Energy and electricity storage mobile charging pile system based on multi-energy complementary micro-grid

Abstract

The invention discloses an energy storage and power storage mobile charging pile system based on a multi-energy complementary micro-grid, and relates to the technical field of charging piles, and the system comprises a micro-grid module which is used for producing and storing electric energy; wherein the micro-grid module is internally integrated with a power generation unit, and the power generation unit is used for collecting multiple kinds of energy for power generation; and the energy storage unit is used for storing the electric energy generated by the power generation unit. By analyzing the external charging network, the real-time state of the external charging network is determined, when the electric vehicle is charged at the charging peak, the voltage is reduced, and the charging time is prolonged, judgment is carried out through the real-time charging power and the output power of the mobile charging pile, and energy supplementation is carried out on the electric vehicle through the mobile charging pile; the situation that the charging time of the electric vehicle is prolonged is avoided, in addition, when the electric vehicle is charged in the charging peak, the charging cost is increased, and therefore the cost can be effectively reduced by supplementing energy through the mobile charging pile.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to an energy storage and electricity storage mobile charging pile system based on a multi-energy complementary microgrid. Background Art

[0002] A microgrid is a small power system that can be connected to or disconnected from the main grid. Multi-energy complementarity refers to combining multiple energy forms (such as solar energy, wind energy, natural gas power generation, etc.) to improve the stability and energy efficiency of the system.

[0003] When charging, existing electric vehicles do not analyze the external power supply. When the external power supply is at its peak, the voltage drops. Mobile charging piles are not selected to charge the electric vehicles, resulting in a decrease in the charging rate of the electric vehicles and prolonging the charging time of the electric vehicles. Summary of the invention

[0004] In order to solve the above technical problems, a mobile energy storage and electricity storage pile system based on a multi-energy complementary microgrid is provided. This technical solution solves the problem mentioned in the above background technology that the existing electric vehicles do not analyze the external power supply when charging. When the external power supply is at its peak, the voltage drops and the mobile charging pile is not selected to charge the electric vehicle, resulting in a decrease in the charging rate of the electric vehicle and a prolonged charging time of the electric vehicle.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] The energy storage mobile charging pile system based on multi-energy complementary microgrid includes:

[0007] A microgrid module, wherein the microgrid module is used to generate and store electrical energy;

[0008] The microgrid module is internally integrated with:

[0009] A power generation unit, wherein the power generation unit is used to collect multiple energy sources to generate electricity;

[0010] An energy storage unit, the energy storage unit is used to store the electric energy generated by the power generation unit;

[0011] A mobile charging pile, which is used to charge electric vehicles;

[0012] A data acquisition module, wherein the data acquisition module is used to collect battery data of the electric vehicle, power generation data of the power generation unit, energy storage data of the energy storage unit, and charging data, and obtain battery-related data, power generation-related data, energy storage-related data, and charging-related data;

[0013] A data analysis module, wherein the data analysis module analyzes the battery-related data, the power generation-related data, the energy storage-related data, and the charging-related data, and selects a mobile charging pile state, wherein the mobile charging pile state is any one of an open state and a closed state;

[0014] The data analysis module is internally integrated with:

[0015] A data preprocessing unit, the data preprocessing unit is used to preprocess the battery related data, the power generation related data, the energy storage related data and the charging related data, and obtain the battery data, the power generation data, the energy storage data and the charging data;

[0016] A data calculation unit, wherein the data calculation unit calculates the battery data, power generation data, energy storage data and charging data respectively, and obtains the average charging power, the real-time power generation status, the average energy storage growth data, the energy loss offset, and the corrected average charging power;

[0017] A battery status analysis unit, which performs analysis based on battery data to obtain a real-time battery status;

[0018] A power generation status analysis unit, which performs analysis based on power generation data to obtain a real-time power generation status;

[0019] An energy storage state analysis unit, which performs analysis based on the real-time state of power generation and energy storage data to obtain the real-time state of energy storage;

[0020] A charging state analysis unit, wherein the charging state analysis unit performs analysis based on the charging data to obtain a corrected average charging power;

[0021] The state selection unit performs a comprehensive analysis based on the real-time state of the battery, the real-time state of power generation, the real-time state of energy storage and the corrected average charging power, selects the state of the mobile charging pile and determines the charging mode.

