A charging scheduling system of a mine car and a scheduling method, device and medium thereof

Abstract

The application discloses a charging scheduling system of a mine car and a scheduling method, device and medium thereof. The charging scheduling system of the mine car comprises a plurality of mine cars, a plurality of charging piles and a photovoltaic system. The charging scheduling method of the mine car comprises the following steps: acquiring the emergency degree of a work task, the residual power and the battery health state value of each mine car in real time, and acquiring the photovoltaic output matching degree, the power grid load valley adaptation degree, the photovoltaic output information and the power grid load information; determining the current priority ranking of each mine car according to the current emergency degree of a work task, the current residual power, the current battery health state value, the current photovoltaic output matching degree and the current power grid load valley adaptation degree of each mine car; and controlling the connection state of each charging pile and each mine car and the charging state of each mine car according to the current priority ranking, the photovoltaic output information and the power grid load information. The scheme can improve the rationality of the mine car charging scheduling and improve the utilization efficiency of the charging pile and the power resource.

Description

Technical Field

[0001] This invention relates to the field of mining truck charging technology, and in particular to a charging scheduling system for mining trucks, as well as its scheduling method, device and medium. Background Technology

[0002] Currently, the mining area has gradually adopted electric mining trucks to replace traditional fuel-powered mining trucks for transportation operations, and has built multiple charging piles to form a charging cluster to meet the regular energy replenishment needs of the mining trucks. In the existing technology, the charging scheduling method for mining trucks only relies on the remaining power of the mining truck or the availability of the charging pile. After the mining truck finishes its work, on-site personnel select the nearest available charging pile to complete the charging.

[0003] However, existing mining truck charging scheduling methods cannot differentiate the operational priorities of different mining trucks, easily leading to situations where trucks with urgent tasks and insufficient power queue up, while trucks with sufficient power occupy charging resources, resulting in insufficient utilization of charging resources. Furthermore, existing solutions do not effectively utilize photovoltaic energy, increasing the operation and maintenance costs of the mining area. Summary of the Invention

[0004] This invention provides a charging scheduling system for mining trucks, as well as its scheduling method, device, and medium, which can improve the rationality of charging scheduling for mining trucks, enhance the utilization efficiency of charging piles and power resources, and reduce electricity consumption and operation and maintenance costs in mining areas.

[0005] In a first aspect, the present invention provides a charging scheduling method for mining trucks, which is executed using a charging scheduling system for the mining trucks. The charging scheduling system includes: multiple mining trucks, multiple charging piles, and a photovoltaic system; each charging pile is electrically connected to the photovoltaic system and the power grid; the photovoltaic system includes a photoelectric conversion module and an energy storage module electrically connected; the charging scheduling method for the mining trucks includes:

[0006] The system can acquire in real time the urgency of the work tasks of each mining truck, the remaining power and the battery health status, as well as the photovoltaic output matching degree, the grid load off-peak adaptability, photovoltaic output information and grid load information.

[0007] The current priority ranking of each mining truck is determined based on the urgency of its current task, its current remaining power, its current battery health status, its current photovoltaic output matching degree, and its current grid load off-peak adaptability.

[0008] Based on the current priority ranking, the photovoltaic power output information, and the power grid load information, the connection status between each charging pile and each mining truck is controlled, as well as the charging status of each mining truck is controlled.

[0009] Optionally, the urgency level of the operation task of each of the mining trucks can be obtained in real time, including:

[0010] The system acquires real-time operational and charging information for each mining truck. The operational information includes transportation routes, shift schedules, estimated task completion time, current location, current load, driving energy consumption, and operational progress. The charging information includes charging requirements and estimated charging time.

[0011] Based on the work task information and charging information of each mining truck, the urgency level of the work task of each mining truck is determined.

[0012] Optionally, obtaining the photovoltaic output matching degree and the photovoltaic output information includes:

[0013] Obtain historical photovoltaic power output data and future weather information;

[0014] Based on the historical photovoltaic power output data and the future weather information, the photovoltaic power output information is determined using a photovoltaic prediction model.

[0015] The photovoltaic output matching degree is determined based on the photovoltaic output information.

[0016] Optionally, obtaining the grid load off-peak adaptability and the grid load information includes:

[0017] Obtain the real-time load, peak load, real-time electricity price, and power supply status of the power grid;

[0018] The grid load information is determined based on the real-time load of the grid, the peak load of the grid, the real-time electricity price, and the power supply status of the grid.

[0019] Based on the power grid load information, determine the power grid load off-peak suitability.

[0020] Optionally, the current priority ranking of each mining truck is determined based on its current task urgency, current remaining battery power, current battery health status, current photovoltaic output matching degree, and current grid load off-peak adaptability, including:

[0021] Obtain the weight ratio of each parameter; the weight ratio includes the task weight ratio, power weight ratio, status weight ratio, photovoltaic weight ratio, and power grid weight ratio;

[0022] The current weighted score of each mining truck is determined based on the urgency of the current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, the current grid load off-peak adaptability, the task weight ratio, the power weight ratio, the status weight ratio, the photovoltaic weight ratio, and the grid weight ratio.

[0023] The current priority ranking of each mining truck is determined based on its current weighted score.

[0024] Optionally, based on the current priority ranking, the photovoltaic output information, and the grid load information, the connection status between each charging pile and each mining truck, and the charging status of each mining truck, are controlled, including:

[0025] Based on the photovoltaic output information, the peak photovoltaic output period is determined, and based on the grid load information, the off-peak grid load period is determined.

[0026] The first time and the second time are acquired in real time; the first time is the time interval between the current time and the start time of the grid load trough period, and the second time is the time interval between the current time and the start time of the photovoltaic output peak period.

[0027] During the peak photovoltaic power output period and the off-peak period of the power grid load, when the first time is less than or equal to the second time, during the off-peak period of the power grid load, the charging piles are allocated to each of the mining vehicles in descending order of priority according to their current priority, until all the charging piles have been allocated and / or each of the mining vehicles has been allocated a charging pile, so that each of the mining vehicles allocated a charging pile is in a charging state.

[0028] During the peak photovoltaic power output period and the off-peak grid load period, when the first time is longer than the second time, during the peak photovoltaic power output period, according to the current priority of each mining vehicle, the charging piles are allocated to each mining vehicle in descending order of priority until all the charging piles have been allocated and / or each mining vehicle has been allocated a charging pile, so that each mining vehicle allocated a charging pile is in a charging state.

[0029] Optionally, based on the current priority ranking, the photovoltaic output information, and the grid load information, the connection status between each charging pile and each mining truck, and the charging status of each mining truck, are controlled, including:

[0030] Based on the photovoltaic output information, the peak photovoltaic output period is determined, and based on the grid load information, the off-peak grid load period is determined.

[0031] When the current time is not during the peak photovoltaic output period and / or the off-peak period of the grid load, the energy storage capacity of the energy storage module and the peak grid load are obtained in real time.

[0032] The number of charging piles that can simultaneously charge each of the mining trucks is determined as the charging quantity based on the energy storage capacity of the energy storage module and the peak load of the power grid.

[0033] According to the current priority of each mining vehicle, the charging piles are assigned to each mining vehicle in order from low priority to high priority, until the number of mining vehicles to be charged is assigned to the charging piles, so that the mining vehicles assigned to the charging piles are in a charging state.

[0034] Optionally, the charging scheduling method for the mining truck further includes:

[0035] During the peak photovoltaic output period, the photoelectric conversion module is controlled to charge the mining truck corresponding to the charging pile through the charging pile, and the photoelectric conversion amount of the photoelectric conversion module is acquired in real time.

[0036] When the photoelectric conversion amount is greater than a preset power threshold, the redundant power is stored in the energy storage module; wherein, the redundant power is the power difference between the photoelectric conversion amount and the preset power threshold;

[0037] When the photoelectric conversion amount is less than a preset power threshold, a first power supply ratio is determined based on the photoelectric conversion amount and the preset power threshold, and the photoelectric conversion module and the energy storage module are controlled to charge the mining vehicle corresponding to the charging pile through the charging pile based on the first power supply ratio.

[0038] Optionally, the charging scheduling method for the mining truck further includes:

[0039] When the current time is not during the peak photovoltaic output period, the energy storage module is controlled to charge the mining truck corresponding to the charging pile through the charging pile, and the energy storage capacity of the energy storage module is obtained in real time.

[0040] When the current energy storage capacity is less than a preset energy threshold, a second power supply ratio is determined based on the current energy storage capacity;

[0041] The energy storage module and the power grid are controlled to charge the mining truck corresponding to the charging pile through the charging pile based on the second power supply ratio.

[0042] Optionally, the charging scheduling method for the mining truck further includes:

[0043] When the current time is not during the peak photovoltaic output period, the energy storage capacity of the energy storage module and the peak grid load of the power grid are obtained in real time.

