CN110370983A - Battery for electric automobile management system based on 5G mobile communication - Google Patents
Battery for electric automobile management system based on 5G mobile communication Download PDFInfo
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- CN110370983A CN110370983A CN201910530973.9A CN201910530973A CN110370983A CN 110370983 A CN110370983 A CN 110370983A CN 201910530973 A CN201910530973 A CN 201910530973A CN 110370983 A CN110370983 A CN 110370983A
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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
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
-
- 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
-
- 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
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- 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
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- 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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- 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
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
-
- 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/545—Temperature
-
- 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/547—Voltage
-
- 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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/549—Current
-
- 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
-
- 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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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Mechanical Engineering (AREA)
- Sustainable Energy (AREA)
- Sustainable Development (AREA)
- Transportation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a kind of battery for electric automobile management systems based on 5G mobile communication, are related to battery technology field, when main purpose is to guarantee that battery management system and cloud carry out data transmission, large capacity, real-time and the reliability of data communication.The system comprises: the battery control system at electric car end, the cloud computing system of 5G communication module and setting beyond the clouds are set.Battery control system, for detecting the running state parameter of battery；5G communication module, for being modulated to running state parameter and being sent to cloud computing system；Cloud computing system, for training the battery management model in cloud according to running state parameter and returning to 5G communication module；5G communication module is also used to demodulate updated model parameter and is sent to battery control system；Battery control system is also used to be updated local battery management model using updated model parameter, and calculates the state of a control parameter of battery, is controlled with the operating status to battery.
Description
Technical field
The present invention relates to battery technology fields, more particularly to a kind of battery for electric automobile pipe based on 5G mobile communication
Reason system.
Background technique
Core of the battery management system as electric automobile energy management, by the work for acquiring electric car internal cell
Information estimates operating status, remaining mileage and safe condition of battery etc., and then controls battery charging and discharging, battery balanced, battery
Heating and management battery security.Battery can be extended using battery management system, ensure the safety fortune of battery
Row.
Battery for electric automobile management system majority is based on embedded system and locally carries out cell tube in electric car at present
Reason, is limited by embedded system calculation resources, arithmetic speed, and battery management system mostly uses voltage estimate method, ampere-hour integral
The linear models such as method, Kalman filtering method estimate battery remaining power, cell safety state etc., but since battery fills
Discharge process is a complicated chemical reaction, using simple linear model can generate poor estimation precision, deviation accumulation and
The problems such as stability is poor.
With the fast development of the technologies such as wireless telecommunications, cloud computing, currently, electric car may be implemented by wireless
A large amount of calculating work are transmitted to cloud computing platform and handled by mechanics of communication, and result passes through wireless telecommunications skill by treated
Art feeds back to electric car, and electric car carries out associated batteries control and management according to the information that platform is fed back.But electronic
In the transmission of the data of automobile and cloud computing platform, there are transmission rates for the wireless communication techniques such as existing 4G, wifi slowly, real-time
Not strong, the disadvantages of transmission range is insufficient, electric car is unable to satisfy with cloud computing platform and carries out the use need that real time data interacts
It asks.
Summary of the invention
In view of this, the present invention provides a kind of battery for electric automobile management system based on 5G mobile communication, main mesh
Be to guarantee battery management system and when cloud carries out data transmission, the large capacity of data communication, real-time and reliable
Property.
According to the present invention on one side, a kind of battery for electric automobile management system based on 5G mobile communication is provided,
Include:
The battery control system at electric car end is set, the cloud computing system of 5G communication module and setting beyond the clouds,
The battery control system, for detecting the running state parameter of battery；
The 5G communication module, for being modulated to the running state parameter and being sent to the cloud computing system；
The cloud computing system obtains more for the battery management model in parameter training cloud according to the operation state
Model parameter after new simultaneously returns to the 5G communication module；
The 5G communication module is also used to demodulate the updated model parameter and be sent to the battery control
System processed；
The battery control system is also used to update local battery management mould using the updated model parameter
Type, and parameter and the battery management model for updating local according to the operation state, calculate the state of a control of the battery
Parameter is controlled with the operating status to the battery.
