CN106154170B - The evaluation method and system of battery remaining power - Google Patents
The evaluation method and system of battery remaining power Download PDFInfo
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- CN106154170B CN106154170B CN201610378254.6A CN201610378254A CN106154170B CN 106154170 B CN106154170 B CN 106154170B CN 201610378254 A CN201610378254 A CN 201610378254A CN 106154170 B CN106154170 B CN 106154170B
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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]
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Abstract
The present invention provides a kind of method and system of residual capacity for estimating battery, this method includes estimating the dump energy memory capacity of battery, in the initial state of charge of the first time point measurement battery of battery charge cycle, in the final charged state of the second point in time measurement battery of charge cycle, the second time point was later than first time point；Measurement is input to the energy of battery between first time point in charge cycle and the second time point；Using initial state of charge, final charged state and be input to battery energy balane battery dump energy memory capacity index.Method of the invention can also estimate the remaining life gross energy memory capacity of battery.The system includes charged state logging modle, input energy measurement module and dump energy memory capacity index computing module, the index of the dump energy memory capacity for calculating battery.The present invention can provide foundation for the transaction of battery, replacement battery, battery charging.
Description
Technical field
The present invention relates to field of batteries, specifically being related to the evaluation method and realization of a kind of pair of battery remaining power
The system of this method.
Background technique
Battery has the function of storing electric energy, be widely used.Existing instrument, electronic equipment, industry dress
It sets or even automobile is all largely powered using battery.With the use of battery, remaining life is also reducing, and the every warp of battery
After crossing a charge cycle or discharge cycle, the self discharge amount of battery is consequently increased, and the dump energy of battery stores and holds
Amount also reduces therewith, and the remaining life gross energy memory capacity of battery is also reducing.
When battery carries on transactions, the remaining life gross energy memory capacity of battery and the dump energy of battery are deposited
Storing up capacity is often the factor for determining battery economic value, therefore, the correct remaining life gross energy memory capacity for estimating battery
And the dump energy memory capacity of battery is particularly important in the process of exchange of battery.
People have known in daily life, and the dump energy memory capacity of battery is age with battery, battery mistake
The increase of the number of charging and/or discharge cycle that past averaged discharge depth and/or battery once lived through and reduce, and it is electric
The number for the charging and/or discharge cycle that the self discharge amount in pond was then once lived through with the age of battery and battery increases and increases
Add, wherein the self discharge amount of battery refers to that battery was completed in a set time after a charge cycle, and in battery
In the case where not having external discharge circuit, the charged state of battery declines percentage.
Also, the remaining life of battery increases with the age of battery and is reduced, therefore the remaining life gross energy of battery is deposited
It is also such for storing up capacity, wherein the remaining life gross energy memory capacity of battery be battery in remaining battery life in total
The upper energy limit that can be stored, or the energy that battery in remaining battery life can be stored in total and can then be discharged
Measure the upper limit.And the number of charging and/or discharge cycle that the remaining life of battery was once lived through with battery increases and reduces, because
This, the remaining life gross energy memory capacity of battery is also such.
In addition, being often also required to estimation battery when the battery used is replaced or charged the battery
Dump energy memory capacity and battery remaining life gross energy memory capacity.
But the remaining life of Individual cells is estimated there are no any systematicness and objective method in practice at present
Gross energy memory capacity and dump energy memory capacity, can not assess the economic value of battery, judge whether to need replacing electricity
Pond when being charged to battery or selling battery, can not correctly judge the state of battery.
Summary of the invention
The main object of the present invention is to provide a kind of method of the residual capacity of effectively estimation battery.
The estimation of reference frame is provided it is a further object of the present invention to provide a kind of for the transaction of battery, replacement and charging
The system of the residual capacity of battery.
In order to realize above-mentioned main purpose, the evaluation method of battery remaining power provided by the invention includes estimation battery
Dump energy memory capacity, battery charge cycle first time point measurement battery initial state of charge, charging week
The final charged state of the second point in time measurement battery of phase, the second time point are later than first time point；Measurement is in charge cycle
The energy of battery is input between middle first time point and the second time point；Using initial state of charge, final charged state and
It is input to the index of the dump energy memory capacity of the energy balane battery of battery.
By above scheme as it can be seen that by record battery in the initial state of charge of charge cycle, final charged state and defeated
Enter the energy to battery, and calculates using above-mentioned parameter the index of the dump energy memory capacity of battery, and can be
Transaction, replacement, the charging of battery provide foundation.
One Preferable scheme is that, calculate the index of the dump energy memory capacity of battery are as follows: will enter into the energy of battery
Amount is divided by the difference between final charged state and initial state of charge.
It can be seen that the final charged state of battery, initial state of charge and the energy of input are easy to be measured, make
The index of the dump energy memory capacity of battery can be easily calculated by simple calculation method with above-mentioned parameter.
Further embodiment is that the also dump energy memory capacity of estimation battery and/or the storage of remaining life gross energy is held
Amount, comprising: obtain battery and complete the self discharge amount in a set time after a charge cycle；And/or obtain battery
Difference between charging and/or the timestamp and current time of discharge cycle for the first time；And/or obtain the passing averaged discharge of battery
Depth；And/or obtain the number of charging and/or discharge cycle that battery once lived through；Electricity is calculated using the first calculating parameter
The dump energy memory capacity in pond, and/or the remaining life gross energy memory capacity for using the second calculating parameter to calculate battery, the
One calculating parameter includes at least one of following parameter: the index of the dump energy memory capacity of battery, battery complete one
First time of the self discharge amount in a set time, battery after charge cycle charge and/or the timestamp of discharge cycle and
Time of charging and/or discharge cycle that the passing averaged discharge depth of difference, battery between current time, battery once lived through
Number, the second calculating parameter include at least one of following parameter: dump energy memory capacity or the dump energy storage of battery
The index of capacity, battery are filled in the first time for completing the self discharge amount in a set time after a charge cycle, battery
Difference, the passing averaged discharge depth of battery between electricity and/or the timestamp and current time of discharge cycle, battery were once undergone
The number of the charging and/or discharge cycle crossed.Wherein, the depth of discharge of battery be battery charged state complement, as one
Subtract charged state.
As it can be seen that passing through the index of dump energy memory capacity, self discharge amount, the charge and discharge number of battery, charge and discharge time
First calculating parameters such as poor, the passing averaged discharge depth between stamp and current time calculate battery remaining power storage and hold
Amount；By the index of dump energy memory capacity or dump energy memory capacity, self discharge amount, battery charge and discharge number,
Second calculating parameters such as the passing averaged discharge depth of difference, battery between charge and discharge timestamp and current time calculate battery
Remaining life gross energy memory capacity, so as to effectively estimate the dump energy memory capacity and/or residue of battery
Service life gross energy memory capacity, the dump energy memory capacity of battery and/or the remaining life gross energy memory capacity of battery are true
Determine the economic value of battery.
Further scheme is to calculate the dump energy memory capacity of battery are as follows: records one or more battery and exists
The known dump energy memory capacity at one or more time point is with corresponding battery known to corresponding time point
The first calculating parameter, calculate first between the known dump energy memory capacity of battery and known first calculating parameter
Mathematical relationship；It is stored and is held using the dump energy that the first calculating parameter of present battery, the first mathematical relationship calculate present battery
Amount；Calculate the remaining life gross energy memory capacity of battery are as follows: record one or more battery in one or more time
Second calculating known to corresponding time point of known remaining life gross energy memory capacity and the corresponding battery of point
Parameter calculates the second mathematics between the known remaining life gross energy memory capacity of battery and known second calculating parameter
Relationship；It is stored using the remaining life gross energy that the second calculating parameter of present battery, the second mathematical relationship calculate present battery
Capacity.
It can be seen that being deposited by the known dump energy to one or more battery at one or more time point
Storage capacity is analyzed with including relationship of the corresponding battery between first calculating parameter at one or more time point,
Calculate the first mathematical relationship；By total in the known remaining life at one or more time point to one or more battery
Energy storage capacity with including relationship of the corresponding battery between second calculating parameter at one or more time point into
Row analysis, calculates the second mathematical relationship, thus as the dump energy memory capacity and/or remaining life of estimating current battery
The basis of gross energy memory capacity, so it is easily total to the dump energy memory capacity and/or remaining life of current battery
Energy storage capacity is calculated.
To realize above-mentioned another object, the estimating system of battery remaining power provided by the invention includes charged state note
Module is recorded, in the first time point measurement of battery charge cycle and the initial state of charge of record battery, the of charge cycle
The final charged state of two point in time measurement and record battery, the second time point are later than first time point；Input energy measures mould
Block, measurement are input to the energy of battery between first time point in charge cycle and the second time point；Dump energy storage is held
Figureofmerit computing module, using initial state of charge, final charged state and be input to battery energy balane battery residue
The index of energy storage capacity.
By above scheme as it can be seen that being easy by the way that the energy of initial state of charge, final charged state and input etc. is multiple
The parameter of measurement can simply, easily calculate the index of the dump energy memory capacity of battery.
One Preferable scheme is that, further include calculating parameter logging modle, for measuring and/or recording following calculating parameter
At least one: the index of the dump energy memory capacity of battery or dump energy memory capacity, battery are filled completing one
The first time of the self discharge amount in a set time, battery after the electric period charges and/or timestamp, the battery of discharge cycle
First time charging and/or discharge cycle timestamp and current time between difference, the passing averaged discharge depth of battery, electricity
The number of charging and/or discharge cycle that pond once lived through；It further include dump energy memory capacity and remaining life gross energy
Memory capacity computing module calculates the dump energy memory capacity of battery and/or the residue of battery using above-mentioned calculating parameter
Service life gross energy memory capacity.
It can be seen that calculating the dump energy memory capacity of battery by one or more calculating parameter and/or remaining
Remaining service life gross energy memory capacity, the dump energy memory capacity of battery and/or the remaining life gross energy memory capacity of battery
It determines the economic value of battery, reference frame can be provided for the transaction, replacement, charging of battery.
Detailed description of the invention
Fig. 1 is the structural block diagram using the battery system of battery remaining power evaluation method embodiment of the present invention.
Fig. 2 is the block diagram of battery remaining power estimating system embodiment of the present invention.
Fig. 3 is the flow chart of battery remaining power evaluation method embodiment of the present invention.
The invention will be further described with reference to the accompanying drawings and embodiments.
Specific embodiment
Battery remaining power evaluation method of the invention is for estimating the residual capacity of battery, and remaining battery holds
Amount estimating system estimates the residual capacity of battery by the program realization of detection device and operation on computers.This
The battery of invention can be an individual battery module, be also possible to the battery system comprising multiple battery modules.One allusion quotation
The battery system of type as shown in Figure 1, battery system include it is multiple can be with independent disassembling, the battery module of installation, multiple battery moulds
Block is arranged in m row n column, and is loaded in a container.For example, when battery system is the battery system that electric car uses,
Then multiple battery modules are loaded in the specific container of electric car.Certainly, battery system is also possible to apply in other field
On battery system, such as apply electronic equipment, instrument, a variety of occasions of mechanized equipment battery system.
Method of the invention is used to estimate the residual capacity of battery, dump energy memory capacity and residue including battery
Service life gross energy memory capacity, wherein the dump energy memory capacity of battery is that battery can store after a charging complete
Upper energy limit or the battery upper energy limit that can store and can then discharge after a charging complete.
In the present embodiment, estimate that the dump energy memory capacity of battery is realized by the following method, in the charging of battery
The initial state of charge of the first time point measurement battery in period, the second subsequent point in time measurement battery of charge cycle most
Whole charged state, and measure in charge cycle, the energy of battery is input between first time point and the second time point, and
And it by initial state of charge, final charged state and is input to the energy of battery and calculates the dump energy memory capacity of battery
Index.
Wherein, the charged state (state of charge) of battery is the energy and be somebody's turn to do that battery is at a time stored
The charged state of ratio between the energy storage capacity of battery, i.e. battery at a time can indicate are as follows: battery charging shape
Currently stored energy/battery the energy storage capacity of state=battery, wherein the energy storage capacity of battery is that battery is current
Energy storage capacity, that is, battery be currently able to storage energy the upper limit.Therefore, the initial state of charge of battery is electricity
Charged state of the pond under first time point, and the final charged state of battery is charging shape of the battery under the second time point
State.
