A method and system for evaluating the timing of battery swapping for unmanned electric mining trucks

Abstract

This invention discloses a method for evaluating the timing of battery swapping for unmanned electric mining trucks, comprising: acquiring power consumption data of the unmanned electric mining truck; analyzing the power consumption data and providing corresponding prompts based on the evaluation of the calculation module; sending the prompts for manual confirmation; and accepting the battery swapping result when the percentage of remaining energy read is greater than a set threshold. This method fully utilizes the advantages of unmanned driving systems, such as complete vehicle data, controllable driving modes, and relatively fixed transportation routes, to optimize the timing of battery swapping, reduce the total number of battery swaps, and improve the operational efficiency of unmanned electric mining trucks. It also ensures high utilization of the electrical energy stored in the battery pack, further reducing the total number of battery swaps.

Description

Technical Field

[0001] This invention relates to the field of battery swapping timing assessment technology, specifically a method for assessing the timing of battery swapping for unmanned electric mining trucks. Background Technology

[0002] The timing of battery swapping for unmanned electric mining trucks has a significant impact on operational efficiency. When swapping batteries, unmanned electric mining trucks need to leave the work area and travel to a battery swapping station. To ensure the trucks can reach the station, the current practice is to determine the swapping time based on the battery's remaining percentage of charge (SOC). A fixed SOC value is typically selected, and when the SOC falls below this value, the truck must proceed to the swapping station for a battery swap.

[0003] Because different vehicles have different energy consumption levels and the battery packs of each vehicle are of different ages, in order to ensure that vehicles with high energy consumption and old batteries can reach the battery swapping station, the selected SOC value is usually high, usually 20% to 30%. This means that the electrical energy stored in the battery pack is not fully utilized. Overall, this increases the total number of battery swaps for all vehicles on a work surface and reduces work efficiency.

[0004] The above methods do not fully utilize the advantages of unmanned driving systems, such as complete vehicle data, controllable driving modes, and relatively fixed transportation routes, to optimize battery swapping timing, reduce the total number of battery swaps, and improve the operational efficiency of unmanned electric mining trucks. Summary of the Invention

[0005] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0006] In view of the above-mentioned problems, the present invention is proposed.

[0007] Therefore, the technical problem solved by this invention is: the existing battery swapping evaluation methods have low operating efficiency and high number of battery swaps, and how to optimize them by taking advantage of the advantages of unmanned driving systems, such as complete vehicle data, controllable driving modes, and relatively fixed transportation routes.

[0008] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for evaluating the timing of battery swapping for unmanned electric mining trucks, comprising:

[0009] Obtain power consumption data for unmanned electric mining trucks;

[0010] The electricity consumption data is analyzed, and corresponding prompts are given based on the evaluation of the calculation module;

[0011] The prompt message is sent for manual confirmation. When the percentage of remaining energy read is greater than the set threshold, the battery swap result is accepted.

[0012] As an evaluation method for the timing of battery swapping of unmanned electric mining trucks according to the present invention, the power consumption data includes historical energy consumption data of the most recent N working cycles when operating on the same working face, obtained from the unmanned driving system.

[0013] If the historical energy consumption data is less than N times, the actual number of times is used as the standard, and the average energy consumption over N times is calculated as E. 作业 When the mining truck is operating at this workface for the first time and there is no historical energy consumption data, the haul distance under light and heavy loads is obtained from the unmanned driving system. The energy consumption of the operation cycle is calculated based on the default energy consumption value per unit haul distance, expressed as:

[0014] E 作业 =e 轻 S 轻 +e 重 S 重

[0015] Among them, E 作业 Energy consumption for one work cycle; e 轻 Energy consumption per unit transport distance for mining trucks under light load; S 轻 e is the transport distance of a mining truck under light load during one work cycle; 重 Energy consumption per unit transport distance when the mining truck is under heavy load; S 重 This refers to the transport distance of a mining truck under heavy load during one work cycle.

[0016] As an evaluation method for the timing of battery swapping for unmanned electric mining trucks according to the present invention, the method is characterized in that: the electricity consumption data further includes:

[0017] The energy consumption E of an autonomous electric mining truck traveling from the unloading point to the battery swapping station is obtained from the autonomous driving system. 换电1 Energy consumption E during the journey to the loading point after battery swapping 换电2 ;

[0018] When historical energy consumption data is unavailable, the average energy consumption of the work cycle based on historical data is compared with the energy consumption of the work cycle calculated based on historical data to obtain the ratio of useless energy loss. The calculated energy consumption is then adjusted using the ratio of useless energy loss to obtain the adjusted energy consumption.

[0019] The method for evaluating the timing of battery swapping for unmanned electric mining trucks as described in this invention is characterized in that: the evaluation by the calculation module includes:

[0020] The battery pack has 5% reserve power. The estimated number of operating cycles that the remaining power in the battery pack can sustain is expressed as:

[0021] '”

[0022] n = [C(SOE-5%)-E] 换电1 -E 换电2 ] / E 作业

[0023] Where n represents the number of operation cycles that the remaining power can sustain, rounded down to obtain the number of operations; C represents the total electrical energy stored in the battery pack when fully charged; E' 换电1 E' represents the adjusted energy consumption from the unloading point to the battery swapping station; 换电2 E' represents the adjusted energy consumption over the journey from the battery swapping station to the loading point. 作业 It indicates the energy consumption of one work cycle after adjustment, and SOE represents the percentage of remaining electrical energy.

[0024] The method for evaluating the timing of battery swapping for unmanned electric mining trucks as described in this invention is characterized in that: the evaluation by the calculation module further includes:

[0025] During vehicle operation, the calculation module updates the remaining electrical energy percentage and energy consumption data in real time, replacing the estimated values ​​with actual values; the number of operation cycles of the unmanned electric mining truck after it arrives at the loading point from the battery swapping station can be expressed as:

[0026] ''

[0027] n = [C(SOE-5%)-E] 换电1 ] / E 作业

[0028] After a work cycle is completed, the actual energy consumption data becomes a historical value, and the estimation system recalculates using the previous N historical energy consumption data.

[0029] Among them, P t P represents the total power at time t. iF This represents the power consumption of physical machine i at load rate F.

[0030] The method for evaluating the timing of battery swapping for unmanned electric mining trucks as described in this invention is characterized in that: the evaluation by the calculation module further includes:

[0031] When a work cycle is completed and the number of updated work cycles is less than 1, the battery swapping condition is met. The information output module provides a battery swapping prompt for the unmanned electric mining truck and requires manual confirmation.

[0032] When the read remaining energy percentage (SOE) is greater than the set threshold, the calculation module accepts the battery swap result; if the energy consumption of the remaining number of job tasks is less than the energy consumption that the remaining energy percentage can provide, the calculation module forcibly closes the swap permission and continues to execute the job using the existing battery pack; if the energy consumption of the remaining number of job tasks is greater than or equal to the energy consumption that the remaining energy percentage can provide, the battery pack will continue to be swapped.

[0033] The method for evaluating the timing of battery swapping for unmanned electric mining trucks as described in this invention is characterized in that: the replacement of the battery pack further includes:

[0034] If the battery swapping time exceeds the preset limit, select the battery pack with the highest capacity from the replacement battery packs.

[0035] If there is no preset time limit for battery swapping, the battery capacity will be assessed. If charging the battery pack within the time limit can meet the energy consumption requirements for the remaining number of tasks, the battery pack will be charged immediately until the preset time limit is reached to start the operation. If charging the battery pack within the time limit cannot meet the energy consumption requirements for the remaining number of tasks, the battery pack replacement for the unmanned electric mining truck will continue.

[0036] An evaluation system for the timing of battery swapping of unmanned electric mining trucks, employing the evaluation method for the timing of battery swapping of unmanned electric mining trucks as described in this invention, is characterized by:

[0037] Data acquisition module: acquires the power consumption data of the unmanned electric mining truck and transmits the acquired data to the computing module;

[0038] Calculation module: Calculates energy consumption and cycle count during operation, and issues battery swapping prompts based on power consumption analysis;

[0039] Information output module: Receives battery swapping instructions and sends them to a human for confirmation.

[0040] A computer device includes: a memory and a processor; the memory stores a computer program, characterized in that: when the processor executes the computer program, it implements the steps of the method described in any one of the present invention.

[0041] A computer-readable storage medium having a computer program stored thereon, characterized in that: when the computer program is executed by a processor, it implements the steps of the method described in any one of the present invention.

[0042] The beneficial effects of this invention are as follows: The method for evaluating the battery swapping timing of unmanned electric mining trucks provided by this invention fully utilizes the advantages of unmanned driving systems, such as complete vehicle data, controllable driving modes, and relatively fixed transportation routes, to optimize battery swapping timing, reduce the total number of battery swaps, and improve the operational efficiency of unmanned electric mining trucks. Energy consumption is calculated using SOE data provided by the battery pack's battery management system. Compared to SOC data, SOE data is more accurate in estimating the remaining energy of the battery pack. Real-time energy consumption data is used to calculate the remaining number of operating cycles, and battery swapping is performed when the conditions for swapping are met. Compared to the mode of swapping based on a fixed SOC value, this method has a higher utilization rate of the electrical energy stored in the battery pack, reducing the total number of battery swaps. This algorithm has low computational complexity and is easy to implement, requiring only a data collection module, a calculation module, and an information output module. The battery swapping timing estimation system can be embedded in the vehicle's controller. Attached Figure Description

[0043] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0044] Figure 1 The overall flowchart of an evaluation method for the timing of battery swapping for an unmanned electric mining truck provided in the first embodiment of the present invention;

[0045] Figure 2 This is a structural diagram of an evaluation system for the timing of battery swapping of an unmanned electric mining truck, provided in the second embodiment of the present invention.

[0046] Figure 3 This is a schematic diagram illustrating an evaluation method for the timing of battery swapping for an unmanned electric mining truck, provided as a second embodiment of the present invention. Detailed Implementation

[0047] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0048] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0049] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0050] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0051] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0052] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0053] Example 1

[0054] Reference Figure 1 As an embodiment of the present invention, a method for evaluating the timing of battery swapping for unmanned electric mining trucks is provided, comprising:

[0055] S1: Obtain the power consumption data of the unmanned electric mining truck.

[0056] Furthermore, the loading, unloading, and battery swapping station locations of the unmanned electric mining trucks are fixed and remain largely unchanged during operation. The transportation and battery swapping routes of the unmanned electric mining trucks are also fixed and remain largely unchanged during operation. This invention fully utilizes historical energy consumption data, previous energy consumption data, path length, and other data stored in the unmanned driving system, as well as the remaining energy percentage (SOE) increased by the battery pack management system, to estimate the remaining round trips and determine the timing of battery swapping.

[0057] It should be noted that the process involves replacing the battery pack at the battery swapping station with a fully charged one, proceeding to the stripper loading point, loading the stripper, driving to the unloading point, unloading, and returning to the loading point to complete one work cycle. When a battery swap is needed, the unloading must be completed at the unloading point before proceeding to the battery swapping station for the swap, and then returning to the loading point to load the new battery.

[0058] S2: Analyze the power consumption data and provide corresponding prompts based on the evaluation of the calculation module.

[0059] Furthermore, historical energy consumption data from the most recent N work cycles on the same work surface is obtained from the autonomous driving system; if there are fewer than N historical energy consumption cycles, the actual number of cycles is used as the benchmark, and the average energy consumption of N cycles is calculated as E. 作业 When the mining truck is operating at this workface for the first time and there is no historical energy consumption data, the haul distance under light and heavy loads is obtained from the unmanned driving system. The energy consumption of the operation cycle is calculated based on the default energy consumption value per unit haul distance, expressed as:

[0060] E 作业 =e 轻 S 轻 +e 重 S 重

[0061] Among them, E 作业 Energy consumption for one work cycle; e 轻 Energy consumption per unit transport distance for mining trucks under light load; S 轻 e is the transport distance of a mining truck under light load during one work cycle; 重 Energy consumption per unit transport distance when the mining truck is under heavy load; S 重 This refers to the transport distance of a mining truck under heavy load during one work cycle.

[0062] It should be noted that the energy consumption E of the unmanned electric mining truck traveling from the unloading point to the battery swapping station is obtained from the autonomous driving system. 换电1 Energy consumption E during the journey to the loading point after battery swapping 换电2When there is no historical energy consumption data, the average energy consumption of the work cycle in historical data is compared with the energy consumption of the work cycle calculated from the historical data to obtain the useless loss ratio of energy consumption. The calculated energy consumption is then adjusted using the useless loss ratio to obtain the adjusted energy consumption.

[0063] Furthermore, the evaluation by the calculation module includes: reserving 5% of the battery pack's capacity as a backup, and estimating the number of operation cycles that the remaining capacity in the battery pack can sustain, which can be expressed as:

[0064] '”

[0065] n = [C(SOE-5%)-E] 换电1 -E 换电2 ] / E 作业

[0066] Where n represents the number of operation cycles that the remaining power can sustain, rounded down to obtain the number of operations; C represents the total electrical energy stored in the battery pack when fully charged; E' 换电1 E' represents the adjusted energy consumption from the unloading point to the battery swapping station; 换电2 E' represents the adjusted energy consumption over the journey from the battery swapping station to the loading point. 作业 It indicates the energy consumption of one work cycle after adjustment, and SOE represents the percentage of remaining electrical energy.

[0067] It should be noted that during vehicle operation, the calculation module updates the remaining electrical energy percentage and energy consumption data in real time, replacing the estimated values ​​with actual values; the number of operation cycles of the unmanned electric mining truck after it arrives at the loading point from the battery swapping station can be expressed as:

[0068] n = [C(SOE-5%)-E'] 换电1 ] / E' 作业

[0069] After a work cycle is completed, the actual energy consumption data becomes a historical value, and the estimation system recalculates using the previous N historical energy consumption data.

[0070] It should be understood that after the unmanned electric mining truck completes the battery pack replacement at the battery swapping station, the estimation system reads SOE data from the battery pack's battery management system. To reduce the number of battery swaps, the estimation system can set a relatively high SOE threshold, such as 90%–95%. After the new battery pack is installed, the estimation system reads the SOE data from the battery management system again. When the read SOE is less than the aforementioned threshold, the estimation system provides a corresponding prompt and requires manual confirmation. When the read SOE is greater than the aforementioned threshold, the estimation system accepts the battery swap result.

[0071] S3: Send the prompt information for manual confirmation. When the percentage of remaining energy read is greater than the set threshold, accept the battery swap result.

[0072] Furthermore, when a work cycle is completed and the number of updated work cycles is less than 1, the battery swapping condition is met. The information output module provides a battery swapping prompt for the unmanned electric mining truck and requires manual confirmation. When the read remaining energy percentage (SOE) is greater than a set threshold, the calculation module accepts the battery swapping result. If the energy consumption of the remaining work tasks is less than the energy consumption that the remaining energy percentage can provide, the calculation module forcibly closes the swapping permission and continues to execute the work using the existing battery pack. If the energy consumption of the remaining work tasks is greater than or equal to the energy consumption that the remaining energy percentage can provide, the battery pack will continue to be swapped.

[0073] It should be noted that battery pack replacement also includes: if the battery swapping time exceeds the preset time limit, the battery pack with the highest capacity will be selected from the replacement battery packs; if there is no preset time limit for the battery swapping time, the capacity will be evaluated, and if immediate charging of the battery pack within the time limit can meet the energy consumption requirements for the remaining number of work tasks, the battery pack will be immediately charged until the preset time limit is reached to start work; if immediate charging of the battery pack within the time limit cannot meet the energy consumption requirements for the remaining number of work tasks, the battery pack replacement for the unmanned electric mining truck will continue.

[0074] It should be noted that constantly replacing the battery pack can cause the battery pack to undergo repeated charging and discharging changes, reducing its lifespan. However, within a limited time, standby charging can save time while still meeting the power requirements.

[0075] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory, magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory, magnetic variable memory, ferroelectric memory, phase change memory, graphene memory, etc. Volatile memory can include random access memory or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory or dynamic random access memory, etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include blockchain-based distributed databases, etc., and are not limited thereto.

[0076] The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited thereto.

[0077] Example 2

[0078] Reference Figure 2-3 As an embodiment of the present invention, a method for evaluating the timing of battery swapping for unmanned electric mining trucks is provided. To verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculations and simulation experiments.

[0079] First, a simulation experiment was conducted using open-pit mine stripping operations as an example. Under the conditions of a truck-to-shovel ratio of 7:1 and a transport distance of 6km, an operation simulation was created using 14 unmanned electric mining trucks. Compared with the conventional fixed SOC numerical battery swapping operation scheme, the estimation method and system for battery swapping timing of the unmanned electric mining trucks of this invention can reduce the number of battery swapping times by about 6%.

[0080] Table 1 compares the battery swapping time and number of battery swaps before and after using the present invention.

[0081] Table 1: Comparison of Battery Swapping Performance

[0082]

[0083] It can be seen that after using the present invention, the number of battery swaps in the three time periods is less than before using the present invention. At the same time, the average battery swap time before using the present invention is longer and fluctuates greatly, and is extremely unstable. The present invention can shorten the average battery swap time.

[0084] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for evaluating the timing of battery swapping for unmanned electric mining trucks, characterized in that, include: Obtain power consumption data for unmanned electric mining trucks; The power consumption data is analyzed, and corresponding prompts are given based on the evaluation of the calculation module; The prompt message is sent for manual confirmation. When the percentage of remaining energy read is greater than the set threshold, the battery swap result is accepted. The electricity consumption data includes historical energy consumption data from the N most recent work cycles when working on the same work surface, obtained from the unmanned driving system. If the historical energy consumption data is less than N times, the actual number of times is used as the standard, and the average energy consumption over N times is calculated as E. 作业 When the mining truck is operating at this workface for the first time and there is no historical energy consumption data, the haul distance under light and heavy loads is obtained from the unmanned driving system. The energy consumption of the operation cycle is calculated based on the default energy consumption value per unit haul distance, expressed as: E 作业 =e 轻 S 轻 +e 重 S 重 Among them, E 作业 Energy consumption for one work cycle; e 轻 Energy consumption per unit transport distance for mining trucks under light load; S 轻 e is the transport distance of a mining truck under light load during one work cycle; 重 Energy consumption per unit transport distance when the mining truck is under heavy load; S 重 The transportation distance of the mining truck under heavy load during one work cycle; the electricity consumption data also includes: The energy consumption E of an autonomous electric mining truck traveling from the unloading point to the battery swapping station is obtained from the autonomous driving system. 换电1 Energy consumption E during the journey to the loading point after battery swapping 换电2 ; In the absence of historical energy consumption data, the average energy consumption of a work cycle based on historical data is compared with the energy consumption of a work cycle calculated from historical data to obtain the ratio of wasted energy consumption. This wasted energy consumption ratio is then used to adjust the calculated energy consumption, resulting in the adjusted energy consumption. The evaluation of the calculation module includes: The battery pack has 5% reserve power. The estimated number of operating cycles that the remaining power in the battery pack can sustain is expressed as: n=[C(SOE-5%)-E' 换电1 -AND' 换电2 ] / AND' 作业 Where n represents the number of operation cycles that the remaining power can sustain, rounded down to obtain the number of operations; C represents the total electrical energy stored in the battery pack when fully charged; E ’ 换电1 E represents the adjusted energy consumption from the unloading point to the battery swapping station; ′ 换电2 E represents the adjusted energy consumption over the journey from the battery swapping station to the loading point. ′ 作业 It indicates the energy consumption of one work cycle after adjustment, and SOE represents the percentage of remaining electrical energy.

2. The method for evaluating the timing of battery swapping for unmanned electric mining trucks as described in claim 1, characterized in that: The evaluation of the computing module also includes: During vehicle operation, the calculation module updates the remaining electrical energy percentage and energy consumption data in real time, replacing the estimated values ​​with actual values; the number of operation cycles after the unmanned electric mining truck arrives at the loading point from the battery swapping station is represented as follows: n=[C(SOE-5%)-E' 换电1 ] / AND' 作业 After a work cycle is completed, the actual energy consumption data becomes a historical value, and the estimation system recalculates using the previous N historical energy consumption data. Among them, P t P represents the total power at time t. iF This represents the power consumption of physical machine i at load rate F.

3. The method for evaluating the timing of battery swapping for unmanned electric mining trucks as described in claim 2, characterized in that: The evaluation of the computing module also includes: When a work cycle is completed and the number of updated work cycles is less than 1, the battery swapping condition is met. The information output module provides a battery swapping prompt for the unmanned electric mining truck and requires manual confirmation. When the read remaining energy percentage (SOE) is greater than the set threshold, the calculation module accepts the battery swap result; if the energy consumption of the remaining number of job tasks is less than the energy consumption that the remaining energy percentage can provide, the calculation module forcibly closes the swap permission and continues to execute the job using the existing battery pack; if the energy consumption of the remaining number of job tasks is greater than or equal to the energy consumption that the remaining energy percentage can provide, the battery pack will continue to be swapped.

4. The method for evaluating the timing of battery swapping for unmanned electric mining trucks as described in claim 3, characterized in that: The battery pack replacement also includes: If the battery swapping time exceeds the preset limit, select the battery pack with the highest capacity from the replacement battery packs. If the battery swapping time does not exceed the preset time limit, the battery capacity is evaluated. If charging the battery pack immediately within the time limit can meet the energy consumption requirements for the remaining number of tasks, the battery pack is charged immediately until the preset time limit is reached to start the operation. If charging the battery pack immediately within the time limit cannot meet the energy consumption requirements for the remaining number of tasks, the battery pack replacement for the unmanned electric mining truck continues.

5. A system for evaluating the timing of battery swapping for unmanned electric mining trucks, employing the evaluation method for battery swapping timing as described in any one of claims 1-4, characterized in that: Data acquisition module: acquires the power consumption data of the unmanned electric mining truck and transmits the acquired data to the computing module; Calculation module: Calculates energy consumption and cycle count during operation, and issues battery swapping prompts based on power consumption analysis; Information output module: Receives battery swapping instructions and sends them to a human for confirmation.

6. A computer device, comprising: Memory and processor; The memory stores a computer program, characterized in that: when the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

Images