The present invention provides a kind of battery for electric automobile management system based on 5G mobile communication, passes through with the prior art
The communication modes such as 4G, WIFI realize battery management system compared with the data interaction between cloud, and the present invention is at electric car end
Battery control system and 5G communication module are set, cloud computing system, the battery control system, for detecting electricity are set beyond the clouds
The running state parameter in pond；The 5G communication module, for being modulated to the running state parameter and being sent to the cloud
Computing system；The cloud computing system obtains more for the battery management model in parameter training cloud according to the operation state
Model parameter after new simultaneously returns to the 5G communication module；The 5G communication module is also used to the updated model
Parameter is demodulated and is sent to the battery control system；The battery control system is also used to using described updated
Model parameter updates local battery management model, and parameter and the battery management for updating local according to the operation state
Model is calculated the state of a control parameter of the battery, is controlled with the operating status to the battery.The present invention is logical using 5G
News technology realizes the data interaction between battery management system and cloud, it can be ensured that the large capacity of data communication, real-time with
Reliability guarantees that electric car can safe and stable and reliable operation.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 shows a kind of battery for electric automobile management system based on 5G mobile communication provided in an embodiment of the present invention
Structural schematic diagram；
Fig. 2 shows a kind of battery for electric automobile management systems based on 5G mobile communication provided in an embodiment of the present invention
General frame schematic diagram；
Fig. 3 shows another battery for electric automobile management system based on 5G mobile communication provided in an embodiment of the present invention
System structural schematic diagram；
Fig. 4 shows battery control system schematic diagram provided in an embodiment of the present invention；
Fig. 5 shows 5G communication module schematic diagram provided in an embodiment of the present invention；
Fig. 6 shows cloud computing system schematic diagram provided in an embodiment of the present invention；
Fig. 7 shows deep learning training pattern calculating process schematic diagram provided in an embodiment of the present invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
As stated in the background art, currently, electric car may be implemented battery management system through wireless communication technique
A large amount of calculating work needed for system are transmitted to cloud computing platform and are handled, and result passes through wireless communication technique by treated
Electric car is fed back to, electric car carries out associated batteries control and management according to the information that platform is fed back.But in electronic vapour
In the transmission of the data of vehicle and cloud computing platform, the wireless communication techniques such as existing 4G, wifi there are transmission rates slow, real-time is not
By force, the disadvantages of transmission range is insufficient is unable to satisfy the use demand of car networking.
To solve the above-mentioned problems, the embodiment of the invention provides a kind of battery for electric automobile based on 5G mobile communication
Management system, as shown in Figure 1, the system comprises: the battery control system 11 at electric car end, 5G communication module 12 are set
With the cloud computing system 13 of setting beyond the clouds.
The battery control system 11, can be used for detecting the running state parameter of battery, can specifically include battery list
Bulk voltage, battery total voltage, battery charging and discharging electric current, battery temperature and battery insulation resistance.
The battery control system 11 can be also used for updating local cell tube using the updated model parameter
Model is managed, and parameter and the battery management model for updating local according to the operation state, calculates the control of the battery
State parameter is controlled with the operating status to the battery.
The 5G communication module 12 can be used for being modulated the running state parameter and being sent to the cloud computing
System 13.
The 5G communication module 12 can be also used for demodulating the updated model parameter and being sent to described
Battery control system 11.
The cloud computing system 13 can be used for the battery management model in parameter training cloud according to the operation state,
It obtains updated model parameter and returns to the 5G communication module 12, as shown in Figure 2.
Further, the battery for electric automobile management system the embodiment of the invention provides another kind based on 5G mobile communication
System, as shown in figure 3, the system comprises: the battery control system 21 at electric car end, 5G communication module 22 and setting are set
Cloud computing system 23 beyond the clouds.
The battery control system can specifically include: battery detecting control module 212 and battery model execution module
211.As shown in figure 3, providing battery control system schematic diagram.
The battery detecting control module 212, specifically can be used for detecting the running state parameter of battery, and by the fortune
Row state parameter is uploaded to the battery model execution module 211.
