CN109245102A - A kind of driving energy storage control system and device - Google Patents
A kind of driving energy storage control system and device Download PDFInfo
- Publication number
- CN109245102A CN109245102A CN201811356467.4A CN201811356467A CN109245102A CN 109245102 A CN109245102 A CN 109245102A CN 201811356467 A CN201811356467 A CN 201811356467A CN 109245102 A CN109245102 A CN 109245102A
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- China
- Prior art keywords
- energy
- mode
- data acquisition
- acquisition unit
- driving
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Classifications
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
-
- 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]
-
- 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
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of driving energy storage control system and devices, including energy-storage units, data acquisition unit, control unit, the energy-storage units are for storing electric energy, the data acquisition unit is connect with power grid, and for acquiring equipment operating condition data, described control unit is connect with the data acquisition unit and energy-storage units respectively；Specifically includes the following steps: S1. obtains input/configuration load demand, battery types and part throttle characteristics；S2. according to the specific gravity of each conditional parameter, cost appraisement system is established；S3. different emphasis are directed to, plurality of operating modes is generated；S4. a kind of operational mode is selected, to power under off-network state to driving.To solve the problems, such as that it is unstable caused by frequent power on/off that driving needs.
Description
Technical field
The present invention relates to Electric control fields, and in particular to a kind of driving energy storage control system and device.
Background technique
Common user side energy storage control system is chiefly used in being incorporated into the power networks with power grid, in grid cut-off, can guarantee to one
A little important load continued powers.But system power supply load must not fluctuate widely, and not have high current when operating normally
Impact, otherwise conventional energy-storage system will be unable to work normally.And in the present invention, targeted loads are driving, and the work of driving is special
Point is exactly frequent start-stop, and when operating current is small when big.This just powers to energy-storage system under off-network state to it, it is ensured that driving energy
Normal operation is put forward new requirements.
Summary of the invention
The present invention provides a kind of driving energy storage control systems, need shakiness caused by frequent power on/off to solve driving
Fixed problem.
To achieve the above object, the present invention specifically provides technical solution:
A kind of driving energy storage control system, including control unit and energy-storage units, described control unit are used for one
The data acquisition unit connection of power information is acquired, specifically includes the following steps:
S1. input/configuration load demand, battery types and part throttle characteristics is obtained；
S2. according to the specific gravity of each conditional parameter, cost appraisement system is established；
S3. different emphasis are directed to, plurality of operating modes is generated；
S4. a kind of operational mode is selected, to power under off-network state to driving.
In some embodiments, the conditional parameter specifically includes: power voltage grade, applicable working condition, load
Demand, environmental condition, customized requirement.
In some embodiments, the operational mode includes:
1., input cost is compressed to minimum mode, and load operation, expected economic benefit, environmental benefit are not done and strictly wanted
It asks；
2. mode, pays the utmost attention to load operating conditions, insensitive to input cost, economic benefit, environmental benefit；
3. mode, pays the utmost attention to environmental benefit, economic benefit, input cost, load operation factor are insensitive；
Mode 4., customized adjusting load operation, input cost, environmental benefit, economic benefit factors proportion.
In some embodiments, 4. the mode includes that customized plan tracing mode, Eco-power peak clipping are filled out
Paddy mode, frequency modulation/pressure regulation/increase-volume mode of reliable, the energy-saving and emission-reduction of environment-friendly type and smooth power output and demand control mould
Formula.
The invention also discloses a kind of driving energy storage control device, including energy-storage units, data acquisition unit, control is single
Member, the energy-storage units are for storing electric energy, and the data acquisition unit is connect with power grid, for acquiring equipment operating condition number
According to described control unit is connect with the data acquisition unit and energy-storage units respectively；
Control system, the number that described control unit is obtained according to the data acquisition unit are provided in described control unit
It is believed that the operational mode after breath selection suspension.
By using above-mentioned technical proposal, have the advantages that it compared with prior art
In the case of this programme is for class specific loads of driving a vehicle, to the parameter selection and system battery of battery in energy-storage system
Configuration optimizes, and stresses direction selection operational mode according to different, to meet various modes requirement.Meanwhile defeated
After the design parameter and reality of work operating condition of access customer equipment motor, complete to carry out practical work to designed energy-storage system
Make state simulation, with verify the energy-storage system for ensuring to design not only will not cost it is excessively high but also applicable reliable, improve the reliable of system
Property.