[0022] Preferably, the battery status analysis unit performs analysis based on the battery data to obtain the real-time battery status, specifically comprising the following steps:

[0023] Based on the battery status analysis unit, the battery data is traversed and processed to obtain the initial energy data of the battery;

[0024] Based on the initial energy data of the battery, the battery data is positioned and processed to obtain the initial charging time;

[0025] Based on the data collection module, data is collected at the existing time to obtain real-time time data;

[0026] Based on real-time time data, perform location query processing on battery data to obtain real-time battery energy data;

[0027] Based on the data calculation unit, the battery initial energy data, the initial charging time, the real-time time data and the battery real-time energy data are calculated and processed to obtain the average charging power;

[0028] The specific calculation formula for obtaining the average charging power is:

[0029]

[0030] Where P a is the average charging power; P r Real-time energy data for the battery; i is the initial energy data of the battery; T r is real-time time data; T i This is the initial time of charging.

[0031] Preferably, the power generation status analysis unit performs analysis based on the power generation data to obtain the real-time power generation status, specifically comprising the following steps:

[0032] Based on the data acquisition module, real-time data of multiple power generation energy sources are obtained, wherein the multiple power generation energy sources include solar energy, wind energy and natural gas;

[0033] Based on the power generation unit, analyze the real-time data of various power generation energy sources to obtain the real-time status of power generation;

[0034] The specific calculation model for obtaining the real-time state of power generation is:

[0035] P b =P1×α+P2×β+P3×γ;

[0036] Where P b is the real-time status of power generation; P1 is the real-time status of solar energy; α is the solar energy conversion rate; P2 is the real-time status of wind energy; β is the wind energy conversion rate; P3 is the real-time status of natural gas; γ is the natural gas conversion rate.

[0037] Preferably, the energy storage state analysis unit performs analysis based on the real-time power generation state and energy storage data, and obtaining the real-time energy storage state specifically includes the following steps:

[0038] Based on the energy storage unit, original energy storage information of the energy storage unit is obtained;

[0039] Based on the energy storage state analysis unit, the energy storage data is analyzed to obtain the real-time state of energy storage and the start time of energy storage change;

[0040] Based on the data calculation unit, the real-time state of energy storage, original energy storage information, the starting time of energy storage change and real-time time data are calculated to obtain the average growth data of energy storage;

[0041] Based on the data calculation unit, the average growth data of energy storage and the real-time status of power generation are calculated to obtain the energy loss offset;

[0042] The specific calculation formula for obtaining the average growth data of energy storage is:

[0043]

[0044] Where P c is the average growth data of energy storage; P4 is the real-time status of energy storage; P5 is the original energy storage information; T r is real-time time data; T a is the starting time of energy storage change.

[0045] Preferably, the charging state analysis unit performs analysis based on the charging data to obtain the corrected average charging power, specifically comprising the following steps:

[0046] Based on the charging initial time, real-time time data and battery data, a curve is drawn to obtain a battery charging power change curve, wherein the horizontal axis parameter of the battery charging power change curve is time, and the vertical axis parameter of the battery charging power change curve is power;

[0047] Based on the data calculation unit, the charging average power is corrected and calculated according to the battery charging power change curve to obtain the corrected charging average power;

[0048] Based on the charging status analysis unit, the battery data is located and queried through the real-time time data to obtain the real-time charging power.

[0049] Preferably, the data calculation unit performs correction calculation processing on the average charging power through the battery charging power change curve to obtain the corrected average charging power, which specifically includes the following steps:

[0050] Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed to obtain the maximum charging power and the minimum charging power of the battery;

[0051] Based on the maximum charging power of the battery and the minimum charging power of the battery, a secondary analysis is performed on the battery charging power change curve to obtain the duration corresponding to the maximum charging power of the battery and the duration corresponding to the minimum charging power of the battery;

[0052] Performing a judgment process according to a duration corresponding to a maximum charging power of the battery and a duration corresponding to a minimum charging power of the battery to obtain a first judgment result;

[0053] Based on the first judgment result, a correction calculation process is performed on the charging average power to obtain a corrected charging average power.

[0054] Preferably, the determination process is performed according to the duration corresponding to the maximum charging power of the battery and the duration corresponding to the minimum charging power of the battery to obtain the first determination result, specifically comprising the following steps:

[0055] Making a judgment based on a duration corresponding to the maximum charging power of the battery and a set first threshold;

[0056] If the duration corresponding to the maximum charging power of the battery is greater than or equal to the set first threshold, retaining the maximum charging power of the battery;

[0057] If the duration corresponding to the maximum charging power of the battery is less than the set first threshold, the maximum charging power of the battery is discarded;

[0058] Making a judgment based on the duration corresponding to the minimum charging power of the battery and a set second threshold;

[0059] If the duration corresponding to the minimum charging power of the battery is greater than or equal to the set second threshold, retaining the minimum charging power of the battery;

[0060] If the duration corresponding to the minimum charging power of the battery is less than the set second threshold, the minimum charging power of the battery is discarded.

[0061] Preferably, the correcting calculation processing of the average charging power based on the judgment result to obtain the corrected average charging power specifically includes the following steps:

[0062] If the judgment result is to retain the maximum charging power of the battery and the minimum charging power of the battery;

[0063] Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is:

[0064]

[0065] Where P ε P is the corrected average charging power; a is the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment;

[0066] If the judgment result is any one of the maximum charging power of the discarded battery and the minimum charging power of the discarded battery;

[0067] Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed, and the maximum charging power of the battery or the minimum charging power of the battery is re-selected for judgment;

[0068] Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is:

[0069]

[0070] Where P ε P is the corrected average charging power; a is the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment;

[0071] If the judgment result is to discard the maximum charging power of the battery and the minimum charging power of the battery;

[0072] Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed, and the maximum charging power and the minimum charging power of the battery are re-selected for judgment;

[0073] Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is:

[0074]

[0075] Where P ε P is the corrected average charging power; a is the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment.

[0076] Preferably, the state selection unit performs a comprehensive analysis based on the real-time state of the battery, the real-time state of power generation, the real-time state of energy storage and the corrected average charging power, selects the state of the mobile charging pile, and determines the charging mode, specifically including the following steps:

[0077] Based on the battery data, obtain the battery capacity;

[0078] Based on the data calculation unit, the battery capacity and the real-time energy data of the battery are calculated and processed to obtain the energy data to be charged;

[0079] Based on the data acquisition module, data is collected on the mobile charging pile to obtain the output power of the mobile charging pile;

[0080] Perform judgment based on the real-time charging power, the corrected average charging power, and the output power of the mobile charging pile to obtain a second judgment result;

[0081] If the real-time charging power is greater than the corrected average charging power, the real-time charging power is output and compared with the output power of the mobile charging pile for judgment;

[0082] If the real-time charging power is greater than or equal to the output power of the mobile charging pile, the mobile charging pile is shut down;

[0083] If the real-time charging power is less than or equal to the output power of the mobile charging pile, the mobile charging pile is turned on;

[0084] If the real-time charging power is less than the corrected average charging power, the output mobile charging pile is turned on;

[0085] Based on the second determination result, a charging mode is determined.

[0086] Preferably, determining the charging mode based on the second judgment result specifically includes the following steps:

[0087] If the mobile charging station is turned on;

[0088] Calculate based on average energy storage growth data and energy loss offset to obtain real energy storage growth data;

[0089] Make judgments based on the data of energy to be charged and the real-time status of energy storage;

[0090] If the data of energy to be charged is greater than the real-time state of energy storage, and the real energy storage growth data is greater than or equal to the real-time charging power, the external charging is turned off and the mobile charging pile charges the battery;

[0091] If the energy data to be charged is greater than the real-time state of energy storage, and the actual energy storage growth data is less than the real-time charging power, the external charger and the mobile charging pile charge the battery at the same time;

[0092] If the data of energy to be charged is less than the real-time state of energy storage, the external charging is turned off and the mobile charging pile charges the battery.

[0093] Compared with the prior art, the present invention provides an energy storage mobile charging pile system based on a multi-energy complementary microgrid, which has the following beneficial effects:

[0094] The present invention determines the real-time status of the external charging network by analyzing the external charging network. When the electric vehicle is charged at the charging peak, the voltage drops, resulting in an increase in the charging time. The real-time charging power and the output power of the mobile charging pile are used to make a judgment, and the electric vehicle is supplemented with energy through the mobile charging pile to avoid the increase in the charging time of the electric vehicle. In addition, when the electric vehicle is charged at the charging peak, the charging cost will increase. Therefore, supplementing the energy through the mobile charging pile can effectively reduce the cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0095] Figure 1 This is a structural block diagram of the energy storage mobile charging pile system based on a multi-energy complementary microgrid proposed by the present invention;

[0096] Figure 2 It is a structural block diagram of the microgrid module in the present invention;

[0097] Figure 3 It is a structural block diagram of the data analysis module in the present invention. DETAILED DESCRIPTION

[0098] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0099] Reference Figure 1-3 As shown, the energy storage mobile charging pile system based on the multi-energy complementary microgrid includes:

[0100] A microgrid module, wherein the microgrid module is used to generate and store electrical energy;

[0101] The microgrid module is internally integrated with:

[0102] A power generation unit, wherein the power generation unit is used to collect multiple energy sources to generate electricity;

[0103] An energy storage unit, the energy storage unit is used to store the electric energy generated by the power generation unit;

[0104] A mobile charging pile, which is used to charge electric vehicles;

[0105] A data acquisition module, wherein the data acquisition module is used to collect battery data of the electric vehicle, power generation data of the power generation unit, energy storage data of the energy storage unit, and charging data, and obtain battery-related data, power generation-related data, energy storage-related data, and charging-related data;

[0106] A data analysis module, wherein the data analysis module analyzes the battery-related data, the power generation-related data, the energy storage-related data, and the charging-related data, and selects a mobile charging pile state, wherein the mobile charging pile state is any one of an open state and a closed state;

[0107] The data analysis module is internally integrated with:

[0108] A data preprocessing unit, the data preprocessing unit is used to preprocess the battery related data, the power generation related data, the energy storage related data and the charging related data, and obtain the battery data, the power generation data, the energy storage data and the charging data;

[0109] A data calculation unit, wherein the data calculation unit calculates the battery data, power generation data, energy storage data and charging data respectively, and obtains the average charging power, the real-time power generation status, the average energy storage growth data, the energy loss offset, and the corrected average charging power;

[0110] A battery status analysis unit, which performs analysis based on battery data to obtain a real-time battery status;

[0111] A power generation status analysis unit, which performs analysis based on power generation data to obtain a real-time power generation status;

[0112] An energy storage state analysis unit, which performs analysis based on the real-time state of power generation and energy storage data to obtain the real-time state of energy storage;

[0113] A charging state analysis unit, wherein the charging state analysis unit performs analysis based on the charging data to obtain a corrected average charging power;

[0114] A state selection unit, wherein the state selection unit performs a comprehensive analysis based on the real-time state of the battery, the real-time state of power generation, the real-time state of energy storage and the corrected average charging power, selects the state of the mobile charging pile, and determines the charging mode;

[0115] Those skilled in the art can understand that by analyzing the external power grid to determine the real-time charging power, and then analyzing the microgrid module to determine the real-time status of energy storage, average growth data of energy storage, real-time status of power generation, and output power of the mobile charging pile, finally, by comparing the real-time status of energy storage, average growth data of energy storage, real-time status of power generation, output power of the mobile charging pile and the real-time charging power, the charging mode is determined, because when an electric vehicle is charging, it may encounter a peak in electricity consumption. During the peak period, the charging voltage will drop, and the charging rate will decrease, resulting in a longer charging time. Therefore, energy replenishment of the electric vehicle's battery through a mobile charging pile ensures that the electric vehicle can complete charging within the specified time, and the electricity price during the peak period is higher than the electricity price during normal periods. Energy replenishment through mobile charging piles can reduce charging costs.

[0116] Example 1

[0117] The battery status analysis unit analyzes the battery data to obtain the real-time status of the battery, which specifically includes the following steps:

[0118] Based on the battery status analysis unit, the battery data is traversed and processed to obtain the initial energy data of the battery;

[0119] Based on the initial energy data of the battery, the battery data is positioned and processed to obtain the initial charging time;

[0120] Based on the data collection module, data is collected at the existing time to obtain real-time time data;

[0121] Based on real-time time data, perform location query processing on battery data to obtain real-time battery energy data;

[0122] Based on the data calculation unit, the battery initial energy data, the initial charging time, the real-time time data and the battery real-time energy data are calculated and processed to obtain the average charging power;

[0123] The specific calculation formula for obtaining the average charging power is:

[0124]

[0125] Where P a is the average charging power; P r Real-time energy data for the battery; i is the initial energy data of the battery; T r is real-time time data; T i The initial moment of charging;

[0126] In this embodiment, the real-time energy data of the battery is analyzed to determine whether the battery has been replenished with energy, and the initial charging moment and real-time time data are combined for analysis to determine the average charging power, which makes the subsequent selection of the mobile charging pile status more convenient and quick, and makes the subsequent analysis more comprehensive and sufficient, avoiding large analysis errors and improving the analysis accuracy.

