Battery power management system and method based on mine car intelligent scheduling

Abstract

The invention discloses a battery power management system and method based on mine car intelligent scheduling. Comprising a battery management module used for obtaining the charge state of a target mine car battery and sending the charge state to a whole car controller through an in-car network; and the whole vehicle controller is used for acquiring the charge state, the power consumption of each line and the power distribution quantity of the whole vehicle, calculating the residual electric quantity of the target mine vehicle according to the charge state and the power distribution quantity of the whole vehicle, and giving a low-electric-quantity alarm according to the residual electric quantity and the power consumption of each line. The vehicle control unit gives a low-power alarm according to the calculated residual power and the power consumption of each route, so that the conventional extensive management mode that power output is limited only due to low power is changed, the system can plan the operation of the mine car more reasonably, unnecessary power limitation is avoided on the premise of ensuring the safety of a battery, and the safety of the mine car is improved. The influence of the limited speed on the mine car attendance efficiency is reduced, it is ensured that the mine car can complete the transportation task more efficiently, and the production progress of the whole mine area is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of mine car dispatching, and in particular to a battery power management system and method based on mine car intelligent dispatching. Background Art

[0002] In the mine car operation scenario, batteries play a vital role as a power source. Accurate battery power management has a far-reaching impact on ensuring the normal operation of the mine car, extending the battery life, and improving operating efficiency. With the development of intelligent mine cars, higher requirements are placed on the battery power management system, which not only needs to provide timely feedback on the battery power status, but also requires more intelligent planning and management to avoid various adverse consequences caused by power problems.

[0003] At present, in terms of battery power management, mining vehicles basically follow the general low state of charge alarm mechanism of battery manufacturers. When the battery's state of charge drops to 12%, the second-level low battery alarm is triggered; when the SOC further drops to 8%, the first-level low battery alarm is triggered.

[0004] However, when the battery power is in the second or first level alarm state, the mine car may be far away from the charging location. Although the alarm indicates that the battery power is low, it still tries to go to charge. In this process, it is easy to cause the battery to over-discharge. Battery over-discharge will cause irreversible damage to the chemical structure inside the battery, which will seriously affect the battery life and increase the cost of battery replacement. Secondly, in order to avoid excessive battery consumption, power output is often limited when the power is low. The limited power directly leads to a reduction in vehicle speed, making it impossible for the mine car to travel at a normal speed when performing transportation tasks, affecting the attendance efficiency of the mine car, and then affecting the production progress of the entire mining area. Summary of the invention

[0005] The present invention provides a battery power management system and method based on intelligent scheduling of mine cars, which can optimize the number of charging times of mine cars, improve operational efficiency and ensure that the battery is not over-discharged.

[0006] According to one aspect of the present invention, a battery power management system based on intelligent scheduling of mining vehicles is provided, the system comprising: a vehicle controller, a battery management module connected to the vehicle controller;

[0007] The battery management module is used to obtain the charge status of the target mining vehicle battery and send the charge status to the vehicle controller through the in-vehicle network;

[0008] The vehicle controller is used to obtain the state of charge, power consumption of each route and the power distribution of the vehicle. It calculates the remaining power of the target mining vehicle based on the state of charge and the power distribution of the vehicle, and issues a low-power alarm based on the remaining power and power consumption of each route.

[0009] Optionally, the vehicle controller is specifically used to: calculate the product of the state of charge and the vehicle's power distribution as the remaining power of the target mine car; when the remaining power is less than the preset power, determine the target route power consumption from the power consumption of each route based on a preset optimal path scheduling algorithm; and determine the power status of the target mine car based on the target route power consumption and the remaining power; when the power is insufficient, generate a low power alarm prompt.

[0010] Optionally, the system also includes: a monitoring host connected to the vehicle controller, and a mine car intelligent dispatching platform connected to the monitoring host; the monitoring host is used to obtain the driving route of each vehicle, and determine the target position based on the driving route of each vehicle, and when it is determined that the mine car has reached the target position, it generates arrival prompt information, and sends the arrival prompt information to the mine car intelligent dispatching platform; the mine car intelligent dispatching platform is used to calculate the power consumption of each route according to the arrival prompt information, wherein the route power consumption includes no-load power consumption and full-load power consumption.

[0011] Optionally, the mine car intelligent dispatching platform is also used to obtain the actual layout information of the current mining area, and determine the key point positions in the actual layout information, plan the driving routes of each vehicle according to the key point positions, and send the driving routes of each vehicle to the monitoring host, where the key points include loading points, unloading points and charging stations, and the vehicle driving routes include the path from the loading point to the unloading point, the path from the loading point to the charging station, and the path from the unloading point to the charging station.

