WO2012171147A1 - 结合风力发电的纯电动汽车有序充放电协调控制系统 - Google Patents
结合风力发电的纯电动汽车有序充放电协调控制系统 Download PDFInfo
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- WO2012171147A1 WO2012171147A1 PCT/CN2011/001470 CN2011001470W WO2012171147A1 WO 2012171147 A1 WO2012171147 A1 WO 2012171147A1 CN 2011001470 W CN2011001470 W CN 2011001470W WO 2012171147 A1 WO2012171147 A1 WO 2012171147A1
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- power
- charging
- wind
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- wind power
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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
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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
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/50—Charging stations characterised by energy-storage or power-generation means
- B60L53/52—Wind-driven generators
-
- 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
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/63—Monitoring or controlling charging stations in response to network capacity
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
-
- 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
-
- 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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
-
- 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
- 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
-
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/126—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
Definitions
- the invention relates to the technical field of wind power generation, in particular to a coordinated charging and discharging control system for a pure electric vehicle combined with wind power generation, which is a coordinated control system for orderly charging and discharging management of a pure electric vehicle.
- the present invention is directed to the above-mentioned problems in the prior art, and provides an integrated charge and discharge coordinated control system for a pure electric vehicle in combination with wind power generation.
- the purpose is to overcome the randomness, intermittentness, uncontrollability and anti-peak characteristics of wind power generation, and the disorderly charging of pure electric vehicles will affect the normal operation of the power grid.
- the invention not only can overcome the shortcomings of wind power generation, but also can reduce the impact of the disorderly charging of the pure electric vehicle on the normal operation of the power grid, improve the utilization efficiency of the wind power, and improve the stability level of the power grid.
- the grid dispatching center judges the current state of the power system, generates a corresponding charging control mode, and transmits the information to the charging station centralized coordination monitoring system for information interaction; the power grid dispatching center will adjust the peak by the communication network of the charging station centralized coordinated control system
- the command is sent to each power battery, that is, the power battery pack; the power battery pack receives the command and is monitored and recorded, and feeds the information back to the charging station to coordinate and control the control system through the communication network; the power battery realizes organized and planned according to the received command. Peak shaving, while returning the remaining electricity to the grid;
- the centralized coordination and monitoring system of the charging station receives and monitors the information collected by the charger and its connected power battery pack, the inverter, and the power distribution equipment, the smoke sensing device and the battery charging and discharging metering module;
- the coordinated monitoring system sends the remotely received information to the grid dispatching center for information interaction and accepts the instructions of the grid dispatching center.
- the wind power prediction module includes three prediction methods: a physical method, a statistical method, and a learning method; the physical method is to accurately estimate weather information at a wind turbine hub height; first, using a numerical weather prediction (NWP) system The predicted results are weather data such as wind speed, wind direction, air pressure, temperature, etc., and then the wind speed and wind direction of the wind turbine hub height are obtained according to the physical information around the wind turbine. Finally, the actual output power of the wind turbine is calculated by using the power curve of the wind turbine;
- NWP numerical weather prediction
- the statistical method is to establish a mapping relationship between the input of the system, that is, NWP, historical statistical data, measured data, and wind power, usually a linear relationship; the linear relationship can be expressed in the form of a function, including regression analysis,
- NWP historical statistical data
- measured data measured data
- wind power usually a linear relationship
- the exponential smoothing method, the time series method, the Kalman filter method, the gray prediction method, and the like are all based on a linear model
- the pure electric motor combined with wind power generation according to claim 1.
- Automobile orderly charge and discharge coordinated control system which is characterized by:
- the learning method is to extract the relationship between input and output by artificial intelligence.
- the model built is a nonlinear model, including neural network method, wavelet analysis method, support vector machine method, particle swarm optimization algorithm and so on.
- the short-term load forecasting module of the power system uses the historical load data of yesterday and before to complete the short-term load forecasting today; in the conventional load forecasting mode, generally only considering the influence of load-related factors such as meteorological factors, reference history Load data samples, using a variety of short-term load forecasting algorithms, such as: neural network algorithm, linear extrapolation algorithm, exponential smoothing algorithm, etc., respectively, complete the 96-point load value prediction for the day.
- the automatic power generation control module refers to a computer power monitoring system of a hydropower plant or a command output by a thermal power plant DCS according to the calculation result of the AGC software of the dispatching center, and automatically adjusts the output of the unit to maintain the grid frequency and the net exchange power of the tie line in a closed loop of the planned value. Adjustment process
- the centralized coordination and monitoring system of the charging station is equipped with a central computer system for collecting and processing necessary information from each power battery; and centrally coordinating charging method for charging the power battery at the same charging station, through a computer Intelligent judgment, coordinate the start of charging time, current size, charging time of each power battery, achieve the purpose of not overloading the total current demand, and ensure that the charging load curve is a flat curve.
- the battery charge and discharge metering module measures the charge and discharge amount of the power battery; the power battery is charged when the wind power is generated and the grid load is low; the power battery releases the remaining power to the grid when the grid load peaks, and the battery is charged and discharged.
- the metering module calculates the actual purchase cost of the user.
- the wind power prediction module may also adopt the following prediction method:
- the power grid dispatching center is realized by the following communication network structure:
- the power grid dispatching center sends power demand commands to the charging stations through the Ethernet, including charging the battery and transmitting the battery to the power grid, and sending the charging to the charging
- the station centrally coordinates the monitoring system;
- the centralized coordination and monitoring system of the charging station performs the calculation after receiving the instruction, and decomposes the target power into the actual control amount for each battery, and delivers the task through the CAN communication bus;
- the charging station centralized coordination monitoring system collects the information of the battery charging and discharging metering module, the charging machine, the power battery pack, the power distribution equipment and the smoke sensing device through the CAN communication bus, and packs the information in the station, and sends it to the power grid dispatching center through the Ethernet. .
- the beneficial effects of the invention are: realizing and coordinating the complementary relationship between wind power generation, electric vehicle charging and discharging, and grid stability. It has improved the acceptance of wind power, minimized the harmonic pollution caused by disorderly charging of pure electric vehicles and adversely affected the power grid, and reduced the peak-to-valley difference of the power grid by cutting peaks and valleys, thus improving the stability level of the power grid.
- the invention can overcome the randomness, intermittentness, uncontrollability and anti-peaking characteristics of wind power generation, and the disorderly charging of pure electric vehicles will affect the normal operation of the power grid. It can not only overcome the shortcomings of wind power generation, but also reduce the impact of disorderly charging of pure electric vehicles on the normal operation of the power grid, improve the utilization efficiency of wind power, and improve the stability level of the power grid.
- Figure 1 is a block diagram of the system of the present invention.
- FIG. 2 is a structural diagram of a communication network of the present invention.
- the invention relates to an orderly charge and discharge coordinated control system for a pure electric vehicle combined with wind power generation.
- the utility model utilizes a power battery to charge energy from the power grid when the load is low, and to reversely transmit power to the power grid when the load is peak.
- harmonic management is concentrated in each power battery charging station to improve power quality.
- the invention transmits the information of each charging station to the power grid dispatching command center, and the power grid dispatching command center determines the current power system state according to wind power prediction, load forecasting and grid state monitoring, and generates a corresponding charging control mode, which is adopted.
- Power grids, wind power and power batteries are all favorable control strategies.
- the power battery sends the remaining power of the battery to the power grid.
- the power grid charges the power battery. The time and condition of charging the battery, due to fluctuations in load and uncertainty of wind power, the daily charge and discharge time is not fixed, but is calculated by the program.
- a central computer system is installed in the power battery charging station to collect and process the necessary information from each power battery, such as battery capacity, state of charge (S0C), rated current, rated voltage, and expected charging time.
- S0C state of charge
- the centralized charging method is adopted when charging the power battery at the same charging station, and the intelligent charging of the computer is used to coordinate the charging time, the current level and the charging time of each power battery.
- the charging load curve is a flat curve.
- Fig. 1 is a system configuration diagram of the present invention.
- the invention relates to a coordinated charging and discharging control system for pure electric vehicles combined with wind power generation, which is realized by the following three steps:
- the first step the wind power prediction module of each charging station, the short-term load forecasting module of the power system, The information collected by the automatic power generation control module is transmitted to the power grid dispatching center;
- the second step the grid dispatching center judges the current state of the power system, generates a corresponding charging control mode, and then transmits the information to the charging station centralized coordination monitoring system for information interaction; the power grid dispatching center centrally coordinates the control system communication through the charging station
- the network sends the peaking command to each power battery, that is, the power battery pack; the power battery pack receives the command and is monitored and recorded, and simultaneously feeds the information back to the charging station centralized coordination control system through the communication network; the power battery is organized according to the received command. , planned peaking, and reversed the remaining electricity to the grid;
- the third step the charging station centrally coordinates the monitoring system to receive and monitor the information collected by the charger and its connected power battery pack, the inverter, and the station's power distribution equipment, the smoke sensor, and the battery pack charge and discharge metering module;
- the centralized coordination and monitoring system of the charging station sends the remotely received information to the power grid dispatching center for information interaction, and accepts the instructions of the power grid dispatching center.
- the wind power prediction module of the present invention is a thermometer
- the goal of the physical method is to estimate the meteorological information at the hub height of the wind turbine as accurately as possible. Firstly, using the prediction results of the numerical weather prediction (WP) system, the weather data such as wind speed, wind direction, air pressure and temperature are obtained, and then the wind speed and wind direction of the wind turbine hub height are obtained according to the physical information around the wind turbine, and finally the power curve of the wind turbine is utilized. Calculate the actual output power of the fan.
- WP numerical weather prediction
- the essence of the statistical method is to establish a mapping relationship between the input of the system (NWP, historical statistics, measured data) and wind power, usually a linear relationship.
- This relationship can be expressed in the form of functions such as regression analysis, exponential smoothing, time series, Kalman filtering, grey prediction, etc., all based on linear models.
- the essence of the learning method is to use the artificial intelligence method to extract the relationship between input and output, instead of The form of the analytic method is described.
- the model built in this way is usually a nonlinear model, such as neural network method, wavelet analysis method, support vector machine method, etc., which cannot be directly represented by a mathematical expression.
- the algorithm research will be based on statistical methods and physical methods.
- the ensemble prediction is the main research direction, and the short-term wind power prediction algorithm suitable for various working conditions of wind farms is studied.
- the 0-4 hour ultra-short-term forecast wind power prediction algorithm is studied. After calculation and simulation, the most effective algorithm is selected to realize the dynamic correction of power prediction, which provides an effective basis for the dispatching department to dispatch and ensure the safe and reliable operation of the grid.
- the algorithm research will fully explore various real-time data of wind farms, and select the most suitable ultra-short-term wind power prediction algorithm through case analysis.
- AGC Automatic Generation Control
- AGC Automatic power generation control
- the charging station has a two-way communication function, which can remotely receive commands and transmit power information, and the peaking command is dispatched by the power grid through the centralized coordination control system of the charging station.
- the network is sent to each power battery, and the response of the power battery is monitored, recorded, and fed back to the charging station to coordinate the control system through the communication network.
- the main monitoring object of this module is the charger and its connected power battery pack, as well as the station's power distribution equipment, smoke detector and battery pack charge and discharge metering module. At the same time, the module also interacts with the upper-level centralized monitoring system, that is, the power grid dispatching center.
- a central computer system is installed in the centralized coordination monitoring system of the charging station to collect and process the necessary information from each power battery, such as battery capacity, state of charge (S0C), rated current, rated voltage and expected charging time. Wait.
- the power grid dispatching center will send the power demand command of each charging station to each charging station to centrally coordinate the monitoring system; the charging station centralized coordination monitoring system receives the instruction and performs calculation, and decomposes the target power into actual batteries. Control the amount, and coordinate when each power battery starts charging The charging, the current, the charging time, and the total current demand are not overloaded, and the battery is charged by the charger.
- the main function of this module is to measure the charge and discharge of the power battery.
- the power battery is charged when the wind power is large and the grid load is low.
- the electricity price is cheap at this time; the power battery releases the remaining power to the grid when the grid load peaks (about 9:00 in the evening), and the electricity price is high at this time.
- the metering module can be used to calculate the actual purchase cost of the user.
- the communication network structure of the system of the present invention is as follows:
- Fig. 2 is a structural diagram of a communication network of the present invention.
- the communication network of the system includes a communication network within the charging station and a communication network between the charging station and the dispatching center.
- the communication network of the monitoring system in the charging station uses the controller area network CAN bus. It includes a front-end data acquisition system based on the CAN bus, a personal computer with a CAN interface card, a PC, and other hardware modules with a CAN controller. Compared with the traditional monitoring system based on RS-485 total money, it has obvious advantages in communication capability, reliability, real-time performance, flexibility, ease of use, and transmission distance.
- the communication network of the charging station and the dispatching center adopts Ethernet, adopts a unified network communication protocol--TCP/IP protocol, avoids the trouble of communication between different protocols, and can directly interconnect with the computer of the local area network without additional hardware equipment. It facilitates the sharing of data over the LAN. It adopts a unified network cable, which reduces the wiring cost and difficulty, and avoids the coexistence of multiple buses.
- the power grid dispatching center will send power demand commands to the charging stations through the Ethernet, including the instructions for charging the battery and requiring the battery to be reversely sent to the power grid, and sending it to the charging station to centrally coordinate the monitoring system; the charging station centralized coordination monitoring system receives the After the command is calculated, the target power is decomposed into the actual control amount for each battery, and the task is sent down through the CAN communication bus.
- the charging station centralized coordination monitoring system collects the battery pack charging and discharging metering module and charging through the CAN communication bus. Information on the motor, power battery pack, power distribution equipment, and smoke sensor, and package the information in the station and send it to the grid dispatch center via Ethernet.
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
Description
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CN201110163112.5 | 2011-06-17 | ||
CN2011101631125A CN102324752B (zh) | 2011-06-17 | 2011-06-17 | 结合风力发电的纯电动汽车有序充放电协调控制系统 |
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