CN110324382A - Electric car and its data processing system and data processing method - Google Patents
Electric car and its data processing system and data processing method Download PDFInfo
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- CN110324382A CN110324382A CN201810287040.7A CN201810287040A CN110324382A CN 110324382 A CN110324382 A CN 110324382A CN 201810287040 A CN201810287040 A CN 201810287040A CN 110324382 A CN110324382 A CN 110324382A
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- 238000012545 processing Methods 0.000 title claims abstract description 34
- 238000003672 processing method Methods 0.000 title claims abstract description 19
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- 238000004891 communication Methods 0.000 description 11
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- 238000012544 monitoring process Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
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Classifications
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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
-
- 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]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/40—Bus networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/40—Bus networks
- H04L12/40006—Architecture of a communication node
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/40—Bus networks
- H04L2012/40208—Bus networks characterized by the use of a particular bus standard
- H04L2012/40215—Controller Area Network CAN
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/40—Bus networks
- H04L2012/40267—Bus for use in transportation systems
- H04L2012/40273—Bus for use in transportation systems the transportation system being a vehicle
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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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a kind of electric car and its data processing systems and data processing method, the data processing system includes Cloud Server and the battery management system BMS that is arranged on electric car, wherein, BMS, for acquiring the state parameter of multiple single batteries, and level one data is generated according to the state parameter of multiple single batteries, and level one data is sent to Cloud Server, and the secondary data of Cloud Server feedback is received, and the reference curve prestored in BMS is updated according to secondary data；Cloud Server generates secondary data for obtaining the vehicle identification code VIN and level one data of electric car, and according to VIN and level one data.Constantly the reference curve prestored in BMS can be updated as a result, every status information of power battery can be accurately estimated by updated reference curve, convenient for effectively being managed power battery, be conducive to the service life for improving power battery.
Description
Technical field
The present invention relates to electric vehicle engineering field, in particular to a kind of data processing system of electric car, Yi Zhong electricity
The data processing method of electrical automobile and a kind of electric car.
Background technique
BMS (Battery Management System, battery management system) is used as battery management unit, to electronic vapour
Vehicle has irreplaceable role in the normal operation of Life cycle.In the related technology, the major function of traditional BMS includes electricity
The functions such as pond information collection, battery parameter estimation, balanced management, heat management, protection, diagnosis.BMS is electric by collected battery
The data such as pressure, electric current, temperature, electricity, SOC (State of Charge, state-of-charge), pass through CAN (Controller Area
Network, controller local area network) Power Environment Monitoring Network is transferred to car-mounted terminal, server is uploaded to by car-mounted terminal.
It should be strongly noted that the data that BMS is transferred to car-mounted terminal are all data after being pre-processed by BMS, and
Car-mounted terminal is only received and dispatched and is transmitted to the data that BMS is sent, and is not done secondary treatment, is not also returned to BMS for updating BMS
The reference curve prestored, and the mode of the data of BMS and car-mounted terminal transmission relies on electric car CAN Power Environment Monitoring Network.
However, being had the following disadvantages: in above-mentioned technology
(1) it is limited to the processing speed and data space of BMS and car-mounted terminal, BMS can not acquire battery pack whole
The information of voltage of monomer is uploaded to cloud server, can not also handle information and temperature, degree of aging, electric current of all monomers etc.
Variation relation；
(2) it is limited to electric car CAN Power Environment Monitoring Network load factor, the data that BMS is uploaded can not include all batteries monomer
Whole history charge and discharge data；
(3) it is limited to technology and cost, the data that BMS is uploaded do not do secondary treatment compared with, without downloading passback yet
To BMS, for updating the reference curve in BMS algorithm.
Summary of the invention
The present invention is directed to solve one of the technical problem in above-mentioned technology at least to a certain extent.
For this purpose, the first purpose of this invention is to propose a kind of data processing system of electric car, it can be constantly to BMS
In the reference curve that prestores be updated, believed by every state that updated reference curve can accurately estimate power battery
Breath is conducive to the service life for improving power battery convenient for effectively being managed power battery.
Second object of the present invention is to propose a kind of data processing method of electric car.
Third object of the present invention is to propose a kind of electric car.
In order to achieve the above objectives, first aspect present invention embodiment proposes a kind of data processing system of electric car,
Including Cloud Server and the battery management system BMS being arranged on the electric car, wherein the BMS is more for acquiring
The state parameter of a single battery, and level one data is generated according to the state parameter of the multiple single battery, and will be described
Level one data is sent to the Cloud Server, and receives the secondary data of the Cloud Server feedback, and according to the second level
Data are updated the reference curve prestored in the BMS；The Cloud Server, for obtaining the vehicle of the electric car
Identification code VIN (Vehicle Identification Number, ID code of vehicle) and the level one data, and according to institute
It states VIN and the level one data generates the secondary data.
