CN111162575B - Charging curve updating method and device, cloud server and battery - Google Patents
Charging curve updating method and device, cloud server and battery Download PDFInfo
- Publication number
- CN111162575B CN111162575B CN201910643990.3A CN201910643990A CN111162575B CN 111162575 B CN111162575 B CN 111162575B CN 201910643990 A CN201910643990 A CN 201910643990A CN 111162575 B CN111162575 B CN 111162575B
- Authority
- CN
- China
- Prior art keywords
- battery
- charging curve
- charging
- information
- curve
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000036541 health Effects 0.000 claims description 29
- 238000007599 discharging Methods 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 8
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000013528 artificial neural network Methods 0.000 description 5
- 238000004422 calculation algorithm Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 230000003862 health status Effects 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 210000004027 cell Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 238000002945 steepest descent method Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M10/4257—Smart batteries, e.g. electronic circuits inside the housing of the cells or batteries
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
-
- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The invention provides a charging curve updating method, a charging curve updating device, a cloud server and a battery, wherein the charging curve updating method comprises the following steps: pre-storing an original charging curve uploaded by a battery communicated with a cloud server; correcting the original charging curve according to the data uploaded by the battery to obtain a new charging curve and storing the new charging curve; the new charging profile is sent to the battery. The battery has a network function, and can upload the data of the battery to the cloud server. The cloud server can dynamically update the charging curve according to the big data of the battery and send the charging curve to the battery, so that the battery can accurately calculate the current charging curve of the battery according to the updated new charging curve, and the charging equipment can rapidly charge the battery according to the current charging curve of the battery.
Description
Technical Field
The invention relates to the field of intelligent control, in particular to a charging curve updating method, a charging curve updating device, a cloud server and a battery.
Background
With the development of shared travel and new energy, shared batteries have been widely used. The current calculation of the battery electric quantity is mainly concentrated on a chip scheme, and the scheme has limitation that the current battery core chip has limited operation capability, so that a specific charging curve can only be written when leaving a factory, and the battery can only be charged according to the charging curve before leaving the factory. The specific charging curve is obtained by taking the intermediate value after verification by using a small number of batteries and operating conditions due to the limitation of time. The accumulated error of the charging curve is large, and the charging curve of the battery needs to be corrected according to the running condition of the battery so as to obtain a more accurate charging curve and realize scientific charging of the battery.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present invention is to provide a charging curve updating method, device, cloud server and battery, which are used for solving the problem that in the prior art, the charging curve of the battery cannot be updated according to the operation condition of the battery.
To achieve the above and other related objects, the present invention provides a charging curve updating method, which operates in a cloud server, and the charging curve updating method includes: pre-storing an original charging curve uploaded by a battery communicated with the cloud server; acquiring battery information, battery voltage, battery temperature and charge-discharge current uploaded by the battery; correcting the original charging curve stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and storing the new charging curve; transmitting the new charging curve to the battery for the battery to update the original charging curve stored by the battery according to the new charging curve; the new charging curve comprises charging curve electric quantity information, temperature information and health state information.
In an embodiment of the present invention, the battery information includes a battery identification tag, and the charging curve updating method includes: classifying the batteries according to the battery identification tag; respectively obtaining the new charging curves of the batteries of all the categories; and respectively issuing each new charging curve to each corresponding battery.
In an embodiment of the present invention, the battery information includes a battery identification tag, the battery identification tag includes location information and/or lot number information, after classifying the batteries according to the location information and/or lot number information, the new charging curves related to the batteries of each class are respectively obtained, and then the new charging curves corresponding to each class are respectively issued to the batteries corresponding to each class.
In one embodiment of the present invention, the method further comprises the following steps: dividing a plurality of battery intervals according to a preset charging curve electric quantity information range, a preset temperature range and a preset health state range, wherein each battery interval corresponds to a designated charging curve electric quantity information interval, a designated temperature interval and a designated health state interval.
In one embodiment of the present invention, the step of correcting the original charging curve of the battery according to the battery information, the battery voltage, the battery temperature and the charging/discharging current to obtain a new charging curve includes: classifying the battery information according to a charging curve electric quantity information section where battery charging curve electric quantity information corresponding to the battery information is located, a temperature section where battery temperature corresponding to the battery information is located and a health state section where battery health state corresponding to the battery information is located, so as to determine the battery section where the battery information is located, and correcting an original charging curve of the battery according to a classification result, the battery voltage, the battery temperature, charging and discharging current and pre-acquired historical operation data of the battery to obtain the new charging curve.
In an embodiment of the present invention, the battery information includes at least one of the following information: battery manufacturer, battery capacity, battery type, battery lot number, and historical operating data.
In an embodiment of the present invention, the cloud server establishes a database for each of the batteries in advance, and obtains and stores a charging curve, a battery production lot number, and battery operation data for each of the batteries in the database, respectively.
To achieve the above and other related objects, the present invention also provides a charging curve updating device, which operates in a cloud server, and the charging curve updating device includes: the pre-storing module is used for pre-storing an original charging curve uploaded by the battery communicated with the cloud server; the information acquisition module is used for acquiring battery information, battery voltage, battery temperature and charge and discharge current uploaded by the battery; the curve updating module is used for correcting the original charging curve stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and storing the new charging curve; the information sending module is used for sending the new charging curve to the battery so that the battery can update the original charging curve stored in the battery according to the new charging curve; the new charging curve comprises charging curve electric quantity information, temperature information and health state information.
To achieve the above and other related objects, the present invention also provides a cloud server, including a processor and a memory; the memory is used for storing a computer program, and the processor is used for executing the computer program stored by the memory, so that the cloud server executes the charging curve updating method according to any one of the above.
To achieve the above and other related objects, the present invention also provides a charging profile updating method, which operates in a battery, the battery being in communication with a cloud server as described above, the charging profile updating method comprising: uploading an original charging curve, battery information, battery voltage, battery temperature and charging and discharging current of the battery to the cloud server, so that the cloud server corrects the original charging curve of the battery stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and store the new charging curve, and sending the new charging curve to the battery; receiving a new charging curve about the battery issued by the cloud server, and updating the original charging curve stored by the battery according to the new charging curve; the new charging curve comprises charging curve electric quantity information, temperature information and health state information.
In an embodiment of the present invention, the charging curve updating method further includes: and sending the new charging curve to a charging device electrically connected with the battery, so that the charging device charges the battery according to the received new charging curve.
To achieve the above and other related objects, the present invention also provides a charging profile updating device operating in a battery in communication with a cloud server as described above, the charging profile updating device comprising: the information uploading module is used for uploading an original charging curve, battery information, battery voltage, battery temperature and charging and discharging current of the battery to the cloud server so that the cloud server corrects the original charging curve of the battery stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and store the new charging curve, and the new charging curve is sent to the battery; the curve updating module is used for receiving a new charging curve about the battery issued by the cloud server and updating the original charging curve stored by the battery according to the new charging curve; the new charging curve comprises charging curve electric quantity information, temperature information and health state information.
In an embodiment of the present invention, the charging curve updating device further includes a curve sending module, configured to send the new charging curve to a charging device electrically connected to the battery, so that the charging device charges the battery according to the received new charging curve.
To achieve the above and other related objects, the present invention also provides a battery including a processor and a memory; the memory is used for storing a computer program, and the processor is used for executing the computer program stored by the memory so as to enable the battery to execute the charging curve updating method.
As described above, the present invention provides a charging curve updating method, a device, a cloud server and a battery, and the charging curve updating method includes: pre-storing an original charging curve uploaded by a battery communicated with a cloud server; correcting the original charging curve according to the data uploaded by the battery to obtain a new charging curve and storing the new charging curve; and sending the new charging curve to a battery, and sending the new charging curve to a charging device electrically connected with the battery by the battery so that the charging device charges the battery according to the received new charging curve. The battery has a network function, and can upload the data of the battery to the cloud server. The cloud server can dynamically update the charging curve according to the big data of the battery and send the charging curve to the battery, so that the battery can accurately calculate the current charging curve of the battery according to the updated new charging curve, and the charging equipment can rapidly charge the battery according to the current charging curve of the battery.
Drawings
Fig. 1 is a flow chart of a charging curve updating method according to an embodiment of the invention.
Fig. 2 is a flowchart illustrating a neural network algorithm for updating a charging curve according to an embodiment.
Fig. 3 is a schematic diagram showing the composition of the charging curve updating device according to an embodiment of the invention.
Fig. 4 is a schematic diagram of the composition of the cloud server according to an embodiment of the present invention.
Fig. 5 is a flow chart of a charging curve updating method according to an embodiment of the invention.
Fig. 6 is a schematic diagram showing the composition of the charging curve updating device according to an embodiment of the invention.
Fig. 7 is a schematic view showing the composition of the battery of the present invention in an embodiment.
