CN112327173A - BMS online monitoring method based on Internet of things technology - Google Patents
BMS online monitoring method based on Internet of things technology Download PDFInfo
- Publication number
- CN112327173A CN112327173A CN202011145111.3A CN202011145111A CN112327173A CN 112327173 A CN112327173 A CN 112327173A CN 202011145111 A CN202011145111 A CN 202011145111A CN 112327173 A CN112327173 A CN 112327173A
- Authority
- CN
- China
- Prior art keywords
- parameter
- parameters
- electric quantity
- performance
- measuring
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000005516 engineering process Methods 0.000 title claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims description 18
- 230000000712 assembly Effects 0.000 claims description 6
- 238000000429 assembly Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 230000032683 aging Effects 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 7
- 229910001416 lithium ion Inorganic materials 0.000 description 7
- 229910052739 hydrogen Inorganic materials 0.000 description 4
- 239000001257 hydrogen Substances 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000002687 intercalation Effects 0.000 description 2
- 238000009830 intercalation Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000009831 deintercalation Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003446 memory effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000007774 positive electrode material Substances 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The invention relates to the technical field of battery management systems, and discloses a BMS online monitoring method based on the technology of the Internet of things, which solves the technical problem that effective early warning on a bicycle battery pack is difficult to carry out at present and comprises the following steps: the first step is as follows: collecting electric quantity parameters, breakage parameters, position parameters and performance parameters of a battery management system on each bicycle by using a plurality of groups of measuring components; the second step is that: each measuring component measures an electric quantity parameter, a breakage parameter, a position parameter and a performance parameter and respectively transmits the electric quantity parameter, the breakage parameter, the position parameter and the performance parameter to the host; the third step: comparing the measured actual electric quantity parameter, the measured breakage parameter, the measured position parameter and the measured performance parameter with standard range data in a standard range database; the fourth step: transmitting each stored electric quantity parameter, depreciation parameter, position parameter and performance parameter to the mobile terminal; the fifth step: setting a color marking mode on the mobile terminal; and a sixth step: the battery management system on the bicycle is maintained and managed.
Description
Technical Field
The invention relates to the technical field of battery management systems, in particular to a BMS online monitoring method based on the technology of the Internet of things.
Background
High-performance lithium ion batteries, which are a generic term for batteries using lithium ion intercalation compounds as positive electrode materials, have been rapidly developed in recent decades, and the charge and discharge processes thereof are the intercalation and deintercalation processes of lithium ions. Lithium ion batteries are important components of electric vehicles, electric tools and electric bicycles, which are common in daily life, or in emerging technologies such as new energy power generation and smart power grids, and provide energy for systems or store redundant energy. In the field of high-power application, compared with other types of energy storage batteries, the lithium ion battery has some remarkable advantages, and has the characteristics of high energy density, high power density, long cycle life, environmental protection and the like, and compared with a nickel-hydrogen battery which can be used as a power battery, the single battery cell has higher voltage (about 3 times of the nickel-hydrogen battery), higher power density (about 2 times of the nickel-hydrogen battery), lower self-discharge rate (about half of the nickel-hydrogen battery), and no memory effect.
However, as a secondary battery of an electricity storage tool, a lithium ion battery is more severe in application environment, is most likely to be overcharged and overdischarged during use, and has poor thermal stability, poor consistency, a flat discharge voltage curve, and the like. For example, in an electric vehicle application, tens or even hundreds of batteries are typically required to be connected in series in order to achieve a higher battery voltage. After the batteries are grouped, the inconsistent conditions of parameters such as voltage, capacity and the like of the batteries are more serious than other applications due to the difference of battery materials, processes and later-stage use environments in the groups, if no measures are taken, the inconsistency is further expanded in the later-stage use process, so that part of the batteries work in a limit state for a long time, the capacity is sharply reduced, and the performance of the whole group of batteries is reduced.
Therefore, a Battery Management System (Battery Management System) is generally provided in an application of the lithium ion Battery to reasonably and effectively manage and control the Battery. In addition, it is indispensable to need monitor each item management parameter of battery management system to monitor the running state of group battery, thereby can rationally carry out early warning and adjustment measures next step. Therefore, a reasonable monitoring method for monitoring the battery management system parameters of the battery pack of the electric bicycle is required.
Disclosure of Invention
Aiming at the technical problem that no reasonable battery pack monitoring method exists at present and effective early warning and next adjustment measures are difficult to be carried out on the bicycle battery pack, the invention monitors the electric quantity parameter, the breakage parameter, the position parameter and the performance parameter of the bicycle battery management system and finally displays the parameters on the mobile terminal so as to achieve the aim that a worker can timely maintain and manage the battery management system on the bicycle by using the parameter data measured by monitoring.
In order to achieve the purpose, the invention provides the following technical scheme:
a BMS online monitoring method based on the technology of the Internet of things comprises the following steps:
the first step is as follows: collecting electric quantity parameters, breakage parameters, position parameters and performance parameters of a battery management system on each bicycle by utilizing a plurality of groups of measuring assemblies, wherein the measuring assemblies correspond to the battery management systems one by one;
the second step is that: the host computer and each measuring assembly are connected wirelessly (applicable to small-range movement), wirelessly (applicable to factory production testing) or wirelessly (applicable to large-range movement) so that each measuring assembly can respectively transmit measured electric quantity parameters, breakage parameters, position parameters and performance parameters to the host computer and store the parameters in a storage medium of the host computer;
the third step: establishing a standard range database of each electric quantity parameter, depreciation parameter, position parameter and performance parameter in the host, and comparing, screening and distinguishing the measured actual electric quantity parameter, depreciation parameter, position parameter and performance parameter with standard range data in the standard range database: normal parameters and abnormal parameters;
the fourth step: establishing local communication or wireless connection between the host and the mobile terminal, so that the host can transmit normal parameters and abnormal parameters in various stored electric quantity parameters, breakage parameters, position parameters and performance parameters to the mobile terminal for a manager to read;
the fifth step: setting a color marking mode on the mobile terminal, marking the abnormal parameters in a dark color, and normally displaying the normal parameters in a light color;
and a sixth step: the staff utilizes the parameter data that this monitoring was surveyed, in time maintains and manages the battery management system on the bicycle.
Through the technical scheme, the electric quantity parameter, the breakage parameter, the position parameter and the performance parameter of the bicycle battery management system are monitored and finally displayed on the mobile terminal, so that the aim of timely maintaining and managing the bicycle battery management system by using the parameter data measured by monitoring by a worker is fulfilled. The main machine is in wireless data connection with each measuring component, and the device is mainly suitable for small-range movement among bicycles; the method comprises the following steps of performing wired data connection on a host and each measuring component, and is mainly suitable for a bicycle battery management system in a factory production test stage; the host computer is in local area network communication connection with each measuring component, and the bicycle is mainly suitable for large-scale movement of the bicycle, so that each measuring component can transmit measured electric quantity parameters, breakage parameters, position parameters and performance parameters to the host computer respectively and store the parameters in a host computer storage medium.
The invention is further configured to: the electric quantity parameters comprise a full electric quantity parameter, a residual electric quantity parameter and a lowest amount electric quantity parameter;
the breaking parameters comprise circuit short circuit parameters, circuit open circuit parameters and circuit aging parameters;
the position parameters comprise space region position parameters and time domain position parameters;
the performance parameters are a current parameter, a voltage parameter, an impedance parameter and a temperature parameter.
Through above-mentioned technical scheme, record above parameter, especially break parameter and position parameter, made things convenient for the bicycle trade company to the management of bicycle greatly, improved the managerial efficiency, reduced the manual management cost.
The invention is further configured to: the measuring component for measuring the electric quantity parameter is configured as an electric quantity testing instrument;
the measuring component for measuring the breaking parameters is configured as an ammeter and a voltmeter;
the measuring component for measuring the position parameters is configured as a GPS antenna and a clock;
the measuring components for measuring the performance parameters are configured as an ammeter, a voltmeter and a thermometer.
Through the technical scheme, the measuring function is realized by utilizing the instruments, of course, the measuring function can be realized by utilizing the instruments, and the measurement of each parameter can be completed by utilizing other testing instruments, sensors and other components.
The invention is further configured to: comparing, screening and distinguishing the measured actual electric quantity parameter, the breakage parameter, the position parameter and the performance parameter with standard range data in a standard range database: the normal parameters and the abnormal parameters are operated by a single chip microcomputer arranged in the host.
Through the technical scheme, the single chip microcomputer can complete logical operation and realize a logical operation function, so that the measured actual electric quantity parameter, the measured breakage parameter, the measured position parameter and the measured performance parameter can be rapidly compared with standard range data in a standard range database.
The invention is further configured to: and the standard range database is used for calling when logic judgment is carried out.
The invention is further configured to: the battery management systems on the bicycles are distributed at different spatial geographical locations.
Through the technical scheme, the bicycles are generally distributed on streets in cities and regions, and the positions of the bicycles are very disordered.
The invention is further configured to: the color marking mode is that the abnormal parameters are marked by red and the normal parameters are displayed by light green.
The invention is further configured to: the color marking mode is that a flashing red is used for marking abnormal parameters, and a static light green is used for displaying normal parameters.
In conclusion, the invention has the following beneficial effects:
(1) the invention aims to monitor a bicycle battery management system with an indefinite position;
(2) the bicycle management system has the advantages that bicycle management of bicycle merchants is greatly facilitated, management efficiency is improved, and labor management cost is reduced.
Drawings
Fig. 1 is a schematic block diagram of an online monitoring method.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited to these examples.
A BMS online monitoring method based on internet of things technology, shown in fig. 1, includes the following steps:
the first step is as follows: collecting electric quantity parameters, breakage parameters, position parameters and performance parameters of a battery management system on each bicycle by utilizing a plurality of groups of measuring assemblies, wherein the measuring assemblies correspond to the battery management systems one by one;
the second step is that: the host computer is in wireless data connection, wired data connection or local area network communication connection with each measuring component, so that each measuring component can respectively transmit the measured electric quantity parameter, the breakage parameter, the position parameter and the performance parameter to the host computer and store the parameters in a storage medium of the host computer;
the third step: establishing a standard range database of each electric quantity parameter, depreciation parameter, position parameter and performance parameter in the host, and comparing, screening and distinguishing the measured actual electric quantity parameter, depreciation parameter, position parameter and performance parameter with standard range data in the standard range database: normal parameters and abnormal parameters;
the fourth step: establishing local communication or wireless connection between the host and the mobile terminal, so that the host can transmit normal parameters and abnormal parameters in various stored electric quantity parameters, breakage parameters, position parameters and performance parameters to the mobile terminal for a manager to read;
the fifth step: setting a color marking mode on the mobile terminal, marking the abnormal parameters in a dark color, and normally displaying the normal parameters in a light color;
and a sixth step: the staff utilizes the parameter data that this monitoring was surveyed, in time maintains and manages the battery management system on the bicycle.
The electric quantity parameters comprise a full electric quantity parameter, a residual electric quantity parameter and a lowest amount electric quantity parameter;
the breaking parameters comprise circuit short circuit parameters, circuit open circuit parameters and circuit aging parameters;
the position parameters comprise space region position parameters and time domain position parameters;
the performance parameters are a current parameter, a voltage parameter, an impedance parameter and a temperature parameter.
The measuring component for measuring the electric quantity parameter is configured as an electric quantity testing instrument;
the measuring component for measuring the breaking parameters is configured as an ammeter and a voltmeter;
the measuring component for measuring the position parameters is configured as a GPS antenna and a clock;
the measuring components for measuring the performance parameters are configured as an ammeter, a voltmeter and a thermometer.
Comparing, screening and distinguishing the measured actual electric quantity parameter, the breakage parameter, the position parameter and the performance parameter with standard range data in a standard range database: the normal parameters and the abnormal parameters are operated by a single chip microcomputer arranged in the host.
And the standard range database is used for calling when logic judgment is carried out.
A battery management system on the bicycle.
The color marking mode is that the abnormal parameters are marked by red and the normal parameters are displayed by light green.
The color marking mode is that a flashing red is used for marking abnormal parameters, and a static light green is used for displaying normal parameters.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (8)
1. A BMS online monitoring method based on the technology of the Internet of things is characterized by comprising the following steps:
the first step is as follows: collecting electric quantity parameters, breakage parameters, position parameters and performance parameters of a battery management system on each bicycle by utilizing a plurality of groups of measuring assemblies, wherein the measuring assemblies correspond to the battery management systems one by one;
the second step is that: the host computer is in wireless data connection, wired data connection or local area network communication connection with each measuring component, so that each measuring component can respectively transmit the measured electric quantity parameter, the breakage parameter, the position parameter and the performance parameter to the host computer and store the parameters in a storage medium of the host computer;
the third step: establishing a standard range database of each electric quantity parameter, depreciation parameter, position parameter and performance parameter in the host, and comparing, screening and distinguishing the measured actual electric quantity parameter, depreciation parameter, position parameter and performance parameter with standard range data in the standard range database: normal parameters and abnormal parameters;
the fourth step: establishing local communication or wireless connection between the host and the mobile terminal, so that the host can transmit normal parameters and abnormal parameters in various stored electric quantity parameters, breakage parameters, position parameters and performance parameters to the mobile terminal for a manager to read;
the fifth step: setting a color marking mode on the mobile terminal, marking the abnormal parameters in a dark color, and normally displaying the normal parameters in a light color;
and a sixth step: the staff utilizes the parameter data that this monitoring was surveyed, in time maintains and manages the battery management system on the bicycle.
2. The BMS online monitoring method based on the Internet of things technology as claimed in claim 1, wherein:
the electric quantity parameters comprise a full electric quantity parameter, a residual electric quantity parameter and a lowest amount electric quantity parameter;
the breaking parameters comprise circuit short circuit parameters, circuit open circuit parameters and circuit aging parameters;
the position parameters comprise space region position parameters and time domain position parameters;
the performance parameters are a current parameter, a voltage parameter, an impedance parameter and a temperature parameter.
3. The BMS online monitoring method based on the Internet of things technology as claimed in claim 2, wherein:
the measuring component for measuring the electric quantity parameter is configured as an electric quantity testing instrument;
the measuring component for measuring the breaking parameters is configured as an ammeter and a voltmeter;
the measuring component for measuring the position parameters is configured as a GPS antenna and a clock;
the measuring components for measuring the performance parameters are configured as an ammeter, a voltmeter and a thermometer.
4. The BMS online monitoring method based on the Internet of things technology as claimed in claim 1, wherein: comparing, screening and distinguishing the measured actual electric quantity parameter, the breakage parameter, the position parameter and the performance parameter with standard range data in a standard range database: the normal parameters and the abnormal parameters are operated by a single chip microcomputer arranged in the host.
5. The BMS online monitoring method based on the Internet of things technology as claimed in claim 1, wherein: and the standard range database is used for calling when logic judgment is carried out.
6. The BMS online monitoring method based on the Internet of things technology as claimed in claim 1, wherein: the battery management systems on the bicycles are distributed at different spatial geographical locations.
7. The BMS online monitoring method based on the Internet of things technology as claimed in claim 1, wherein: the color marking mode is that the abnormal parameters are marked by red and the normal parameters are displayed by light green.
8. The BMS online monitoring method based on the Internet of things technology as claimed in claim 1, wherein: the color marking mode is that a flashing red is used for marking abnormal parameters, and a static light green is used for displaying normal parameters.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011145111.3A CN112327173A (en) | 2020-10-23 | 2020-10-23 | BMS online monitoring method based on Internet of things technology |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011145111.3A CN112327173A (en) | 2020-10-23 | 2020-10-23 | BMS online monitoring method based on Internet of things technology |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112327173A true CN112327173A (en) | 2021-02-05 |
Family
ID=74311605
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011145111.3A Pending CN112327173A (en) | 2020-10-23 | 2020-10-23 | BMS online monitoring method based on Internet of things technology |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112327173A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116399402A (en) * | 2023-04-18 | 2023-07-07 | 南京晓庄学院 | Fault early warning system of wireless sensor for ecological environment monitoring |
CN117293418A (en) * | 2023-05-04 | 2023-12-26 | 北京云控安创信息技术有限公司 | Internet of things battery repair management method, device, equipment and storage medium |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20130036817A (en) * | 2011-10-05 | 2013-04-15 | 주식회사 엘지화학 | Method for determining path for vehicle and navigation apparatus |
CN104767001A (en) * | 2015-04-22 | 2015-07-08 | 北京紫光瑞控科技有限公司 | Battery management system |
US20150340888A1 (en) * | 2014-05-23 | 2015-11-26 | Infineon Technologies Ag | Battery management system |
CN205210212U (en) * | 2015-12-07 | 2016-05-04 | 武汉力神动力电池系统科技有限公司 | Battery management system's test system |
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 |
CN105904986A (en) * | 2016-04-26 | 2016-08-31 | 深圳市德传技术有限公司 | Remote battery management and detection method and system for new-energy vehicle |
CN107167677A (en) * | 2017-04-27 | 2017-09-15 | 广东机电职业技术学院 | Simulating test device and method of testing for battery management system |
CN206975187U (en) * | 2017-06-14 | 2018-02-06 | 宁德时代新能源科技股份有限公司 | Battery test system |
CN110027416A (en) * | 2019-04-01 | 2019-07-19 | 广州小鹏汽车科技有限公司 | A kind of electricity consumption adjusting method and Vehicular battery management system |
-
2020
- 2020-10-23 CN CN202011145111.3A patent/CN112327173A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20130036817A (en) * | 2011-10-05 | 2013-04-15 | 주식회사 엘지화학 | Method for determining path for vehicle and navigation apparatus |
US20150340888A1 (en) * | 2014-05-23 | 2015-11-26 | Infineon Technologies Ag | Battery management system |
CN104767001A (en) * | 2015-04-22 | 2015-07-08 | 北京紫光瑞控科技有限公司 | Battery management system |
CN205210212U (en) * | 2015-12-07 | 2016-05-04 | 武汉力神动力电池系统科技有限公司 | Battery management system's test system |
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 |
CN105904986A (en) * | 2016-04-26 | 2016-08-31 | 深圳市德传技术有限公司 | Remote battery management and detection method and system for new-energy vehicle |
CN107167677A (en) * | 2017-04-27 | 2017-09-15 | 广东机电职业技术学院 | Simulating test device and method of testing for battery management system |
CN206975187U (en) * | 2017-06-14 | 2018-02-06 | 宁德时代新能源科技股份有限公司 | Battery test system |
CN110027416A (en) * | 2019-04-01 | 2019-07-19 | 广州小鹏汽车科技有限公司 | A kind of electricity consumption adjusting method and Vehicular battery management system |
Non-Patent Citations (1)
Title |
---|
金鑫: "AGV小车无线充电装置的设计", 《黄冈职业技术学院学报》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116399402A (en) * | 2023-04-18 | 2023-07-07 | 南京晓庄学院 | Fault early warning system of wireless sensor for ecological environment monitoring |
CN116399402B (en) * | 2023-04-18 | 2024-01-23 | 南京晓庄学院 | Fault early warning system of wireless sensor for ecological environment monitoring |
CN117293418A (en) * | 2023-05-04 | 2023-12-26 | 北京云控安创信息技术有限公司 | Internet of things battery repair management method, device, equipment and storage medium |
CN117293418B (en) * | 2023-05-04 | 2024-04-19 | 北京云控安创信息技术有限公司 | Internet of things battery repair management method, device, equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN116420087B (en) | Current testing of cells in a multi-cell battery | |
CN107797073A (en) | Dynamic lithium battery group real-time monitoring system and its monitoring method | |
CN105789716A (en) | Generalized battery management system | |
CN106532164A (en) | Machine room lead acid battery on-line monitoring management system and method | |
CN207440262U (en) | Dynamic lithium battery group real-time monitoring system | |
CN112327173A (en) | BMS online monitoring method based on Internet of things technology | |
CN110323508B (en) | Recovery system and method for power battery in electric automobile | |
CN102565711A (en) | Method for testing voltage condition of battery pack | |
CN105059130B (en) | The electrokinetic cell repair system of electric automobile | |
CN202111491U (en) | Power cell remote monitoring control system | |
CN104237802A (en) | Detection method for low-temperature performance uniformity of lithium ion batteries | |
CN105044616A (en) | Lithium battery detection method | |
CN111509319A (en) | PHM management system for energy storage power supply | |
CN106848452A (en) | A kind of electrokinetic cell fault display method and electrokinetic cell fault display device | |
US20200036057A1 (en) | System for implementing real-time monitoring and dynamic repair of remotely controlled battery pack based on remote sensing technology | |
CN102916232A (en) | Method and system for on-line maintenance of storage battery | |
CN111129628A (en) | Control method, system, medium and electronic device for charging and discharging of lithium ion battery cell | |
CN113442793A (en) | Intelligent monitoring system and method for lithium battery pack | |
Oeser | From the production of the single cell to the end of life of the battery module: the development of parameter variation of lithium-ion cells | |
CN116754976A (en) | Intelligent battery residual electric quantity estimation system | |
WO2012026574A1 (en) | Storage-battery information management device | |
Venkatapathy et al. | A systematic identification of first to second life shift-point of lithium-ion batteries | |
Yao et al. | Reconfigurable battery systems: A survey on research challenges | |
CN115832464A (en) | Battery system fault processing method and device, computer equipment and medium | |
CN212302539U (en) | Lithium ion battery full life cycle monitoring traceability system |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210205 |
|
RJ01 | Rejection of invention patent application after publication |