CN105789716B - A kind of broad sense battery management system - Google Patents
A kind of broad sense battery management system Download PDFInfo
- Publication number
- CN105789716B CN105789716B CN201610121616.3A CN201610121616A CN105789716B CN 105789716 B CN105789716 B CN 105789716B CN 201610121616 A CN201610121616 A CN 201610121616A CN 105789716 B CN105789716 B CN 105789716B
- Authority
- CN
- China
- Prior art keywords
- battery
- parameter
- management system
- module
- charge
- 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
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Secondary Cells (AREA)
Abstract
The present invention relates to a kind of new energy vehicle and battery energy storage broad sense battery management system, the broad sense battery management system that a kind of local battery management system is combined with running on the off-line state assessment system of distal end big data platform is provided, wherein local battery management system detects battery parameter (voltage, electric current, temperature and charge/discharge capacity) in real time, battery status is estimated according to the battery parameter of detection, judge whether abnormality occur, realize local real-time management of charging and discharging, and the battery parameter of detection is uploaded to distal end big data platform;And off-line state assessment system runs on distal end big data platform, based on the battery history battery parameter and real-time battery parameter stored in database, assess the health status of battery and carry out Risk-warning, charge and discharge control parameter is reset according to the health status of battery, dynamic update management strategy, battery maintenance information is provided, and result is transferred to local battery management system.
Description
Technical field
The present invention relates to the field of battery management of power lithium-ion battery, it is specifically a kind of be suitable for new energy vehicle and
Lithium ion battery stores up usable broad sense battery management system.
Background technology
As the fast development of auto industry and urban population, vehicle increase sharply, the fuel oil of Traffic Systems disappears
Consumption will also increase severely therewith, and the problem of environmental pollution being induced by it is also more serious.In order to tackle the environmental pollution of getting worse and
Energy crisis, the exploitation and popularization of new energy vehicle are extremely urgent.
As the development of intelligent grid and wind-power electricity generation, the extensive of photovoltaic generation distributed energy power generation access power grid,
It is required that in substantial amounts of energy-storage system access power grid.Power battery is as new energy vehicle dynamical system and the core of battery energy storage
Part, the security and high efficiency that its operational reliability runs vehicle and energy-storage system are most important.
Battery management system (Battery Management System, abbreviation BMS) is the monitoring unit of power battery,
It is the core component for ensureing power battery safe and highly efficient operation.Battery management system not only needs to monitor the external variable of battery,
Such as electric current, voltage, temperature, while also tackle state-of-charge (SOC), power rating (SOP) and the health status (SOH) of battery
It is predicted, and management of charging and discharging is carried out to battery, prevents its super-charge super-discharge, ensure the safety of battery system.But current electricity
Pond management system still suffers from following problem:(1) data record redundancy;(2) SOH estimations are difficult;(3) without health control;(4) lack
Safe early warning.
The content of the invention
For problem present in current battery management system, it is an object of the invention to provide a kind of local battery management
System (i.e. traditional vehicle mounted battery management system or battery energy storage battery management system) is with running on distal end big data platform
The broad sense battery management system that is combined of off-line state assessment system, wherein local battery management system detects battery ginseng in real time
Number (voltage, electric current, temperature and charge/discharge capacity), estimates battery status according to the battery parameter of detection, judges whether
There is abnormality, realize local real-time management of charging and discharging, and the battery parameter of detection is uploaded to distal end big data platform;And
Off-line state assessment system runs on distal end big data platform, based on the battery history stored in the big data platform database of distal end
Battery parameter and real-time battery parameter, assess the health status of battery and carry out Risk-warning, according to the health status weight of battery
New settings charge and discharge control parameter, dynamic update management strategy, provides battery maintenance information, and result is transferred to local battery
Management system.
To achieve the above objectives, the present invention adopts the technical scheme that:
A kind of broad sense battery management system, including local battery management system and off-line state assessment system;
The local battery management system is used for battery parameter on-line checking, and charged shape is carried out according to the battery parameter of detection
State and power rating estimation, judge whether battery overvoltage, overcurrent and excess temperature occurs, and real-time charge and discharge fulgurite is carried out to battery system
Reason, and the battery parameter of detection is uploaded to distal end big data platform storage after screening;Meanwhile local battery management system
The assessment result of off-line state assessment system is received, corrects battery characteristics parameter, charge and discharge control parameter and battery management strategy;
The battery parameter includes voltage, electric current, temperature and charge/discharge capacity;The battery characteristics parameter includes each piece
The ohmic internal resistance and polarization resistance of single battery, the internal resistance inconsistency and voltage inconsistency of battery pack;
The off-line state assessment system includes:Battery data storehouse data are sorted out and analysis module, battery characteristics parameter are drilled
Become law-analysing module, battery life degenerated mode, the cell health state evaluation module based on data mining algorithm, discharge and recharge
Control parameter and management strategy dynamic update module, battery pack potential risk early warning and disposal module and assessment result transmission mould
Block;
Off-line state assessment system is based on the battery history battery parameter and reality stored in the big data platform database of distal end
When battery parameter, assess the health status of battery and carry out Risk-warning, while according to cell health state, provide the dimension of battery
Information is protected, resets charge and discharge control parameter, dynamic update management strategy, and result is transferred to local battery management system
System.
On the basis of such scheme, the local battery management system includes battery parameter detection module, state-of-charge
With power rating estimation module, management of charging and discharging module, battery data screening module, battery data uploading module and off-line state
Assessment result receiving module.
On the basis of such scheme, local battery management system gathers battery in charge and discharge process for 1s at timed intervals
The battery parameter of each piece of single battery in group and battery pack, and the data buffer area of local battery management system is temporarily stored in, lead to
The battery data screening module for crossing local battery management system joins the battery of each piece of single battery in battery pack and battery pack
Number is pre-processed, and the battery parameter selected is sent to distal end big data platform after being selected by voltage spaces;Between the voltage
It is divided into 1mV-5mV.
On the basis of such scheme, battery data storehouse data are sorted out and analysis module exists different vehicle by vehicle
The battery parameter of different times is classified, and is therefrom found out corresponding to each piece of single battery in battery pack and battery pack not
Battery parameter of the same period.
On the basis of such scheme, for a certain vehicle, exist to each piece of single battery in its battery pack and battery pack
The battery parameter of different times is analyzed, and extracts battery characteristics parameter;Existed using capacity increment method to each piece of single battery
The battery parameter of different times is analyzed, and extracts the key parameter of incremental capacity plot, and key parameter includes capacity increment
The position at peak, peak area and peak heights in curve.
On the basis of such scheme, battery characteristics described in the battery characteristics parameter evolutions law-analysing module analysis are joined
The key parameter of number and incremental capacity plot is with the development law of cell degradation.
On the basis of such scheme, the cell health state evaluation module based on data mining algorithm is based on battery
Service life degenerated mode and battery characteristics parameter and its development law, using the method for in-situ observation, analyze the aging of inside battery
Reason, and the parameter value of characterization battery positive and negative electrode changes in material and lithium ion loss is provided respectively, finally using mining algorithm pair
The health status of battery is assessed.
On the basis of such scheme, the charge and discharge control parameter and management strategy dynamic update module are according to current electricity
The health status in pond, resets charge and discharge control parameter, and dynamic updates battery management strategy;Charge and discharge control parameter includes
Charging current, charge cutoff voltage, maximum discharge current and depth of discharge.
On the basis of such scheme, the battery pack potential risk early warning and disposal module are commented according to cell health state
Estimate the health status for the battery that module provides, analyze the possibility that cell safety failure occurs, and to as caused by accumulative effect
Security risk carry out early warning, provide corresponding Disposal Strategies, and according to the state difference between each single battery of battery pack, determine
The single battery safeguarded or even replaced is needed, realizes battery pack on-line maintenance.
On the basis of such scheme, the assessment result transport module is used to assessment result be transferred to local battery pipe
Reason system and user.
It is characteristic of the invention that local battery management the battery parameter detected by network transmission to data platform, lead to
Off-line state assessment system is crossed to analyze these data and analysis result is transferred to local battery management system and user.
A kind of broad sense battery management system of the present invention, has the beneficial effect that:
1st, the redundant data recorded at timed intervals to local battery management system pre-processes, and is selected by voltage spaces
Data simultaneously upload to big data platform, and the useful information for remaining battery while significantly reduces data volume, reduces logical
Believe pressure;
2nd, in the present invention local battery management system according to the SOC of the battery real-time parameter On-line Estimation battery of detection and
SOP, and judge battery whether overvoltage, overcurrent and excess temperature, and off-line state assessment system according to the history battery parameter of battery and
Real-time battery parameter, assesses the SOH of battery, realizes the layered shaping of data, reduces the data processing pressure of vehicle-mounted BMS;
3rd, the service life degenerated mode and the feature ginseng of battery that off-line state assessment system is established based on laboratory in the present invention
Number and its development law, finally assess the health status of battery using mining algorithm, from the angle of battery material loss
The internal cause for causing battery life to fail deeply is disclosed, significantly improves SOH estimated accuracies;
4th, the present invention is according to the health status of present battery, resets charge and discharge control parameter and (including charging current, fills
Electric blanking voltage, maximum discharge current and depth of discharge etc.), dynamic updates battery management strategy, realizes the health control of battery,
Extend battery;
5th, the present invention is according to the health status of battery, the possibility that analysis cell safety failure occurs, and to by accumulative effect
Security risk that should be caused carries out early warning, and provides corresponding disposal and maintenance strategy, adds the security that battery uses;
6th, the state difference between present invention energy each monomer of accurate judgement battery pack, determines to need the list for safeguarding even replacement
Body, realizes battery pack on-line maintenance, will substantially reduce cost increase caused by traditional periodic maintenance, reduces maintenance time, together
The utilization rate of Shi Tigao battery packs, extends battery pack service life.
Brief description of the drawings
The present invention has drawings described below:
Fig. 1 broad sense battery management system schematic diagrames;
Fig. 2 off-line state assessment system estimation flows.
Embodiment
The present invention is described in further detail below in conjunction with attached drawing.
Shown in Fig. 1 and 2, a kind of broad sense battery management system proposed by the present invention, including traditional local battery management system
System and off-line state assessment system;
The local battery management system includes all basic function modules of current mainstream battery management system, including electricity
Pond parameter detection module, state-of-charge and power rating estimation module, management of charging and discharging module, but accordingly add cell number
According to screening module, battery data uploading module and off-line state assessment result receiving module.
Local battery management system carries out battery parameter (including voltage, electric current, temperature, charge/discharge capacity) on-line checking,
State-of-charge is carried out according to the battery parameter of detection and power rating estimates and judge whether battery overvoltage, overcurrent and mistake occurs
Temperature, real-time management of charging and discharging is carried out to battery system, and the battery parameter of detection is uploaded to distal end big data after screening
Platform stores;Meanwhile local battery management system receives the assessment result of off-line state assessment system, battery characteristics ginseng is corrected
Number, charge and discharge control parameter and battery management strategy.
The off-line state assessment system includes:Battery data storehouse data are sorted out and analysis module, battery characteristics parameter are drilled
Become law-analysing module, battery life degenerated mode, the cell health state evaluation module based on data mining algorithm, discharge and recharge
Control parameter and management strategy dynamic update module, battery pack potential risk early warning and disposal module and assessment result transmission mould
Block;
Off-line state assessment system is based on the battery history battery parameter and reality stored in the big data platform database of distal end
When battery parameter, assess the health status of battery and carry out Risk-warning, while according to cell health state, provide the dimension of battery
Information is protected, resets charge and discharge control parameter, dynamic update management strategy, and result is transferred to local battery management system
System.
The present invention has the characteristics that data hierarchy processing, and wherein local battery management system is joined in real time according to the battery of detection
The SOC and SOP of number On-line Estimation batteries, and judge battery whether overvoltage, overcurrent and excess temperature;And off-line state assessment system according to
The history battery parameter and real-time battery parameter of battery, assess the SOH of battery and update charge and discharge control parameter and management strategy.
Local battery management system in the present invention, which has concurrently, to be sent data to distal end big data platform and receives off-line state
The function for the data that assessment system is sent.
Local battery management system in the present invention to distal end big data platform send data when, charge and discharge process need to be sent
The battery parameter (voltage, electric current, temperature and charge/discharge capacity) of each piece of single battery in the battery pack and battery pack of middle collection.
Local battery management system is at timed intervals each piece of single battery in battery pack in 1s collection charge and discharge process and battery pack
Battery parameter, and be temporarily stored in the data buffer area of local battery management system, the electricity carried by local battery management system
Pond data screening module carries out the battery parameter of each piece of single battery in the battery pack and battery pack by 1s interval samplings pre-
The battery parameter selected, distal end big data platform is sent to after being selected by voltage spaces by processing, reduces data transfer pressure.Institute
Voltage spaces are stated by user's sets itself, generally 1mV-5mV.
Off-line state assessment system in the present invention runs on distal end big data platform, based on the battery stored in database
History battery parameter and real-time battery parameter, its health status to battery are assessed and carry out Risk-warning.
Off-line state assessment system includes following functions module:
(1) classification of battery data storehouse data and analysis module.This module is by vehicle to the different vehicle of database in difference
The battery parameter in period is classified, and is therefrom found out corresponding to each piece of single battery in battery pack and group in different times
Battery parameter.For a certain vehicle, to each piece of single battery in its battery pack and battery pack in the battery parameter of different times
Analyzed, extract battery characteristics parameter, include the ohmic internal resistance and polarization resistance of each piece of single battery, the internal resistance of battery pack
Inconsistency and voltage inconsistency etc.;It is right using capacity increment method (Increment Capacity Analyze, abbreviation ICA)
Each piece of single battery is analyzed in the battery parameter of different times, and extracts the key parameter of incremental capacity plot, including
The position at peak, area and height etc. in incremental capacity plot.
(2) battery characteristics parameter evolutions law-analysing module.This module analysis battery data storehouse data sort out and analysis mould
The battery characteristics parameter of block extraction and the key parameter of incremental capacity plot are with the development law of cell degradation.
(3) battery life degenerated mode.In order to be assessed cell health state, it is necessary in laboratory to different type
Battery carry out cycle life test and performance test under different condition, including condition of different temperatures, different charging and discharging currents
Multiplying power condition, different depth of discharge conditions and different blanking voltages and abuse conditions, analyze the influence factor of cycle life and build
Vertical battery life degenerated mode.
(4) the cell health state evaluation module based on data mining algorithm.The battery that this module is established based on laboratory
Service life degenerated mode and battery characteristics parameter and its development law, using the method for in-situ observation, analyze the aging of inside battery
Reason, and the parameter value of characterization battery positive and negative electrode changes in material and lithium ion loss is provided respectively, finally using mining algorithm pair
The health status of battery is assessed.
(5) charge and discharge control parameter and management strategy dynamic update module.This module according to the health status of present battery,
For the purpose of the service life for extending battery, reset charge and discharge control parameter (including charging current, charge cutoff voltage,
Maximum discharge current and depth of discharge etc.), and dynamic updates battery management strategy.
(6) early warning of battery pack potential risk and disposal module.This module is provided according to cell health state evaluation module
The health status of battery, analysis cell safety failure occur possibility, and to as add up effect caused by security risk into
Row early warning, provides corresponding Disposal Strategies, and according to the state difference between each single battery of battery pack, determines to need to safeguard even
The single battery of replacement, realizes battery pack on-line maintenance.
(7) assessment result transport module.Assessment result is transferred to local battery management system and user by this module.
Local battery management system according to off-line state assessment system be transmitted through come information, update local charge and discharge control
Parameter and management strategy.The potential risk information and Disposal Strategies that user provides according to off-line state assessment system, to battery pack
Interior carry out security maintenance, excludes security risk.
It is above the preferable specific implementation of the present invention, in addition also has other implementations, it is necessary to illustrate,
On the premise of without departing from present inventive concept, the replacement of any obviously opinion is within the scope of the present invention.
The content not being described in detail in this specification belongs to the prior art known to professional and technical personnel in the field.
Claims (10)
1. a kind of broad sense battery management system, it is characterised in that including local battery management system and off-line state assessment system;
The local battery management system is used for battery parameter on-line checking, according to the battery parameter of detection carry out state-of-charge and
Power rating is estimated, judges whether battery overvoltage, overcurrent and excess temperature occurs, and real-time management of charging and discharging is carried out to battery system, and
The battery parameter of detection is uploaded to distal end big data platform storage after screening;Meanwhile local battery management system receives
The assessment result of off-line state assessment system, corrects battery characteristics parameter, charge and discharge control parameter and battery management strategy;
The battery parameter includes voltage, electric current, temperature and charge/discharge capacity;The battery characteristics parameter includes each piece of monomer
The ohmic internal resistance and polarization resistance of battery, the internal resistance inconsistency and voltage inconsistency of battery pack;
The off-line state assessment system includes:Battery data storehouse data sort out and analysis module, battery characteristics parameter evolutions are advised
Restrain analysis module, battery life degenerated mode, cell health state evaluation module, charge and discharge control based on data mining algorithm
Parameter and management strategy dynamic update module, the early warning of battery pack potential risk and disposal module and assessment result transport module;
Off-line state assessment system electricity based on the battery history battery parameter stored in the big data platform database of distal end and in real time
Pond parameter, assesses the health status of battery and carries out Risk-warning, while according to cell health state, the maintenance for providing battery is believed
Breath, resets charge and discharge control parameter, dynamic update management strategy, and result is transferred to local battery management system.
2. broad sense battery management system as claimed in claim 1, it is characterised in that the local battery management system includes electricity
Pond parameter detection module, state-of-charge and power rating estimation module, management of charging and discharging module, battery data screening module, electricity
Pond data uploading module and off-line state assessment result receiving module.
3. broad sense battery management system as claimed in claim 1, it is characterised in that the local battery management system is temporally
At intervals of the battery parameter of each piece of single battery in battery pack in 1s collection charge and discharge process and battery pack, and it is temporarily stored in local
The data buffer area of battery management system, by the battery data screening module of local battery management system to battery pack and battery
The battery parameter of each piece of single battery is pre-processed in group, and the battery parameter selected is sent to after being selected by voltage spaces
Distal end big data platform;The voltage spaces are 1mV-5mV.
4. broad sense battery management system as claimed in claim 1, it is characterised in that battery data storehouse data are sorted out and divided
Analysis module classifies battery parameter of the different vehicle in different times by vehicle, and therefrom finds out corresponding to battery pack and electricity
Battery parameter of each piece of single battery in different times in the group of pond.
5. broad sense battery management system as claimed in claim 4, it is characterised in that for a certain vehicle, to its battery pack and
Each piece of single battery is analyzed in the battery parameter of different times in battery pack, extracts battery characteristics parameter;Use capacity
Method of addition analyzes each piece of single battery in the battery parameter of different times, and extracts the crucial ginseng of incremental capacity plot
Number, key parameter include position, peak area and the peak heights at peak in incremental capacity plot.
6. broad sense battery management system as claimed in claim 1, it is characterised in that the battery characteristics parameter evolutions rule point
The key parameter of battery characteristics parameter and incremental capacity plot described in module analysis is analysed with the development law of cell degradation.
7. broad sense battery management system as claimed in claim 1, it is characterised in that the battery based on data mining algorithm
Health state evaluation module is based on battery life degenerated mode and battery characteristics parameter and its development law, using in-situ observation
Method, analyzes the senile cause of inside battery, and provides characterization battery positive and negative electrode changes in material and the ginseng of lithium ion loss respectively
Numerical value, finally assesses the health status of battery using mining algorithm.
8. broad sense battery management system as claimed in claim 1, it is characterised in that the charge and discharge control parameter and management plan
Slightly dynamic update module resets charge and discharge control parameter, and dynamic updates cell tube according to the health status of present battery
Reason strategy;Charge and discharge control parameter includes charging current, charge cutoff voltage, maximum discharge current and depth of discharge.
9. broad sense battery management system as claimed in claim 1, it is characterised in that the battery pack potential risk early warning and place
Put the health status for the battery that module is provided according to cell health state evaluation module, the possibility that analysis cell safety failure occurs
Property, and early warning is carried out to the security risk as caused by accumulative effect, corresponding Disposal Strategies are provided, and according to each monomer of battery pack
State difference between battery, determines to need to safeguard the single battery even replaced, realizes battery pack on-line maintenance.
10. broad sense battery management system as claimed in claim 1, it is characterised in that the assessment result transport module is used for
Assessment result is transferred to local battery management system and user.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610121616.3A CN105789716B (en) | 2016-03-03 | 2016-03-03 | A kind of broad sense battery management system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610121616.3A CN105789716B (en) | 2016-03-03 | 2016-03-03 | A kind of broad sense battery management system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105789716A CN105789716A (en) | 2016-07-20 |
CN105789716B true CN105789716B (en) | 2018-04-24 |
Family
ID=56387909
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610121616.3A Active CN105789716B (en) | 2016-03-03 | 2016-03-03 | A kind of broad sense battery management system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105789716B (en) |
Families Citing this family (48)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10447046B2 (en) * | 2016-09-22 | 2019-10-15 | Robert Bosch Gmbh | Secondary battery management system with remote parameter estimation |
CN106487066A (en) * | 2016-11-22 | 2017-03-08 | 深圳市清深科技有限公司 | A kind of remote battery intelligent management system |
CN106597168A (en) * | 2016-12-26 | 2017-04-26 | 上海思致汽车工程技术有限公司 | Method and system for automatically offline calculating the working precision of battery management system |
CN107069122A (en) * | 2017-04-01 | 2017-08-18 | 山东省科学院自动化研究所 | A kind of Forecasting Methodology of electrokinetic cell remaining life |
CN107240726A (en) * | 2017-06-16 | 2017-10-10 | 长沙新材料产业研究院有限公司 | A kind of method for predicting ferric phosphate lithium cell life cycle |
CN107238801A (en) * | 2017-06-16 | 2017-10-10 | 长沙新材料产业研究院有限公司 | A kind of method for predicting lithium battery life cycle |
CN107302112B (en) * | 2017-06-30 | 2020-03-24 | 奇瑞汽车股份有限公司 | Battery grading method |
CN110015162A (en) * | 2017-06-30 | 2019-07-16 | 宝沃汽车(中国)有限公司 | Cell health state detection method, device and system and storage medium |
WO2019018974A1 (en) * | 2017-07-24 | 2019-01-31 | 罗伯特·博世有限公司 | Method and system for performing modeling and estimation of battery capacity |
CN108128191A (en) * | 2017-12-25 | 2018-06-08 | 衢州量智科技有限公司 | The capacity correction method and device of electric automobile lithium battery based on big data |
CN110324382A (en) * | 2018-03-30 | 2019-10-11 | 比亚迪股份有限公司 | Electric car and its data processing system and data processing method |
CN110324383B (en) * | 2018-03-30 | 2021-09-03 | 比亚迪股份有限公司 | Cloud server, electric automobile and management system and method of power battery in electric automobile |
CN110549902A (en) * | 2018-03-30 | 2019-12-10 | 比亚迪股份有限公司 | Cloud server, electric automobile and management system and method of power battery in electric automobile |
CN108802621A (en) * | 2018-05-08 | 2018-11-13 | 中国电力科学研究院有限公司 | A kind of method and system that the state of battery is assessed based on big data |
CN108832199A (en) * | 2018-05-25 | 2018-11-16 | 辰逸腾工业(苏州)有限公司 | A kind of management equipment for lithium battery group |
CN109116242B (en) * | 2018-06-29 | 2021-03-02 | 上海科列新能源技术有限公司 | Data processing method and device for power battery |
CN109065974A (en) * | 2018-07-10 | 2018-12-21 | 太原理工大学 | A kind of battery management system |
CN109375109A (en) * | 2018-10-16 | 2019-02-22 | 宁波工程学院 | A kind of accumulator failure diagnostic method based on data mining |
CN109711007A (en) * | 2018-12-11 | 2019-05-03 | 北京匠芯电池科技有限公司 | The method of power lithium-ion battery security performance Nondestructive |
CN110518299B (en) * | 2019-06-17 | 2022-12-09 | 连恩微电子有限公司 | Battery management system |
CN112186275A (en) * | 2019-07-04 | 2021-01-05 | 北京德意新能科技有限公司 | BMS system based on high in clouds |
CN110749827B (en) * | 2019-12-02 | 2020-10-09 | 山东大学 | Intelligent battery SOC management system and method based on cloud platform |
CN110927591B (en) * | 2019-12-11 | 2020-10-02 | 北京理工大学 | Battery capacity estimation method, computer readable medium and vehicle |
CN111584952B (en) * | 2020-04-17 | 2022-04-08 | 许继集团有限公司 | Method and system for online evaluation of electrochemical cells of energy storage power station |
CN111856284B (en) * | 2020-06-11 | 2023-06-20 | 国网江苏省电力有限公司电力科学研究院 | Failure analysis method and device for energy storage power station battery |
CN111823949B (en) * | 2020-07-23 | 2022-03-18 | 博众精工科技股份有限公司 | Battery pack online health management system and method |
CN111907372A (en) * | 2020-08-13 | 2020-11-10 | 陕西工业职业技术学院 | New energy automobile battery monitoring system |
CN111959281A (en) * | 2020-09-01 | 2020-11-20 | 郑州飞轮威尔实业有限公司 | Electric bicycle battery safety management system based on thing networking |
CN112133972B (en) * | 2020-09-22 | 2022-04-22 | 广州亿航智能技术有限公司 | Battery management system and method and aircraft |
CN112433169B (en) * | 2020-11-25 | 2022-11-29 | 北京理工新源信息科技有限公司 | Cloud power battery health degree evaluation system and method |
CN112465360A (en) * | 2020-12-01 | 2021-03-09 | 北京理工大学前沿技术研究院 | New energy material and secondary battery in-situ characterization big data platform |
CN112550074A (en) * | 2020-12-29 | 2021-03-26 | 河南新晨新能源科技有限公司 | Safety early warning method and monitoring system for internal temperature of electric vehicle battery |
CN112836174B (en) * | 2020-12-31 | 2023-06-09 | 深圳市加码能源科技有限公司 | AHP-based real-time charging safety assessment method and storage medium |
CN112820955A (en) * | 2021-01-29 | 2021-05-18 | 深圳市优博讯科技股份有限公司 | Battery parameter management method, terminal and system |
CN113064939B (en) * | 2021-04-07 | 2023-04-21 | 北京理工大学 | New energy vehicle three-electric system safety feature database construction method |
CN113572161B (en) * | 2021-07-28 | 2023-08-29 | 广东电网有限责任公司 | Energy storage system on-line state monitoring and evaluating method for disaster-resistant and bottom-protected power grid |
CN113829952A (en) * | 2021-09-29 | 2021-12-24 | 华人运通(江苏)技术有限公司 | Battery control method and system of electric automobile and electric automobile |
CN114137357B (en) * | 2021-11-11 | 2024-06-04 | 国网江西省电力有限公司电力科学研究院 | Comprehensive power management method for information interaction type power transmission line on-line monitoring device |
CN114977416A (en) * | 2022-06-14 | 2022-08-30 | 湖北亿纬动力有限公司 | Battery management method, system and computer readable storage medium |
CN114969080A (en) * | 2022-06-15 | 2022-08-30 | 湖北亿纬动力有限公司 | Data updating method, device, system, vehicle, cloud server and medium |
CN115061044A (en) * | 2022-07-04 | 2022-09-16 | 北京电满满科技有限公司 | Lithium battery health assessment method and system based on BMS communication detection technology |
CN115863800A (en) * | 2022-12-26 | 2023-03-28 | 江苏纳通能源技术有限公司 | Passive equalization method based on historical data analysis |
CN116231795B (en) * | 2023-02-11 | 2023-12-22 | 珠海康晋电气股份有限公司 | Comprehensive management control system for distributed storage battery |
CN116455037B (en) * | 2023-06-16 | 2023-09-08 | 苏州妙益科技股份有限公司 | Management control device of hybrid battery, vehicle-mounted power supply management system and method |
CN116683588B (en) * | 2023-08-02 | 2024-01-26 | 深圳市神通天下科技有限公司 | Lithium ion battery charge and discharge control method and system |
CN117851179B (en) * | 2024-01-15 | 2024-06-04 | 上海异工同智信息科技有限公司 | Portable equipment system health state detection and evaluation method and system |
CN117991108B (en) * | 2024-04-07 | 2024-06-18 | 邦邦汽车销售服务(北京)有限公司 | Data-based power battery damage detection method and system |
CN118231818A (en) * | 2024-05-16 | 2024-06-21 | 江西五十铃汽车有限公司 | Power battery management method and system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102142186A (en) * | 2011-03-01 | 2011-08-03 | 合肥国轩高科动力能源有限公司 | Remote monitoring system for lithium battery pack |
CN203573150U (en) * | 2013-11-12 | 2014-04-30 | 广东国光电子有限公司 | Energy storage standby lithium battery information transmission and monitoring system |
CN104348205A (en) * | 2013-07-31 | 2015-02-11 | 杭州锂软科技有限公司 | SOC-SOH (state of charge-state of health)-based distributed BMS (Battery Management System) |
CN104466274A (en) * | 2014-10-20 | 2015-03-25 | 常州格力博有限公司 | Remote battery management system based on GPRS |
CN104699043A (en) * | 2015-02-06 | 2015-06-10 | 无锡雨德智能物联网科技有限公司 | Online storage battery monitoring system |
-
2016
- 2016-03-03 CN CN201610121616.3A patent/CN105789716B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102142186A (en) * | 2011-03-01 | 2011-08-03 | 合肥国轩高科动力能源有限公司 | Remote monitoring system for lithium battery pack |
CN104348205A (en) * | 2013-07-31 | 2015-02-11 | 杭州锂软科技有限公司 | SOC-SOH (state of charge-state of health)-based distributed BMS (Battery Management System) |
CN203573150U (en) * | 2013-11-12 | 2014-04-30 | 广东国光电子有限公司 | Energy storage standby lithium battery information transmission and monitoring system |
CN104466274A (en) * | 2014-10-20 | 2015-03-25 | 常州格力博有限公司 | Remote battery management system based on GPRS |
CN104699043A (en) * | 2015-02-06 | 2015-06-10 | 无锡雨德智能物联网科技有限公司 | Online storage battery monitoring system |
Also Published As
Publication number | Publication date |
---|---|
CN105789716A (en) | 2016-07-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105789716B (en) | A kind of broad sense battery management system | |
CN103057433B (en) | The detection method of the cell of stack battery in electric automobile under duty | |
CN103941210B (en) | The checking monitoring system of a kind of BMS and method thereof | |
CN106100022B (en) | Active equalization battery management system | |
CN106740132A (en) | A kind of electric automobile lithium battery intelligent monitoring management system | |
CN101362427B (en) | Cell management system of electric automobile | |
CN202840547U (en) | Intelligent management system of lithium battery of electric automobile | |
CN104466278A (en) | Online battery detection, repairing and evaluation method | |
CN103698713A (en) | Method for assessing SOH (state of health) of lithium ion battery | |
CN111025168A (en) | Battery health state monitoring device and battery state of charge intelligent estimation method | |
CN105071453A (en) | Battery management system | |
CN102355022A (en) | Lithium-ion battery pack managing system and method | |
CN103364736A (en) | Method for calculating RAC (residual available capacity) of lithium ion battery pack | |
CN202965997U (en) | Detection device for each battery of battery pack in electric automobile in working state | |
CN104391252A (en) | Automobile lead-acid battery health state detection method | |
CN103986205B (en) | 16 series lithium battery group multi-mode balance control methods of dynamic adaptation | |
CN106300548A (en) | A kind of battery intelligent management system | |
CN102437603A (en) | Lithium battery management system balance control method | |
CN107024664A (en) | Lithium battery residual life fast prediction method based on constant-current charge fragment | |
CN202111502U (en) | Battery management device with balanced charge-discharge function | |
CN107618397A (en) | Battery management system | |
CN104391253A (en) | Method for monitoring statuses of storage batteries of transformer substation by using FPGA (field-programmable gate array) | |
CN108646183A (en) | Battery fault diagnosis method in battery pack | |
CN104198942A (en) | Online judging system for invalidation of valve regulated lead acid storage battery | |
CN103084342A (en) | Method for separating secondary batteries |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |