CN107202960A - Electrokinetic cell life-span prediction method - Google Patents
Electrokinetic cell life-span prediction method Download PDFInfo
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- CN107202960A CN107202960A CN201710381912.1A CN201710381912A CN107202960A CN 107202960 A CN107202960 A CN 107202960A CN 201710381912 A CN201710381912 A CN 201710381912A CN 107202960 A CN107202960 A CN 107202960A
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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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- 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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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Abstract
The invention discloses a kind of electrokinetic cell life-span prediction method, including：According to battery cell life time decay speed, the battery capacity decling phase is determined；Set up capability retention and chemical reaction rate and the capacity attenuation model of time；With reference to the battery capacity decling phase, cycle life attenuation model and calendar life attenuation model are obtained；Using battery cell test data, training cycle life attenuation model and calendar life attenuation model determine the parameter in model；According to cycle life attenuation model and calendar life attenuation model, generation cycle life attenuation curve and calendar life attenuation curve；Above-mentioned two curve is superimposed according to predetermined ratio, battery life predicting curve is obtained.The present invention is based on Arrhenius equations and internal resistance increase principle, multivariable is provided and carries out comprehensive consideration, the battery life predicting curve for more conforming to the Shi Jishiyong operating mode of battery is obtained, so as to be prevented effectively from the larger predicated error of appearance, the accuracy of forecast model is substantially improved.
Description
Technical field
The present invention relates to electrokinetic cell development field, more particularly to a kind of electrokinetic cell life-span prediction method.
Background technology
In recent years, each state is all actively developing research new-energy automobile, and lithium ion battery is so that energy density is big, work electricity
Pressure is high, have extended cycle life with the low feature of self-discharge rate, and the application in electrokinetic cell field is more and more.
The development process of lithium-ion-power cell is included in terms of electrical property, Core Feature, life-span, safety, wherein, the life-span
Exploitation is the most important thing, typically, and electrokinetic cell life test includes cycle life test and calendar life test, but at present
Existing Life Prediction Model is all to be proposed for cycle life and calendar life merely, does not meet the Shi Jishiyong process of battery
In be operating mode that circulation and calendar life are combined, predicated error is big；Further, existing Life Prediction Model is all rule of thumb mould
Type simplifies, it is considered to which variable is few, and error is big, again results in the problem of forecast model accuracy is low；In addition, electrokinetic cell is used
Life-span can reach 5-10, cause the checking test cycle long, take resource many, it is impossible to meet the exploitation of lithium-ion-power cell life-span
Demand, and conventional battery life accelerated test is all individualism, is not associated with Life Prediction Model, it is impossible to verify mould
The accuracy of type.
The content of the invention
It is an object of the invention to provide a kind of electrokinetic cell life-span prediction method, for solving existing Life Prediction Model
The Shi Jishiyong operating mode of battery is not met, causes the problem of predicated error is bigger than normal.
The technical solution adopted by the present invention is as follows：
A kind of electrokinetic cell life-span prediction method, including：
According to battery cell life time decay speed, the battery capacity decling phase is determined；
Principle is increased based on internal resistance, capability retention and chemical reaction rate and the relation of time is determined；Closed according to described
System and the battery capacity decling phase determine cycle life attenuation model structure and calendar life attenuation model structure；
The test data of battery cell is obtained, and using the test data as training data, training obtains the circulation
The parameter of the parameter of life time decay model and the calendar life attenuation model；
According to the cycle life attenuation model and the calendar life attenuation model, generation cycle life attenuation curve and
Calendar life attenuation curve；
The cycle life attenuation curve is superimposed with the calendar life attenuation curve according to predetermined proportionate relationship, obtained
To battery life predicting curve.
Preferably, the chemical reaction rate is obtained based on Arrhenius formula.
Preferably, the battery capacity decling phase includes：At least one rapid decay stage, and multiple slow-decays
Stage.
Preferably, the test data of the battery cell includes：Battery cell is deep in different charging or discharging currents, temperature, electric discharge
The test data that state of cyclic operation test after the lower cycle charge-discharge n times of degree is obtained, wherein, 1000≤N≤2000；Battery cell exists
The test data that the calendar life test after M months is obtained is stood under different temperatures, SOC, wherein, 12≤M≤24.
