CN114171809A - Vehicle-mounted battery management system, method, server and storage medium based on cloud platform - Google Patents
Vehicle-mounted battery management system, method, server and storage medium based on cloud platform Download PDFInfo
- Publication number
- CN114171809A CN114171809A CN202111402657.7A CN202111402657A CN114171809A CN 114171809 A CN114171809 A CN 114171809A CN 202111402657 A CN202111402657 A CN 202111402657A CN 114171809 A CN114171809 A CN 114171809A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- battery
- cloud platform
- unit
- 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.)
- Pending
Links
- 238000003860 storage Methods 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 title claims description 12
- 238000007726 management method Methods 0.000 claims abstract description 49
- 238000007781 pre-processing Methods 0.000 claims abstract description 30
- 238000013480 data collection Methods 0.000 claims abstract description 19
- 238000013500 data storage Methods 0.000 claims abstract description 19
- 238000010223 real-time analysis Methods 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 18
- 230000004044 response Effects 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 9
- 230000002159 abnormal effect Effects 0.000 claims description 14
- 238000004140 cleaning Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 6
- 238000004321 preservation Methods 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 4
- 230000006855 networking Effects 0.000 claims description 3
- 230000036541 health Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000007621 cluster analysis Methods 0.000 description 1
- 238000011157 data evaluation Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000000178 monomer Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Chemical & Material Sciences (AREA)
- Electrochemistry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Physics & Mathematics (AREA)
- General Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a vehicle-mounted battery management system, a vehicle-mounted battery management method, a server and a storage medium based on a cloud platform. The system comprises a terminal module, a data collection preprocessing module, a big data storage module, a data real-time analysis module and an operation management module. The terminal module is connected with the battery and the vehicle electric component and is used for acquiring electric power related data; the data collection preprocessing module is used for acquiring the power data acquired by the terminal module and preprocessing the data; the big data storage module is used for acquiring the electric power data preprocessed by the data collection preprocessing module and processing the information of the massive data packets in real time through established analysis logic; the data real-time analysis module is used for sinking the data processed by the big data storage module to a database cluster of a data center; the operation management module is used for acquiring the power data in the database cluster, comparing the corresponding power data with the pre-stored characteristics and making corresponding response feedback.
Description
Technical Field
The invention relates to the technical field of batteries, in particular to a vehicle-mounted battery management system and method based on a cloud platform, a server and a storage medium.
Background
With the rapid development of domestic new energy vehicles, the development of Battery Management System (BMS) market faces huge opportunities and challenges. The battery management system is mainly used for improving the utilization rate of the battery, preventing the battery from being overcharged and overdischarged, prolonging the service life of the battery and monitoring the state of the battery. The conventional BMS system realizes the battery SOH prediction method by mining the implicit battery health state information and the evolution law thereof from the rated information and the state monitoring data (voltage, current, temperature, SOC and the like) of the battery, and according to the steps of collecting data, calculating the SOC according to the collected data, cleaning the data, characterizing the data, and establishing an SOH model and a training model. The method has complex early data preparation process and needs a large amount of time, and the method cannot be suitable for calculating the health state of the battery on line.
With the enhancement of a battery management system and the requirement of online real-time battery health state calculation, the cloud trend of data is more and more emphasized. Based on the current situation, by means of the development of a mobile network and a big data technology, battery pack data distributed in each area can be reported to a cloud data center in real time, relevant important data are processed in real time and visualized, system operation management personnel can sense the health state of a certain battery cell in real time, or a decision for battery pack maintenance is made quickly through alarm information sent by a receiving system.
Disclosure of Invention
The invention aims to provide a vehicle-mounted battery management system, a vehicle-mounted battery management method, a vehicle-mounted battery management server and a storage medium based on a cloud platform, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a vehicle-mounted battery management system based on a cloud platform comprises a plurality of terminal modules, a data collection preprocessing module, a big data storage module, a data real-time analysis module and an operation management module. The plurality of terminal modules are connected with the battery and the vehicle electric component and used for acquiring electric power related data and carrying out wireless data transmission with the cloud platform; the data collection preprocessing module is used for acquiring the electric power data acquired by the terminal module and preprocessing the data, and the preprocessing mode comprises the following steps: the real-time message analysis and abnormal data cleaning big data storage module is used for acquiring electric power data preprocessed by the data collection preprocessing module and processing information of a mass data packet in real time through established analysis logic; the data real-time analysis module is used for sinking the data processed by the big data storage module to a database cluster of a data center; the operation management module is used for acquiring the power data in the database cluster, comparing the corresponding power data with the pre-stored characteristics and making corresponding response feedback; the response feedback at least comprises a state query unit for displaying the state of the battery, an alarm early warning unit for alarming when the state of the battery is not good, a data analysis unit for displaying the electric performance of the battery, and a parameter calibration unit for comparing the performance of the existing battery with the factory battery data.
