CN103311585B - Health battery management system and method - Google Patents
Health battery management system and method Download PDFInfo
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- CN103311585B CN103311585B CN201210068864.8A CN201210068864A CN103311585B CN 103311585 B CN103311585 B CN 103311585B CN 201210068864 A CN201210068864 A CN 201210068864A CN 103311585 B CN103311585 B CN 103311585B
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- 230000036541 health Effects 0.000 title claims abstract description 84
- 238000000034 method Methods 0.000 title claims abstract description 16
- 239000011159 matrix material Substances 0.000 claims abstract description 49
- 230000003862 health status Effects 0.000 claims abstract description 38
- 230000000052 comparative effect Effects 0.000 claims abstract description 26
- 238000003745 diagnosis Methods 0.000 claims abstract description 22
- 238000007726 management method Methods 0.000 claims description 38
- 230000005540 biological transmission Effects 0.000 claims description 10
- 230000015654 memory Effects 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 abstract description 6
- 238000012423 maintenance Methods 0.000 description 3
- 208000032953 Device battery issue Diseases 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
Classifications
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- 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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/40—Application of hydrogen technology to transportation, e.g. using fuel cells
Abstract
The embodiment of the invention discloses a kind of health battery management system and method, wherein system comprises: data logger, for obtaining the state of health data of battery from charging system, and described state of health data is sent to diagnostic device; Described diagnostic device, for described state of health data being generated fisrt feature matrix according to statistical diagnosis model, and is sent to server by described fisrt feature matrix; And described server, for described fisrt feature matrix and default eigenmatrix being compared, and comparative result being fed back to described diagnostic device, generating the health status report of described battery to make described diagnostic device based on described comparative result.Invention increases the Evaluation accuracy of the health status to battery.
Description
Technical field
The present invention relates to cell art, particularly relate to a kind of health battery management system and method.
Background technology
A large amount of battery using various series and different model in electric automobiles, the health status for electric motor car is estimated, and inevitably needs to carry out failure diagnosis to the battery of electric motor car.
In order to realize carrying out failure diagnosis to the battery of electric motor car, health battery management system of the prior art is assessed by the health status of battery parameter to battery of the register read particular moment of electric motor car inside, because register does not record the historic state of battery, therefore cannot the historic state of reference battery when carrying out health state evaluation to battery, thus can not accurately assess the health status of battery.
Summary of the invention
The embodiment of the present invention provides a kind of health battery management system and method, improves the Evaluation accuracy of the health status to battery.
The embodiment of the present invention provides a kind of health battery management system, and wherein, this health battery management system comprises:
Data logger, for obtaining the state of health data of battery from charging system, and is sent to diagnostic device by described state of health data;
Described diagnostic device, for described state of health data being generated fisrt feature matrix according to statistical diagnosis model, and is sent to server by described fisrt feature matrix; And
Described server, for described fisrt feature matrix and default eigenmatrix being compared, and feeds back to described diagnostic device by comparative result, generates the health status report of described battery to make described diagnostic device based on described comparative result.
The embodiment of the present invention also provides a kind of battery health management method, and wherein, this battery health management method comprises:
Obtain the state of health data of battery from charging system and send;
According to statistical diagnosis model, described state of health data is generated fisrt feature matrix;
Described fisrt feature matrix and default eigenmatrix are compared, obtains comparative result;
The health status report of described battery is generated based on described comparative result.
The health battery management system that the embodiment of the present invention provides and method, by statistical diagnosis model, the state of health data of battery is generated fisrt feature matrix, fisrt feature matrix and default eigenmatrix are compared, generate the health status report of battery according to comparative result, therefore improve the Evaluation accuracy of the health status to battery.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the health battery management system of the embodiment of the present invention;
Fig. 2 is the structured flowchart of the data logger of the embodiment of the present invention;
Fig. 3 is the structured flowchart of the diagnostic device of the embodiment of the present invention;
Fig. 4 is the structured flowchart of the server of the embodiment of the present invention;
Fig. 5 is the flow chart of the battery health management method of the embodiment of the present invention.
Embodiment
Below describe each particular specific embodiment in detail.But below enlightenment is applicable to multitude of different ways.In the present note, similar numeral is used to indicate part similar in accompanying drawing as label.Specific embodiment can realize in multiple comprising in the equipment of computing function.Especially, please note that specific embodiment can be installed or associate with it on the equipment such as database storage system, mobile phone, wireless device, personal data assistants (PDAs), hand-held or portable computer, GPS/navigator, camera, MP3 player, game console, portable electronic piece arrangement for reading, but be not limited only to this.
Only tool is exemplary and tool is not restricted for the parts that note that through illustrating, and can software, hardware and combination thereof form realize.Especially, the special characteristic of the multiple specific embodiment such as accompanying drawing referrer module, system, storage, engine, interface.Note that above-mentioned feature all can software, hardware or firmware form realize.In addition, separately independently feature can be present in single software or hardware respectively parts on or come across in the lump on same parts.
As shown in Figure 1, be the structured flowchart of the health battery management system of the embodiment of the present invention, this health battery management system 200 is connected with the charging system 100 of electric motor car, for diagnosing the health status of the battery of electric motor car.This health battery management system 200 comprises: data logger 201, diagnostic device 202 and server 204.
Wherein, state of health data for obtaining the state of health data of battery from charging system, and is sent to diagnostic device 202 by data logger 201.Fisrt feature matrix for this state of health data being generated fisrt feature matrix according to statistical diagnosis model, and is sent to server 204 by diagnostic device 202.Comparative result for fisrt feature matrix and default eigenmatrix being compared, and is fed back to diagnostic device 202 by server 204, with make diagnostic device 202 based on the comparison result generate battery health status report.The state of health data of battery is generated fisrt feature matrix by statistical diagnosis model by diagnostic device 202, fisrt feature matrix and default eigenmatrix are compared, the health status report of battery is generated according to comparative result, therefore improve the Evaluation accuracy of the health status to battery, thus fault detect, diagnosis and advance notice can be carried out to battery of electric vehicle accurately and efficiently.
Charging system 100 comprises charger 101, battery management system (BMS, BatteryManagement System) 102 and commutator transformer (DC-DC) 103.Charging system 100 and health battery management system 200 are interconnected by Controller Area Network BUS (CANBus, Control Area Network-BUS).
Introduce each equipment in health battery management system 200 below in detail.
As shown in Figure 2, be the structured flowchart of data logger of the embodiment of the present invention.Data logger 201 to be connected with charging system 100 by CAN and to obtain the state of health data of battery of electric vehicle from charging system 100, and automatically by WLAN (wireless local area network) (WLAN, Wireless Local Area Network) or be manually connected with diagnostic device 202 by fast data-link (Fast Data Link), the state of health data of acquisition is sent to diagnostic device 202.
The mode that data logger 201 obtains state of health data from charging system 100 has a variety of, and the present embodiment is in the following manner for example carries out exemplary illustration.This data logger 201 comprises transmission control module 2011, data cache module 2012, data acquisition module 2013 and data transmission blocks 2014.
Wherein, data acquisition module 2013 for being connected with charging system 100 via CAN, and obtains the state of health data of battery from charging system 100; Communicated with diagnostic device 202 by fast data-link in health battery management system 200 inside simultaneously.
Data cache module 2012 provides the memory space of the state of health data of buffer memory battery for BMS 102, the data structure of this state of health data is determined according to diagnosing the concrete statistical diagnosis model that uses.
The state of health data of data cache module 2012 buffer memory for being connected with diagnostic device 202 via WLAN (wireless local area network) or fast data-link, and is sent to diagnostic device 202 by data transmission blocks 2014.
Transmission control module 2011 is all connected with data cache module 2012, data acquisition module 2013 and data transmission blocks 2014, and adopt 32 micro-control unit (MCU, Micro Control Unit) work of control data cache module 2012 and data acquisition module 2013, and the transmission speed of state of health data.
Again as shown in Figure 2, data acquisition module 2013 comprises bridge-jointing unit and interface unit.In the present embodiment, bridge-jointing unit is specifically as follows CAN-USB bridge-jointing unit, and interface unit is specifically as follows USB (USB, Universal Serial Bus)-AT2 interface.Wherein, CAN-USB bridge-jointing unit provides the connection with CAN for data acquisition module 2013, the information from node such as BMS 102 grade received is sent to data cache module 2012 and carries out buffer memory.
The hardware of CAN-USB bridge-jointing unit comprises USB interface and CAN controller.Wherein, USB interface is serial line interface.CAN controller is that data logger 201 provides support with the connection of CAN, and based on CAN protocol, data logger 201 is connected with CAN by this USB interface and then is connected with all parts of charging system 100.
USB-AT2 interface with the form connection data acquisition module 2013 of USB-AT2 interface and data cache module 2012, thus sends the information from BMS 102 or other nodes to data cache module 2012.The scalability of USB-AT2 interface can adapt to dissimilar and various memories that are size.
Again as shown in Figure 3, be the structured flowchart of the diagnostic device 202 of the embodiment of the present invention.Diagnostic device 202 is independent computers installed in such as electric motor car maintenance station, and it is connected with the fast data-link etc. of data logger 201 by WLAN (wireless local area network) or such as USB2.0, thus obtains the state of health data of battery from data logger 201.Diagnostic device 202 is also connected with server 204 by WLAN (wireless local area network).
Diagnostic device 202 can preferably include characteristic extracting module 2021, result-generation module 2022 and report generation module 2023.
Wherein, characteristic extracting module 2021 for obtaining the state of health data of battery from data logger 201, and extracts characteristic from state of health data; This fisrt feature matrix, for this characteristic being generated fisrt feature matrix according to statistical diagnosis model, is then sent to server 204 by result-generation module 2022; Server 204 compares according to the default eigenmatrix in the fisrt feature matrix received and the rule base of self, comparative result is fed back to the report generation module 2023 of diagnostic device 202, so that report generation module 2023 generates the health status report of battery according to comparative result.
Further, the statistical diagnosis mold in the embodiment of the present invention can be Method Using Relevance Vector Machine (RVM, Relevance Vector Machine), and characteristic is specially the input matrix of RVM, and fisrt feature matrix is specially the output matrix of RVM; The dimension of characteristic, fisrt feature matrix can be determined by concrete data characteristics, because RVM is well known to those of ordinary skill in the art, therefore the embodiment of the present invention no longer carries out exemplary illustration to how characteristic to be generated fisrt feature matrix by RVM.
In the present embodiment, it is some or all of that the characteristic that characteristic extracting module 2021 is extracted comprises in the voltage of battery, electric current, power and temperature.The health status report of battery comprises: the battery capacity of battery and charging times.
Preferably, the health battery management system 200 of the present embodiment also comprises display device 203, and the report of the health status of the battery of generation can also be sent to display device 203 and show by diagnostic device 202; Or the health status that display device 203 reads battery by WLAN (wireless local area network) from diagnostic device 202 is reported and shows this report to user.In the present embodiment, charging system 100 can also comprise vehicle-mounted computer, the report of the health status of the battery of generation also can be sent to vehicle-mounted computer by network and show by diagnostic device 202, and driver or maintenance personal have carried out the health status of electrolytic cell by vehicle-mounted computer.
Display device 203 to be connected with diagnostic device 202 by WLAN (wireless local area network) and to have display unit, thus shows the health status report of the battery that diagnostic device 202 generates to user.
As shown in Figure 4, be the structured flowchart of server of the embodiment of the present invention.Server 204 comprises rule base 2041, comparison module 2042 and update module 2043.
Wherein, rule base 2041 for according to the model of battery and type, adopts Machine self-learning mode to generate for the battery of various electric motor car and presets eigenmatrix; Comparative result for fisrt feature matrix and default eigenmatrix being compared, and is sent to diagnostic device 202 by comparison module 2042; Eigenmatrix after merging, for according to presetting the fisrt feature matrix that generated by diagnostic device 202 of weight and default eigenmatrix merges, being updated to default eigenmatrix and being kept in rule base 2041 by update module 2043.
Utilize rule base 2041, server 204 can assist diagnostic device 202 rapidly to generate the health status report for carrying out fault detect, diagnosis and advance notice for various battery of electric vehicle; Further, because fisrt feature matrix is obtained by the data in electric motor car reality, therefore by fisrt feature matrix, default eigenmatrix is upgraded, thus make battery health status report closer to electric motor car in actual use by health state, make the health status of battery report more accurate.
The server 204 of the present embodiment can also comprise human-computer interaction interface, diagnoses and battery health advance notice service for providing online battery failures for electric motor car driver and maintenance personal.
As shown in Figure 5, be the flow chart of the battery health management method of the embodiment of the present invention, the method utilizes above-mentioned health battery management system, mainly comprises the following steps:
Step S101, obtains the state of health data of battery from charging system.
Particularly, data logger 201 obtains the state of health data of battery of electric vehicle from the charger 101, BMS 102, DC-DC 103 etc. of charging system 100 by CAN, after diagnostic device 202 and data logger 201 connect, above-mentioned state of health data is sent to diagnostic device 202 by data logger 201.
Step S102, generates fisrt feature matrix according to statistical diagnosis model by this state of health data.
Particularly, diagnostic device 202 carries out feature extraction to the state of health data received, and according to statistical diagnosis model, the characteristic extracted is generated fisrt feature matrix, then fisrt feature matrix is sent to server 204;
It is some or all of that the characteristic extracted in this step comprises in voltage, electric current, power and temperature.The statistical diagnosis model adopted can be Method Using Relevance Vector Machine.
Step S103, this fisrt feature matrix and default eigenmatrix to be compared, obtain comparative result.
Particularly, fisrt feature matrix and default eigenmatrix according to model and the default eigenmatrix of type generation of battery, then compare, and comparative result are sent to diagnostic device 202 by server 204 in advance; In addition, fisrt feature matrix and default eigenmatrix also merge according to presetting weight by server 204, and the eigenmatrix after merging is updated to default eigenmatrix, and are stored in rule base by the default eigenmatrix after upgrading.
Thus rule base 2041 can store the immediate eigenmatrix with battery status according to the adaptive learning of update module 2043, thus can accurately more eurypalynous battery failures be detected, diagnose and be predicted.
Step S104, based on this comparative result generate battery health status report.
Particularly, diagnostic device 202 generates the health status report of battery according to the comparative result that server 204 sends.
Step S105, by display device by the health status of battery report show.
Preferably, the report of the health status of battery can also be sent to display device 203 and show by the diagnostic device 202 in the present embodiment.
The health battery management system that the embodiment of the present invention provides and method, by statistical diagnosis model, the state of health data of battery is generated fisrt feature matrix, fisrt feature matrix and default eigenmatrix are compared, generate the health status report of battery according to comparative result, therefore improve the Evaluation accuracy of the health status to battery.
This specification the methods and apparatus disclosed are provided for the system and method for the battery health management of electric motor car.One or more steps of any method disclosed herein can be implemented with the order different from shown order and not depart from essence of the present invention and scope.Although method and apparatus disclosed herein may or not introduced with reference to any specific software or hardware, but described method and apparatus introduces in the following manner: which is enough to enable those skilled in the art to adopt required commercially available hardware and software to complete the present invention easily, thus complete embodiments of the invention with using traditional technology without the need to improper test.The known combinations thereof of those skilled in the art all rational combination of non exhaustive and above-mentioned technical characteristic are included in this specification.
Above specification details comprises specific embodiments of the invention.But the text how refinement of notice no matter above specification, the present invention can complete in many ways.As mentioned above, known when describing the aspect of specified features or invention, the use of specific vocabulary should not be considered as defining vocabulary again thus be restricted to and comprise any particular characteristics of technical characteristic or the aspect of the invention relevant with this vocabulary.Therefore, scope of the present invention should be built according to the claim of enclosing and identity file thereof.
When not leaving the scope of the invention, various change can be carried out to above-mentioned specific embodiment.
Claims (13)
1. a health battery management system, is characterized in that, described health battery management system comprises:
Data logger, for obtaining the state of health data of battery from charging system, and is sent to diagnostic device by described state of health data;
Described diagnostic device, for described state of health data being generated fisrt feature matrix according to statistical diagnosis model, and is sent to server by described fisrt feature matrix; And
Described server, for described fisrt feature matrix and default eigenmatrix being compared, and feeds back to described diagnostic device by comparative result, to make described diagnostic device generate the health status report of described battery based on described comparative result,
Wherein, described server comprises:
Rule base, for generating described default eigenmatrix according to the model of described battery and type;
Comparison module, for comparing the described fisrt feature matrix received and described default eigenmatrix and described comparative result sent to described diagnostic device;
Update module, for described fisrt feature matrix and described default eigenmatrix being merged according to presetting weight, is updated to described default eigenmatrix by the eigenmatrix after merging, and is kept in described rule base by the default eigenmatrix after upgrading.
2. health battery management system according to claim 1, is characterized in that, described diagnostic device comprises:
Characteristic extracting module, for extracting characteristic from described state of health data;
Result-generation module, for described characteristic being generated described fisrt feature matrix according to described statistical diagnosis model, and is sent to described server by described fisrt feature matrix; And
Report generation module, for generating the health status report of described battery according to the described comparative result of described server feedback.
3. health battery management system according to claim 2, is characterized in that, it is part or all of that described characteristic comprises in the voltage of described battery, electric current, power and temperature.
4. the health battery management system according to claims 1 to 3 any one, is characterized in that, the health status report of described battery comprises: the battery capacity of described battery and charging times.
5. the health battery management system according to claims 1 to 3 any one, it is characterized in that, described diagnostic device is connected with described data logger by WLAN (wireless local area network) or fast data-link, and described diagnostic device is connected with described server by internet.
6. the health battery management system according to claims 1 to 3 any one, is characterized in that, described data logger comprises:
Data acquisition module, for being connected with described charging system via Controller Area Network BUS, and obtains the state of health data of described battery from described charging system;
Data cache module, for state of health data described in buffer memory;
Data transmission blocks, for being connected with described diagnostic device via WLAN (wireless local area network) or fast data-link, and transfers to described diagnostic device by the state of health data of described data cache module buffer memory; And
Transmission control module, it is all connected with described data acquisition module, described data cache module and described data transmission blocks, for controlling the transmission speed of described state of health data.
7. health battery management system according to claim 6, is characterized in that, described data acquisition module comprises:
Bridge-jointing unit, is connected with described charging system by local area network bus;
Interface unit, is connected with described data cache module, for sending the data got from described charging system to described data cache module.
8. the health battery management system according to claims 1 to 3 any one, is characterized in that, described health battery management system also comprises:
Display device, for showing the report of the health status of described battery.
9. a battery health management method, is characterized in that, described method comprises:
The state of health data of battery is obtained from charging system;
According to statistical diagnosis model, described state of health data is generated fisrt feature matrix;
Described fisrt feature matrix and default eigenmatrix are compared, obtains comparative result;
The health status report of described battery is generated based on described comparative result,
Wherein, describedly described fisrt feature matrix and default eigenmatrix to be compared, the step obtaining comparative result comprises:
According to model and the described default eigenmatrix of type generation of described battery;
Described fisrt feature matrix and described default eigenmatrix are compared, obtains described comparative result;
According to default weight, described fisrt feature matrix and described default eigenmatrix are merged, the eigenmatrix after merging is updated to described default eigenmatrix and preserves.
10. battery health management method according to claim 9, is characterized in that, describedly the step that described state of health data generates fisrt feature matrix is comprised according to statistical diagnosis model:
Characteristic is extracted from described state of health data;
According to described statistical diagnosis model, described characteristic is generated described fisrt feature matrix.
11. battery health management methods according to claim 10, is characterized in that, it is part or all of that described characteristic comprises in the voltage of described battery, electric current, power and temperature.
12. battery health management methods according to claim 9 ~ 11 any one, is characterized in that, the health status report of described battery comprises: the battery capacity of described battery and charging times.
13. battery health management methods according to claim 9 ~ 11 any one, is characterized in that, described generate the step of the health status report of described battery based on described comparative result after also comprise:
The health status report of described battery is shown by display device.
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| CN201210068864.8A CN103311585B (en) | 2012-03-15 | 2012-03-15 | Health battery management system and method |
| TW102104585A TWI517994B (en) | 2012-03-15 | 2013-02-06 | System and method for battery health management |
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| CN201210068864.8A CN103311585B (en) | 2012-03-15 | 2012-03-15 | Health battery management system and method |
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| KR102241683B1 (en) * | 2014-07-30 | 2021-04-19 | 삼성전자주식회사 | Method and apparatus for estimating state of battery |
| US9772383B2 (en) * | 2015-03-04 | 2017-09-26 | Johnson Controls Technology Company | Battery test report system and method |
| US9958509B2 (en) * | 2015-05-29 | 2018-05-01 | Foundation Of Soongsil University-Industry Cooperation | Charger having battery diagnosis function and method of driving the same |
| CN107284257B (en) * | 2017-06-03 | 2019-07-02 | 福建工程学院 | A kind of new-energy automobile charging station system |
| KR20210040721A (en) * | 2019-10-04 | 2021-04-14 | 주식회사 엘지화학 | System and method for diagnosing battery |
| US20230294554A1 (en) * | 2022-03-18 | 2023-09-21 | GM Global Technology Operations LLC | Battery health monitoring and failure identification |
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| CN101022178A (en) * | 2007-03-09 | 2007-08-22 | 清华大学 | Method for estimating nickel-hydrogen power battery charged state based on standard battery model |
| CN201289886Y (en) * | 2008-11-26 | 2009-08-12 | 扬州飞驰动力科技有限公司 | Power battery management system for pure electric automobile |
| CN102183730A (en) * | 2009-12-25 | 2011-09-14 | 株式会社东芝 | Battery diagnosis device and method |
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| CN102472794A (en) * | 2010-03-29 | 2012-05-23 | 松下电器产业株式会社 | Method and apparatus for diagnosing deterioration of secondary battery |
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| CN101022178A (en) * | 2007-03-09 | 2007-08-22 | 清华大学 | Method for estimating nickel-hydrogen power battery charged state based on standard battery model |
| CN201289886Y (en) * | 2008-11-26 | 2009-08-12 | 扬州飞驰动力科技有限公司 | Power battery management system for pure electric automobile |
| CN102183730A (en) * | 2009-12-25 | 2011-09-14 | 株式会社东芝 | Battery diagnosis device and method |
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| TWI517994B (en) | 2016-01-21 |
| TW201336720A (en) | 2013-09-16 |
| CN103311585A (en) | 2013-09-18 |
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