CN116691351B - Intelligent monitoring and management method, device and system for safety of new energy automobile battery - Google Patents
Intelligent monitoring and management method, device and system for safety of new energy automobile battery Download PDFInfo
- Publication number
- CN116691351B CN116691351B CN202310969084.9A CN202310969084A CN116691351B CN 116691351 B CN116691351 B CN 116691351B CN 202310969084 A CN202310969084 A CN 202310969084A CN 116691351 B CN116691351 B CN 116691351B
- Authority
- CN
- China
- Prior art keywords
- battery
- data
- batch
- operation data
- container
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 41
- 238000007726 management method Methods 0.000 title description 11
- 238000004519 manufacturing process Methods 0.000 claims abstract description 37
- 238000004891 communication Methods 0.000 claims abstract description 31
- 238000000034 method Methods 0.000 claims abstract description 25
- 238000012545 processing Methods 0.000 claims description 7
- 238000012797 qualification Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Secondary Cells (AREA)
Abstract
The invention relates to the field of new energy, and discloses a method, a device and a system for intelligent monitoring and management of battery safety of a new energy automobile, comprising the following steps: a front-end battery parameter database is established according to the battery production data, and a batch battery parameter data container is generated; the battery data acquisition module acquires battery operation data and sends the acquired battery operation data to the cloud data server, the cloud data server establishes a batch battery operation data container according to battery batch information in the battery operation data uploaded by the battery data acquisition module, the battery operation data acquired by the battery data acquisition module is transmitted to a batch battery operation data container of a corresponding batch, and the cloud data server disconnects the batch battery operation data container from a batch battery parameter data container of the corresponding batch in a communication manner within a set duration, so that new energy battery safety monitoring is completed. By the technical scheme provided by the invention, the accuracy and the instantaneity of the safety monitoring of the new energy battery can be realized.
Description
Technical Field
The invention relates to the field of new energy, in particular to a method, a device and a system for intelligent monitoring and management of battery safety of a new energy automobile.
Background
With the continuous development of new energy technology, new energy devices such as electric automobiles, electric bicycles, energy storage systems and the like gradually enter the lives of people. As one of the key components of these devices, safety of a new energy battery has been attracting attention. During the operation process of the battery, dangerous situations such as overheat, overcharge, overdischarge, short circuit, battery aging and the like can be generated, so that the battery performance is reduced, and even serious accidents such as fire, explosion and the like can be caused. Therefore, monitoring the state of the new energy battery is an important technical requirement in order to ensure the safety and stability of the new energy battery.
The traditional battery safety monitoring method mainly relies on monitoring single parameters such as a temperature sensor, a voltage sensor, a current sensor and the like, but the method has the following problems: the information is not comprehensive: single parameter monitoring does not fully understand the battery status and may ignore potential safety hazards. Poor real-time performance: the monitoring method has limited response speed and can not timely capture the change of the battery state. Complexity: the conventional monitoring method requires a large number of sensors and a complex data processing system, which increases the cost and complexity of the system.
Therefore, how to improve the accuracy and the real-time performance of the safety monitoring of the new energy battery is a problem that technicians in the current industry need to study.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a new energy automobile battery safety intelligent monitoring and management method, which comprises the following steps:
step one, a front-end battery parameter database is established according to battery production data, a batch battery parameter data container is generated by the front-end battery parameter database according to battery production batches, and batch battery basic data is obtained by the batch battery parameter data container according to the same batch battery production data;
step two, a battery data acquisition module acquires battery operation data and sends the acquired battery operation data to a cloud data server, the cloud data server establishes a batch battery operation data container according to battery batch information in the battery operation data uploaded by the battery data acquisition module, the battery operation data acquired by the battery data acquisition module is transmitted to a batch battery operation data container of a corresponding batch, and when the battery data amount in the batch battery operation data container is not less than a set battery data amount threshold value, step three is entered;
step three, a batch battery operation data container obtains batch battery operation data according to battery operation data acquired by a battery data acquisition module, a cloud data server is used for connecting the batch battery operation data container with a batch battery parameter data container of a corresponding batch in a communication manner, each item of data in the batch battery operation data is respectively compared with each corresponding item of data in batch battery basic data to respectively obtain data deviation, if the data deviation is larger than the corresponding item of data of a set difference threshold value, the step four is entered, otherwise, the step five is entered;
step four, acquiring data deviation of other batch sub-item data, if the data deviation of the other batch sub-item data is not larger than a corresponding set difference threshold value, judging that the batch batteries have faults, and performing fault elimination on the same batch batteries;
if the data deviation of the sub item data of other batches is larger than the corresponding set difference threshold, judging that the production equipment is in fault, and performing fault removal on the production equipment;
and fifthly, in a set time period, if the batch battery operation data container does not receive the battery operation data acquired by the acquisition module any more, the cloud data server disconnects the communication connection between the batch battery operation data container and the batch battery parameter data container of the corresponding batch, and the new energy battery safety monitoring is completed.