Description of element reference numerals
1. Charging curve updating device
11. Pre-storing module
12. Information acquisition module
13. Curve updating module
14. Information transmitting module
2. Cloud server
21. Processor and method for controlling the same
22. Memory device
3. Charging curve updating device
31. Information uploading module
32. Curve updating module
4. Battery cell
41. Processor and method for controlling the same
42. Memory device
S11 to S14, S21 and S22 steps
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the illustrations, not according to the number, shape and size of the components in actual implementation, and the form, number and proportion of each component in actual implementation may be arbitrarily changed, and the layout of the components may be more complex.
Referring to fig. 1, a flow chart of a charging curve updating method according to an embodiment of the invention is shown. The charging curve updating method is operated in a cloud server, and the charging curve updating method S1 includes:
s11: and pre-storing an original charging curve uploaded by a battery communicated with the cloud server. The battery is added with a network function, and the battery stores the voltage, the temperature and the charge-discharge current of the single battery collected each time to the local when in use. And uploading the locally stored data and the battery number to a cloud platform (cloud server) when the battery is in an idle state.
S12: and acquiring battery information, battery voltage, battery temperature and charging and discharging current uploaded by the battery. The cloud platform (cloud server) collects battery information, battery voltage, battery temperature and data of charge and discharge currents of the battery for classification and analysis. The number of the batteries may be single or plural.
S13: and correcting the original charging curve of the battery stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and storing the new charging curve. After analyzing the collected battery information, battery voltage, battery temperature and charge-discharge current, the cloud server can acquire correction values of all parameters, and correct the original charging curve according to the correction values of all parameters so that the new charging curve is more close to and accords with the actual running state of the battery.
S14: and sending the new charging curve to the battery so that the battery can update the original charging curve stored by the battery according to the new charging curve. In some embodiments, after the battery acquires the new charging curve, the new charging curve is sent to a charging device electrically connected to the battery, so that the charging device charges the battery according to the received new charging curve. The charging device can charge the battery according to the current new charging curve of the battery, so that scientific charging of the battery can be realized, namely, the battery is charged rapidly and reasonably according to the current charging curve of the battery, and damage to the battery caused by overcharge, underfilling and other actions is prevented.
The new charging curve comprises charging curve electric quantity information, temperature information and health state information. The state of health information may be, for example, a battery life of the battery, or the state of health information may be expressed as a charge ratio of the battery when the battery is charged when the battery is shipped. For example, when the battery leaves the factory, the electric quantity under the condition that the electric quantity is fully charged is set to be 100%, and the electric quantity under the condition that the current battery is fully charged is only equal to 80% of the electric quantity under the condition that the battery leaves the factory, the service life of the battery is reduced by 20%. For example, the current battery state of health information is 80%, the electric quantity under the condition that the current battery is fully charged corresponds to 80% of the electric quantity of the fully charged battery under the condition that the battery leaves the factory.
The cloud platform (cloud server) can classify and analyze the collected battery information, battery voltage, battery temperature and data of charge and discharge current to obtain a new charging curve, and then send the new charging curve to the battery. Or the cloud platform (cloud server) can also obtain the correction parameters according to the collected battery information, battery voltage, battery temperature and charging and discharging current data, then correct the original charging curve according to the correction parameters to obtain a new charging curve, or the cloud platform (cloud server) can also obtain the correction parameters according to the collected battery information, battery voltage, battery temperature and charging and discharging current data, then send the correction parameters to the target battery, and the target battery locally obtains the new charging curve according to the correction parameters.
In some embodiments, the battery information includes a battery identification tag, and each new charging curve is issued to each battery after each new charging curve related to each battery is acquired according to the battery identification tag. That is, a new charge curve for a single battery is obtained from battery information uploaded by the single battery, battery voltage, battery temperature, and charge-discharge current. And then respectively issuing new charging curves for the individual batteries to the corresponding batteries according to the battery identification tags. Batteries are classified according to battery identification tags, and the same new charge profile can be issued for batteries having the same battery identification tag. For example, after a new charge curve for a battery of a certain class of battery identification tags is obtained, the new charge curve may be issued to other batteries having the same battery identification tag.
In some embodiments, the battery identification tag includes location information and/or lot number information, and after classifying the batteries according to the location information and/or lot number information, the new charging curves related to the batteries of each class are respectively obtained, and then the new charging curves corresponding to each class are respectively issued to the batteries corresponding to each class. For example, the battery with the same location information is uniformly corrected for the charging curve to obtain a new charging curve, and the new charging curve is uniformly issued to the battery with the same location information. For another example, the charging curve of the batteries with the same lot number information is uniformly corrected to obtain a new charging curve, and the new charging curve is uniformly issued to the batteries with the same lot number information.