Preferably,
The cycle life attenuation model structure is：
The rapid decay stage：
The slow-decay stage：
The calendar life attenuation model structure is：
The rapid decay stage：
The slow-decay stage：
Wherein, Q is capability retention, and Q ' is the capability retention of the t in the rapid decay stage, TcellFor electricity
Pond monomer thermal equilibrium temperature, i is stage sequence number, QiFor stage i initial capacity conservation rate, EaReaction activity is represented, R is represented
Gas constant, tiFor stage i and stage i+1 critical moment, AiAnd BiRepresent cycle life and calendar life in stage i respectively
Pre-exponential factor.
Preferably, the parameter of the cycle life attenuation model includes Ea、Ai；The parameter of the calendar life attenuation model
Including Ea、Bi。
Preferably, the predetermined proportionate relationship includes：Based on ternary lithium battery, predetermined proportionate relationship is 1: 1.
Preferably, in addition to：According to the chemical reaction rate under high temperature and normal temperature, accelerated ratio is calculated；Wherein, institute
It is 45 DEG C~60 DEG C to state high temperature, and the normal temperature is 9 DEG C~35 DEG C.
Preferably, in addition to：The battery life predicting curve under the normal temperature is simulated, and is obtained according to the accelerated ratio
Battery life predicting curve under the high temperature.
The present invention has abandoned the existing life prediction mode simplified by empirical model, but with Arrhenius side
Comprehensive consideration is carried out there is provided multivariable based on journey and internal resistance increase principle, and cycle life test and calendar life are tested
It is combined, obtains the battery life predicting curve for more conforming to the Shi Jishiyong operating mode of battery, so that it is larger pre- to be prevented effectively from appearance
Error is surveyed, the accuracy of forecast model is substantially improved.
Brief description of the drawings
To make the object, technical solutions and advantages of the present invention clearer, the present invention is made into one below in conjunction with accompanying drawing
Step description, wherein：
The flow chart of the embodiment for the electrokinetic cell life-span prediction method that Fig. 1 provides for the present invention；
The schematic diagram for the battery capacity decling phase that Fig. 2 provides for the present invention；
Fig. 3 is superimposed out battery life predicting for the cycle life attenuation curve that the present invention is provided with calendar life attenuation curve
The schematic diagram of curve；
The schematic diagram for the different temperature points life prediction curve that Fig. 4 provides for the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not construed as limiting the claims.
The invention provides a kind of embodiment of electrokinetic cell life-span prediction method, as shown in figure 1, its step includes：
Step S1, according to battery cell life time decay speed, determine the battery capacity decling phase；
Firstly the need of explanation, the present invention is that by taking lithium battery as an example, therefore, angle described below is based on for lithium battery,
Certainly, those skilled in the art can be inspired by the present invention, apply the present invention to other materials battery；On continuing
Text, its life time decay of the lithium battery of different systems shows trend first quick and back slow, in order to more accurately set up electrokinetic cell
Life time decay model, thus the data of a large amount of battery cell life time decay speed can be concluded, battery capacity attenuation process is pressed
Period is divided into several different phases, according to universal law, wherein can include at least one rapid decay stage, Yi Jiduo
The individual slow-decay stage.Specific certain type electrokinetic cell life time decay curve synoptic diagram as shown in Figure 2, wherein, the first stage
The rate of decay is very fast, and second slows down successively to the fourth stage rate of decay.
Step S2, based on internal resistance increase principle, determine capability retention and chemical reaction rate and the relation of time；
The internal resistance of battery refers to battery operationally, and electric current flows through the resistance suffered by inside battery, and it is included in ohm
Resistance and polarization resistance, polarization resistance include activation polarization internal resistance and concentration polarization internal resistance again；The discharge and recharge of lithium ion battery
Journey is a chemical reaction process, and the internal resistance of battery is continually changing in charge and discharge process with the time, the concentration and temperature of electrolyte
Degree is all constantly changing, during battery use, and chemical change can occur for inside battery material, produces the larger thing of internal resistance
Matter, so, as use time is incremented by, the larger material of this internal resistance of inside battery is more and more, and then causes the internal resistance of cell
It is increasing, and temperature that is to say that upper chemical change has a major impact to the service life of electrokinetic cell, it is contemplated that chemical reaction
The influence that speed, internal resistance and temperature decay to battery life, can be based on Arrhenius in another embodiment of the present invention
Formula sets up capability retention and chemical reaction rate and the relational expression of time.
Step S3, cycle life attenuation model structure and day determined according to the relation and the battery capacity decling phase
Go through life time decay model structure；
, can be by above-mentioned capability retention and chemical reaction rate with reference to the battery capacity decling phase determined in step S1
And the relational expression of time is divided into following two form and embodied：
(1) cycle life attenuation model structure
The rapid decay stage：
The slow-decay stage：
(2) calendar life attenuation model structure
The rapid decay stage：
The slow-decay stage：
Wherein, Q is capability retention, and Q ' is the capability retention of the t in the rapid decay stage, TcellFor electricity
Pond monomer thermal equilibrium temperature, i is stage sequence number, QiFor stage i initial capacity conservation rate (such as Q1 shown in Fig. 2~
Q4), EaReaction activity is represented, R represents gas constant, tiFor stage i and stage i+1 critical moment, AiAnd BiRepresent respectively
The pre-exponential factor of cycle life and calendar life in stage i.
It is to be herein pointed out first, on the rapid decay stage in two kinds of model structures, can use as slow
The expressed intact of decling phase, but simplifying and optimize in view of model, use simple expression in the present embodiment；Second,
For cycle life and calendar life, identical expression way is employed, the purpose is to provide unification for two kinds of life tests
Contact basis, and so as to distinguishing existing respective independent form.
Step S4, the test data for obtaining battery cell, and using the test data as training data, training obtains institute
State the parameter of cycle life attenuation model and the parameter of the calendar life attenuation model；
, can be with the model for more adapting to battery life predicting optimized in order to be recognized to the parameter in model
The log expressions of Arrhenius equations are considered as linear reference, with reference to battery cell in different charging or discharging currents, temperature
The test data that state of cyclic operation test under degree, depth of discharge after cycle charge-discharge n times is obtained, and battery cell is in not equality of temperature
The test data that the calendar life test after M months is obtained is stood under degree, SOC, above-mentioned cycle life attenuation model structure is trained
With calendar life attenuation model structure, so that it is determined that going out the E in above-mentioned modela、AiAnd BiEtc. parameter, wherein, 1000≤N≤
2000,12≤M≤24；In a preferred embodiment of the invention, cycle charge-discharge is used during test 2000 times, and stood
The data of 12 months, are trained to above two model structure respectively.
Step S5, according to cycle life attenuation model and calendar life attenuation model, generation cycle life attenuation curve and
Calendar life attenuation curve；
Specifically, according to cycle life attenuation model and calendar life attenuation model, two kinds of life-spans are gone out using software emulation
Prediction curve schematic diagram, mentioned software is such as MATLAB.
Step S6, cycle life attenuation curve is superimposed with calendar life attenuation curve according to predetermined proportionate relationship after,
Obtain battery life predicting curve；
Predetermined proportionate relationship described herein is by taking ternary lithium battery as an example, and the proportionate relationship is 1: 1, in conjunction with Fig. 3 institutes
Show, wherein curve a is the cycle life gone out according to certain type electrokinetic cell cycle life attenuation model using MATLAB software emulations
Attenuation curve schematic diagram；Curve b is that the calendar life fitted according to calendar life attenuation model using MATLAB softwares is decayed
Curve synoptic diagram；Curve c is the proportionate relationship with 1: 1, by certain type electrokinetic cell being coupled out that curve a and curve b are superimposed
Use battery life predicting curve synoptic diagram；Herein it is also pointed out that, such as using other systems lithium battery or other materials electricity
Pond, the proportionate relationship can do accommodation for practical application.
Compared to prior art, the battery life predicting curve finally obtained by the above method and its preferred scheme, more
Plus meet battery cycle life and the compound operating mode of calendar life in actual use, furthermore, the present invention has been abandoned by experience
Model simplification and come life prediction mode, but by Arrhenius equations and internal resistance increase principle based on there is provided multivariable
Comprehensive consideration is carried out, and cycle life test and calendar life test are combined, is missed so as to be prevented effectively from the larger prediction of appearance
Difference, is substantially improved the accuracy of forecast model.
In addition, in another embodiment of the present invention, in order to shorten the cycle of checking battery life predicting curve, proposing
In the way of accelerated ratio is verified, specifically, according to the chemical reaction rate under high temperature and normal temperature, acceleration is calculated
Multiplying power, that is to say and compare the velocity coefficient in the Arrhenius equations under different temperatures, obtain a ratio, and the ratio is
For accelerated ratio；Wherein, for lithium battery, high temperature is generally 45 DEG C~60 DEG C, and normal temperature is then 9 DEG C~35 DEG C；Continue
Above, according to hereinbefore the step of battery life predicting curve under normal temperature is simulated in simulation software, further according to accelerating times
Rate obtains battery life predicting curve under high temperature.For example, as shown in figure 4, normal temperature and high temperature choose 35 DEG C and 45 DEG C respectively,
It is 8.5 to obtain accelerated ratio；Trendline A is certain the type electrokinetic cell life forecast at 35 DEG C emulated according to forecast model
Curve, Trendline B is certain type electrokinetic cell life forecast curve at 45 DEG C according to 8.5 times of accelerated ratio generation,
Accordingly, it may be said that certain bright type electrokinetic cell only needs to complete within 1.25 normally to use bar under accelerated test condition (45 DEG C)
The checking of the life forecast of electrokinetic cell 10 years (1.25 × 8.5) under part.
In view of vehicle life of business development time 1-2 or so, it is impossible to meet the exploitation of lithium-ion-power cell life-span
Demand, and conventional battery life accelerated test and the battery life predicting curve that the present invention is obtained are set up and associated by the present invention,
The test period is significantly shortened, objective resource consumption is saved.
It is described in detail construction, feature and the action effect of the present invention according to the embodiment shown in schema above, but more than
Described is only presently preferred embodiments of the present invention, but needs to explain, the technology involved by above-described embodiment and its preferred embodiment
Feature, those skilled in the art can close on the premise of not departing from, not changing the mentality of designing and technique effect of the present invention
Ground combination collocation is managed into a variety of equivalents；Therefore, the present invention is every according to the present invention not to limit practical range shown in drawing
The change made of conception, or the equivalent embodiment of equivalent variations is revised as, still without departing from specification with illustrating covered essence
, all should be within the scope of the present invention when refreshing.
Claims (9)
1. a kind of electrokinetic cell life-span prediction method, it is characterised in that including：
According to battery cell life time decay speed, the battery capacity decling phase is determined；
Principle is increased based on internal resistance, capability retention and chemical reaction rate and the relation of time is determined；According to the relation and
The battery capacity decling phase determines cycle life attenuation model structure and calendar life attenuation model structure；
The test data of battery cell is obtained, and using the test data as training data, training obtains the cycle life
The parameter of the parameter of attenuation model and the calendar life attenuation model；
According to the cycle life attenuation model and the calendar life attenuation model, generation cycle life attenuation curve and calendar
Life time decay curve；
The cycle life attenuation curve is superimposed with the calendar life attenuation curve according to predetermined proportionate relationship, electricity is obtained
Pond life prediction curve.
2. according to the method described in claim 1, it is characterised in that the chemical reaction rate is obtained based on Arrhenius formula
.
3. method according to claim 2, it is characterised in that the battery capacity decling phase includes：At least one is fast
Fast decling phase, and multiple slow-decay stages.
4. method according to claim 3, it is characterised in that the test data of the battery cell includes：
State of cyclic operation test of the battery cell under different charging or discharging currents, temperature, depth of discharge after cycle charge-discharge n times is obtained
Test data, wherein, 1000≤N≤2000；
Battery cell stands the test data that the calendar life test after M months is obtained under different temperatures, SOC, wherein, 12≤
M≤24。
5. method according to claim 4, it is characterised in that
The cycle life attenuation model structure is：
The rapid decay stage：
The slow-decay stage：
The calendar life attenuation model structure is：
The rapid decay stage：
The slow-decay stage：
Wherein, Q is capability retention, and Q ' is the capability retention of the t in the rapid decay stage, TcellFor battery list
Body heat balance temperature, i is stage sequence number, QiFor stage i initial capacity conservation rate, EaReaction activity is represented, R represents gas
Constant, tiFor stage i and stage i+1 critical moment, AiAnd BiThe finger of cycle life and calendar life in stage i is represented respectively
Prefactor.
6. method according to claim 5, it is characterised in that the parameter of the cycle life attenuation model includes Ea、Ai；
The parameter of the calendar life attenuation model includes Ea、Bi。
7. method according to claim 6, it is characterised in that the predetermined proportionate relationship includes：Based on ternary lithium electricity
Pond, predetermined proportionate relationship is 1: 1.
8. the method according to any one of claim 1~7, it is characterised in that also include：According to the institute under high temperature and normal temperature
Chemical reaction rate is stated, accelerated ratio is calculated；Wherein, the high temperature is 45 DEG C~60 DEG C, and the normal temperature is 9 DEG C~35 DEG C.
9. method according to claim 8, it is characterised in that also include：Simulate the battery life predicting under the normal temperature
Curve, and battery life predicting curve under the high temperature is obtained according to the accelerated ratio.
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