[0044] When the current energy storage capacity is less than the preset energy threshold, the charging power of each charging pile is determined according to the current priority ranking of each mining vehicle and the peak load of the power grid.

[0045] The system controls each charging pile to charge the mining vehicle corresponding to that charging pile based on the charging power.

[0046] Optionally, when the current energy storage capacity is less than a preset energy threshold, the charging power of each charging pile is determined based on the current priority ranking of each mining vehicle and the peak load of the power grid, including:

[0047] When controlling the power grid to charge the mining truck corresponding to the charging pile through the charging pile, the total power of each of the mining trucks being charged is obtained when they are charging at the rated power.

[0048] Determine whether the total power is greater than the peak power grid load;

[0049] If not, then each of the charging piles is controlled to charge the mining car corresponding to that charging pile according to the rated power;

[0050] If so, then based on the peak load of the power grid and the rated power, determine the first number of the mining trucks that are charged at the rated power and the second number of the mining trucks that are not charged at the rated power;

[0051] Based on the current priority order of each mining truck and the first quantity, the charging piles corresponding to the first quantity of mining trucks arranged in descending order of priority are controlled to charge the mining trucks corresponding to the charging piles at the rated power.

[0052] Based on the first quantity and the rated power, determine the total charging power of each of the mining cars charged at the rated power;

[0053] The remaining grid power is determined based on the total charging power and the peak grid load.

[0054] The average power is determined based on the remaining grid power and the second quantity;

[0055] The charging piles corresponding to the remaining second number of mine cars, excluding the mine cars being charged at the rated power, are used to charge the mine cars corresponding to the charging piles at the average power.

[0056] Optionally, the charging scheduling method for the mining trucks further includes: if there are mining trucks that are not currently connected to the charging piles, adjusting the priority order of each mining truck that is not connected to the charging piles according to the current priority order, the photovoltaic output information, and the grid load information.

[0057] Optionally, the charging scheduling method for the mining truck further includes:

[0058] While each of the mining trucks is charging, the photovoltaic utilization information of the photovoltaic system is acquired in real time.

[0059] The photovoltaic prediction model is optimized based on the photovoltaic utilization information.

[0060] Optionally, the charging scheduling method for the mining truck further includes:

[0061] Obtain current mining area information;

[0062] The weight ratios of each parameter are adjusted based on the current mining area information, the urgency of the current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, and the current grid load off-peak adaptability.

[0063] Secondly, the present invention also provides a charging scheduling device for mining trucks, which is implemented using a charging scheduling system for the mining trucks. The charging scheduling system for the mining trucks includes: multiple mining trucks, multiple charging piles, and a photovoltaic system; each charging pile is electrically connected to the photovoltaic system and the power grid; the photovoltaic system includes a photoelectric conversion module and an energy storage module electrically connected; the charging scheduling device for the mining trucks includes:

[0064] The information acquisition module is used to acquire in real time the urgency of the work tasks of each mining truck, the remaining power and the battery health status value, as well as the photovoltaic output matching degree, the grid load off-peak adaptability degree, photovoltaic output information and grid load information;

[0065] The priority ranking module is used to determine the current priority ranking of each mining truck based on the urgency of its current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, and the current grid load off-peak adaptability.

[0066] The charging status determination module is used to control the connection status between each charging pile and each mining truck, and to control the charging status of each mining truck, based on the current priority order, the photovoltaic output information, and the grid load information.

[0067] Thirdly, the present invention also provides a computer storage medium storing computer instructions, which are used to cause a controller to implement the charging scheduling method for the mining vehicle described in the first aspect.

[0068] Fourthly, the present invention also provides a charging scheduling system for mining trucks, comprising: multiple mining trucks, multiple charging piles, a photovoltaic system, and a controller; each of the charging piles is electrically connected to the photovoltaic system and the power grid; the photovoltaic system includes a photoelectric conversion module and an energy storage module electrically connected; the controller is communicatively connected to each of the mining trucks, each of the charging piles, and the photovoltaic system, and the controller is used to execute the charging scheduling method for mining trucks described in the first aspect.

[0069] The technical solution of this invention obtains in real time the urgency of each mining truck's task, remaining battery power, and battery health status, as well as the matching degree of photovoltaic output, the adaptability to off-peak grid load, photovoltaic output information, and grid load information. Based on the urgency of each mining truck's current task, current remaining battery power, current battery health status, current photovoltaic output matching degree, and current off-peak grid load adaptability, the current priority ranking of each mining truck is determined. Then, based on the current priority ranking, photovoltaic output information, and grid load information, the connection status between each charging pile and each mining truck, as well as the charging status of each mining truck, are controlled. This improves the rationality of mining truck charging scheduling, enhances the utilization efficiency of charging piles and power resources, and reduces electricity consumption and maintenance costs in mining areas. Attached Figure Description

[0070] Figure 1 This is a flowchart illustrating a charging scheduling method for mining trucks provided in Embodiment 2 of the present invention;

[0071] Figure 2 This is a flowchart illustrating a charging scheduling method for mining trucks provided in Embodiment 3 of the present invention;

[0072] Figure 3 This is a flowchart illustrating a charging scheduling method for mining trucks provided in Embodiment 4 of the present invention;

[0073] Figure 4 This is a flowchart illustrating a charging scheduling method for mining trucks provided in Embodiment 5 of the present invention;

[0074] Figure 5 This is a flowchart illustrating a charging scheduling method for mining trucks provided in Embodiment Six of the present invention;

[0075] Figure 6 This is a flowchart illustrating a charging scheduling method for mining trucks provided in Embodiment 7 of the present invention;

[0076] Figure 7This is a flowchart illustrating a charging scheduling method for mining trucks provided in Embodiment 8 of the present invention;

[0077] Figure 8 This is a schematic diagram of the structure of a charging scheduling device for a mining truck provided in an embodiment of the present invention. Detailed Implementation

[0078] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0079] The terminology used in the embodiments of this invention is for the purpose of describing specific embodiments only and is not intended to limit the invention. It should be noted that directional terms such as "upper," "lower," "left," and "right" described in the embodiments of this invention are used to describe the angles shown in the accompanying drawings and should not be construed as limiting the embodiments of this invention. Furthermore, in the context, it should be understood that when referring to an element being formed "on" or "below" another element, it can be formed not only directly on or below the other element, but also indirectly on or below it through intermediate elements. The terms "first," "second," etc., are used for descriptive purposes only and do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0080] The term "comprising" and its variations as used in this invention are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment".

[0081] It should be noted that the concepts of "first" and "second" mentioned in this invention are only used to distinguish the corresponding contents and are not used to limit the order or interdependence.

[0082] It should be noted that the terms "a" and "a plurality of" used in this invention are illustrative rather than restrictive. Those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0083] Example 1

[0084] This invention provides a charging scheduling system for mining trucks, comprising: multiple mining trucks, multiple charging piles, a photovoltaic system, and a controller; each charging pile is electrically connected to the photovoltaic system and the power grid; the photovoltaic system includes a photoelectric conversion module and an energy storage module electrically connected; the controller is communicatively connected to each mining truck, each charging pile, and the photovoltaic system, and the controller is used to execute the charging scheduling method for mining trucks according to any embodiment of this invention.

[0085] The mining area is equipped with multiple mining trucks and multiple charging piles to provide charging services for the trucks. Each charging pile is connected to both a photovoltaic system and the power grid. The charging piles can use the photovoltaic system's power to charge the trucks, connect to the power grid for independent power supply, or be powered by the photovoltaic system and the power grid in tandem. The photovoltaic system includes a photovoltaic conversion module and an energy storage module that are electrically connected. The photovoltaic conversion module can convert light energy into electrical energy to charge the trucks, while the energy storage module can store the excess power from the photovoltaic conversion module so that the stored power can be used to charge the trucks when the photovoltaic output is insufficient.

[0086] In an optional embodiment, the mining truck is also equipped with an on-board display screen. The controller can send information such as the charging time period, the estimated charging completion time, and the location of the charging pile to the on-board display screen of the mining truck to remind the driver to understand the current charging information of the mining truck.

[0087] This embodiment controls the photovoltaic system and the power grid to charge the mining truck through the charging pile. Under different working conditions, different power supply methods can be switched to charge the mining truck, which improves the utilization rate of photovoltaic energy and has strong charging stability.

[0088] It is understood that the controller in the charging scheduling system of the mining truck provided in the embodiments of the present invention can be used to execute the charging scheduling method of the mining truck provided in any embodiment of the present invention. Therefore, the controller in the charging scheduling system of the mining truck has the relevant functional structure for executing the charging scheduling method of the mining truck provided in any embodiment of the present invention, and can achieve the same beneficial effect as the charging scheduling method of the mining truck provided in the embodiments of the present invention. For details, please refer to the following description.

