CN110008235A - Power battery health degree evaluation method, apparatus and system - Google Patents
Power battery health degree evaluation method, apparatus and system Download PDFInfo
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- CN110008235A CN110008235A CN201910299088.4A CN201910299088A CN110008235A CN 110008235 A CN110008235 A CN 110008235A CN 201910299088 A CN201910299088 A CN 201910299088A CN 110008235 A CN110008235 A CN 110008235A
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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]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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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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- G—PHYSICS
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Abstract
This application involves electric car Performance Evaluation field more particularly to a kind of power battery health degree evaluation methods, apparatus and system, comprising: the initial data of power battery to be evaluated is obtained from raw data databases；Initial data is handled, the evaluation data of each three-level index are obtained；According to the evaluation data of each three-level index and preset the score that each three-level index score value computation rule obtains each three-level index of power battery to be evaluated；The evaluation total score of power battery to be evaluated is calculated according to the score of default weight and each three-level index of power battery to be evaluated；The health degree grade of power battery to be evaluated is obtained according to evaluation total score and default rating scale.Since first class index includes battery use environment characteristic dimension and driving behavior dimension, influence of the scene and driving behavior when power battery uses to power battery health degree is contained comprehensively, therefore, evaluation more accurately can be made to the health degree of power battery using the technical solution of the application.
Description
Technical field
This application involves electric car Performance Evaluation field more particularly to a kind of power battery health degree evaluation methods, dress
It sets and system.
Background technique
For electric car, power battery be influence automobile overall performance an important factor for one of, therefore, either
For consumer or manufacturer, being evaluated the health degree of power battery all has more important meaning.
Currently, evaluating mainly to the static evaluation of power battery performance itself, due to electricity for power battery health degree
Electrical automobile usage scenario and use habit are all different, and the influence to power battery is also different, this is resulted in power battery
The static evaluation result of health degree is not inconsistent with actual use situation, this means that at present to the standard of power battery health degree evaluation
True property is lower.
Summary of the invention
To be overcome the problems, such as present in the relevant technologies at least to a certain extent, the application provides a kind of power battery health
Spend evaluation method, apparatus and system.
According to a first aspect of the present application, a kind of power battery health degree evaluation method is provided, comprising:
The initial data of power battery to be evaluated is obtained from raw data databases；The raw data databases are used for
Store vehicle running environment history real time data, power cell of vehicle history real time data, the driving row in vehicle travel process
For history real time data and vehicle-state history real time data；
The initial data is handled according to each three-level index in pre-set level system, obtains each three-level index
Evaluate data；The pre-set level system includes that first class index, two-level index and the three-level index, the first class index include
Battery attributes dimension, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior dimension；
According to the evaluation data of each three-level index and preset each three-level index score value computation rule obtain it is described to be evaluated
The score of each three-level index of valence power battery；
It is calculated according to the score of default weight and each three-level index of the power battery to be evaluated described to be evaluated
The evaluation total score of power battery；
The health degree grade of the power battery to be evaluated is obtained according to the evaluation total score and default rating scale.
Optionally, further includes:
According to the evaluation data of each three-level index, the history for obtaining the power battery to be evaluated uses portrait.
Optionally, each three-level index score value computation rule includes:
For part three-level index, obtained according to the evaluation data of three-level index and the corresponding evaluation data interval divided in advance
The evaluation data interval fallen into the evaluation data of each three-level index；
The corresponding score value of the evaluation data interval is determined as to the score of corresponding three-level index；
For remaining each three-level index, obtained according to the evaluation data of three-level index and preset quantile scoring model
To the score of each three-level index；The quantile scoring model is obtained by the sample data of the sample vehicle of preset number.
Optionally, the battery attributes dimension includes following two-level index: vehicle basic information, battery physical characteristic and not
Restorability factor；
The battery use environment characteristic dimension includes following two-level index: traveling road conditions, weather condition；
The battery charging and discharging characteristic dimension includes following two-level index: fast charge or trickle charge, charge strength, strength of discharge,
State-of-charge SOC, charge and discharge habit；
The driving behavior dimension includes following two-level index: with Che Qiangdu, respectively loading use intensity.
Optionally, the vehicle basic information includes following three-level index: Vehicle manufacturers, vehicle model；
The battery physical characteristic includes following three-level index: battery material, nominal voltage, nominal capacity, battery quality guarantee,
Theoretical mileage, the internal resistance of cell；
The irrecoverable sexual factor includes following three-level index: density of electrolyte change, battery pole plates sulfation, work
Property substance falls off, the continuous growth of the phase transition of grid corrosion, electrode material, solid electrolyte interface film, self discharge, leakage,
Expansion, battery case deformation or damage；
The traveling road conditions include following three-level index: category of roads, jam level；
The weather condition includes following three-level index: temperature, road surface safety；
The fast charge or trickle charge include following three-level index: fast charge number, fast charge ratio；
The charge strength includes following three-level index: charging times, fully charged number, fully charged ratio, charging
Multiplying power, depth of charge；
The strength of discharge includes following three-level index: discharge time, over-discharge number, over-discharge frequency, electric discharge
Multiplying power, depth of discharge；
The state-of-charge SOC includes following three-level index: each SOC changes bring mileage number, charge volume mode, puts
Electricity mode；
The charge and discharge habit includes following three-level index: deep fill puts number accounting deeply, shallowly fills and shallowly put number accounting, fill deeply
Number accounting is shallowly put, shallowly fills and puts number accounting deeply；
Described with vehicle intensity includes following three-level index: starting number, anxious acceleration times, average daily mileage, total kilometrage；
Each load use intensity includes following three-level index: respectively loading opening times, power is opened in each load, each negative
Carry accumulative opening time.
According to a second aspect of the present application, a kind of power battery health degree evaluating apparatus is provided, comprising:
Module is obtained, for obtaining the initial data of power battery to be evaluated from raw data databases；It is described original
Data database is for storing vehicle running environment history real time data, power cell of vehicle history real time data, vehicle driving
Driving behavior history real time data and vehicle-state history real time data in the process；
Processing module is obtained for being handled according to each three-level index in pre-set level system the initial data
To the evaluation data of each three-level index；The pre-set level system includes first class index, two-level index and the three-level index, institute
Stating first class index includes battery attributes dimension, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior
Characteristic dimension；
First computing module is calculated for the evaluation data according to each three-level index with each three-level index score value is preset
Rule obtains the score of each three-level index of the power battery to be evaluated；
Second computing module, based on the score according to each three-level index for presetting weight and the power battery to be evaluated
Calculation obtains the evaluation total score of the power battery to be evaluated；
Grading module, for obtaining the strong of the power battery to be evaluated according to the evaluation total score and default rating scale
Kang Du grade.
