CN106855610A - Lithium titanate battery health status estimating system and method - Google Patents
Lithium titanate battery health status estimating system and method Download PDFInfo
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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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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Abstract
Lithium titanate battery health status estimating system and method that the present invention is provided, methods described include：Charge/discharge is carried out to battery with constant current, and records the electricity of charge and discharge cycles releasing；Calculate the corresponding specific heat capacity of charge and discharge cycles chosen；Seek the relation curve of cell health state and specific heat capacity and verify accuracy；Estimate the trend of cell health state.The change of specific heat capacity of the technical scheme that the application is provided using lithium titanate battery in attenuation process is modified to it, both influence of traditional aging action to cell health state had been embodied, specific heat capacity modifying factor is added again, so that new cell health state forecast model has to the health status of lithium titanate battery more accurately predicting, the precision of model is improve.
Description
Technical field
The present invention relates to health status estimation field, in particular to lithium titanate battery health status estimating system and side
Method.
Background technology
Interval that the regenerative resources such as wind-powered electricity generation, solar energy exist when electric energy is converted into and the characteristic such as uncontrollable, cause it
Extensive can generation to the safety and stability of power network when accessing power network have a strong impact on, it is therefore desirable to which energy storage technology realizes dynamic supply and demand
The assistant service such as balance and offer peak-frequency regulation.In existing numerous energy storage technologies, lithium ion battery has energy close with it
Degree is high, have extended cycle life, it is environment-friendly the features such as and be used widely.But at the same time, the safety problem of lithium ion battery
Also become increasingly conspicuous.The health status (SOH, State of Health) for how accurately estimating battery is to ensure lithium ion battery
The key of safe operation.
The SOH of lithium battery refers to the current capacity of lithium battery, characterize under certain condition, lithium battery to be filled with or
The electricity of releasing and the percentage of battery nominal capacity additionally can according to the internal resistance of battery, power density and energy density come
Definition.As formula 1. shown in formula define,
With the accumulation of lithium battery cycle-index and storage time, the capacity of battery can gradually reduce (aging), so that lithium
The health status of battery is also gradually reduced.
Declines of the battery SOH in storing process refers to by self-discharge of battery, battery material characteristic during battery storage
The cell degradation phenomenon that change etc. causes；Declines of the battery SOH during recycling refers to that battery use (is charged and put
Electricity) during the cell degradation phenomenon that causes of electrochemical reaction and battery material characteristic variations.Therefore according to different old of battery
Change mechanism, the SOH of battery can be estimated using different modeling patterns.The modeling pattern of current lithium battery SOH is main
Have：Electrochemical model, empirical model and circuit model three major types.Wherein, during electrochemical model Main Basiss cell decay
The change of inside battery electrochemical parameters is weighed, high precision, but model construction is complicated, and the scope of application is small；Empirical model is main
From the Monitoring Data in cell operation, () such as temperature, internal resistance, voltage, electric current, model is simple, but experimental period is long；
Circuit model be then from electrotechnics angle, lithium ion battery is equivalent into a circuit model, though the model can realize electricity
The monitor in real time of pond SOH, but precision is poor.
Lithium titanate battery is the lithium ion battery with lithium titanate as negative material, and lithium titanate material is compared to traditional graphite
Negative material has " zero strain ", the features such as discharge platform is high, therefore the cycle performance and security performance of lithium titanate battery have
Larger raising.
But lithium titanate battery is easy to flatulence in discharge and recharge and during shelving, especially in hot environment, the gas of generation
The main component of body is H2、CO、CO2With alkanes gas.After lithium titanate battery flatulence, battery volume increase, both positive and negative polarity and
Barrier film is no longer in close contact, and can cause battery failure, so as to have a strong impact on the service life of battery.Flatulence phenomenon is lithium titanate electricity
The distinctive phenomenon in pond, be not in then in traditional Carbon anode battery, therefore in traditional lithium battery SOH estimating techniques simultaneously
The influence of flatulence is not accounted for, carrying out estimation to lithium titanate battery system using traditional lithium battery SOH estimating techniques can produce
Larger error.
For this reason, it may be necessary to a kind of lithium titanate battery health status estimating system and method, can more accurately predicted titanium
The SOH of acid lithium battery, overcomes defect larger to lithium titanate battery system estimation error in the prior art.
The content of the invention
In order to solve the above-mentioned deficiency in the presence of prior art, the present invention provides lithium titanate battery health status estimation side
Method, methods described comprises the following steps：
(1) charge and discharge cycles are carried out to battery with constant current, and records the electricity of charge and discharge cycles releasing；
(2) the corresponding specific heat capacity of charge and discharge cycles chosen is calculated；
(3) cell health state SOH and specific heat capacity C is soughtpRelation curve, and verify accuracy；
(4) trend of cell health state is estimated.
Preferably, the step (1) includes：Charged with constant 0.2-1C current versus cells, constant 0.02-0.1C electricity
Stream discharges battery, and records the electricity of each charge and discharge cycles releasing.
Preferably, the specific heat capacity C of the step (2)pIt is calculated as follows：
Cp=Q/ (m Δ T) (1)
In formula, Q：Caloric value, m：The quality of battery, Δ T：The temperature difference before and after Cell Experimentation An；
The scatterplot relation of the corresponding currently practical battery capacity of the circulation and specific heat capacity is shown below：
Cp=g (Ci) (2)
Preferably, the cell health state of the step (3) is shown below with the relation curve of specific heat capacity：
SOH=F (Cp) (3)
In formula, Cp：Specific heat capacity；SOH：Cell health state.
Preferably, the cell health state SOH is shown below：
In formula, Ci'：The present battery capacity obtained using model；C0：Initial nominal capacity；
Preferably, the accuracy of the model of the step (3) is verified as the following formula：
In formula, SOH'j：The present battery health status obtained using the relation curve of cell health state and specific heat capacity；
SOHj：Currently practical cell health state；j：Battery jth time circulation.
Preferably, the capacity attenuation curve modelIt is shown below：
In formula, Ni：Circulating battery number of times.
Preferably, the estimation of the trend of step (3) cell health state includes：
The specific heat capacity of A, measurement mesuring battary, obtains cell health state；
B, it is contrasted with the relation curve of cell health state and specific heat capacity；
C, according to comparing result, estimate the trend of cell health state.
Lithium titanate battery health status estimating system, the system includes：Single chip control module and respectively with single-chip microcomputer
Alternating-current pulse output module, battery module, display module and detection module that control module is connected.
Preferably, the single chip control module includes data receiver part, data analysis component, data processing and result
Output par, c；
The data receiver part is connected to receive battery module for exchanging that alternating-current pulse is exported with battery module
The response signal data that pulse signal is made, the data analysis component is connected to analysis and receives with the data receiver part
The response signal data for arriving, the data processing section is connected to response signal number after analysis with the data analysis component
According to being processed, the result transmitting portion is connected to the knot of data processing with data processing section and display module respectively
Fruit is displayed in display module.
Compared with immediate prior art, the present invention has following excellent effect：
Lithium titanate battery health status estimating system and method that the present invention is provided, the capacity for relying on lithium titanate battery decline
Subtract curve model, the change of the specific heat capacity using lithium titanate battery in attenuation process is modified to it, generate battery health
State and the relation curve of specific heat capacity, had both embodied influence of traditional aging action to cell health state, and ratio is added again
Thermal capacitance modifying factor, so that cell health state forecast model has more accurately pre- to the health status of lithium titanate battery
Survey, improve the precision of model.
Brief description of the drawings
Fig. 1 is the heating curve figure of lithium titanate battery of the invention；
Fig. 2 is lithium titanate battery capacity attenuation curve map of the invention；
Fig. 3 is lithium titanate battery health status of the invention and specific heat capacity curve map.
Specific embodiment
For a better understanding of the present invention, present disclosure is done further with reference to Figure of description and example
Explanation.
The specific heat capacity characteristic that the present invention is directed to battery is estimated the health status of battery, therefore the embodiment of the present invention
It is only applicable to the battery that the specific heat capacity during capacity attenuation is changed greatly.
Fig. 2 is the capacity attenuation curve map of lithium titanate battery, and scatterplot is to be recorded during battery experiences 10000 cyclic processes
Battery capacity, curve is the capacity attenuation curve that fitting is obtained, and capacity attenuation formula is：
C=C0-0.6234*exp[(x-1385.59)/3144.34]-0.6234*exp[(x-1385.59)/3144.2] (1)
Wherein, C is the battery capacity after fitting, and x is cycle-index.
Technical scheme proposed by the present invention is illustrated with specific embodiment further below, based on specific heat capacity detection
Lithium titanate battery health status evaluation method, comprising following step：
(1) charge/discharge is carried out to battery with constant current, and records the electricity of charge and discharge cycles releasing:
The embodiment of the present invention is the lithium titanate soft-package battery of 50Ah from rated capacity, with constant 0.2-1C current versus cells
Charged, blanking voltage is 2.7V；Constant 0.02-0.1C current versus cells are discharged, and blanking voltage is 1.5V, and is recorded
The electricity that each charge and discharge cycles is released.
(2) certain corresponding capability retention of circulation and specific heat capacity are calculated：
The charge and discharge cycles number of times of real time record battery, reaches 500,1000,1500 ... ... in cycle-index, 10000 times
When battery is removed from discharge and recharge instrument, the discharge capacity of record now battery, and record circulating battery times N nowi.Will
It is placed in ARC, the adiabatic environment provided using ARC, test battery caloric value Q in this condition, and ratio is tried to achieve using formula
Thermal capacitance Cp, obtain the scatterplot relation of specific heat capacity and capability retention.
As shown in figure 1, by the slope of straight line specific heat capacity can be tried to achieve：
Cp=Q/ (m Δ T) (2)
Currently practical battery capacity is with the scatterplot relation of capability retention：
Cp=g (Ci) (3)
In formula, Q：Caloric value, m：The quality of battery, Δ T：The temperature difference before and after Cell Experimentation An；
(3) relation curve of cell health state and specific heat capacity is sought, and verifies accuracy：
A, the relation curve for asking cell health state and specific heat capacity
According to the N of recordi, correspondence obtains C in capacity attenuation curvei', and formula is utilized by Ci' SOH is changed into, so that
By specific heat capacity and the scatterplot relation of capability retention, the scatterplot relation of cell health state and specific heat capacity is converted into, scatterplot is entered
Row fitting, obtains the relation curve of cell health state and specific heat capacity, and relational expression is as follows：
Specific implementation such as Fig. 3, solid line is battery SOH prediction curves, and dotted lines are battery SOH actual values.It is wherein true
Be worth is that battery capacity and battery capacity decay combine the match value for obtaining.
Cell health state is shown below with the relation curve of specific heat capacity：
SOH=F (Cp) (5)
In formula, Cp：Specific heat capacity；SOH：Cell health state.
Cell health state SOH is shown below：
In formula, Ci'：The present battery capacity obtained using capacity attenuation curve model；C0：Initial nominal capacity；
Capacity attenuation curve modelIt is shown below：
In formula, Ni：Circulating battery number of times.
The accuracy of B, checking model：
Predicted value is tested by formula below.
In formula, SOH'j：The present battery health status obtained using the relation curve of cell health state and specific heat capacity；
SOHj：Currently practical cell health state；j：Battery jth time circulation.When battery current health state and the actual health of battery
Error between state represents that the model is more accurate within 5%, that is,.
(4) trend of cell health state is estimated：
The codomain of battery status appraising model as battery health status bound, codomain can set by actual conditions.
By measuring the specific heat capacity of mesuring battary, the health status of mesuring battary can be obtained, by it with Fig. 3 in relation curve pair
Than, you can the trend of prediction cell health state.
Based on the lithium titanate battery health status estimating system of specific heat capacity detection, system includes：Single chip control module and
Alternating-current pulse output module, battery module, display module and the detection module being connected with single chip control module respectively.
Single chip control module includes data receiver part, data analysis component, data processing and result output par, c；
Data receiver part is connected to receive alternating-current pulse of the battery module for alternating-current pulse output with battery module
The response signal data that signal is made, data analysis component is connected to analyze the response for receiving with the data receiver part
Signal data, data processing section is connected to process response signal data after analysis with the data analysis component,
As a result transmitting portion is connected to include the result of data processing in display mould respectively with data processing section and display module
In block.
Detection module is electrically connected with battery module, for detecting the voltage and current in circuit, and records the electricity for detecting
Pressure and current value；
Battery module is lithium-ion-power cell；
Alternating-current pulse output module exports two kinds of pulse signals of frequency to connected battery module respectively；This
The pulse signal of two kinds of frequencies is respectively the pulse signal of 5963Hz and 3Hz frequencies.
The data receiver part of single chip control module, receives the voltage and current value information of detection module transmission, is transmitted to
Data analysis component carries out data analysis, and data results are transferred into data processing section, and data processing section is according to number
The estimation of cell health state trend is carried out according to analysis result, estimation result is then transferred to result output par, c.
Result output par, c and the display portion of single chip control module are joined directly together, and result is carried out by display portion
Display.
Embodiments of the invention are these are only, is not intended to limit the invention, it is all in the spirit and principles in the present invention
Within, any modification, equivalent substitution and improvements done etc., be all contained in the pending scope of the presently claimed invention of application it
It is interior.