[0012] Optionally, the mine car intelligent dispatching platform is also used to send the power consumption of each route to the monitoring host; the monitoring host is used to forward the power consumption of each route to the vehicle controller.

[0013] Optionally, the intelligent dispatching platform for mining vehicles is also used to take the driving routes of each vehicle as the routes to be updated in turn, determine the average power consumption of a specified number based on the routes to be updated, and obtain the historical power consumption corresponding to the routes to be updated that was last sent down. When the deviation between the average power consumption value and the historical power consumption value is greater than a preset threshold, the average power consumption value is used as the updated power consumption corresponding to the route to be updated and sent down to the monitoring host.

[0014] Optionally, the system also includes: an alarm module connected to the vehicle controller; a vehicle controller, used to calculate the power difference between the remaining power and the power consumption of the target route, when the power difference is less than a preset power difference, determine that the power situation is insufficient, and generate a low power alarm prompt, and send the low power alarm prompt to the alarm module; an alarm module, used to alarm in a specified manner according to the low power alarm prompt.

[0015] According to another aspect of the present invention, a battery power management method based on intelligent scheduling of mining vehicles is provided, the method comprising:

[0016] The battery management module obtains the charge status of the target mining vehicle battery and sends the charge status to the vehicle controller through the in-vehicle network;

[0017] The vehicle controller obtains the charge state, power consumption of each route and vehicle power distribution, calculates the remaining power of the target mining vehicle based on the charge state and vehicle power distribution, and issues a low-battery alarm based on the remaining power and power consumption of each route.

[0018] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0019] At least one processor; and a memory in communication with the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute a battery power management method based on intelligent scheduling of mine cars as described in any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement a battery power management method based on intelligent scheduling of mine cars as described in any embodiment of the present invention when executed.

[0021] The technical solution of the embodiment of the present invention integrates multi-dimensional information such as battery charge status, power consumption of each route and vehicle power distribution, providing more comprehensive and accurate data support for intelligent scheduling of mine cars. The vehicle controller issues a low-battery alarm based on the calculated remaining power and power consumption of each route, changing the previous extensive management method of limiting power output simply due to low power, enabling the system to more reasonably plan the operation of the mine car, avoiding unnecessary power restrictions while ensuring battery safety, reducing the impact of speed limits on the attendance efficiency of the mine car, ensuring that the mine car can complete the transportation task more efficiently, and improving the production progress of the entire mining area.

[0022] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 is a structural schematic diagram of a battery power management system based on intelligent scheduling of mining vehicles provided according to Embodiment 1 of the present invention;

[0025] Figure 2 It is a structural schematic diagram of another battery power management system based on intelligent scheduling of mining vehicles provided according to the first embodiment of the present invention;

[0026] Figure 3 is a structural schematic diagram of another battery power management system based on intelligent scheduling of mining vehicles provided according to Embodiment 2 of the present invention;

[0027] Figure 4 is a flow chart of a battery power management method based on intelligent scheduling of mining vehicles according to Embodiment 3 of the present invention;

[0028] Figure 5 It is a structural schematic diagram of an electronic device for implementing a battery power management method based on intelligent scheduling of mining vehicles according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] Embodiment 1

[0032] Figure 1 A structural schematic diagram of a battery power management system based on intelligent scheduling of mining vehicles is provided for the first embodiment of the present invention. The system includes: a vehicle controller 110 and a battery management module 120 connected to the vehicle controller 110.

[0033] Among them, the vehicle control unit 110 (VCU) is responsible for coordinating and controlling the various systems of the vehicle, processing various information and issuing corresponding instructions. The battery management module 120 (BMS) is mainly used to obtain the state of charge (SOC) of the target mine car battery. The state of charge indicates the proportion of the current remaining power of the battery to the total capacity of the battery. For example, when the SOC is 50%, it means that the remaining power of the battery is half of the total capacity.

[0034] Optionally, the battery management module 120 is used to obtain the charge state of the battery of the target mine car and send the charge state to the vehicle controller 110 through the in-vehicle network; the vehicle controller 110 is used to obtain the charge state, the power consumption of each route and the vehicle power distribution, calculate the remaining power of the target mine car according to the charge state and the vehicle power distribution, and issue a low-battery alarm according to the remaining power and the power consumption of each route.