The battery detecting control module 212 specifically can be also used for receiving the passback of battery model execution module 211
The state of a control parameter, controlled with the operating status to the battery.
The battery detecting control module 212 can specifically include: battery detection unit 2122 and battery control unit
2121。
The battery detection unit 2122 specifically can be used for detecting the running state parameter of battery, the operating status
Parameter includes battery cell voltage, battery total voltage, battery charging and discharging electric current, battery temperature and battery insulation resistance.
It should be noted that being deposited between the monomer voltage of the battery and the battery temperature and the state of a control parameter
Logical relation can be with are as follows: with patrolling between the monomer voltage and the battery temperature and the state of a control parameter SOC
For the relationship of collecting, the monomer voltage can be the external embodiment of the SOC, the monomer of the battery if the SOC increases
Voltage also increases.Similarly, the charging and discharging state of battery temperature and battery also will affect the numerical value of the SOC, such as temperature liter
The SOC increases when high, temperature when reducing the SOC also reduce；The battery is in SOC when charged state and increases, institute
It states battery and is in SOC reduction when discharge condition.
The battery detection unit 2122 can specifically include: battery measuring unit 21221 and high voltage unit 21222.
The battery measuring unit 21221, specifically may include battery cell voltage detection circuit 212211, battery temperature
Detection circuit 212212, battery equalizing circuit 212213 and first control circuit 212214.
The first control circuit 212214 can be used for the battery for detecting the battery voltage detection circuit 212211
After monomer voltage and the battery temperature conversion process of the battery temperature detection circuit 212212 detection, it is uploaded to the electricity
Pond control unit 2121.The mode of the conversion process is specifically as follows: communications protocol parsing or analog-to-digital conversion (Analog-
To-Digital Convert, AD conversion), the communications protocol can specifically include: SPI communications protocol, IIC communications protocol
Deng.The process for being uploaded to the battery control unit 2121 can pass through controller LAN (Controller Area
Network, CAN) communication modes.
The battery equalizing circuit 212213 can be used in the equilibrium for receiving the return of battery control unit 2121
After order, balanced discharge is carried out to the battery.
The high voltage unit 21222, specifically may include total voltage detection circuit 212221, insulation resistance measurement circuit
212222, charging and discharging currents detection circuit 212223 and second control circuit 212224.
The total voltage detection circuit 212221 can be used in such a way that electric resistance partial pressure adds insulation amplifier acquiring battery
Total voltage.
The insulation resistance measurement circuit 212222 can be used for acquiring battery respectively by double high-voltage isulation MOS switches
Always just, battery always bear insulation impedance between automobile ground.
The charging and discharging currents detection circuit 212223 can be used for measuring battery respectively by double-range Hall sensor
Charging and discharging currents.
The second control circuit 212224 can be used for the battery total voltage, the insulation resistance and the charge and discharge
After electric current conversion process, it is uploaded to the battery control unit 2121.It is described to be uploaded to the battery control unit 2121
Process can pass through the communication modes of CAN.
The battery control unit 2121 specifically can be used for using the state of a control parameter, to the fortune of the battery
Row state is controlled, and the state of a control parameter includes battery remaining power, cell health state, remaining battery power and electricity
Pond remaining capacity.
The battery control unit 2121 specifically can be also used for passing through battery in the insufficient situation of battery dump energy
Administration interface in advance prompts automobile user, and the mileage that is inputted according to user by battery management interface and described
State of a control parameter carries out path planning.When cell voltage is too low, the battery control unit 2121 can be also used for closing
Subset is inside electric car to save electricity.
The battery control unit 2121 can specifically include: communicating circuit 21211, control relay circuit 21212, event
Barrier detection and safety protective circuit 21213 and third control circuit 21214.
The communicating circuit 21211 specifically can be used for communicating the acquisition operation with the battery detection unit 21221
State parameter is established to communicate with charger and is charged to the battery, communicated with the battery model execution module 211, with
The running state parameter is uploaded to the battery model execution module 211, and receives the state of a control parameter.