Preferably, the terminal module wirelessly interacts with the cloud platform through a mobile internet of things.
Preferably, the data collection preprocessing module includes a key ID obtaining unit, a group searching unit, a group analyzing unit, and an exception cleaning unit. The key ID acquisition unit is used for receiving the message and reading key ID information according to the acquired content; the grouping searching unit is used for receiving the key ID information acquired by the ID unit and searching the grouping stage information of the heat preservation and the corresponding grouping operation information according to the heat preservation mapping table; the packet analysis unit is used for receiving the packet stage information acquired by the packet search unit and analyzing the content of the message; and the abnormal cleaning unit is used for cleaning the abnormal data analyzed in the grouping analysis unit.
Preferably, the data real-time analysis module adopts a column type storage technology.
Preferably, the data real-time analysis module further comprises an early warning unit, a judgment unit and a storage unit. The early warning unit is used for acquiring corresponding access requirement information; the judging unit is used for acquiring the access requirement information acquired by the early warning unit and comparing the information with information prestored in a database; the storage unit is used for storing the information which is compared by the judging unit and meets the conditions.
Preferably, the data real-time analysis module employs an execution engine of an efficient DAG.
Preferably, the mobile internet of things adopts an intelligent transmission protocol suitable for different network data conditions, and the intelligent transmission protocol comprises deep optimization of TCP and UDP.
The invention further provides a vehicle-mounted battery management method based on the cloud platform, and the method comprises the following steps:
acquiring power data by arranging a plurality of terminal modules on a vehicle and a battery;
the power data sent by the terminal module is acquired through the data collection preprocessing module in a networking mode, and the data are preprocessed;
preprocessing the electric power data through a data real-time analysis module;
processing massive power data information in real time by using established analysis logic through a big data storage module;
sinking the processed data to a database cluster of a data center by a big data storage module;
and acquiring the power data in the database cluster through the operation management module, comparing the corresponding power data with the pre-stored characteristics and making corresponding response feedback.
Preferably, the response feedback includes a function of displaying the battery state, an alarm when the battery state is not good, a function of displaying the battery power performance, and a function of comparing the existing battery performance with factory battery data.
The invention also provides a server which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the computer program, the cloud platform-based vehicle-mounted battery management method is realized.
The invention also provides a storage medium for storing an application program, wherein the application program is used for executing the cloud platform-based vehicle-mounted battery management method.
Compared with the prior art, the invention has the beneficial effects that:
the system is designed according to the existing needs, can acquire various electric power data of the vehicle-mounted battery, analyzes the data, analyzes and alarms the battery performance by comparing the data with standard electric power data, processes the big data in real time and visualizes related important data, and system operation managers can sense the health state of a certain battery monomer in real time and can also make a maintenance decision of the battery pack quickly by receiving alarm information sent by a system.
Drawings
Fig. 1 is a schematic structural diagram of a vehicle-mounted battery management system based on a cloud platform according to the present invention;
FIG. 2 is a management flow chart of a vehicle-mounted battery management method based on a cloud platform according to the present invention;
fig. 3 is a block diagram of a data collection preprocessing module in the cloud platform-based vehicle-mounted battery management system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a vehicle-mounted battery management system based on a cloud platform according to the present invention.
The embodiment provides a vehicle-mounted battery management system based on a cloud platform, and the system comprises a plurality of terminal modules, a data collection preprocessing module, a big data storage module, a data real-time analysis module and an operation management module.
The plurality of terminal modules are connected with the battery and the vehicle electric power component and used for acquiring electric power related data, carrying out wireless data transmission with the cloud platform, acquiring related data information in real time and reporting to the cloud platform through the mobile internet of things. By means of the mobile transmission system on the vehicle-mounted terminal, intelligent transmission protocols which adapt to different network data conditions are utilized, and deep optimization of TCP and UDP is included, so that the bandwidth utilization rate, the transmission response speed, the transmission reliability and the like can be effectively improved under the continuously changing network environment of the Internet, and the real-time performance and the accuracy of battery data reporting are improved.