Further, the front-end battery parameter database generates a lot battery parameter data container according to battery production lots, and the lot battery parameter data container obtains lot battery basic data according to the same lot battery production data, including:
the batch battery parameter data container is used for storing production data of the same batch battery, including the production quantity, the battery test data and the production qualification rate of the same batch battery; and obtaining the number of the battery numbers according to the production qualification rate and the production number of the batteries in the same batch, numbering the qualified batteries according to the number of the battery numbers, and obtaining the loss rate, the failure rate and the basic output power of the batteries in the same batch according to the battery test data.
Further, the cloud data server establishes a batch battery operation data container according to the battery batch information in the battery operation data uploaded by the battery data acquisition module, and the cloud data server comprises:
the battery data acquisition module sends the acquired battery number and batch information to the cloud data server, the cloud data server judges whether a batch battery operation data container corresponding to the batch information exists according to the batch information, if so, the batch battery operation data container is controlled to be in communication connection with the battery data acquisition module, and the battery data acquisition module sends the acquired battery operation data to the batch battery operation data container;
if the batch battery operation data container corresponding to the batch information does not exist, the cloud data server establishes the batch battery operation data container corresponding to the batch information according to the batch information, controls the batch battery operation data container to be in communication connection with the battery data acquisition module, and the battery data acquisition module sends the acquired battery operation data to the batch battery operation data container.
Further, the battery data amount threshold is: the battery operation data of one serial number of the same batch corresponds to one battery data amount, and the battery operation data of the serial number is set as a battery data amount threshold.
Further, the comparing each sub item data in the running data of the batch battery with each corresponding sub item in the basic data of the batch battery to obtain data deviation respectively, wherein the data deviation comprises: loss rate data deviation, fault rate data deviation and basic output power data deviation of the same batch of batteries.
Further, if the battery operation data container of the batch of batteries no longer receives the battery operation data collected by the collection module within the set time length, the method includes:
the battery pack operation data container no longer receives new battery number information and battery operation data within a set period of time.
The intelligent monitoring and managing device for the safety of the new energy automobile battery comprises a temperature acquisition module, a battery information acquisition module, a communication module and a data processing module; the temperature acquisition module, the battery information acquisition module and the communication module are respectively connected with the data processing module.
The intelligent monitoring and management system for the safety of the battery of the new energy automobile comprises a cloud data server, an intelligent monitoring and management device for the safety of the battery of the new energy automobile, a communication device and a front battery parameter database;
the cloud data server and the intelligent monitoring and management device for the safety of the new energy automobile battery are respectively in communication connection with the communication device; the front-end battery parameter database is in communication connection with the cloud data server.
The beneficial effects of the invention are as follows: according to the technical scheme provided by the invention, the direct connection through the data wiper module and the real-time comparison with the battery factory data can be realized, and the accuracy and the real-time performance of the safety monitoring of the energy battery are realized.
Drawings
FIG. 1 is a schematic flow chart of a method for intelligent monitoring and management of battery safety of a new energy automobile;
fig. 2 is a schematic diagram of a new energy automobile battery safety intelligent monitoring and management system.
Detailed Description
The technical solution of the present invention will be described in further detail with reference to the accompanying drawings, but the scope of the present invention is not limited to the following description.
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The features and capabilities of the present invention are described in further detail below in connection with the examples.