In the present embodiment, the method for estimation battery remaining power memory capacity be by first time point and the second time point it
Between be input to the energy of battery divided by the difference between final charged state and initial state of charge, it can calculated by formula 1:
Wherein, C is the index of the dump energy memory capacity of battery, and E is between first time point and the second time point
It is input to the energy of battery, SFCharged state for battery at the second time point, that is, final charged state, S0Exist for battery
The charged state of first time point, that is, initial state of charge.
Therefore, as shown in Fig. 2, battery remaining power estimating system is provided with charged state logging modle 10, for measuring
With initial state of charge of the record battery under the first time point of charge cycle, and measure and record battery is in charge cycle
The second time point under final charged state.Preferably, charged state logging modle 10 is provided with charged state measuring device.
Battery remaining power estimating system is additionally provided with input energy measurement module 11, for measuring and being recorded in charging week
The energy of battery, input energy measurement module 11 and charged state are input between interim first time point and the second time point
Logging modle 10 exports data to dump energy memory capacity index computing module 12, and dump energy memory capacity index calculates
Module 12 calculates the index of the dump energy memory capacity of battery according to formula 1.
Dump energy memory capacity of the present invention in addition to calculating battery, the remaining life gross energy of also calculating battery, which stores, to be held
Amount.Since the remaining life gross energy memory capacity of battery and the dump energy memory capacity or dump energy of battery store and hold
The index of amount, battery charge in the first time for completing the self discharge amount in a set time after a charge cycle, battery
And/or the passing averaged discharge depth of the difference between the timestamp and current time of discharge cycle, battery, battery once lived through
Charging and/or discharge cycle the factors such as number it is related, therefore, battery remaining power estimating system is provided with calculating parameter note
Module 13 is recorded, for measuring and/or recording at least one calculating parameter, calculating parameter includes the dump energy memory capacity of battery
Or the index of dump energy memory capacity, battery complete the self discharge in a set time after a charge cycle
Amount, the timestamp of the first time charging of battery and/or discharge cycle, the first time charging of battery and/or the time of discharge cycle
Stab the passing averaged discharge depth of the difference between current time, battery, the charging that battery once lived through and/or discharge cycle
Number at least one.Battery remaining power estimating system is provided with dump energy memory capacity and remaining life gross energy is deposited
Capacity calculation module 14 is stored up, for using above-mentioned calculating parameter to calculate the remaining life gross energy memory capacity of battery.
Preferably, a real-time clock is set to record the time, thus easily calculate battery first time charging and/or
Multiple time parameters such as the difference between the timestamp and current time of discharge cycle.
Wherein, the self discharge amount of battery is that battery was completed in a set time after a charge cycle, and
In the case that battery does not have external discharge circuit, the charged state of battery declines percentage, and the charged state of battery declines
Percentage can be calculated by formula 2.
Wherein, σ0It is the charged state of the battery when the set time starts, σFIt is the charging shape of battery at the end of the set time
State.
In order to calculate specific remaining battery life gross energy memory capacity, need to one or more battery at one
Or the known remaining life gross energy memory capacity at multiple time points and corresponding battery are in the meter at corresponding time point
It calculates parameter to be counted, analyzed, such as calculating analysis is carried out by the Return Law or neural network, to calculate the surplus of battery
Mathematical relationship between remaining service life gross energy memory capacity and calculating parameter.In the present embodiment, mathematical relationship calculates that module 15 is used
In to one or more battery in the known remaining life gross energy memory capacity at one or more time point and opposite
The battery answered corresponding time point known dump energy memory capacity or dump energy memory capacity index, complete
At in a set time after a charge cycle self discharge amount, for the first time charging and/or discharge cycle timestamp and
Poor, passing averaged discharge depth, the number of charging and/or discharge cycle once lived through between corresponding time point etc.
At least one calculating parameter analyzed, calculate mathematical relationship.
Firstly, collect one or more battery in the known data of a large amount of cases at one or more time point,
As case 1,2 ..., the data of n, it is surplus at corresponding time point that one group of data of each case include: corresponding battery
Remaining service life gross energy memory capacity, the index of dump energy memory capacity or dump energy memory capacity, complete one fill
The timestamp of the self discharge amount in a set time after the electric period, for the first time charging and/or discharge cycle and it is corresponding when
Between point between poor, passing averaged discharge depth and/or the charging and/or discharge cycle that once live through number.Build base
In the known data of these cases, mathematical relationship can be calculated using the Return Law or neural network.
