CN105789716A - Generalized battery management system - Google Patents
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- 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
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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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Abstract
The invention relates to a generalized battery management system for energy storage of new energy vehicles and batteries and provides a generalized battery management system of combining a local battery management system and an offline state evaluation system which runs on a remote big data platform, wherein the local battery management system detects battery parameters (a voltage, a current, a temperature and charge-discharge capacity) in real time, estimates the battery state according to the detected battery parameters, judges whether an abnormal state appears or not, achieves local real-time charge-discharge management and uploads the detected battery parameters to the remote big data platform; and the offline state evaluation system runs on the remote big data platform, estimates the health state of the battery and carries out risk pre-warning according to the historical battery parameters stored in a database and the real-time battery parameters, resets charge-discharge control parameters according to the health state of the battery, dynamically updates a management strategy, gives battery maintenance information and transmits the result to the local battery management system.
Description
Technical field
The present invention relates to the field of battery management of power lithium-ion battery, specifically a kind of broad sense battery management system suitable in new energy vehicle and lithium ion battery energy storage.
Background technology
Along with the fast development of auto industry and urban population, the increasing sharply of vehicle, the fuel oil consumption of Traffic Systems also will increase severely therewith, and the problem of environmental pollution being induced by is also more serious.In order to tackle day by day serious environmental pollution and energy crisis, the exploitation of new energy vehicle and universal extremely urgent.
Along with the development of intelligent grid and wind-power electricity generation, the generating of the photovoltaic generation distributed energy extensively access electrical network, it is desirable to substantial amounts of energy-storage system accesses in electrical network.Electrokinetic cell is as the core component of new energy vehicle dynamical system and battery energy storage, and safety and high efficiency that vehicle and energy-storage system are run by its operational reliability are most important.
Battery management system (BatteryManagementSystem is called for short BMS) is the monitoring unit of electrokinetic cell, is to ensure that the core component of electrokinetic cell safe and highly efficient operation.Battery management system not only needs the external variable of monitoring battery, such as electric current, voltage, temperature etc., also tackle the state-of-charge (SOC) of battery, power rating (SOP) and health status (SOH) to be predicted simultaneously, and battery is carried out management of charging and discharging, prevent its super-charge super-discharge, ensure the safety of battery system.But current battery management system still suffers from following problem: (1) data record redundancy；(2) SOH estimates difficulty；(3) without health control；(4) safe early warning is lacked.
Summary of the invention
For Problems existing in current battery management system, the broad sense battery management system that the off-line state assessment system that it is an object of the invention to provide a kind of local battery management system (namely traditional vehicle mounted battery management system or battery energy storage battery management system) and run on the big data platform of far-end combines, wherein local battery management system detects battery parameter (voltage in real time, electric current, temperature and charge/discharge capacity), battery status is estimated by the battery parameter according to detection, judge whether that abnormality occurs, realize local management of charging and discharging in real time, and the battery parameter of detection is uploaded to the big data platform of far-end；And off-line state assessment system runs on the big data platform of far-end, based on the battery history battery parameter stored in far-end big data platform data base and real-time battery parameter, assess the health status of battery and carry out Risk-warning, health status according to battery resets charge and discharge control parameter, dynamic update management strategy, provide battery maintenance information, and result is transferred to local battery management system.
For reaching object above, the present invention adopts the technical scheme that:
A kind of broad sense battery management system, manages system and off-line state assessment system including local battery；
Described local battery management system is for battery parameter on-line checking, battery parameter according to detection carries out state-of-charge and power rating is estimated, judge whether battery overvoltage occurs, cross stream and excess temperature, battery system is carried out real-time management of charging and discharging, and the battery parameter of detection is uploaded to the big data platform storage of far-end after screening；Meanwhile, local battery management system receives the assessment result of off-line state assessment system, revises battery characteristics parameter, charge and discharge control parameter and battery management strategy；
Described battery parameter includes voltage, electric current, temperature and charge/discharge capacity；Described battery characteristics parameter includes ohmic internal resistance and the polarization resistance of each piece of cell, the internal resistance discordance of set of cells and voltage discordance；
Described off-line state assessment system includes: battery data database data sorts out and analysis module, battery characteristics parameter evolutions law-analysing module, battery life degenerated mode, based on dynamically more new module, the set of cells potential risk early warning and dispose module and assessment result transport module of the cell health state evaluation module of data mining algorithm, charge and discharge control parameter and management strategy；
Off-line state assessment system is based on the battery history battery parameter stored in far-end big data platform data base and real-time battery parameter, assess the health status of battery and carry out Risk-warning, simultaneously according to cell health state, provide the maintenance information of battery, reset charge and discharge control parameter, dynamic update management strategy, and result is transferred to local battery management system.