The control relay circuit 21212, specifically can be used for controlling battery charge relay, electric discharge relay,
Relay, cooling fan relay are heated, to be managed to battery power status.
The fault detection and safety protective circuit 21213 specifically can be used for information according to the operation state and determine
It when the cell malfunctions, exports warning message and disconnects corresponding relay under high-risk level condition, to guarantee
The cell safety.
The third control circuit 21214 specifically can be used for controlling the communicating circuit 21211, the relay control
The work that circuit 21212 processed and the fault detection and safety protective circuit 21213 execute.
The battery model execution module 211 specifically can be used for cleaning the running state parameter, and will be clear
Running state parameter after washing is sent to the 5G communication module 22.
The 5G communication module 22 specifically can be used for that the running state parameter after the cleaning is modulated and is sent
To the cloud computing system 23.
The battery model execution module 211 specifically can be also used for updating this using the updated model parameter
The battery management model on ground, and according to the operation state parameter and it is described update local battery management model, described in calculating
The state of a control parameter of battery.
The battery model execution module 211 specifically may include: physical layer 2111 and application layer 2112.
The data cleansing unit 21121 and the model performing unit 21122 are respectively arranged at the application layer 2112.
The data cleansing unit 21121 specifically can be used for cleaning the running state parameter, and will be described
Running state parameter after cleaning is transmitted to the model performing unit 21122 and the 5G communication module 22.It is described to clean
Journey may include: duplicate removal, error correction, denoising etc..
The model performing unit 21122 specifically can be used for according to running state parameter after the cleaning and described
Local battery management model is updated, calculates the state of a control parameter of the battery, and the state of a control parameter is returned to
The battery detecting control module 212.The state of a control parameter of the battery can specifically include: battery remaining power (State
Of charge, SOC), cell health state (State of Health, SOH), remaining battery power (State of Power,
SOP), battery dump energy (State of Energy, SOE) etc..
The physical layer 2111 specifically may include embedded-type ARM CPU21111 and embedded gpu 21112, the insertion
Formula ARM CPU21111 can be used for that the data cleansing unit 21121 is supported to carry out data cleansing, described embedded
The calculating that GPU21112 can be used for that the model performing unit 21122 is supported to carry out state of a control parameter.
The embedded-type ARM CPU21111 logic branch processing capacity is strong, specifically can be used for executing system, communication
It is controlled with human-computer interaction etc..Wherein, the system executes control, may include controlling entire battery model execution module
211 operational process, such as acquisition, cleaning treatment, the forwarding control of data, model running control etc.；The Communication Control, can
To include obtaining data from battery detecting control module 212, and data are sent to the 5G communication module 22 by treated；Institute
Stating human-computer interactive control process can specifically include: the user at electric car end can check that battery is transported by battery management interface
Row parameter information and control parameter information, and instruction is issued to the battery control system by the battery management interface
It is controlled.
21112 computation capability of embedded gpu is strong, specifically can be used for according to running state parameter and described
The battery management model on ground calculates the state of a control parameter of the battery.
The 5G communication module 22 can specifically include: 5G baseband chip 221 and 5G aerial array 222.As shown in figure 5,
Provide 5G communication module schematic diagram.
The 5G communication module 22 specifically can be used for adjusting the running state parameter through the 5G baseband chip 221
After system, electromagnetic wave signal is converted to through the 5G aerial array 222 and is sent to the base station 5G, the base station 5G is sent to by network
Cloud computing center 23.
The 5G communication module 22 specifically can be also used for the electromagnetic wave signal for sending the base station 5G and pass through the 5G
Aerial array 222 is converted to electric signal, is back to the battery control system 21 after the 5G baseband chip 221 modulation.
The 5G baseband chip 221 specifically can be used for the running state parameter being modulated into the first electric signal；
The 5G baseband chip 221 is also used to demodulate second electric signal, obtains the updated model ginseng
Number.
The 5G baseband chip 221 can specifically include: baseband portion 2211 and radio frequency part 2212.