[0035] Among them, the battery management module 120 is mainly responsible for real-time monitoring of the state of charge of the target mine car battery. Specifically, the built-in sensors can be used to measure and analyze the battery's voltage, current, temperature and other parameters. Taking voltage measurement as an example, different battery voltages correspond to different states of charge. Through precise voltage measurement, combined with the battery's characteristic curve and algorithm model, the current state of charge can be accurately calculated. In actual applications, the battery management module 120 monitors the various states of the battery at all times to prevent abnormal conditions such as overcharging and over-discharging of the battery, and to ensure the safety and service life of the battery. After calculating the SOC, it uses the in-vehicle network, such as the CAN bus, to send the acquired state of charge to the vehicle controller 110 to provide basic data support for subsequent power management.

[0036] Specifically, after receiving the state of charge data from the battery management module 120, the vehicle controller 110 will synchronously obtain the power consumption of each route and the power distribution information of the vehicle. The vehicle controller 110 can accurately calculate the remaining power of the target mine car based on the state of charge and the power distribution of the vehicle through a specific power calculation model. Finally, the vehicle controller 110 will issue a low power alarm based on the remaining power and the power consumption of each route. For example, when the remaining power is lower than the preset warning value, the feasibility of the mine car continuing to travel on each route under the current power is judged in combination with the power consumption data of each route. If it is found that the power is insufficient to support the mine car to travel along the originally planned route, the low power alarm will be triggered immediately to remind the driver to take timely measures, such as returning to the charging point to charge or adjusting the driving route, so as to avoid the mine car from being unable to operate normally due to exhaustion of power.

[0037] Optionally, the vehicle controller 110 is specifically used to: calculate the product of the state of charge and the vehicle power distribution as the remaining power of the target mine car; when the remaining power is less than a preset power, determine the target route power consumption from the power consumption of each route based on a preset optimal path scheduling algorithm; and determine the power status of the target mine car based on the target route power consumption and the remaining power; when the power is insufficient, generate a low power alarm prompt.

[0038] Among them, SOC is a key parameter that represents the proportion of remaining battery power, and its value range is usually between 0 and 100%, reflecting the actual current power reserve of the battery. The vehicle power distribution refers to the total amount of power distributed from the battery to each on-board system during the operation of the vehicle. For example, the total battery capacity of a mining car is 100 kWh, and the vehicle power distribution is 40 kWh at a certain moment. At this time, the state of charge is 0.6. Then according to the calculation method of the vehicle controller 110, the remaining power = 0.6 × 40 = 24 kWh. Then the vehicle controller 110 will compare the calculated remaining power with the preset power. That is, when the remaining power is relatively low, it will no longer remind you of low power according to a fixed value, but will calculate the round-trip power consumption of the vehicle and whether the power to the charging pile is sufficient when scheduling the optimal route planning path. If it is not enough, an alarm will be issued in advance. The preset power is a power threshold value pre-set based on multiple factors such as the actual operation requirements of the mining car, battery characteristics, and safety standards.

[0039] Further, when the remaining power is less than the preset power, the vehicle controller 110 will determine the target route power consumption from the power consumption of each route based on the preset optimal path scheduling algorithm. The preset optimal path scheduling algorithm usually takes into account multiple factors, such as the distance of different routes, the complexity of road conditions, the expected driving time, and the corresponding power consumption. By quantitatively analyzing and optimizing these factors, the algorithm can select a route from many optional routes that is most likely to allow the mine car to return safely or reach a suitable charging location under the current power condition. The power consumption corresponding to this route is the target route power consumption. The vehicle controller 110 further determines the power status of the target mine car based on the determined target route power consumption and the remaining power. It will compare and analyze the target route power consumption with the remaining power. If it is found that the remaining power is not enough to support the mine car to travel to the destination along the target route, it is determined that the power is insufficient. At this time, the vehicle controller 110 will generate a low power alarm prompt to notify the driver of the current power status of the mine car and remind the driver to take corresponding measures, such as finding a nearby charging facility for charging or adopting other reasonable driving strategies to avoid the vehicle from being unable to continue running due to exhaustion of power.

[0040] In summary, the low-battery alarm mechanism can effectively avoid various problems caused by insufficient power in mine cars, ensure the normal operation of mine cars and the service life of batteries, and improve the safety and efficiency of mining operations.

[0041] Figure 2 A structural schematic diagram of a battery power management system based on intelligent scheduling of mining vehicles is provided for the first embodiment of the present invention. Figure 2 The system also includes: a monitoring host 130 connected to the vehicle controller 110 , and a mining vehicle intelligent dispatching platform 140 connected to the monitoring host 130 .

[0042] Optionally, the system also includes: a monitoring host 130 connected to the vehicle controller 110, and a mine car intelligent dispatching platform 140 connected to the monitoring host 130; the monitoring host 130 is used to obtain the driving route of each vehicle, and determine the target position based on the driving route of each vehicle. When it is determined that the mine car has reached the target position, an arrival prompt information is generated, and the arrival prompt information is sent to the mine car intelligent dispatching platform 140; the mine car intelligent dispatching platform 140 is used to calculate the power consumption of each route according to the arrival prompt information, wherein the route power consumption includes no-load power consumption and full-load power consumption.

[0043] Specifically, the monitoring host 130 (Telematics BOX, TBOX) is connected to the vehicle controller 110 at one end and to the mine car intelligent dispatching platform 140 at the other end. The monitoring host 130 will obtain the driving routes of each vehicle. The vehicle driving routes are planned by the mine car intelligent dispatching platform 140, covering various activity trajectories of the mine car in the mining area, such as the path e1 from the loading point a1 to the unloading point b1, the path f2 from the unloading point b2 to the charging station d, etc. The monitoring host 130 will determine the target location based on the driving routes of each vehicle. The target location can be a key location such as a loading point, an unloading point, a charging station, etc. When the monitoring host 130 determines that the mine car has traveled to the target location, it will generate an arrival prompt information to indicate that the mine car has completed a certain specific journey and arrived at the predetermined location. For example, when the mine car actually arrives at the loading point a3, the positioning system and route matching program inside the monitoring host 130 will confirm this situation, and then immediately generate an arrival prompt information containing detailed information such as the mine car number, arrival time, and arrival location. Afterwards, the monitoring host 130 sends the arrival prompt information to the mine car intelligent dispatching platform 140, so that the dispatching platform can grasp the position dynamics of the mine car in real time.

[0044] Among them, route power consumption includes no-load power consumption and full-load power consumption. No-load power consumption refers to the power consumed by a mine car when it is not loaded with goods and travels a certain route, while full-load power consumption refers to the power consumption when the mine car is fully loaded with goods and travels the same route. For example, the power consumption of a mine car driving from unloading point b1 to charging station d is different from that of a mine car driving from loading point a1 to unloading point b1 when it is fully loaded with goods. The mine car intelligent scheduling platform 140 will accurately calculate the power consumption of each route in no-load and full-load states based on the mine car position change, timestamp and other data contained in the arrival prompt information, combined with the mine car's battery power monitoring data. Through long-term accumulation and analysis of power consumption data, the platform can continuously optimize the vehicle scheduling plan, improve the overall operational efficiency of the mining area, and provide accurate route power consumption information to the vehicle controller 110, so that the vehicle controller 110 can better manage battery power and make low-power alarm decisions.

[0045] Optionally, the mine car intelligent dispatching platform 140 is also used to obtain the actual layout information of the current mining area, and determine the key point positions in the actual layout information, plan the driving routes of each vehicle according to the key point positions, and send the driving routes of each vehicle to the monitoring host 130, wherein the key points include loading points, unloading points and charging stations, and the vehicle driving routes include the path from the loading point to the unloading point, the path from the loading point to the charging station, and the path from the unloading point to the charging station.

[0046] Among them, after obtaining the actual layout information, the mine car intelligent scheduling platform 140 will determine the key point positions. Key points include loading points, unloading points and charging stations. The loading point is where the mine car loads ore and other goods, including a1, a2, a3...an, which determines the starting point of the mine car's cargo journey; the unloading point is the place where the mine car unloads the goods, including b1, b2, b3...bn, which is the end of the cargo journey; the charging station d is a key facility for replenishing the power of the mine car, and its location is crucial to the continued operation of the mine car. After determining the key point position, the mine car intelligent scheduling platform 140 begins to plan the driving routes of each vehicle. The driving route includes the path from the loading point to the unloading point, the path from the loading point to the charging station, and the path from the unloading point to the charging station. For example, when planning the path e1 from the loading point a1 to the unloading point b1, the platform will comprehensively consider many factors, such as the length of the road, the quality of the road conditions, and the traffic flow. If a road is short but has poor road conditions, the vehicle speed is limited and the power consumption is high, the platform may give priority to routes with better road conditions and lower comprehensive power consumption. After completing the planning of each vehicle's route, the mine car intelligent dispatching platform 140 will send the vehicle's route to the monitoring host 130.