[0089] Example 2

[0090] Figure 1 This is a flowchart illustrating a charging scheduling method for mining trucks according to Embodiment 2 of the present invention. This embodiment can be used to control mining trucks for orderly charging. The charging scheduling method for mining trucks can be executed by a charging scheduling device for the mining trucks. This charging scheduling device can be implemented in software and / or hardware, and is generally integrated into the controller of the mining truck's charging scheduling system, such as... Figure 1 As shown, the charging scheduling method for mining trucks includes:

[0091] S110: Real-time acquisition of the urgency of each mining truck's work tasks, remaining power and battery health status, as well as photovoltaic output matching degree, grid load off-peak adaptability, photovoltaic output information and grid load information.

[0092] Among them, the urgency of the task refers to the level of urgency of the task to be performed by the mining truck; the photovoltaic output information refers to the real-time power generation data of the photovoltaic system, and the photovoltaic output matching degree refers to the degree of matching between the current time and the photovoltaic output period; the grid load information refers to the real-time operating load data of the power grid, and the grid load off-peak matching degree refers to the degree of matching between the current time and the grid load off-peak period.

[0093] Specifically, the urgency of the task can be determined based on the mining truck's task information and charging information; the remaining battery power and battery health status can be obtained from the mining truck's battery management module; photovoltaic output information can be determined based on historical photovoltaic output data and future weather information, using relevant algorithms, and then the photovoltaic output matching degree can be determined based on the photovoltaic output information; grid load information can be determined based on grid operating parameters, and then the grid load off-peak suitability degree can be determined based on the grid load information. After acquiring various types of information, the acquired information can be denoised, calibrated, and fused to remove abnormal data information, thereby improving the accuracy of mining truck charging scheduling.

[0094] In an optional embodiment, the urgency of the work tasks of each mining truck is obtained in real time, including: obtaining the work task information and charging information of each mining truck in real time; the work task information includes transportation route, shift schedule, estimated task completion time, current location, current load, driving energy consumption, and work task progress; the charging information includes charging demand and estimated charging time; and the urgency of the work tasks of each mining truck is determined according to the work task information and charging information of each mining truck.

[0095] Specifically, after obtaining the operational and charging information of each mining truck, various parameters of each truck can be rated or scored to determine the urgency of each truck's operational task. For example, the longer the transportation route of a mining truck, the higher the battery range requirement, and the higher the urgency of the operational task; the more frequent the shifts of the mining trucks, the higher the urgency of the operational task; the closer the current time is to the estimated completion time of the mining truck's task, the higher the urgency of the operational task; the farther the mining truck's current location is from the charging station, the higher the urgency of the operational task; the lower the current load of the mining truck, the higher the urgency of the operational task, thus prioritizing the charging of empty mining trucks; the higher the driving energy consumption of the mining truck and the faster the battery is consumed, the higher the urgency of the operational task; the lower the progress of the mining truck's operational task, the higher the urgency of the operational task; the higher the charging demand of the mining truck, the higher the urgency of the operational task; the longer the estimated charging time of the mining truck, the higher the urgency of the operational task. After determining the rating or score of each parameter of each mining truck, the comprehensive rating or comprehensive score of each mining truck can be determined based on the rating or score of each parameter. Based on the comprehensive rating or comprehensive score of each mining truck, the urgency of the operation task of each mining truck can be determined.

[0096] In an optional embodiment, obtaining photovoltaic power output matching degree and photovoltaic power output information includes: obtaining historical photovoltaic power output data and future weather information; determining photovoltaic power output information based on a photovoltaic prediction model according to the historical photovoltaic power output data and future weather information; and determining photovoltaic power output matching degree according to the photovoltaic power output information.

[0097] Historical photovoltaic output data refers to the operation record of the photovoltaic system over a period of time, which may include power generation, output, and photovoltaic output patterns under different weather conditions at different times. Future weather information may include meteorological parameters such as solar intensity, cloud cover, cloudy / sunny conditions, precipitation, ambient temperature, and sunshine duration for the next 24 hours. The photovoltaic prediction model can be an algorithm model built based on the characteristics of photovoltaic power generation, such as a BP neural network algorithm model.

[0098] Specifically, after obtaining historical photovoltaic (PV) output data and future weather information, the power generation status of the PV system can be predicted for the next 24 hours based on a PV prediction model, thereby determining PV output information. PV output information can include parameters such as real-time PV power generation, PV power output, and peak PV output time periods. PV output information can also be a PV output curve that can predict the PV output situation for the next 24 hours. Furthermore, based on the current time and PV output information, the PV output matching degree can be determined, that is, the closer the current time is to the peak PV output time period, the higher the PV output matching degree.

[0099] In an optional embodiment, the charging scheduling method for mining trucks further includes: acquiring photovoltaic utilization information of the photovoltaic system in real time while each mining truck is charging; and optimizing the photovoltaic prediction model based on the photovoltaic utilization information.

[0100] Photovoltaic utilization information refers to the actual utilization of light and electrical energy by the photovoltaic system. Photovoltaic utilization information may include the actual power generation capacity of the photovoltaic conversion module of the photovoltaic system, the actual utilization rate of photovoltaic power, and the actual power generation of the photovoltaic system under different operating conditions.

[0101] Specifically, the photovoltaic utilization information of the photovoltaic system during the charging process of each mining truck can be used as a new training set to optimize and iterate the photovoltaic prediction model, thereby improving the accuracy of photovoltaic output information.

[0102] In an optional embodiment, obtaining grid load off-peak suitability and grid load information includes: obtaining the real-time load of the grid, the peak load of the grid, the real-time electricity price, and the grid power supply status; determining the grid load information based on the real-time load of the grid, the peak load of the grid, the real-time electricity price, and the grid power supply status; and determining the grid load off-peak suitability based on the grid load information.

[0103] Among them, the real-time load of the power grid refers to the total operating power of all electrical equipment in the power grid at present; the peak load of the power grid refers to the maximum allowable carrying power threshold when the power grid is operating safely; the real-time electricity price refers to the current electricity price of the power grid, which is higher during peak load periods; and the power supply status of the power grid refers to the overall operating condition of the power grid.

[0104] Specifically, after obtaining the real-time load, peak load, real-time electricity price, and power supply status of the power grid, the various parameters of the power grid can be rated or scored to determine the power grid load information. Furthermore, based on the current time and power grid load information, the power grid load off-peak suitability can be determined, that is, the closer the current time is to the power grid load off-peak period, the higher the power grid load off-peak suitability.

[0105] S120. Determine the current priority ranking of each mining truck based on the urgency of its current task, current remaining power, current battery health status, current photovoltaic output matching degree, and current grid load off-peak adaptability.

[0106] Specifically, each mining truck can be rated or scored based on its current task urgency, remaining battery power, battery health status, photovoltaic output matching degree, and grid load off-peak adaptability. Then, based on the rating or scoring results, the current priority ranking of each mining truck can be determined.

[0107] S130. Control the connection status between each charging pile and each mining truck according to the current priority ranking, photovoltaic output information and grid load information, and control the charging status of each mining truck.

[0108] Specifically, after determining the current priority ranking, the optimal charging time can be allocated to each mining truck based on photovoltaic power output information and grid load information, combined with the current time. This allows each charging pile to charge each mining truck, thus avoiding the overlap of peak charging times with low photovoltaic power output and peak grid load times, in order to meet the efficient charging needs of the mining trucks.

[0109] This embodiment acquires the urgency of each mining truck's task, remaining battery power, and battery health status in real time, as well as the matching degree of photovoltaic output, the adaptability to off-peak grid load, photovoltaic output information, and grid load information. Based on the urgency of each mining truck's task, current remaining battery power, current battery health status, current photovoltaic output matching degree, and current off-peak grid load adaptability, the current priority ranking of each mining truck is determined. Then, based on the current priority ranking, photovoltaic output information, and grid load information, the connection status between each charging pile and each mining truck, as well as the charging status of each mining truck, are controlled. This improves the rationality of mining truck charging scheduling, enhances the utilization efficiency of charging piles and power resources, and reduces electricity consumption and maintenance costs in the mining area.

[0110] Example 3

[0111] Figure 2 This is a flowchart illustrating a charging scheduling method for mining trucks according to Embodiment 3 of the present invention. Based on the above embodiments, this embodiment provides a detailed explanation of the method for determining the current priority order of each mining truck, such as... Figure 2 As shown, the charging scheduling method for the mining truck includes:

[0112] S210: Real-time acquisition of the urgency of each mining truck's task, remaining power and battery health status, as well as photovoltaic output matching degree, grid load off-peak adaptability, photovoltaic output information and grid load information.

[0113] S220, Obtain the weight ratio of each parameter.