The baseband portion 2211 specifically can be used for the running state parameter being modulated into the first baseband signal.Institute
Stating modulated process can specifically include channel coding, signal modulation, Digital Signal Processing and Interface Controller of signal etc..
The radio frequency part 2212 specifically can be used for first baseband signal being converted to the first radiofrequency signal, and
First radiofrequency signal is converted into first electric signal.
The radio frequency part 2212, is also used to be converted to second electric signal the second radiofrequency signal, and by described
Two radiofrequency signals are converted to the second baseband signal.
The baseband portion 2211 is also used to demodulate second baseband signal, obtains the updated mould
Shape parameter.The demodulating process can specifically include channel decoding, signal demodulation, Digital Signal Processing and the Interface Controller of signal
Deng.
The 5G aerial array 222 specifically can be used for receiving first electric signal and turn first electric signal
It is changed to the first electromagnetic wave signal and is sent to the base station 5G, the base station 5G is used for the operation through first electromagnetic wave signal
State parameter is sent to the cloud computing system 23.
The 5G aerial array 222 specifically can be also used for receiving the cloud computing system 23 and pass through the base station 5G and sends out
The second electromagnetic wave signal sent, and second electromagnetic wave signal is converted into the second electric signal.
The 5G aerial array 222 can specifically use n × n aerial array, such as can use 5 × 4 aerial arrays,
As shown in Figure 5.
The 5G aerial array 222 can be with the 5G baseband chip in order to drop low signal attenuation and reduce track lengths
221 are closely packed together, or the 5G aerial array 222 is directly integrated into inside the 5G baseband chip 221.
The cloud computing system 23 can specifically include: data storage center 231 and model training center 232.Such as Fig. 6 institute
Show, provides cloud computing system schematic diagram.
The data storage center 231 specifically can be used for storing the operation shape that the 5G communication module 22 uploads
State parameter.
The model training center 232 specifically can be used for parameter real-time update training battery according to the operation state
Administrative model, and obtained updated model parameter is uploaded to the 5G communication module 22, to be sent to the battery control
System 21 processed.
The model training center 232 specifically can be also used for the battery management model in training training cloud.For example, as schemed
It shown in 7, is updated using the training that the calculation of deep learning carries out model, deep learning network input layer is the monomer of battery
Voltage Vi, k and battery total voltage Vtotal, k, charging and discharging currents Tk and cycle-index Ncycle, middle layer use depth confidence
Network DBN mode (being divided into RBM layers and BP layers) is to network, according to the parameter information for each node that cloud computing system 23 returns,
Calculate the end value of final output layer SOC and SOH.The deepness belief network (Deep Belief Network, DBN)
Training method, being limited Boltzmann machine (Restricted Boltzmann Machine, RBM) and one layer using multilayer has supervision
Network (Back Propagation, BP), two adjacent hidden layers constitute a RBM.The training process of DBN are as follows: setting network
The parameters such as the number of plies, hidden layer unit number, the entire DBN network parameter of random initializtion；By training sample data to first RBM,
RBM is trained using deep learning algorithm (Contrastive Divergence, CD algorithm), saves network parameter；It will
The hidden layer output of next layer of RBM finishes until all RBM are trained as the input data next RBM of training, passes through no prison
The pre-training superintended and directed can get entire DBN network parameter；The training for having supervision is carried out using the BP network of the last layer, and reversed
The RBM for adjusting each layer obtains DBN network parameter adjusted.In the training process of DBN network, the core when training of RBM,
By the layer-by-layer training of RBM, the initialization of DBN network parameter is realized, although these network parameters are not optimized parameters, he
Often fall near optimal value, can effectively avoid BP algorithm and led in training classifier due to random initializtion network parameter
It causes to fall into locally optimal solution or training time too long problem.
The model training center 232 can be used for the operating status stored according to the data storage center 231
Parameter, to the battery management model of cloud storage, such as data mining, deep learning, the various machine learning models of neural network
It is trained update, to obtain more accurate model parameter.Wherein, the model parameter can be in the model training
The heart 232 according to the operation state parameter real-time update training battery management model obtain as a result, being in a manner of deep learning
Example: the model parameter can be the w value (weighted value) and b value (deviant) of each node during the deep learning, lead to
Chang Suoshu model parameter is back to the battery model execution module 211 with a matrix type, i.e., the described cloud computing system 23 to
The 211 transmission pattern parameter of battery model execution module, the form of the model parameter includes w matrix and b matrix.
It according to the technical solution of the present invention, can be when electric car and cloud computing platform carry out data transmission, it is ensured that number
According to the large capacity of communication, real-time and reliability, it is ensured that electric car can be safe and stable and be reliably run, and meets electronic
The use demand that real time data interacts is carried out between automobile and cloud computing platform.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
It is understood that the correlated characteristic in the above method and device can be referred to mutually.In addition, in above-described embodiment
" first ", " second " etc. be and not represent the superiority and inferiority of each embodiment for distinguishing each embodiment.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
Algorithm and display are not inherently related to any particular computer, virtual system, or other device provided herein.
Various general-purpose systems can also be used together with teachings based herein.As described above, it constructs required by this kind of system
Structure be obvious.In addition, the present invention is also not directed to any particular programming language.It should be understood that can use various
Programming language realizes summary of the invention described herein, and the description done above to language-specific is to disclose this hair
Bright preferred forms.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
Shield the present invention claims features more more than feature expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself
All as a separate embodiment of the present invention.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
Meaning one of can in any combination mode come using.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors
Software module realize, or be implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice
Microprocessor or digital signal processor (DSP) realize one of some or all components according to embodiments of the present invention
A little or repertoire.The present invention is also implemented as setting for executing some or all of method as described herein
Standby or program of device (for example, computer program and computer program product).It is such to realize that program of the invention deposit
Storage on a computer-readable medium, or may be in the form of one or more signals.Such signal can be from because of spy
It downloads and obtains on net website, be perhaps provided on the carrier signal or be provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability
Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch
To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame
Claim.
Claims (10)
1. a kind of battery for electric automobile management system based on 5G mobile communication characterized by comprising be arranged in electronic vapour
The battery control system at vehicle end, the cloud computing system of 5G communication module and setting beyond the clouds,
The battery control system, for detecting the running state parameter of battery；
The 5G communication module, for being modulated to the running state parameter and being sent to the cloud computing system；
The cloud computing system, for the battery management model in parameter training cloud according to the operation state, after obtaining update
Model parameter and return to the 5G communication module；
The 5G communication module is also used to demodulate the updated model parameter and be sent to battery control system
System；
The battery control system is also used to update local battery management model using the updated model parameter, and
Parameter and the battery management model for updating local according to the operation state, calculate the state of a control parameter of the battery,
It is controlled with the operating status to the battery.
2. system according to claim 1, which is characterized in that the 5G communication module includes:
5G baseband chip, for the running state parameter to be modulated into the first electric signal；
5G aerial array, for receiving first electric signal and first electric signal being converted to the first electromagnetic wave signal hair
It is sent to the base station 5G, the base station 5G is used to that the running state parameter to be sent to the cloud by first electromagnetic wave signal
Computing system；
The 5G aerial array is also used to receive the second electromagnetic wave letter that the cloud computing system is sent by the base station 5G
Number, and second electromagnetic wave signal is converted into the second electric signal；
The 5G baseband chip is also used to demodulate second electric signal, obtains the updated model parameter.
3. system according to claim 2, which is characterized in that the 5G baseband chip includes:
Baseband portion, for the running state parameter to be modulated into the first baseband signal；
Radio frequency part for first baseband signal to be converted to the first radiofrequency signal, and first radiofrequency signal is turned
It is changed to first electric signal；
The radio frequency part is also used to be converted to second electric signal the second radiofrequency signal, and second radio frequency is believed
Number be converted to the second baseband signal；
The baseband portion is also used to demodulate second baseband signal, obtains the updated model parameter.