Optionally, further includes:
Portrait describes module and obtains the power battery to be evaluated for the evaluation data according to each three-level index
History using portrait.
Optionally, each three-level index score value computation rule includes:
For part three-level index, obtained according to the evaluation data of three-level index and the corresponding evaluation data interval divided in advance
The evaluation data interval fallen into the evaluation data of each three-level index；
The corresponding score value of the evaluation data interval is determined as to the score of corresponding three-level index；
For remaining each three-level index, obtained according to the evaluation data of three-level index and preset quantile scoring model
To the score of each three-level index；The quantile scoring model is obtained by the sample data of the sample vehicle of preset number.
Optionally, the battery attributes dimension includes following two-level index: vehicle basic information, battery physical characteristic and not
Restorability factor；
The battery use environment characteristic dimension includes following two-level index: traveling road conditions, weather condition；
The battery charging and discharging characteristic dimension includes following two-level index: fast charge or trickle charge, charge strength, strength of discharge,
State-of-charge SOC, charge and discharge habit；
The driving behavior dimension includes following two-level index: with Che Qiangdu, respectively loading use intensity；
The vehicle basic information includes following three-level index: Vehicle manufacturers, vehicle model；
The battery physical characteristic includes following three-level index: battery material, nominal voltage, nominal capacity, battery quality guarantee,
Theoretical mileage, the internal resistance of cell；
The irrecoverable sexual factor includes following three-level index: density of electrolyte change, battery pole plates sulfation, work
Property substance falls off, the continuous growth of the phase transition of grid corrosion, electrode material, solid electrolyte interface film, self discharge, leakage,
Expansion, battery case deformation or damage；
The traveling road conditions include following three-level index: category of roads, jam level；
The weather condition includes following three-level index: temperature, road surface safety；
The fast charge or trickle charge include following three-level index: fast charge number, fast charge ratio；
The charge strength includes following three-level index: charging times, fully charged number, fully charged ratio, charging
Multiplying power, depth of charge；
The strength of discharge includes following three-level index: discharge time, over-discharge number, over-discharge frequency, electric discharge
Multiplying power, depth of discharge；
The state-of-charge SOC includes following three-level index: each SOC changes bring mileage number, charge volume mode, puts
Electricity mode；
The charge and discharge habit includes following three-level index: deep fill puts number accounting deeply, shallowly fills and shallowly put number accounting, fill deeply
Number accounting is shallowly put, shallowly fills and puts number accounting deeply；
Described with vehicle intensity includes following three-level index: starting number, anxious acceleration times, average daily mileage, total kilometrage；
Each load use intensity includes following three-level index: respectively loading opening times, power is opened in each load, each negative
Carry accumulative opening time.
According to the third aspect of the application, a kind of power battery health degree evaluation system is provided, comprising:
Raw data databases；The raw data databases are used to store the power electric as described in the application first aspect
Initial data in the health degree evaluation method of pond；
The processor being connected with the raw data databases, the memory being connected with the processor；
For storing computer program, the computer program is at least used to execute power as described below the memory
Battery health degree evaluation method:
The initial data of power battery to be evaluated is obtained from raw data databases；The raw data databases are used for
Store vehicle running environment history real time data, power cell of vehicle history real time data, the driving row in vehicle travel process
For history real time data and vehicle-state history real time data；
The initial data is handled according to each three-level index in pre-set level system, obtains each three-level index
Evaluate data；The pre-set level system includes that first class index, two-level index and the three-level index, the first class index include
Battery attributes dimension, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior dimension；
According to the evaluation data of each three-level index and preset each three-level index score value computation rule obtain it is described to be evaluated
The score of each three-level index of valence power battery；
It is calculated according to the score of default weight and each three-level index of the power battery to be evaluated described to be evaluated
The evaluation total score of power battery；
The health degree grade of the power battery to be evaluated is obtained according to the evaluation total score and default rating scale.
Optionally, further includes:
According to the evaluation data of each three-level index, the history for obtaining the power battery to be evaluated uses portrait.
Optionally, each three-level index score value computation rule includes:
For part three-level index, obtained according to the evaluation data of three-level index and the corresponding evaluation data interval divided in advance
The evaluation data interval fallen into the evaluation data of each three-level index；
The corresponding score value of the evaluation data interval is determined as to the score of corresponding three-level index；
For remaining each three-level index, obtained according to the evaluation data of three-level index and preset quantile scoring model
To the score of each three-level index；The quantile scoring model is obtained by the sample data of the sample vehicle of preset number.
Optionally, the battery attributes dimension includes following two-level index: vehicle basic information, battery physical characteristic and not
Restorability factor；
The battery use environment characteristic dimension includes following two-level index: traveling road conditions, weather condition；
The battery charging and discharging characteristic dimension includes following two-level index: fast charge or trickle charge, charge strength, strength of discharge,
State-of-charge SOC, charge and discharge habit；
The driving behavior dimension includes following two-level index: with Che Qiangdu, respectively loading use intensity.
Optionally, the vehicle basic information includes following three-level index: Vehicle manufacturers, vehicle model；
The battery physical characteristic includes following three-level index: battery material, nominal voltage, nominal capacity, battery quality guarantee,
Theoretical mileage, the internal resistance of cell；
The irrecoverable sexual factor includes following three-level index: density of electrolyte change, battery pole plates sulfation, work
Property substance falls off, the continuous growth of the phase transition of grid corrosion, electrode material, solid electrolyte interface film, self discharge, leakage,
Expansion, battery case deformation or damage；
The traveling road conditions include following three-level index: category of roads, jam level；
The weather condition includes following three-level index: temperature, road surface safety；
The fast charge or trickle charge include following three-level index: fast charge number, fast charge ratio；
The charge strength includes following three-level index: charging times, fully charged number, fully charged ratio, charging
Multiplying power, depth of charge；
The strength of discharge includes following three-level index: discharge time, over-discharge number, over-discharge frequency, electric discharge
Multiplying power, depth of discharge；
The state-of-charge SOC includes following three-level index: each SOC changes bring mileage number, charge volume mode, puts
Electricity mode；
The charge and discharge habit includes following three-level index: deep fill puts number accounting deeply, shallowly fills and shallowly put number accounting, fill deeply
Number accounting is shallowly put, shallowly fills and puts number accounting deeply；
Described with vehicle intensity includes following three-level index: starting number, anxious acceleration times, average daily mileage, total kilometrage；
Each load use intensity includes following three-level index: respectively loading opening times, power is opened in each load, each negative
Carry accumulative opening time.