[0047] Furthermore, after receiving the driving route information, the monitoring host 130 can monitor the driving process of the mine car in real time. Once the mine car deviates from the planned route, it can issue an alarm in time and take corresponding dispatching measures. At the same time, the monitoring host 130 can also provide the vehicle controller 110 with more accurate driving route power consumption data based on the driving route information and the actual driving conditions of the vehicle, helping the vehicle controller 110 to better manage the battery power, such as predicting in advance whether the vehicle needs to be charged, when to issue a low-power alarm, etc., so as to ensure that the production operations of the entire mining area can be carried out efficiently and stably.

[0048] Optionally, the mining car intelligent dispatching platform 140 is also used to send the power consumption of each route to the monitoring host 130; the monitoring host 130 is used to forward the power consumption of each route to the vehicle controller 110.

[0049] Specifically, the monitoring host 130, as a transfer station for data transmission, will forward the data to the vehicle controller 110 after receiving the power consumption data of each route issued by the mine car intelligent dispatching platform 140. The monitoring host 130 can ensure the smooth transmission of data and avoid data loss or delay. For example, after receiving the power consumption data, the monitoring host 130 will perform a simple verification and sorting of the data, and then send the data to the vehicle controller 110 according to the communication protocol that the vehicle controller 110 can recognize. After the vehicle controller 110 receives the power consumption data of each route, it can combine other information obtained by itself, such as the charge state of the battery, the power distribution of the vehicle, etc., to make more accurate calculations and decisions. For example, the vehicle controller 110 can determine whether the vehicle can successfully complete a certain route based on the power consumption of each route and the current remaining power of the vehicle. If the power is insufficient, a low power alarm will be issued in time to remind the driver to take corresponding measures, such as adjusting the route to the charging station. At the same time, the vehicle controller 110 can also optimize the vehicle's power output strategy according to the power consumption data, improve energy utilization efficiency, and reduce battery loss, thereby ensuring the safe and efficient operation of the mining car.

[0050] Optionally, the mining car intelligent dispatching platform 140 is also used to take each vehicle's driving route as a route to be updated in turn, and determine a specified number of average power consumption values ​​based on the route to be updated, and obtain the historical power consumption corresponding to the route to be updated that was last sent down. When the power consumption value deviation between the average power consumption value and the historical power consumption is greater than a preset threshold, the average power consumption value is used as the updated power consumption corresponding to the route to be updated, and sent down to the monitoring host 130.

[0051] When a route is determined to be a route to be updated, the platform will determine a specified number of power consumption data based on the route and calculate their average value. The specified number is determined according to the rules pre-set by the system, such as the power consumption data of the last 10 times for the route. The platform will collect the power consumption values ​​of the 10 times the mine cart travels on the route and calculate the average power consumption. The average power consumption can more objectively reflect the current power consumption of the route because it comprehensively considers the actual consumption of multiple trips.

[0052] Specifically, after obtaining the average power consumption value, the platform will obtain the historical power consumption corresponding to the route to be updated that was issued last time, and calculate the power consumption value deviation between the average power consumption value and the historical power consumption. The calculation of the deviation can be in the form of the absolute value of the difference. Then, the platform will compare the power consumption value deviation with the preset threshold. The preset threshold is set according to the stability of the system and the actual needs of the mine car operation. For example, it can be set to 5 kWh. If the power consumption value deviation is greater than 5, it means that the current power consumption of the route has changed significantly from before. In order to ensure the accuracy of subsequent mine car scheduling and power management, the platform will use the average power consumption value as the updated power consumption corresponding to the route to be updated. In other words, the previously historical power consumption is replaced by the newly calculated average power consumption value that better reflects the current actual situation. Then, the platform will send the updated power consumption to the monitoring host 130. After receiving the updated power consumption, the monitoring host 130 will forward it to the vehicle controller 110 as before. The vehicle controller 110 can calculate the remaining power of the mine car more accurately based on the latest route power consumption data, combined with information such as the battery's charge state and the vehicle's power distribution, and make more reasonable low-power alarm decisions to ensure the safe and efficient operation of the mine car.

[0053] The technical solution of the embodiment of the present invention integrates multi-dimensional information such as battery charge status, power consumption of each route and vehicle power distribution, providing more comprehensive and accurate data support for intelligent scheduling of mine cars. The vehicle controller issues a low-battery alarm based on the calculated remaining power and power consumption of each route, changing the previous extensive management method of limiting power output simply due to low power, enabling the system to more reasonably plan the operation of the mine car, avoiding unnecessary power restrictions while ensuring battery safety, reducing the impact of speed limits on the attendance efficiency of the mine car, ensuring that the mine car can complete the transportation task more efficiently, and improving the production progress of the entire mining area.