[0114] The weighting ratios include task weighting ratio, power weighting ratio, status weighting ratio, photovoltaic weighting ratio, and grid weighting ratio. Task weighting ratio corresponds to the urgency of the current task; power weighting ratio corresponds to the remaining power; status weighting ratio corresponds to the current battery health status; photovoltaic weighting ratio corresponds to the current photovoltaic output matching degree; and grid weighting ratio corresponds to the grid load off-peak adaptability.

[0115] Specifically, the sum of the weights of all parameters is 1. The weights of each parameter can be set according to actual needs, and this embodiment of the invention does not limit this. For example, the task weight ratio can be 35%, the power weight ratio can be 30%, the status weight ratio can be 15%, the photovoltaic weight ratio can be 10%, and the grid weight ratio can be 10%.

[0116] In an optional embodiment, the charging scheduling method for mining trucks further includes: obtaining current mining area information; and adjusting the weight ratio of each parameter based on the current mining area information, the urgency of the current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, and the current grid load off-peak adaptability.

[0117] Specifically, current mining area information can include the difficulty of the current mining task, the location of charging piles, and other information. After obtaining this information, the weight ratios of various parameters can be adjusted based on the current mining area information, the urgency of the current task, the current remaining battery power, the current battery health status, the current photovoltaic output matching degree, and the current grid load off-peak adaptability, thereby improving the charging scheduling efficiency of mining trucks. For example, during peak production periods or emergency repair periods, the task weight ratio can be increased; when a large number of mining trucks are at low battery levels and the mining area is experiencing range constraints, the battery power weight ratio can be increased; when it is winter and battery protection is needed, the status weight ratio can be increased; during prolonged periods of cloudy and rainy weather, the photovoltaic weight ratio can be decreased; and during periods of power rationing in the mining area or peak grid load, the grid weight ratio can be increased.

[0118] S230. Determine the current weighted score of each mining truck based on the urgency of the current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, the current grid load off-peak adaptability, the task weight ratio, the power weight ratio, the status weight ratio, the photovoltaic weight ratio, and the grid weight ratio.

[0119] Specifically, after determining each parameter and its weight ratio, a weighted summation operation can be used. The value of each parameter is multiplied by its corresponding weight ratio, and then summed to determine the current weighted score of each mining truck. For example, the higher the urgency of the current task, the higher the current weighted score; the lower the remaining battery power, the higher the current weighted score; the lower the current battery health value and the faster the mining truck's power consumption rate, the higher the current weighted score; the higher the current photovoltaic output matching degree, the higher the current weighted score; and the higher the current grid load off-peak adaptability, the higher the current weighted score.

[0120] S240. Determine the current priority ranking of each mining truck based on its current weighted score.

[0121] Specifically, the higher the current weighted score of a mining truck, the higher its priority level. All mining trucks are arranged in descending order of weighted score, which helps determine the current priority of each mining truck and facilitates the subsequent allocation of charging time slots and charging stations to each mining truck.

[0122] S250: Based on the current priority ranking, photovoltaic output information, and grid load information, control the connection status between each charging pile and each mining truck, and control the charging status of each mining truck.

[0123] This embodiment obtains the weight ratio of each parameter and determines the current weighted score of each mining truck based on the urgency of the current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, the current grid load off-peak adaptability, the task weight ratio, the power weight ratio, the status weight ratio, the photovoltaic weight ratio, and the grid weight ratio. Then, based on the current weighted score of each mining truck, the current priority ranking of each mining truck is determined, which can improve the rationality of mining truck charging scheduling and ensure the rational allocation and efficient utilization of charging resources.

[0124] Example 4

[0125] Figure 3 This is a flowchart illustrating a charging scheduling method for mining trucks according to Embodiment 4 of the present invention. Based on the above embodiments, this embodiment provides a detailed explanation of how to determine the charging status of each mining truck, such as... Figure 3 As shown, the charging scheduling method for the mining truck includes:

[0126] S310: Real-time acquisition of the urgency of each mining truck's work tasks, remaining power and battery health status, as well as photovoltaic output matching degree, grid load off-peak adaptability, photovoltaic output information and grid load information.

[0127] S320. Based on the urgency of each mining truck's current task, current remaining power, current battery health status, current photovoltaic output matching degree, and current grid load off-peak adaptability, determine the current priority ranking of each mining truck.

[0128] S330. Based on the photovoltaic output information, determine the peak photovoltaic output period and based on the grid load information, determine the off-peak grid load period.

[0129] Specifically, based on photovoltaic power output information, the period with the highest photovoltaic power generation and the most abundant electricity can be defined as the peak photovoltaic power output period, such as from 10:00 AM to 3:00 PM every day; based on grid load information, the period with the lowest grid load and the lowest electricity price can be defined as the grid load off-peak period, such as from 0:00 AM to 5:00 AM every day.

[0130] S340, real-time acquisition of first and second time.

[0131] The first time interval is the time between the current time and the start of the period of low grid load, and the second time interval is the time between the current time and the start of the period of high photovoltaic output.

[0132] Specifically, the time interval between the start of the next low-load period of the power grid and the current time can be determined as the first time; the time interval between the start of the next peak period of photovoltaic power output and the current time can be determined as the second time.

[0133] S350. During the peak photovoltaic output period and the off-peak period of grid load, when the first time is less than or equal to the second time, during the off-peak period of grid load, according to the current priority of each mining truck, charging piles are allocated to each mining truck in order from high priority to low priority, until all charging piles have been allocated and / or each mining truck has been allocated a charging pile, so that each mining truck allocated a charging pile is in a charging state.

[0134] Specifically, when the first time is less than or equal to the second time, it indicates that the current time is closer to the off-peak period of the power grid load. After entering the off-peak period of the power grid load, charging piles can be allocated to each mining truck according to its current priority, from high priority to low priority. This allows high-priority mining trucks to charge during the off-peak period of the power grid load, and ensures that all charging piles are allocated and / or each mining truck is allocated a charging pile, so that each mining truck that has been allocated a charging pile is in a charging state, thereby reducing electricity costs.

[0135] S360. During the peak photovoltaic output period and the off-peak grid load period, if the first time is longer than the second time, during the peak photovoltaic output period, according to the current priority of each mining truck, charging piles are allocated to each mining truck in order from high priority to low priority until all charging piles have been allocated and / or each mining truck has been allocated a charging pile, so that each mining truck allocated a charging pile is in a charging state.

[0136] Specifically, when the first time is greater than the second time, it indicates that the current time is closer to the peak photovoltaic output period. After entering the peak photovoltaic output period, charging piles can be allocated to each mining truck according to its current priority, from high priority to low priority. This allows high-priority mining trucks to charge during the peak photovoltaic output period, and ensures that all charging piles are allocated and / or each mining truck is allocated a charging pile. This ensures that each mining truck with a charging pile is in a charging state, thereby fully absorbing photovoltaic power generation, improving the utilization rate of solar energy, and reducing electricity costs.

[0137] S370. When the current time is not during the peak photovoltaic output period and / or the off-peak period of grid load, the energy storage capacity of the energy storage module and the peak grid load are obtained in real time.

[0138] Specifically, if the current time is not during the peak photovoltaic output period and / or the off-peak period of grid load, it indicates that the photovoltaic output is weak or the grid load is high. By obtaining the energy storage capacity of the energy storage module and the peak grid load in real time, the power supply capacity of the energy storage module and the upper limit of the power for safe grid operation can be determined.

[0139] S380. Based on the energy storage capacity of the energy storage module and the peak load of the power grid, determine the number of charging piles that can charge each mining truck simultaneously as the charging quantity.

[0140] Specifically, based on the energy storage capacity of the energy storage module and the peak load of the power grid, the maximum allowable charging scale for the current time period can be calculated. The maximum allowable charging scale is usually less than the number of charging piles. That is, when the current time is not during the peak photovoltaic output period and / or the off-peak period of the power grid load, the charging piles do not need to operate at full load. Combined with the current charging needs of the mining trucks, the number of charging piles that can charge each mining truck at the same time can be determined.

[0141] S390. Based on the current priority of each mining truck, assign charging piles to each mining truck in order from low priority to high priority, until the required number of mining trucks to be charged are assigned to charging piles, so that the mining trucks assigned to charging piles are in a charging state.

[0142] Specifically, when the current time is not during the peak period of photovoltaic output and / or the off-peak period of grid load, the photovoltaic output is weak or the grid load is high. Therefore, charging piles can be allocated to each mining truck in order from low priority to high priority until the required number of mining trucks are allocated to charging piles, so that the mining trucks allocated to charging piles are in a charging state, thereby reducing the risk of grid overload and operation and maintenance costs.

