KR20220073568A - Time calculation module for electric vehicle battery charging - Google Patents

Abstract

The present invention relates to a smart microgrid operating system and method for an electric vehicle.
To this end, the smart microgrid operating system for an electric vehicle according to the present invention includes an energy input module, an energy production information receiving module, an energy use information receiving module, a storage information receiving module, an operation module, and a control module. The energy input module receives electric energy from a distributed power source including a renewable energy source or a new energy source. The energy production information receiving module receives energy production information related to the electric energy production of the distributed power source. The energy use information receiving module receives energy use information related to the use of electric energy from an energy consumer. The storage information receiving module receives storage information about a plurality of storages having different characteristics. The calculation module calculates an energy map to minimize electricity bills based on the energy production information, energy use information, and storage information. The energy control module is characterized in that the electric energy of the distributed power is stored in the storage selected according to the energy map, and controls the electric energy to be output from the selected storage.

Description

Electric vehicle battery charging time calculation module {TIME CALCULATION MODULE FOR ELECTRIC VEHICLE BATTERY CHARGING}

The present invention relates to a smart micro-grid operating system and method for an electric vehicle, and more particularly, to efficiently supply appropriate electricity to an electric vehicle in consideration of the external environment and various elements of the electric energy supply system affected by it. It's about technology.

The current electric vehicle power infrastructure is centrally produced, then unilaterally transmitted and distributed, and unilaterally supplied based on a fixed voltage. However, the voltage required by each household or electric vehicle is different, and some households or automobiles use a large amount of electricity, so it is necessary to supply power by a larger voltage, and in some households or automobiles, the opposite is true. As a result, there are also households that either directly install solar panels to self-sufficiency in the energy produced, or sell the surplus power to utility operators. In the future, plug-in hybrid cars are expected to show rapid growth over the next 20 years, and if this happens, cars that previously operated only with gasoline/diesel will occupy a large portion of household electricity consumption. In addition, rather than paying high electricity bills by continuously receiving power from utility operators, a self-sufficient energy facility consisting of renewable energy and energy storage devices or a larger micro-grid for each household, The need to organize by building and by region will also increase. In the case of microgrid, consumers who have the ability to supply power as well as their own consumption by their own power generation facilities have appeared on the power supply network, but in the existing power supply network, these self-generation consumers are only financially self-sufficient. It is a technology and a new power production/consumption model that maximizes the energy utilization of the entire network by utilizing the electric energy produced by self-generated consumers scattered across the power supply network. . For such grids, the ones that are made on a regionally small scale are called Micro-Grids, and those that are done over a wide area at the national level are called by various names such as Smart Grid, Super Grid, and Smart Electric Grid. In general, a microgrid system consists of a plurality of distributed power sources such as wind power generation, solar power generation, and fuel cells, an energy storage device such as a storage battery storage device, and a plurality of loads. connected.

In view of the global change of perception, the government's promotion, and the consequent market flow, a system that can flexibly and efficiently tie up various energy sources and new types and sources of energy demand in the future will be required. However, this system presents significant technical difficulties due to its non-linear nature and difficult forward-looking nature. For example, a hybrid car consists of only two energy sources (engine and battery), but optimization is quite difficult due to the diversity of energy consumption patterns. Therefore, there is a need for a system that can flexibly integrate and operate more energy sources and more diverse sources of energy demand to achieve optimal results, that is, energy consumption satisfaction with minimal voltage.

An object of the present invention is to provide a system and method capable of realizing energy consumption satisfaction with an optimal result, ie, a minimum voltage, by flexibly integrating and operating many distributed power sources and various energy demanders. In addition, the purpose of the system is to operate the system in consideration of the external environment and various factors of the electricity supply system affected by it.

In order to achieve this object, a smart microgrid operating system for an electric vehicle according to the present invention includes an energy input module, an electric vehicle battery residual power receiving module, an electric vehicle battery full charge time calculation module, an operation module, and a control module. .

The energy input module receives electrical energy from a power source. The electric vehicle battery residual power receiving module receives information on residual electric power of a battery of the electric vehicle. The electric vehicle battery full charging time calculation module calculates a time required for the electric vehicle battery to be fully charged.

The calculation module calculates an energy map for optimizing the supply power based on the information of the energy input module, the electric vehicle battery remaining power receiving module, and the electric vehicle battery full-charging time calculation module. The energy control module stores electrical energy of the distributed power source in a storage selected according to the energy map and controls the electrical energy to be output from the selected storage.

As described above, according to the present invention, it is possible to provide a system and method capable of realizing energy consumption satisfaction with an optimal result, i.e., a minimum voltage, by flexibly integrating and operating many distributed power sources and various energy demanders. , it is possible to provide a smart microgrid operating system for an electric vehicle that allows the system to be operated in consideration of the external environment and various factors of the electricity supply system affected by it.

1 is a view showing a schematic configuration of a smart micro-grid (Smart Micro-Grid) operating system for an electric vehicle according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The operating system 100 according to the present invention is installed in an energy demanding site (Site) for each specific small-scale regional unit or global unit, such as a school, an industrial complex, etc. It is configured to include a receiving module 120 , an electric vehicle battery full charging time required calculation module 130 , an operation module 140 , a control module 150 , and the like. The energy input module 110 receives electrical energy from a commercial power source 11 , a renewable energy source 12 , or a distributed power source 10 including a new energy source 13 . Here, the commercial power source 11 means a generator of a power company such as KEPCO, and the renewable energy source 12 is a non-polluting renewable energy source such as solar heat, solar power, bio-energy, wind power, and hydro power that can replace fossil fuels and nuclear power. It is a generator using possible energy, and the new energy source 13 refers to a generator using a new energy different from the conventional one, such as hydrogen, fuel cell, and coal liquefied gas.

The electric vehicle battery residual power receiving module 120 receives information about the residual electric power of the battery of the electric vehicle. In general, since the renewable energy source 12 such as solar or wind power is essentially dependent on the natural environment for its power generation, the electrical energy production is sensitive to external environments such as weather conditions, and accordingly, the amount of power generation is irregular. , it is quite difficult to predict. In the case of solar power generation, electrical energy production is affected not only by very narrow weather and temperature, but also by dust from the panel, and wind power is also affected by isthmus wind speed. In addition, in the case of a new energy source such as a fuel cell, since there is an initial preparation time required for electric energy production, it is difficult to quickly supply electric energy. In order to use a solid oxide fuel cell, a temperature of 800 to 1000 degrees Celsius must be satisfied, and it takes time to increase the temperature to the above temperature. Polymer Electrolyte Membrane (Polymer Electrolyte Membrane) fuel cells have to satisfy not only an appropriate temperature (~80 degrees) but also an appropriate humidity condition, so it takes time to prepare for this. If these various variables and non-ideal phenomena are not taken into account, the operating system 100 according to the present invention cannot be operated stably, and unnecessary power consumption is inevitable.

Accordingly, the energy production information in the present invention includes information on the amount of electrical energy produced by each distributed power supply 10 , external information affecting the electrical energy production of each distributed power supply 10 , and electricity of each distributed power supply 10 . It is preferable to include at least one or more of information on energy production cost.

First, the information on the electrical energy production means information about how much electrical energy is produced from which distributed power source 10, and in the case of the renewable energy source 12, the electrical energy production is changed by the external environment. However, it is necessary to monitor the electrical energy production.

External information that affects electrical energy production means variables that affect electrical energy production, such as weather, temperature, and wind speed. As described above, renewable energy sources 12 such as solar power generation and wind power generation Since the stability or quality of power supply may be lower than that of the commercial power source 11 or the new energy source 13, real-time monitoring is performed. Such weather, temperature, wind speed, etc. can be grasped through regional temperature information from the Meteorological Agency database, or through a temperature sensor.

Meanwhile, the electric vehicle battery full charge time calculation module 130 calculates the time required until the electric vehicle battery is fully charged.

The calculation module 140 calculates an energy map so that electricity bills can be minimized based on energy production information, energy use information, and storage information. The energy map is an optimization algorithm that predicts the electric energy production of each distributed power source 10 and the electric energy consumption at the energy demand place in the short term, and minimizes the electricity cost by considering the electricity price for each distributed power source 10 in real time. It is a result generated through That is, the operation module 140 derives an optimal combination by comparing the purchase price per KW of the cost incurred when receiving power from each storage 20 and using it, and the energy control module 150 uses this optimal combination to output electrical energy. The control module 150 controls so that the electric energy of the distributed power supply 10 is stored in the storage 20 selected according to the energy map, and the electric energy is output from the selected storage 20 . To this end, the energy map includes information for selecting the storage 20 in which the electric energy of the renewable energy source 12 is to be stored in consideration of the charging characteristics and input/output speed characteristics of the storage 20 so that the electricity bill can be minimized do. For example, if the power supply of the renewable energy source 12 is smooth, the energy control module 150 controls the electric energy of the renewable energy source 12 so that the power of the rapidly changing renewable energy source 12 is stably supplied to the load. After being temporarily stored in the first storage 21, it is controlled to be supplied to the energy demanding destination. In addition, the surplus electric energy of the renewable energy source 12 is stored in the second storage 22 or the third storage 23 so that the electric charge can be minimized, thereby securing as much environmentally friendly and cheap electric energy as possible. The electricity rate of the fuel cell is more expensive than that of a renewable energy source, but because it is a new energy source, it is cheaper than commercial power, so that when there is no surplus electric energy in the second storage 22, the electric energy of the fuel cell is supplied. If the distributed power source 10 is composed of a used power source, solar power generation, wind power generation, and fuel cell, the battery and fuel cell are charged with electric energy, and the weather is clear and no wind blows, the amount of power generated by the wind power generation is quite high. will be less In this case, first, the electric energy produced by the cheapest solar power generation is supplied to the energy demanding party, and when the supply is insufficient, the electric energy of the battery is supplied to the energy demanding party, so that the electricity bill can be minimized. And when the battery is discharged, the electric energy of the fuel cell is used. However, in the case of fuel cells, since an initial preparation time is required to produce electric energy, electric energy is supplied from commercial power only during the initial preparation time, and from the point in time when electric energy is supplied from the fuel cell, electric energy supplied from commercial power After shutting off the power supply, electric energy can be supplied from the fuel cell, but it is desirable to increase economic efficiency by operating a fuel cell, which is cheaper than commercial power, in advance.

As described above, factors that are complex, difficult to predict, and exhibit non-linear behavior such as external environment such as weather, temperature, humidity, etc., electrical energy production affected by them, and electricity rates corresponding to the distributed power supply 10 are taken into consideration. Therefore, since the operating system 100 can be operated, it is possible to stably drive the complex operating system 100 and control it in an efficient manner. savings are possible

On the other hand, since the normal power consumption is not constant according to the characteristics of the energy demander or the season, there is a limit to actively responding to the energy demand with the intermittent electric energy of the renewable energy source 12 .

Accordingly, the operating system 100 of the present invention is configured to further include a usage pattern database 160 for storing energy usage pattern information related to an electric energy usage pattern, and the operation module 150 receives the energy usage pattern information. Calculate the energy map with further consideration.

The energy use pattern information is an electric energy use pattern such as a time of day when energy consumption is high at an energy demander or a maximum amount of power consumption, and the calculation module 150 applies this to an optimization algorithm to generate an energy map.

In the energy map, when the electric energy of the renewable energy source 12 is predicted to be used immediately through the energy use pattern information, the electric energy of the renewable energy source 12 is temporarily stored in the first storage 21 having the fastest input/output speed. and the surplus electrical energy of the renewable energy source 12 is stored in the second storage 22, which has a slower input/output speed compared to the first storage 21, and when there is no charge remaining in the second storage 22, electricity It includes information for storing the electrical energy of the renewable energy source 12 in the third storage 23 capable of long-term storage of energy. Since the first, second, and third storages 21, 22, and 23 are the same as described above, a description thereof will be omitted.

For example, through the usage pattern database 160, there is an energy demander having a pattern in which the amount of electrical energy consumption is maximized at night, the second and third storages 22 and 23 are in a discharged state, and the monitoring result of the external environment , the current environment with sufficient light and wind, the operation module 150 generates an energy map so that the electricity bill can be minimized based on the pattern, storage, and environmental information. According to the energy map, the energy control module 160 temporarily stores electrical energy produced from solar power generation and wind power generation, which have the lowest electricity rates, in the first storage 21, and then supplies it to the energy demander, thereby Minimize the use of power to maximize the effect of saving electricity bills. If there is not much power consumption in the energy demanding place, the electric energy of the wind power generation will be stored in the second storage 22 . When the surplus electrical energy is all stored in the second storage 22 , the remaining surplus electrical energy is stored in the third storage 23 . In this situation, at night, since electric energy cannot be produced from solar power generation, an electric energy source other than wind power is required. Therefore, the calculation module 140 generates a combination of wind power generation and other distributed power sources 10 as an optimized result. Since the charge amount of the second storage 22 is sufficient, the electric energy of the second storage 22 is converted into energy. supply to demand. If there is no wind at night, so it is impossible to operate the wind power generation, and as a result of the power consumption pattern analysis, the power consumption is expected to increase in the future, it is impossible to stably supply the electric energy stored in the second storage 22 , in this case the third The storage 23 is activated. At this time, since the third storage 23 requires an initial preparation time as a new energy source, the new energy source is operated in advance before the second storage 22 is discharged in consideration of this. These are combined to be the cheapest to produce an optimized result.

According to the present invention, since a more sophisticated prediction is possible by continuously updating the electric energy usage pattern at the consumer and calculating the energy map, how much electric energy is produced and stored by efficiently controlling the operating system 100 By calculating the energy map in consideration of information such as , and how much cost is consumed, it is possible to produce results that can optimize the consumption and distribution of electrical energy.

The above description is merely illustrative of the technical spirit of the present invention, and various modifications and variations will be possible without departing from the essential characteristics of the present invention by those skilled in the art to which the present invention pertains. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

100: operating system according to the present invention
110: energy input module
120: electric vehicle battery residual power receiving module
130: electric vehicle battery full charge time calculation module
140: operation module
150: control module

Claims (2)

A smart microgrid operating system for an electric vehicle for an electric vehicle, including an energy input module, an electric vehicle battery residual power receiving module, an electric vehicle battery full charge time calculation module, an operation module and a control module. According to claim 1, wherein the energy input module is supplied with electric energy from a power source, the electric vehicle battery residual power receiving module receives information about the remaining power of the battery of the electric vehicle, the time required to fully charge the electric vehicle battery The calculation module calculates the time it takes for the electric vehicle battery to be fully charged, and the operation module is based on the information of the energy input module, the electric vehicle battery residual power receiving module, and the electric vehicle battery full charge time calculation module. For an electric vehicle that calculates an energy map so that the supply power can be optimized, and the energy control module controls so that electric energy of distributed power is stored in a storage selected according to the energy map, and electric energy is output from the selected storage Smart microgrid operating system.

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