The processor is for calling and executing the computer program in the memory.
Technical solution provided by the present application can include the following benefits: obtain from raw data databases to be evaluated
The initial data of power battery handles the initial data according to each three-level index in pre-set level system, obtains
The evaluation data of each three-level index；Then according to the evaluation data of each three-level index and presetting each three-level index score value computation rule
The score of each three-level index of power battery to be evaluated is obtained, according to each three-level index of default weight and power battery to be evaluated
Score the evaluation total score of power battery to be evaluated is calculated, finally obtained according to evaluation total score and default rating scale to be evaluated
The health degree grade of valence power battery.Wherein, vehicle running environment history real time data, vehicle are stored in raw data databases
Power battery history real time data, the driving behavior history real time data in vehicle travel process and vehicle-state history are real-time
Data, and pre-set level system includes first class index, two-level index and the three-level index, first class index includes battery attributes dimension
Degree, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior dimension, since first class index includes
Battery attributes dimension, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior dimension are wrapped comprehensively
Influence of the scene and driving behavior when power battery uses to power battery health degree, therefore, the technology of the application are contained
The evaluation result of scheme is more consistent with actual use situation, can be more accurately to power electric using the technical solution of the application
The health degree in pond makes evaluation.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The application can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the application
Example, and together with specification it is used to explain the principle of the application.
Fig. 1 is a kind of flow diagram for power battery health degree evaluation method that embodiments herein one provides.
Fig. 2 is a kind of power battery health degree evaluating apparatus structural schematic diagram that embodiments herein two provides.
Fig. 3 is a kind of power battery health degree evaluation system structural schematic diagram that embodiments herein three provides.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the application.
With the popularization of new-energy automobile market and the raising of user cognition degree, the sales volume of electric car just increases year by year,
Its power resources is mainly battery, and performance has great influence to using and developing for electric car.But battery is in continuation of the journey
There are still biggish technical bottlenecks for journey, charging time, service life and safety etc., restrict the application of electric car
Then the synthetic performance evaluation of electric automobile power battery is then particularly important with development.
Mainly there are overall evaluation system method, remaining battery circulation longevity for battery synthetic performance evaluation method both at home and abroad at present
Order (RUL) predicted method, power battery available capacity predicted method and power battery voltage power supply platform measuring method.
Wherein, overall evaluation system method, more comprehensively summarized by building System of Comprehensive Evaluation influences to move first
The influence factor of power battery comprehensive performance；Secondly, being existed using the method that certain is determined to power battery based on index calculated result
The score of each base values is given a mark, and determines that each index weights weight by expert graded or level entropy assessment, then,
The two is combined, first class index score, comprehensive score is successively calculated, power battery is made most finally by rating scale
Final review grade.
Remaining battery Cycle life prediction method is estimated by battery current age state, will be estimated
As a result it is compared with the service life by condition, and then predicts process, that is, power battery of following serviceable bife from current time
The number of charge and discharge is repeated before arrival life end point.
Power battery available capacity predicted method, common technical indicator are cell health state (SOH), and SOH is defined as electricity
Pond is under certain working environment, the ratio between actual capacity and new battery rated capacity, when the actual capacity of battery is reduced to specified appearance
When the 80% of amount, the i.e. SOH value of battery are 0.8, that is, think that the service life of battery has terminated.Multi-pass is excessively interior on document at present
Resistance, charge-discharge magnification parameter carry out SOH assessment.
Power battery voltage power supply platform measuring rule is, in constant-current discharge, voltage has a relatively stable mistake
Journey, and this voltage stationary value is the charge and discharge platform of power battery, the process duration is longer, then represents power battery
Can be better, it is compared, the comprehensive performance of mesuring battary can be made finally by the voltage power supply platform with normal cell
Evaluation.
Existing power battery health degree integrated evaluating method mainly from following index, including voltage, capacity,
Internal resistance, energy density, power density, state-of-charge, depth of discharge, service life, self-discharge rate, manufacturing process, negative electrode material,
The indexs such as environment temperature, and battery is placed under conditions of one is stable by a setting by offline, physical test method
Test program in, Physical Experiment is carried out to battery, to obtain the design parameter value of each index, then passes through level entropy weight
Method, expert graded determine the weighting flexible strategy of each Performance Influence Factor of power battery, and construct electricity to be measured using gray Analysis method
The two is finally combined and each index score is successively calculated by pond jdgement matrix, and combines rating scale to mesuring battary
Provide final grading.
There is no consider the history such as battery use environment feature, driving behavior using characteristic factor to the above each method
Inside, only consider battery itself internal factor, and Performance Evaluation is carried out to it in laboratory conditions, one side this method is in electricity
It is very difficult in electrical automobile operational process, it cannot accomplish online, real-time monitoring to battery；On the other hand, due to electronic
Automobile usage scenario and use habit are all different, and the influence to power battery is also different, this results in strong to power battery
The static evaluation result of Kang Du is not inconsistent with actual use situation, this means that at present to the accurate of power battery health degree evaluation
Property is lower.
In order to overcome the above technical problems, the application proposes a kind of power battery health degree evaluation method, apparatus and system.
Embodiment one
Referring to Fig. 1, Fig. 1 is a kind of process for power battery health degree evaluation method that embodiments herein one provides
Schematic diagram.
As shown in Figure 1, power battery health degree evaluation method provided in this embodiment includes:
Step 11, the initial data that power battery to be evaluated is obtained from raw data databases；Raw data databases
For storing vehicle running environment history real time data, power cell of vehicle history real time data, driving in vehicle travel process
Sail behavior history real time data and vehicle-state history real time data.
Step 12 is handled initial data according to each three-level index in pre-set level system, is obtained each three-level and is referred to
Target evaluates data；Pre-set level system includes first class index, two-level index and three-level index, and first class index includes battery attributes
Dimension, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior dimension.
Step 13, according to the evaluation data of each three-level index and preset each three-level index score value computation rule obtain it is to be evaluated
The score of each three-level index of power battery.
To be evaluated move is calculated according to the score for each three-level index for presetting weight and power battery to be evaluated in step 14
The evaluation total score of power battery.
Step 15 obtains the health degree grade of power battery to be evaluated according to evaluation total score and default rating scale.