On the basis of such scheme, described local battery management system includes battery parameter detection module, state-of-charge and power rating estimation module, management of charging and discharging module, battery data screening module, transmission module and off-line state assessment result receiver module on battery data.
On the basis of such scheme, local battery management system is at timed intervals for the battery parameter of each piece of cell in set of cells and set of cells in 1s collection charge and discharge process, and it is temporarily stored in the data buffer area of local battery management system, the battery parameter of each piece of cell in set of cells and set of cells is carried out pretreatment by the battery data screening module being managed system by local battery, after selecting by voltage spaces, the battery parameter selected is sent to the big data platform of far-end；Described voltage spaces is 1mV-5mV.
On the basis of such scheme, described battery data database data is sorted out and different vehicle is classified at the battery parameter of different times by analysis module by vehicle, and therefrom finds out corresponding to the battery parameter at different times of each piece of cell in set of cells and set of cells.
On the basis of such scheme, for a certain vehicle, each piece of cell in its set of cells and set of cells is analyzed at the battery parameter of different times, extracts battery characteristics parameter；Using capacity increment method that each piece of cell is analyzed at the battery parameter of different times, and extract the key parameter of incremental capacity plot, key parameter includes the position at peak, peak area and peak heights in incremental capacity plot.
On the basis of such scheme, described in described battery characteristics parameter evolutions law-analysing module analysis, the key parameter of battery characteristics parameter and incremental capacity plot is along with the development law of cell degradation.
On the basis of such scheme, the described cell health state evaluation module based on data mining algorithm is based on battery life degenerated mode and battery characteristics parameter and its development law, the method adopting in-situ observation, analyze the senile cause of inside battery, and provide the parameter value characterizing battery positive and negative electrode changes in material and lithium ion loss respectively, finally adopt mining algorithm that the health status of battery is estimated.
On the basis of such scheme, described charge and discharge control parameter and the management strategy dynamically more new module health status according to present battery, reset charge and discharge control parameter, and dynamically update 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 health status of the battery that described set of cells potential risk early warning and disposal module provide according to cell health state evaluation module, analyze the probability that cell safety inefficacy occurs, and to caused by accumulative effect potential safety hazard carry out early warning, provide corresponding Disposal Strategies, and according to the state difference between each cell of set of cells, it is determined that need to safeguard the cell even changed, it is achieved set of cells on-line maintenance.
On the basis of such scheme, described assessment result transport module is for being transferred to assessment result local battery management system and user.
It is characteristic of the invention that local battery management is transferred to data platform the battery parameter detected by network, assess these data of systematic analysis by off-line state and be transferred to local battery management system and user analyzing result.
A kind of broad sense battery management system of the present invention, has the beneficial effect that
1, the redundant data that the system that local battery managed records at timed intervals carries out pretreatment, selects data by voltage spaces and uploads to big data platform, reducing data volume significantly, reduce communication pressure while remaining the useful information of battery；
2, local battery management system SOC and the SOP according to the battery real-time parameter On-line Estimation battery of detection in the present invention, and judge battery whether overvoltage, cross stream and excess temperature, and off-line state assessment system is according to the history battery parameter of battery and real-time battery parameter, the SOH of assessment battery, achieve the layered shaping of data, reduce the data processing pressure of vehicle-mounted BMS；
3, in the present invention, off-line state assessment system is set up based on laboratory life-span degenerated mode and the characteristic parameter of battery and development law thereof, finally adopt mining algorithm that the health status of battery is estimated, deeply disclose, from the angle of battery material loss, the internal cause causing battery life to fail, significantly improve SOH estimated accuracy；
4, the present invention health status according to present battery, reset charge and discharge control parameter (including charging current, charge cutoff voltage, maximum discharge current and depth of discharge etc.), dynamically update battery management strategy, it is achieved the health control of battery, extend battery；
5, the present invention health status according to battery, analyzes cell safety and lost efficacy the probability occurred, and to caused by accumulative effect potential safety hazard carry out early warning, and provide corresponding disposal and maintenance strategy, add the safety that battery uses；
6, the present invention can accurately judge the state difference between each monomer of set of cells, determine and need to safeguard the monomer even changed, realize set of cells on-line maintenance, the cost increase that tradition periodic maintenance brings will be substantially reduced, reduction maintenance time, improve the utilization rate of set of cells simultaneously, extend set of cells service life.
Accompanying drawing explanation
The present invention has drawings described below:
Fig. 1 broad sense battery management system schematic diagram；
Fig. 2 off-line state assessment system evaluation flow process.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is described in further detail.
Shown in Fig. 1 and 2, a kind of broad sense battery management system that the present invention proposes, including traditional local battery management system and off-line state assessment system；
Described local battery management system includes all basic function module of current main flow battery management system, including battery parameter detection module, state-of-charge and power rating estimation module, management of charging and discharging module, but add battery data screening module, transmission module and off-line state assessment result receiver module on battery data accordingly.
Local battery management system carries out battery parameter (including voltage, electric current, temperature, charge/discharge capacity) on-line checking, battery parameter according to detection carries out state-of-charge and power rating is estimated and judges whether battery overvoltage occurs, cross stream and excess temperature, battery system is carried out real-time management of charging and discharging, and the battery parameter of detection is uploaded to the big data platform storage of far-end after screening；Meanwhile, local battery management system receives the assessment result of off-line state assessment system, revises battery characteristics parameter, charge and discharge control parameter and battery management strategy.
Described off-line state assessment system includes: battery data database data sorts out and analysis module, battery characteristics parameter evolutions law-analysing module, battery life degenerated mode, based on dynamically more new module, the set of cells potential risk early warning and dispose module and assessment result transport module of the cell health state evaluation module of data mining algorithm, charge and discharge control parameter and management strategy；
Off-line state assessment system is based on the battery history battery parameter stored in far-end big data platform data base and real-time battery parameter, assess the health status of battery and carry out Risk-warning, simultaneously according to cell health state, provide the maintenance information of battery, reset charge and discharge control parameter, dynamic update management strategy, and result is transferred to local battery management system.
The present invention has the advantages that data hierarchy processes, wherein local battery management system SOC and the SOP of battery real-time parameter On-line Estimation battery according to detection, and judges battery whether overvoltage, crosses stream and excess temperature；And off-line state assessment system is according to the history battery parameter of battery and real-time battery parameter, the SOH of assessment battery also updates charge and discharge control parameter and management strategy.
Local battery management system in the present invention has concurrently and sends data to the big data platform of far-end and receive the function of the data that off-line state assessment system sends.
Local battery management system in the present invention to the big data platform of far-end send data time, the battery parameter (voltage, electric current, temperature and charge/discharge capacity) of each piece of cell in the set of cells and set of cells gathered in charge and discharge process need to be sent.Local battery management system is at timed intervals for the battery parameter of each piece of cell in set of cells and set of cells in 1s collection charge and discharge process, and it is temporarily stored in the data buffer area of local battery management system, manage, by local battery, the battery data screening module that system carries and carry out pretreatment to by the battery parameter of each piece of cell in the set of cells of 1s interval sampling and set of cells, after selecting by voltage spaces, the battery parameter selected is sent to the big data platform of far-end, reduces data transmission pressure.Described voltage spaces, by user's sets itself, is generally 1mV-5mV.
Off-line state assessment system in the present invention runs on the big data platform of far-end, and based on the battery history battery parameter stored in data base and real-time battery parameter, the health status of battery is estimated and carries out Risk-warning by it.
Off-line state assessment system includes following functions module:
(1) battery data database data is sorted out and analysis module.The different vehicle of data base is classified at the battery parameter of different times by this module by vehicle, and therefrom finds out corresponding to set of cells and organize the interior each piece of cell battery parameter at different times.For a certain vehicle, each piece of cell in its set of cells and set of cells is analyzed at the battery parameter of different times, extract battery characteristics parameter, including ohmic internal resistance and the polarization resistance of each piece of cell, the internal resistance discordance of set of cells and voltage discordance etc.；Use capacity increment method (IncrementCapacityAnalyze, it is called for short ICA) each piece of cell is analyzed at the battery parameter of different times, and extract 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 database data sorts out the key parameter of battery characteristics parameter and the incremental capacity plot extracted with analysis module along with the development law of cell degradation.
(3) battery life degenerated mode.In order to cell health state is estimated, the cycle life carrying out under different condition to different types of battery at laboratory is needed to test and performance test, including condition of different temperatures, different charging and discharging currents multiplying power condition, different depth of discharge condition and different blanking voltage and abuse conditions, analyze the influence factor of cycle life and set up battery life degenerated mode.
(4) based on the cell health state evaluation module of data mining algorithm.Battery life degenerated mode that this module is set up based on laboratory and battery characteristics parameter and its development law, the method adopting in-situ observation, analyze the senile cause of inside battery, and provide the parameter value characterizing battery positive and negative electrode changes in material and lithium ion loss respectively, finally adopt mining algorithm that the health status of battery is estimated.
(5) charge and discharge control parameter and the dynamic more new module of management strategy.This module health status according to present battery, for the purpose of the service life extending battery, reset charge and discharge control parameter (including charging current, charge cutoff voltage, maximum discharge current and depth of discharge etc.), and dynamically update battery management strategy.
(6) early warning of set of cells potential risk and disposal module.The health status of the battery that this module provides according to cell health state evaluation module, analyze the probability that cell safety inefficacy occurs, and to caused by accumulative effect potential safety hazard carry out early warning, provide corresponding Disposal Strategies, and according to the state difference between each cell of set of cells, determine and need to safeguard the cell even changed, it is achieved set of cells on-line maintenance.
(7) assessment result transport module.This module is transferred to assessment result local battery management system and user.
Local battery management system assesses, according to off-line state, the information that system is transmitted through, and updates local charge and discharge control parameter and management strategy.User assesses, according to off-line state, potential risk information and the Disposal Strategies that system provides, and to carrying out security maintenance in set of cells, gets rid of potential safety hazard.
It is more than the present invention preferably specific implementation, in addition also has other implementations, it is necessary to explanation, under the premise without departing from present inventive concept, the replacement of any obvious suggestion is all within scope.
The content not being described in detail in this specification belongs to the known prior art of professional and technical personnel in the field.
Claims (10)
1. a broad sense battery management system, it is characterised in that include local battery management system and off-line state assessment system；
Described local battery management system is for battery parameter on-line checking, battery parameter according to detection carries out state-of-charge and power rating is estimated, judge whether battery overvoltage occurs, cross stream and excess temperature, battery system is carried out real-time management of charging and discharging, and the battery parameter of detection is uploaded to the big data platform storage of far-end after screening；Meanwhile, local battery management system receives the assessment result of off-line state assessment system, revises battery characteristics parameter, charge and discharge control parameter and battery management strategy；
Described battery parameter includes voltage, electric current, temperature and charge/discharge capacity；Described battery characteristics parameter includes ohmic internal resistance and the polarization resistance of each piece of cell, the internal resistance discordance of set of cells and voltage discordance；
Described off-line state assessment system includes: battery data database data sorts out and analysis module, battery characteristics parameter evolutions law-analysing module, battery life degenerated mode, based on dynamically more new module, the set of cells potential risk early warning and dispose module and assessment result transport module of the cell health state evaluation module of data mining algorithm, charge and discharge control parameter and management strategy；
Off-line state assessment system is based on the battery history battery parameter stored in far-end big data platform data base and real-time battery parameter, assess the health status of battery and carry out Risk-warning, simultaneously according to cell health state, provide the maintenance information of battery, reset 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 characterized in that, described local battery management system includes battery parameter detection module, state-of-charge and power rating estimation module, management of charging and discharging module, battery data screening module, transmission module and off-line state assessment result receiver module on battery data.
3. broad sense battery management system as claimed in claim 1, it is characterized in that, described local battery management system is at timed intervals for the battery parameter of each piece of cell in set of cells and set of cells in 1s collection charge and discharge process, and it is temporarily stored in the data buffer area of local battery management system, the battery parameter of each piece of cell in set of cells and set of cells is carried out pretreatment by the battery data screening module being managed system by local battery, after selecting by voltage spaces, the battery parameter selected is sent to the big data platform of far-end；Described voltage spaces is 1mV-5mV.
4. broad sense battery management system as claimed in claim 1, it is characterized in that, described battery data database data is sorted out and different vehicle is classified at the battery parameter of different times by analysis module by vehicle, and therefrom finds out corresponding to the battery parameter at different times of each piece of cell in set of cells and set of cells.
5. broad sense battery management system as claimed in claim 4, it is characterised in that for a certain vehicle, each piece of cell in its set of cells and set of cells is analyzed at the battery parameter of different times, extracts battery characteristics parameter；Using capacity increment method that each piece of cell is analyzed at the battery parameter of different times, and extract the key parameter of incremental capacity plot, key parameter includes the position at peak, peak area and peak heights in incremental capacity plot.
6. broad sense battery management system as claimed in claim 1, it is characterised in that described in described battery characteristics parameter evolutions law-analysing module analysis, the key parameter of battery characteristics parameter and incremental capacity plot is along with the development law of cell degradation.
7. broad sense battery management system as claimed in claim 1, it is characterized in that, the described cell health state evaluation module based on data mining algorithm is based on battery life degenerated mode and battery characteristics parameter and its development law, the method adopting in-situ observation, analyze the senile cause of inside battery, and provide the parameter value characterizing battery positive and negative electrode changes in material and lithium ion loss respectively, finally adopt mining algorithm that the health status of battery is estimated.
8. broad sense battery management system as claimed in claim 1, it is characterised in that described charge and discharge control parameter and the dynamic more new module health status according to present battery of management strategy, resets charge and discharge control parameter, and dynamically updates battery management 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 characterized in that, the health status of the battery that described set of cells potential risk early warning and disposal module provide according to cell health state evaluation module, analyze the probability that cell safety inefficacy occurs, and to caused by accumulative effect potential safety hazard carry out early warning, provide corresponding Disposal Strategies, and according to the state difference between each cell of set of cells, determine and need to safeguard the cell even changed, it is achieved set of cells on-line maintenance.
10. broad sense battery management system as claimed in claim 1, it is characterised in that described assessment result transport module is for being transferred to assessment result local battery management system and user.
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