4. system according to claim 1, which is characterized in that the battery control system includes: battery detecting control mould
Block and battery model execution module,
The battery detecting control module is uploaded for detecting the running state parameter of battery, and by the running state parameter
To the battery model execution module；
The battery model execution module, for being cleaned to the running state parameter, and by the operating status after cleaning
Parameter is sent to the 5G communication module；
The 5G communication module, specifically for the cloud meter is modulated and be sent to the running state parameter after the cleaning
Calculation system；
The battery model execution module is also used to update local battery management mould using the updated model parameter
Type, and parameter and the battery management model for updating local according to the operation state, calculate the state of a control of the battery
Parameter；
The battery detecting control module is also used to receive the state of a control ginseng of the battery model execution module passback
Number, is controlled with the operating status to the battery.
5. system according to claim 4, which is characterized in that the battery model execution module includes: data cleansing list
Member and model performing unit,
The data cleansing unit, for being cleaned to the running state parameter, and by the operating status after the cleaning
Parameter is transmitted to the model performing unit and the 5G communication module；
The model performing unit, for according to the running state parameter and the battery management for updating local after the cleaning
Model calculates the state of a control parameter of the battery, and the state of a control parameter is returned to the battery detecting and controls mould
Block.
6. system according to claim 5, which is characterized in that the battery model execution module includes: physical layer and answering
With layer,
The application layer is respectively set in the data cleansing unit and the model performing unit；
The physical layer includes embedded-type ARM CPU and embedded gpu, and the embedded-type ARM CPU is for supporting the data
Cleaning unit carries out data cleansing, and the embedded gpu is used to that the model performing unit to be supported to carry out state of a control parameter
It calculates.
7. system according to claim 4, which is characterized in that the battery detecting control module includes: battery detecting list
Member and battery control unit,
The battery detection unit, for detecting the running state parameter of battery, the running state parameter includes battery cell
Voltage, battery total voltage, battery charging and discharging electric current, battery temperature and battery insulation resistance；
The battery control unit controls the operating status of the battery, institute for utilizing the state of a control parameter
Stating state of a control parameter includes battery remaining power, cell health state, remaining battery power and battery dump energy.
8. system according to claim 7, which is characterized in that the battery detection unit include: battery measuring unit and
High voltage unit,
The battery measuring unit, comprising battery cell voltage detection circuit, battery temperature detection circuit, battery equalizing circuit with
And first control circuit, the first control circuit are used for the battery cell voltage for detecting the battery voltage detection circuit,
And after the battery temperature conversion process of the battery temperature detection circuit detection, it is uploaded to the battery control unit, it is described
Battery equalizing circuit, for being carried out to the battery balanced after receiving the equalization command that the battery control unit returns
Electric discharge；
The high voltage unit, comprising total voltage detection circuit, insulation resistance measurement circuit, charging and discharging currents detection circuit and
Second control circuit, the second control circuit be used for the total voltage detection circuit is detected battery total voltage, it is described absolutely
The charging and discharging currents that the insulation resistance of edge resistance measuring circuit detection, the charging and discharging currents detection circuit detect, conversion
After processing, it is uploaded to the battery control unit.
9. system according to claim 7, which is characterized in that the battery control unit includes:
Communicating circuit is established with charger and is communicated for obtaining the running state parameter with battery detection unit communication
It charged to the battery, communicated with the battery model execution module, the running state parameter is uploaded to described
Battery model execution module, and receive the state of a control parameter；
Control relay circuit, the charge relay for controlling battery, electric discharge relay, heating relay, cooling fan relay,
To be managed to battery power status；
Fault detection and safety protective circuit, it is defeated for when information determines the cell malfunctions according to the operation state
Warning message and corresponding relay is disconnected under high-risk level condition out, to guarantee the cell safety
Third control circuit, for controlling the communicating circuit, the control relay circuit and the fault detection and peace
The work that full protection circuit executes.
10. system according to claim 1, which is characterized in that the cloud computing system includes:
Data storage center, the running state parameter uploaded for storing the 5G communication module；
Model training center for the training battery management model of parameter real-time update according to the operation state, and will obtain
Updated model parameter is uploaded to the 5G communication module, to be sent to the battery control system.
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