The data collection preprocessing module is used for acquiring the electric power data acquired by the terminal module and preprocessing the data, and the preprocessing mode comprises the following steps: and analyzing the real-time messages and cleaning abnormal data, and then sending the messages to a downstream real-time stream processing system. The system analyzes the data packet reported by the BMS equipment according to a standard protocol defined by GB/T32960.3-2016 technical Specification for electric vehicle remote service and management System, forms equipment metadata, and persists the equipment data to a big data storage system through a data storage process. The system is constructed by adopting a high-performance and high-concurrency programming framework, and forms a data receiving and processing cluster in a distributed mode, so that the high availability of the system is realized. The method ensures that the reported data of the BMS is completely received without loss, and supports the concurrent reporting data of millions of terminals.
Most of traditional message analysis methods are relatively complex, large in repeated workload and low in working efficiency. The system adopts a key ID reading mode for analysis: after receiving the message, extracting key ID information in the message; according to the ID information of the message, searching in a message mapping table to obtain the packet truncation information and the corresponding packet operation information of the message; and truncating the content part of the message into a plurality of groups according to the searched packet truncation information, and operating the content of each group according to the operation information of each group to realize the analysis of the content. In the cleaning of abnormal data, abnormal values are considered as noise in the preprocessing process of the data and are removed, so that the influence of the abnormal values on the overall data evaluation and analysis mining is avoided. The system comprises a detection model for abnormal data, and cluster analysis is carried out on the abnormal data through the model to distinguish which data are real data abnormal. The data exception state is divided into two types: one is "false exception", which is generated by the operation-specific operation action of the service, and actually reflects the service state normally, but not the abnormal rule of the data itself. One is "true anomalies" which are not due to specific business actions, but rather objectively reflect the distribution cases of the anomalies in the distribution of the data itself.
The big data storage module is used for acquiring the electric power data preprocessed by the data collection preprocessing module and processing the information of the mass data packets in real time through the established analysis logic.
And the data real-time analysis module is used for sinking the data processed by the big data storage module to a database cluster of the data center.
The operation management module is used for acquiring the power data in the database cluster, comparing the corresponding power data with the pre-stored characteristics and making corresponding response feedback. By pulling data in the database cluster, functions of powerful data monitoring, state query, alarm early warning, data analysis, parameter calibration and the like are provided, and the full life cycle management of the battery system is completed.
The response feedback at least comprises a state query unit for displaying the state of the battery, an alarm early warning unit for alarming when the state of the battery is not good, a data analysis unit for displaying the electric performance of the battery, and a parameter calibration unit for comparing the performance of the existing battery with the factory battery data.
The terminal module wirelessly interacts with the cloud platform through the mobile internet of things.
Referring to fig. 3, fig. 3 is a block diagram of a data collection preprocessing module in the cloud platform-based vehicle-mounted battery management system according to the present invention.
The data collection preprocessing module comprises a key ID acquisition unit, a grouping search unit, a grouping analysis unit and an exception cleaning unit. The key ID acquisition unit is used for receiving the message and reading key ID information according to the acquired content; the grouping searching unit is used for receiving the key ID information acquired by the ID unit and searching the grouping stage information of the heat preservation and the corresponding grouping operation information according to the heat preservation mapping table; the packet analysis unit is used for receiving the packet stage information acquired by the packet search unit and analyzing the content of the message; and the abnormal cleaning unit is used for cleaning the abnormal data analyzed in the grouping analysis unit.
The data real-time analysis module adopts a column type storage technology.
The data real-time analysis module further comprises an early warning unit, a judgment unit and a storage unit. The early warning unit is used for acquiring corresponding access requirement information; the judging unit is used for acquiring the access requirement information acquired by the early warning unit and comparing the information with information prestored in a database; the storage unit is used for storing the information which is compared by the judging unit and meets the conditions.
The data real-time analysis module employs an execution engine of an efficient DAG.
The mobile Internet of things adopts an intelligent transmission protocol which is suitable for different network data conditions, and comprises deep optimization of TCP and UDP.
Referring to fig. 2, fig. 2 is a management flowchart of a vehicle-mounted battery management method based on a cloud platform according to the present invention.
The embodiment additionally provides a cloud platform-based vehicle-mounted battery management method, which comprises the following steps:
acquiring power data by arranging a plurality of terminal modules on a vehicle and a battery;
the power data sent by the terminal module is acquired through the data collection preprocessing module in a networking mode, and the data are preprocessed;
preprocessing the electric power data through a data real-time analysis module;
processing massive power data information in real time by using established analysis logic through a big data storage module;
sinking the processed data to a database cluster of a data center by a big data storage module;
and acquiring the power data in the database cluster through the operation management module, comparing the corresponding power data with the pre-stored characteristics and making corresponding response feedback.