Claims (10)
1. lithium titanate battery health status evaluation method, it is characterised in that methods described includes：
(1) charge and discharge cycles are carried out to battery with constant current, and records the electricity of charge and discharge cycles releasing；
(2) the corresponding specific heat capacity C of charge and discharge cycles for choosing is calculatedp；
(3) cell health state SOH and specific heat capacity C is soughtpRelation curve, and verify accuracy；
(4) trend of cell health state is estimated.
2. lithium titanate battery health status evaluation method as claimed in claim 1, it is characterised in that the step (1) includes：
Charged with constant 0.2-1C current versus cells, constant 0.02-0.1C current versus cells are discharged, and record each charge and discharge
The electricity that electricity circulation is released.
3. lithium titanate battery health status evaluation method as claimed in claim 1, it is characterised in that the C of the step (2)pPress
Following formula is calculated：
Cp=Q/ (m Δ T) (1)
In formula, Q：Caloric value, m：The quality of battery, Δ T：The temperature difference before and after Cell Experimentation An；
The scatterplot relation of the corresponding currently practical battery capacity of the circulation and specific heat capacity is shown below：
Cp=g (Ci) (2) 。
4. lithium titanate battery health status evaluation method as claimed in claim 1, it is characterised in that the electricity of the step (3)
Pond health status is shown below with the relation curve of specific heat capacity：
SOH=F (Cp) (3)
In formula, Cp：Specific heat capacity.
5. lithium titanate battery health status evaluation method as claimed in claim 4, it is characterised in that the SOH such as following formula institutes
Show：
In formula, C 'i：The present battery capacity obtained using capacity attenuation curve model；C0：Initial nominal capacity.
6. lithium titanate battery health status evaluation method as claimed in claim 4, it is characterised in that verify the electricity as the following formula
Pond health status SOH and specific heat capacity CpThe accuracy of relation curve be shown below：
In formula, SOH'j：The present battery health status obtained using the relation curve of cell health state and specific heat capacity；SOHj：
Currently practical cell health state；j：Battery jth time circulation.
7. the lithium titanate battery health status evaluation method as described in claim 5 or 6, it is characterised in that the capacity attenuation
Curve modelIt is shown below：
In formula, Ni：Circulating battery number of times.
8. lithium titanate battery health status evaluation method as claimed in claim 1, it is characterised in that step (4) battery
The estimation of the trend of health status includes：
The specific heat capacity of A, measurement mesuring battary, obtains cell health state；
B, it is contrasted with the relation curve of cell health state and specific heat capacity；
C, according to comparing result, estimate the trend of cell health state.
9. lithium titanate battery health status estimating system, it is characterised in that the system includes：Single chip control module and difference
Alternating-current pulse output module, battery module, display module and the detection module being connected with single chip control module.
10. lithium titanate battery health status estimating system as claimed in claim 9, it is characterised in that the Single-chip Controlling
Module includes data receiver part, data analysis component, data processing and result output par, c；
The data receiver part is connected to receive alternating-current pulse of the battery module for alternating-current pulse output with battery module
The response signal data that signal is made, the data analysis component is connected to analyze what is received with the data receiver part
Response signal data, the data processing section is connected to enter response signal data after analysis with the data analysis component
Row treatment, the result transmitting portion is connected to show the result of data processing respectively with data processing section and display module
Show in display module.
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| CN111624493A (en) * | 2019-02-28 | 2020-09-04 | 北京新能源汽车股份有限公司 | Method and device for determining state of health (SOH) of battery and detection equipment |
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| US20230393206A1 (en) * | 2021-02-24 | 2023-12-07 | Pmgrow Corporation | Evaluation method and device according to purposes of reusable battery |
| CN117665630A (en) * | 2024-02-01 | 2024-03-08 | 云储新能源科技有限公司 | Battery life prediction method and system based on charge-discharge cycle data |
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| CN113015918A (en) * | 2018-08-31 | 2021-06-22 | Avl李斯特有限公司 | Method for determining state of health of secondary battery and battery management system |
| CN113015918B (en) * | 2018-08-31 | 2024-04-02 | Avl李斯特有限公司 | Method for determining state of health of secondary battery and battery management system |
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| US12007447B2 (en) * | 2021-02-24 | 2024-06-11 | Pmgrow Corporation | Evaluation method and device according to purposes of reusable battery |
| CN117665630A (en) * | 2024-02-01 | 2024-03-08 | 云储新能源科技有限公司 | Battery life prediction method and system based on charge-discharge cycle data |
| CN117665630B (en) * | 2024-02-01 | 2024-04-12 | 云储新能源科技有限公司 | Battery life prediction method and system based on charge-discharge cycle data |
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