The initial data that power battery to be evaluated is obtained from raw data databases, according to each in pre-set level system
Three-level index handles initial data, obtains the evaluation data of each three-level index；Then according to the evaluation of each three-level index
Data and the score that each three-level index score value computation rule obtains each three-level index of power battery to be evaluated is preset, according to default
The evaluation total score of power battery to be evaluated, last root is calculated in the score of weight and each three-level index of power battery to be evaluated
The health degree grade of power battery to be evaluated is obtained according to evaluation total score and default rating scale.Wherein, in raw data databases
Store vehicle running environment history real time data, power cell of vehicle history real time data, the driving in vehicle travel process
Behavior history real time data and vehicle-state history real time data, and pre-set level system include first class index, two-level index and
Three-level index, first class index include battery attributes dimension, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and drive
Behavioural characteristic dimension is sailed, since first class index includes battery attributes dimension, battery use environment characteristic dimension, battery charging and discharging spy
Dimension and driving behavior dimension are levied, contains scene when power battery uses and driving behavior comprehensively to power battery
The influence of health degree, therefore, the evaluation result of the technical solution of the application are more consistent with actual use situation, use the application
Technical solution evaluation more accurately can be made to the health degree of power battery.
It should be noted that the pre-set level system in step 12 can be as shown in table 1.
Table 1
Wherein, due to battery use environment dimension, battery charging and discharging characteristic dimension, the original number of driving behavior dimension
According to for the real-time transient data of electric car, and each three-level index is then the statistical number of power battery historical events in index system
According to, therefore need to obtain the specific value of part three-level index by carrying out relevant calculation to initial data, i.e., each three-level index
Evaluate data.
It is as follows that it handles rule:
Category of roads: category of roads is divided into 5 levels, respectively highway, 1 grade of road, 2 grades of roads, 3 grades first
Then road, 4 grades of roads calculate total kilometrage under different category of roads and distinguish accounting, and the category of roads that mileage accounting is most
It is considered as the specific value of three-level index category of roads.
Jam level: the road degree of crowding is divided into unimpeded, substantially unimpeded, slight congestion, moderate congestion, heavy congestion 5
Then a level calculates total kilometrage under the different degree of crowding and distinguishes accounting, the most congestion levels of accounting are then considered as three-level index
The specific value of the degree of crowding.
Temperature: it is based on temperature, 20 DEG C is will be less than and is defined as low temperature, 20-36 DEG C is defined as room temperature, is defined as height higher than 36 DEG C
Temperature counts the corresponding mileage number of each temperature grade respectively, and the maximum temperature grade of mileage number is considered as to the tool of three-level target temperature
Body value, such as room temperature.
Road surface safety: being divided into 5 grades for road safety first, be absolutely unsafe, be more dangerous, is general, is safer,
Safety, hereafter summarizes mileage sum corresponding to different safety class, and the corresponding maximum security level of mileage number then regards
For the specific value of three-level index road safety.
Fast charge number: being directed to run-length data, for wherein any one charging stroke, its initial data is observed, if in SOC
In the case of 80%, charging current is greater than 150A, then defines this time and be charged as fast charge, be otherwise trickle charge, finally will
All charging strokes for being defined as fast charge of history are summarized, and obtain the test total fast charge number of vehicle as three-level index fast charge
Specific value.
Charging times: it is directed to run-length data, its all charging stroke is summarized to obtain three-level index charging times
Specific value.
Fast charge ratio: three-level index fast charge number/total charging times are defined as test vehicle history fast charge ratio by this patent
Example.
Fully charged number: in run-length data, for a certain specific charging stroke, if its Finish_SOC >=90%,
It is fully charged then to think that this time is charged as, and is defined as full charge of charging stroke to history is all and summarizes, obtains
Specific value of the fully charged number of vehicle as the fully charged number of three-level index.
Fully charged ratio: the fully charged number of three-level index/total charging times are defined as three-level index is fully charged
The specific value of ratio.
Rate of charge: the charging current under charged state in initial data is averaged and divided by battery rated capacity,
Calculate specific value of the acquired results as three-level index rate of charge.
Depth of charge: in run-length data, this patent makees its Finish_SOC for wherein a certain specific charging stroke
For the depth of charge of the secondary charging into, and depth of charge is specifically divided to five sections, 45% or less, 45-60%, 60-75%,
Then the depth of charge of all charging strokes of vehicle is sorted out and is counted by 75-90%, 90% or more, cumulative number is most
Section be then three-level index depth of charge specific value.
Discharge time: in run-length data, all electric discharge strokes are summarized to obtain the tool of three-level index discharge time
Body value.
Over-discharge number: in run-length data, this patent is directed to any one charging stroke, if its Start_SOC≤
20%, then defining last time charge and discharge cycles is then over-discharge counts the charging stroke of all Start_SOC≤20%,
And its final result is considered as to the specific value of three-level index over-discharge number.
Over-discharge frequency: by three-level index over-discharge number/total months, obtaining average monthly over-discharge number,
And as the specific value of three-level index over-discharge frequency.
Discharge-rate: in run-length data, the electric current under each electric discharge stroke is averaged, using its calculated result as this
The average discharge current of secondary electric discharge stroke, and so on, the average discharge current under each electric discharge stroke is calculated, wherein position is finally taken
Specific value of the number as three-level index discharge-rate.
Depth of discharge: in run-length data, this patent makees its Start_SOC for wherein a certain specific charging stroke
For the depth of discharge of last time charge and discharge cycles, and depth of discharge is specifically divided into 5 sections, 25% hereinafter, 25-40%, 40-
Then the depth of discharge of all electric discharge strokes of vehicle is sorted out and is counted, cumulative number by 55%, 55-70%, 70% or more
Specific value of most sections as three-level index depth of discharge.
Each SOC changes bring mileage number: vehicle being added up mileage travelled number/accumulated discharge amount, obtains calculated result
The specific value of bring mileage number is changed as each SOC of three-level index.
Charge volume mode: in run-length data, this patent is directed to each charging stroke, by its finish_SOC-start_
SOC adds up charge volume as this time charging stroke, and charge volume is specifically divided into six sections, respectively 30%SOC or less,
30-45%SOC, 45-60%SOC, 60-75%SOC, 75-90%SOC, 90%SOC or more, then by all charging row of vehicle
The charge volume of journey is sorted out and is counted, using the most section of cumulative number specifically taking as three-level index charge volume mode
Value.
Discharge capacity mode: in run-length data, this patent is directed to each electric discharge stroke, by start_SOC-finish_SOC
Discharge stroke accumulated discharge amount as this time, and discharge capacity be divided into five sections, 25%SOC or less, 25-40%SOC,
Then the accumulated discharge amount of each electric discharge stroke is carried out specific sort out simultaneously by 40-55%SOC, 55-70%SOC, 70%SOC or more
Summarize, selection summarizes specific value of the most section of number as three-level index discharge capacity mode.