The response feedback comprises the functions of displaying the battery state, alarming when the battery state is not good, displaying the power performance of the battery and comparing the performance of the existing battery with factory battery data.
In order to implement the foregoing embodiments, this embodiment further provides a server, which includes a memory, a processor, and a computer program that is stored in the memory and is executable on the processor, and when the processor executes the computer program, the cloud platform-based vehicle-mounted battery management method according to the present invention is implemented.
In order to implement the foregoing embodiments, the present embodiment also provides a storage medium for storing an application program, where the application program is used to execute the cloud platform-based vehicle-mounted battery management method according to the present invention.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. A cloud platform based vehicle-mounted battery management system, the system comprising:
the terminal modules are connected with the battery and the vehicle power component, are used for acquiring power related data and perform wireless data transmission with the cloud platform;
the data collection preprocessing module is used for acquiring the electric power data acquired by the terminal module and preprocessing the data, and the preprocessing mode comprises the following steps: analyzing a real-time message and cleaning abnormal data;
the big data storage module is used for acquiring the electric power data preprocessed by the data collection preprocessing module and processing the information of the massive data packets in real time through established analysis logic;
the data real-time analysis module is used for sinking the data processed by the big data storage module to a database cluster of the data center;
the operation management module is used for acquiring the power data in the database cluster, comparing the corresponding power data with the pre-stored characteristics and making corresponding response feedback;
the response feedback at least comprises a state query unit for displaying the state of the battery, an alarm early warning unit for alarming when the state of the battery is not good, a data analysis unit for displaying the electric performance of the battery, and a parameter calibration unit for comparing the performance of the existing battery with the factory battery data.
2. The cloud platform-based on-board battery management system of claim 1, wherein the terminal module wirelessly interacts with the cloud platform via a mobile internet of things.
3. The cloud platform-based on-board battery management system of claim 1, wherein the data collection preprocessing module comprises:
a key ID acquisition unit, which is used for receiving the message and reading the key ID information according to the acquired content;
the grouping searching unit is used for receiving the key ID information acquired by the ID unit and searching the grouping stage information of the heat preservation and the corresponding grouping operation information according to the heat preservation mapping table;
the packet analysis unit is used for receiving the packet stage information acquired by the packet search unit and analyzing the content of the message;
and an exception cleaning unit for cleaning the exception data analyzed by the packet analysis unit.
4. The cloud platform-based on-board battery management system of claim 1, wherein the data real-time analysis module employs a columnar storage technique.
5. The cloud platform-based on-board battery management system of claim 1, wherein the data real-time analysis module further comprises:
the early warning unit is used for acquiring corresponding access requirement information;
the judging unit is used for acquiring the access requirement information acquired by the early warning unit and comparing the information with information prestored in a database;
and the storage unit is used for storing the information which is compared by the judging unit and meets the conditions.
6. The cloud platform-based on-board battery management system of claim 1, wherein the data real-time analysis module employs an execution engine for efficient DAG.
7. A vehicle-mounted battery management method based on a cloud platform is characterized by comprising the following steps:
acquiring power data by arranging a plurality of terminal modules on a vehicle and a battery;
the power data sent by the terminal module is acquired through the data collection preprocessing module in a networking mode, and the data are preprocessed;
preprocessing the electric power data through a data real-time analysis module;
processing massive power data information in real time by using established analysis logic through a big data storage module;
sinking the processed data to a database cluster of a data center by a big data storage module;
and acquiring the power data in the database cluster through the operation management module, comparing the corresponding power data with the pre-stored characteristics and making corresponding response feedback.
8. The cloud platform based vehicle-mounted battery management method according to claim 7, wherein the response feedback includes a function for displaying a battery state, giving an alarm when the battery state is not good, displaying a battery power performance, and comparing an existing battery performance with factory battery data.
9. A server, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor executes the computer program to implement the cloud platform-based onboard battery management method according to any one of claims 7 to 8.
