CN108169680A - Power battery health state evaluation method, system and electric vehicle - Google Patents
Power battery health state evaluation method, system and electric vehicle Download PDFInfo
- Publication number
- CN108169680A CN108169680A CN201711297358.5A CN201711297358A CN108169680A CN 108169680 A CN108169680 A CN 108169680A CN 201711297358 A CN201711297358 A CN 201711297358A CN 108169680 A CN108169680 A CN 108169680A
- Authority
- CN
- China
- Prior art keywords
- health status
- filled
- normalization
- battery
- capacity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The present invention relates to a kind of power battery health state evaluation method, this method includes choosing two voltages in battery battery core charging process, obtains and is filled with capacity between described two voltages;It determines the correspondence being filled between capacity and health status between described two voltages, health status appraising model is established according to the correspondence;The health status is solved according to the health status appraising model.Health status appraising model is established simple and convenient in this method, and estimation process calculation amount is small, can realize the quick real-time online estimation of health status;Only need percentage of batteries charging monitoring data that can quick and precisely estimate cell health state;Realize fault pre-alarming under battery sub-health state, the maintenance for battery system provides foundation.The present invention also provides a kind of power battery health state evaluation system and electric vehicles.
Description
Technical field
The present invention relates to a kind of battery technology field more particularly to power battery health state evaluation method, system and electricity
Motor-car.
Background technology
As energy crisis is increasingly aggravated with problem of environmental pollution, various countries is made to start to pay attention to the use of renewable green energy resource
And popularization.The appearance of the new energy fields such as recent years, electric vehicle and energy storage so that lithium ion battery becomes popular and grinds
Study carefully direction.The research of lithium ion battery other than surrounding battery in itself, battery management system also belong to important research direction it
One.In battery management system research, the health status (State of Health, SOH) of battery system is then current most weak
One of link.The SOH estimations of battery system are the significant deficiencies of present battery management system, directly affect the practicality of battery
Property, economy and safety etc..
With continuing on for battery, the electrochemistry side reaction cumulative effect of inside battery can cause the SOH of battery gradual
It reduces.The mainstream index of evaluation battery core health status refers to that under certain condition battery can be filled with or release currently on the market
The percentage of electricity and battery nominal capacity.Generally when the capacity of battery drops to the 80% of initial capacity, i.e., SOH is less than
When 80%, battery should be just replaced.SOH evaluation methods common at present have load discharge method, inner walkway method, electrochemical impedance
Analytic approach and model foundation method etc..Above method due to the testing time is long, the complicated difficult or estimation precision of modeling is low etc.,
It can not realize the health status of real-time online estimation single battery core and entire battery pack.
Invention content
The technical problems to be solved by the invention are in view of the deficiencies of the prior art, to provide a kind of power battery health status
Appraisal procedure, system and electric vehicle.
The technical solution that the present invention solves above-mentioned technical problem is as follows:A kind of power battery health state evaluation method, packet
It includes:
Two voltages in battery battery core charging process are chosen, obtains and is filled with capacity between described two voltages;
The correspondence being filled between capacity and health status between described two voltages is determined, according to the corresponding pass
System establishes health status appraising model;
The health status is solved according to the health status appraising model.
The beneficial effects of the invention are as follows:The present invention is filled with capacity according between two voltages in battery charging process, builds
Vertical SOH appraising models, realize and the SOH of battery are quickly estimated;Battery SOH appraising models establish simple and convenient, estimation process
Calculation amount is small, can realize the quick real-time online estimations of SOH;Only need percentage of batteries charging monitoring data can be to battery SOH
Quick and precisely estimate;Realize fault pre-alarming under battery sub-health state, the maintenance for battery system provides foundation.
Based on the above technical solution, the present invention can also be improved as follows.
Further, the correspondence being filled between capacity and health status between described two voltages is determined, according to institute
It states correspondence and establishes health status appraising model and include:
Draw charging voltage and capacity curve of the battery battery core under different health status;
The charging voltage and the charging voltage in capacity curve and capacity are normalized, normalization is obtained and fills
Piezoelectric voltage and capacity curve;
The normalization between described two voltages is found out in each normalization charging voltage and capacity curve to be filled with
Capacitance values;
The incidence relation that capacitance values and the health status are filled with according to the normalization establishes health status estimation mould
Type solves the health status according to the health status appraising model.
Advantageous effect using above-mentioned further scheme is that quickly and accurately obtaining normalization according to above method simplicity fills
Enter the incidence relation of capacitance values and the health status, capacitance values and the pass of the health status are filled with further according to normalization
Connection relationship establishes health status appraising model, and normalization is filled with the accuracy of capacitance values and the incidence relation of the health status
Determine the precision of appraising model.Model foundation is simple and convenient, calculation amount it is small, it can be achieved that health status real-time online assessment,
And estimation precision is high.
Further, it is described that capacitance values and the incidence relation foundation health of the health status are filled with according to the normalization
State estimation model solves the health status according to the health status appraising model and includes:
It draws the normalization and is filled with capacitance values and the relation curve of the health status;
Determine that the normalization is filled with capacitance values and the incidence relation of the health status according to the relation curve;
It is carried out curve fitting according to the incidence relation to the relation curve, determines the relationship system of the incidence relation
Number;
The health status appraising model is determined according to the incidence relation of determining coefficient of relationship, is estimated according to the health status
Calculate health status described in model solution.
