nominal capacity.
（The means solved the problems, such as）
To solve the above problems, battery nominal capacity presumption method according to an aspect of the present invention, including：1st stage,
Between Vehicular battery stabilized 1st time point and the 2nd time point, according to vehicle run calculate accumulation the battery charging or
1st charged state variable quantity of the magnitude of current of electric discharge（Referred to as, 1SOC variable quantities）；2nd stage, the 1st time point with
2nd time point, calculate the 2nd charged state variable quantity of the open loop voltage differences according to the battery two ends（Referred to as,
2SOC variable quantities）；3rd stage, the difference that the 1SOC variable quantities and the 2SOC are changed（Referred to as, variable quantity is poor
It is different）It is compared with having set critical error value, the nominal capacity of the battery is estimated according to comparative result.
In addition, in one embodiment of this invention, the 1st stage, including：Calculate the internal resistance of the battery
(Rdi) stage；The internal resistance of calculating is compared with having set internal resistance-battery nominal capacity relation table, extracted
It is matched with the stage of the battery nominal capacity value (CNOM) of the internal resistance；According to following mathematical expression 1, the described of accumulation is calculated
The stage of the 1SOC variable quantities of the magnitude of current of battery charge or discharge.
Mathematical expression 1
ΔSOC1：1SOC variable quantities, Current：The magnitude of current of charge or discharge, CNOM：Nominal capacity value
In addition, in one embodiment of this invention, the 2nd stage, including：At the 1st time point, the electricity is measured
The open loop voltage at pond two ends（Referred to as, 1OCV (Open Circuit Voltage, open-circuit voltage)）Stage；Will be described
1OCV is compared with having set open loop voltage-battery charging state relation table, and extraction is matched with the 1OCV's
The stage of 1st battery charging state value；At the 2nd time point, the open loop voltage at the battery two ends is measured（Referred to as,
2OCV）Stage；The 2OCV is compared with the open loop voltage-battery charging state relation table, extracted
It is matched with the stage of the 2nd battery charging state value of the 2OCV；Ask the 1st battery charging state value and the described 2nd electricity
The difference of pond state-of-charge value, calculates the stage of the 2SOC variable quantities.
In addition, in one embodiment of this invention, the 3rd stage, including：Comparative result is, the variable quantity difference
Situation below the critical error, the nominal capacity value (CNOM) extracted in the 1st stage is estimated as the electricity
The stage of the nominal capacity in pond；Comparative result is that the difference of the variable quantity exceedes the situation of the critical error, in the mark
Claim capability value (CNOM) the arbitrary value that plus-minus has been set, the stage in the 1st to the 3rd stage is performed repeatedly.
In addition, the stage performed repeatedly, including：The result for performing the 1st to the 3rd stage repeatedly is, repeatedly institute
The number of times in the 1st to the 3rd stage is stated, in the plus-minus value being arbitrarily worth of the nominal capacity value (CNOM), is become until described
Change amount difference meets the condition below the critical error, is estimated as the stage of the nominal capacity of the battery.
The problem of to solve above-mentioned, intelligent battery sensor according to other aspects of the invention, including：Program, be
Control measurement battery both end voltage, measurement battery output input current, measurement internal temperature of battery, calculate battery and nominally hold
Amount；Memory, in order to calculate described program and the battery nominal capacity, preserves defined parameter；The processing of at least one
Device, based on described program, estimates the nominal capacity of battery.
Herein, described program, including：1st order language, at Vehicular battery stabilized 1st time point and the 2nd time point
Between, the 1st charged state variable quantity of the magnitude of current for the battery charge or discharge for calculating accumulation is run according to vehicle；2nd
Order language, at the 1st time point and the 2nd time point, calculates the difference of the open loop voltage according to the battery two ends
The 2nd different charged state variable quantity；3rd order language, by the difference of the 1SOC variable quantities and the 2SOC variable quantities（Claim
For variable quantity difference）It is compared with having set critical error value, the nominal capacity of the battery is estimated according to comparative result.
On the other hand, battery nominal capacity presumption method according to an aspect of the present invention is realized in order to be able in computer
The program of implementation, can be stored in the record media that can be understood with computer.
（The effect of invention）
According to the present invention, battery internal resistance value is not only, at open battery two ends using the magnitude of voltage at two ends, is led to
The nominal capacity of calculation battery repeatedly is crossed, and then there is the degree of accuracy for improving presumption.
Brief description of the drawings
Fig. 1 and Fig. 2 are according to embodiments of the present invention, it is illustrated that battery nominal capacity estimates the flow chart of method.
