CN107947207A - A kind of EV battery energy storage systems status assessment management system - Google Patents
A kind of EV battery energy storage systems status assessment management system Download PDFInfo
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- CN107947207A CN107947207A CN201711110360.7A CN201711110360A CN107947207A CN 107947207 A CN107947207 A CN 107947207A CN 201711110360 A CN201711110360 A CN 201711110360A CN 107947207 A CN107947207 A CN 107947207A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/10—Flexible AC transmission systems [FACTS]
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a kind of EV battery energy storage systems status assessment management system, including energy-storage system state estimation module, the energy storage state evaluation module includes：Run data computation module：For obtaining the operation data of battery energy storage system, and the real-time condition of the state-of-charge according to operation data calculating acquisition battery energy storage system；Data acquisition module：For obtaining residual capacity, peak power, plan voltage, open-circuit voltage, temperature rise model and the decline situation of battery energy storage system；Control module：Come the data of self-operating data computation module and the data of data collection module for receiving and handling；The energy storage state evaluation module further includes the energy storage monitoring unit with the control module network connection, which includes storage module, mixed-media network modules mixed-media and device interface module, and the device interface module is connected with mixed-media network modules mixed-media circuit.
Description
Technical field
The present invention relates to a kind of EV battery energy storage systems status assessment management system, belongs to battery energy storage administrative skill neck
Domain.
Background technology
Currently, battery energy storage is to solve new energy access, power grid peak load shifting, the key common technology of microgrid.Battery stores up
The charge and discharge control of energy system is managed by Energy Management System, and the quality of Energy Management System performance is directly related to battery
The service life of energy-storage system.
At present, it is applied to stabilize new energy fluctuation, peak load shifting, the research for stablizing microgrid voltage for battery energy storage system
Very much, its in terms of energy management mostly using basic limitation management come ensure the SOC of battery energy storage system cannot it is too low or
Excessive, in order to avoid seriously affecting the service life of battery energy storage system, the basic ideas of limit value management are, when battery energy storage system
SOC reach the upper limit of setting either lower limit when actively reduce charge power or discharge power, until stopping.Under this mode,
The carrying out practically section of battery energy storage system is by the operational mode of battery energy storage system, the original state of SOC and battery energy storage
System is determined from consumption rate etc., as long as the SOC of battery energy storage system does not get over line, Energy Management System is just not added with intervening, for example,
If SOC bounds are respectively 90% and 10%, then the battery energy storage system section operation that SOC is 10%-40% again or again SOC
For 53%-65% section operation when, Energy Management System be all not added with intervene, and in fact, for battery energy storage system and
Speech, it is ensured that optimal cycle life, not only needs to avoid the out-of-limit situations of SOC to occur as far as possible, the SOC operations of battery energy storage system
Section is also most important, it is however generally that, to battery energy storage when the SOC traffic coverages of battery energy storage system are symmetrical centered on 50%
System lifetim is the most favourable, and when SOC is 50%, its charge-discharge characteristic can be only achieved total optimization.
The content of the invention
In view of the above-mentioned problems, the invention discloses a kind of EV battery energy storage systems status assessment management system.
In order to solve the above technical problems, the present invention provides a kind of EV battery energy storage systems status assessment management system, bag
Energy-storage system state estimation module is included, the energy storage state evaluation module includes：
Run data computation module：For obtaining the operation data of battery energy storage system, and calculated and obtained according to the operation data
The real-time condition of the state-of-charge of battery energy storage system；
Data acquisition module：For obtaining residual capacity, peak power, plan voltage, open-circuit voltage, the temperature of battery energy storage system
Rise performance and decline situation；
Control module：Come the data of self-operating data computation module and the data of data collection module for receiving and handling；
The energy storage state evaluation module further includes the energy storage monitoring unit with the control module network connection, and energy storage monitoring is single
Member includes storage module, mixed-media network modules mixed-media and device interface module, and the device interface module is connected with mixed-media network modules mixed-media circuit.
As the further optimization of the present invention, energy storage state evaluation module of the present invention further includes data acquisition module
Block, data processing module, smothing filtering module, comparison module and PI adjustment modules；
The data acquisition module：For gathering the electrical quantity of battery energy storage system, which is sent to data
Manage module；
The data processing module：Data from data acquisition module are handled, handling result is sent to control mould
Block；
The SOC that the smothing filtering module exports battery energy storage system carries out smothing filtering, obtains SOC average values, and should
SOC average datas are sent to comparison module；
The comparison module：For the SOC average values that will receive compared with the SOC value set, by the result after comparison
Send to PI adjustment modules；
The PI adjustment modules：According to the data from comparison module, adjusted signal, which is sent to control
Module.