Detailed description of the invention
Fig. 1 is present system workflow schematic diagram；
Specific embodiment
This programme is described in further details below in conjunction with specific embodiment and claim, by following explanation, originally
The technical characteristic and content of scheme will be apparent from, it should be understood that attached drawing is all made of non-precision ratio, is only used for aid illustration
Purpose.
The present invention provides a kind of driving energy storage control system, including control unit and energy-storage units, control units
It is connect with one for acquiring the data acquisition unit of power information, specifically includes the following steps:
S1. input/configuration load demand, battery types and part throttle characteristics is obtained；
S2. according to the specific gravity of each conditional parameter, cost appraisement system is established；
S3. different emphasis are directed to, plurality of operating modes is generated；
S4. a kind of operational mode is selected, to power under off-network state to driving.
Specifically, referring to Fig. 1, a kind of driving energy storage control device, device includes hardware device and software control system
System.Hardware device includes electrical cabinet, protection and monitoring device, PC machine and display equipment etc.；Software control system is loaded in PC machine,
It is imported when use by input/configuration load demand, battery types and part throttle characteristics, carries out the design of allocation plan.
Later according to power voltage grade, applicable working condition, workload demand, environmental condition, particular/special requirement in software systems
Etc. the differences of conditions establish cost appraisement system according to the specific gravity of each conditional parameter.And combine numerical simulation battery operation simulation
As a result, proposing the strategy that a variety of differences stress:
1. input cost is compressed to minimum, but load operation, expected economic benefit, environmental benefit are not strict with.
2. insensitive to input cost, economic benefit, environmental benefit it is required that load operating conditions are paid the utmost attention to.
3. being valued the most environmental benefit, the factors such as economic benefit, input cost, load operation are insensitive.
4. comprehensively considering many factors such as load operation, input cost, environmental benefit, economic benefit.
Control system will propose optimal according to a variety of conditions such as the specific requirements of user, dam site investigation situation, cost budgeting
Scheme implements control, finally carries out scheme output according to real system control effect.
Flexile energy management control strategy will be formed more according to running data and user's customized demand
Re-optimization target and constraint condition are based on intelligent algorithm optimizing, realize real-time, accurate, automatic control to underlying device, optimization
The operational mode of equipment.Feasible system is unattended, improves systematic economy benefit.In conjunction with dispatch command and storage energy operation state
Carry out power distribution.Typical control strategy includes: customized plan tracking, peak load shifting (economy), frequency modulation/pressure regulation/increase-volume
(reliability), energy-saving and emission-reduction (feature of environmental protection), smooth power output and demand control.
In the case of driving class specific loads, the parameter selection of battery and system battery configuration in energy-storage system
Optimization design.Meanwhile after the design parameter and reality of work operating condition of input user equipment motor, complete to designed
Energy-storage system carry out actual working state emulation, with verify ensure design energy-storage system not only will not cost it is excessively high but also it is applicable can
It leans on.
In conjunction with attached drawing, the embodiments of the present invention are described in detail above, but the present invention is not limited to above-mentioned implementations
Side, even if various changes can be made to the present invention, if these variations belong to the range of the claims in the present invention and its equivalent technologies
Within, then it still falls within the protection scope of the present invention.
Claims (5)
1. a kind of driving energy storage control system, which is characterized in that including control unit and energy-storage units, described control unit
It is connect with one for acquiring the data acquisition unit of power information, specifically includes the following steps:
S1. input/configuration load demand, battery types and part throttle characteristics is obtained；
S2. according to the specific gravity of each conditional parameter, cost appraisement system is established；
S3. different emphasis are directed to, plurality of operating modes is generated；
S4. a kind of operational mode is selected, to power under off-network state to driving.
2. a kind of driving energy storage control system according to claim 1, which is characterized in that the conditional parameter specifically wraps
It includes: power voltage grade, applicable working condition, workload demand, environmental condition, customized requirement.
3. a kind of driving energy storage control system according to claim 1, which is characterized in that the operational mode includes:
1., input cost is compressed to minimum mode, is not strict with to load operation, expected economic benefit, environmental benefit；
2. mode, pays the utmost attention to load operating conditions, insensitive to input cost, economic benefit, environmental benefit；
3. mode, pays the utmost attention to environmental benefit, economic benefit, input cost, load operation factor are insensitive；
Mode 4., customized adjusting load operation, input cost, environmental benefit, economic benefit factors proportion.
4. a kind of driving energy storage control system according to claim 3, which is characterized in that 4. the mode includes making by oneself
Frequency modulation/pressure regulation/increase-volume mode, environment-friendly type energy conservation of justice plan tracing mode, Eco-power peak load shifting mode, reliable subtracts
Row and smooth power output and demand control mode.
5. a kind of driving energy storage control device, which is characterized in that including energy-storage units, data acquisition unit, control unit, institute
Energy-storage units are stated for storing electric energy, the data acquisition unit is connect with power grid, for acquiring equipment operating condition data, institute
Control unit is stated to connect with the data acquisition unit and energy-storage units respectively；
Control system is provided in described control unit, described control unit is believed according to the data that the data acquisition unit obtains
Operational mode after breath selection suspension.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811356467.4A CN109245102A (en) | 2018-11-14 | 2018-11-14 | A kind of driving energy storage control system and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811356467.4A CN109245102A (en) | 2018-11-14 | 2018-11-14 | A kind of driving energy storage control system and device |
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| Publication Number | Publication Date |
|---|---|
| CN109245102A true CN109245102A (en) | 2019-01-18 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811356467.4A Pending CN109245102A (en) | 2018-11-14 | 2018-11-14 | A kind of driving energy storage control system and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110867881A (en) * | 2019-11-29 | 2020-03-06 | 上海宝钢节能环保技术有限公司 | Energy storage control method and system for optical storage and charging system |
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| US4316095A (en) * | 1979-08-27 | 1982-02-16 | Laffoon Perry D | Engine starting apparatus |
| CN201457023U (en) * | 2009-01-06 | 2010-05-12 | 尚青 | Hybrid motor vehicle |
| CN104200267A (en) * | 2014-09-23 | 2014-12-10 | 清华大学 | Vehicle driving economy evaluation system and vehicle driving economy evaluation method |
| CN105015355A (en) * | 2015-07-21 | 2015-11-04 | 南京理工大学 | Energy control method and system for hybrid energy electric automobile based on minimum energy consumption rate |
| CN106143476A (en) * | 2015-03-25 | 2016-11-23 | 比亚迪股份有限公司 | Hybrid vehicle and drive control method and apparatus thereof |
-
2018
- 2018-11-14 CN CN201811356467.4A patent/CN109245102A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4316095A (en) * | 1979-08-27 | 1982-02-16 | Laffoon Perry D | Engine starting apparatus |
| CN201457023U (en) * | 2009-01-06 | 2010-05-12 | 尚青 | Hybrid motor vehicle |
| CN104200267A (en) * | 2014-09-23 | 2014-12-10 | 清华大学 | Vehicle driving economy evaluation system and vehicle driving economy evaluation method |
| CN106143476A (en) * | 2015-03-25 | 2016-11-23 | 比亚迪股份有限公司 | Hybrid vehicle and drive control method and apparatus thereof |
| CN105015355A (en) * | 2015-07-21 | 2015-11-04 | 南京理工大学 | Energy control method and system for hybrid energy electric automobile based on minimum energy consumption rate |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110867881A (en) * | 2019-11-29 | 2020-03-06 | 上海宝钢节能环保技术有限公司 | Energy storage control method and system for optical storage and charging system |
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| TA01 | Transfer of patent application right |
Effective date of registration: 20201104 Address after: Room 666, building 35, No. 19, Siyuan Road, Baoshan District, Shanghai, 200941 Applicant after: Baowu clean energy Co., Ltd Address before: 201999, Shanghai, Baoshan District, 550 grams Road, No. 7, No. business building, 2 and 3 Applicant before: SHANGHAI BAOSTEEL ENERGY TECH Co.,Ltd. |
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Application publication date: 20190118 |
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