CN107037370A - Residual quantity calculation method of electric vehicle battery based on monitoring data - Google Patents
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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Abstract
The invention discloses a kind of residual quantity calculation method of electric vehicle battery based on monitoring data, comprise the following steps, step one：Vehicle travel process total state data acquisition is carried out with regard to batch at regular intervals；Step 2：BMS carries out processing according to the vehicle travel process total state data gathered in real time and estimates dump energy Q under this state of battery0；Step 3：Vehicle travel process total state data are uploaded to cloud database；Step 4：The vehicle travel process total state data that cloud database stores and classifies all；Step 5：Vehicle confirms real-time vehicle traveling process total state data；Step 6：According to the vehicle travel process total state data of confirmation, historical information is searched, the power battery information cluster of same type in cloud database is obtained；Step 7：Vehicle later stage traveling process data in informational cluster is read, is averaged after calculating dump energy according to historical data as dump energy Q1。
Description
Technical field
The present invention relates to battery of electric vehicle protection technique field, more particularly to a kind of electric automobile based on monitoring data are surplus
Remaining electricity computational methods.
Background technology
Existing quantity of the electric automobile in automobile industry gradually increases and the mode fast development of cumulative year after year.It is simultaneously electric
Electrical automobile still faces the development that the shortcomings of itself seriously restrict industry.The course anxiety of electric automobile is automobile user
One of outstanding problem faced.The dump energy for how accurately calculating electric automobile is as electric automobile, electrokinetic cell, BMS
（Battery management system）The common difficulty that producer faces.Electrokinetic cell mould is based on existing electrokinetic cell dump energy computational methods more
Type and electrokinetic cell data calculate the dump energy of electrokinetic cell.The method is due to based on the preferable use environment of electrokinetic cell
And there is certain deviation, especially electrokinetic cell and gradually increase using error after a period of time in practical application.Due to power electric
The foundation of pool model needs to carry out electrokinetic cell comprehensively test to verify correction model, due to test condition is limited can not be right
Battery status under the conditions of electrokinetic cell Life cycle, various use environments is tested.Cause electrokinetic cell model can not
Suitable for Life cycle, there is dump energy and calculates inaccurate phenomenon in use for some time in electrokinetic cell.
A kind of China Patent Publication No. CN 103064026B, publication date 2013-05-29, Vehicular battery of title of invention is remained
Remaining electric quantity monitoring method, belongs to battery detection field, and the present invention is entered to battery pack charge and discharge process using real-time current accumulative
Row control, and carry out real time temperature amendment；The error of dump energy is reduced, the degree of accuracy of dump energy is improved, can be obtained
Go out more accurate battery charge state, and provide the determination methods of cell degradation simultaneously so that operating personnel can be more
The accurate state of electrolytic cell directly perceived, brings great convenience to drivers.Due to the foundation needs pair of electrokinetic cell model
Electrokinetic cell carries out comprehensively test to verify correction model, because test condition is limited without the full Life Cycle of fado electrokinetic cell
Battery status under the conditions of phase, various use environments is tested.Cause electrokinetic cell model can not be applied to Life cycle,
There is dump energy and calculates inaccurate phenomenon in use for some time in electrokinetic cell.
The content of the invention
The purpose of the present invention be exist due to test condition is limited can not be to electrokinetic cell Life cycle, various use rings
Battery status under the conditions of border is tested.Cause electrokinetic cell model can not be applied to Life cycle, electrokinetic cell makes
With occurring the problem of dump energy calculates inaccurate after a period of time, there is provided a kind of electric automobile based on monitoring data is remaining
Electricity computational methods.
In order to solve the above problems, the present invention is achieved using following technical scheme：A kind of electricity based on monitoring data
Electrical automobile dump energy computational methods, comprise the following steps,
Step one：Vehicle travel process total state data acquisition is carried out with regard to batch at regular intervals；
Step 2：BMS carries out processing according to the vehicle travel process total state data gathered in real time and estimates that this state of battery is left
Remaining electricity Q0；
Step 3：Vehicle travel process total state data are uploaded to cloud database；
Step 4：The vehicle travel process total state data that cloud database stores and classifies all；
Step 5：Vehicle confirms real-time vehicle traveling process total state data；
Step 6：According to the vehicle travel process total state data of confirmation, historical information is searched, obtains identical in cloud database
The power battery information cluster of state；
Step 7：Vehicle later stage traveling process data in informational cluster is read, is averaged after calculating dump energy according to historical data
Value is used as dump energy Q1.It is and traditional the invention provides a kind of accurate computational methods for calculating electrokinetic cell dump energy
Computation model effectively recognizes the real-time status of electric automobile compared to the method using vehicle running data, is obtained by comparative analysis
The dump energy of vehicle under equal state.The reverse dump energy for drawing electrokinetic cell, to improve the accurate of dump energy calculating
Property proposes new direction.The method can original dump energy computing system parallel, original meter can be improved by calibration
Calculate the accuracy of model.The present invention is directed to this problem, proposes the dump energy computational methods based on monitor supervision platform data.The method
Application and slip condition database based on batch production power cell of vehicle, are calculated battery dump energy.Use all vehicles
The monitoring data of traveling process inversely calculates the result of calculation of single unit vehicle dump energy, is that the calculating of electrokinetic cell dump energy is carried
New thinking is supplied.Obtained dump energy is calculated compared to BMS, obtained electrokinetic cell dump energy Q is calculated by cloud data1For
Real vehicle monitoring data, is the true residual electric quantity of this state of same batch electrokinetic cell.And Q1Vehicle is based on to gather in real time
Data, Q1With Q0For operation independent result, the mutually computing such as correction can be carried out.As vehicle operation quantity increases monitoring number year by year
According to will more comprehensive Q1The error of value and true value can be gradually reduced.
Preferably, in the step one, gathering the vehicle travel process total state of all same model electrokinetic cells
Data, including electrokinetic cell state parameter, ambient parameter and mutual information data.
Preferably, the electrokinetic cell state parameter includes battery temperature, cell voltage, battery current, the internal resistance of cell
And battery charging condition, the ambient parameter include ambient time, environment temperature, ambient pressure and speed, it is described interaction letter
Ceasing data includes acceleration and power output.
Preferably, dump energy Q0With dump energy Q1Inform user and be uploaded to cloud database；Or, it is remaining
Electricity Q0By dump energy Q1User is informed after amendment and cloud database is uploaded to；Or, dump energy Q1By dump energy Q0
Amendment informs user and is uploaded to cloud database；Or, dump energy Q1Inform user and be uploaded to cloud database.
When the initial stage that cloud database is set up, dump energy Q1Quantity be less than predetermined threshold when, dump energy Q0And dump energy
Q1Inform user and be uploaded to cloud database；When the initial stage that cloud database is set up, dump energy Q1Quantity be more than
Predetermined threshold and less than predetermined value when, if present battery use time be less than setting use time, dump energy Q0
By dump energy Q1User is informed after amendment and cloud database is uploaded to；If present battery use time is more than or equal to setting
Use time, then dump energy Q1By dump energy Q0User is informed after amendment and cloud database is uploaded to.Dump energy
Q0By dump energy Q1Or dump energy Q1By dump energy Q0The method of amendment uses weighting algorithm, dump energy Q0It is used as master
Data weighting value is wanted to be much larger than dump energy Q1；Or dump energy Q1Dump energy Q is much larger than as key data weighted value0, two
Person's data investigation is that can reach corresponding purpose.
Preferably, the later stage traveling process data includes every kilometer of battery power consumption amount of traveling.This data can
To retrieve the dump energy Q of two different times by cloud database1Subtract each other and directly calculate, can also be examined by automobile BMS
The dump energy Q of two different times of rope0Subtract each other and directly calculate.
Preferably, cloud database is first to electrokinetic cell state parameter, ambient parameter and friendship in the step 4
Each class data carry out default segmentation in the big item data of mutual information data three, then carry out obfuscation classification to each data
Mode record all vehicle travel process total state data.
Preferably, in this residual quantity calculation method of electric vehicle battery based on monitoring data dump energy Q1Quantity
When less than predetermined value, cloud database receives dump energy Q0It is used as dump energy Q1Stored, as dump energy Q1's
When quantity is more than or equal to predetermined value, cloud database only receives dump energy Q1Data.
Preferably, as dump energy Q1Quantity be more than or equal to predetermined value when, cloud database is often received once
Dump energy Q1Data, then delete corresponding one as dump energy Q1The dump energy Q stored0Data.
Preferably, as dump energy Q1Quantity be more than setting value when, cloud database update to electrokinetic cell
Each class data, which are re-started, in state parameter, ambient parameter and the big item data of mutual information data three is once segmented.So
Set primarily to dump energy Q1Initial setting up is carried out when not enough.
The present invention substantial effect be：Application and status data of the method based on batch production power cell of vehicle
Storehouse, is calculated battery dump energy.The remaining electricity of single unit vehicle is inversely calculated with the monitoring data of all vehicle travel process
The result of calculation of amount, calculates for electrokinetic cell dump energy and provides new thinking.Obtained dump energy is calculated compared to BMS,
Obtained electrokinetic cell dump energy Q is calculated by cloud data1It is this state of same batch electrokinetic cell for real vehicle monitoring data
True residual electric quantity.
Brief description of the drawings
Fig. 1 is the method flow diagram of the present embodiment.
Embodiment
Below by embodiment, and with reference to accompanying drawing, technical scheme is described in further detail.
Embodiment 1：
A kind of residual quantity calculation method of electric vehicle battery based on monitoring data, comprises the following steps,
Step one：Vehicle travel process total state data acquisition is carried out with regard to batch at regular intervals；Gather all same models
The vehicle travel process total state data of electrokinetic cell, especially electrokinetic cell state parameter, ambient parameter, interactive information etc. number
According to, including battery system status data（Such as temperature, voltage, electric current, internal resistance, charging and discharging state）, environmental status data（When
Between, environment temperature, air pressure, speed etc.）, drive input parameter（Acceleration, power output etc.）.
Step 2：BMS carries out processing according to the vehicle travel process total state data gathered in real time and estimates this state of battery
Lower dump energy Q0；BMS according to the whole vehicle state parameter that gathers in real time carry out processing according to existing battery model estimation battery this
Residual electric quantity Q under state0, by all status data transfers of vehicle to vehicle wireless data transfer module.
Step 3：Vehicle travel process total state data are uploaded to cloud database；Wireless data transfer module will be whole
The status data collection of car collection is simultaneously uploaded to information of vehicles monitor supervision platform.All vehicle-states that vehicle monitor supervision platform is obtained are real
When the categorized processing of status information, be uploaded to cloud database.
Step 4：The vehicle travel process total state data that cloud database stores and classifies all；Cloud database pair
The data that vehicle monitor supervision platform is uploaded are stored.
Step 5：Vehicle confirms real-time vehicle traveling process total state data；Vehicle obtains to be calculated by data monitoring
Power cell of vehicle real time status information, including vehicle information of vehicles, electrokinetic cell identity information, real-time voltage, real-time current,
The information such as internal resistance, temperature.Status information input data processing platform is subjected to electrokinetic cell state confirmation.
Step 6：According to the vehicle travel process total state data of confirmation, historical information is searched, is obtained in cloud database
The power battery information cluster of equal state；Data processing platform (DPP) is looked into according to the power cell of vehicle status information to be calculated of confirmation
Look for its historical information.Obtain the power battery information cluster of equal state information in monitoring data.
Step 7：Vehicle later stage traveling process data in informational cluster is read, is taken after calculating dump energy according to historical data
Average value is used as dump energy Q1.The data after battery this state are handled in the informational cluster of acquisition, informational cluster is read
The middle vehicle later stage travels process data, and dump energy Q is calculated according to historical data1a、Q1b、Q1c..., dump energy is sieved
Averaged after choosing, be the dump energy Q that this car is calculated based on monitoring data1.And by Q1Vehicle to be calculated is fed back to, passes through instrument
Table is shown to driver.
Embodiment 2：
Substantially the same manner as Example 1, difference is, in the step one, gathers all same model electrokinetic cells
Vehicle travel process total state data, including electrokinetic cell state parameter, ambient parameter and mutual information data.
The electrokinetic cell state parameter includes battery temperature, cell voltage, battery current, the internal resistance of cell and battery charge and discharge
Electricity condition, the ambient parameter includes ambient time, environment temperature, ambient pressure and speed, and the mutual information data includes
Acceleration and power output.
When the initial stage that cloud database is set up, dump energy Q1Quantity be less than predetermined threshold when, dump energy Q0With
Dump energy Q1Inform user and be uploaded to cloud database；When the initial stage that cloud database is set up, dump energy Q1's
When quantity is more than predetermined threshold and is less than predetermined value, if present battery use time is less than the use time of setting, remain
Remaining electricity Q0By dump energy Q1User is informed after amendment and cloud database is uploaded to；If present battery use time is more than
Equal to the use time of setting, then dump energy Q1By dump energy Q0User is informed after amendment and cloud database is uploaded to.
Dump energy Q0By dump energy Q1Or dump energy Q1By dump energy Q0The method of amendment uses weighting algorithm, remaining electricity
Measure Q0Dump energy Q is much larger than as key data weighted value1；Or dump energy Q1As key data weighted value much larger than surplus
Remaining electricity Q0, both data investigations are that can reach corresponding purpose.The later stage traveling process data includes every kilometer of battery of traveling
Electric quantity consumption amount.This data can be retrieved the dump energy Q of two different times by cloud database1Subtract each other and directly calculate
Go out, the dump energy Q of two different times can also be retrieved by automobile BMS0Subtract each other and directly calculate.
The dump energy Q in this residual quantity calculation method of electric vehicle battery based on monitoring data1Quantity be less than it is predetermined
When value, cloud database receives dump energy Q0It is used as dump energy Q1Stored, as dump energy Q1Quantity be more than
When equal to predetermined value, cloud database only receives dump energy Q1Data.As dump energy Q1Quantity be more than or equal to it is predetermined
When value, cloud database often receives a dump energy Q1Data, then delete corresponding one as dump energy Q1Carry out
The dump energy Q of storage0Data.As dump energy Q1Quantity be more than setting value when, cloud database update to power electric
Each class data, which are re-started, in pond state parameter, ambient parameter and the big item data of mutual information data three is once segmented.This
Sample is set primarily to dump energy Q1Initial setting up is carried out when not enough.
Cloud database is first to electrokinetic cell state parameter, ambient parameter and mutual information data in the step 4
Each class data carry out default segmentation in three big item datas, and then the mode that each data carries out obfuscation classification is recorded
All vehicle travel process total state data.As dump energy Q1Quantity be more than setting value when, cloud database is more
One is newly re-started to each class data in electrokinetic cell state parameter, ambient parameter and the big item data of mutual information data three
Secondary segmentation.
To each data carry out obfuscation classification mainly by battery temperature, cell voltage, battery current, the internal resistance of cell and
Battery charging condition, ambient time, environment temperature, ambient pressure and speed, acceleration and power output so multinomial ginseng
Number and option, state, particularly have many numerical value to merge, be merged into relatively small number of several parameters and option,
State, such as battery using state, vehicle-state, Current Temperatures, verification is cell voltage parameter,
Then obfuscation calculating is carried out to vehicle travel process total state data, changed according to corresponding data, such as it is whole
Be combined into that battery status is good, in accelerator, temperature it is high, then be read out in corresponding several status bars, then recheck battery
Voltage parameter is that can obtain corresponding historical data： Q1a、Q1b、Q1c..., averaged after being screened to dump energy, be
The dump energy Q that this car is calculated based on monitoring data1.And by Q1Vehicle to be calculated is fed back to, driver is shown to by instrument.
Application and slip condition database of the method based on batch production power cell of vehicle, are counted to battery dump energy
Calculate.The result of calculation of single unit vehicle dump energy is inversely calculated with the monitoring data of all vehicle travel process, is electrokinetic cell
Dump energy, which is calculated, provides new thinking.Obtained dump energy is calculated compared to BMS, obtained power electric is calculated by cloud data
Pond dump energy Q1It is the true residual electric quantity of this state of same batch electrokinetic cell for real vehicle monitoring data.
Embodiment described above is a kind of preferably scheme of the present invention, not makees any formal to the present invention
Limitation, also has other variants and remodeling on the premise of without departing from the technical scheme described in claim.
Claims (9)
1. a kind of residual quantity calculation method of electric vehicle battery based on monitoring data, it is characterised in that comprise the following steps,
Step one：Vehicle travel process total state data acquisition is carried out with regard to batch at regular intervals；
Step 2：BMS carries out processing according to the vehicle travel process total state data gathered in real time and estimates that this state of battery is left
Remaining electricity Q0；
Step 3：Vehicle travel process total state data are uploaded to cloud database；
Step 4：The vehicle travel process total state data that cloud database stores and classifies all；
Step 5：Vehicle confirms real-time vehicle traveling process total state data；
Step 6：According to the vehicle travel process total state data of confirmation, historical information is searched, obtains identical in cloud database
The power battery information cluster of state；
Step 7：Vehicle later stage traveling process data in informational cluster is read, is averaged after calculating dump energy according to historical data
Value is used as dump energy Q1。
2. the residual quantity calculation method of electric vehicle battery according to claim 1 based on monitoring data, it is characterised in that
In the step one, the vehicle travel process total state data of all same model electrokinetic cells, including electrokinetic cell shape are gathered
State parameter, ambient parameter and mutual information data.
3. the residual quantity calculation method of electric vehicle battery according to claim 2 based on monitoring data, it is characterised in that institute
Stating electrokinetic cell state parameter includes battery temperature, cell voltage, battery current, the internal resistance of cell and battery charging condition, institute
Stating ambient parameter includes ambient time, environment temperature, ambient pressure and speed, and the mutual information data includes acceleration and defeated
Go out power.
4. the residual quantity calculation method of electric vehicle battery according to claim 1 based on monitoring data, it is characterised in that surplus
Remaining electricity Q0With dump energy Q1Inform user and be uploaded to cloud database；Or, dump energy Q0By dump energy Q1Repair
User is just being informed afterwards and is uploaded to cloud database；Or, dump energy Q1By dump energy Q0Amendment inform user and on
Reach cloud database, or, dump energy Q1Inform user and be uploaded to cloud database.
5. the residual quantity calculation method of electric vehicle battery according to claim 1 based on monitoring data, it is characterised in that institute
Stating later stage traveling process data includes every kilometer of battery power consumption amount of traveling.
6. the residual quantity calculation method of electric vehicle battery according to claim 1 based on monitoring data, it is characterised in that
Cloud database is first to electrokinetic cell state parameter, ambient parameter and the big item data of mutual information data three in the step 4
In each class data carry out default segmentation, then to each data carry out obfuscation classification mode record all vehicles
Traveling process total state data.
7. the residual quantity calculation method of electric vehicle battery according to claim 1 based on monitoring data, it is characterised in that
Dump energy Q in this residual quantity calculation method of electric vehicle battery based on monitoring data1Quantity be less than predetermined value when, cloud
Client database receives dump energy Q0It is used as dump energy Q1Stored, as dump energy Q1Quantity be more than or equal to predetermined value
When, cloud database only receives dump energy Q1Data.
8. the residual quantity calculation method of electric vehicle battery according to claim 7 based on monitoring data, it is characterised in that when
Dump energy Q1Quantity be more than or equal to predetermined value when, cloud database often receives a dump energy Q1Data, then delete
Corresponding one is used as dump energy Q1The dump energy Q stored0Data.
9. the residual quantity calculation method of electric vehicle battery according to claim 8 based on monitoring data, it is characterised in that when
Dump energy Q1Quantity be more than setting value when, cloud database update to electrokinetic cell state parameter, ambient parameter and
Each class data, which are re-started, in the big item data of mutual information data three is once segmented.
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