10. A storage medium for storing an application program for executing the cloud platform-based onboard battery management method according to any one of claims 7 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111402657.7A CN114171809A (en) | 2021-11-24 | 2021-11-24 | Vehicle-mounted battery management system, method, server and storage medium based on cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111402657.7A CN114171809A (en) | 2021-11-24 | 2021-11-24 | Vehicle-mounted battery management system, method, server and storage medium based on cloud platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114171809A true CN114171809A (en) | 2022-03-11 |
Family
ID=80480237
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111402657.7A Pending CN114171809A (en) | 2021-11-24 | 2021-11-24 | Vehicle-mounted battery management system, method, server and storage medium based on cloud platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114171809A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114936211A (en) * | 2022-07-19 | 2022-08-23 | 深圳市星卡软件技术开发有限公司 | Automobile diagnosis data processing method, device, equipment and medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108924236A (en) * | 2018-07-16 | 2018-11-30 | 矩电新能源（苏州）有限公司 | Battery cellular network interactive system and its exchange method |
| CN110416636A (en) * | 2019-06-26 | 2019-11-05 | 北京航空航天大学 | A kind of power battery management system and method based on cloud data management |
| US20190361914A1 (en) * | 2017-03-15 | 2019-11-28 | Fauna, Inc. | Methods and systems for a database |
| US20200050576A1 (en) * | 2018-08-07 | 2020-02-13 | Futurewei Technologies, Inc. | Multi-node zero-copy mechanism for packet data processing |
| CN111934332A (en) * | 2020-07-01 | 2020-11-13 | 浙江华云信息科技有限公司 | Energy storage power station system based on cloud edge cooperation |
-
2021
- 2021-11-24 CN CN202111402657.7A patent/CN114171809A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190361914A1 (en) * | 2017-03-15 | 2019-11-28 | Fauna, Inc. | Methods and systems for a database |
| CN108924236A (en) * | 2018-07-16 | 2018-11-30 | 矩电新能源（苏州）有限公司 | Battery cellular network interactive system and its exchange method |
| US20200050576A1 (en) * | 2018-08-07 | 2020-02-13 | Futurewei Technologies, Inc. | Multi-node zero-copy mechanism for packet data processing |
| CN110416636A (en) * | 2019-06-26 | 2019-11-05 | 北京航空航天大学 | A kind of power battery management system and method based on cloud data management |
| CN111934332A (en) * | 2020-07-01 | 2020-11-13 | 浙江华云信息科技有限公司 | Energy storage power station system based on cloud edge cooperation |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114936211A (en) * | 2022-07-19 | 2022-08-23 | 深圳市星卡软件技术开发有限公司 | Automobile diagnosis data processing method, device, equipment and medium |
| CN114936211B (en) * | 2022-07-19 | 2022-11-01 | 深圳市星卡软件技术开发有限公司 | Automobile diagnosis data processing method, device, equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107133255B (en) | Panoramic security defense method and system for large power grid | |
| CN108347352B (en) | Method for diagnosing performance of information system and equipment in power system | |
| CN114358106A (en) | System anomaly detection method and device, computer program product and electronic equipment | |
| CN112801555B (en) | Vehicle dynamic property comprehensive evaluation method based on Internet of vehicles big data | |
| CN117240887B (en) | Wisdom thing networking energy management platform system | |
| CN114171809A (en) | Vehicle-mounted battery management system, method, server and storage medium based on cloud platform | |
| CN109660396A (en) | A kind of method for monitoring network and device | |
| CN112000548A (en) | Big data component monitoring method and device and electronic equipment | |
| CN113157521B (en) | Monitoring method and monitoring system for block chain full life cycle | |
| CN106649765A (en) | Smart power grid panoramic data analysis method based on big data technology | |
| CN112803587A (en) | Intelligent inspection method for state of automatic equipment based on diagnosis decision library | |
| CN115643108B (en) | Safety assessment method, system and product for industrial Internet edge computing platform | |
| CN106649034A (en) | Visual intelligent operation and maintenance method and platform | |
| CN111381161A (en) | Remote online health state diagnosis method for generator set | |
| CN116910144A (en) | Computing power network resource center, computing power service system and data processing method | |
| CN113858956A (en) | New energy automobile data acquisition and processing method system | |
| CN115222181A (en) | Robot operation state monitoring system and method | |
| CN110503131B (en) | Wind driven generator health monitoring system based on big data analysis | |
| CN114510708A (en) | Real-time data warehouse construction and anomaly detection method, device, equipment and product | |
| CN113285847A (en) | Communication network anomaly detection method and system of intelligent converter station monitoring system | |
| CN111831680A (en) | Electric power data processing system based on big data platform | |
| CN111959281A (en) | Electric bicycle battery safety management system based on thing networking | |
| Peng et al. | Anomaly detection based on multiple streams clustering for train real-time ethernet | |
| CN216901363U (en) | System equipment access module | |
| Li et al. | Application of autonomous monitoring method based on distributed environment deployment in network fault |
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 |