As shown in fig. 1, the intelligent monitoring and management method for the safety of the battery of the new energy automobile comprises the following steps:
step one, a front-end battery parameter database is established according to battery production data, a batch battery parameter data container is generated by the front-end battery parameter database according to battery production batches, and batch battery basic data is obtained by the batch battery parameter data container according to the same batch battery production data;
step two, a battery data acquisition module acquires battery operation data and sends the acquired battery operation data to a cloud data server, the cloud data server establishes a batch battery operation data container according to battery batch information in the battery operation data uploaded by the battery data acquisition module, the battery operation data acquired by the battery data acquisition module is transmitted to a batch battery operation data container of a corresponding batch, and when the battery data amount in the batch battery operation data container is not less than a set battery data amount threshold value, step three is entered;
step three, a batch battery operation data container obtains batch battery operation data according to battery operation data acquired by a battery data acquisition module, a cloud data server is used for connecting the batch battery operation data container with a batch battery parameter data container of a corresponding batch in a communication manner, each item of data in the batch battery operation data is respectively compared with each corresponding item of data in batch battery basic data to respectively obtain data deviation, if the data deviation is larger than the corresponding item of data of a set difference threshold value, the step four is entered, otherwise, the step five is entered;
step four, acquiring data deviation of other batch sub-item data, if the data deviation of the other batch sub-item data is not larger than a corresponding set difference threshold value, judging that the batch batteries have faults, and performing fault elimination on the same batch batteries;
if the data deviation of the sub item data of other batches is larger than the corresponding set difference threshold, judging that the production equipment is in fault, and performing fault removal on the production equipment;
and fifthly, in a set time period, if the batch battery operation data container does not receive the battery operation data acquired by the acquisition module any more, the cloud data server disconnects the communication connection between the batch battery operation data container and the batch battery parameter data container of the corresponding batch, and the new energy battery safety monitoring is completed.
The front-end battery parameter database generates a batch battery parameter data container according to battery production batches, and the batch battery parameter data container obtains batch battery basic data according to the same batch battery production data, and the front-end battery parameter database comprises the following components:
the batch battery parameter data container is used for storing production data of the same batch battery, including the production quantity, the battery test data and the production qualification rate of the same batch battery; and obtaining the number of the battery numbers according to the production qualification rate and the production number of the batteries in the same batch, numbering the qualified batteries according to the number of the battery numbers, and obtaining the loss rate, the failure rate and the basic output power of the batteries in the same batch according to the battery test data.
The cloud data server establishes a batch battery operation data container according to battery batch information in the battery operation data uploaded by the battery data acquisition module, and the cloud data server comprises:
the battery data acquisition module sends the acquired battery number and batch information to the cloud data server, the cloud data server judges whether a batch battery operation data container corresponding to the batch information exists according to the batch information, if so, the batch battery operation data container is controlled to be in communication connection with the battery data acquisition module, and the battery data acquisition module sends the acquired battery operation data to the batch battery operation data container;
if the batch battery operation data container corresponding to the batch information does not exist, the cloud data server establishes the batch battery operation data container corresponding to the batch information according to the batch information, controls the batch battery operation data container to be in communication connection with the battery data acquisition module, and the battery data acquisition module sends the acquired battery operation data to the batch battery operation data container.
The battery data amount threshold is as follows: the battery operation data of one serial number of the same batch corresponds to one battery data amount, and the battery operation data of the serial number is set as a battery data amount threshold.
Comparing each sub item data in the running data of the batch battery with corresponding sub items in the basic data of the batch battery respectively to obtain data deviation, wherein the data deviation comprises the following steps: loss rate data deviation, fault rate data deviation and basic output power data deviation of the same batch of batteries.
And if the batch of battery operation data containers no longer receive the battery operation data acquired by the acquisition module within the set time length, the method comprises the following steps:
the battery pack operation data container no longer receives new battery number information and battery operation data within a set period of time.
The intelligent monitoring and managing device for the safety of the new energy automobile battery comprises a temperature acquisition module, a battery information acquisition module, a communication module and a data processing module; the temperature acquisition module, the battery information acquisition module and the communication module are respectively connected with the data processing module.