In some embodiments, the battery information includes at least one of the following information: battery manufacturer, battery capacity, battery type, battery lot number, and historical operating data. Batteries can be classified according to the battery information, and batteries in the same class correspond to the same new charging curve. For example, batteries of the same manufacturer, the same capacity, the same category, the same lot number, and the same range of historical operating data may be categorized into the same category. When a new charging curve for a battery in the class is obtained, the new charging curve may be issued to other batteries in the class to update the original charging curve. The same new charging curve is used by the batteries in the same category, so that the updating efficiency of the charging curve is improved.
In some embodiments, a plurality of battery intervals are divided according to a preset charging curve electric quantity information range, a preset temperature range and a preset health state range, and each battery interval corresponds to a designated charging curve electric quantity information interval, a designated temperature interval and a designated health state interval. In some embodiments, the charging curve electric quantity information range is, for example, 0% -100%, and every 10% is a charging curve electric quantity information interval, which includes 10 intervals; the temperature range is, for example, -20 ℃ to 50 ℃, and every 10 ℃ is a temperature interval, comprising 7 intervals; the health status range is, for example, 80% to 100%, and every 2% is a zone, including 10 zones. Each battery section corresponds to a designated charging curve electric quantity information section, a designated temperature section and a designated health state section. And correcting the original charging curve according to different battery intervals, so as to obtain a new charging curve and improve the calculation accuracy of the charging curve.
In some embodiments, the step of correcting the original charge profile of the battery to obtain a new charge profile based on the battery information, the battery voltage, the battery temperature, and the charge-discharge current comprises:
classifying the battery information according to a charging curve electric quantity information section where battery charging curve electric quantity information corresponding to the battery information is located, a temperature section where battery temperature corresponding to the battery information is located and a health state section where battery health state corresponding to the battery information is located, so as to determine the battery section where the battery information is located, and correcting an original charging curve of the battery according to a classification result, the battery voltage, the battery temperature, charging and discharging current and pre-acquired historical operation data of the battery to obtain the new charging curve. In this embodiment, the battery interval in which the battery information is located may be determined by a neural network algorithm, for example, a BP (Back Propagation) neural network algorithm. The BP neural network algorithm is a multi-layer feedforward network trained according to an error back propagation algorithm. The BP network can learn and store a large number of input-output pattern mappings without revealing beforehand mathematical equations describing such mappings. Its learning rule is to use the steepest descent method to continuously adjust the weight and threshold of the network by back propagation to minimize the sum of squares of errors of the network. The BP neural network model topology includes an input layer (input), a hidden layer (hide layer), and an output layer (output layer).
In some embodiments, the cloud server pre-establishes a database for each of the batteries, and the database respectively obtains and stores a charging curve, a battery production lot number, battery operation data, and a battery health status for each of the batteries. A separate database may be established for each battery, with the battery number being the ID of that database. Referring to fig. 2, the cloud platform calculates the received data about the battery according to the BP neural network each time, and calculates a new charging curve according to the relationship between different charging curves and the service life of the battery, where the calculation formula of the new charging curve is as follows:
wherein,
omega: a charge curve versus battery life;
m1, m2 and m3 are the number of neurons in each layer respectively;
k1 K2 and k3 are the number of layers of the neuron respectively;
x, T, H represent battery information, current interval, and temperature interval, respectively.
Referring to fig. 3, a schematic diagram of a charging curve updating device according to an embodiment of the invention is shown.
The charging curve updating device 1 operates in a cloud server, and the charging curve updating device 1 includes: a pre-storing module 11, an information acquiring module 12, a curve updating module 13 and an information transmitting module 14.
The pre-storing module 11 is configured to pre-store an original charging curve uploaded by a battery in communication with the cloud server;
the information acquisition module 12 is configured to acquire battery information, battery voltage, battery temperature, and charge-discharge current uploaded by the battery;
the curve updating module 13 is configured to correct an original charging curve of the battery stored in the cloud server according to the battery information, the battery voltage, the battery temperature, and the charging/discharging current, so as to obtain a new charging curve and store the new charging curve;
the information sending module 14 is configured to send the new charging curve to the battery for the battery to update the original charging curve stored in the battery according to the new charging curve. In some embodiments, after the battery acquires the new charging curve, the new charging curve is sent to a charging device electrically connected with the battery, so that the charging device charges the battery according to the received new charging curve; the new charging curve comprises charging curve electric quantity information, temperature information and health state information.