When using the Return Law, using the remaining life gross energy memory capacity of battery at some time point as dependent variable y, and
With battery this time point dump energy memory capacity or dump energy memory capacity index, complete one charging
Timestamp and this time point of the self discharge amount in a set time, first time charging and/or discharge cycle after period
Between difference, the passing averaged discharge depth of battery and/or the charging and/or discharge cycle that once live through number as each
A independent variable x1、x2、…、xm, and set a regression equation Wherein,For it is hypothesis, known, can with mathematic(al) representation express function,It is in case i by above-mentioned recurrence
The estimated value for the y that equation provides, x1,iIt is the x in case i1Value, xm,iIt is then the x in case imValue, so analogize,
β1,…,βpFor the regression coefficient (regression of unknown, real number (real number) each in the mathematic(al) representation
Coefficient [s]), p is a natural number,Represent set of real numbers (real number set).
Then β is sought using optimization method1,…,βpOptimum value b1,…,bp, to minimize
Wherein, yiIt is the value of the y in case i,For a monotonic increase (monotonically increasing) letter
Number.Above-mentioned optimization method can be traditional calculus methods, genetic algorithm (genetic algorithm) etc..Finally will
b1,…,bpAbove-mentioned regression equation is substituted into, required relationship is become.
When calculating mathematical relationship using neural network (neural network) method, with the residue of battery at some time point
Output (output) y of service life gross energy memory capacity as neural network, and with battery this time point dump energy
The index of memory capacity or dump energy memory capacity completes putting in a set time after a charge cycle certainly
The passing averaged discharge of electricity, for the first time timestamp and the difference between this time point, battery of charging and/or discharge cycle is deep
The each input (input [s]) of degree and/or the number of the charging and/or discharge cycle that once live through as neural network
x1、…、xm, and the neural network is set as some structure, and assumes that the neural network is represented by following equation:Wherein,For it is hypothesis, unknown, not necessarily can be with mathematics
The function of expression formula expression,It is the estimated value of the y provided in case i by above-mentioned equation, x1,iIt is the x in case i1Value,
xm,iIt is the x in case imValue, so analogize, π1、…、πqFor unknown, real number parameter each in the neural network
(parameter [s]), by π when initial1、…、πqIt is respectively set asQ is a natural number,Represent real number
Collect (real number set).And assume there is activation primitive (activation known to one or more in the neural network
function[s])。
Then exercise supervision study (supervised learning), i.e., willInput the nerve net
Network, to seekIt updatesMake to respectively become
It willThe neural network is inputted, to seek It updatesMake to respectively becomeSo analogize, calculates repeatedly, it willIt is defeated
Enter the neural network, to seek It updatesMake respectively at
ForWherein, { i1,…,in}={ 1 ..., n }.It is above to update Purpose be to minimizeWherein, yiIt is the value of the y in case i,For the function of a monotonic increase.
Although finally, cannot also not need theoretically to obtainBut it willSubstitute into the parameter π of above-mentioned neural network1、…πq, neural network obtained is required calculates
Mathematical relationship, in other words, when inputting any x1、…、xmThe value of y that is exported to the neural network, the neural network of value
It is exactly and x1、…、xmValue between there are above-mentioned mathematical relationships.
After obtaining above-mentioned mathematical relationship, by measured by calculating parameter logging modle 13 and/or record calculating parameter generation
Enter or input above-mentioned mathematical relationship, dump energy memory capacity and remaining life gross energy memory capacity computing module 14 calculate
The remaining life gross energy memory capacity of battery out, such as: dump energy memory capacity and remaining life gross energy memory capacity
Above-mentioned parameter is substituted into the independent variable x of above-mentioned regression equation by computing module 141、x2、…、xmIn, the dependent variable y of the regression equation
Provide the remaining life gross energy memory capacity or dump energy memory capacity and remaining life gross energy memory capacity of battery
Above-mentioned parameter is inputted the x of above-mentioned neural network by computing module 141、…、xm, the y which is exported provides the surplus of battery
Remaining service life gross energy memory capacity.
Certainly, it when calculating the dump energy memory capacity of battery, can also first be stored using the dump energy of known battery
Relationship between capacity and calculating parameter extrapolates a mathematical relationship, reapplies the calculating of this mathematical relationship and present battery
Parameter calculates the dump energy memory capacity of present battery.For example, collecting one or more battery at one or more
The known data of a large amount of cases at time point, as case 1,2 ..., the data of n, one group of data of each case include: phase
Corresponding battery corresponding time point dump energy memory capacity and corresponding battery corresponding time point meter
Parameter is calculated, calculating parameter may include the index of dump energy memory capacity, a fixation after completing a charge cycle
The timestamp of self discharge amount in time, for the first time charging and/or discharge cycle and poor, passing between corresponding time point
Averaged discharge depth and/or the charging once lived through and/or the number of discharge cycle etc..Then, it builds based on these cases
Known data can calculate that one is used to calculate battery remaining power memory capacity using the Return Law or neural network
Mathematical relationship.The process of mathematical relationship is calculated using the Return Law or neural network and is calculated for calculating remaining battery life
The process of the mathematical relationship of gross energy memory capacity is identical, repeats no more.
After extrapolating the mathematical relationship for calculating battery remaining power memory capacity, pass through calculating parameter logging modle 13
The above-mentioned calculating parameter of present battery is obtained, then dump energy memory capacity and remaining life gross energy memory capacity calculate mould
Block 14 calculates the dump energy memory capacity of battery using these calculating parameters and mathematical relationship.
Referring to Fig. 3, when estimating the residual capacity of battery, battery is measured and records first the first of charge cycle
Initial state of charge under time point and the final charged state under the second time point of charge cycle, i.e. execution step
S1。
Also, step S2 is executed, when measuring by measuring device and being recorded in charge cycle first time point with second
Between be input to the energy of battery between point, then execute step S3, calculate the index of the dump energy memory capacity of battery, example
Such as, the index of the dump energy memory capacity of battery is calculated according to formula 1 by computer.
After calculating the index of dump energy memory capacity of battery, the dump energy memory capacity of battery is also calculated
And/or remaining life gross energy memory capacity, step S4 is executed at this time, obtains at least one calculating parameter, those calculating parameters
In addition to optionally including the dump energy memory capacity of calculated battery or the index of dump energy memory capacity, also
Battery is optionally included in the first time charging for completing the self discharge amount in a set time after a charge cycle, battery
And/or the passing averaged discharge depth of the difference between the timestamp and current time of discharge cycle, battery, battery once lived through
Charging and/or the number of discharge cycle etc..Self discharge amount can be measured using measuring device and be calculated acquisition, self discharge
The calculation method of amount and the method for foregoing description are identical, repeat no more.And battery first time charging and/or discharge cycle when
Between stamp, the passing averaged discharge depth of battery, the charging that battery once lived through and/or discharge cycle number can pass through this
The battery remaining power estimating system of invention automatically records constantly, can also be manually recorded and in the dump energy for calculating battery
It is input in battery remaining power estimating system of the invention when memory capacity and/or remaining life gross energy memory capacity.
Finally, executing step S5, the dump energy memory capacity and/or remaining life of applied mathematics relationship calculating battery are total
Energy storage capacity.Preferably, the dump energy memory capacity and/or remaining life gross energy memory capacity of battery and calculating are joined
Several mathematical relationships is calculated in advance and is stored in battery remaining power estimating system of the invention, calculates the residual energy of battery
When measuring memory capacity and/or remaining life gross energy memory capacity, it is only necessary to substitute into or be input to the mathematics for calculating parameter
Relationship, computer can obtain corresponding calculating parameter from multiple measuring devices automatically, to realize dump energy memory capacity
And/or the estimation of remaining life gross energy memory capacity.
The dump energy memory capacity of battery can be calculated by the above method and/or the storage of remaining life gross energy is held
Amount, provides foundation for the Economic Value Evaluation of battery.It, can also be in addition, it is necessary to the occasion replacing battery or charging the battery
According to data such as the remaining life gross energy memory capacity of battery, the dump energy memory capacity of battery as judgment basis.
Certainly, above-mentioned scheme is the preferred embodiment of the invention, and when practical application can also have more variations,
It should can also be calculated with other methods when for example, calculating mathematical relationship, alternatively, when calculating mathematical relationship, not necessarily using upper
All calculating parameters to continue are given an account of, wherein one or more calculating parameters are only used, alternatively, not necessarily directly using above-mentioned introduction
Calculating parameter, but using has agency (proxy) calculating parameter of similar meaning with its door；Or using it is more its
His calculating parameter is come dump energy memory capacity and/or the remaining life gross energy memory capacity etc. that calculate battery, these changes
Implementation of the invention is had no effect on, comprising within the scope of the present invention.
Claims (8)
1. the evaluation method of battery remaining power characterized by comprising
Estimate the dump energy memory capacity of battery, comprising:
The initial state of charge of the battery is measured in the first time point of the charge cycle of battery, the of the charge cycle
The final charged state of battery described in two point in time measurement, second time point are later than the first time point；
Measurement first time point described in the charge cycle and the energy that the battery is input between second time point
Amount；
Using the initial state of charge, the final charged state and it is input to electricity described in the energy balane of the battery
The index of the dump energy memory capacity in pond；
This method further include:
It obtains the battery and completes the self discharge amount in a set time after a charge cycle；And/or
Obtain difference of the battery for the first time between charging and/or the timestamp and current time of discharge cycle；And/or
Obtain the passing averaged discharge depth of the battery；And/or
Obtain the number of charging and/or discharge cycle that the battery once lived through；And
It is one at least below:
Calculate the dump energy memory capacity of the battery using the first calculating parameter, first calculating parameter include at least with
One of lower parameter: the index of the dump energy memory capacity of the battery, the self discharge amount of the battery, described
It is passing described in poor, the described battery between the first time charging of battery and/or the timestamp and current time of discharge cycle
Averaged discharge depth, the charging and/or discharge cycle that once lived through described in the battery number；
The remaining life gross energy memory capacity of the battery is calculated using the second calculating parameter, second calculating parameter is at least
One including following parameter: the index of the dump energy memory capacity of the battery or dump energy memory capacity,
The self discharge amount of the battery, the first time charging of the battery and/or discharge cycle timestamp and it is current when
Between between poor, the described battery described in passing averaged discharge depth, the charging that once lived through described in the battery and/or put
The number in electric period.
2. the evaluation method of battery remaining power according to claim 1, it is characterised in that:
Calculate the index of the dump energy memory capacity of the battery are as follows: will enter into the energy of the battery divided by
Difference between the final charged state and the initial state of charge.
3. the evaluation method of battery remaining power according to claim 1, it is characterised in that:
Calculate the dump energy memory capacity of the battery are as follows:
Record one or more battery one or more time point known dump energy memory capacity with it is corresponding
Battery first calculating parameter known to corresponding time point, calculate the battery known dump energy storage
The first mathematical relationship between capacity and known first calculating parameter；
It is stored using the dump energy that first calculating parameter of present battery, first mathematical relationship calculate present battery
Capacity；
Calculate the remaining life gross energy memory capacity of the battery are as follows:
Record one or more battery one or more time point known remaining life gross energy memory capacity with
Corresponding battery second calculating parameter known to corresponding time point calculates the known remaining longevity of the battery
Order the second mathematical relationship between gross energy memory capacity and known second calculating parameter；
The remaining life total energy of present battery is calculated using second calculating parameter of present battery, second mathematical relationship
Measure memory capacity.
4. the evaluation method of battery remaining power according to claim 3, it is characterised in that:
First mathematical relationship and the second mathematical relationship application Return Law or neural network, which calculate, to be obtained.
5. the estimating system of battery remaining power, which is characterized in that including
Charged state logging modle measures and records the initial charge shape of the battery in the first time point of battery charge cycle
State, the charge cycle the second point in time measurement and record the final charged state of the battery, second time point
It is later than the first time point；
Input energy measurement module measures and is recorded in first time point described in the charge cycle and second time point
Between be input to the energy of the battery；
Dump energy memory capacity index computing module uses the initial state of charge, the final charged state and input
The index of the dump energy memory capacity of battery described in the energy balane to the battery；
Calculating parameter logging modle, for measure and/or record following calculating parameter at least one: the battery it is described surplus
The index of complementary energy memory capacity or dump energy memory capacity, the battery one after completing a charge cycle solid
The first time of self discharge amount, the battery in fixing time charges and/or the first time of the timestamp of discharge cycle, the battery
The passing averaged discharge depth of poor, described battery between charging and/or the timestamp and current time of discharge cycle, the electricity
The number of charging and/or discharge cycle that pond once lived through；
Dump energy memory capacity and remaining life gross energy memory capacity computing module calculate institute using above-mentioned calculating parameter
State the dump energy memory capacity of battery and/or the remaining life gross energy memory capacity of the battery.
6. the estimating system of battery remaining power according to claim 5, it is characterised in that:
The energy that the dump energy memory capacity index computing module will enter into the battery is finally filled divided by described
Difference between electricity condition and the initial state of charge calculates the index for obtaining the dump energy memory capacity.
7. the estimating system of battery remaining power according to claim 5 or 6, which is characterized in that further include:
Mathematical relationship calculates module, is at least used for one of following functions:
Analyze one or more battery one or more time point known dump energy memory capacity with it is corresponding
Battery calculating parameter known to corresponding time point, calculate dump energy memory capacity known to the battery with
The first mathematical relationship between the known calculating parameter；
Analyze one or more battery one or more time point known remaining life gross energy memory capacity with
Corresponding battery calculating parameter known to corresponding time point, calculates remaining life total energy known to the battery
Measure the second mathematical relationship between memory capacity and the known calculating parameter；
The dump energy memory capacity and remaining life gross energy memory capacity computing module calculate the residual energy of the battery
Measure memory capacity, comprising:
It is stored and is held using the dump energy that the calculating parameter of present battery, first mathematical relationship calculate present battery
Amount；
The dump energy memory capacity and remaining life gross energy memory capacity computing module calculate the remaining longevity of the battery
Order gross energy memory capacity, comprising:
It is deposited using the remaining life gross energy that the calculating parameter of present battery, second mathematical relationship calculate present battery
Store up capacity.
8. the estimating system of battery remaining power according to claim 7, it is characterised in that:
First mathematical relationship and the second mathematical relationship application Return Law or neural network, which calculate, to be obtained.
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| CN201610378254.6A CN106154170B (en) | 2016-05-31 | 2016-05-31 | The evaluation method and system of battery remaining power |
| PCT/CN2016/098099 WO2017206387A1 (en) | 2016-05-31 | 2016-09-05 | Method and system for estimating remaining capacity of battery |
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| CN108776308A (en) * | 2018-04-26 | 2018-11-09 | 北京长城华冠汽车科技股份有限公司 | Estimate the method and device of battery remaining power |
| CN113484779B (en) * | 2021-06-28 | 2023-09-01 | 浙江吉利控股集团有限公司 | Method and device for estimating remaining charging time of battery |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1126320A (en) * | 1994-09-16 | 1996-07-10 | 雅考埃普森株式会社 | Battery capacity meter and battery capacity calculation method |
| CN101141077A (en) * | 2006-09-04 | 2008-03-12 | 富士通株式会社 | Battery control device, battery control method, power source control device and electronic apparatus |
| CN102077105A (en) * | 2008-06-27 | 2011-05-25 | 通用汽车环球科技运作公司 | Method for battery capacity estimation |
| CN103809125A (en) * | 2014-02-13 | 2014-05-21 | 清华大学 | Method and system for estimating residual discharge capacity of lithium ion battery |
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| CN102520366B (en) * | 2011-12-23 | 2014-11-12 | 上海交通大学 | Electric car cell safety and health assessment system and method thereof |
| CN102590755B (en) * | 2012-02-13 | 2014-06-25 | 北京海博思创科技有限公司 | Method and device for acquiring lithium ion battery capacity |
| US20140100802A1 (en) * | 2012-10-08 | 2014-04-10 | Energy Pass Incorporation | Method and computer system for measuring remaining battery capacity |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1126320A (en) * | 1994-09-16 | 1996-07-10 | 雅考埃普森株式会社 | Battery capacity meter and battery capacity calculation method |
| CN101141077A (en) * | 2006-09-04 | 2008-03-12 | 富士通株式会社 | Battery control device, battery control method, power source control device and electronic apparatus |
| CN102077105A (en) * | 2008-06-27 | 2011-05-25 | 通用汽车环球科技运作公司 | Method for battery capacity estimation |
| CN103809125A (en) * | 2014-02-13 | 2014-05-21 | 清华大学 | Method and system for estimating residual discharge capacity of lithium ion battery |
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