As shown in fig. 2, the system for intelligently monitoring and managing the safety of the battery of the new energy automobile comprises a cloud data server, a device for intelligently monitoring and managing the safety of the battery of the new energy automobile, a communication device and a front-end battery parameter database;
the cloud data server and the intelligent monitoring and management device for the safety of the new energy automobile battery are respectively in communication connection with the communication device; the front-end battery parameter database is in communication connection with the cloud data server.
The foregoing is merely a preferred embodiment of the invention, and it is to be understood that the invention is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.
Claims (8)
1. The intelligent monitoring and managing method for the safety of the new energy automobile battery is characterized by comprising the following steps:
step one, a front-end battery parameter database is established according to battery production data, a batch battery parameter data container is generated by the front-end battery parameter database according to battery production batches, and batch battery basic data is obtained by the batch battery parameter data container according to the same batch battery production data;
step two, a battery data acquisition module acquires battery operation data and sends the acquired battery operation data to a cloud data server, the cloud data server establishes a batch battery operation data container according to battery batch information in the battery operation data uploaded by the battery data acquisition module, the battery operation data acquired by the battery data acquisition module is transmitted to a batch battery operation data container of a corresponding batch, and when the battery data amount in the batch battery operation data container is not less than a set battery data amount threshold value, step three is entered;
step three, a batch battery operation data container obtains batch battery operation data according to battery operation data acquired by a battery data acquisition module, a cloud data server is used for connecting the batch battery operation data container with a batch battery parameter data container of a corresponding batch in a communication manner, each item of data in the batch battery operation data is respectively compared with each corresponding item of data in batch battery basic data to respectively obtain data deviation, if the data deviation is larger than the corresponding item of data of a set difference threshold value, the step four is entered, otherwise, the step five is entered;
step four, acquiring data deviation of other batch sub-item data, if the data deviation of the other batch sub-item data is not larger than a corresponding set difference threshold value, judging that the batch batteries have faults, and performing fault elimination on the same batch batteries;
if the data deviation of the sub item data of other batches is larger than the corresponding set difference threshold, judging that the production equipment is in fault, and performing fault removal on the production equipment;
and fifthly, in a set time period, if the batch battery operation data container does not receive the battery operation data acquired by the acquisition module any more, the cloud data server disconnects the communication connection between the batch battery operation data container and the batch battery parameter data container of the corresponding batch, and the new energy battery safety monitoring is completed.
2. The intelligent monitoring and managing method for safety of a battery of a new energy automobile according to claim 1, wherein the pre-battery parameter database generates a lot battery parameter data container according to a battery production lot, and the lot battery parameter data container obtains lot battery basic data according to the same lot battery production data, comprising:
the batch battery parameter data container is used for storing production data of the same batch battery, including the production quantity, the battery test data and the production qualification rate of the same batch battery; and obtaining the number of the battery numbers according to the production qualification rate and the production number of the batteries in the same batch, numbering the qualified batteries according to the number of the battery numbers, and obtaining the loss rate, the failure rate and the basic output power of the batteries in the same batch according to the battery test data.
3. The intelligent monitoring and managing method for battery safety of new energy automobile according to claim 2, wherein the cloud data server establishes a batch battery operation data container according to battery batch information in the battery operation data uploaded by the battery data acquisition module, and the method comprises the following steps:
the battery data acquisition module sends the acquired battery number and batch information to the cloud data server, the cloud data server judges whether a batch battery operation data container corresponding to the batch information exists according to the batch information, if so, the batch battery operation data container is controlled to be in communication connection with the battery data acquisition module, and the battery data acquisition module sends the acquired battery operation data to the batch battery operation data container;
if the batch battery operation data container corresponding to the batch information does not exist, the cloud data server establishes the batch battery operation data container corresponding to the batch information according to the batch information, controls the batch battery operation data container to be in communication connection with the battery data acquisition module, and the battery data acquisition module sends the acquired battery operation data to the batch battery operation data container.
4. The intelligent monitoring and managing method for the safety of the battery of the new energy automobile according to claim 3, wherein the battery data amount threshold is: the battery operation data of one serial number of the same batch corresponds to one battery data amount, and the battery operation data of the serial number is set as a battery data amount threshold.