[0127] Example 2

[0128] The power generation status analysis unit analyzes the power generation data to obtain the real-time power generation status, which specifically includes the following steps:

[0129] Based on the data acquisition module, real-time data of multiple power generation energy sources are obtained, wherein the multiple power generation energy sources include solar energy, wind energy and natural gas;

[0130] Based on the power generation unit, analyze the real-time data of various power generation energy sources to obtain the real-time status of power generation;

[0131] The specific calculation model for obtaining the real-time state of power generation is:

[0132] P b =P1×α+P2×β+P3×γ;

[0133] Where P b is the real-time state of power generation; P1 is the real-time state of solar energy; α is the solar energy conversion rate; P2 is the real-time state of wind energy; β is the wind energy conversion rate; P3 is the real-time state of natural gas; γ is the natural gas conversion rate;

[0134] In this embodiment, the mobile charging pile generates electricity through solar panels, wind turbines and natural gas power generation, but it is impossible to achieve 100% conversion during the power generation process. Therefore, the conversion rate is introduced to calculate the real-time power generation status. It is worth noting that the conversion rate is obtained based on the losses generated by different power generation equipment, and different power generation equipment will have different conversion rates.

[0135] Example 3

[0136] The energy storage status analysis unit analyzes the real-time power generation status and energy storage data, and obtains the real-time energy storage status, which specifically includes the following steps:

[0137] Based on the energy storage unit, original energy storage information of the energy storage unit is obtained;

[0138] Based on the energy storage state analysis unit, the energy storage data is analyzed to obtain the real-time state of energy storage and the start time of energy storage change;

[0139] Based on the data calculation unit, the real-time state of energy storage, original energy storage information, the starting time of energy storage change and real-time time data are calculated to obtain the average growth data of energy storage;

[0140] Based on the data calculation unit, the average growth data of energy storage and the real-time status of power generation are calculated to obtain the energy loss offset;

[0141] The specific calculation formula for obtaining the average growth data of energy storage is:

[0142]

[0143] Where P c is the average growth data of energy storage; P4 is the real-time status of energy storage; P5 is the original energy storage information; T r is real-time time data; T a is the starting time of energy storage change;

[0144] In this embodiment, the power generation unit needs to transmit the generated electric energy to the energy storage unit, but energy loss will occur during the transmission process. Therefore, in order to improve the subsequent energy accuracy, the energy loss offset is calculated to avoid large errors in the subsequent energy analysis process, which may cause the battery to fail to complete charging on time.

[0145] Example 4

[0146] The charging state analysis unit analyzes the charging data to obtain the corrected average charging power, which specifically includes the following steps:

[0147] Based on the charging initial time, real-time time data and battery data, a curve is drawn to obtain a battery charging power change curve, wherein the horizontal axis parameter of the battery charging power change curve is time, and the vertical axis parameter of the battery charging power change curve is power;

[0148] Based on the data calculation unit, the charging average power is corrected and calculated according to the battery charging power change curve to obtain the corrected charging average power;

[0149] Based on the charging status analysis unit, the battery data is located and queried through the real-time time data to obtain the real-time charging power.

[0150] Example 5

[0151] Based on the data calculation unit, the charging average power is corrected and calculated by the battery charging power change curve, and obtaining the corrected charging average power specifically includes the following steps:

[0152] Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed to obtain the maximum charging power and the minimum charging power of the battery;

[0153] Based on the maximum charging power of the battery and the minimum charging power of the battery, a secondary analysis is performed on the battery charging power change curve to obtain the duration corresponding to the maximum charging power of the battery and the duration corresponding to the minimum charging power of the battery;

[0154] Performing a judgment process according to a duration corresponding to a maximum charging power of the battery and a duration corresponding to a minimum charging power of the battery to obtain a first judgment result;

[0155] Based on the first judgment result, a correction calculation process is performed on the charging average power to obtain a corrected charging average power.

[0156] Example 6

[0157] The determination process is performed according to the duration corresponding to the maximum charging power of the battery and the duration corresponding to the minimum charging power of the battery, and obtaining the first determination result specifically comprises the following steps:

[0158] Making a judgment based on a duration corresponding to the maximum charging power of the battery and a set first threshold;

[0159] If the duration corresponding to the maximum charging power of the battery is greater than or equal to the set first threshold, retaining the maximum charging power of the battery;

[0160] If the duration corresponding to the maximum charging power of the battery is less than the set first threshold, the maximum charging power of the battery is discarded;

[0161] Making a judgment based on the duration corresponding to the minimum charging power of the battery and a set second threshold;

[0162] If the duration corresponding to the minimum charging power of the battery is greater than or equal to the set second threshold, retaining the minimum charging power of the battery;

[0163] If the duration corresponding to the minimum charging power of the battery is less than the set second threshold, the minimum charging power of the battery is abandoned;

[0164] In this embodiment, during the battery charging process, there will be a maximum charging power and a minimum charging power, but the duration of the maximum charging power and the minimum charging power are different. If the maximum charging power charging time or the minimum charging power time is short, the average charging power will have a certain error in value. Therefore, in order to reduce the error, the duration of the maximum charging power and the minimum charging power is judged, and the average charging power is corrected to make subsequent analysis more accurate.

[0165] Example 7

[0166] Based on the judgment result, the average charging power is corrected and calculated, and obtaining the corrected average charging power specifically includes the following steps:

[0167] If the judgment result is to retain the maximum charging power of the battery and the minimum charging power of the battery;

[0168] Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is:

[0169]

[0170] Where P ε P is the corrected average charging power; a is the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment;

[0171] If the judgment result is any one of the maximum charging power of the discarded battery and the minimum charging power of the discarded battery;

[0172] Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed, and the maximum charging power of the battery or the minimum charging power of the battery is re-selected for judgment;

[0173] Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is:

[0174]

[0175] Where P ε P is the corrected average charging power; ais the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment;

[0176] If the judgment result is to discard the maximum charging power of the battery and the minimum charging power of the battery;

[0177] Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed, and the maximum charging power and the minimum charging power of the battery are re-selected for judgment;

[0178] Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is:

[0179]

[0180] Where P ε P is the corrected average charging power; a is the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment.

[0181] Example 8

[0182] The state selection unit performs a comprehensive analysis based on the real-time state of the battery, the real-time state of power generation, the real-time state of energy storage and the corrected average charging power, selects the state of the mobile charging pile, and determines the charging mode, which specifically includes the following steps:

[0183] Based on the battery data, obtain the battery capacity;

[0184] Based on the data calculation unit, the battery capacity and the real-time energy data of the battery are calculated and processed to obtain the energy data to be charged;

[0185] Based on the data acquisition module, data is collected on the mobile charging pile to obtain the output power of the mobile charging pile;

[0186] Perform judgment based on the real-time charging power, the corrected average charging power, and the output power of the mobile charging pile to obtain a second judgment result;

[0187] If the real-time charging power is greater than the corrected average charging power, the real-time charging power is output and compared with the output power of the mobile charging pile for judgment;

[0188] If the real-time charging power is greater than or equal to the output power of the mobile charging pile, the mobile charging pile is shut down;

[0189] If the real-time charging power is less than or equal to the output power of the mobile charging pile, the mobile charging pile is turned on;

[0190] If the real-time charging power is less than the corrected average charging power, the output mobile charging pile is turned on;

[0191] Based on the second determination result, a charging mode is determined.

[0192] Example 9

[0193] Based on the second judgment result, determining the charging mode specifically includes the following steps:

[0194] If the mobile charging station is turned on;

[0195] Calculate based on average energy storage growth data and energy loss offset to obtain real energy storage growth data;

[0196] Make judgments based on the data of energy to be charged and the real-time status of energy storage;

[0197] If the data of energy to be charged is greater than the real-time state of energy storage, and the real energy storage growth data is greater than or equal to the real-time charging power, the external charging is turned off and the mobile charging pile charges the battery;

[0198] If the energy data to be charged is greater than the real-time state of energy storage, and the actual energy storage growth data is less than the real-time charging power, the external charger and the mobile charging pile charge the battery at the same time;

[0199] If the energy data to be charged is less than the real-time state of energy storage, the external charging is turned off and the mobile charging pile charges the battery;

[0200] In this embodiment, if a single mobile charging pile or external charging cannot charge the battery within the specified time, the battery is charged by external charging and the mobile charging pile at the same time, so that the battery is charged within the specified time. It is worth noting that when the external charging cannot meet the battery charging needs and the external power grid has no faults, it means that during the peak power consumption, the voltage is not enough to support the battery to complete charging within the specified time. Therefore, charging through a combination of the external power grid and the mobile charging pile can not only reduce the charging cost, but also will not extend the charging time. Therefore, during the peak power consumption, the electricity price may increase, while the power supply of wind and solar energy is relatively cheap.

[0201] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. The energy storage and mobile charging pile system based on multi-energy complementary microgrid is characterized by: include: A microgrid module, wherein the microgrid module is used to generate and store electrical energy; The microgrid module is internally integrated with: A power generation unit, wherein the power generation unit is used to collect multiple energy sources to generate electricity; An energy storage unit, the energy storage unit is used to store the electric energy generated by the power generation unit; A mobile charging pile, which is used to charge electric vehicles; A data acquisition module, wherein the data acquisition module is used to collect battery data of the electric vehicle, power generation data of the power generation unit, energy storage data of the energy storage unit, and charging data, and obtain battery-related data, power generation-related data, energy storage-related data, and charging-related data; A data analysis module, wherein the data analysis module analyzes the battery-related data, the power generation-related data, the energy storage-related data, and the charging-related data, and selects a mobile charging pile state, wherein the mobile charging pile state is any one of an open state and a closed state; The data analysis module is internally integrated with: A data preprocessing unit, the data preprocessing unit is used to preprocess the battery related data, the power generation related data, the energy storage related data and the charging related data, and obtain the battery data, the power generation data, the energy storage data and the charging data; A data calculation unit, wherein the data calculation unit calculates the battery data, power generation data, energy storage data and charging data respectively, and obtains the average charging power, the real-time power generation status, the average energy storage growth data, the energy loss offset, and the corrected average charging power; A battery status analysis unit, which performs analysis based on battery data to obtain a real-time battery status; A power generation status analysis unit, which performs analysis based on power generation data to obtain a real-time power generation status; An energy storage state analysis unit, which performs analysis based on the real-time state of power generation and energy storage data to obtain the real-time state of energy storage; A charging state analysis unit, wherein the charging state analysis unit performs analysis based on the charging data to obtain a corrected average charging power; The state selection unit performs a comprehensive analysis based on the real-time state of the battery, the real-time state of power generation, the real-time state of energy storage and the corrected average charging power, selects the state of the mobile charging pile and determines the charging mode.

2. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 1 is characterized in that: The battery status analysis unit analyzes the battery data to obtain the real-time battery status, which specifically includes the following steps: Based on the battery status analysis unit, the battery data is traversed and processed to obtain the initial energy data of the battery; Based on the initial energy data of the battery, the battery data is positioned and processed to obtain the initial charging time; Based on the data collection module, data is collected at the existing time to obtain real-time time data; Based on real-time time data, perform location query processing on battery data to obtain real-time battery energy data; Based on the data calculation unit, the battery initial energy data, the initial charging time, the real-time time data and the battery real-time energy data are calculated and processed to obtain the average charging power; The specific calculation formula for obtaining the average charging power is: Where P a is the average charging power; P r Real-time energy data for the battery; i is the initial energy data of the battery; T r is real-time time data; T i This is the initial time of charging.

3. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 1 is characterized in that: The power generation status analysis unit analyzes the power generation data to obtain the real-time power generation status, which specifically includes the following steps: Based on the data acquisition module, real-time data of multiple power generation energy sources are obtained, wherein the multiple power generation energy sources include solar energy, wind energy and natural gas; Based on the power generation unit, analyze the real-time data of various power generation energy sources to obtain the real-time status of power generation; The specific calculation model for obtaining the real-time state of power generation is: P b =P1×α+P2×β+P3×γ; Where P b is the real-time status of power generation; P1 is the real-time status of solar energy; α is the solar energy conversion rate; P2 is the real-time status of wind energy; β is the wind energy conversion rate; P3 is the real-time status of natural gas; γ is the natural gas conversion rate.

4. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 1 is characterized in that: The energy storage state analysis unit performs analysis based on the real-time power generation state and energy storage data, and obtaining the real-time energy storage state specifically includes the following steps: Based on the energy storage unit, original energy storage information of the energy storage unit is obtained; Based on the energy storage state analysis unit, the energy storage data is analyzed to obtain the real-time state of energy storage and the start time of energy storage change; Based on the data calculation unit, the real-time state of energy storage, original energy storage information, the starting time of energy storage change and real-time time data are calculated to obtain the average growth data of energy storage; Based on the data calculation unit, the average growth data of energy storage and the real-time status of power generation are calculated to obtain the energy loss offset; The specific calculation formula for obtaining the average growth data of energy storage is: Where P c is the average growth data of energy storage; P4 is the real-time status of energy storage; P5 is the original energy storage information; T r is real-time time data; T a is the starting time of energy storage change.

5. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 1 is characterized in that: The charging state analysis unit analyzes the charging data to obtain the corrected average charging power, which specifically includes the following steps: Based on the charging initial time, real-time time data and battery data, a curve is drawn to obtain a battery charging power change curve, wherein the horizontal axis parameter of the battery charging power change curve is time, and the vertical axis parameter of the battery charging power change curve is power; Based on the data calculation unit, the charging average power is corrected and calculated according to the battery charging power change curve to obtain the corrected charging average power; Based on the charging status analysis unit, the battery data is located and queried through the real-time time data to obtain the real-time charging power.

6. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 5 is characterized in that: The data calculation unit performs correction calculation processing on the average charging power through the battery charging power change curve to obtain the corrected average charging power, which specifically includes the following steps: Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed to obtain the maximum charging power and the minimum charging power of the battery; Based on the maximum charging power of the battery and the minimum charging power of the battery, a secondary analysis is performed on the battery charging power change curve to obtain the duration corresponding to the maximum charging power of the battery and the duration corresponding to the minimum charging power of the battery; Performing a judgment process according to a duration corresponding to a maximum charging power of the battery and a duration corresponding to a minimum charging power of the battery to obtain a first judgment result; Based on the first judgment result, a correction calculation process is performed on the charging average power to obtain a corrected charging average power.

7. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 6 is characterized in that: The step of performing judgment processing according to the duration corresponding to the maximum charging power of the battery and the duration corresponding to the minimum charging power of the battery to obtain the first judgment result specifically includes the following steps: Making a judgment based on a duration corresponding to the maximum charging power of the battery and a set first threshold; If the duration corresponding to the maximum charging power of the battery is greater than or equal to the set first threshold, retaining the maximum charging power of the battery; If the duration corresponding to the maximum charging power of the battery is less than the set first threshold, the maximum charging power of the battery is discarded; Making a judgment based on the duration corresponding to the minimum charging power of the battery and a set second threshold; If the duration corresponding to the minimum charging power of the battery is greater than or equal to the set second threshold, retaining the minimum charging power of the battery; If the duration corresponding to the minimum charging power of the battery is less than the set second threshold, the minimum charging power of the battery is discarded.

8. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 6 is characterized in that: Based on the judgment result, the charging average power is corrected and calculated to obtain the corrected charging average power, which specifically includes the following steps: If the judgment result is to retain the maximum charging power of the battery and the minimum charging power of the battery; Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is: Where P ε P is the corrected average charging power; a is the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment; If the judgment result is any one of the maximum charging power of the discarded battery and the minimum charging power of the discarded battery; Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed, and the maximum charging power of the battery or the minimum charging power of the battery is re-selected for judgment; Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is: Where P ε P is the corrected average charging power; a is the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment; If the judgment result is to discard the maximum charging power of the battery and the minimum charging power of the battery; Based on the charging state analysis unit, the battery charging power change curve is analyzed and processed, and the maximum charging power and the minimum charging power of the battery are re-selected for judgment; Based on the data calculation unit, the average charging power is corrected and calculated to obtain the corrected average charging power, that is: Where P ε P is the corrected average charging power; a is the average charging power; n is the number of corresponding charging powers at each moment; P j The corresponding charging power at each moment.

9. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 1 is characterized in that: The state selection unit performs a comprehensive analysis based on the real-time state of the battery, the real-time state of power generation, the real-time state of energy storage and the corrected average charging power to select the state of the mobile charging pile and determine the charging mode, which specifically includes the following steps: Based on the battery data, obtain the battery capacity; Based on the data calculation unit, the battery capacity and the real-time energy data of the battery are calculated and processed to obtain the energy data to be charged; Based on the data acquisition module, data is collected on the mobile charging pile to obtain the output power of the mobile charging pile; Perform judgment based on the real-time charging power, the corrected average charging power, and the output power of the mobile charging pile to obtain a second judgment result; If the real-time charging power is greater than the corrected average charging power, the real-time charging power is output and compared with the output power of the mobile charging pile for judgment; If the real-time charging power is greater than or equal to the output power of the mobile charging pile, the mobile charging pile is shut down; If the real-time charging power is less than or equal to the output power of the mobile charging pile, the mobile charging pile is turned on; If the real-time charging power is less than the corrected average charging power, the output mobile charging pile is turned on; Based on the second determination result, a charging mode is determined.

10. The energy storage and mobile charging pile system based on a multi-energy complementary microgrid according to claim 9 is characterized in that: The determining of the charging mode based on the second judgment result specifically includes the following steps: If the mobile charging station is turned on; Calculate based on average energy storage growth data and energy loss offset to obtain real energy storage growth data; Make judgments based on the data of energy to be charged and the real-time status of energy storage; If the data of energy to be charged is greater than the real-time state of energy storage, and the real energy storage growth data is greater than or equal to the real-time charging power, the external charging is turned off and the mobile charging pile charges the battery; If the energy data to be charged is greater than the real-time state of energy storage, and the actual energy storage growth data is less than the real-time charging power, the external charger and the mobile charging pile charge the battery at the same time; If the data of energy to be charged is less than the real-time state of energy storage, the external charging is turned off and the mobile charging pile charges the battery.

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