The data processing system of electric car according to an embodiment of the present invention acquires the shape of multiple single batteries by BMS
State parameter, and level one data is generated according to the state parameter of multiple single batteries, and level one data is sent to Cloud Server,
And then secondary data is generated according to the vehicle identification code VIN and level one data of electric car by Cloud Server, and connect by BMS
The secondary data of Cloud Server feedback is received, and the reference curve prestored in BMS is updated according to secondary data.As a result, may be used
Constantly the reference curve prestored in BMS is updated, power battery can accurately be estimated by updated reference curve
Every status information is conducive to the service life for improving power battery convenient for effectively being managed power battery.
In addition, the data processing system of the electric car proposed according to that above embodiment of the present invention can also have it is following attached
The technical characteristic added:
According to one embodiment of present invention, the BMS includes: multiple battery collector BIC (Battery
Information Collector, battery information collector), the multiple BIC is electric with multiple monomers in power battery respectively
Pond is corresponding, for acquiring the state parameter of the multiple single battery；Battery control unit BCU (Battery Control
Unit, battery control unit), the BCU is connected with the multiple BIC, and is communicated with the Cloud Server, the BCU
For generating the level one data according to the state parameter of the power battery, and receive two series of the Cloud Server feedback
According to, and according to the secondary data reference curve prestored in the BMS is updated.
According to one embodiment of present invention, the BCU includes: the first controller, for according to the power battery
State parameter carries out full-vehicle control；Second controller, for being communicated with the Cloud Server, and according to the power battery
State parameter generate the level one data, and receive the secondary data of the Cloud Server feedback, and according to the second level
Data are updated the reference curve prestored in the BMS.
According to one embodiment of present invention, the data processing system of above-mentioned electric car further include: charging pile, for pair
The electric car charges, and when judging that the electric car is in constant-current charging phase, by charging CAN network or
Blueteeth network is communicated to obtain the level one data with the BMS, and the level one data is sent to the cloud service
Device, and the secondary data of the Cloud Server feedback is received, and institute is fed back to by the charging CAN network or blueteeth network
State BMS.
According to one embodiment of present invention, the data processing system of above-mentioned electric car further include: car-mounted terminal is used for
The level one data is sent to the Cloud Server, and receives the secondary data of the Cloud Server feedback, and feed back to
The BMS.
According to one embodiment of present invention, the secondary data includes the corresponding battery reference of the multiple single battery
Curve.
In order to achieve the above objectives, second aspect of the present invention embodiment proposes a kind of data processing method of electric car,
Wherein, it is provided with battery management system BMS on the electric car, the described method comprises the following steps: the BMS acquisition
The state parameter of multiple single batteries, and level one data is generated according to the state parameter of the multiple single battery, and by institute
It states level one data and is sent to Cloud Server；The Cloud Server obtains the vehicle identification code VIN of the electric car, and according to institute
It states VIN and the level one data generates the secondary data；The BMS receives the secondary data of the Cloud Server feedback, and
The reference curve prestored in the BMS is updated according to the secondary data.
The data processing method of electric car according to an embodiment of the present invention, first BMS acquire the shape of multiple single batteries
State parameter, and level one data is generated according to the state parameter of multiple single batteries, and level one data is sent to Cloud Server,
Then Cloud Server obtains the vehicle identification code VIN of electric car, and generates secondary data according to VIN and level one data, finally
BMS receives the secondary data of Cloud Server feedback, and is updated according to secondary data to the reference curve prestored in BMS.By
This, can constantly be updated the reference curve prestored in BMS, can accurately estimate power electric by updated reference curve
Every status information in pond is conducive to the service life for improving power battery convenient for effectively being managed power battery.
In addition, the data processing method of the electric car proposed according to that above embodiment of the present invention can also have it is following attached
The technical characteristic added:
According to one embodiment of present invention, the data processing method of above-mentioned electric car further include: charging pile is to described
Electric car charges, and when judging that the electric car is in constant-current charging phase, passes through charging CAN network or bluetooth
Network is communicated to obtain the level one data with the BMS, and the level one data is sent to the Cloud Server, with
And the secondary data of Cloud Server feedback is received, and described in feeding back to by the charging CAN network or blueteeth network
BMS。
According to one embodiment of present invention, the secondary data includes the corresponding battery reference of the multiple single battery
Curve.
In order to achieve the above objectives, third aspect present invention embodiment proposes a kind of electric car, in the electric car
On be provided with battery management system BMS, wherein the BMS is used for: acquire the state parameter of multiple single batteries, and according to
The state parameter of the multiple single battery generates level one data, and the level one data is sent to Cloud Server, so that
The Cloud Server obtains the vehicle identification code VIN of the electric car, and generates institute according to the VIN and the level one data
State secondary data；Receive the secondary data of Cloud Server feedback, and according to the secondary data to prestoring in the BMS
Reference curve is updated.
Electric car according to an embodiment of the present invention acquires the state parameter of multiple single batteries by BMS, and according to more
The state parameter of a single battery generates level one data, and level one data is sent to Cloud Server, so that Cloud Server obtains
The vehicle identification code VIN of electric car is taken, and secondary data is generated according to VIN and level one data, it is anti-then to receive Cloud Server
The secondary data of feedback, and the reference curve prestored in BMS is updated according to secondary data.It as a result, can be constantly to pre- in BMS
The reference curve deposited is updated, and every status information of power battery can be accurately estimated by updated reference curve,
Convenient for effectively being managed power battery, be conducive to the service life for improving power battery.