[0143] This embodiment determines the peak photovoltaic output period based on photovoltaic power output information and the off-peak period based on grid load information. It acquires the first and second times in real time. During the peak photovoltaic output period and the off-peak period, if the first time is less than or equal to the second time, during the off-peak period, charging piles are allocated to each mining truck according to its current priority, from high priority to low priority, until all charging piles are allocated and / or each mining truck is assigned a charging pile, ensuring that all mining trucks with allocated charging piles are charging. Conversely, if the first time is greater than the second time, during the peak photovoltaic output period, charging piles are allocated to each mining truck according to its current priority, from high priority to low priority, until all charging piles are allocated and / or each mining truck is assigned a charging pile, ensuring that all mining trucks with allocated charging piles are charging. This ensures the charging needs of high-priority mining trucks, maximizes the utilization of resources during the peak photovoltaic output and off-peak periods, improves the utilization rate of solar energy, and reduces electricity costs.

[0144] Example 5

[0145] Figure 4 This is a flowchart illustrating a charging scheduling method for mining trucks according to Embodiment 5 of the present invention. Based on the above embodiments, this embodiment provides a detailed description of the power supply method for the charging piles, such as... Figure 4 As shown, the charging scheduling method for the mining truck includes:

[0146] S410: Real-time acquisition of the urgency of each mining truck's task, remaining power and battery health status, as well as photovoltaic output matching degree, grid load off-peak adaptability, photovoltaic output information and grid load information.

[0147] S420. Based on the urgency of each mining truck's current task, current remaining power, current battery health status, current photovoltaic output matching degree, and current grid load off-peak adaptability, determine the current priority ranking of each mining truck.

[0148] S430: Based on the current priority ranking, photovoltaic output information, and grid load information, control the connection status between each charging pile and each mining truck, and control the charging status of each mining truck.

[0149] S440. During peak photovoltaic output periods, control the photoelectric conversion module to charge the mining truck corresponding to the charging pile through the charging pile, and obtain the photoelectric conversion amount of the photoelectric conversion module in real time.

[0150] Specifically, during peak photovoltaic output periods, the photovoltaic conversion module can convert light energy into electrical energy, which can then be used to charge the mining trucks corresponding to the charging piles. By acquiring the photovoltaic conversion amount of the photovoltaic conversion module in real time, it is easier to determine the power supply method of the charging piles.

[0151] S450: When the photoelectric conversion amount is greater than the preset power threshold, the redundant power is stored in the energy storage module.

[0152] The redundant power is the difference between the photoelectric conversion amount and the preset power threshold, which refers to the rated power required for the current charging of the mining truck.

[0153] Specifically, after meeting the charging needs of the mining trucks, excess electricity can be stored in the energy storage module. When the photovoltaic output is insufficient, the stored electricity can be used to charge the mining trucks, thereby avoiding the waste of photovoltaic energy and improving energy utilization.

[0154] S460. When the photoelectric conversion amount is less than the preset power threshold, determine the first power supply ratio based on the photoelectric conversion amount and the preset power threshold, and control the photoelectric conversion module and the energy storage module to charge the mining car corresponding to the charging pile through the charging pile based on the first power supply ratio.

[0155] Specifically, when the photoelectric conversion amount is less than a preset power threshold, photovoltaic power generation alone cannot meet the charging needs of the mining truck. Therefore, it is necessary to control both the photoelectric conversion module and the energy storage module to charge the mining truck. Based on the photoelectric conversion amount and the preset power threshold, a first power supply ratio is determined. This first power supply ratio is the power supply ratio of the photoelectric conversion module and the energy storage module when all the electricity generated by the photovoltaic system is consumed, thereby making full use of photovoltaic energy and improving the efficiency of charging resource utilization.

[0156] In this embodiment, during peak photovoltaic output periods, the photovoltaic conversion module is controlled to charge the mining truck corresponding to the charging pile via the charging pile, and the photovoltaic conversion amount of the photovoltaic conversion module is acquired in real time. When the photovoltaic conversion amount is greater than a preset power threshold, the excess power is stored in the energy storage module; and when the photovoltaic conversion amount is less than the preset power threshold, a first power supply ratio is determined based on the photovoltaic conversion amount and the preset power threshold, and the photovoltaic conversion module and the energy storage module are controlled to charge the mining truck corresponding to the charging pile via the charging pile based on the first power supply ratio. This can make full use of photovoltaic energy and improve the photovoltaic absorption rate and charging resource utilization efficiency.

[0157] Example 6

[0158] Figure 5 This is a flowchart illustrating a charging scheduling method for mining trucks according to Embodiment Six of the present invention. Based on the above embodiments, this embodiment provides a detailed description of the power supply method for the charging piles, such as... Figure 5 As shown, the charging scheduling method for the mining truck includes:

[0159] S510 can obtain the urgency of each mining truck's task, remaining power and battery health status in real time, as well as the matching degree of photovoltaic output, the adaptability to grid load off-peak, photovoltaic output information and grid load information.

[0160] S520. Based on the urgency of each mining truck's current task, current remaining power, current battery health status, current photovoltaic output matching degree, and current grid load off-peak adaptability, determine the current priority ranking of each mining truck.

[0161] S530: Based on the current priority ranking, photovoltaic output information, and grid load information, control the connection status between each charging pile and each mining truck, and control the charging status of each mining truck.

[0162] S540. When the current time is not during the peak photovoltaic output period, control the energy storage module to charge the mining truck corresponding to the charging pile through the charging pile, and obtain the energy storage power of the energy storage module in real time.

[0163] Specifically, when the current time is not during the peak photovoltaic output period, the power generation of the photovoltaic conversion module is low. In this case, the energy storage module is prioritized to charge the mining truck corresponding to the charging pile through the charging pile. At the same time, the energy storage capacity of the energy storage module is acquired in real time to facilitate the subsequent determination of the power supply mode of the charging pile.

[0164] S550: When the current energy storage capacity is less than the preset energy threshold, determine the second power supply ratio based on the current energy storage capacity.

[0165] Specifically, when the current energy storage capacity is less than a preset threshold, it indicates that the energy storage module's capacity is insufficient to meet the charging needs of the mining truck. Therefore, it is necessary to control both the energy storage module and the power grid to charge the mining truck. Based on the current energy storage capacity, a second power supply ratio is determined. This second power supply ratio represents the output proportion of the energy storage module and the power grid. The more energy the energy storage module stores, the higher its output proportion, thereby reducing dependence on the power grid.

[0166] S560, the control energy storage module, and the power grid charge the mining truck corresponding to the charging pile through the charging pile based on the second power supply ratio.

[0167] Specifically, after determining the second power supply ratio, the energy storage module and the power grid can be controlled to charge the mining truck corresponding to the charging pile through the charging pile based on the second power supply ratio, thereby prioritizing the consumption of the energy storage module's stored energy, improving the utilization rate of surplus photovoltaic power, avoiding power loss in the energy storage system, and improving the utilization efficiency of charging resources.

[0168] In this embodiment, when the current time is not during the peak photovoltaic output period, the energy storage module is controlled to charge the mining truck corresponding to the charging pile through the charging pile, and the energy storage capacity of the energy storage module is obtained in real time. When the current energy storage capacity is less than the preset energy threshold, a second power supply ratio is determined based on the current energy storage capacity. Then, the energy storage module and the power grid are controlled to charge the mining truck corresponding to the charging pile through the charging pile based on the second power supply ratio. This can improve the utilization rate of surplus photovoltaic power, avoid power loss of the energy storage system, and improve the utilization efficiency of charging resources.

[0169] Example 7

[0170] Figure 6 This is a flowchart illustrating a charging scheduling method for mining trucks according to Embodiment 7 of the present invention. Based on the above embodiments, this embodiment provides a detailed explanation of the method for determining the charging power of the charging pile, such as... Figure 6 As shown, the charging scheduling method for the mining truck includes:

[0171] S610 can obtain the urgency of each mining truck's task, remaining power and battery health status in real time, as well as the matching degree of photovoltaic output, the adaptability to grid load off-peak, photovoltaic output information and grid load information.

[0172] S620. Based on the urgency of each mining truck's current task, current remaining power, current battery health status, current photovoltaic output matching degree, and current grid load off-peak adaptability, determine the current priority ranking of each mining truck.

[0173] S630: Based on the current priority ranking, photovoltaic output information, and grid load information, control the connection status between each charging pile and each mining truck, and control the charging status of each mining truck.

[0174] S640. When the current time is not during the peak photovoltaic output period, obtain the energy storage capacity of the energy storage module and the peak grid load of the power grid in real time.

[0175] Specifically, when the current time is not during the peak photovoltaic output period, the energy storage capacity of the energy storage module and the peak grid load of the power grid are obtained in real time, which facilitates the subsequent allocation of charging power to each charging pile.

[0176] S650 When the current energy storage capacity is less than the preset energy threshold, determine the charging power of each charging pile according to the current priority ranking of each mining truck and the peak load of the power grid.