5. The intelligent monitoring and managing method for the safety of the battery of the new energy automobile according to claim 4, wherein the comparing the data of each sub item in the running data of the batch battery with the corresponding sub item in the basic data of the batch battery respectively to obtain the data deviation, wherein the data deviation comprises: loss rate data deviation, fault rate data deviation and basic output power data deviation of the same batch of batteries.
6. The intelligent monitoring and managing method for battery safety of new energy automobile according to claim 4, wherein if the batch battery operation data container no longer receives the battery operation data collected by the collection module within the set time period, the method comprises:
the battery pack operation data container no longer receives new battery number information and battery operation data within a set period of time.
7. The intelligent monitoring and managing system for the safety of the battery of the new energy automobile is characterized by comprising a cloud data server, an intelligent monitoring and managing device for the safety of the battery of the new energy automobile, a communication device and a front-end battery parameter database, wherein the intelligent monitoring and managing method for the safety of the battery of the new energy automobile is applied to any one of claims 1-6;
the cloud data server and the intelligent monitoring and management device for the safety of the new energy automobile battery are respectively in communication connection with the communication device; the front-end battery parameter database is in communication connection with the cloud data server.
8. The intelligent monitoring and managing system for the safety of the battery of the new energy automobile according to claim 7, wherein the intelligent monitoring and managing device for the safety of the battery of the new energy automobile comprises a temperature acquisition module, a battery information acquisition module, a communication module and a data processing module; the temperature acquisition module, the battery information acquisition module and the communication module are respectively connected with the data processing module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310969084.9A CN116691351B (en) | 2023-08-03 | 2023-08-03 | Intelligent monitoring and management method, device and system for safety of new energy automobile battery |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310969084.9A CN116691351B (en) | 2023-08-03 | 2023-08-03 | Intelligent monitoring and management method, device and system for safety of new energy automobile battery |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116691351A CN116691351A (en) | 2023-09-05 |
| CN116691351B true CN116691351B (en) | 2023-10-17 |
Family
ID=87832498
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310969084.9A Active CN116691351B (en) | 2023-08-03 | 2023-08-03 | Intelligent monitoring and management method, device and system for safety of new energy automobile battery |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116691351B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117803851A (en) * | 2024-03-01 | 2024-04-02 | 成都蓉悦科技有限公司 | Automatic measurement and control device, system and method for data of gas storage station |
| CN117949029A (en) * | 2024-03-26 | 2024-04-30 | 四川并济科技有限公司 | Sensor operation measurement and control method and system based on artificial intelligence |
| CN118170125B (en) * | 2024-05-14 | 2024-07-05 | 四川吉利学院 | Mobile device for diagnosing new energy automobile faults based on embedded AI and diagnosis method |
Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002281687A (en) * | 2001-03-21 | 2002-09-27 | Denso Corp | Charging status control method and device |
| CN102445662A (en) * | 2010-10-13 | 2012-05-09 | 北汽福田汽车股份有限公司 | Single battery information collecting device and battery information collecting system |
| CN102638085A (en) * | 2011-05-31 | 2012-08-15 | 重庆瑞升康博电气有限公司 | Intelligent storage battery charging and management device for electric vehicles |
| JP2013110807A (en) * | 2011-11-18 | 2013-06-06 | Toyota Motor Corp | Power conversion device |
| CN202986849U (en) * | 2012-10-16 | 2013-06-12 | 黄山好时达电动汽车有限公司 | Real-time online processing and monitoring system for main performance parameters of electric automobile |
| CN103434417A (en) * | 2013-08-08 | 2013-12-11 | 广西电网公司电力科学研究院 | Vehicle-mounted intelligent terminal device of electric vehicle |
| CN106453488A (en) * | 2016-08-29 | 2017-02-22 | 广州哲讯智能科技有限公司 | Agricultural product production environment monitoring method and system based on quantum communication |
| CN107719153A (en) * | 2017-09-07 | 2018-02-23 | 浙江吉利汽车研究院有限公司 | Collection plate address automatic allocating method and device in battery management system |
| CN108749607A (en) * | 2018-05-23 | 2018-11-06 | 清华大学深圳研究生院 | A kind of electric automobile power battery management and monitoring system based on cloud computing |
| CN109606120A (en) * | 2019-01-15 | 2019-04-12 | 深圳四海万联科技有限公司 | Electric car course continuation mileage real-time update system and method based on big data |
| CN109786872A (en) * | 2019-03-18 | 2019-05-21 | 北京航空航天大学 | A kind of lithium ion battery thermal runaway early warning system and method |
| CN110341541A (en) * | 2019-06-25 | 2019-10-18 | 张天才 | A kind of new-energy automobile battery management system and application 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 |
| EP3691078A1 (en) * | 2019-02-01 | 2020-08-05 | Sony Corporation | A method for connecting a battery powered device to a server via a battery module powering the device and related device |
| JP2021092464A (en) * | 2019-12-11 | 2021-06-17 | 株式会社日立製作所 | Battery data adjusting method and battery management unit manufacturing method as well as battery management unit and server |
| CN113093041A (en) * | 2021-04-06 | 2021-07-09 | 吴炜 | Battery health state remote data acquisition and diagnosis analysis system of new energy automobile power system |
| CN114879066A (en) * | 2022-05-31 | 2022-08-09 | 合肥国轩高科动力能源有限公司 | Battery pack consistency evaluation method and system |
| CN115284966A (en) * | 2022-07-01 | 2022-11-04 | 安徽比克新动力科技有限公司 | Vehicle power battery state monitoring and recycling system based on block chain |
| CN116502893A (en) * | 2023-05-04 | 2023-07-28 | 安徽南都华拓新能源科技有限公司 | Big data-based production workshop lithium battery batch management system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10320207B2 (en) * | 2016-06-23 | 2019-06-11 | Faraday & Future Inc. | Systems and methods for intelligently charging battery cells |
| US12103428B2 (en) * | 2019-02-15 | 2024-10-01 | Volvo Truck Corporation | Method for management of an energy storage system of a vehicle |
| WO2021192045A1 (en) * | 2020-03-24 | 2021-09-30 | 本田技研工業株式会社 | Information processing device and information processing method |
| CN112428872A (en) * | 2020-10-23 | 2021-03-02 | 蔚来汽车科技(安徽)有限公司 | Vehicle battery management system, method, storage medium, and server system |
| US20230194281A1 (en) * | 2021-12-17 | 2023-06-22 | Caterpillar Inc. | Energy consumption prediction for machine |
-
2023
- 2023-08-03 CN CN202310969084.9A patent/CN116691351B/en active Active
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002281687A (en) * | 2001-03-21 | 2002-09-27 | Denso Corp | Charging status control method and device |
| CN102445662A (en) * | 2010-10-13 | 2012-05-09 | 北汽福田汽车股份有限公司 | Single battery information collecting device and battery information collecting system |
| CN102638085A (en) * | 2011-05-31 | 2012-08-15 | 重庆瑞升康博电气有限公司 | Intelligent storage battery charging and management device for electric vehicles |
| JP2013110807A (en) * | 2011-11-18 | 2013-06-06 | Toyota Motor Corp | Power conversion device |
| CN202986849U (en) * | 2012-10-16 | 2013-06-12 | 黄山好时达电动汽车有限公司 | Real-time online processing and monitoring system for main performance parameters of electric automobile |
| CN103434417A (en) * | 2013-08-08 | 2013-12-11 | 广西电网公司电力科学研究院 | Vehicle-mounted intelligent terminal device of electric vehicle |
| CN106453488A (en) * | 2016-08-29 | 2017-02-22 | 广州哲讯智能科技有限公司 | Agricultural product production environment monitoring method and system based on quantum communication |
| CN107719153A (en) * | 2017-09-07 | 2018-02-23 | 浙江吉利汽车研究院有限公司 | Collection plate address automatic allocating method and device in battery management system |
| CN108749607A (en) * | 2018-05-23 | 2018-11-06 | 清华大学深圳研究生院 | A kind of electric automobile power battery management and monitoring system based on cloud computing |
| CN109606120A (en) * | 2019-01-15 | 2019-04-12 | 深圳四海万联科技有限公司 | Electric car course continuation mileage real-time update system and method based on big data |
| EP3691078A1 (en) * | 2019-02-01 | 2020-08-05 | Sony Corporation | A method for connecting a battery powered device to a server via a battery module powering the device and related device |
| CN109786872A (en) * | 2019-03-18 | 2019-05-21 | 北京航空航天大学 | A kind of lithium ion battery thermal runaway early warning system and method |
| CN110341541A (en) * | 2019-06-25 | 2019-10-18 | 张天才 | A kind of new-energy automobile battery management system and application 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 |
| JP2021092464A (en) * | 2019-12-11 | 2021-06-17 | 株式会社日立製作所 | Battery data adjusting method and battery management unit manufacturing method as well as battery management unit and server |
| CN113093041A (en) * | 2021-04-06 | 2021-07-09 | 吴炜 | Battery health state remote data acquisition and diagnosis analysis system of new energy automobile power system |
| CN114879066A (en) * | 2022-05-31 | 2022-08-09 | 合肥国轩高科动力能源有限公司 | Battery pack consistency evaluation method and system |
| CN115284966A (en) * | 2022-07-01 | 2022-11-04 | 安徽比克新动力科技有限公司 | Vehicle power battery state monitoring and recycling system based on block chain |
| CN116502893A (en) * | 2023-05-04 | 2023-07-28 | 安徽南都华拓新能源科技有限公司 | Big data-based production workshop lithium battery batch management system |
Non-Patent Citations (2)
| Title |
|---|
| 基于机器视觉的太阳能网版缺陷检测;朱勇建;彭柯;漆广文;夏海英;宋树祥;;广西师范大学学报(自然科学版)(第02期);第109-116页 * |
| 纽扣电池表面缺陷检测算法的研究;肖阔华;刘羽;;表面技术(第01期);第133-136页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116691351A (en) | 2023-09-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116691351B (en) | Intelligent monitoring and management method, device and system for safety of new energy automobile battery | |
| CN113064939B (en) | New energy vehicle three-electric system safety feature database construction method | |
| CN108318775B (en) | Method and device for diagnosing battery short-circuit fault on line | |
| CN102474450A (en) | Method and system for distributed energy generator message aggregation | |
| CN111025168A (en) | Battery health state monitoring device and battery state of charge intelligent estimation method | |
| KR20230129953A (en) | Method, device, apparatus, and storage medium for evaluating consistency of vehicle battery cell | |
| CN112406545B (en) | Relay temperature rise monitoring method and device and electric automobile | |
| CN109615273B (en) | Method and system for evaluating state of electric vehicle charging facility | |
| CN114801751A (en) | Automobile battery fault prediction system based on data analysis | |
| CN105882649A (en) | Fault diagnosing method of hybrid electric vehicle | |
| CN116865447B (en) | Distributed wind power and photovoltaic complementary power generation control management method and system | |
| CN106848452A (en) | A kind of electrokinetic cell fault display method and electrokinetic cell fault display device | |
| CN115284966B (en) | Vehicle power battery state monitoring and recycling system based on block chain | |
| CN113366326A (en) | Relay adhesion detection circuit, method and system | |
| CN111707943A (en) | Battery simulation-based electric vehicle charging fault early warning method and system | |
| CN113297033A (en) | Vehicle electric control system health assessment method and system based on cloud monitoring data | |
| CN109455094B (en) | Method and system for automatically identifying battery information of electric automobile | |
| CN107861449A (en) | A kind of management and running key message inspection alarm method and device | |
| CN107415698A (en) | Vehicle circuit running state monitoring method | |
| CN111932097A (en) | Data quality monitoring method and device based on electric vehicle service platform | |
| CN107807325B (en) | Railway track circuit reliability analysis system and method based on multi-state theory | |
| CN117803851A (en) | Automatic measurement and control device, system and method for data of gas storage station | |
| CN117289142A (en) | Method and device for detecting internal short circuit fault of lithium ion energy storage power station battery | |
| CN117033887A (en) | Self-discharge rate calculation method and system for lithium ion battery pack module | |
| CN115940424A (en) | Centralized monitoring and remote capacity checking method for substation direct-current power supply system on centralized control station side |
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 |