In addition, the electric car proposed according to that above embodiment of the present invention can also have the following additional technical features:
According to one embodiment of present invention, the BMS includes: multiple battery collector BIC, the multiple BIC difference
It is corresponding with multiple single batteries in power battery, for acquiring the state parameter of the multiple single battery；Battery control
Unit B CU, the BCU is connected with the multiple BIC, and is communicated with the Cloud Server, and the BCU is used for according to
The state parameter of power battery generates the level one data, and receives the secondary data of the Cloud Server feedback, and according to
The secondary data is updated the reference curve prestored in the BMS.
According to one embodiment of present invention, the BCU includes: the first controller, for according to the power battery
State parameter carries out full-vehicle control；Second controller, for being communicated with the Cloud Server, and according to the power battery
State parameter generate the level one data, and receive the secondary data of the Cloud Server feedback, and according to the second level
Data are updated the reference curve prestored in the BMS.
According to one embodiment of present invention, above-mentioned electric car further include: car-mounted terminal is used for the level one data
It is sent to the Cloud Server, and receives the secondary data of the Cloud Server feedback, and feed back to the BMS.
According to one embodiment of present invention, the secondary data includes the corresponding battery reference of the multiple single battery
Curve.
The advantages of additional aspect of the invention, will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Fig. 1 is the structural block diagram of the data processing system of electric car according to an embodiment of the invention；
Fig. 2 is the structural block diagram of the data processing system of electric car accord to a specific embodiment of that present invention；
Fig. 3 is the structural block diagram of the data processing system of the electric car of another specific embodiment according to the present invention；
Fig. 4 is the structural block diagram of the data processing system of electric car in accordance with another embodiment of the present invention；
Fig. 5 is the structural block diagram of the data processing system of the electric car of another embodiment according to the present invention；
Fig. 6 is the flow chart of the data processing method of electric car according to an embodiment of the invention；
Fig. 7 is the structural block diagram of electric car according to an embodiment of the invention；And
Fig. 8 is the structural block diagram of electric car in accordance with another embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
With reference to the accompanying drawing come describe the embodiment of the present invention electric car data processing system, the data of electric car
Processing method and electric car.
Fig. 1 is the structural block diagram of the data processing system of electric car according to an embodiment of the invention.
As shown in Figure 1, the data processing system of the electric car of the embodiment of the present invention includes: that Cloud Server 10 and setting exist
Battery management system BMS20 on electric car.
Wherein, BMS20 is used to acquire the state parameter of multiple single batteries, and according to the state parameter of multiple single batteries
Level one data is generated, and level one data is sent to Cloud Server 10, and receives the secondary data of the feedback of Cloud Server 10,
And the reference curve (for example, battery reference curve) prestored in BMS20 is updated according to secondary data, wherein prestore
Reference curve can be demarcated according to the actual situation.Cloud Server 10 is used to obtain the vehicle identification code VIN and one of electric car
Grade data, and secondary data is generated according to VIN and level one data.It should be noted that multiple monomers described in the embodiment
Battery can be multiple single batteries of power battery in electric car, and Primary parameter described in the embodiment can be for through BMS
Algorithm intermediate parameters that treated, and may include the vehicle of electric car where above-mentioned multiple single batteries in the Primary parameter
Identification code VIN.
In an embodiment of the present invention, the state parameter of multiple single batteries may include that the voltage of single battery, battery are equal
Weigh situation, the temperature of single battery, the electric current of single battery, the electricity of single battery, SOC of single battery etc..
In one embodiment of the invention, secondary data may include the corresponding battery reference curve of multiple single batteries,
For example, battery reference curve may include the charge and discharge U-I reference curve, OCV-Q reference curve, Q-SOH of power battery with reference to bent
Line, R-SOH-I-T reference curve and history self-discharge rate reference curve etc..
Specifically, BMS20 can acquire the state parameter of above-mentioned multiple single batteries every preset time t, such as in t
The state parameter for collecting multiple single batteries (for the first time) is carved, BMS20 then can be raw according to the state parameter of multiple single battery
At level one data, wherein the level one data may include all single battery V-Q curve single orders acquired using BMS charging algorithm
The peak position of derivative, peak height, the battery model RC network parameter acquired using BMS electric discharge algorithm, and whole level one datas and temperature
The functional relation of degree, electric current, SOC and circulating battery number.Then BMS20 can be by the level one data (that is, according to the more of t moment
The level one data that the state parameter of a single battery generates) pass through 4G (the 4th Generation mobile being furnished with
Communication technolog, fourth generation mobile communication technology) transceiver module or other wireless devices be sent to cloud service
Device 10.