Fig. 3 is according to other embodiments of the present invention, it is illustrated that the block diagram of the Inner Constitution of intelligent battery sensor.
Embodiment
Referring to the drawings together with the embodiment being described in detail later, specify advantages and features of the invention and reach its method.
But, the present invention is not limited in embodiments disclosed below, but can be embodied with mutually different variform, this reality
Apply example to be merely provided for making disclosure of the invention more complete, those skilled in the art is managed completely
Scope of the invention is solved, the present invention is only defined by the category of claim.On the other hand, the use used in this manual
Language is in order to illustrate embodiment, rather than in order to limit the present invention.In this specification, odd number shape sentence when not referring to especially
Also plural shape is included." including (comprises) " for using in the description and/or " including (comprising) " is referred to
Constitute component, stage, action and/or component, however not excluded that more than one other constitute components, stage, action and/or component
In the presence of or it is additional.
Referring to the drawings, it preferred embodiments of the present invention will be described in detail.
Intelligent battery sensor according to an aspect of the present invention, performs measurement battery both end voltage, measures the defeated of battery
Enter the electric current that comes in and goes out, measurement internal temperature of battery, the function of calculating battery nominal capacity etc..Therefore, intelligent battery sensor structure
Into, including：Program, in order to control above-mentioned functions；Memory, in order to calculate described program and battery nominal capacity, preserves fixed
The parameter of justice；The processor of at least one, based on described program, estimates the nominal capacity of battery.
In the present invention, intelligent battery sensor uses the open loop voltage at battery two ends, and when vehicle is run
Value that the current value of battery charge or discharge is accumulated etc., estimates the nominal capacity of battery.At this moment, in order to estimate nominal capacity,
Battery sensor flexibly with the parameter for being stored in memory, may include herein：Record is for battery internal resistance and battery
The table of the information of relation between nominal capacity；Record is for the relation between battery open loop voltage and battery charging state
Table of information etc..
Hereinafter, reference picture 1 and Fig. 2, illustrate the battery mark of the computing device of at least one of intelligent battery sensor
Claim to hold method of estimating rate.Fig. 1 and Fig. 2 are according to embodiments of the present invention, it is illustrated that battery nominal capacity estimates the flow chart of method.
As shown in Fig. 1, judge whether Vehicular battery stabilizes in stage S11.Whether Vehicular battery stabilizes, as sentencing
Whether disconnected vehicle is incubated (soaking) more than certain time.If for example, inside battery flow dark current in below 200mmA
State and continue more than 4 hours, then battery be safe condition.
Vehicular battery stabilization of state condition is met in stage S11, is opened in the stage S12 stabilizations at initial stage for measuring battery two ends
Put loop voltage (1OCV, Open Circuit Voltage).In 1OCVs of the stage S13 using measurement, in present time
Point（1st time point）Calculate the 1st battery charging state value (SOC_init1).
As described above, in the memory of the intelligent battery sensor according to the present invention, keeping records is for open loop
The table of the information of relation between voltage and battery charging state, and in stage S13 with reference to the table, it is extractable to be filled on battery
The information of electricity condition.For example, processor fills the 1OCV of measurement with open loop voltage-battery for having set in stage S12
Electricity condition relation table is compared, and extracts the battery charging state value of battery charging state value the 1st for being matched with the 1OCV.
Afterwards, if starting the state of vehicle, the stable state of battery will be departed from, at this moment processor uses to calculate
The algorithm of internal resistance, calculates battery internal resistance (Rdi)（S14）.As described above, in order to calculate drilling for battery internal resistance
Algorithm is also to be stored in holder.
Afterwards, the battery internal resistance calculated in the S14 stages is used in stage S15 processor, battery nominal capacity is estimated
（CNOM）.As described above, according to the memory of the intelligent battery sensor of the present invention, keeping records is for battery internal resistance
The table of the information of relation between battery nominal capacity, and in stage S15 with reference to the table, can extract battery nominal capacity.
For example, processor is compared in the stage S14 battery internal resistances calculated with resistance-battery nominal capacity relation table, general
Value assigned in the internal resistance is extracted as battery nominal capacity value（CNOM）.
Following mathematical expression 1 is used in stage S16 processor, the electricity for calculating accumulation battery charge or discharge is run according to vehicle
1st charged state variable quantity (Δ SOC1) of flow.