The charging curve updating device 1 is a device item corresponding to the charging curve updating method shown in fig. 1, and all descriptions about the charging curve updating method shown in fig. 1 are applicable to this embodiment, and are not repeated herein.
Referring to fig. 4, a schematic diagram of the composition of a cloud server according to an embodiment of the invention is shown. The cloud server 2 includes a processor 21 and a memory 22.
The memory 22 is used for storing a computer program, and the processor 21 is used for executing the computer program stored in the memory 22, so that the cloud server 2 executes the charging curve updating method S1 shown in fig. 1.
The memory 22 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state storage devices. In certain embodiments, the memory 22 may also include memory 22 remote from the one or more processors 21, such as network-attached memory accessed via RF circuitry or external ports and a communication network, which may be the internet, one or more intranets, a Local Area Network (LAN), a wide area network (WLAN), a Storage Area Network (SAN), etc., or suitable combinations thereof. The memory controller may control access to the memory 22 by other components of the device, such as the CPU and peripheral interfaces.
The processor 21 is operatively coupled to a memory 22 and/or a non-volatile storage device. More specifically, processor 21 may execute instructions stored in memory 22 and/or a non-volatile storage device to perform operations in a computing device, such as generating image data and/or transmitting image data to an electronic display. As such, the processor 21 may include one or more general purpose microprocessors, one or more application specific processors (ASICs), one or more field programmable logic arrays (FPGAs), or any combination thereof.
Referring to fig. 5, a flow chart of a charging curve updating method according to an embodiment of the invention is shown.
The charging curve updating method S2 is operated in a battery, and the battery is in communication with the cloud server 2 as shown in fig. 4, and the charging curve updating method S2 includes:
s21: uploading an original charging curve of the battery, battery information, battery voltage, battery temperature and charging and discharging current to the cloud server 2, so that the cloud server 2 corrects the original charging curve of the battery stored by the cloud server 2 according to the battery information, battery voltage, battery temperature and charging and discharging current to obtain a new charging curve and store the new charging curve, and sending the new charging curve to the battery;
s22: receiving a new charging curve about the battery issued by the cloud server 2, and updating the original charging curve stored by the battery according to the new charging curve;
in some embodiments, the charging curve updating method S2 further includes: transmitting the new charging curve to a charging device electrically connected with the battery, so that the charging device charges the battery according to the received new charging curve; the new charging curve comprises charging curve electric quantity information, temperature information and health state information.
In some embodiments, the battery information includes a battery identification tag, and the cloud server 2 obtains new charging curves for the batteries according to the battery identification tag, and then issues the new charging curves to the batteries. That is, according to the battery information, the battery voltage, the battery temperature and the charge-discharge current uploaded by the single battery, a new charge curve for the single battery is obtained, and the new charge curves for the single batteries are respectively issued to the corresponding batteries.
In some embodiments, the battery information includes a battery identification tag, and after classifying the batteries according to the position information and/or lot number information included in the battery identification tag, the cloud server 2 respectively obtains new charging curves related to the batteries of each class, and then respectively issues the new charging curves corresponding to each class to the batteries corresponding to each class. For example, the battery with the same location information is uniformly corrected for the charging curve to obtain a new charging curve, and the new charging curve is uniformly issued to the battery with the same location information. For another example, the charging curve of the batteries with the same lot number information is uniformly corrected to obtain a new charging curve, and the new charging curve is uniformly issued to the batteries with the same lot number information.
Referring to fig. 6, a schematic diagram of a charging curve updating device according to an embodiment of the invention is shown.
The charging profile updating means 3 operates in a battery, which communicates with the cloud server 2 as shown in fig. 4, the charging profile updating means 3 comprising: the information uploading module 31 and the curve updating module 32.
The information uploading module 31 is configured to upload an original charging curve, battery information, battery voltage, battery temperature, and charging/discharging current of the battery to the cloud server 2, so that the cloud server 2 corrects the original charging curve of the battery stored in the cloud server 2 according to the battery information, battery voltage, battery temperature, and charging/discharging current to obtain a new charging curve, stores the new charging curve, and sends the new charging curve to the battery.
The curve updating module 32 is configured to receive a new charging curve about the battery issued by the cloud server 2, and update the original charging curve stored by the battery according to the new charging curve.
In some embodiments, the charging curve updating device 3 further includes a curve sending module, configured to send the new charging curve to a charging device electrically connected to the battery, so that the charging device charges the battery according to the received new charging curve.