[0177] Specifically, when the current energy storage capacity is less than the preset energy threshold, it means that the energy storage capacity of the energy storage module cannot meet the charging needs of the mining truck. Therefore, it is necessary to control the energy storage module and the power grid to charge the mining truck together. However, the total power of each mining truck charging at its rated power should be less than the peak load of the power grid to ensure the safe and stable operation of the power grid.

[0178] In an optional embodiment, when the current energy storage capacity is less than a preset energy threshold, the charging power of each charging pile is determined based on the current priority ranking of each mining vehicle and the peak load of the power grid. This includes: when controlling the power grid to charge the mining vehicle corresponding to the charging pile through the charging pile, obtaining the total power of each mining vehicle charging at its rated power; determining whether the total power is greater than the peak load of the power grid; if not, controlling each charging pile to charge the mining vehicle corresponding to the charging pile at its rated power; if so, determining the first number of mining vehicles charging at their rated power and the number not charging at their rated power based on the peak load of the power grid and the rated power. The second number of electric mining trucks; based on the current priority ranking of each mining truck and the first number, control the charging piles corresponding to the first number of mining trucks arranged in descending order of priority to charge the mining trucks corresponding to the charging piles at the rated power; based on the first number and the rated power, determine the total charging power of each mining truck charging at the rated power; based on the total charging power and the peak grid load, determine the remaining grid power; based on the remaining grid power and the second number, determine the average power; and charge the charging piles corresponding to the remaining second number of mining trucks (excluding those charging at the rated power) at the average power.

[0179] Specifically, by acquiring the total power of each mining truck charging at its rated power and determining whether the total power exceeds the peak load of the power grid, it can be determined whether charging each mining truck at its rated power will cause a power grid overload. If the total power is less than the peak load of the power grid, there is no risk of overload, and each charging pile can be controlled to charge the mining truck corresponding to that charging pile at its rated power, improving the charging efficiency of the mining trucks. If the total power exceeds the peak load of the power grid, there is a risk of overload, and the charging power of some charging piles should be reduced to avoid power grid overload. Based on the peak load of the power grid and the rated power, a first number of mining trucks charging at their rated power and a second number of mining trucks not charging at their rated power are determined. The first number is the maximum number of mining trucks that can maintain rated power charging within the power grid load range, and the second number is the remaining number of mining trucks that cannot operate at their rated power and need to be charged. The number of mining cars charging at high power is reduced; then, the charging piles corresponding to the first number of mining cars, arranged from high priority to low priority, are controlled to charge the mining cars corresponding to those charging piles at their rated power, so as to prioritize the charging of high-priority mining cars at their rated power and improve charging efficiency; then, the product of the first number and the rated power is calculated to determine the total charging power required for the charging piles corresponding to the first number of mining cars to charge the mining cars corresponding to those charging piles at their rated power; then, the remaining grid power is determined by subtracting the total charging power from the peak grid load; the remaining grid power is the power that the grid can use to charge the second number of mining cars; by dividing the remaining grid power by the second number, the average power is determined, so that the charging piles corresponding to the remaining second number of mining cars, excluding those charging at their rated power, can charge the mining cars corresponding to those charging piles at their average power.

[0180] For example, if there are 5 mining trucks currently charging, and each mining truck has a rated power of 2000W, then the total power of all mining trucks charging at their rated power is 10000W. If the peak load of the power grid is 10000W, then each charging pile can be controlled to charge the mining truck corresponding to that charging pile at its rated power. If the peak load of the power grid is 7000W, then the first number of mining trucks charging at their rated power is determined to be 3, and the second number of mining trucks not charging at their rated power is determined to be 2. Then, the charging piles corresponding to the 3 high-priority mining trucks are controlled to charge the mining trucks corresponding to those charging piles at a power of 2000W. At the same time, the total charging power of all mining trucks charging at their rated power is determined to be 6000W, and the remaining power grid power is 1000W, so the average power is 500W. Then, the charging piles corresponding to the 2 low-priority mining trucks are controlled to charge the mining trucks corresponding to those charging piles at a power of 500W.

[0181] S660 controls each charging pile to charge the mining truck corresponding to that charging pile based on the charging power.

[0182] Specifically, after determining the charging power of each charging pile, each charging pile can be controlled to charge the mining truck corresponding to that charging pile based on its charging power, thereby meeting the charging needs of each mining truck, ensuring the safe and stable operation of the power grid, and improving the stability of the charging dispatch system.

[0183] In this embodiment, when the current time is not during the peak photovoltaic output period, the energy storage capacity of the energy storage module and the peak grid load of the power grid are obtained in real time. When the current energy storage capacity is less than the preset energy threshold, the charging power of each charging pile is determined according to the current priority ranking of each mining truck and the peak grid load. Then, each charging pile is controlled to charge the mining truck corresponding to that charging pile based on the charging power, which can ensure the safe and stable operation of the power grid and improve the stability of the charging scheduling system.

[0184] Example 8

[0185] Figure 7 This is a flowchart illustrating a charging scheduling method for mining trucks according to Embodiment 8 of the present invention. Based on the above embodiments, this embodiment provides a detailed explanation of the optimization method for prioritizing mining trucks, such as... Figure 7 As shown, the charging scheduling method for the mining truck includes:

[0186] S710 can obtain the urgency of each mining truck's task, remaining power and battery health status in real time, as well as the photovoltaic output matching degree, grid load off-peak adaptability, photovoltaic output information and grid load information.

[0187] S720. Based on the urgency of each mining truck's current task, current remaining power, current battery health status, current photovoltaic output matching degree, and current grid load off-peak adaptability, determine the current priority ranking of each mining truck.

[0188] S730 controls the connection status between each charging pile and each mining truck, as well as the charging status of each mining truck, based on the current priority ranking, photovoltaic output information, and grid load information.

[0189] S740. If there are mining trucks that are not currently connected to charging piles, adjust the priority order of each mining truck that is not connected to charging piles according to the current priority order, photovoltaic output information and grid load information.

[0190] Specifically, for mining trucks waiting in line to charge but not connected to charging piles, the priority ranking of each truck is adjusted in real time based on the current priority ranking, photovoltaic output information, and grid load information, combined with the current time. This optimizes the charging time periods for uncharged mining trucks and improves the rationality of mining truck charging scheduling.

[0191] For example, if the photovoltaic output is rapidly increasing and is about to enter its peak, the priority order of mining trucks that are not connected to charging piles can be adjusted, and high-priority mining trucks can be charged first to improve the utilization rate of photovoltaic energy.

[0192] This embodiment optimizes the charging time of uncharging mining trucks by adjusting their priority ranking based on current priority ranking, photovoltaic output information, and grid load information, thereby improving the rationality of mining truck charging scheduling.

[0193] Example 9

[0194] Figure 8 This is a schematic diagram of a charging scheduling device for a mining truck provided in an embodiment of the present invention. This embodiment can be used to control the orderly charging of mining trucks. The charging scheduling device for the mining truck can be implemented by software and / or hardware, and is generally integrated into the controller of the mining truck's charging scheduling system, such as... Figure 8 As shown, the charging scheduling device for the mining truck includes:

[0195] The information acquisition module 810 is used to acquire in real time the urgency of the work tasks of each mining truck, the remaining power and battery health status, as well as the photovoltaic output matching degree, the grid load off-peak adaptability, photovoltaic output information and grid load information.

[0196] The priority ranking module 820 is used to determine the current priority ranking of each mining truck based on the urgency of its current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, and the current grid load off-peak adaptability.

[0197] The charging status determination module 830 is used to control the connection status between each charging pile and each mining truck, as well as the charging status of each mining truck, based on the current priority order, photovoltaic output information, and grid load information.

[0198] Optionally, the information acquisition module 810 may include a task urgency acquisition unit; the task urgency acquisition unit is used to acquire the operation task information and charging information of each mining truck in real time; the operation task information includes transportation route, shift schedule, estimated task completion time, current location, current load, driving energy consumption, and operation task progress; the charging information includes charging demand and estimated charging time; based on the operation task information and charging information of each mining truck, the urgency of the operation task of each mining truck is determined respectively.

[0199] Optionally, the information acquisition module 810 also includes a photovoltaic information acquisition unit; the photovoltaic information acquisition unit is used to acquire historical photovoltaic power output data and future weather information; based on the historical photovoltaic power output data and future weather information, and based on the photovoltaic prediction model, determine the photovoltaic power output information; and based on the photovoltaic power output information, determine the photovoltaic power output matching degree.

[0200] Optionally, the information acquisition module 810 also includes a power grid information acquisition unit; the power grid information acquisition unit is used to acquire the real-time load, peak load, real-time electricity price and power supply status of the power grid; determine the power grid load information based on the real-time load, peak load, real-time electricity price and power supply status of the power grid; and determine the power grid load off-peak suitability based on the power grid load information.

