CN111439161A - Optimization control system based on new energy automobile battery - Google Patents
Optimization control system based on new energy automobile battery Download PDFInfo
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- CN111439161A CN111439161A CN202010399484.7A CN202010399484A CN111439161A CN 111439161 A CN111439161 A CN 111439161A CN 202010399484 A CN202010399484 A CN 202010399484A CN 111439161 A CN111439161 A CN 111439161A
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- 238000004891 communication Methods 0.000 claims abstract description 5
- 238000007599 discharging Methods 0.000 claims description 28
- 239000000178 monomer Substances 0.000 claims description 6
- 230000007547 defect Effects 0.000 abstract description 3
- 238000004146 energy storage Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/18—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries of two or more battery modules
- B60L58/22—Balancing the charge of battery modules
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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
-
- 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
- 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
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to battery optimization control, in particular to an optimization control system based on a new energy automobile battery, which comprises a controller, wherein the controller is connected with a parameter detection module for acquiring battery pack working parameters, the controller is connected with a data processing module for performing optimization processing on the battery pack working parameters, the controller is communicated with a control center server through a wireless communication module, the control center server is connected with a constraint condition input module for inputting constraint conditions of the battery pack working parameters, and the control center server is connected with an objective function determination module for generating a maximum objective function of the energy efficiency of a battery pack system according to the constraint conditions of the battery pack working parameters; the technical scheme provided by the invention can effectively overcome the defects of single optimization factor of the working process of the battery pack and lack of effective optimization on each single battery in the battery pack in the prior art.
Description
Technical Field
The invention relates to battery optimization control, in particular to an optimization control system based on a new energy automobile battery.
Background
The development and the use of a large amount of renewable energy sources are inevitable trends of power grids in the future, but most of the renewable energy sources cannot be timely incorporated into the power grids in a large scale due to the fact that geographical positions are scattered, fluctuation is high, the electric energy quality is low and the like. In recent years, research finds that establishing a micro-grid is one of effective ways for solving the problem of accessing the distributed energy sources into a power grid, and the micro-grid is a system formed by a power supply and a load and used for providing electric energy and heat for users.
The micro-grid has two working modes, is connected with a power grid under normal conditions to realize grid-connected operation, and is disconnected from the power grid when the power grid fails or the electric energy fluctuation is overlarge to realize isolated island operation. In island operation, due to the fluctuation and randomness of renewable energy output and low-speed response of a micro gas turbine and a fuel cell, rapid load fluctuation brings great problems to a micro grid.
The renewable energy source has volatility and intermittence, so that output fluctuation of the renewable energy source needs to be stabilized through an energy storage technology, and the energy storage device has the characteristics of high energy, flexibility in installation and high charging and discharging speed, and becomes one of the preferential development directions. Energy is generally converted into sinusoidal alternating current that can be received by a power grid through a Power Conversion System (PCS), so that grid-connected operation of the energy storage device is realized.
A large-scale battery energy storage system is generally formed by connecting a plurality of battery modules in series, and each battery module is formed by connecting one or more single batteries in parallel. In the battery management system, the battery module is generally mounted in a battery box. However, the existing optimization control system for the new energy automobile battery generally optimizes the operation process of the battery pack only for a certain aspect, and lacks effective optimization of each single battery in the battery pack.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides an optimization control system based on a new energy automobile battery, which can effectively overcome the defects of single optimization factor of the working process of a battery pack and lack of effective optimization on each single battery in the battery pack in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
an optimization control system based on a new energy automobile battery comprises a controller, wherein the controller is connected with a parameter detection module for collecting working parameters of a battery pack, the controller is connected with a data processing module for optimizing the working parameters of the battery pack, the controller establishes communication with a control center server through a wireless communication module, the control center server is connected with a constraint condition input module for inputting constraint conditions of working parameters of the battery pack, the control center server is connected with an objective function determining module which is used for generating the maximum objective function of the energy efficiency of the battery pack system according to the constraint conditions of the battery pack working parameters, the control center server is connected with a coordination strategy generation module used for selecting an optimal coordination strategy according to the maximum energy efficiency objective function of the battery pack system, and the controller is connected with an execution terminal used for executing the optimal coordination strategy;
the controller is connected with a charging and discharging module used for charging and discharging the battery pack, the controller is connected with a parameter acquisition module used for acquiring battery state parameters in the charging and discharging process of the battery pack, the controller is connected with a first judgment module used for judging the battery state parameters and driving an SOC (system on chip) adjustment optimization module to perform optimization adjustment, and the controller is connected with a second judgment module used for judging the battery state parameters and driving a charging and discharging balance module to perform optimization adjustment.
Preferably, the parameter detection module comprises a current detector, a voltage detector and a temperature detector; the execution terminal comprises a current controller, a voltage controller and a temperature protection device.
Preferably, the data processing module deletes the battery pack operating parameters with obvious errors or errors according to the fluctuation condition of the battery pack operating parameters in a short time.
Preferably, the constraint conditions of the battery pack operating parameters comprise a battery operating current threshold, a battery operating voltage threshold and a battery operating temperature threshold.
Preferably, the objective function determination module generates a maximum objective function of the energy efficiency of the battery system based on objective sub-functions, where the objective sub-functions include a high-priority objective sub-function and a low-priority objective sub-function.
Preferably, the high-priority target sub-function is generated according to a battery working current parameter and a battery working voltage parameter; the low-priority target subfunction is generated according to a battery working temperature parameter.
Preferably, the battery state parameters include a voltage difference between the monomer cells at the end of charging and discharging, and a real-time voltage of the monomer cells at the time of charging and discharging.
Preferably, the first determination module determines a pressure difference between the single battery cells when charging and discharging are stopped, and selects an adjustment strategy to drive the SOC adjustment optimization module to perform optimization adjustment on each single battery in the battery pack according to a determination result;
the second judgment module judges the real-time voltage of the single battery cell during charging and discharging, and selects an adjustment strategy according to the judgment result to drive the charging and discharging equalization module to optimize and adjust each single battery in the battery pack.
Preferably, the battery pack is formed by connecting a plurality of single batteries with cell parameters meeting similar requirements in series, and the cell parameters include internal resistance, open-circuit voltage and capacity.
(III) advantageous effects
Compared with the prior art, the optimization control system based on the new energy automobile battery can acquire the working parameters of the battery pack by using the parameter detection module, the objective function determination module generates the maximum objective function of the energy efficiency of the battery pack system according to the constraint conditions of the working parameters of the battery pack, the coordination strategy generation module selects the optimal coordination strategy according to the maximum objective function of the energy efficiency of the battery pack system, and the execution terminal performs optimization adjustment, so that the working process of the battery pack can be optimized from multiple aspects; and moreover, the consistency of each single battery in the battery pack can be optimized through the SOC adjustment optimization module and the charge-discharge equalization module according to the battery state parameters.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An optimization control system based on a new energy automobile battery comprises a controller, wherein the controller is connected with a parameter detection module used for collecting battery pack working parameters, the controller is connected with a data processing module used for optimizing the battery pack working parameters, the controller is communicated with a control center server through a wireless communication module, the control center server is connected with a constraint condition input module used for inputting battery pack working parameter constraint conditions, the control center server is connected with an objective function determination module used for generating a battery pack system energy efficiency maximum objective function according to the battery pack working parameter constraint conditions, the control center server is connected with a coordination strategy generation module used for selecting an optimal coordination strategy according to the battery pack system energy efficiency maximum objective function, and the controller is connected with an execution terminal used for executing the optimal coordination strategy.
The parameter detection module comprises a current detector, a voltage detector and a temperature detector; the execution terminal comprises a current controller, a voltage controller and a temperature protection device.
And the data processing module deletes the battery pack working parameters obviously having errors or errors according to the fluctuation condition of the battery pack working parameters in a short time.
The constraint conditions of the battery pack working parameters comprise a battery working current threshold, a battery working voltage threshold and a battery working temperature threshold.
The target function determination module generates a maximum energy efficiency target function of the battery pack system based on target subfunctions, wherein the target subfunctions comprise a high-priority target subfunction and a low-priority target subfunction. Generating a high-priority target sub-function according to a battery working current parameter and a battery working voltage parameter; the low priority objective sub-function is generated based on the battery operating temperature parameter.
The method comprises the steps that a parameter detection module is used for collecting working parameters of a battery pack, an objective function determination module generates a maximum objective function of the energy efficiency of a battery pack system according to constraint conditions of the working parameters of the battery pack, a coordination strategy generation module selects an optimal coordination strategy according to the maximum objective function of the energy efficiency of the battery pack system, an execution terminal carries out optimization and adjustment, and the working process of the battery pack can be optimized from multiple aspects.
The controller is connected with a charging and discharging module used for performing charging and discharging operations on the battery pack, the controller is connected with a parameter acquisition module used for acquiring battery state parameters in the charging and discharging process of the battery pack, the controller is connected with a first judgment module used for judging the battery state parameters and driving an SOC (System on chip) adjustment optimization module to perform optimization adjustment, and the controller is connected with a second judgment module used for judging the battery state parameters and driving a charging and discharging equalization module to perform optimization adjustment.
The battery state parameters comprise the pressure difference between the monomer battery cores when charging and discharging are stopped and the real-time voltage of the monomer battery cores when charging and discharging are stopped.
The first judgment module judges the pressure difference between the single battery cells when the charging and discharging are stopped, and selects an adjustment strategy according to the judgment result to drive the SOC adjustment optimization module to carry out optimization adjustment on each single battery in the battery pack; and the second judgment module judges the real-time voltage of the single battery cell during charging and discharging, and selects an adjustment strategy according to the judgment result to drive the charging and discharging equalization module to optimize and adjust each single battery in the battery pack. Therefore, the consistency of each single battery in the battery pack can be optimized through the SOC adjustment optimization module and the charge-discharge equalization module according to the battery state parameters.
The battery pack in the technical scheme is formed by connecting a plurality of single batteries of which the battery cell parameters meet the similar requirements in series, and the battery cell parameters comprise internal resistance, open voltage and capacity.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (9)
1. The utility model provides an optimal control system based on new energy automobile battery which characterized in that: the device comprises a controller, wherein the controller is connected with a parameter detection module for acquiring working parameters of a battery pack, the controller is connected with a data processing module for optimizing the working parameters of the battery pack, the controller is communicated with a control center server through a wireless communication module, the control center server is connected with a constraint condition input module for inputting constraint conditions of the working parameters of the battery pack, the control center server is connected with an objective function determination module for generating a maximum objective function of the energy efficiency of the battery pack system according to the constraint conditions of the working parameters of the battery pack, the control center server is connected with a coordination strategy generation module for selecting an optimal coordination strategy according to the maximum objective function of the energy efficiency of the battery pack system, and the controller is connected with an execution terminal for executing the optimal coordination strategy;
the controller is connected with a charging and discharging module used for charging and discharging the battery pack, the controller is connected with a parameter acquisition module used for acquiring battery state parameters in the charging and discharging process of the battery pack, the controller is connected with a first judgment module used for judging the battery state parameters and driving an SOC (system on chip) adjustment optimization module to perform optimization adjustment, and the controller is connected with a second judgment module used for judging the battery state parameters and driving a charging and discharging balance module to perform optimization adjustment.
2. The optimization control system based on the new energy automobile battery according to claim 1, characterized in that: the parameter detection module comprises a current detector, a voltage detector and a temperature detector; the execution terminal comprises a current controller, a voltage controller and a temperature protection device.
3. The optimization control system based on the new energy automobile battery according to claim 1, characterized in that: and the data processing module deletes the battery pack working parameters obviously having errors or errors according to the fluctuation condition of the battery pack working parameters in a short time.
4. The optimization control system based on the new energy automobile battery according to claim 1, characterized in that: the constraint conditions of the battery pack working parameters comprise a battery working current threshold, a battery working voltage threshold and a battery working temperature threshold.
5. The optimization control system based on the new energy automobile battery according to claim 1, characterized in that: the target function determination module generates a maximum energy efficiency target function of the battery pack system based on target subfunctions, wherein the target subfunctions comprise a high-priority target subfunction and a low-priority target subfunction.
6. The optimization control system based on the new energy automobile battery according to claim 5, characterized in that: the high-priority target sub-function is generated according to a battery working current parameter and a battery working voltage parameter; the low-priority target subfunction is generated according to a battery working temperature parameter.
7. The optimization control system based on the new energy automobile battery according to claim 1, characterized in that: the battery state parameters comprise the pressure difference between the monomer battery cores when charging and discharging are stopped and the real-time voltage of the monomer battery cores when charging and discharging are stopped.
8. The optimization control system based on the new energy automobile battery according to claim 7, characterized in that: the first judging module judges the pressure difference between the single battery cells when the charging and discharging are stopped, and selects an adjusting strategy to drive the SOC adjusting and optimizing module to optimize and adjust each single battery in the battery pack according to the judging result;
the second judgment module judges the real-time voltage of the single battery cell during charging and discharging, and selects an adjustment strategy according to the judgment result to drive the charging and discharging equalization module to optimize and adjust each single battery in the battery pack.
9. The optimization control system based on the new energy automobile battery according to claim 1, characterized in that: the battery pack is formed by connecting a plurality of single batteries with electric core parameters meeting similar requirements in series, wherein the electric core parameters comprise internal resistance, open-circuit voltage and capacity.
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| CN202010399484.7A CN111439161A (en) | 2020-05-12 | 2020-05-12 | Optimization control system based on new energy automobile battery |
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| CN202010399484.7A CN111439161A (en) | 2020-05-12 | 2020-05-12 | Optimization control system based on new energy automobile battery |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116853073A (en) * | 2023-09-04 | 2023-10-10 | 江西五十铃汽车有限公司 | New energy electric automobile energy management method and system |
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Application publication date: 20200724 |