Advantageous effect using above-mentioned further scheme is to be filled with capacitance values and the healthy shape by drawing normalization
The relation curve of state, and carry out curve fitting to relation curve, it realizes the error correction that capacitance values are filled with to normalization, improves
Normalization is filled with the precision of capacitance values, and then improves the precision of health status appraising model, improves the accuracy rate of assessment.
Model foundation is simple and convenient, and calculation amount is small, it can be achieved that the real-time online of health status is assessed, and estimation precision is high.
Further, when the normalization is filled with capacitance values and the incidence relation of the health status is linear relationship,
Remember that the linear relation is:
Δ C=aSOH+b
Wherein Δ C is filled with capacitance values for normalization, and SOH is health status, a and the relationship system that b is the linear relationship
Number;
Health status defined formula is as follows:
Determine that the health status appraising model is according to the linear relationship of determining linear relationship coefficient:
Wherein, C is filled with capacity, C between two voltages in the selection battery battery core charging process0For battery core volume
Constant volume.
Advantageous effect using above-mentioned further scheme is to obtain health status with returning according to the definition of cell health state
One changes the relationship for being filled with capacitance values, then carry out linear fit to relation curve, obtains the coefficient of relationship of linear relationship, and then obtain
Health status appraising model, model foundation is simple and convenient, calculation amount it is small, it can be achieved that health status real-time online assessment, and
Estimation precision is high.
Further, the battery battery core is lithium battery electric core.
Advantageous effect using above-mentioned further scheme is, this method is suitable for various lithium battery core architectures, including but
It is not limited to LiFePO4、LiNixCoyMnzO2、LiNixCoyAlzO2(0≤x≤1,0≤y≤1,0≤z≤1, x+y+z=1),
LiMn2O4The battery system that the negative materials such as positive electrodes, carbon/silicon-carbon/LTO is waited to form.
Another technical solution that the present invention solves above-mentioned technical problem is as follows:A kind of power battery health state evaluation system
System, including:
Acquisition module for choosing two voltages in battery battery core charging process, is obtained between described two voltages
It is filled with capacity;
Modeling module, for determining the correspondence being filled between capacity and health status between described two voltages,
Health status appraising model is established according to the correspondence;
Estimation block, for solving the health status according to the health status appraising model.
The beneficial effects of the invention are as follows:The present invention is filled with capacity according between two voltages in battery charging process, builds
Vertical SOH appraising models, realize and the SOH of battery are quickly estimated;Battery SOH appraising models establish simple and convenient, estimation process
Calculation amount is small, can realize the quick real-time online estimations of SOH;Only need percentage of batteries charging monitoring data can be to battery SOH
Quick and precisely estimate;Realize fault pre-alarming under battery sub-health state, the maintenance for battery system provides foundation.
Based on the above technical solution, the present invention can also be improved as follows.
Further, the modeling module includes:
Image-drawing unit, for drawing charging voltage and capacity curve of the battery battery core under different health status;
Normalization unit, for the charging voltage in the charging voltage and capacity curve and capacity to be normalized place
Reason obtains normalization charging voltage and capacity curve;
Data selecting unit, for finding out described two voltages in each normalization charging voltage and capacity curve
Between normalization be filled with capacitance values;
Modeling unit, it is strong for being filled with the incidence relation foundation of capacitance values and the health status according to the normalization
Health state estimation model solves the health status according to the health status appraising model.
Advantageous effect using above-mentioned further scheme is that quickly and accurately obtaining normalization according to above method simplicity fills
Enter the incidence relation of capacitance values and the health status, capacitance values and the pass of the health status are filled with further according to normalization
Connection relationship establishes health status appraising model, and normalization is filled with the accuracy of capacitance values and the incidence relation of the health status
Determine the precision of appraising model.Model foundation is simple and convenient, calculation amount it is small, it can be achieved that health status real-time online assessment,
And estimation precision is high.
Further, the modeling unit is specifically used for:
It draws the normalization and is filled with capacitance values and the relation curve of the health status;
Determine that the normalization is filled with capacitance values and the incidence relation of the health status according to the relation curve;
It is carried out curve fitting according to the incidence relation to the relation curve, determines the relationship system of the incidence relation
Number;
The health status appraising model is determined according to the incidence relation of determining coefficient of relationship, is estimated according to the health status
Calculate health status described in model solution.
Advantageous effect using above-mentioned further scheme is to be filled with capacitance values and the healthy shape by drawing normalization
The relation curve of state, and carry out curve fitting to relation curve, it realizes the error correction that capacitance values are filled with to normalization, improves
Normalization is filled with the precision of capacitance values, and then improves the precision of health status appraising model, improves the accuracy rate of assessment.
Model foundation is simple and convenient, and calculation amount is small, it can be achieved that the real-time online of health status is assessed, and estimation precision is high.
Further, when the normalization is filled with capacitance values and the incidence relation of the health status is linear relationship,
Remember that the linear relation is:
Δ C=aSOH+b
Wherein Δ C is filled with capacitance values for normalization, and SOH is health status, a and the relationship system that b is the linear relationship
Number;
Health status defined formula is as follows:
Determine that the health status appraising model is according to the linear relationship of determining linear relationship coefficient:
Wherein, C is filled with capacity, C between two voltages in the selection battery battery core charging process0For battery core volume
Constant volume.
Advantageous effect using above-mentioned further scheme is to obtain health status with returning according to the definition of cell health state
One changes the relationship for being filled with capacitance values, then carry out linear fit to relation curve, obtains the coefficient of relationship of linear relationship, and then obtain
Health status appraising model, model foundation is simple and convenient, calculation amount it is small, it can be achieved that health status real-time online assessment, and
Estimation precision is high.
Further, the battery battery core is lithium battery electric core.
Advantageous effect using above-mentioned further scheme is, this method is suitable for various lithium battery core architectures, including but
Be not limited to LiFePO4, LiNixCoyMnzO2, LiNixCoyAlzO2 (0≤x≤1,0≤y≤1,0≤z≤1, x+y+z=1),
The battery system that the negative materials such as the positive electrodes such as LiMn2O4, carbon/silicon-carbon/LTO are formed.
Another technical solution that the present invention solves above-mentioned technical problem is as follows:A kind of electric vehicle, including above-mentioned technical side
Power battery health state evaluation system described in case.
The beneficial effects of the invention are as follows:Include the electricity of the power battery health state evaluation system described in above-mentioned technical proposal
Motor-car is, it can be achieved that the SOH to battery is quickly estimated;Establishing for battery SOH appraising models is simple and convenient, estimation process calculation amount
It is small, it can realize the quick real-time online estimations of SOH;Only need percentage of batteries charging monitoring data can be quickly accurate to battery SOH
Really estimation;Realize fault pre-alarming under battery sub-health state, the maintenance for battery system provides foundation.
Description of the drawings
Fig. 1 is the schematic flow chart of power battery health state evaluation method that one embodiment of the invention provides;
Fig. 2 is the schematic flow chart of power battery health state evaluation method that another embodiment of the present invention provides;
Fig. 3 is the schematic block diagram of power battery health state evaluation system that one embodiment of the invention provides;
Fig. 4 is charging voltage and capacity curve of the battery battery core that provides of one embodiment of the invention under different health status
Figure;
Fig. 5 is the normalization charging voltage and capacity curve figure that charging voltage is obtained with the normalization of capacity curve figure in Fig. 4;
Fig. 6 be according to normalized in Fig. 5 charging voltage and normalization that capacity curve obtains be filled with capacitance values with it is described
The graph of relation of health status;
Fig. 7 is that charging voltage of the battery battery core that provides of another embodiment of the present invention under different health status and capacity are bent
Line chart;
Fig. 8 is the normalization charging voltage and capacity curve figure that charging voltage is obtained with the normalization of capacity curve figure in Fig. 7;
Fig. 9 be according to normalized in Fig. 8 charging voltage and normalization that capacity curve obtains be filled with capacitance values with it is described
The relation curve of health status.
In attached drawing, parts list represented by the reference numerals are as follows:
310th, acquisition module, 320, modeling module, 330, estimation block.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and illustrated embodiment is served only for explaining the present invention,
It is not intended to limit the scope of the present invention.
Fig. 1 gives a kind of schematic flow of power battery health state evaluation method provided in an embodiment of the present invention
Figure.As shown in Figure 1, this method includes:
S110 chooses two voltages in battery battery core charging process, obtains and is filled with capacity between described two voltages;
S120 determines the correspondence being filled between capacity and health status between described two voltages, according to described
Correspondence establishes health status appraising model;
S130 solves the health status according to the health status appraising model.
In the embodiment, according to the capacity that is filled between two voltages in battery charging process, two voltages can be arbitrary
Selection, establishes SOH appraising models, realizes and the SOH of battery is quickly estimated;Establishing for battery SOH appraising models is simple and convenient, estimates
Calculation process calculation amount is small, can realize the quick real-time online estimations of SOH;Only need percentage of batteries charging monitoring data can be to electricity
Pond SOH is quick and precisely estimated;Realize fault pre-alarming under battery sub-health state, the maintenance for battery system provides foundation.
Optionally, as another embodiment of the present invention, as shown in Fig. 2, a kind of power battery health state evaluation side
Method, including:
S210 chooses two voltages in battery battery core charging process, obtains and is filled with capacity between described two voltages;
S220 draws charging voltage and capacity curve of the battery battery core under different health status;
The charging voltage and the charging voltage in capacity curve and capacity are normalized S230, and acquisition is returned
One changes charging voltage and capacity curve;
S240 finds out the normalization between described two voltages in each normalization charging voltage and capacity curve
It is filled with capacitance values;
S250, the incidence relation for being filled with capacitance values and the health status according to the normalization are established health status and are estimated
Model is calculated, the health status is solved according to the health status appraising model;
S260 solves the health status according to the health status appraising model.
Current battery management system, due to SOH evaluation methods complexity, calculation amount is excessive or estimation precision is low etc., difficult
To carry out real-time SOH estimations to battery, the embodiment of the present invention is by returning voltage in battery charging process with capacity curve
One change is handled, and then normalization capacity with SOH curves is fitted, establishes a kind of SOH evaluation methods, it is only necessary to partly fill
Electric data can carry out quick real-time estimation to battery SOH.