[0201] Optionally, the priority ranking module 820 may include a weight ratio acquisition unit, a weighted score determination unit, and a priority ranking unit; the weight ratio acquisition unit is used to acquire the weight ratio of each parameter; the weight ratio includes the task weight ratio, power weight ratio, status weight ratio, photovoltaic weight ratio, and grid weight ratio; the weighted score determination unit is used to determine the current weighted score of each mining truck based on the urgency of the current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, the current grid load off-peak adaptability, the task weight ratio, the power weight ratio, the status weight ratio, the photovoltaic weight ratio, and the grid weight ratio; the priority ranking unit is used to determine the current priority ranking of each mining truck based on the current weighted score of each mining truck.

[0202] Optionally, the charging status determination module 830 may include a time period determination unit, a first charging status determination unit, and a second charging status determination unit. The time period determination unit is used to determine the peak photovoltaic output time period based on photovoltaic output information and the off-peak grid load time period based on grid load information. The first charging status determination unit is used to allocate charging piles to each mining truck in the off-peak grid load time period when the current time is closer to the off-peak grid load time period, according to the current priority ranking of each mining truck, from high priority to low priority, until all charging piles have been allocated and / or each mining truck has been allocated a charging pile, so that each mining truck allocated a charging pile is in a charging state. The second charging status determination unit is used to allocate charging piles to each mining truck in the peak photovoltaic output time period when the current time is closer to the peak photovoltaic output time period, according to the current priority ranking of each mining truck, from high priority to low priority, until all charging piles have been allocated and / or each mining truck has been allocated a charging pile, so that each mining truck allocated a charging pile is in a charging state.

[0203] Optionally, the charging status determination module 830 further includes a first charging information acquisition unit, a charging quantity determination unit, and a third charging status determination unit; the first charging information acquisition unit is used to acquire the energy storage capacity of the energy storage module and the peak grid load in real time when the current time is not during the peak photovoltaic output period and / or the low grid load period; the charging quantity determination unit is used to determine the number of charging piles that can charge each mining truck simultaneously based on the energy storage capacity of the energy storage module and the peak grid load; the third charging status determination unit is used to allocate charging piles to each mining truck in order of priority from low priority to high priority according to the current priority of each mining truck, until the required number of mining trucks are allocated to charging piles, so that the mining trucks allocated to charging piles are in the charging state.

[0204] Optionally, the charging status determination module 830 further includes a first charging status determination unit, a storage unit, and a second charging status determination unit. The first charging status determination unit is used to control the photovoltaic conversion module to charge the mining truck corresponding to the charging pile through the charging pile during the peak photovoltaic output period, and to obtain the photovoltaic conversion amount of the photovoltaic conversion module in real time. The storage unit is used to store the redundant power into the energy storage module when the photovoltaic conversion amount is greater than the preset power threshold. The second charging status determination unit is used to determine a first power supply ratio based on the photovoltaic conversion amount and the preset power threshold when the photovoltaic conversion amount is less than the preset power threshold, and to control the photovoltaic conversion module and the energy storage module to charge the mining truck corresponding to the charging pile through the charging pile based on the first power supply ratio.

[0205] Optionally, the charging status determination module 830 further includes a third charging status determination unit, a power supply ratio determination unit, and a fourth charging status determination unit; the third charging status determination unit is used to control the energy storage module to charge the mining truck corresponding to the charging pile through the charging pile when the current time is not during the peak photovoltaic output period, and to obtain the energy storage capacity of the energy storage module in real time; the power supply ratio determination unit is used to determine a second power supply ratio based on the current energy storage capacity when the current energy storage capacity is less than a preset capacity threshold; the fourth charging status determination unit is used to control the energy storage module and the power grid to charge the mining truck corresponding to the charging pile through the charging pile based on the second power supply ratio.

[0206] Optionally, the charging status determination module 830 further includes a second charging information acquisition unit, a charging power determination unit, and a charging unit; the second charging information acquisition unit is used to acquire the energy storage capacity of the energy storage module and the peak grid load of the power grid in real time when the current time is not during the peak photovoltaic output period; the charging power determination unit is used to determine the charging power of each charging pile based on the current priority ranking of each mining vehicle and the peak grid load when the current energy storage capacity is less than a preset energy threshold; the charging unit is used to control each charging pile to charge the mining vehicle corresponding to that charging pile based on the charging power.

[0207] Optionally, the charging power determination unit is specifically used for: when controlling the power grid to charge the mining car corresponding to the charging pile through the charging pile, obtaining the total power of each mining car charging at its rated power; determining whether the total power is greater than the peak load of the power grid; if the total power is less than or equal to the peak load of the power grid, controlling each charging pile to charge the mining car corresponding to the charging pile at its rated power; if the total power is greater than the peak load of the power grid, determining a first number of mining cars charging at their rated power and a second number of mining cars not charging at their rated power based on the peak load of the power grid and the rated power; controlling the charging piles corresponding to the first number of mining cars arranged from high priority to low priority to charge the mining cars corresponding to the charging piles at their rated power based on the current priority order of each mining car and the first number; determining the total charging power of each mining car charging at its rated power based on the first number and the rated power; determining the remaining power grid based on the total charging power and the peak load of the power grid; determining the average power based on the remaining power grid and the second number; and charging the mining cars corresponding to the second number of mining cars (excluding those charging at their rated power) at their average power using the charging piles corresponding to the charging piles.

[0208] Optionally, the charging scheduling device for the mining trucks also includes a priority ranking adjustment module; the priority ranking adjustment module is used to adjust the priority ranking of each mining truck that is not currently connected to the charging pile, based on the current priority ranking, photovoltaic output information and grid load information.

[0209] Optionally, the information acquisition module 810 also includes a photovoltaic prediction model optimization unit; the photovoltaic prediction model optimization unit is used to acquire photovoltaic utilization information of the photovoltaic system in real time when each mining truck is charging; and optimize the photovoltaic prediction model based on the photovoltaic utilization information.

[0210] Optionally, the priority sorting module 820 also includes a weight ratio adjustment unit; the weight ratio adjustment unit is used to obtain the current mining area information; and adjust the weight ratio of each parameter according to the current mining area information, the urgency of the current operation task, the current remaining power, the current battery health status value, the current photovoltaic output matching degree, and the current grid load off-peak adaptability.

[0211] It is understood that, since the above-described mine car charging scheduling device is an apparatus capable of executing the mine car charging scheduling method in the embodiments of the present invention, those skilled in the art can understand the specific implementation methods and various variations of the mine car charging scheduling device in this embodiment based on the mine car charging scheduling method described in the embodiments of the present invention. Therefore, how the mine car charging scheduling device implements the mine car charging scheduling method in the embodiments of the present invention will not be described in detail here. Any apparatus used by those skilled in the art to implement the mine car charging scheduling method in the embodiments of the present invention falls within the scope of protection of this application.

[0212] Example 10

[0213] This invention also provides a computer storage medium storing computer instructions. These instructions are used to cause a controller to execute the charging scheduling method for mining vehicles according to any embodiment of this invention. Therefore, it possesses the beneficial effects of the corresponding charging scheduling method for mining vehicles. Similarities can be found in the above description, and will not be repeated here.

[0214] In the context of this invention, a computer storage medium can be a tangible medium that may contain or store computer programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof.

[0215] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, combinations, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A charging scheduling method for mining trucks, implemented using a charging scheduling system for mining trucks, characterized in that, The charging scheduling system for the mining trucks includes: multiple mining trucks, multiple charging piles, and a photovoltaic system; each charging pile is electrically connected to the photovoltaic system and the power grid; the photovoltaic system includes a photoelectric conversion module and an energy storage module electrically connected; the charging scheduling method for the mining trucks includes: The system can acquire in real time the urgency of the work tasks of each mining truck, the remaining power and the battery health status, as well as the photovoltaic output matching degree, the grid load off-peak adaptability, photovoltaic output information and grid load information. The current priority ranking of each mining truck is determined based on the urgency of its current task, its current remaining power, its current battery health status, its current photovoltaic output matching degree, and its current grid load off-peak adaptability. Based on the current priority ranking, the photovoltaic power output information, and the power grid load information, the connection status between each charging pile and each mining truck is controlled, as well as the charging status of each mining truck is controlled.

2. The charging scheduling method for mining trucks according to claim 1, characterized in that, Real-time acquisition of the urgency level of the operation tasks of each mining truck, including: The system acquires real-time operational and charging information for each mining truck. The operational information includes transportation routes, shift schedules, estimated task completion time, current location, current load, driving energy consumption, and operational progress. The charging information includes charging requirements and estimated charging time. Based on the work task information and charging information of each mining truck, the urgency level of the work task of each mining truck is determined.

3. The charging scheduling method for mining trucks according to claim 1, characterized in that, Obtaining the photovoltaic power output matching degree and the photovoltaic power output information includes: Obtain historical photovoltaic power output data and future weather information; Based on the historical photovoltaic power output data and the future weather information, the photovoltaic power output information is determined using a photovoltaic prediction model. The photovoltaic output matching degree is determined based on the photovoltaic output information.

4. The charging scheduling method for mining trucks according to claim 1, characterized in that, Obtaining the grid load off-peak adaptability and the grid load information includes: Obtain the real-time load, peak load, real-time electricity price, and power supply status of the power grid; The grid load information is determined based on the real-time load of the grid, the peak load of the grid, the real-time electricity price, and the power supply status of the grid. Based on the power grid load information, determine the power grid load off-peak suitability.

5. The charging scheduling method for mining trucks according to claim 1, characterized in that, Based on the urgency of the current task, the current remaining battery power, the current battery health status, the current photovoltaic power output matching degree, and the current grid load off-peak adaptability of each mining truck, the current priority ranking of each mining truck is determined, including: Obtain the weight ratio of each parameter; the weight ratio includes the task weight ratio, power weight ratio, status weight ratio, photovoltaic weight ratio, and power grid weight ratio; The current weighted score of each mining truck is determined based on the urgency of the current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, the current grid load off-peak adaptability, the task weight ratio, the power weight ratio, the status weight ratio, the photovoltaic weight ratio, and the grid weight ratio. The current priority ranking of each mining truck is determined based on its current weighted score.

6. The charging scheduling method for mining trucks according to claim 1, characterized in that, Based on the current priority ranking, the photovoltaic output information, and the grid load information, the connection status between each charging pile and each mining truck, and the charging status of each mining truck, are controlled, including: Based on the photovoltaic output information, the peak photovoltaic output period is determined, and based on the grid load information, the off-peak grid load period is determined. The first time and the second time are acquired in real time; the first time is the time interval between the current time and the start time of the grid load trough period, and the second time is the time interval between the current time and the start time of the photovoltaic output peak period. During the peak photovoltaic power output period and the off-peak period of the power grid load, when the first time is less than or equal to the second time, during the off-peak period of the power grid load, the charging piles are allocated to each of the mining vehicles in descending order of priority according to their current priority, until all the charging piles have been allocated and / or each of the mining vehicles has been allocated a charging pile, so that each of the mining vehicles allocated a charging pile is in a charging state. During the peak photovoltaic power output period and the off-peak grid load period, when the first time is longer than the second time, during the peak photovoltaic power output period, according to the current priority of each mining vehicle, the charging piles are allocated to each mining vehicle in descending order of priority until all the charging piles have been allocated and / or each mining vehicle has been allocated a charging pile, so that each mining vehicle allocated a charging pile is in a charging state.

7. The charging scheduling method for mining trucks according to claim 1, characterized in that, Based on the current priority ranking, the photovoltaic output information, and the grid load information, the connection status between each charging pile and each mining truck, and the charging status of each mining truck, are controlled, including: Based on the photovoltaic output information, the peak photovoltaic output period is determined, and based on the grid load information, the off-peak grid load period is determined. When the current time is not during the peak photovoltaic output period and / or the off-peak period of the grid load, the energy storage capacity of the energy storage module and the peak grid load are obtained in real time. The number of charging piles that can simultaneously charge each of the mining trucks is determined as the charging quantity based on the energy storage capacity of the energy storage module and the peak load of the power grid. According to the current priority of each mining vehicle, the charging piles are assigned to each mining vehicle in order from low priority to high priority, until the number of mining vehicles to be charged is assigned to the charging piles, so that the mining vehicles assigned to the charging piles are in a charging state.

8. The charging scheduling method for mining trucks according to claim 6, characterized in that, Also includes: During the peak photovoltaic output period, the photoelectric conversion module is controlled to charge the mining truck corresponding to the charging pile through the charging pile, and the photoelectric conversion amount of the photoelectric conversion module is obtained in real time. When the photoelectric conversion amount is greater than a preset power threshold, the redundant power is stored in the energy storage module; wherein, the redundant power is the power difference between the photoelectric conversion amount and the preset power threshold; When the photoelectric conversion amount is less than a preset power threshold, a first power supply ratio is determined based on the photoelectric conversion amount and the preset power threshold, and the photoelectric conversion module and the energy storage module are controlled to charge the mining vehicle corresponding to the charging pile through the charging pile based on the first power supply ratio.

9. The charging scheduling method for mining trucks according to claim 6, characterized in that, Also includes: When the current time is not during the peak photovoltaic output period, the energy storage module is controlled to charge the mining truck corresponding to the charging pile through the charging pile, and the energy storage capacity of the energy storage module is obtained in real time. When the current energy storage capacity is less than a preset energy threshold, a second power supply ratio is determined based on the current energy storage capacity; The energy storage module and the power grid are controlled to charge the mining truck corresponding to the charging pile through the charging pile based on the second power supply ratio.

10. The charging scheduling method for mining trucks according to claim 8, characterized in that, Also includes: When the current time is not during the peak photovoltaic output period, the energy storage capacity of the energy storage module and the peak grid load of the power grid are obtained in real time. When the current energy storage capacity is less than the preset energy threshold, the charging power of each charging pile is determined according to the current priority ranking of each mining vehicle and the peak load of the power grid. The system controls each charging pile to charge the mining vehicle corresponding to that charging pile based on the charging power.

11. The charging scheduling method for mining trucks according to claim 10, characterized in that, When the current energy storage capacity is less than a preset energy threshold, the charging power of each charging pile is determined based on the current priority ranking of each mining vehicle and the peak load of the power grid, including: When controlling the power grid to charge the mining truck corresponding to the charging pile through the charging pile, the total power of each of the mining trucks being charged is obtained when they are charging at the rated power. Determine whether the total power is greater than the peak power grid load; If not, then each of the charging piles is controlled to charge the mining car corresponding to that charging pile according to the rated power; If so, then based on the peak load of the power grid and the rated power, determine the first number of the mining trucks that are charged at the rated power and the second number of the mining trucks that are not charged at the rated power; Based on the current priority order of each mining truck and the first quantity, the charging piles corresponding to the first quantity of mining trucks arranged in descending order of priority are controlled to charge the mining trucks corresponding to the charging piles at the rated power. Based on the first quantity and the rated power, determine the total charging power of each of the mining cars charged at the rated power; The remaining grid power is determined based on the total charging power and the peak grid load. The average power is determined based on the remaining grid power and the second quantity; The charging piles corresponding to the remaining second number of mine cars, excluding the mine cars being charged at the rated power, are used to charge the mine cars corresponding to the charging piles at the average power.

12. The charging scheduling method for mining trucks according to claim 1, characterized in that, Also includes: If there are mining trucks that are not currently connected to the charging pile, the priority order of each mining truck that is not connected to the charging pile shall be adjusted according to the current priority order, the photovoltaic output information and the power grid load information.

13. The charging scheduling method for mining trucks according to claim 3, characterized in that, Also includes: While each of the mining trucks is charging, the photovoltaic utilization information of the photovoltaic system is acquired in real time. The photovoltaic prediction model is optimized based on the photovoltaic utilization information.

14. The charging scheduling method for mining trucks according to claim 5, characterized in that, Also includes: Obtain current mining area information; The weight ratios of each parameter are adjusted based on the current mining area information, the urgency of the current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, and the current grid load off-peak adaptability.

15. A charging scheduling device for mining trucks, implemented using a charging scheduling system for mining trucks, characterized in that, The charging dispatching system for the mining trucks includes: multiple mining trucks, multiple charging piles, and a photovoltaic system; each charging pile is electrically connected to the photovoltaic system and the power grid; the photovoltaic system includes a photoelectric conversion module and an energy storage module electrically connected; the charging dispatching device for the mining trucks includes: The information acquisition module is used to acquire in real time the urgency of the work tasks of each mining truck, the remaining power and the battery health status value, as well as the photovoltaic output matching degree, the grid load off-peak adaptability degree, photovoltaic output information and grid load information; The priority ranking module is used to determine the current priority ranking of each mining truck based on the urgency of its current task, the current remaining power, the current battery health status, the current photovoltaic output matching degree, and the current grid load off-peak adaptability. The charging status determination module is used to control the connection status between each charging pile and each mining truck, and to control the charging status of each mining truck, based on the current priority order, the photovoltaic output information, and the grid load information.

16. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which are used to cause the controller to implement the charging scheduling method for the mining truck as described in any one of claims 1-14.

17. A charging scheduling system for mining trucks, characterized in that, include: The system comprises multiple mining trucks, multiple charging piles, a photovoltaic system, and a controller; each of the charging piles is electrically connected to the photovoltaic system and the power grid; the photovoltaic system includes a photoelectric conversion module and an energy storage module electrically connected; the controller is communicatively connected to each of the mining trucks, each of the charging piles, and the photovoltaic system, and the controller is used to execute the charging scheduling method for the mining trucks according to any one of claims 1-14.

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