Referring to fig. 7, a schematic diagram of the battery according to the present invention is shown.
The battery 4 comprises a processor 41 and a memory 42;
the memory 42 is used for storing a computer program, and the processor 41 is used for executing the computer program stored in the memory 42, so that the battery 4 executes the charging curve updating method S2 shown in fig. 5.
The memory 42 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state storage devices. In certain embodiments, the memory 42 may also include memory 42 remote from the one or more processors 41, such as network-attached memory accessed via RF circuitry or external ports and a communication network, which may be the internet, one or more intranets, a Local Area Network (LAN), a wide area network (WLAN), a Storage Area Network (SAN), etc., or suitable combinations thereof. The memory controller may control access to the memory 42 by other components of the device, such as the CPU and peripheral interfaces.
The processor 41 is operatively coupled with a memory 42 and/or a non-volatile storage device. More specifically, processor 41 may execute instructions stored in memory 42 and/or a non-volatile storage device to perform operations in a computing device, such as generating image data and/or transmitting the image data to an electronic display. As such, processor 41 may include one or more general purpose microprocessors, one or more application specific processors (ASICs), one or more field programmable logic arrays (FPGAs), or any combination thereof.
In summary, the present invention provides a charging curve updating method, a device, a cloud server and a battery, where the charging curve updating method includes: pre-storing an original charging curve uploaded by a battery communicated with a cloud server; correcting the original charging curve according to the data uploaded by the battery to obtain a new charging curve and storing the new charging curve; and sending the new charging curve to a battery, and sending the new charging curve to a charging device electrically connected with the battery by the battery so that the charging device charges the battery according to the received new charging curve. The battery has a network function, and can upload the data of the battery to the cloud server. The cloud server can dynamically update the charging curve according to the big data of the battery and send the charging curve to the battery, so that the battery can accurately calculate the current charging curve of the battery according to the updated new charging curve, and the charging equipment can rapidly charge the battery according to the current charging curve of the battery. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (13)
1. A charging curve updating method, which is characterized by being operated in a cloud server, comprising:
pre-storing an original charging curve uploaded by a battery communicated with the cloud server;
acquiring battery information, battery voltage, battery temperature and charge-discharge current uploaded by the battery;
correcting the original charging curve stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and storing the new charging curve;
transmitting the new charging curve to the battery so that the battery updates the original charging curve stored by the battery according to the new charging curve;
the new charging curve comprises charging curve electric quantity information, temperature information and health state information;
the charging curve updating method further comprises the following steps:
dividing a plurality of battery intervals according to a preset charging curve electric quantity information range, a preset temperature range and a preset health state range, wherein each battery interval corresponds to a designated charging curve electric quantity information interval, a designated temperature interval and a designated health state interval.
2. The charging profile updating method according to claim 1, wherein the battery information includes a battery identification tag, the charging profile updating method comprising:
classifying the batteries according to the battery identification tag;
respectively obtaining the new charging curves of the batteries of all the categories;
and respectively issuing each new charging curve to each corresponding battery.
3. The method for updating a charging curve according to claim 1, wherein the battery information includes a battery identification tag, the battery identification tag includes location information and/or lot number information, and after classifying the batteries according to the location information and/or lot number information, the new charging curves of the batteries of each class are acquired respectively, and then the new charging curves corresponding to each class are issued to the batteries corresponding to each class respectively.
4. The method of claim 1, wherein the step of correcting the original charge profile of the battery to obtain a new charge profile based on the battery information, the battery voltage, the battery temperature, and the charge-discharge current comprises:
classifying the battery information according to a charging curve electric quantity information section where battery charging curve electric quantity information corresponding to the battery information is located, a temperature section where battery temperature corresponding to the battery information is located and a health state section where battery health state corresponding to the battery information is located, so as to determine the battery section where the battery information is located, and correcting an original charging curve of the battery according to a classification result, the battery voltage, the battery temperature, charging and discharging current and pre-acquired historical operation data of the battery to obtain the new charging curve.
5. The charging curve updating method according to claim 1, wherein the battery information includes at least one of the following information: battery manufacturer, battery capacity, battery type, battery lot number, and historical operating data.
6. The charging profile updating method according to claim 1, wherein the cloud server establishes a database for each of the batteries in advance, and the charging profile, the battery production lot number, and the battery operation data for each of the batteries are acquired and stored in the database, respectively.