Cloud Server 10 receives the level one data, and the level one data is analyzed and saved to obtain electric car
Then vehicle identification code VIN can be searched from the database of Cloud Server 10 and the vehicles identifications according to vehicle identification code VIN
Historical data, the preset algorithm etc. of the corresponding electric car of code VIN, and with the historical data and/or preset algorithm to the level-one
Data carry out secondary analysis, to generate secondary data (for example, the corresponding battery reference curve of above-mentioned multiple single batteries), finally
The secondary data of generation is fed back to BMS20 by Cloud Server 10, while Cloud Server 10 can also save the secondary data to number
According in library.BMS20 receives the secondary data that Cloud Server 10 is fed back, and the reference according to the secondary data to prestoring in BMS20
Curve is updated (for example, the reference curve prestored is replaced with to the reference curve in the secondary data received), using as
The reference curve of battery predictive management.
It should be noted that the historical data of electric car described in the embodiment may include the history of power battery
The history level one data and secondary data of state parameter (for example, state parameter of above-mentioned multiple single batteries) and power battery.
Wherein, the historic state parameter of power battery can be BMS20 and be sent to cloud server 10.
Further, BMS20 collects the state parameter of above-mentioned multiple single batteries at the 2*t moment, and more according to this
The state parameter of a single battery generates level one data, and then by the level one data (that is, according to multiple monomers at 2*t moment electricity
The level one data that the state parameter in pond generates) Cloud Server is sent to by the 4G transceiver module being furnished with or other wireless devices
10.Cloud Server 10 receives the level one data, and the level one data is analyzed and saved to obtain the vehicle of electric car
Then identification code VIN can be searched from the database of Cloud Server 10 and the vehicle identification code according to vehicle identification code VIN
Historical data, the preset algorithm etc. of the corresponding electric car of VIN, and with the historical data and/or preset algorithm to a series
According to secondary analysis is carried out, to generate secondary data, the secondary data of generation is fed back to BMS20 by last Cloud Server 10, simultaneously
Cloud Server 10 can also save the secondary data into database.BMS20 receives the secondary data that Cloud Server 10 is fed back, and
The reference curve prestored in BMS20 is updated according to the secondary data, using the reference curve as battery predictive management.
In this way, going deep into power battery charge and discharge cycles, BMS20 is constantly fitted estimation and obtains new level one data simultaneously
It is uploaded to Cloud Server 10, Cloud Server 10 is continuously generated new secondary data and passback (feedback) extremely according to historical data
BMS10, continuous loop iteration, thereby, it is possible to make entire battery system prediction result closer to the time of day of power battery,
Be conducive to effectively manage power battery, improve the service life of power battery.
According to one embodiment of present invention, as shown in Fig. 2, BMS may include multiple battery collector BIC21 and battery control
Unit B CU22 processed.
Wherein, multiple BIC21 are corresponding with multiple single batteries in power battery respectively, for acquiring multiple monomer electricity
The state parameter in pond.Battery control unit BCU22 is connected with multiple BIC21, and is communicated with Cloud Server 10, and BCU22 is used
According to the state parameter of power battery generate level one data, and receive Cloud Server 10 feedback secondary data, and according to
Secondary data is updated the reference curve prestored in BMS20.
Optionally, each BIC21 can will be counted by CAN, In-vehicle networking FlexRay or Daisy Chain (daisy chain)
According to being sent to BCU22.
In this embodiment, BCU22 and all BIC21 can be assemblied in electronic vapour together with all battery cell pack
Inside the cabin of vehicle.
Specifically, BIC21 can be used for battery cell voltage sampling and monitoring, battery balanced, battery pack temperature sampling and prison
Control, BCU22 can be used for bus current detection, system insulation monitoring, battery system up/down fulgurite reason, battery system heat management, electricity
Pond state-of-charge SOC (State of Charge) estimation, cell health state SOH (State of Health) estimation, battery
Power rating SOP (State of Power) estimation, fault diagnosis, vehicle communicate and in sequence of threads update, data record etc..
Further, as shown in figure 3, BCU22 includes the first controller 22a and second controller 22b.Wherein, the first control
Device 22a processed is used to carry out full-vehicle control according to the state parameter of power battery.Second controller 22b be used for Cloud Server 10 into
Row communication, and level one data is generated according to the state parameter of power battery, and receive the secondary data of the feedback of Cloud Server 10, with
And the reference curve prestored in BMS is updated according to secondary data.
It should be noted that in this embodiment, BCU22 has powerful data space and high-speed data processing speed
Double MCU (Micro Control Unit, micro-control unit) (that is, first controller 22a and second controller 22b) of degree, tool
There is off-line data processing capacity, and data can be carried out by wireless communication mode and Cloud Server 10 by wireless communication module
Interaction.And then cloud computing is carried out by battery status information and state parameter of the Cloud Server 10 to power battery whole life cycle
With big data analysis, it can be achieved that current state management and future state to power battery are predicted.
The wireless communication of BMS20 and Cloud Server 10 breaks down in order to prevent, causes BMS20 and Cloud Server 10 can not
The problem of being communicated.According to one embodiment of present invention, as shown in figure 4, the data processing system of above-mentioned electric car also
Including charging pile 30, charging pile 30 is judging that electric car is in constant-current charging phase for charging to electric car
When, it is communicated by charging CAN network with BMS20 to obtain level one data, and level one data is sent to Cloud Server 10,
And the secondary data that Cloud Server 10 is fed back is received, and BMS is fed back to by the CAN network that charges.Wherein it should be noted that
When electric car is currently at constant-current charging phase, the variation of the state parameter of BMS20 multiple single batteries collected compared with
Smoothly, i.e., its change rate is more stable, and thus, it is possible to guarantee the accuracy of level one data.
Specifically, during user charges to electric car using charging pile 30, charging pile 30 can be sentenced in real time
Power off whether electrical automobile is currently in constant-current charging phase, if it is, can be communicated by charging CAN network with BMS, with
Acquisition instruction is sent to BMS20.BMS20 can acquire the state of above-mentioned multiple single batteries after receiving the acquisition instruction
Parameter, and level one data is generated according to the state parameter of multiple single battery, and the level one data is back to charging pile
30。
One series can be sent to cloud by the 4G transceiver module being furnished with after receiving the level one data by charging pile 30
Server 10.Cloud Server 10 receives the level one data, and the level one data is analyzed and saved to obtain electric car
Vehicle identification code VIN, then can be searched from the database of Cloud Server 10 according to vehicle identification code VIN with the vehicle mark
Know historical data, the preset algorithm etc. of the corresponding electric car of code VIN, and with the historical data and/or preset algorithm to this one
Grade data carry out secondary analysis, and to generate secondary data, last Cloud Server 10 is fed back to the secondary data by 4G network
Charging pile 30.Charging pile 30 is after receiving the secondary data, and by charging, CAN network feeds back to BMS20.BMS20 reception is filled
The secondary data that electric stake 30 is fed back, and the reference curve prestored in BMS20 being updated according to the secondary data, using as electricity
The reference curve of pond prediction management.
Further, as shown in figure 4, charging pile 30 can also be used in when judging that electric car is in constant-current charging phase,
It is communicated by blueteeth network with BMS20 to obtain level one data, and level one data is sent to Cloud Server 10, Yi Jijie
The secondary data that Cloud Server 10 is fed back is received, and BMS20 is fed back to by blueteeth network.Specifically, production firm may respectively be
Above-mentioned BMS20 and charging pile 30 are equipped with bluetooth transceiver module, and charging pile 30 is judging that electric car is in constant-current charging phase
When, the bluetooth transceiver module that can be equipped with by the bluetooth transceiver module and BMS20 itself being equipped with realizes BMS20 and charging pile 30
Between communication to obtain above-mentioned level one data, then the 4G transceiver module that the level one data is furnished with by itself is sent to
Cloud Server 10, Cloud Server 10 receives the level one data, and the level one data is analyzed and saved to obtain electronic vapour
Then the vehicle identification code VIN of vehicle can be searched from the database of Cloud Server 10 and the vehicle according to vehicle identification code VIN
Historical data, the preset algorithm etc. of the corresponding electric car of identification code VIN, and with the historical data and/or preset algorithm to this
Level one data carries out secondary analysis, and to generate secondary data, last Cloud Server 10 is fed back the secondary data by 4G network
To charging pile 30.Charging pile 30 feeds back to BMS20 after receiving the secondary data, by establishing bluetooth connection with BMS20.
BMS20 receives the secondary data that charging pile 30 is fed back, and is carried out more according to the secondary data to the reference curve prestored in BMS20
Newly, using the reference curve as battery predictive management.
In other embodiments of the invention, the data processing system of above-mentioned electric car can not be equipped with wireless to BMS20
Communication module (for example, 4G transceiver module, bluetooth transceiver module), and only set wireless communication module (for example, 4G transceiver module)
It sets on charging pile 30.Data transmission opportunity is only limitted to carry out constant-current charge rank to electric vehicle using charging pile 30 as a result,
Section is also greatly saved data operation load and network transmission is negative while improving battery pack state parameter computational accuracy
Lotus, and by wireless communication module configuration in charging pile 30 rather than BMS20, do not need to occupy any space of vehicle, save
Vehicle is laid out the development cost that need to be consumed and verifying cost again.
The wireless communication of charging pile 30 and Cloud Server 10 or BMS20 and Cloud Server 10 breaks down in order to prevent, or
Person causes BMS20 that can not receive the feedback of Cloud Server 10 when BMS20 monitors that electric car is not connect with charging pile 30
Secondary data and the problems such as can not be updated to the reference curve prestored in BMS20.According to one embodiment of present invention,
As shown in figure 5, the data processing system of above-mentioned electric car may also include car-mounted terminal 40, for level one data to be sent to cloud
Server 10, and the secondary data that Cloud Server 10 is fed back is received, and feed back to BMS.
For example, when the wireless communication of charging pile 30 and Cloud Server 10 or BMS20 and Cloud Server 10 breaks down, it can
It is communicated with BMS20 by electric powered motor CAN network using car-mounted terminal 40 to obtain level one data, and by a series
According to being sent to Cloud Server 10, and the secondary data that Cloud Server 10 is fed back is received, and pass through electric powered motor CAN network
BMS20 is fed back to, so that MS20 receives the secondary data that car-mounted terminal 40 is fed back, and according to the secondary data to pre- in BMS20
The reference curve deposited is updated, using the reference curve as battery predictive management.
For another example BMS20 can real-time monitoring electricity during user charges to electric car using charging pile 30
Electrical automobile and 30 connection status of charging pile can start vehicle-mounted when BMS20 monitors electric car and charging pile 30 disconnects
The 4G transceiver module that terminal 40 configures receives the second level that Cloud Server 10 is fed back by the 4G transceiver module that car-mounted terminal 40 configures
Data, and the secondary data is sent to BMS20 by electric powered motor CAN network.BMS20 receives car-mounted terminal 40 and feeds back
Secondary data, and the reference curve prestored in BMS20 is updated according to the secondary data, using as battery predictive management
Reference curve.
To sum up, the data processing system of electric car according to an embodiment of the present invention acquires multiple single batteries by BMS
State parameter, and according to the state parameter of multiple single batteries generate level one data, and by level one data be sent to cloud clothes
Business device, and then secondary data is generated according to the vehicle identification code VIN and level one data of electric car by Cloud Server, and pass through
BMS receives the secondary data of Cloud Server feedback, and is updated according to secondary data to the reference curve prestored in BMS.By
This, can constantly be updated the reference curve prestored in BMS, can accurately estimate power electric by updated reference curve
Every status information in pond is conducive to the service life for improving power battery convenient for effectively being managed power battery.
Fig. 6 is the flow chart of the data processing method of electric car according to an embodiment of the invention.Of the invention
In embodiment, battery management system BMS is provided on electric car.
As shown in fig. 6, the data processing method of the electric car of the embodiment of the present invention, comprising the following steps:
S1, BMS acquire the state parameter of multiple single batteries, and generate level-one according to the state parameter of multiple single batteries
Data, and level one data is sent to Cloud Server.
S2, Cloud Server obtains the vehicle identification code VIN of electric car, and generates two series according to VIN and level one data
According to.
S3, BMS receive the secondary data of Cloud Server feedback, and according to secondary data to the reference curve prestored in BMS
It is updated.
According to one embodiment of present invention, the data processing method of above-mentioned electric car further include: charging pile is to electronic
Automobile charges, and when judging that electric car is in constant-current charging phase, by charging CAN network or blueteeth network with
BMS is communicated to obtain level one data, and level one data is sent to Cloud Server, and receives the two of Cloud Server feedback
Grade data, and BMS is fed back to by charging CAN network or blueteeth network.
According to one embodiment of present invention, secondary data includes the corresponding battery reference curve of multiple single batteries.
It should be noted that other specific embodiments of the data processing method of the electric car of the embodiment of the present invention can
Referring to the specific embodiment of the data processing system of the electric car of above-described embodiment.
To sum up, the data processing method of electric car according to an embodiment of the present invention, first BMS acquire multiple single batteries
State parameter, and according to the state parameter of multiple single batteries generate level one data, and by level one data be sent to cloud clothes
Business device, then Cloud Server obtains the vehicle identification code VIN of electric car, and generates secondary data according to VIN and level one data,
Last BMS receives the secondary data of Cloud Server feedback, and is carried out more according to secondary data to the reference curve prestored in BMS
Newly.Constantly the reference curve prestored in BMS can be updated as a result, can accurately be estimated by updated reference curve
Every status information of power battery, convenient for effectively being managed power battery, be conducive to raising power battery uses the longevity
Life.
Fig. 7 is the structural block diagram of electric car according to an embodiment of the invention.
As shown in fig. 7, being provided with battery management system BMS20 on electric car 200, wherein BMS20 is for acquiring
The state parameter of multiple single batteries, and level one data is generated according to the state parameter of multiple single batteries, and by a series
According to Cloud Server 10 is sent to, so that Cloud Server 10 obtains the vehicle identification code VIN of electric car 200, and according to VIN and one
Grade data generate secondary data；The secondary data that Cloud Server 10 is fed back is received, and according to secondary data to the ginseng prestored in BMS
Curve is examined to be updated.
It according to one embodiment of present invention, include multiple battery collector BIC21 and battery control referring to Fig. 2, BMS20
Unit B CU22.
Wherein, multiple BIC21 are corresponding with multiple single batteries in power battery respectively, for acquiring multiple monomer electricity
The state parameter in pond.Battery control unit BCU22 is connected with multiple BIC21, and is communicated with Cloud Server 10, and BCU22 is used
According to the state parameter of power battery generate level one data, and receive Cloud Server 10 feedback secondary data, and according to
Secondary data is updated the reference curve prestored in BMS.
Further, referring to Fig. 3, BCU22 includes: the first controller 22a and second controller 22b.
Wherein, the first controller 22a is used to carry out full-vehicle control according to the state parameter of power battery.Second controller
22b generates level one data for being communicated with Cloud Server 10, and according to the state parameter of power battery, and receives cloud clothes
The secondary data for the feedback of device 10 of being engaged in, and the reference curve prestored in BMS20 is updated according to secondary data.
According to one embodiment of present invention, as shown in figure 8, above-mentioned electric car further includes car-mounted terminal 40, being used for will
Level one data is sent to Cloud Server 10, and receives the secondary data that Cloud Server 10 is fed back, and feed back to BMS20.
According to one embodiment of present invention, secondary data includes the corresponding battery reference curve of multiple single batteries.
It should be noted that other specific embodiments of the electric car of the embodiment of the present invention can refer to above-described embodiment
Electric car data processing system specific embodiment.
To sum up, electric car according to an embodiment of the present invention acquires the state parameter of multiple single batteries by BMS, and
Level one data is generated according to the state parameter of multiple single batteries, and level one data is sent to Cloud Server, so that cloud takes
Business device obtains the vehicle identification code VIN of electric car, and generates secondary data according to VIN and level one data, then receives cloud clothes
The secondary data for device feedback of being engaged in, and the reference curve prestored in BMS is updated according to secondary data.It as a result, can be constantly right
The reference curve prestored in BMS is updated, and every shape of power battery can be accurately estimated by updated reference curve
State information is conducive to the service life for improving power battery convenient for effectively being managed power battery.
In addition, electric car according to an embodiment of the present invention other constitute and its act on to those skilled in the art and
Speech be it is known, for reduce redundancy, be not repeated herein.
In the description of the present invention, it is to be understood that, term " center ", " longitudinal direction ", " transverse direction ", " length ", " width ",
" thickness ", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside", " up time
The orientation or positional relationship of the instructions such as needle ", " counterclockwise ", " axial direction ", " radial direction ", " circumferential direction " be orientation based on the figure or
Positional relationship is merely for convenience of description of the present invention and simplification of the description, rather than the device or element of indication or suggestion meaning must
There must be specific orientation, be constructed and operated in a specific orientation, therefore be not considered as limiting the invention.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include one or more of the features.In the description of the present invention, the meaning of " plurality " is two or more,
Unless otherwise specifically defined.
In the present invention unless specifically defined or limited otherwise, term " installation ", " connected ", " connection ", " fixation " etc.
Term shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integral；It can be mechanical connect
It connects, is also possible to be electrically connected；It can be directly connected, can also can be in two elements indirectly connected through an intermediary
The interaction relationship of the connection in portion or two elements.It for the ordinary skill in the art, can be according to specific feelings
Condition understands the concrete meaning of above-mentioned term in the present invention.
In the present invention unless specifically defined or limited otherwise, fisrt feature in the second feature " on " or " down " can be with
It is that the first and second features directly contact or the first and second features pass through intermediary mediate contact.Moreover, fisrt feature exists
Second feature " on ", " top " and " above " but fisrt feature be directly above or diagonally above the second feature, or be merely representative of
First feature horizontal height is higher than second feature.Fisrt feature can be under the second feature " below ", " below " and " below "
One feature is directly under or diagonally below the second feature, or is merely representative of first feature horizontal height less than second feature.
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 included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (14)
1. a kind of data processing system of electric car, which is characterized in that including Cloud Server and be arranged in the electric car
On battery management system BMS, wherein
The BMS, for acquiring the state parameter of multiple single batteries, and it is raw according to the state parameter of the multiple single battery
It is sent to the Cloud Server at level one data, and by the level one data, and receives the two of the Cloud Server feedback
Grade data, and the reference curve prestored in the BMS is updated according to the secondary data；
The Cloud Server, for obtaining the vehicle identification code VIN and the level one data of the electric car, and according to described
VIN and the level one data generate the secondary data.
2. the data processing system of electric car as described in claim 1, which is characterized in that the BMS includes:
Multiple battery collector BIC, the multiple BIC is corresponding with multiple single batteries in power battery respectively, for adopting
Collect the state parameter of the multiple single battery；
Battery control unit BCU, the BCU is connected with the multiple BIC, and is communicated with the Cloud Server, the BCU
For generating the level one data according to the state parameter of the power battery, and receive two series of the Cloud Server feedback
According to, and according to the secondary data reference curve prestored in the BMS is updated.
3. the data processing system of electric car as claimed in claim 2, which is characterized in that the BCU includes:
First controller, for carrying out full-vehicle control according to the state parameter of the power battery；
Second controller generates institute for being communicated with the Cloud Server, and according to the state parameter of the power battery
Level one data is stated, and receives the secondary data of the Cloud Server feedback, and according to the secondary data to pre- in the BMS
The reference curve deposited is updated.
4. the data processing system of electric car as described in claim 1, which is characterized in that further include:
Charging pile, for charging to the electric car, and when judging that the electric car is in constant-current charging phase,
It is communicated with the BMS by charging CAN network or blueteeth network to obtain the level one data, and by the level one data
Be sent to the Cloud Server, and receive the secondary data of the Cloud Server feedback, and by the charging CAN network or
Blueteeth network feeds back to the BMS.
5. the data processing system of electric car as described in claim 1, which is characterized in that further include:
Car-mounted terminal for the level one data to be sent to the Cloud Server, and receives the Cloud Server feedback
Secondary data, and feed back to the BMS.
6. the data processing system of electric car as described in claim 1, which is characterized in that the secondary data includes described
The corresponding battery reference curve of multiple single batteries.
7. a kind of data processing method of electric car, which is characterized in that wherein, be provided with battery on the electric car
Management system BMS, the described method comprises the following steps:
The BMS acquires the state parameter of multiple single batteries, and generates one according to the state parameter of the multiple single battery
Grade data, and the level one data is sent to Cloud Server；
The Cloud Server obtains the vehicle identification code VIN of the electric car, and raw according to the VIN and the level one data
At the secondary data；
The BMS receives the secondary data of Cloud Server feedback, and according to the secondary data to prestoring in the BMS
Reference curve is updated.
8. the data processing method of electric car as claimed in claim 7, which is characterized in that further include:
Charging pile charges to the electric car, and when judging that the electric car is in constant-current charging phase, passes through
Charging CAN network or blueteeth network are communicated with the BMS to obtain the level one data, and the level one data is sent
The extremely Cloud Server, and the secondary data of the Cloud Server feedback is received, and pass through the charging CAN network or bluetooth
Network-feedback is to the BMS.
9. the data processing method of electric car as claimed in claim 7, which is characterized in that the secondary data includes described
The corresponding battery reference curve of multiple single batteries.
10. a kind of electric car, which is characterized in that be provided with battery management system BMS on the electric car, wherein
The BMS is used for:
The state parameter of multiple single batteries is acquired, and level one data is generated according to the state parameter of the multiple single battery,
And the level one data is sent to Cloud Server, so that the Cloud Server obtains the vehicle identification code of the electric car
VIN, and the secondary data is generated according to the VIN and the level one data；
The secondary data of the Cloud Server feedback is received, and bent to the reference prestored in the BMS according to the secondary data
Line is updated.
11. electric car as claimed in claim 10, which is characterized in that the BMS includes:
Multiple battery collector BIC, the multiple BIC is corresponding with multiple single batteries in power battery respectively, for adopting
Collect the state parameter of the multiple single battery；
Battery control unit BCU, the BCU is connected with the multiple BIC, and is communicated with the Cloud Server, the BCU
For generating the level one data according to the state parameter of the power battery, and receive two series of the Cloud Server feedback
According to, and according to the secondary data reference curve prestored in the BMS is updated.
12. electric car as claimed in claim 11, which is characterized in that the BCU includes:
First controller, for carrying out full-vehicle control according to the state parameter of the power battery；
Second controller generates institute for being communicated with the Cloud Server, and according to the state parameter of the power battery
Level one data is stated, and receives the secondary data of the Cloud Server feedback, and according to the secondary data to pre- in the BMS
The reference curve deposited is updated.
13. electric car as claimed in claim 10, which is characterized in that further include:
Car-mounted terminal for the level one data to be sent to the Cloud Server, and receives the Cloud Server feedback
Secondary data, and feed back to the BMS.
14. electric car as claimed in claim 10, which is characterized in that the secondary data includes the multiple single battery
Corresponding battery reference curve.
Priority Applications (2)
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| CN201810287040.7A CN110324382A (en) | 2018-03-30 | 2018-03-30 | Electric car and its data processing system and data processing method |
| PCT/CN2019/079486 WO2019184862A1 (en) | 2018-03-30 | 2019-03-25 | Electric automobile and data processing system and data processing method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810287040.7A CN110324382A (en) | 2018-03-30 | 2018-03-30 | Electric car and its data processing system and data processing method |
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| CN110881179B (en) * | 2019-11-27 | 2020-06-26 | 山东双端数字科技有限公司 | NBlot internet of things system |
| CN112114269A (en) * | 2020-08-11 | 2020-12-22 | 北交新源(北京)科技有限公司 | Charging and detecting integrated platform and method for electric automobile |
| CN114148218A (en) * | 2020-09-07 | 2022-03-08 | 北汽福田汽车股份有限公司 | Method and device for updating SOP parameter value of battery system and electric vehicle |
| CN114148218B (en) * | 2020-09-07 | 2023-09-08 | 北汽福田汽车股份有限公司 | Method and device for updating SOP parameter value of battery system and electric automobile |
| WO2022188760A1 (en) * | 2021-03-09 | 2022-09-15 | 华为技术有限公司 | Method and device for estimating heat of power battery pack |
| CN113910977A (en) * | 2021-10-20 | 2022-01-11 | 深圳市道通合创新能源有限公司 | System and method for acquiring data of battery management system of electric vehicle |
| CN113848430A (en) * | 2021-10-20 | 2021-12-28 | 广东电网有限责任公司广州供电局 | Electric energy fault monitoring method and device |
| CN113997805A (en) * | 2021-11-15 | 2022-02-01 | 北京理工大学深圳汽车研究院(电动车辆国家工程实验室深圳研究院) | Charging control method and system of new energy automobile, vehicle-mounted terminal and medium |
| CN114368312A (en) * | 2022-01-11 | 2022-04-19 | 青岛特来电新能源科技有限公司 | Vehicle information processing method and device, electronic equipment and medium |
| CN114969080A (en) * | 2022-06-15 | 2022-08-30 | 湖北亿纬动力有限公司 | Data updating method, device, system, vehicle, cloud server and medium |
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| WO2019184862A1 (en) | 2019-10-03 |
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