In the embodiment, normalization is quickly and accurately obtained according to above method simplicity and is filled with capacitance values and the health
The incidence relation of state, the incidence relation that capacitance values and the health status are filled with further according to normalization are established health status and are estimated
Model is calculated, the accuracy for normalizing the incidence relation for being filled with capacitance values and the health status determines the essence of appraising model
Degree.Model foundation is simple and convenient, and calculation amount is small, it can be achieved that the real-time online of health status is assessed, and estimation precision is high.
Optionally, it as one embodiment of the invention, further includes and capacitance values progress error modification is filled with to normalization
Step.Capacitance values are filled with according to revised normalization and the relationship of the health status establishes health status appraising model,
The health status is solved according to the health status appraising model to include:
S310 draws the normalization and is filled with capacitance values and the relation curve of the health status;
S320 determines that the normalization is filled with being associated with for capacitance values and the health status according to the relation curve
System;
S330 carries out curve fitting to the relation curve according to the incidence relation, determines the pass of the incidence relation
Coefficient;
S340 determines the health status appraising model, according to the health according to the incidence relation of determining coefficient of relationship
Health status described in state estimation model solution.
In the embodiment, capacitance values and the relation curve of the health status are filled with, and to this by drawing normalization
Curve carries out curve fitting, and realizes the error correction that capacitance values are filled with to normalization, improves normalization and is filled with capacitance values
Precision, and then the precision of health status appraising model is improved, improve the accuracy rate of assessment.Model foundation is simple and convenient, meter
Calculation amount is small, it can be achieved that the real-time online of health status is assessed, and estimation precision is high.
In the embodiment, when normalization is filled with capacitance values and the incidence relation of the health status is linear relationship,
Remember that linear relation is:
Δ C=aSOH+b
Wherein Δ C is filled with capacitance values for normalization, and SOH is health status, a and the relationship system that b is the linear relationship
Number;
Health status defined formula is as follows:
Determine that the health status appraising model is according to the linear relationship of determining linear relationship coefficient:
Wherein, C is filled with capacity, C between two voltages in the selection battery battery core charging process0For battery core volume
Constant volume.
In the embodiment, it is filled in relation curve of the capacitance values with the health status from normalization and finds Δ C and SOH
Relationship, Δ C=f(SOH), Δ C and SOH is linear relationship in the embodiment, is represented by Δ C=f(SOH)=aSOH+b;According to
The definition of cell health state obtains the relationship that health status is filled with capacitance values with normalization, then relation curve is carried out linear
Fitting, obtains the coefficient of relationship of linear relationship, and then the state estimation model that secures good health, model foundation is simple and convenient, calculation amount
It is small, it can be achieved that the real-time online assessment of health status, and estimation precision is high.
Above in association with Fig. 1 to Fig. 2, it is described in detail and power battery health state evaluation side is provided according to embodiments of the present invention
Method.With reference to Fig. 3, the detailed description embodiment of the present invention provides power battery health state evaluation system.
Fig. 3 gives a kind of schematic structure frame of power battery health state evaluation system provided in an embodiment of the present invention
Figure.As shown in figure 3, the system includes acquisition module 310, modeling module 320 and estimation block 330.
Acquisition module 310 chooses two voltages in battery battery core charging process, obtains filling between described two voltages
Enter capacity;Modeling module 320 determines the correspondence being filled between capacity and health status between described two voltages, according to
The correspondence establishes health status appraising model;Estimation block 330 is according to solving the health status appraising model
Health status
In the embodiment, capacity is filled with according between two voltages in battery charging process, establishes SOH appraising models,
The SOH of battery is quickly estimated in realization;Establishing for battery SOH appraising models is simple and convenient, and estimation process calculation amount is small, Ke Yishi
The existing quick real-time online estimations of SOH;Only need percentage of batteries charging monitoring data that can quick and precisely estimate battery SOH;It is real
Fault pre-alarming under existing battery sub-health state, the maintenance for battery system provide foundation.
Optionally, as another embodiment of the present invention, modeling module includes:Image-drawing unit, normalization unit, data
Selection unit and modeling unit.Image-drawing unit is bent with capacity for drawing charging voltage of the battery battery core under different health status
Line;Normalization unit obtains for the charging voltage and the charging voltage in capacity curve and capacity to be normalized
Take normalization charging voltage and capacity curve;Data selecting unit is used in each normalization charging voltage and capacity curve
In the normalization found out between described two voltages be filled with capacitance values;Modeling unit is used to be filled with capacity according to the normalization
Numerical value and the incidence relation of the health status establish health status appraising model, are solved according to the health status appraising model
The health status.
In the embodiment, normalization is quickly and accurately obtained according to above method simplicity and is filled with capacitance values and the health
The incidence relation of state, the incidence relation that capacitance values and the health status are filled with further according to normalization are established health status and are estimated
Model is calculated, the accuracy for normalizing the incidence relation for being filled with capacitance values and the health status determines the essence of appraising model
Degree.Model foundation is simple and convenient, and calculation amount is small, it can be achieved that the real-time online of health status is assessed, and estimation precision is high.
Optionally, as one embodiment of the invention, modeling unit is specifically used for:It draws the normalization and is filled with capacity number
The relation curve of value and the health status;Determine that the normalization is filled with capacitance values and is good for described according to the relation curve
The incidence relation of health state;It is carried out curve fitting according to the incidence relation to the relation curve, determines the incidence relation
Coefficient of relationship;The health status appraising model is determined according to the incidence relation of determining coefficient of relationship, according to the healthy shape
State appraising model solves the health status.