Wherein, battery attributes dimension includes following two-level index: vehicle basic information, battery physical characteristic and irrecoverable
Sexual factor；
Battery use environment characteristic dimension includes following two-level index: traveling road conditions, weather condition；
Battery charging and discharging characteristic dimension includes following two-level index: fast charge or trickle charge, charge strength, strength of discharge, charged
State SOC, charge and discharge habit；
Driving behavior dimension includes following two-level index: with Che Qiangdu, respectively loading use intensity.
Vehicle basic information includes following three-level index: Vehicle manufacturers, vehicle model；
Battery physical characteristic includes following three-level index: battery material, nominal voltage, nominal capacity, battery quality guarantee, theory
Mileage, the internal resistance of cell；
Irrecoverable sexual factor includes following three-level index: density of electrolyte change, battery pole plates sulfation, active matter
Matter falls off, the continuous growth of the phase transition of grid corrosion, electrode material, solid electrolyte interface film, self discharge, leakage, expansion,
Battery case deformation or damage；
Travelling road conditions includes following three-level index: category of roads, jam level；
Weather condition includes following three-level index: temperature, road surface safety；
Fast charge or trickle charge include following three-level index: fast charge number, fast charge ratio；
Charge strength includes following three-level index: charging times, fully charged number, fully charged ratio, rate of charge,
Depth of charge；
Strength of discharge includes following three-level index: discharge time, over-discharge number, over-discharge frequency, discharge-rate,
Depth of discharge；
State-of-charge SOC includes following three-level index: each SOC changes bring mileage number, charge volume mode, discharge capacity
Mode；
Charge and discharge habit includes following three-level index: deep fill puts number accounting deeply, shallowly fills and shallowly put number accounting, fill and shallowly put deeply
Number accounting shallowly fills and puts number accounting deeply；
It include following three-level index with vehicle intensity: starting number, anxious acceleration times, average daily mileage, total kilometrage；
Each load use intensity includes following three-level index: respectively loading opening times, power is opened in each load, each load is tired
Count opening time.
In addition, can specifically include in step 13: be directed to part three-level index, according to the evaluation data of three-level index and
The corresponding evaluation data interval divided in advance obtains the evaluation data interval that the evaluation data of each three-level index are fallen into；
The corresponding score value of the evaluation data interval is determined as to the score of corresponding three-level index；
For remaining each three-level index, obtained according to the evaluation data of three-level index and preset quantile scoring model
To the score of each three-level index；The quantile scoring model is obtained by the sample data of the sample vehicle of preset number.
Specifically, the scoring method to three-level index can be divided into following three kinds according to the difference of each three-level index:
The first applicable three-level index has fast charge number, fast charge ratio, charging times, rate of charge, fully charged time
Several, fully charged ratio, discharge time, over-discharge number, over-discharge frequency, discharge-rate, deep fill deep put number and account for
Than, shallowly fill and deep put number accounting, starting number, anxious acceleration times, average daily mileage, total kilometrage, respectively load opening times, each load
Open power, each load adds up opening time.
Maximum value Max (x') and minimum M in of the sample vehicle in above-mentioned each three-level index of preset number are obtained first
(x') quantile scoring model is established respectively, and as shown in the first formula, power electric to be evaluated is then calculated according to the first formula
The score of the above-mentioned each three-level index in pond.
First formula are as follows:
Second of three-level index being applicable in has each SOC to change bring mileage number, shallowly fills and shallowly put number accounting, fill deeply shallowly
Put number accounting.
Maximum value Max (y') and minimum M in of the sample vehicle in above-mentioned each three-level index of preset number are obtained first
(y'), quantile scoring model is established respectively, and as shown in the second formula, power electric to be evaluated is then calculated according to the second formula
The score of the above-mentioned each three-level index in pond.
Second formula are as follows:
Wherein, the f in the first formula and the second formula is mapping function, section 0-100 can be mapped to 40-90.
The third is the scoring method of remaining three-level index, specific:
Charge volume mode: 30 the following are 70 points, 30-45 be 80 points, 45-60 is 90 points, 60-75 is 60 points, 75-90 50
Point, 90 the above are 40 points；
Discharge capacity mode: 10 the following are 60 points, 10-20 be 80 points, 20-30 is 90 points, 30-40 is 70 points, 40-50 50
Point, 50 the above are 40 points；
Depth of charge mode: 45 the following are 40 points, 45-60 be 55 points, 60-75 is 70 points, 75-90 is 85 points, 90 or more
It is 90 points；；
Depth of discharge mode: 25 the following are 40 points, 25-40 be 55 points, 40-55 is 70 points, 55-70 is 85 points, 70 or more
It is 90 points；
Category of roads: level Four road is 40 points, three-level road is 55 points, secondary road is 70 points, level-one road is 85 points,
Highway is 90 points；
Congestion level: heavy congestion is 40 points, moderate congestion is 55 points, slight congestion is 70 points, it is substantially unimpeded be 85 points,
Unimpeded is 90 points；
Road surface safety: be absolutely unsafe for 40 points, it is more dangerous be 55 points, generally 70 points, relatively safety be 85 points, safety
It is 90 points；
Temperature: low temperature is 40 points, higher temperature is 65 points, room temperature is 90 points；
Vehicle manufacturers and model: constantly being adjusted according to Real-Time Evaluation and public praise and real-time update；
Battery material: lithium manganate battery is 70 points, ferric phosphate lithium cell is 80 points, ternary lithium battery is 90 points；
Battery quality guarantee: 3 years/100,000 km are 40 points, 6 years/120,000 km are 60 points, 8 years/120,000 km are 70 points, 8 years/150,000
Km is 80 points, 8 years/unlimited mileage is 85 points, lifelong quality guarantee is 90 points；
Theoretical mileage (full electricity): 0-200km is 60 points, 200-300km is 70 points, 300-400km is 80 points, 400km with
Upper is 90 points；
The internal resistance of cell (Ohmic resistance and polarization resistance): 100m Ω is 40 points, 60m Ω is 60 points, 50m Ω is 70 points, 40m
Ω is 80 points, 30m Ω is 85 points, 20m Ω is 90 points；
Density of electrolyte changes: seriously changing into 40 points, medium change into 60 points, slightly change into 80 points, have no change
It is 90 points；
Battery pole plates sulfation: serious salt turns to 40 points, intermediate salt turns to 60 points, slight salt turns to 80 points, has no salt
Turn to 90 points；
Active material falls off: severe detachment is 40 points, it is medium fall off for 60 points, slightly fall off for 80 points, have no fall off for
90 points；
Grid corrosion: it is 90 points that heavy corrosion, which is 40 points, moderate corrosion is 60 points, slight erosion is 80 points, has no corrosion；
The phase transition of electrode material: seriously be changed into 40 points, it is medium be changed into 60 points, slightly be changed into 80 points, have no turn
Become 90 points；
The continuous growth of solid electrolyte interface film (SEI): serious growth is 40 points, medium growth is 60 points, slight increasing
A length of 80 points, have no growth for 90 points；
Self discharge (reversible, irreversible): serious electric discharge is 60 points, medium electric discharge is 80 points, slight electric discharge is 90 points；
Leakage, tympanites, battery case deformation or damage: be seriously 40 points, it is medium be 60 points, it is slight be 80 points, have no for
90 points.