7. A charging profile updating device, characterized by being operated in a cloud server, comprising:
the pre-storing module is used for pre-storing an original charging curve uploaded by the battery communicated with the cloud server;
the information acquisition module is used for acquiring battery information, battery voltage, battery temperature and charge and discharge current uploaded by the battery;
the curve updating module is used for correcting the original charging curve stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and storing the new charging curve;
the information sending module is used for sending the new charging curve to the battery so that the battery can update the original charging curve stored in the battery according to the new charging curve;
the new charging curve comprises charging curve electric quantity information, temperature information and health state information;
the charging curve updating device is also used for: dividing a plurality of battery intervals according to a preset charging curve electric quantity information range, a preset temperature range and a preset health state range, wherein each battery interval corresponds to a designated charging curve electric quantity information interval, a designated temperature interval and a designated health state interval.
8. A cloud server, wherein the cloud server comprises a processor and a memory;
the memory is configured to store a computer program, and the processor is configured to execute the computer program stored in the memory, to cause the cloud server to execute the charging curve updating method according to any one of claims 1 to 6.
9. A charging profile updating method, operating in a battery, the battery in communication with the cloud server of claim 8, the charging profile updating method comprising:
uploading an original charging curve, battery information, battery voltage, battery temperature and charging and discharging current of the battery to the cloud server, so that the cloud server corrects the original charging curve of the battery stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and store the new charging curve, and sending the new charging curve to the battery;
receiving a new charging curve about the battery issued by the cloud server, and updating the original charging curve stored by the battery according to the new charging curve;
the new charging curve comprises charging curve electric quantity information, temperature information and health state information.
10. The charging profile updating method according to claim 9, characterized in that the charging profile updating method further comprises: and sending the new charging curve to a charging device electrically connected with the battery, so that the charging device charges the battery according to the received new charging curve.
11. A charging profile updating device operable in a battery, the battery in communication with the cloud server of claim 8, the charging profile updating device comprising:
the information uploading module is used for uploading an original charging curve, battery information, battery voltage, battery temperature and charging and discharging current of the battery to the cloud server so that the cloud server corrects the original charging curve of the battery stored by the cloud server according to the battery information, the battery voltage, the battery temperature and the charging and discharging current to obtain a new charging curve and store the new charging curve, and the new charging curve is sent to the battery;
the curve updating module is used for receiving a new charging curve about the battery issued by the cloud server and updating the original charging curve stored by the battery according to the new charging curve;
the new charging curve comprises charging curve electric quantity information, temperature information and health state information.
12. The charging profile updating apparatus according to claim 11, further comprising a profile transmitting module for transmitting the new charging profile to a charging device electrically connected to the battery for the charging device to charge the battery according to the received new charging profile.
13. A battery, wherein the battery comprises a processor and a memory;
the memory is configured to store a computer program, and the processor is configured to execute the computer program stored in the memory, to cause the battery to execute the charging profile updating method according to claim 9 or 10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910643990.3A CN111162575B (en) | 2019-07-17 | 2019-07-17 | Charging curve updating method and device, cloud server and battery |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910643990.3A CN111162575B (en) | 2019-07-17 | 2019-07-17 | Charging curve updating method and device, cloud server and battery |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111162575A CN111162575A (en) | 2020-05-15 |
| CN111162575B true CN111162575B (en) | 2023-11-24 |
Family
ID=70555834
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910643990.3A Active CN111162575B (en) | 2019-07-17 | 2019-07-17 | Charging curve updating method and device, cloud server and battery |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111162575B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111736860A (en) * | 2020-05-21 | 2020-10-02 | 华人运通(江苏)技术有限公司 | Vehicle battery management software updating method, device and equipment |
| CN114649596A (en) * | 2020-12-18 | 2022-06-21 | 北京万集科技股份有限公司 | Charging control method, charging control device, charging control system, storage medium, and electronic device |
| CN112803537B (en) * | 2021-01-14 | 2022-11-18 | 苏州极闪控电信息技术有限公司 | Shared mobile power supply management system and method based on user information big data |
| CN113771673A (en) * | 2021-08-31 | 2021-12-10 | 华为数字能源技术有限公司 | Charging control method and discharging control method for electric vehicle, controller and related equipment |
| 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 |
| CN116278903B (en) * | 2023-05-24 | 2023-07-18 | 湘江实验室 | Dynamic charging control method and system for electric automobile based on federal learning |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103358930A (en) * | 2013-08-09 | 2013-10-23 | 山东省科学院自动化研究所 | Vehicle-mounted charging control system of electric vehicle and control method thereof |
| CN105676139A (en) * | 2016-01-22 | 2016-06-15 | 深圳市智锂能源科技有限公司 | Intelligent power battery managing tracing-back method and device |
| CN106004477A (en) * | 2016-05-20 | 2016-10-12 | 武汉中原弘仁新能源科技有限公司 | Charging pile back-stage management system and method based on big data cloud computing |
| CN108226805A (en) * | 2018-01-18 | 2018-06-29 | 武汉理工大学 | A kind of cell health state On-line Estimation method based on the charging stage |
| CN109146326A (en) * | 2018-09-17 | 2019-01-04 | 沈阳工程学院 | Dispatching method and system are managed in a kind of campus electric car small station based on data flow |
| CN110015162A (en) * | 2017-06-30 | 2019-07-16 | 宝沃汽车（中国）有限公司 | Cell health state detection method, device and system and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10507730B2 (en) * | 2017-10-19 | 2019-12-17 | Ford Global Technologies, Llc | Electric vehicle cloud-based charge estimation |
-
2019
- 2019-07-17 CN CN201910643990.3A patent/CN111162575B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103358930A (en) * | 2013-08-09 | 2013-10-23 | 山东省科学院自动化研究所 | Vehicle-mounted charging control system of electric vehicle and control method thereof |
| CN105676139A (en) * | 2016-01-22 | 2016-06-15 | 深圳市智锂能源科技有限公司 | Intelligent power battery managing tracing-back method and device |
| CN106004477A (en) * | 2016-05-20 | 2016-10-12 | 武汉中原弘仁新能源科技有限公司 | Charging pile back-stage management system and method based on big data cloud computing |
| CN110015162A (en) * | 2017-06-30 | 2019-07-16 | 宝沃汽车（中国）有限公司 | Cell health state detection method, device and system and storage medium |
| CN108226805A (en) * | 2018-01-18 | 2018-06-29 | 武汉理工大学 | A kind of cell health state On-line Estimation method based on the charging stage |
| CN109146326A (en) * | 2018-09-17 | 2019-01-04 | 沈阳工程学院 | Dispatching method and system are managed in a kind of campus electric car small station based on data flow |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111162575A (en) | 2020-05-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111162575B (en) | Charging curve updating method and device, cloud server and battery | |
| Kuo et al. | Integration of particle swarm optimization and genetic algorithm for dynamic clustering | |
| Hernandez et al. | A survey on electric power demand forecasting: Future trends in smart grids, microgrids and smart buildings | |
| Ebrahimzadeh et al. | Recognition of control chart patterns using an intelligent technique | |
| US20220043955A1 (en) | Circuit health state prediction method and system based on integrated deep neural network | |
| US20230118702A1 (en) | Method, device and computer readable storage medium for estimating SOC of lithium battery | |
| CN112485692A (en) | Battery health state estimation and residual life prediction method based on sparrow search and least square support vector machine | |
| DE102016008910A1 (en) | A cell control system, manufacturing system, and control method, wherein the control manufacturing cell comprises a plurality of manufacturing machines. | |
| US20220004174A1 (en) | Predictive analytics model management using collaborative filtering | |
| CN111157909B (en) | Electric quantity curve updating method and device, cloud server and battery | |
| Danilin et al. | Determining the fault tolerance of memristorsbased neural network using simulation and design of experiments | |
| CN110399906A (en) | The training method and device of failure modes model based on SVM | |
| Surendar et al. | Estimation of state of charge of a lead acid battery using support vector regression | |
| Koo et al. | Comparative study of short-term electric load forecasting | |
| TWM631494U (en) | Intelligent Power Management Edge Estimation System | |
| Chen et al. | An ensemble feature selection method for short-term electrical load forecasting | |
| Guo et al. | RUL prediction of lithium ion battery based on CEEMDAN-CNN BiLSTM model | |
| CN111106415B (en) | Battery management method and device and cloud server | |
| CN110837889A (en) | Neural network training method and device, storage medium and electronic device | |
| CN111123108B (en) | Battery management method and device, battery and cloud server | |
| CN114386631A (en) | Method and device for rush repair of power load fault and electronic equipment | |
| Xu et al. | Solving logistics distribution center location problem using a wolf pack algorithm | |
| Han et al. | Controller synthesis for discrete-time hybrid polynomial systems via occupation measures | |
| CN113673712B (en) | Method and device for calculating residual electric quantity value, server and storage medium | |
| Fard et al. | Evolutionary short term load forecasting based on ANN: A comparison with the most well-known algorithms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |