CN103135056A - Battery capacity predicting device and battery capacity predicting method - Google Patents
Battery capacity predicting device and battery capacity predicting method Download PDFInfo
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Abstract
The invention discloses a battery capacity predicting device and a battery capacity predicting method. A battery pack is built in or externally connected with the battery capacity predicting device. The battery capacity predicting device comprises a battery capacity algorithm equation. A data base is memorized by means of a microprocessor executing equation and memorized in an overwriting non-volatile memorizer. An open loop voltage meter, a current gain meter and a capacity transformation equation are built in the data base. A predicted battery discharge curve is calculated according to measured load current and battery temperature by means of the battery capacity algorithm equations, and then the data base is amended according to a coulombmeter, the battery discharge curve and battery terminal voltage.
Description
Technical field
The present invention relates to a kind of battery capacity and estimate algorithm, particularly relevant for a kind of according to battery surface temperature, current battery electric quantity consumption, a kind of algorithm that battery capacity is estimated.
Background technology
Battery can say all portable electronic devices power resources, and such as: mobile phone, notebook computer, personal digital assistant, walkman etc. all depend on battery that electric power is provided.But battery is a kind of device of accumulating electric weight after all, when portable electronic devices uses with regard to the electric energy of consuming cells.When portable electronic devices was unlocked so that the used time, battery electric power will continue to be consumed until this portable electronic devices is closed or remaining electric energy when being not enough to drive this device, and portable electronic devices will be forced to close.The represented meaning of the latter is to be stored in the interior electric power of battery lower than a critical value.Generally speaking, no matter consider with environmental protection, perhaps with long-time overall average cost thinking, the many modes that can take battery recharge of portable electronic devices replenish the electric energy that originally consumes return.
The good lithium battery of one battery management formula can be repeated to charge hundreds of times usually, even reaches thousands of times.A good battery, except reusable number of times is wanted height, for the user, the dump energy of the battery of portable electronic devices in use procedure (battery discharge status), they are concerned about especially.(run) is how long because can continue a journey again, and he gets first has psychological preparation, so that can be before his portable electronic devices of battery management system hard closing, and his present operation of in good time end.If his does not have charger at one's side.
Moreover, battery management system preferably can also be according to the size of current battery discharge rate, but correctly at any time tell the user battery endurance person instantly, rather than at battery until when being discharged into certain one-phase, just provide comparatively correct information, and this battery management system that high-quality must be arranged.
Yet, with regard to inventor's knowledge in one's power, prior art will provide the battery management system of such high-quality to incur a considerable or great expense, battery management system design dealer must spend considerable time and remove building database, what is worse, for the database that the battery of battery manufacturers A is set up, be B as long as battery manufacturers changes into, the IC deviser of battery management system gets the database program that will build for the A of manufacturer and re-executes once.Because, these databases be with battery in the chemical substance height correlation, as long as when in battery, the grade of chemical substance is variant.
With existing dynamic discharge cut-off voltage method, during Database, get repeatedly complete discharging and recharging, and data-base content is relevant with the fine difference of chemical material in battery, that is, even if be equally lithium battery, management system design dealer must be with regard to different battery manufacturers, data reconstruction.The user of terminal what is more, if often do not carry out complete discharging and recharging, data-base content just can not be updated, and when the use of a period of time caused cell degradation, the dump energy information that the battery management system provides only according to coulombmeter will be obviously incorrect for battery for this.
Another kind is opened the loop voltage method, and situation is similar with above-mentioned dynamic discharge cut-off voltage method, and the time that must spend during building database is longer, and is in addition obviously relevant with battery material again.
The another kind of existing technology IT algorithm that is Texas Instrument again, for example, No. the 6832171st, the United States Patent (USP) that is obtained by people such as Barsoukou, this patent of denomination of invention " Circuit And Method for Determining Battery Impedance Increase with Aging " discloses, a kind of method of trying to achieve the internal resistance of cell: comprise (a) analysis stream through electric current or the cell voltage of battery, to judge whether that load changes the transient state that is caused and whether occurs; Whether (b) detect transient state finishes; (c) measure cell voltage and the output current by battery, obtain present depth of discharge (DOD); (e) ask battery open circuit voltage under DOD instantly; (e) calculate the internal resistance of cell, internal resistance value is that open-circuit voltage and the cell voltage difference measured are divided by the current value of measuring.
Summary of the invention
A purpose of the present invention be to provide a kind of can significantly reduce the Database time again can be in response to all batteries of the same type, not because of different device and the algorithms of rebuilding of battery manufacturers.
Another object of the present invention is to provide a kind of battery management system with self training learning ability, that is, database all can be repaiied positively related parameter self training study according to the battery information that captures when each battery discharge.Battery management system design dealer is required just first sets up the points of database in a sets of data storehouse.When the user of consumption end used, points of database still can self training study.Therefore, the battery management system is no matter the user can provide compared to known conventional art at that one-phase relatively accurate battery capacity prediction is provided.
The present invention discloses a kind of battery capacity prediction device and Forecasting Methodology thereof, the battery capacity prediction device, built-in or be external in a power brick, power brick be provided with microprocessor, non-electrical measuring element with acquisition battery surface temperature element (TE), coulombmeter, electrically measuring element take the terminal voltage electricity converting unit load current that measures battery, analog-to-digital converter in order to temperature, voltage and current conversion as digital signal for this microprocessor processes.The capacity predict device comprises: a battery capacity algorithm formula, carry out formula with access one database by microprocessor, and database storage is in a non-volatility memorizer that can override.Have one in database and open the loop voltage table, current gain table and a capacity transfer equation formula.
Wherein, capacity algorithm formula will be predicted the battery discharge curve according to load current and battery temperature calculation one, then predict that according to the battery terminal voltage comparison that measures the battery discharge curve is to obtain a discharge energy degree of depth.Then, coulombmeter read value judgement battery status.When battery status is discharge condition, the data of coulombmeter gained correspond to above-mentioned prediction battery discharge curve in the hope of a second voltage value, when this second voltage value and this measure magnitude of voltage when inconsistent, just revise the weights number in capacity transfer equation formula, and the correcting current gain table.When battery status was resting state, the data of coulombmeter gained corresponded to above-mentioned prediction battery discharge curve in the hope of a second voltage value, when this second voltage value and this measure magnitude of voltage when inconsistent, just revised and opened the loop voltage table.
Battery capacity prediction device and the Forecasting Methodology thereof of the embodiment of the present invention, establishing under the front topic prerequisite of document data base, above-mentioned self training flow process, approximately can just carry out a circulation in every 5 to 10 seconds, even, just executed once in every 1～2 second, and can improve accuracy, rapidly and accurately only according to providing up-to-date battery capacity at discharge current and battery surface temperature; As long as know the definite point of discharge of battery, for example, fill the electric weight after satisfying, perhaps under other discharge energy degree of depth, just can be after self training flow process of each execution, obtain the dump energy of battery, and when carrying out, all can automatically revise document data base so long as close in the standard of discharge condition or the standard of resting state; The foundation of document data base can be saved much more very time compared to known prior art, because do not need intactly hundreds of times of battery charging and discharging, and battery of the same type only need be set up once and gets final product.
Description of drawings
In conjunction with appended graphic, can understand easily the plurality of advantages of foregoing and the present invention by following detailed description, wherein:
Fig. 1 is according to the designed battery capacity prediction device schematic diagram of preferred embodiment of the present invention.
Fig. 2 is the schematic diagram that battery capacity prediction device of the present invention included or be hung on a power brick outward.
Fig. 2 A calculates the current gain value under definite value DOE for to open the discharge curve under loop discharge curve and quota discharge current.
Fig. 2 B is for opening the curve synoptic diagram that discharges under loop discharge curve and quota discharge current.
Fig. 3 is that battery shows the algorithm process flow diagram of predicting battery capacity.
Fig. 4 A is that a temperature is not obtained the schematic diagram of discharge curve when opening the temperature of loop voltage table.
Fig. 4 B is the schematic diagram of the corresponding DOE of the cell voltage of coulombmeter and acquisition under unequal.
Drawing reference numeral:
201 impact damper 210 Multisection battery cores
Battery capacity prediction device 260
202,203,401,401 ', 402,402 ', microprocessor 240
403,403 ', 405,405 ' the accommodating calculation formula 255 of battery discharge curve
230 coulombmeters
305、310、320、330、340、350、360、
363,365,367,370,380 process flow diagram squares (step)
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing, the embodiment of the present invention is described in further details.At this, illustrative examples of the present invention and explanation thereof are used for explanation the present invention, but not as a limitation of the invention.
As previously described techniques, prior art usually all must be through complete charge and discharge process repeatedly no matter be with dynamic discharge cut-off voltage method, open the loop voltage method.And if terminal user do not carry out complete discharging and recharging to battery, will make database not be updated.Particularly after cell degradation, inaccurate prediction is just especially serious.
The invention provides a kind of battery capacity and estimate algorithm, as shown in Figure 1, one battery capacity estimating device 260 (asking simultaneously referring to Fig. 2), include a capacity calculation formula 255, a database 250, one microprocessor 240, to carry out the self training flow process, wherein, microprocessor 240 also can use the microprocessor in power brick.Input end comprises cell voltage, battery temperature and load current.After each self training process step of carrying out once (the self training process step sees also Fig. 3), just can calculate the battery capacity of predicting, and correction database, then offer next time self training flow process then, then according to the points of database of up-to-date database.That is, self training flow process of every execution will be according to current battery state new database content more, then after an impact damper 201 feed-in battery capacity prediction device more just.Therefore, as long as use the processor in general power brick to carry out, each self training flow performing once only needs one second to the several seconds.
Battery capacity estimating device 260 of the present invention, can in be built in a power brick, or be hung on power brick outward.As shown in Figure 2.Power brick 200 comprises Multisection battery core 215, a battery protecting circuit 210, electrically measures unit 220a, non-electrical measurement unit 220b, analog-digital converter 225, a coulombmeter 230, battery communication protocol controller 235.
What electrically measurement unit 220a measured is voltage and the electric current of Multisection battery core 215, measures the battery surface temperature but not electrically measure unit 220b.Above-mentioned electric current, voltage, and temperature all can convert numeral to through analog-digital converter 225 and use for microprocessor.The electric current that the electrical unit 220a of measurement measures also can offer coulombmeter 230 and use.And the Output rusults of battery capacity estimating device 260 also can offer 235 outputs of battery communication protocol controller.
During the invention process, primary prerequisite is that a database 250 is provided, or sets up voluntarily a database.Set up: (1) opens the loop voltage table, (2) current gain voltage table, and (3) capacity transfer equation formula.Herein, and after the open-circuit voltage mentioned all refer to battery by with minimum discharge rate for example discharge current come emulation less than 0.05C (battery capacity), rather than make battery in really discharge under open circuit fully.Wherein, (1) opening the loop voltage table is first battery to be filled fullly, under the environment temperature of definite value, battery is filled is discharged to predetermined DOE (%) value with for example 1/20th battery capacity discharge rate again after full, measure the actual temperature of battery surface, and the terminal voltage value of battery.Namely obtain temperature and OCV graph of relation, i.e. OCV (%DOE, T).
For example, under 5 ℃ of environment temperatures, first battery is filled full after, then with for example 1/20th battery capacity discharge rate discharge, be discharged to predetermined 10%DOE value, then measure the terminal voltage value of fetching battery, for example for example 6 ℃ of the battery surface temperature of 3800mV and reality.So, can obtain an OCV
1(10%DOE, T
1) point.T wherein
1=6 ℃
Repeat above-mentioned acquisition OCV
1(10%DOE, T
1) step, but different environment temperatures, can obtain second OCV by for example 25 ℃
2(10%DOE, T
2) value, same, repeat above-mentioned steps, but can obtain the 3rd OCV 45 ℃ of environment temperatures
3(10%DOE, T
3) value.Above-mentioned T
2May not be just 25 ℃, same, T
3May not be just 45 ℃, be the reduced data amount, can select (inessential) with above-mentioned data point with interpolation or extrapolation, obtain the value at the specific environment temperature, i.e. OCV
1(10%DOE, 5 ℃), OCV
2(10%DOE, 25 ℃), OCV
3(10%DOE, 45 ℃).
Then, change to second DOE value, repeat the above-mentioned OCV of obtaining
1, OCV
2, OCV
3Step, for example 15%DOE can obtain other three OCV
4(15%DOE, T
1), OCV
5(15%DOE, T
2), OCV
6(15%DOE, T
3).
Then, rechange %DOE to other.For example, if master database will be set up 15 %DOE, database will have 45 points of databases namely to OCV
45(DOE
E, T
3).These a few %DOE do not need equidistant making, take lithium battery as example, the discharge curve of lithium battery battery fill full near and the larger EDV of variation or DOE near ending discharge voltage
ENear, so the DOE point is intensive, and 10% to for example near 85% the discharge curve slope approach, so data point is apart from can be relatively large.The interior OCV (T) of table one expression one database is example as a result:
Table one: open loop voltage table OCV (DOE, T)
Then, set up (2) current gain voltage table, and (3) capacity transfer equation formula.
Current gain table (IGAIN table) is first battery to be filled fullly, and environment temperature is 25 ℃ of room temperatures, then obtains with the %DOE that the discharge rate of predetermined value is discharged to intended target.For example, discharge rate is 2/10ths rated cell capacity discharge rates.Represent with formula to be
V(DOE，T，I)＝OCV(DOE，T)+I×IGAN(DOE)......(1)
That is, be no longer the discharge rate that approaches when opening the loop when when discharge, but during higher discharge rate, open the loop discharge curve, will add discharge current and the current gain product of (being equivalent to resistance).Namely opening the loop discharge curve will adjust up or down.
For example, please refer to Fig. 2 A, open loop discharge curve 202 when 50%DOE corresponding cell voltage OCV (30 ℃, 50%DOE) be 3741mV, discharge curve 204 is the 3529mV that is drawn during take discharge current as 1000mA, IGAIN will be:
Current gain table of the present invention is with known discharge energy, and the discharge rate of quota is discharged to target DOE, and for example 0.2C (rated capacitance) is by the extremely maximum %DOE of the %DOE of minimum.Just measure cell voltage when reaching target DOE.This voltage again with same DOE under the loop voltage value of opening subtract each other, then get final product to get the IGAIN under corresponding DOE divided by this quota discharge current
0.2
In other words, 15 different %DOE can obtain IGAIN under same discharge current
0.2(1) to IGAIN
0.2(15) value.
Same, can get IGAIN in the 0.3C discharge rate
0.3(1) to IGAIN
0.3(15) value is corresponding to 15 %DOE.Please refer to Fig. 2 B.In the discharge curve of Fig. 2 B, 202 is OCV discharge curves, and putting curve 203 is to decide electric current, for example 0.3C discharge rate discharge.
More accurate, can get IGAIN in the 0.5C discharge rate
0.5(1) to IGAIN
0.5(15) value is corresponding to 15 %DOE.
Be the reduced data storehouse, with the same %DOE of gained, but get its denominator value under different discharge rate, for example mean value (AVG), or intermediate value (MID).Therefore, be corresponding 15 IGAN of each %DOE at current gain table (IGAIN table)
AVGOr IGAN
MID
The interior current gain table (IGAIN table) of table two expression one database is example as a result
Comprise as for (3) capacity transfer equation formula:
Energy content of battery equation:
Wherein:
Emax is the battery ceiling capacity, and Δ Cap is the capacity difference of two different %DOE values.
Fill electric capacity equation FCC=E when satisfying
max* DOE
E* ω ... (3)
Wherein, ω is modifying factor,
DOE
EThat the discharge energy degree of depth is corresponding to the ending discharge voltage point;
The residual capacity equation:
RM
@Initial＝E
max×(DOE
E-DOE
ε)×ω......(4)
Relative state of charge (relative state of charge):
RSOC
@Initial＝RM
@Initial/FCC......(5)
Wherein, DOE
εThat the discharge energy degree of depth is corresponding to present electrical voltage point.
The detailed description of self training flow process sees also Fig. 3.
Please refer to process flow diagram shown in Figure 3.Declaration capacity predict self training flow process begins as shown in step 305.
Then, carry out step 310 with battery electrically and non-electrical detection module detect respectively electric current and the battery surface temperature that flows to load from battery.All comprise an analog-to-digital converter in this electrical or non-electrical detection module of battery that reaches later indication and be beneficial to processor access.
And then, carry out step 320, battery management system is depicted a preliminary battery discharge curve from points of database and the battery surface temperature (as table one) of database, if temperature is the listed temperature T of table one 1 just, can obtain discharge curve 401.If T2 can obtain discharge curve 402.T3 is corresponding to discharge curve 403.Otherwise, battery surface temperature T for example
yThough drop in the battery serviceability temperature, when not being the temperature value of points of database in database, need to obtain corresponding discharge curve 405 with interpolation or extrapolation, please refer to Fig. 4 A.Be described as follows: Yin Wendu is known, therefore, can with regard to each %DOE from database open the loop voltage table obtain a pair of should %DOE and the points of database of temperature.Connect the discharge curve 401,402 or 403 that those points get final product above-mentionedly.
Still please refer to Fig. 4 A, otherwise each %DOE point needs to carry out interpolation or extrapolation with regard to different temperatures.For example, V (DOE
1, T
y), be by V (DOE
1, T
1) V (DOE
1, T
2) V (DOE
1, T
3) data point, carry out interpolation and obtain.In like manner can get other, V (DOE
n, T
y).
Still please refer to Fig. 4 A, then according to the IGAIN in load current and database (DOE) table, adjust preliminary battery discharge curve 401 to prediction battery discharge curve 401 ' with formula (1), in like manner can get battery discharge curve and 403 '.Discharge curve 405 ', by discharge curve 401 ', 402 ', 403 ' obtains with interpolation method.
Subsequently, carry out step 330, with battery electrical detection module acquisition cell voltage.According to the cell voltage electricity converting unit and the whole prediction battery discharge curve that capture, can extrapolate the %DOE value of current battery.
Then, enter steps in decision-making 340, judge whether effective discharging condition is set up.Effectively discharging condition refers to that the size of discharge current needs more than ten/one battery rated capacity at least, and in discharge process, battery temperature must not change the temperature range that surpasses the battery use, for example 0 ℃-60 ℃.The temperature range that better battery uses is at 5 ℃-50 ℃, and reaches definite capacity point from battery and begin discharge, and definite capacity point for example can be, filled when full, or other capacity known point.The definite capacity point of From discharge time can not be long to carrying out prediction battery capacity of the present invention, and long definition is take one day as the upper limit.Since the oversize problem that self-discharge of battery will be arranged, and affect accuracy.
When effective discharging condition is false, just carry out step 350, report the capacity of battery with the %DOE of step 330 gained.
When effective discharging condition is set up, just carry out step 360, the quantity of electric charge that the coulombmeter accumulation is flowed out by battery is with acquisition current battery state.The indication battery status comprises charged state, discharge condition and resting state herein.Therefore, it will comprise one constantly, the quantity of electric charge of for example reading with present coulombmeter constantly before 1 second or 10 seconds, the state of judgement current battery.
The condition that meets discharge condition 363 when the result of determination identification please refer to square 370, refers to that electric current flows to load by battery, and greater than a default threshold value, with a preferred embodiment, threshold value is 100mA.The coulomb value that measures according to step 360 coulombmeter is known the %DOE value.For example, please refer to Fig. 4 B, read value is 2500mAh, and known again is to begin to discharge from definite point of discharge 10%DOE, and present E
MAXBe 3571mAh, the %DOE that can get up till now by coulombmeter is 80%, knows that by the prediction battery discharge curve 405 shown in Fig. 4 B corresponding voltage is V ".Voltage by step 330 gained is V '.If V "=V ' do not need to revise, otherwise V ' is corresponding to 82%DOE as shown in Figure 4 B, V "＞V ', according to voltage V ' and voltage V " difference correcting current gain table.Know V ' corresponding to 82%DOE by the prediction battery discharge curve 405 shown in Fig. 4 B, therefore, the E that capacity transfer equation formula formula (3) is come by prediction battery discharge curve 405 '
MAXTo be 3472mAh.
Then, return step 350 and calculate battery capacity.As shown in Figure 4 B, FCC=E
MAX* 95%=3298mAh,
RM＝E
MAX×(95％-82％)＝451mAh。
On the other hand, by coulombmeter, known is to begin to discharge from definite point of discharge 10%DOE, and E at that time
MAXBe 3571mAh, FCC=E
MAX* 95%=3392mAh, RM=E
MAX* (95%-10%)=3035mAh.Stop and light to 80%DOE from 10%DOE discharge, the discharge capacity that coulombmeter accumulative total has been read is 2500mAh, and therefore, present RM is 3035-2500=535mAh.The ω that therefore can calculate in formula (4) is 1.186.
When the result of determination identification meets discharge resting state 365, please refer to square 380, will revise the loop voltage table of opening existing in database.This refers to discharge current less than the second setting value and continues to reach the second setting-up time threshold value, and with a preferred embodiment, when the ratings of battery was 4400mAh, second to set the electric current threshold value be 50mA, duration more than 30 minutes (containing).The second setting electric current threshold value and time threshold value will be adjusted according to the rated capacity of battery.Rated capacity is larger, and is larger.
Open the correction of loop voltage table, revise the points of database OCV (DOE at corresponding temperature in database according to the %DOE value of being calculated by coulombmeter in the battery surface temperature of step 310 gained and step 360, T) value obtains up-to-date prediction battery discharge curve for the subsequent algorithm step.Then, then, enter step 350, then according to up-to-date prediction battery discharge curve, and the voltage of step 330 gained, the %DOE value obtained, to calculate battery capacity.
Not other states 367 of resting state or discharge condition when result of determination, data are not carried out any correction.Directly get back to step 350 and calculate battery capacity.
The present invention has advantages of following:
(1) under the prerequisite that establishes database, above-mentioned self training flow process approximately can just be carried out a circulation in every 5 to 10 seconds, even, just executed once in every 1～2 second.To improve accuracy, rapidly and accurately only according to providing up-to-date battery capacity at discharge current and battery surface temperature.
(2) as long as know the definite point of discharge of battery, for example, fill the electric weight after satisfying, perhaps under other discharge energy degree of depth, just can be after self training flow process of each execution, obtain the dump energy of battery, and when carrying out, all can automatically revise database so long as close in the standard of discharge condition or the standard of resting state.
(3) foundation of database can be saved much more very time compared to prior art, because do not need intactly hundreds of times of battery charging and discharging, and battery of the same type only need be set up once and gets final product.
Though the present invention illustrates as above with preferred embodiments, so it is not to limit the present invention's spirit only to terminate in above-described embodiment with the invention entity.Be with, the modification of doing within not breaking away from spirit of the present invention and scope all should be included in claim.
Claims (9)
1. a battery capacity prediction method, is characterized in that, comprises at least following steps:
(a) set up a database, this database comprises:
One opens the loop voltage table, comprises a master data array, and each element of this master data array is with OCV
T, DOEExpression, wherein OCV is for opening the loop voltage value, and T is temperature, at least three of temperature numbers, DOE is the discharge energy degree of depth, wherein discharge energy degree of depth number is m;
One current gain table comprises m one by one corresponding to the current gain value IGAIN (DOE under m DOE
n);
One energy and capacity transfer equation formula comprise a modifying factor;
(b) acquisition load current I and battery temperature T;
(c) produce m the first data point OCV (T
B, DOE
n), wherein, n by 1 to m;
(d) produce a prediction battery discharge curve, this prediction battery discharge curve is with m the second data point V (DOEn, T
B, I), transverse axis is DOEn, the longitudinal axis is V (DOEn, T
B, I) to describe, this second data point satisfies the following V of relation (DOEn, T
B, I)=OCV (T
B, DOE
n)+I * IGAIN (DOE
n);
(e) acquisition cell voltage, and according to this cell voltage and the current discharge energy degree of depth of this prediction battery discharge curve calculating;
(f) judge whether to meet effective discharging condition;
(g) according to this discharge energy degree of depth, calculate battery capacity and finish, when not meeting effective discharging condition;
(h) acquisition current battery information, comprise the value that reads coulombmeter, when meeting effective discharging condition, and be that discharge condition, resting state or other state enter respectively step (i), (j), (k) according to the current battery information that captures;
(i) when the current battery information that captures be during in discharge condition, revise this current gain table and this capacity transfer equation formula of database, wherein above-mentioned current gain table correction refers to try to achieve a second voltage value when the data of this coulombmeter gained according to this prediction battery discharge curve, when this second voltage value and this measure magnitude of voltage when inconsistent, revise this current gain table, get back to step (h);
(j) when the current battery information that captures be during at resting state, revise this and open the loop voltage table, get back to step (h);
(k) when the current battery information that captures be during at other state, this database is not carried out any corrective action, return step (h).
2. battery capacity prediction method as claimed in claim 1, is characterized in that, above-mentioned effective discharging condition comprises battery temperature in the battery nominal range of use, and beginning discharge capacity point is for determining point, and the execution time is within battery fills after satisfying one day.
3. battery capacity prediction method as claimed in claim 1, is characterized in that, above-mentioned discharge condition comprises discharge current at least greater than 0.1C, and C is rated capacity.
4. battery capacity prediction method as claimed in claim 1, is characterized in that, above-mentioned resting state comprises discharge current less than 0.05C, and C is rated capacity, and continues at least 30 minutes.
5. battery capacity prediction method as claimed in claim 1, it is characterized in that, when above-mentioned coulombmeter corresponding to the discharge energy degree of depth of this prediction battery discharge curve less than this cell voltage value of measuring during corresponding to the discharge energy degree of depth of this prediction battery discharge curve, this modifying factor is greater than 1.
6. battery capacity prediction method as claimed in claim 5, it is characterized in that, above-mentioned modifying factor be with so that coulombmeter corresponding to the residual capacity of this prediction battery discharge curve, with the remaining battery capacity of being revised this prediction battery discharge Curves by this and getting, the cell voltage value of measuring both reach unanimity corresponding to the residual capacity of this prediction battery discharge curve.
7. battery capacity prediction method as claimed in claim 1, it is characterized in that, the correction of above-mentioned capacity transfer equation formula refers to take into account present residual capacity that present residual capacity that the residual capacity of initial point of discharge infers and this prediction battery discharge curve try to achieve when inconsistent by coulomb, revises the modifying factor of this capacity transfer equation formula.
8. a battery capacity prediction device, is characterized in that, and is built-in or be external in a power brick, and this battery capacity prediction device comprises at least:
One database is stored in a non-volatility memorizer that can override, and has one in this database and opens the loop voltage table, comprises a master data array, and each element of this master data array is with OCV
T, DOEExpression, wherein OCV is for opening the loop voltage value, T is temperature, at least three of temperature numbers, DOE is the discharge energy degree of depth, wherein discharge energy degree of depth number is m, and a current gain table comprises m and corresponds respectively to current gain value under a DOE and an energy and capacity transfer equation formula and comprise a modifying factor; And
One battery capacity calculation formula, carried out by a microprocessor, this battery capacity algorithm produces a prediction battery discharge curve according to load current and the battery temperature that this power brick captures, and according to the cell voltage, this prediction battery discharge curve and this coulombmeter that capture, revise current gain table, energy and capacity transfer equation formula in this database, or open the loop voltage table, after upgrading and overriding this database, produce according to this a prediction battery capacity.
9. battery capacity prediction device as claimed in claim 8, it is characterized in that, above-mentioned coulombmeter corresponding to the residual capacity of this prediction battery discharge curve, with revised remaining battery capacity that this prediction battery discharge Curves gets by this when inconsistent, this cell voltage value of measuring will multiply by modifying factor corresponding to the residual capacity of this prediction battery discharge curve so that both reach unanimity.
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