In the embodiment, capacitance values and the relation curve of the health status are filled with, and to this by drawing normalization
Curve carries out curve fitting, and realizes the error correction that capacitance values are filled with to normalization, improves normalization and is filled with capacitance values
Precision, and then the precision of health status appraising model is improved, improve the accuracy rate of assessment.Model foundation is simple and convenient, meter
Calculation amount is small, it can be achieved that the real-time online of health status is assessed, and estimation precision is high.
In the embodiment, when normalization is filled with capacitance values and the incidence relation of the health status is linear relationship,
Remember that linear relation is:
Δ C=aSOH+b
Wherein Δ C is filled with capacitance values for normalization, and SOH is health status, a and the relationship system that b is the linear relationship
Number;
Health status defined formula is as follows:
Determine that the health status appraising model is according to the linear relationship of determining linear relationship coefficient:
Wherein, C is filled with capacity, C between two voltages in the selection battery battery core charging process0For battery core volume
Constant volume.
In the embodiment, health status is obtained according to the definition of cell health state and normalization is filled with the pass of capacitance values
System, then linear fit is carried out to relation curve, the coefficient of relationship of linear relationship is obtained, and then the state estimation model that secures good health,
Model foundation is simple and convenient, and calculation amount is small, it can be achieved that the real-time online of health status is assessed, and estimation precision is high.
The embodiment scheme is suitable for various lithium battery core architectures, including but not limited to LiFePO4、LiNixCoyMnzO2、
LiNixCoyAlzO2(0≤x≤1,0≤y≤1,0≤z≤1, x+y+z=1), LiMn2O4Wait positive electrodes, carbon/silicon-carbon/LTO etc.
The battery system that negative material is formed.
The embodiment of the present invention also provides a kind of electric vehicle, including the power battery health status described in above-mentioned technical proposal
Assessment system.In the embodiment, include the electric vehicle of the power battery health state evaluation system described in above-mentioned technical proposal,
It can be achieved quickly to estimate the SOH of battery;Establishing for battery SOH appraising models is simple and convenient, and estimation process calculation amount is small, can be with
Realize the quick real-time online estimations of SOH;Only need percentage of batteries charging monitoring data that can quick and precisely estimate battery SOH;
Realize fault pre-alarming under battery sub-health state, the maintenance for battery system provides foundation.General battery pack uses process
Present invention method can be used to supervise battery core each in battery pack for the middle state that can monitor each battery core in battery pack
Control estimation health status, so as to obtain the health status of battery pack entirety.
Fig. 4 gives charging voltage and capacity of the battery battery core of one embodiment of the invention offer under different health status
Curve graph.Fig. 5 is the normalization charging voltage and capacity curve figure that charging voltage is obtained with the normalization of capacity curve figure in Fig. 4.
Fig. 6 is to obtain normalization with capacity curve according to normalization charging voltage in Fig. 5 to be filled with capacitance values and the health status
Graph of relation.
Charge and discharge cycles test is carried out to the ternary lithium ion battery of rated capacity 42Ah in the embodiment, obtains difference
Voltage and capacity curve under SOH, and then obtain normalization charging voltage and capacity curve figure.
From charging voltage and capacity curve it can be seen from the figure that, under different health status SOH, voltage capacity curve very phase
Seemingly.Two voltages are selected, such as 4V and 4.2V, the corresponding normalized voltage of two voltages on curve is found in Figure 5, then can look for
To corresponding two normalization capacity Cs1And C2。
The health status SOH of battery is the ratio of the currently available maximum capacity of battery and the available maximum capacity of new battery
Value.According to the rule of normalized, C2-C1Capacity C and the currently available maximum capacity of battery are poured between two voltages
Ratio, so the currently available maximum capacity of battery is:
Note normalization is filled with capacitance values Δ C=C2-C1, it can thus be concluded that
C in formula0For battery core rated capacity.
In the embodiment, C is filled with capacity, C between 4V to 4.2V0For battery core rated capacity 42Ah, C1And C2Respectively
The corresponding two normalization capacity of two voltages.When being estimated using the formula SOH, error is mainly by battery management system
C in the C and appraising model of monitoring record1And C2It determines.In order to improve C1And C2Precision, need to C1And C2Error is carried out to repair
Just.Remember Δ C=C2-C1, Fig. 6 is Δ C and SOH curves, as can be seen from Figure Δ C and SOH substantially linear relationship (other battery cores
Linear relationship is not necessarily, other curve matchings can be used), remember Δ C=aSOH+b, which is substituted into above-mentioned estimation formula
It can obtain:
Solving SOH can obtain:
A=-0.29337, b=0.45223 can be obtained by carrying out linear fit to curve in Fig. 6.By a, b and C0Substituting into formula can
:
Wherein C is filled with capacity for 4V to 4.2V's.The old battery core of several difference SOH is taken to be verified according to above-mentioned steps,
Verification result is as shown in table 1.The data from table 1 are it is found that the assessment result standard that appraisal procedure provided in an embodiment of the present invention obtains
True rate is very high.
Table 1
Battery core is numbered | Actual capacity/Ah | Practical SOH/% | SOH estimations/% | Error/% |
1 | 41.973 | 99.94 | 97.99 | -1.95117 |
2 | 40.603 | 96.67 | 95.63 | -1.07582 |
3 | 40.375 | 96.13 | 95.49 | -0.66577 |
4 | 39.538 | 94.14 | 95.07 | 0.98789 |
5 | 39.218 | 93.38 | 91.09 | -2.45235 |
6 | 37.589 | 89.5 | 88.04 | -1.63128 |
7 | 36.219 | 86.24 | 85.29 | -1.10158 |
Fig. 7 gives charging voltage and appearance of the battery battery core of another embodiment of the present invention offer under different health status
Measure curve graph;Fig. 8 is the normalization charging voltage and capacity curve that charging voltage is obtained with the normalization of capacity curve figure in Fig. 7
Figure;Fig. 9 is to be filled with capacitance values and the healthy shape according to the normalization for normalizing charging voltage in Fig. 8 with capacity curve obtains
The relation curve of state.
Charge and discharge cycles test is carried out to the ternary lithium ion battery of rated capacity 37Ah, obtain under different SOH voltage with
Capacity curve, and then obtain normalization charging voltage and capacity curve figure.
A=-0.34037, b=0.49742 can be obtained, and then obtain to Δ C in Fig. 9 and the fitting of SOH curve linears:
The old battery core of several difference SOH is taken to be verified that data are shown in Table 2.From the data in table 2, it can be seen that the embodiment of the present invention carries
The assessment result accuracy rate that the appraisal procedure of confession obtains is very high.
Table 2
Battery core is numbered | Actual capacity | Practical SOH/% | SOH estimations/% | Error/% |
1 | 36.592 | 98.9 | 101.29 | 2.416582 |
2 | 35.825 | 96.82 | 99.53 | 2.799008 |
3 | 34.75 | 93.92 | 97.14 | 3.42845 |
4 | 33.683 | 91.04 | 93.48 | 2.680141 |
5 | 33.022 | 89.25 | 87.19 | -2.30812 |
6 | 31.293 | 84.58 | 83.35 | -1.45424 |
7 | 30.162 | 81.52 | 82.45 | 1.140824 |
In the embodiment of the present invention, establishing for appraising model is simple and fast;Appraising model is simple, it is only necessary to part charge parameter
It can estimate, calculating process is simple, it can be achieved that online calculate in real time;Cell health state can be monitored in real time, be battery management system
The policy development and monitor supervision platform early warning of system, which provide, effectively to be supported, is realized the effect for finding, intervening in advance in advance, can be substantially improved
User experience saves after-sales service cost.
It is apparent to those skilled in the art that for convenience of description and succinctly, the dress of foregoing description
The specific work process with unit is put, the corresponding process in preceding method embodiment can be referred to, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of unit, only
A kind of division of logic function, can there is an other dividing mode in actual implementation, for example, multiple units or component can combine or
Person is desirably integrated into another system or some features can be ignored or does not perform.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
Component may or may not be physical unit, you can be located at a place or can also be distributed to multiple networks
On unit.Some or all of unit therein can be selected according to the actual needs to realize the mesh of the embodiment of the present invention
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit is individually physically present or two or more units integrate in a unit.It is above-mentioned integrated
The form that hardware had both may be used in unit is realized, can also be realized in the form of SFU software functional unit.
If integrated unit realized in the form of SFU software functional unit and be independent product sale or in use, can
To be stored in a computer read/write memory medium.Based on such understanding, technical scheme of the present invention substantially or
Saying all or part of the part contribute to the prior art or the technical solution can be embodied in the form of software product
Out, which is stored in a storage medium, is used including some instructions so that a computer equipment
(can be personal computer, server or the network equipment etc.) performs all or part of each embodiment method of the present invention
Step.And aforementioned storage medium includes:It is USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random
Access various Jie that can store program code such as memory (RAM, Random Access Memory), magnetic disc or CD
Matter.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (10)
- A kind of 1. power battery health state evaluation method, which is characterized in that including:Two voltages in battery battery core charging process are chosen, obtains and is filled with capacity between described two voltages;It determines the correspondence being filled between capacity and health status between described two voltages, is built according to the correspondence Vertical health status appraising model;The health status is solved according to the health status appraising model.
- 2. according to the method described in claim 1, it is characterized in that, it is described determine described two voltages between be filled with capacity with Correspondence between health status is established health status appraising model according to the correspondence and is included:Draw charging voltage and capacity curve of the battery battery core under different health status;The charging voltage and the charging voltage in capacity curve and capacity are normalized, obtain normalization charging electricity Pressure and capacity curve;The normalization between described two voltages, which is found out, in each normalization charging voltage and capacity curve is filled with capacity Numerical value;Capacitance values are filled with according to the normalization and the incidence relation of the health status establishes health status appraising model, root The health status is solved according to the health status appraising model.
- 3. according to the method described in claim 2, it is characterized in that, it is described according to it is described normalization be filled with capacitance values with it is described The incidence relation of health status establishes health status appraising model, and the healthy shape is solved according to the health status appraising model State includes:It draws the normalization and is filled with capacitance values and the relation curve of the health status;Determine that the normalization is filled with capacitance values and the incidence relation of the health status according to the relation curve;It is carried out curve fitting according to the incidence relation to the relation curve, determines the coefficient of relationship of the incidence relation;The health status appraising model is determined according to the incidence relation of determining coefficient of relationship, mould is estimated according to the health status Type solves the health status.
- 4. according to the method described in claim 3, it is characterized in that, when the normalization is filled with capacitance values and the healthy shape When the incidence relation of state is linear relationship, remember that the linear relation is:Δ C=aSOH+bWherein Δ C is filled with capacitance values for normalization, and SOH is health status, a and the coefficient of relationship that b is the linear relationship;Health status defined formula is as follows:Determine that the health status appraising model is according to the linear relationship of determining linear relationship coefficient:Wherein, C is filled with capacity, C between two voltages in the selection battery battery core charging process0For the specified appearance of battery core Amount.
- 5. method according to any one of claims 1 to 4, which is characterized in that the battery battery core is lithium battery electric core.
- 6. a kind of power battery health state evaluation system, which is characterized in that including:Acquisition module for choosing two voltages in battery battery core charging process, obtains being filled between described two voltages Capacity;Modeling module, for determining the correspondence being filled between capacity and health status between described two voltages, according to The correspondence establishes health status appraising model;Estimation block, for solving the health status according to the health status appraising model.
- 7. system according to claim 6, which is characterized in that the modeling module includes:Image-drawing unit, for drawing charging voltage and capacity curve of the battery battery core under different health status;Normalization unit, for the charging voltage and the charging voltage in capacity curve and capacity to be normalized, Obtain normalization charging voltage and capacity curve;Data selecting unit, for being found out between described two voltages in each normalization charging voltage and capacity curve Normalization be filled with capacitance values;Modeling unit, the incidence relation for being filled with capacitance values and the health status according to the normalization establish healthy shape State appraising model solves the health status according to the health status appraising model.
- 8. system according to claim 7, which is characterized in that the modeling unit is specifically used for:It draws the normalization and is filled with capacitance values and the relation curve of the health status;Determine that the normalization is filled with capacitance values and the incidence relation of the health status according to the relation curve;It is carried out curve fitting according to the incidence relation to the relation curve, determines the coefficient of relationship of the incidence relation;The health status appraising model is determined according to the incidence relation of determining coefficient of relationship, mould is estimated according to the health status Type solves the health status.
- 9. system according to claim 8, which is characterized in that when the normalization is filled with capacitance values and the healthy shape When the incidence relation of state is linear relationship, remember that the linear relation is:Δ C=aSOH+bWherein Δ C is filled with capacitance values for normalization, and SOH is health status, a and the coefficient of relationship that b is the linear relationship;Health status defined formula is as follows:Determine that the health status appraising model is according to the linear relationship of determining linear relationship coefficient:Wherein, C is filled with capacity, C between two voltages in the selection battery battery core charging process0For the specified appearance of battery core Amount.
- 10. a kind of electric vehicle, which is characterized in that commented including claim 6 to 9 any one of them power battery health status Estimate system.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711297358.5A CN108169680A (en) | 2017-12-08 | 2017-12-08 | Power battery health state evaluation method, system and electric vehicle |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711297358.5A CN108169680A (en) | 2017-12-08 | 2017-12-08 | Power battery health state evaluation method, system and electric vehicle |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108169680A true CN108169680A (en) | 2018-06-15 |
Family
ID=62525593
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711297358.5A Withdrawn CN108169680A (en) | 2017-12-08 | 2017-12-08 | Power battery health state evaluation method, system and electric vehicle |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108169680A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109633329A (en) * | 2018-12-26 | 2019-04-16 | 上海奥威科技开发有限公司 | Fault detection method, device, terminal device and the medium of multiloop energy storage device |
CN109856558A (en) * | 2019-02-18 | 2019-06-07 | 王国平 | A kind of storage battery health degree detection method and system |
CN111064253A (en) * | 2019-12-30 | 2020-04-24 | 上海电力大学 | Battery health degree rapid evaluation method based on average discrete Frechet distance |
CN112213643A (en) * | 2020-09-30 | 2021-01-12 | 蜂巢能源科技有限公司 | Method, system and equipment for predicting initial capacity and health state of battery |
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 |
WO2021238228A1 (en) * | 2020-05-28 | 2021-12-02 | 江苏大学 | "standardized temperature"-based online estimation method for state of health of battery within wide temperature range |
CN114355224A (en) * | 2022-03-17 | 2022-04-15 | 深圳市信润富联数字科技有限公司 | Battery health state prediction method and device, electronic device and readable storage medium |
CN116381540A (en) * | 2023-06-05 | 2023-07-04 | 石家庄学院 | Battery health monitoring system under computer running state |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103675702A (en) * | 2013-12-04 | 2014-03-26 | 清华大学 | Method for evaluating state of health battery in real time |
CN103728563A (en) * | 2013-12-17 | 2014-04-16 | 惠州市亿能电子有限公司 | Method for measuring and calculating health status of batteries |
CN106569136A (en) * | 2016-10-19 | 2017-04-19 | 广州市香港科大霍英东研究院 | Battery state of health on-line estimation method and system |
CN106772064A (en) * | 2016-11-25 | 2017-05-31 | 广东电网有限责任公司电力科学研究院 | A kind of health state of lithium ion battery Forecasting Methodology and device |
JP2017129401A (en) * | 2016-01-19 | 2017-07-27 | 日立化成株式会社 | Battery state estimation method and device |
CN107329094A (en) * | 2017-08-23 | 2017-11-07 | 北京新能源汽车股份有限公司 | Power battery state of health estimation method and device |
-
2017
- 2017-12-08 CN CN201711297358.5A patent/CN108169680A/en not_active Withdrawn
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103675702A (en) * | 2013-12-04 | 2014-03-26 | 清华大学 | Method for evaluating state of health battery in real time |
CN103728563A (en) * | 2013-12-17 | 2014-04-16 | 惠州市亿能电子有限公司 | Method for measuring and calculating health status of batteries |
JP2017129401A (en) * | 2016-01-19 | 2017-07-27 | 日立化成株式会社 | Battery state estimation method and device |
CN106569136A (en) * | 2016-10-19 | 2017-04-19 | 广州市香港科大霍英东研究院 | Battery state of health on-line estimation method and system |
CN106772064A (en) * | 2016-11-25 | 2017-05-31 | 广东电网有限责任公司电力科学研究院 | A kind of health state of lithium ion battery Forecasting Methodology and device |
CN107329094A (en) * | 2017-08-23 | 2017-11-07 | 北京新能源汽车股份有限公司 | Power battery state of health estimation method and device |
Non-Patent Citations (1)
Title |
---|
张剑楠: "锂离子动力电池健康状态估计算法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
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 |
US11982720B2 (en) | 2018-08-31 | 2024-05-14 | Avl List Gmbh | Method and battery management system for ascertaining a state of health of a secondary battery |
CN109633329A (en) * | 2018-12-26 | 2019-04-16 | 上海奥威科技开发有限公司 | Fault detection method, device, terminal device and the medium of multiloop energy storage device |
CN109633329B (en) * | 2018-12-26 | 2021-11-30 | 上海奥威科技开发有限公司 | Fault detection method and device for multi-loop energy storage equipment, terminal equipment and medium |
CN109856558A (en) * | 2019-02-18 | 2019-06-07 | 王国平 | A kind of storage battery health degree detection method and system |
CN111064253A (en) * | 2019-12-30 | 2020-04-24 | 上海电力大学 | Battery health degree rapid evaluation method based on average discrete Frechet distance |
WO2021238228A1 (en) * | 2020-05-28 | 2021-12-02 | 江苏大学 | "standardized temperature"-based online estimation method for state of health of battery within wide temperature range |
US11442113B2 (en) | 2020-05-28 | 2022-09-13 | Jiangsu University | On-line estimation method of battery state of health in wide temperature range based on “standardized temperature” |
CN112213643A (en) * | 2020-09-30 | 2021-01-12 | 蜂巢能源科技有限公司 | Method, system and equipment for predicting initial capacity and health state of battery |
CN112213643B (en) * | 2020-09-30 | 2023-06-23 | 蜂巢能源科技有限公司 | Method, system and equipment for predicting initial capacity and state of health of battery |
CN114355224A (en) * | 2022-03-17 | 2022-04-15 | 深圳市信润富联数字科技有限公司 | Battery health state prediction method and device, electronic device and readable storage medium |
CN116381540A (en) * | 2023-06-05 | 2023-07-04 | 石家庄学院 | Battery health monitoring system under computer running state |
CN116381540B (en) * | 2023-06-05 | 2023-08-22 | 石家庄学院 | Battery health monitoring system under computer running state |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108169680A (en) | Power battery health state evaluation method, system and electric vehicle | |
CN107991623B (en) | Battery ampere-hour integral SOC estimation method considering temperature and aging degree | |
CN109557477B (en) | Battery system health state estimation method | |
CN107121643B (en) | Health state of lithium ion battery combined estimation method | |
CN106291378B (en) | A kind of measuring method of electric automobile power battery SOH | |
CN105866700B (en) | A kind of method that lithium ion battery quickly screens | |
CN108254696A (en) | The health state evaluation method and system of battery | |
CN107656210A (en) | A kind of method for estimating battery electric quantity state | |
CN106585422B (en) | SOH estimation method for power battery | |
CN106569136A (en) | Battery state of health on-line estimation method and system | |
CN113219351B (en) | Monitoring method and device for power battery | |
CN103163480A (en) | Method for estimating health state of lithium battery | |
CN113406523B (en) | Energy storage battery state evaluation method and device, electronic equipment and storage system | |
CN108037462A (en) | Storage battery health status quantization method and system | |
CN107064809A (en) | The dynamic equivalent circuit model and its method of work of meter and battery electrochemical characteristic | |
CN107831442A (en) | Long-range estimation SOC method, apparatus, storage medium and computer equipment | |
Feng et al. | A graphical model for evaluating the status of series‐connected lithium‐ion battery pack | |
CN108732499A (en) | A kind of method and system of detection cycle life of lithium ion battery | |
CN114264964B (en) | Method, device, equipment and medium for evaluating battery capacity | |
CN107942261A (en) | The method of estimation and system of battery charge state | |
CN108572320A (en) | Battery minimum monomer and system available capacity, health status evaluation method and device | |
CN115542186B (en) | Method, device, equipment and medium for evaluating state and consistency of energy storage battery | |
CN113657360A (en) | Lithium battery health state estimation method, device, equipment and readable storage medium | |
TW201823757A (en) | Battery life cycle prediction system and method thereof comprising a test system, an integrated analysis system, a model calculation unit, a situation evaluation unit and a processing unit | |
CN110673037A (en) | Battery SOC estimation method and system based on improved simulated annealing algorithm |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180615 |