（Mathematical expression 1）
ΔSOC1：1st charged state variable quantity, Current：The magnitude of current of charge or discharge, CNOM：Nominal capacity value
Afterwards, the 2nd time point of vehicle operation is being interrupted, is rejudging whether Vehicular battery stabilizes again.（S21）
It is steady at the initial stage that stage S22 measures battery two ends if meeting Vehicular battery stabilization of state condition in stage S21
Determine open loop voltage（2OCV, Open Circuit Voltage）.In 2OCVs of the stage S23 using measurement, present
Time point（2nd time point）Calculate the 2nd battery charging state value (SOC_init2).
The 1st electricity calculated in stage S24, processor rooting according to battery stabilization open loop at the initial stage voltage at the 1st time point
Pond state-of-charge value, with battery the 2nd battery charging state value that initial stage, stable open loop voltage was calculated according to the 2nd time point
Difference, calculate the 2nd charged state variable quantity (Δ SOC2) between two time points.
As in stage S15, the nominal capacity of battery can be also estimated by battery internal resistance.Simply, due in battery
Portion's resistance value is very small, even in the different situation of battery capacity, has a case that similar internal resistance value, with being difficult to pair
The problem of actual battery capacity carries out self judgment.In order to ensure the battery nominal capacity value extracted by battery internal resistance
（CNOM）Reliability, according to the present invention battery nominal capacity presumption method be characterised by, using pass through inside battery electricity
The 1st charged state variable quantity (Δ SOC1) that the battery nominal capacity value that resistance is extracted is calculated, with battery in two stable times
Point, according to the 2nd poor charged state variable quantity (Δ of the battery charging state value of battery stable open loop voltage calculating at initial stage
SOC2) it is compared, by calculating the battery nominal capacity value that compensation is extracted by the battery internal resistance repeatedly.
Therefore, judging the 1st charged state variable quantity (Δ SOC1) and the described 2nd charging shape in stage S25 processor
The difference of state variable quantity (Δ SOC2), if setting critical error value（α）In the range of.
If the 1st charged state variable quantity (Δ SOC1) is poor with the 2nd charged state variable quantity (Δ SOC2)
Set critical error value（α）In the range of situation, it is in stage S26 processor that the battery extracted by battery internal resistance is nominal
Capability value（CNOM）It is determined as nominal capacity.
If, the 1st charged state variable quantity (Δ SOC1) and the 2nd charged state variable quantity (Δ SOC2)
Difference, more than having set critical error value（α）Scope, in stage S27 processor in the nominal capacity value（CNOM）Plus-minus has been set
Fixed arbitrary value (β), performs stage S11 to the S25 stages repeatedly, continued until meet stage S25 define it is important
Condition.
Implementing result is that the final 1st charged state variable quantity (Δ SOC1) changes with the 2nd charged state repeatedly
The difference of (Δ SOC2) is measured, the critical error is met（α）Following condition, until in the nominal capacity value（CNOM）Repeatedly
The plus-minus of number of times is arbitrarily worth the value of (β), is determined as the nominal capacity of battery.For example, it is assumed that 3 stage S11 are to the stage repeatedly
S25, the nominal capacity of battery is determined as CNOM+3* β or CNOM-3* β value.
Fig. 3 is according to other embodiments of the present invention, it is illustrated that the block diagram of the Inner Constitution of intelligent battery sensor.
Reference picture 3, according to the intelligent battery sensor 100 of the present invention, including：Measurement portion 110, is connected to battery 10
(-) pole, the periodically electric current of measurement battery, voltage, temperature；Calculating part 120, using the parameter of the electric current of measurement, voltage etc. as
Basis, is calculated such as battery charging state (State of charge), battery aging status (State of health), battery
The project of startup ability (State of function) etc.；Storage part 130, save routine and parameter.
Specifically, memory 130 is preserved：Program, in order to control the output of measurement battery both end voltage, measurement battery defeated
Enter electric current, measurement internal temperature of battery, calculate battery nominal capacity, and in order to calculate described program and the battery nominal capacity
Preserve defined parameter.
Calculating part 120 is based on described program, and the processor of at least one for estimating the nominal capacity of battery is constituted.
Herein, described program be by the 1st order language, Vehicular battery stabilized 1st time point and the 2nd time point it
Between, the 1st charged state amount of state variation for calculating the magnitude of current for accumulating the battery charge or discharge is run according to vehicle, with the
2 order languages, at the 1st time point and the 2nd time point, according to the difference of the open loop voltage at the battery two ends
2nd charged state variable quantity, and the 3rd order language, the difference of the 1SOC variable quantities and the 2SOC variable quantities is with having set
Fixed critical error is compared, and the nominal capacity of the battery is estimated according to comparative result, is embodied as to be understood with computer
Code.
Method is estimated according to above-mentioned battery nominal capacity of the invention, the record media that can be understood in computer can be with
It is embodied as the code that can be understood with computer.The record media that can be understood as computer, including preserve according to multimedia device
The record media of all kinds for the data that can be understood.For example, it may be ROM (Read Only Memory), RAM
(Random Access Memory), tape, disk, flash memory, optical data storage devices etc..Remember in addition, can be understood with computer
Media are recorded, the multimedia device connected with computer communication network is scattered in, can preserve and carry out as can be understood with dispersing mode
Code.
More than, the composition to the present invention is described in detail referring to the drawings, but this only example, in institute of the present invention
The technical field of category has the technical staff of usual knowledge, in the range of the technological thought of the present invention, it is of course possible to carry out various
Deformation and change.So as to, protection scope of the present invention must not be confined to foregoing embodiment, but according in following record
Right is determined.
Claims (8)
1. a kind of utilize the battery nominal capacity calculated repeatedly presumption method, it is characterised in that including：
1st stage, the vehicle run after Vehicular battery stabilized 1st time point and the 1st time point is run by
Between disconnected Vehicular battery stabilized 2nd time point, the battery charge or discharge of calculating accumulation are run according to vehicle
1st charged state variable quantity of the magnitude of current is 1SOC variable quantities；
2nd stage, the open loop voltage at the Vehicular battery two ends in the 1st time point and the 2nd time point,
It is 2SOC variable quantities to calculate the 2nd charged state variable quantity according to the open loop voltage differences at the Vehicular battery two ends；
3rd stage, the difference by the 1SOC variable quantities and the 2SOC variable quantities is that variable quantity difference is faced with having set
Boundary's error amount is compared, and the nominal capacity of the battery is estimated according to comparative result,
2nd stage, including：
Open loop voltage at Vehicular battery two ends described in the 1st point in time measurement is 1OCV stage；
The 1OCV is compared with having set open loop voltage-battery charging state relation table, extraction is matched with institute
State the stage of 1OCV the 1st battery charging state value；
Open loop voltage at Vehicular battery two ends described in the 2nd point in time measurement is 2OCV stage；
The 2OCV is compared with the open loop voltage-battery charging state relation table, extraction is matched with described
The stage of 2OCV the 2nd battery charging state value；
The difference of the 1st battery charging state value and the 2nd state-of-charge value is sought, the rank of the 2SOC variable quantities is calculated
Section.
2. according to claim 1 utilize the battery nominal capacity calculated repeatedly presumption method, it is characterised in that
1st stage, including：
Calculate the stage of the internal resistance of the Vehicular battery；
The internal resistance of calculating is compared with having set internal resistance-battery nominal capacity relation table, extraction is matched with institute
State the stage of the battery nominal capacity value of internal resistance；
According to following mathematical expression 1, the 1SOC variable quantities of the accumulation vehicle battery charging or the magnitude of current of electric discharge are calculated
Stage,
Mathematical expression 1
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ΔSOC1：1SOC variable quantities, Current：The magnitude of current of charge or discharge, CNOM：Nominal capacity value.
3. according to claim 2 utilize the battery nominal capacity calculated repeatedly presumption method, it is characterised in that
3rd stage, including：
Comparative result is, situation of the variable quantity difference below the critical error, extracted in the 1st stage described in
Nominal capacity value is estimated as the stage of the nominal capacity of the Vehicular battery；
Comparative result is that the difference of the variable quantity exceedes the situation of the critical error, in nominal capacity value plus-minus
The arbitrary value of setting, performs the stage in the 1st to the 3rd stage repeatedly.
4. according to claim 3 utilize the battery nominal capacity calculated repeatedly presumption method, it is characterised in that
The stage performed repeatedly, including：
The result for performing the 1st to the 3rd stage repeatedly is that the variable quantity difference meets the bar below the critical error
Part, the value obtained in the number of times in the nominal capacity value the 1st to the 3rd stage of adding and subtracting the arbitrary value repeatedly, is estimated as
The stage of the nominal capacity of the Vehicular battery.
5. a kind of intelligent battery sensor, it is characterised in that including：
It is at least one of in measurement portion, measurement battery both end voltage, measurement battery output input current, measurement internal temperature of battery
Kind；Based on calculating part, the information measured by the measurement portion, the nominal capacity of battery is estimated；Memory, it is preserved for controlling
System calculates the program of the nominal capacity of battery and preserved to calculate battery nominal capacity and defined parameter,
The calculating part is,
The vehicle that the vehicle operation run after Vehicular battery stabilized 1st time point and the 1st time point is interrupted
Between battery stabilized 2nd time point, run according to vehicle and calculate the magnitude of current for accumulating the vehicle battery charging or electric discharge
The 1st charged state variable quantity be 1SOC variable quantities；
Vehicular battery two ends in the 1st time point and the 2nd time point open loop voltage, according to the car
It is 2SOC variable quantities that the difference of the open loop voltage at battery two ends, which calculates the 2nd charged state variable quantity,；
The difference of the 1SOC variable quantities and the 2SOC variable quantities is variable quantity difference, is entered with having set critical error value
Row compares, and the nominal capacity of the Vehicular battery is estimated according to comparative result,
The calculating part,
Open loop voltage at Vehicular battery two ends described in the 1st point in time measurement is 1OCV,
The 1OCV is compared with having set open loop voltage-battery charging state relation table, extraction is matched with institute
1OCV the 1st battery charging state value is stated,
Open loop voltage at Vehicular battery two ends described in the 2nd point in time measurement is 2OCV,
The 2OCV is compared with the open loop voltage-battery charging state relation table, extraction is matched with described
2OCV the 2nd battery charging state value,
The difference of the 1st battery charging state value and the 2nd state-of-charge value is sought, the 2SOC variable quantities are calculated.
6. intelligent battery sensor according to claim 5, it is characterised in that
The calculating part,
The internal resistance of the Vehicular battery is calculated,
The internal resistance of calculating and internal resistance-battery nominal capacity relation table for having set are compared, extraction is matched with
The battery nominal capacity value of the internal resistance,
According to following mathematical expression 1, the 1SOC variable quantities of the accumulation vehicle battery charging or the magnitude of current of electric discharge are calculated,
Mathematical expression 1
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<mi>u</mi>
<mi>r</mi>
<mi>r</mi>
<mi>e</mi>
<mi>n</mi>
<mi>t</mi>
</mrow>
<mrow>
<mi>C</mi>
<mi>N</mi>
<mi>O</mi>
<mi>M</mi>
</mrow>
</mfrac>
<mi>d</mi>
<mi>t</mi>
</mrow>
ΔSOC1：1SOC variable quantities, Current：The magnitude of current of charge or discharge, CNOM：Nominal capacity value.
7. intelligent battery sensor according to claim 6, it is characterised in that
The calculating part,
By the variable quantity difference with having set result that critical error value is compared as the variable quantity difference is faced described
Situation below boundary's error amount, the nominal capacity of the Vehicular battery is estimated as by the nominal capacity value of extraction,
Comparative result is that the difference of the variable quantity exceedes the situation of the critical error, and the nominal capacity value plus-minus has been set
Fixed arbitrary value, performs and calculates the internal resistance, extracts the nominal capacity value and calculate the 1SOC changes repeatedly
Change amount.
8. intelligent battery sensor according to claim 7, it is characterised in that
The calculating part,
Perform repeatedly and calculate the internal resistance, extract the nominal capacity value and calculate the 1SOC variable quantities, until
The variable quantity difference meets the condition below the critical error, adds and subtracts the arbitrary value in the nominal capacity value and counts repeatedly
The internal resistance is calculated, the nominal capacity value is extracted and calculates the value that the number of times of the 1SOC variable quantities is obtained, presumption
For the nominal capacity of the Vehicular battery.
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| KR1020120129550A KR101960090B1 (en) | 2012-11-15 | 2012-11-15 | Intelligent battery sensor and battery nominal capacity estimation method using iteration thereof |
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| KR102208222B1 (en) * | 2014-08-12 | 2021-01-26 | 현대모비스 주식회사 | Apparatus and method for measuring state-of-charge of battery |
| KR102263474B1 (en) * | 2014-12-31 | 2021-06-10 | 에스엘 주식회사 | Apparatus for measuring state of charge of battery in vehicle, and method applied to the same |
| KR102101002B1 (en) * | 2019-01-21 | 2020-04-14 | (주)인텍에프에이 | Method for battery lifetime prediction |
| CN112485677A (en) * | 2019-09-12 | 2021-03-12 | 东莞新能德科技有限公司 | Battery capacity updating method and device, electronic device and storage medium |
| CN112213643B (en) * | 2020-09-30 | 2023-06-23 | 蜂巢能源科技有限公司 | Method, system and equipment for predicting initial capacity and state of health of battery |
| CN114035049A (en) * | 2021-11-08 | 2022-02-11 | 东软睿驰汽车技术（沈阳）有限公司 | SOH precision calculation method and device and electronic equipment |
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| KR101960090B1 (en) | 2019-03-19 |
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