As the further optimization of the present invention, operation data computation module of the present invention is calculated according to the operation data
The real-time condition of the state-of-charge of battery energy storage system is obtained, the real-time condition includes：Voltage is very poor, Temperature Distribution and battery
Voltage standard is poor.
As the further optimization of the present invention, operation data computation module of the present invention is calculated according to the operation data
The real-time condition of the state-of-charge of battery energy storage system is obtained, the real-time condition is the state-of-charge uniformity of energy-storage system
Real-time transmitting case.
As the further optimization of the present invention, data acquisition module of the present invention obtains data by predetermined period.
As the further optimization of the present invention, temperature rise model of the present invention includes electric discharge temperature rise and charging temperature rise.
Further as the present invention optimizes, what smothing filtering module of the present invention exported battery energy storage system
SOC carries out smothing filtering, which is window sliding average filter, and window time is the 1-2 cycle of operation.
As the further optimization of the present invention, energy storage monitoring unit of the present invention further includes relay protection module.
Beneficial effect：Compared with prior art, the present invention the present invention combines commissioning test experience, with operational monitoring data and
Experiment condition is data source, increases evaluation module in energy-storage system energy management, from battery life, aging, uniformity angle
To assess energy-storage system, while the present invention adds energy storage state monitoring module on the basis of original system, can greatly improve storage
Can system security, the present invention greatly reduces the overall life cycle cost of energy-storage system, makes system longtime running in most having
Beneficial to battery life and the section of efficiency, the efficiency for improving energy-storage system, delay service life has higher price.
Embodiment
A kind of EV battery energy storage systems status assessment management system of the present embodiment, including energy-storage system status assessment mould
Block, the energy storage state evaluation module include：
Run data computation module：For obtaining the operation data of battery energy storage system, and calculated and obtained according to the operation data
The real-time condition of the state-of-charge of battery energy storage system；
Data acquisition module：For obtaining residual capacity, peak power, plan voltage, open-circuit voltage, the temperature of battery energy storage system
Rise performance and decline situation；
Control module：Come the data of self-operating data computation module and the data of data collection module for receiving and handling；
The energy storage state evaluation module further includes the energy storage monitoring unit with the control module network connection, and energy storage monitoring is single
Member includes storage module, mixed-media network modules mixed-media and device interface module, and the device interface module is connected with mixed-media network modules mixed-media circuit.
Wherein, the energy storage state evaluation module of the present embodiment further includes data acquisition module, data processing module, smooth filter
Ripple module, comparison module and PI adjustment modules；
The data acquisition module：For gathering the electrical quantity of battery energy storage system, which is sent to data
Manage module；
The data processing module：Data from data acquisition module are handled, handling result is sent to control mould
Block；
The SOC that the smothing filtering module exports battery energy storage system carries out smothing filtering, obtains SOC average values, and should
SOC average datas are sent to comparison module；
The comparison module：For the SOC average values that will receive compared with the SOC value set, by the result after comparison
Send to PI adjustment modules；
The PI adjustment modules：According to the data from comparison module, adjusted signal, which is sent to control
Module.
Wherein, the operation data computation module of the present embodiment calculates the lotus for obtaining battery energy storage system according to the operation data
The real-time condition of electricity condition, the real-time condition include：Voltage is very poor, Temperature Distribution and cell voltage standard deviation.The real-time feelings
Condition is the real-time transmitting case of the state-of-charge uniformity of energy-storage system.
More specifically, the data acquisition module of the present embodiment obtains data by predetermined period, and temperature rise model includes electric discharge
Temperature rise and charging temperature rise.And the SOC that its smothing filtering module exports battery energy storage system carries out smothing filtering, the smothing filtering
For window sliding average filter, window time is the 1-2 cycle of operation, and energy storage monitoring unit further includes relay protection module.
Claims (8)
- A kind of 1. EV battery energy storage systems status assessment management system, it is characterised in that：Including energy-storage system state estimation module, The energy storage state evaluation module includes：Run data computation module：For obtaining the operation data of battery energy storage system, and calculated and obtained according to the operation data The real-time condition of the state-of-charge of battery energy storage system；Data acquisition module：For obtaining residual capacity, peak power, plan voltage, open-circuit voltage, the temperature of battery energy storage system Rise performance and decline situation；Control module：Come the data of self-operating data computation module and the data of data collection module for receiving and handling；The energy storage state evaluation module further includes the energy storage monitoring unit with the control module network connection, and energy storage monitoring is single Member includes storage module, mixed-media network modules mixed-media and device interface module, and the device interface module is connected with mixed-media network modules mixed-media circuit.
- A kind of 2. EV battery energy storage systems status assessment management system according to claim 1, it is characterised in that：The storage Energy state estimation module further includes data acquisition module, data processing module, smothing filtering module, comparison module and PI and adjusts mould Block；The data acquisition module：For gathering the electrical quantity of battery energy storage system, which is sent to data Manage module；The data processing module：Data from data acquisition module are handled, handling result is sent to control mould Block；The SOC that the smothing filtering module exports battery energy storage system carries out smothing filtering, obtains SOC average values, and should SOC average datas are sent to comparison module；The comparison module：For the SOC average values that will receive compared with the SOC value set, by the result after comparison Send to PI adjustment modules；The PI adjustment modules：According to the data from comparison module, adjusted signal, which is sent to control Module.
- A kind of 3. EV battery energy storage systems status assessment management system according to claim 1, it is characterised in that：The fortune Row data computation module calculates the real-time condition for the state-of-charge for obtaining battery energy storage system according to the operation data, described real-time Situation includes：Voltage is very poor, Temperature Distribution and cell voltage standard deviation.
- A kind of 4. EV battery energy storage systems status assessment management system according to claim 1, it is characterised in that：The fortune Row data computation module calculates the real-time condition for the state-of-charge for obtaining battery energy storage system according to the operation data, described real-time Situation is the real-time transmitting case of the state-of-charge uniformity of energy-storage system.
- A kind of 5. EV battery energy storage systems status assessment management system according to claim 1, it is characterised in that：The number According to acquisition module data are obtained by predetermined period.
- A kind of 6. EV battery energy storage systems status assessment management system according to claim 1, it is characterised in that：The temperature Rising performance includes electric discharge temperature rise and charging temperature rise.
- A kind of 7. EV battery energy storage systems status assessment management system according to claim 2, it is characterised in that：It is described flat The SOC progress smothing filterings that sliding filter module export battery energy storage system, the smothing filtering are window sliding average filter, window The mouth time is the 1-2 cycle of operation.
- A kind of 8. EV battery energy storage systems status assessment management system according to claim 1, it is characterised in that：The storage Energy monitoring unit further includes relay protection module.
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| CN201711110360.7A CN107947207A (en) | 2017-11-12 | 2017-11-12 | A kind of EV battery energy storage systems status assessment management system |
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| CN201711110360.7A CN107947207A (en) | 2017-11-12 | 2017-11-12 | A kind of EV battery energy storage systems status assessment management system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112260300A (en) * | 2020-10-10 | 2021-01-22 | 国网能源研究院有限公司 | Method and device for determining energy storage configuration and optimal delay period |
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| CN103001240A (en) * | 2012-11-19 | 2013-03-27 | 国网电力科学研究院武汉南瑞有限责任公司 | In situ monitoring system for energy storage of all-vanadium redox flow battery |
| CN105186547A (en) * | 2015-07-30 | 2015-12-23 | 中国海洋石油总公司 | Energy management system and method for battery energy storage system |
| CN105375503A (en) * | 2015-09-02 | 2016-03-02 | 国网上海市电力公司 | Energy storage in-situ monitoring system |
| CN106443461A (en) * | 2016-09-06 | 2017-02-22 | 华北电力科学研究院有限责任公司 | Battery energy storage system state assessment method |
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2017
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Patent Citations (5)
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| CN102738815A (en) * | 2012-05-28 | 2012-10-17 | 深圳市科陆电子科技股份有限公司 | System and method for managing energy-storage equipment system |
| CN103001240A (en) * | 2012-11-19 | 2013-03-27 | 国网电力科学研究院武汉南瑞有限责任公司 | In situ monitoring system for energy storage of all-vanadium redox flow battery |
| CN105186547A (en) * | 2015-07-30 | 2015-12-23 | 中国海洋石油总公司 | Energy management system and method for battery energy storage system |
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| CN112260300A (en) * | 2020-10-10 | 2021-01-22 | 国网能源研究院有限公司 | Method and device for determining energy storage configuration and optimal delay period |
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Application publication date: 20180420 |