In step 14, adding for each pole index, two-level index and three-level index can be specifically determined by expert graded
Weight is weighed, and according to the weighting weight of three-level index is successively weighted three-level index score cumulative, each second level is obtained and refers to
Two-level index score, is then successively weighted according to the weighting weight of two-level index cumulative by target score, obtains each level-one
First class index score, is finally successively weighted according to the weighting weight of first class index cumulative by the score of index, is evaluated
Total score.
In step 15, it is as shown in table 2 to preset rating scale.
Table 2
Further, the exemplary method of this implementation can also include, according to the evaluation data of three-level index, obtaining to be evaluated
The history of power battery uses portrait.
The history for providing part three-level index is obtained example using portrait by the present embodiment:
Category of roads: category of roads is divided into 5 levels, respectively highway, 1 grade of road, 2 grades of roads, 3 grades first
Then road, 4 grades of roads calculate total kilometrage under different category of roads and distinguish accounting, and the category of roads that mileage accounting is most
It is considered as the specific value of three-level index category of roads.
Jam level: the road degree of crowding is divided into unimpeded, substantially unimpeded, slight congestion, moderate congestion, heavy congestion 5
Then a level calculates total kilometrage under the different degree of crowding and distinguishes accounting, the most congestion levels of accounting are then considered as three-level index
The specific value of the degree of crowding.
Temperature: it is based on temperature, 20 DEG C is will be less than and is defined as low temperature, 20-36 DEG C is defined as room temperature, is defined as height higher than 36 DEG C
Temperature counts the corresponding mileage number of each temperature grade respectively, and the maximum temperature grade of mileage number is considered as to the tool of three-level target temperature
Body value, such as room temperature.
Road surface safety: being divided into 5 grades for road safety first, be absolutely unsafe, be more dangerous, is general, is safer,
Safety, hereafter summarizes mileage sum corresponding to different safety class, and the corresponding maximum security level of mileage number then regards
For the specific value of three-level index road safety.
Fast charge number: being directed to run-length data, for wherein any one charging stroke, its initial data is observed, if in SOC
In the case of 80%, charging current is greater than 150A, then defines this time and be charged as fast charge, be otherwise trickle charge, finally will
All charging strokes for being defined as fast charge of history are summarized, and obtain the test total fast charge number of vehicle as three-level index fast charge
Specific value.
Charging times: it is directed to run-length data, its all charging stroke is summarized to obtain three-level index charging times
Specific value.
Fast charge ratio: three-level index fast charge number/total charging times are defined as test vehicle history fast charge ratio by this patent
Example.
Fully charged number: in run-length data, for a certain specific charging stroke, if its Finish_SOC >=90%,
It is fully charged then to think that this time is charged as, and is defined as full charge of charging stroke to history is all and summarizes, obtains
Specific value of the fully charged number of vehicle as the fully charged number of three-level index.
Fully charged ratio: the fully charged number of three-level index/total charging times are defined as three-level index is fully charged
The specific value of ratio.
Rate of charge: the charging current under charged state in initial data is averaged and divided by battery rated capacity,
Calculate specific value of the acquired results as three-level index rate of charge.
Depth of charge: in run-length data, this patent makees its Finish_SOC for wherein a certain specific charging stroke
For the depth of charge of the secondary charging into, and depth of charge is specifically divided to five sections, 45% or less, 45-60%, 60-75%,
Then the depth of charge of all charging strokes of vehicle is sorted out and is counted by 75-90%, 90% or more, cumulative number is most
Section be then three-level index depth of charge specific value.
Discharge time: in run-length data, all electric discharge strokes are summarized to obtain the tool of three-level index discharge time
Body value.
Over-discharge number: in run-length data, this patent is directed to any one charging stroke, if its Start_SOC≤
20%, then defining last time charge and discharge cycles is then over-discharge counts the charging stroke of all Start_SOC≤20%,
And its final result is considered as to the specific value of three-level index over-discharge number.
Over-discharge frequency: by three-level index over-discharge number/total months, obtaining average monthly over-discharge number,
And as the specific value of three-level index over-discharge frequency.
Discharge-rate: in run-length data, the electric current under each electric discharge stroke is averaged, using its calculated result as this
The average discharge current of secondary electric discharge stroke, and so on, the average discharge current under each electric discharge stroke is calculated, wherein position is finally taken
Specific value of the number as three-level index discharge-rate.
Depth of discharge: in run-length data, this patent makees its Start_SOC for wherein a certain specific charging stroke
For the depth of discharge of last time charge and discharge cycles, and depth of discharge is specifically divided into 5 sections, 25% hereinafter, 25-40%, 40-
Then the depth of discharge of all electric discharge strokes of vehicle is sorted out and is counted, cumulative number by 55%, 55-70%, 70% or more
Specific value of most sections as three-level index depth of discharge.
Each SOC changes bring mileage number: vehicle being added up mileage travelled number/accumulated discharge amount, obtains calculated result
The specific value of bring mileage number is changed as each SOC of three-level index.
Charge volume mode: in run-length data, this patent is directed to each charging stroke, by its finish_SOC-start_
SOC adds up charge volume as this time charging stroke, and charge volume is specifically divided into six sections, respectively 30%SOC or less,
30-45%SOC, 45-60%SOC, 60-75%SOC, 75-90%SOC, 90%SOC or more, then by all charging row of vehicle
The charge volume of journey is sorted out and is counted, using the most section of cumulative number specifically taking as three-level index charge volume mode
Value.
Discharge capacity mode: in run-length data, this patent is directed to each electric discharge stroke, by start_SOC-finish_SOC
Discharge stroke accumulated discharge amount as this time, and discharge capacity be divided into five sections, 25%SOC or less, 25-40%SOC,
Then the accumulated discharge amount of each electric discharge stroke is carried out specific sort out simultaneously by 40-55%SOC, 55-70%SOC, 70%SOC or more
Summarize, selection summarizes specific value of the most section of number as three-level index discharge capacity mode.
Embodiment two
Referring to Fig. 2, Fig. 2 is that a kind of power battery health degree evaluating apparatus structure that embodiments herein two provides is shown
It is intended to.
As shown in Fig. 2, power battery health degree evaluating apparatus provided in this embodiment includes:
Module 21 is obtained, for obtaining the initial data of power battery to be evaluated from raw data databases；Original number
According to database for storing vehicle running environment history real time data, power cell of vehicle history real time data, vehicle driving mistake
Driving behavior history real time data and vehicle-state history real time data in journey；
Processing module 22 is obtained for being handled according to each three-level index in pre-set level system initial data
The evaluation data of each three-level index；Pre-set level system includes that first class index, two-level index and three-level index, first class index include
Battery attributes dimension, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior dimension；
First computing module 23 calculates rule with each three-level index score value is preset for the evaluation data according to each three-level index
Then obtain the score of each three-level index of power battery to be evaluated；
Second computing module 24, for being calculated according to the score for each three-level index for presetting weight and power battery to be evaluated
Obtain the evaluation total score of power battery to be evaluated；
Grading module 25, for obtaining the health degree etc. of power battery to be evaluated according to evaluation total score and default rating scale
Grade.
Further, further includes:
Portrait describes module, and for the evaluation data according to each three-level index, the history for obtaining power battery to be evaluated makes
With portrait.
Further, each three-level index score value computation rule includes:
For part three-level index, obtained according to the evaluation data of three-level index and the corresponding evaluation data interval divided in advance
The evaluation data interval fallen into the evaluation data of each three-level index；
The corresponding score value of the evaluation data interval is determined as to the score of corresponding three-level index；
For remaining each three-level index, obtained according to the evaluation data of three-level index and preset quantile scoring model
To the score of each three-level index；The quantile scoring model is obtained by the sample data of the sample vehicle of preset number.
Further, battery attributes dimension includes following two-level index: vehicle basic information, battery physical characteristic and can not
Restore sexual factor；
Battery use environment characteristic dimension includes following two-level index: traveling road conditions, weather condition；
Battery charging and discharging characteristic dimension includes following two-level index: fast charge or trickle charge, charge strength, strength of discharge, charged
State SOC, charge and discharge habit；
Driving behavior dimension includes following two-level index: with Che Qiangdu, respectively loading use intensity.
Vehicle basic information includes following three-level index: Vehicle manufacturers, vehicle model；
Battery physical characteristic includes following three-level index: battery material, nominal voltage, nominal capacity, battery quality guarantee, theory
Mileage, the internal resistance of cell；
Irrecoverable sexual factor includes following three-level index: density of electrolyte change, battery pole plates sulfation, active matter
Matter falls off, the continuous growth of the phase transition of grid corrosion, electrode material, solid electrolyte interface film, self discharge, leakage, expansion,
Battery case deformation or damage；
Travelling road conditions includes following three-level index: category of roads, jam level；
Weather condition includes following three-level index: temperature, road surface safety；
Fast charge or trickle charge include following three-level index: fast charge number, fast charge ratio；
Charge strength includes following three-level index: charging times, fully charged number, fully charged ratio, rate of charge,
Depth of charge；
Strength of discharge includes following three-level index: discharge time, over-discharge number, over-discharge frequency, discharge-rate,
Depth of discharge；
State-of-charge SOC includes following three-level index: each SOC changes bring mileage number, charge volume mode, discharge capacity
Mode；
Charge and discharge habit includes following three-level index: deep fill puts number accounting deeply, shallowly fills and shallowly put number accounting, fill and shallowly put deeply
Number accounting shallowly fills and puts number accounting deeply；
It include following three-level index with vehicle intensity: starting number, anxious acceleration times, average daily mileage, total kilometrage；
Each load use intensity includes following three-level index: respectively loading opening times, power is opened in each load, each load is tired
Count opening time.
Embodiment three
Referring to Fig. 3, Fig. 3 is that a kind of power battery health degree evaluation system structure that embodiments herein three provides is shown
It is intended to.
As shown in figure 3, power battery health degree evaluation system provided in this embodiment includes:
Raw data databases 31；Raw data databases are used to store the power battery health degree of embodiment one such as and evaluate
Initial data in method；
The processor 32 being connected with raw data databases, the memory 33 being connected with processor；
Memory for storing computer program, comment by the power battery health degree that computer program is at least used for embodiment one
Valence method；
Processor is for calling and executing the computer program in memory.
It is understood that same or similar part can mutually refer in the various embodiments described above, in some embodiments
Unspecified content may refer to the same or similar content in other embodiments.
It should be noted that term " first ", " second " etc. are used for description purposes only in the description of the present application, without
It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present application, unless otherwise indicated, the meaning of " multiple "
Refer at least two.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be by the application
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the application can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
Suddenly be that relevant hardware can be instructed to complete by program, program can store in a kind of computer readable storage medium
In, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, can integrate in a processing module in each functional unit in each embodiment of the application
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is contained at least one embodiment or example of the application.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although embodiments herein has been shown and described above, it is to be understood that above-described embodiment is example
Property, it should not be understood as the limitation to the application, those skilled in the art within the scope of application can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (10)
1. a kind of power battery health degree evaluation method characterized by comprising
The initial data of power battery to be evaluated is obtained from raw data databases；The raw data databases are for storing
Vehicle running environment history real time data, power cell of vehicle history real time data, the driving behavior in vehicle travel process are gone through
History real time data and vehicle-state history real time data；
The initial data is handled according to each three-level index in pre-set level system, obtains the evaluation of each three-level index
Data；The pre-set level system includes that first class index, two-level index and the three-level index, the first class index include battery
Attribute dimensions, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior dimension；
According to the evaluation data of each three-level index and preset each three-level index score value computation rule obtain it is described to be evaluated dynamic
The score of each three-level index of power battery；
The power to be evaluated is calculated according to the score of default weight and each three-level index of the power battery to be evaluated
The evaluation total score of battery；
The health degree grade of the power battery to be evaluated is obtained according to the evaluation total score and default rating scale.
2. power battery health degree evaluation method according to claim 1, which is characterized in that further include:
According to the evaluation data of each three-level index, the history for obtaining the power battery to be evaluated uses portrait.
3. power battery health degree evaluation method according to claim 1, which is characterized in that each three-level index score value
Computation rule includes:
For part three-level index, obtained respectively according to the evaluation data of three-level index and the corresponding evaluation data interval divided in advance
The evaluation data interval that the evaluation data of three-level index are fallen into；
The corresponding score value of the evaluation data interval is determined as to the score of corresponding three-level index；
For remaining each three-level index, obtained respectively according to the evaluation data of three-level index and preset quantile scoring model
The score of three-level index；The quantile scoring model is obtained by the sample data of the sample vehicle of preset number.
4. power battery health degree evaluation method according to claim 1, which is characterized in that the battery attributes dimension packet
Include following two-level index: vehicle basic information, battery physical characteristic and irrecoverable sexual factor；
The battery use environment characteristic dimension includes following two-level index: traveling road conditions, weather condition；
The battery charging and discharging characteristic dimension includes following two-level index: fast charge or trickle charge, charge strength, strength of discharge, charged
State SOC, charge and discharge habit；
The driving behavior dimension includes following two-level index: with Che Qiangdu, respectively loading use intensity.
5. power battery health degree evaluation method according to claim 4, which is characterized in that the vehicle basic information packet
Include following three-level index: Vehicle manufacturers, vehicle model；
The battery physical characteristic includes following three-level index: battery material, nominal voltage, nominal capacity, battery quality guarantee, theory
Mileage, the internal resistance of cell；
The irrecoverable sexual factor includes following three-level index: density of electrolyte change, battery pole plates sulfation, active matter
Matter falls off, the continuous growth of the phase transition of grid corrosion, electrode material, solid electrolyte interface film, self discharge, leakage, expansion,
Battery case deformation or damage；
The traveling road conditions include following three-level index: category of roads, jam level；
The weather condition includes following three-level index: temperature, road surface safety；
The fast charge or trickle charge include following three-level index: fast charge number, fast charge ratio；
The charge strength includes following three-level index: charging times, fully charged number, fully charged ratio, rate of charge,
Depth of charge；
The strength of discharge includes following three-level index: discharge time, over-discharge number, over-discharge frequency, discharge-rate,
Depth of discharge；
The state-of-charge SOC includes following three-level index: each SOC changes bring mileage number, charge volume mode, discharge capacity
Mode；
The charge and discharge habit includes following three-level index: deep fill puts number accounting deeply, shallowly fills and shallowly put number accounting, fill and shallowly put deeply
Number accounting shallowly fills and puts number accounting deeply；
Described with vehicle intensity includes following three-level index: starting number, anxious acceleration times, average daily mileage, total kilometrage；
Each load use intensity includes following three-level index: respectively loading opening times, power is opened in each load, each load is tired
Count opening time.
6. a kind of power battery health degree evaluating apparatus characterized by comprising
Module is obtained, for obtaining the initial data of power battery to be evaluated from raw data databases；The initial data
Database is for storing vehicle running environment history real time data, power cell of vehicle history real time data, vehicle travel process
In driving behavior history real time data and vehicle-state history real time data；
Processing module obtains each for being handled according to each three-level index in pre-set level system the initial data
The evaluation data of three-level index；The pre-set level system includes first class index, two-level index and the three-level index, and described one
Grade index includes battery attributes dimension, battery use environment characteristic dimension, battery charging and discharging characteristic dimension and driving behavior
Dimension；
First computing module, for according to the evaluation data of each three-level index and presetting each three-level index score value computation rule
Obtain the score of each three-level index of the power battery to be evaluated；
Second computing module, for being calculated according to the score for each three-level index for presetting weight and the power battery to be evaluated
To the evaluation total score of the power battery to be evaluated；
Grading module, for obtaining the health degree of the power battery to be evaluated according to the evaluation total score and default rating scale
Grade.
7. power battery health degree evaluating apparatus according to claim 6, which is characterized in that further include:
Portrait describes module and obtains going through for the power battery to be evaluated for the evaluation data according to each three-level index
History uses portrait.
8. power battery health degree evaluating apparatus according to claim 6, which is characterized in that each three-level index score value
Computation rule includes:
For part three-level index, obtained respectively according to the evaluation data of three-level index and the corresponding evaluation data interval divided in advance
The evaluation data interval that the evaluation data of three-level index are fallen into；
The corresponding score value of the evaluation data interval is determined as to the score of corresponding three-level index；
For remaining three-level index, each three are obtained according to the evaluation data of three-level index and preset quantile scoring model
The score of grade index；The quantile scoring model is obtained by the sample data of the sample vehicle of preset number.
9. power battery health degree evaluating apparatus according to claim 6, which is characterized in that the battery attributes dimension packet
Include following two-level index: vehicle basic information, battery physical characteristic and irrecoverable sexual factor；
The battery use environment characteristic dimension includes following two-level index: traveling road conditions, weather condition；
The battery charging and discharging characteristic dimension includes following two-level index: fast charge or trickle charge, charge strength, strength of discharge, charged
State SOC, charge and discharge habit；
The driving behavior dimension includes following two-level index: with Che Qiangdu, respectively loading use intensity；
The vehicle basic information includes following three-level index: Vehicle manufacturers, vehicle model；
The battery physical characteristic includes following three-level index: battery material, nominal voltage, nominal capacity, battery quality guarantee, theory
Mileage, the internal resistance of cell；
The irrecoverable sexual factor includes following three-level index: density of electrolyte change, battery pole plates sulfation, active matter
Matter falls off, the continuous growth of the phase transition of grid corrosion, electrode material, solid electrolyte interface film, self discharge, leakage, expansion,
Battery case deformation or damage；
The traveling road conditions include following three-level index: category of roads, jam level；
The weather condition includes following three-level index: temperature, road surface safety；
The fast charge or trickle charge include following three-level index: fast charge number, fast charge ratio；
The charge strength includes following three-level index: charging times, fully charged number, fully charged ratio, rate of charge,
Depth of charge；
The strength of discharge includes following three-level index: discharge time, over-discharge number, over-discharge frequency, discharge-rate,
Depth of discharge；
The state-of-charge SOC includes following three-level index: each SOC changes bring mileage number, charge volume mode, discharge capacity
Mode；
The charge and discharge habit includes following three-level index: deep fill puts number accounting deeply, shallowly fills and shallowly put number accounting, fill and shallowly put deeply
Number accounting shallowly fills and puts number accounting deeply；
Described with vehicle intensity includes following three-level index: starting number, anxious acceleration times, average daily mileage, total kilometrage；
Each load use intensity includes following three-level index: respectively loading opening times, power is opened in each load, each load is tired
Count opening time.
10. a kind of power battery health degree evaluation system characterized by comprising
Raw data databases；The raw data databases are for storing power electric as claimed in any one of claims 1 to 5
Initial data in the health degree evaluation method of pond；
The processor being connected with the raw data databases, the memory being connected with the processor；
The memory is at least used for perform claim and requires any one of 1-5 for storing computer program, the computer program
The power battery health degree evaluation method；
The processor is for calling and executing the computer program in the memory.
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