Intelligent charging energy-saving control system and method for charging pile

Abstract

The present invention relates to the technical field of charging piles, and in particular to an intelligent charging energy-saving control system and method for charging piles, including configuring a sensor group, collecting grid state parameters in real time, generating a real-time grid fluctuation coefficient, acquiring collected battery state parameters in real time, generating a battery state coefficient based on the collected battery state parameters, generating a charging power coefficient according to the real-time grid fluctuation coefficient and the battery charging state coefficient analysis, generating a charging power coefficient according to the charging power coefficient, and adjusting the charging output power of the charging pile based on the charging power adjustment instruction. The present invention generates a charging power adjustment instruction through the charging power coefficient, and adjusts the charging output power of the charging pile based on the charging power adjustment instruction, that is, realizes real-time dynamic adjustment of the charging power, thereby improving charging efficiency, extending battery life, reducing the load on the grid, and achieving more efficient energy utilization.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to an intelligent charging energy-saving control system and method for charging piles. Background Art

[0002] A charging pile is a device that provides electric vehicles with energy replenishment. It can charge various types of electric vehicles according to the voltage and current. The input end of the charging pile is generally directly connected to the mains, and the output end is equipped with a charging plug for charging electric vehicles. Charging piles generally provide two charging methods: conventional charging and fast charging. People can use a specific charging card to swipe the card on the human-computer interaction interface provided by the charging pile to perform corresponding charging operations and print cost data. The charging pile display can display data such as charging amount, cost, and charging time. With the popularization of electric vehicles, charging piles are important facilities for electric vehicle energy replenishment, and the improvement of their use efficiency and energy utilization has become a hot topic of research.

[0003] The Chinese patent with the authorization announcement number CN112572218B discloses an energy-saving energy storage charging pile. The energy-saving energy storage charging pile includes: a charging pile body, including a battery as a power supply; a battery charging management module connected to the battery for charging the battery; a battery discharge management module connected to the battery for using the battery to provide power to the charging gun to charge the car to be charged; the battery, the battery discharge management module, and the charging gun are connected in sequence; a first controller for controlling the battery charging management module to charge the battery; a second controller for controlling the battery discharge management module to use the battery to charge the car to be charged

[0004] As mentioned in the above application, during the charging process, existing charging piles generally charge based on the set charging pile power. Users directly charge their electric vehicles through the charging piles. The charging process lacks intelligent management and energy-saving control, that is, it is impossible to adjust the charging power in real time based on the fluctuations of the power grid or the battery status data, which reduces the charging efficiency and affects the battery life. Summary of the invention

[0005] In order to solve the above problems, the present invention provides an intelligent charging energy-saving control system and method for a charging pile.

[0006] The present invention adopts the following technical scheme, an intelligent charging energy-saving control method for a charging pile, comprising:

[0007] Configure a sensor group to collect grid state parameters in real time, wherein the grid state parameters include real-time voltage data, real-time current data, and real-time frequency data;

[0008] Processing the grid state parameters to generate voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values, and generating the real-time fluctuation coefficient of the grid according to the voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values;

[0009] The battery status parameters are collected in real time through the sensors configured in the car, and the collected battery status parameters are obtained in real time based on the standardized communication protocol between the charging pile and the electric car;

[0010] generating a battery state coefficient based on the collected battery state parameters;

[0011] Generate a charging power coefficient based on the real-time fluctuation coefficient of the power grid and the battery charging state coefficient, and generate a charging power adjustment instruction based on the charging power coefficient;

[0012] The charging output power of the charging pile is adjusted based on the charging power adjustment instruction.

[0013] As a further description of the above technical solution: the voltage real-time data is recorded as V n , that is, V n represents the voltage real-time data collected for the nth time, and the current real-time data is recorded as I n， That is I n represents the real-time current data collected for the nth time, and the real-time frequency data F n , that is, F n Indicates the frequency real-time data collected for the nth time.

[0014] As a further description of the above technical solution: the method for generating a voltage fluctuation value includes:

[0015] ;

[0016] In the formula, is the voltage fluctuation value, Indicates the real-time voltage data collected for the nth time, is the average value of the voltage real-time data collected n times;

[0017] The method for generating a current fluctuation value comprises:

[0018] ;

[0019] In the formula, is the current fluctuation value, Indicates the real-time current data collected for the nth time, It is the average value of the real-time current data collected n times;

[0020] The method for generating a frequency fluctuation value comprises:

[0021] ;

[0022] In the formula, is the frequency fluctuation value, Indicates the real-time current data collected for the nth time, It is the average value of the real-time current data collected n times.

[0023] As a further description of the above technical solution: the method for generating the real-time fluctuation coefficient of the power grid according to the voltage fluctuation value, the current fluctuation value and the frequency fluctuation value includes:

[0024] ;

[0025] In the formula, is the grid fluctuation coefficient, is the voltage fluctuation value, is the current fluctuation value, is the frequency fluctuation value, , and is the weight coefficient, , and Both are greater than 0.

[0026] As a further description of the above technical solution: the battery status parameters include battery temperature data, battery power data and battery internal resistance.

[0027] As a further description of the above technical solution: the method for generating a battery state coefficient based on the collected battery state parameters includes:

[0028] ;

[0029] In the formula, is the battery state coefficient, The temperature data of the battery, The battery power data, is the internal resistance of the battery, , and is the weight coefficient, , and Both are greater than 0.

[0030] As a further description of the above technical solution: the method for analyzing and generating a charging power coefficient based on the real-time fluctuation coefficient of the power grid and the battery state coefficient includes:

[0031] ;

[0032] In the formula, is the charging power coefficient, is the grid fluctuation coefficient, is the battery state coefficient, and is the weight coefficient, and Both are greater than 0.

[0033] As a further description of the above technical solution: the charging power adjustment instruction includes a first charging power adjustment instruction, a second charging power adjustment instruction, and a third charging power adjustment instruction, and the first charging power adjustment instruction, the second charging power adjustment instruction, and the third charging power adjustment instruction are all to reduce the charging power, and the charging power reduced by the first charging power adjustment instruction, the second charging power adjustment instruction, and the third charging power adjustment instruction increases sequentially.

[0034] As a further description of the above technical solution: the method for generating a charging power adjustment instruction according to a charging power coefficient includes:

[0035] Preset charging power coefficient gradient threshold , and ,in < < ;

[0036] when < When , no charging power adjustment instruction is generated;

[0037] when , a first charging power adjustment instruction is generated;

[0038] when , a second charging power adjustment instruction is generated;

[0039] when ≥ , a third charging power adjustment instruction is generated.

[0040] An intelligent charging energy-saving control system for a charging pile, which is implemented based on the intelligent charging energy-saving control method for a charging pile, comprises:

[0041] A data acquisition module is configured with a sensor group to collect grid state parameters in real time, wherein the grid state parameters include voltage real-time data, current real-time data and frequency real-time data;

[0042] The first data analysis module processes the power grid state parameters to generate voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values, and generates a real-time power grid fluctuation coefficient according to the voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values;

[0043] The data collection module collects the battery status parameters in real time through the sensors configured in the car, and obtains the collected battery status parameters in real time based on the standardized communication protocol between the charging pile and the electric car;

[0044] A second data analysis module generates a battery state coefficient based on the collected battery state parameters;

[0045] The comprehensive data processing module generates a charging power coefficient based on the real-time fluctuation coefficient of the power grid and the battery status coefficient, and generates a charging power adjustment instruction based on the charging power coefficient;

[0046] The power adjustment module adjusts the charging output power of the charging pile based on the charging power adjustment instruction. Beneficial Effects

[0047] The intelligent charging energy-saving control method for a charging pile provided by the present invention, in the process of charging a battery through the charging pile, collects the state parameters of the power grid and the state parameters of the battery in real time, generates the power grid fluctuation coefficient and the battery state coefficient based on the power grid state parameters and the battery state parameters through data analysis and processing, generates the charging power coefficient according to the real-time power grid fluctuation coefficient and the battery state coefficient analysis, generates the charging power coefficient through the charging power coefficient, and adjusts the charging output power of the charging pile based on the charging power adjustment instruction, that is, realizes real-time dynamic adjustment of the charging power, thereby improving the charging efficiency, extending the battery life, reducing the load on the power grid, and realizing more efficient energy utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The present invention will be further explained below in conjunction with the accompanying drawings and embodiments:

[0049] Figure 1 A schematic diagram of a flow chart of an intelligent charging energy-saving control method for a charging pile provided in an embodiment of the present invention;

[0050] Figure 2 This is a module connection diagram of the intelligent charging energy-saving control system for the charging pile provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to make the technical means, creative features, objectives and effects of the present invention easy to understand, the present invention is further described below with reference to specific diagrams. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict. Example 1

[0052] See also Figure 1 The embodiment of the present invention provides a technical solution: an intelligent charging energy-saving control method for a charging pile, comprising:

[0053] A sensor group is configured to collect grid state parameters in real time, wherein the grid state parameters include real-time voltage data, real-time current data, and real-time frequency data.

[0054] The voltage real-time data is recorded as V n , that is, V n represents the voltage real-time data collected for the nth time, and the current real-time data is recorded as I n， That is I n represents the real-time current data collected for the nth time, and the real-time frequency data F n , that is, F n Indicates the frequency real-time data collected for the nth time.

[0055] Processing the grid state parameters to generate voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values, and generating the real-time fluctuation coefficient of the grid according to the voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values;

[0056] The method for generating a voltage fluctuation value comprises:

[0057] ;

[0058] In the formula, is the voltage fluctuation value, Indicates the real-time voltage data collected for the nth time, is the average value of the voltage real-time data collected n times;

[0059] The method for generating a current fluctuation value comprises:

[0060] ;

[0061] In the formula, is the current fluctuation value, Indicates the real-time current data collected for the nth time, It is the average value of the real-time current data collected n times;

[0062] The method for generating a frequency fluctuation value comprises:

[0063] ;

[0064] In the formula, is the frequency fluctuation value, Indicates the real-time current data collected for the nth time, It is the average value of the real-time current data collected n times.

[0065] The method for generating a real-time power grid fluctuation coefficient according to voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values ​​comprises:

[0066] ;

[0067] In the formula, is the grid fluctuation coefficient, is the voltage fluctuation value, is the current fluctuation value, is the frequency fluctuation value, , and is the weight coefficient, , and Both are greater than 0.

[0068] It should be noted that the size of the weight coefficient is to quantify each data to obtain a specific value for subsequent comparison. The size of the weight coefficient depends on the number of comprehensive parameters and the preliminary setting of the corresponding weight coefficient for each set of comprehensive parameters by technical personnel in this field.

[0069] It should be noted that the greater the grid fluctuation coefficient, the greater the grid fluctuation, and vice versa. The greater the grid fluctuation, the lower the charging power needs to be, and vice versa. That is, by reducing the charging power, the charging pile can better adapt to the impact of grid fluctuations, ensure the safety of batteries and charging equipment, and maintain the stability and efficiency of the charging process. This is not only conducive to extending the life of batteries and equipment, but also can reduce the burden on the power grid and promote the stable operation of the power grid.

[0070] The battery status parameters are collected in real time through the sensors configured in the car, and the collected battery status parameters are obtained in real time based on the standardized communication protocol between the charging pile and the electric car;

[0071] The battery status parameters include battery temperature data, battery power data and battery internal resistance.

[0072] The battery internal resistance collection methods that need to be explained include:

[0073] Applying pulse current: A pulse current of known magnitude (usually a discharge or charge pulse) is applied across the battery and maintained for a period of time.

[0074] Measure voltage change: Record the voltage change before and after the pulse is applied.

[0075] Calculate internal resistance: According to Ohm's law, the internal resistance of the battery can be calculated from the voltage change and current change.

[0076] generating a battery state coefficient based on the collected battery state parameters;

[0077] The method for generating a battery state coefficient based on the collected battery state parameters includes:

[0078] ;

[0079] In the formula, is the battery state coefficient, The temperature data of the battery, The battery power data, is the internal resistance of the battery, , and is the weight coefficient, , and Both are greater than 0.

[0080] It should be noted that the size of the weight coefficient is to quantify each data to obtain a specific value for subsequent comparison. The size of the weight coefficient depends on the number of comprehensive parameters and the preliminary setting of the corresponding weight coefficient for each set of comprehensive parameters by technical personnel in this field.

[0081] It should be noted that the larger the battery state coefficient, the lower the charging power required, and vice versa.

[0082] When the battery temperature data is higher, the charging power needs to be reduced to avoid overheating of the battery. Secondly, when the battery power data is larger, the charging power also needs to be reduced to avoid overcharging of the battery. When the internal resistance of the battery is larger, the charging power can be reduced to reduce heat generation, improve charging efficiency, and protect battery life. That is, the larger the internal resistance of the battery, the smaller the charging power, and vice versa. The increase in the internal resistance of the battery usually indicates that the battery is aged or deteriorated. For aging batteries, high-power charging will accelerate the aging process, further increase the internal resistance, and form a vicious cycle. Batteries with larger internal resistance will have a larger voltage drop during the charging process. The larger voltage drop will cause part of the energy to be lost on the internal resistance, reducing the charging efficiency.

[0083] Generate a charging power coefficient based on the real-time fluctuation coefficient of the power grid and the battery charging state coefficient, and generate a charging power adjustment instruction based on the charging power coefficient;

[0084] The charging output power of the charging pile is adjusted based on the charging power adjustment instruction.

[0085] The method for analyzing and generating a charging power coefficient based on a real-time power grid fluctuation coefficient and a battery state coefficient includes:

[0086] ;

[0087] In the formula, is the charging power coefficient, is the grid fluctuation coefficient, is the battery state coefficient, and is the weight coefficient, and Both are greater than 0.

[0088] It should be noted that the larger the charging power coefficient, the smaller the charging power required, and vice versa.

[0089] The charging power adjustment instruction includes a first charging power adjustment instruction, a second charging power adjustment instruction, and a third charging power adjustment instruction, and the first charging power adjustment instruction, the second charging power adjustment instruction, and the third charging power adjustment instruction all reduce the charging power, and the charging power reduced by the first charging power adjustment instruction, the second charging power adjustment instruction, and the third charging power adjustment instruction increases sequentially.

[0090] The method for generating a charging power adjustment instruction according to a charging power coefficient includes:

[0091] Preset charging power coefficient gradient threshold , and ,in < < ; The charging power coefficient gradient threshold , and It is determined by those skilled in the art based on a large number of experiments.

[0092] when < When , no charging power adjustment instruction is generated;

[0093] when , a first charging power adjustment instruction is generated;

[0094] when , a second charging power adjustment instruction is generated;

[0095] when ≥ , a third charging power adjustment instruction is generated.

[0096] Specifically, the charging pile uses an intelligent charging energy-saving control method. In the process of charging the battery through the charging pile, the power grid state parameters and the battery state parameters are collected in real time, and the power grid fluctuation coefficient and the battery state coefficient are generated based on the power grid state parameters and the battery state parameters through data analysis and processing. The charging power coefficient is generated according to the real-time power grid fluctuation coefficient and the battery state coefficient analysis, and a charging power adjustment instruction is generated through the charging power coefficient. The charging output power of the charging pile is adjusted based on the charging power adjustment instruction, that is, real-time dynamic adjustment of the charging power is realized, thereby improving charging efficiency, extending battery life, reducing the load on the power grid, and achieving more efficient energy utilization. Example 2

[0097] See also Figure 2 , an intelligent charging energy-saving control system for a charging pile, which is implemented based on the intelligent charging energy-saving control method for a charging pile, comprising:

[0098] A data acquisition module is configured with a sensor group to collect grid state parameters in real time, wherein the grid state parameters include voltage real-time data, current real-time data and frequency real-time data;

[0099] The first data analysis module processes the power grid state parameters to generate voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values, and generates a real-time power grid fluctuation coefficient according to the voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values;

[0100] The data collection module collects the battery status parameters in real time through the sensors configured in the car, and obtains the collected battery status parameters in real time based on the standardized communication protocol between the charging pile and the electric car;

[0101] A second data analysis module generates a battery state coefficient based on the collected battery state parameters;

[0102] The comprehensive data processing module generates a charging power coefficient based on the real-time fluctuation coefficient of the power grid and the battery status coefficient, and generates a charging power adjustment instruction based on the charging power coefficient;

[0103] The power adjustment module adjusts the charging output power of the charging pile based on the charging power adjustment instruction.

[0104] The basic principles, main features and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and the description in the specification are only to illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent charging energy-saving control method for a charging pile, characterized in that: include: Configure a sensor group to collect grid state parameters in real time, wherein the grid state parameters include real-time voltage data, real-time current data, and real-time frequency data; Processing the grid state parameters to generate voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values, and generating the real-time fluctuation coefficient of the grid according to the voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values; The battery status parameters are collected in real time through the sensors configured in the car, and the collected battery status parameters are obtained in real time based on the standardized communication protocol between the charging pile and the electric car; generating a battery state coefficient based on the collected battery state parameters; Generate a charging power coefficient based on the real-time fluctuation coefficient of the power grid and the battery charging state coefficient, and generate a charging power adjustment instruction based on the charging power coefficient; Adjusting the charging output power of the charging pile based on the charging power adjustment instruction; The method for generating a real-time power grid fluctuation coefficient according to voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values ​​comprises: ； In the formula, DWxs is the grid fluctuation coefficient, Vbdz is the voltage fluctuation value, Ibdz is the current fluctuation value, and Fbdz is the frequency fluctuation value. , and is the weight coefficient, , and All are greater than 0; The method for generating a voltage fluctuation value comprises: ； Where Vbdz is the voltage fluctuation value, Indicates the real-time voltage data collected for the nth time, is the average value of the voltage real-time data collected n times; The method for generating a current fluctuation value comprises: ； Where Ibdz is the current fluctuation value, Indicates the real-time current data collected for the nth time, It is the average value of the real-time current data collected n times; The method for generating a frequency fluctuation value comprises: ； Where Fbdz is the frequency fluctuation value, Indicates the real-time current data collected for the nth time, It is the average value of the real-time current data collected n times.

2. The intelligent charging energy-saving control method for a charging pile according to claim 1, characterized in that: The battery status parameters include battery temperature data, battery power data and battery internal resistance.

3. The intelligent charging energy-saving control method for a charging pile according to claim 2, characterized in that: The method for generating a battery state coefficient based on the collected battery state parameters includes: ； In the formula, DCxs is the battery state coefficient, Tw is the battery temperature data, Ddl is the battery power data, and Dr is the battery internal resistance. , and is the weight coefficient, , and Both are greater than 0.

4. The intelligent charging energy-saving control method for a charging pile according to claim 3, characterized in that: The method for analyzing and generating a charging power coefficient based on a real-time power grid fluctuation coefficient and a battery state coefficient includes: ； In the formula, CDxs is the charging power coefficient, DWxs is the grid fluctuation coefficient, DCxs is the battery state coefficient, and is the weight coefficient, and Both are greater than 0.

5. The intelligent charging energy-saving control method for charging piles according to claim 4, characterized in that: The charging power adjustment instruction includes a first charging power adjustment instruction, a second charging power adjustment instruction, and a third charging power adjustment instruction, and the first charging power adjustment instruction, the second charging power adjustment instruction, and the third charging power adjustment instruction all reduce the charging power, and the charging power reduced by the first charging power adjustment instruction, the second charging power adjustment instruction, and the third charging power adjustment instruction increases sequentially.

6. The intelligent charging energy-saving control method for a charging pile according to claim 5, characterized in that: The method for generating a charging power adjustment instruction according to a charging power coefficient includes: Preset charging power coefficient gradient thresholds CD1, CD2 and CD3, where CD1<CD2<CD3; When CDxs<CD1, no charging power adjustment instruction is generated; When CD1≤CDxs<CD2, a first charging power adjustment instruction is generated; When CD2≤CDxs<CD3, a second charging power adjustment instruction is generated; When CDxs≥CD3, a third charging power adjustment instruction is generated.

7. An intelligent charging energy-saving control system for a charging pile, which is implemented based on the intelligent charging energy-saving control method for a charging pile according to any one of claims 1 to 6, characterized in that: include: A data acquisition module is configured with a sensor group to collect grid state parameters in real time, wherein the grid state parameters include voltage real-time data, current real-time data and frequency real-time data; The first data analysis module processes the power grid state parameters to generate voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values, and generates a real-time power grid fluctuation coefficient according to the voltage fluctuation values, current fluctuation values ​​and frequency fluctuation values; The data collection module collects the battery status parameters in real time through the sensors configured in the car, and obtains the collected battery status parameters in real time based on the standardized communication protocol between the charging pile and the electric car; A second data analysis module generates a battery state coefficient based on the collected battery state parameters; The comprehensive data processing module generates a charging power coefficient based on the real-time fluctuation coefficient of the power grid and the battery status coefficient, and generates a charging power adjustment instruction based on the charging power coefficient; The power adjustment module adjusts the charging output power of the charging pile based on the charging power adjustment instruction.

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