[0054] Embodiment 2

[0055] Figure 3 A structural schematic diagram of a battery power management system based on intelligent scheduling of mining vehicles is provided for the second embodiment of the present invention. Figure 3 On the basis of the first embodiment, an alarm module 150 is added.

[0056] Optionally, the system also includes: an alarm module 150 connected to the vehicle controller 110; the vehicle controller 110, used to calculate the power difference between the remaining power and the power consumption of the target route, when the power difference is less than a preset power difference, determine that the power situation is insufficient, and generate a low power alarm prompt, and send the low power alarm prompt to the alarm module 150; the alarm module 150 is used to use a specified method to alarm according to the low power alarm prompt.

[0057] Among them, the alarm module 150 is used to issue an alarm to the driver or relevant personnel in a specified manner after receiving a specific alarm prompt, so as to remind them to pay attention to the power status of the mine car. After completing the calculation of the remaining power and determining the power consumption of the target route, the vehicle controller 110 will also calculate the power difference between the remaining power and the power consumption of the target route. The remaining power is obtained by multiplying the state of charge and the power distribution of the vehicle, reflecting the actual power currently available in the mine car battery; the target route power consumption is determined from the power consumption of each route based on the preset optimal path scheduling algorithm, representing the power consumption expected to be consumed by the mine car traveling on the target route. The preset power difference is a threshold value pre-set according to the performance, safety standards and actual operation requirements of the mine car. When the power difference is less than the preset power difference, it means that after the mine car completes the target route, the remaining power will be very limited, and may even be unable to meet the subsequent basic operation requirements. At this time, the vehicle controller 110 will determine that the power situation is insufficient. At this time, the vehicle controller 110 will generate a low power alarm prompt. The low battery alarm prompt may include detailed information about the low battery of the mining vehicle, such as the current remaining battery, the power consumption of the target route, the remaining battery expected to arrive at the charging station, etc. Then, the vehicle controller 110 sends the low battery alarm prompt to the alarm module 150.

[0058] Furthermore, after the alarm module 150 receives the low battery alarm prompt sent by the vehicle controller 110, it will alarm in a pre-set designated manner. The designated method can be in various forms to ensure that it can effectively attract the attention of the driver. The designated method may include sound alarms and light alarms. The sound alarm may be a sharp beep, which can be clearly heard by the driver in the noisy environment of the mine car. For example, the alarm module 150 may emit a continuous "beeping" sound, and as the power further decreases, the frequency and volume of the sound may gradually increase to enhance the warning effect. The light alarm reminds the driver by lighting a conspicuous warning light in the cab. The color of the warning light is usually red, which is very easy to attract people's visual attention. For example, a red battery icon will light up on the dashboard and may flash, allowing the driver to detect at a glance that there is a problem with the power of the mine car. Through the timely alarm of the alarm module 150, the driver can be informed of the low battery situation of the mine car at the first time, so as to take corresponding measures, such as adjusting the driving route as soon as possible to go to the charging station for charging, so as to avoid the mine car from being unable to operate normally due to exhaustion of power, thereby ensuring the smooth progress of mining operations and the safety of mine car equipment.

[0059] The technical solution of the embodiment of the present invention calculates the difference between the remaining power and the power consumption of the target route through the vehicle controller. Compared with the traditional alarm method based only on the battery SOC value, it can more accurately evaluate the power situation in combination with the actual driving task of the mine car. It avoids the misjudgment or untimely warning that may be caused by the simple SOC value alarm. When the power difference is less than the preset power difference, the vehicle controller can determine that the power is insufficient and generate a low power alarm prompt, so that the operator can promptly understand the possible risks of executing the target route task with the current power, so as to adjust the operation plan in time, ensure the safe operation of the mine car, and avoid operation interruption caused by exhaustion of power. The use of a variety of alarm methods through the alarm module can better adapt to different operation scenarios and environmental conditions in the mining area.

[0060] Embodiment 3

[0061] Figure 4 The third embodiment of the present invention provides a flow chart of a battery power management method based on intelligent scheduling of mine cars. This embodiment is applicable to the scenario of intelligent scheduling of mine cars. Figure 4 As shown, the method includes:

[0062] S310, obtaining the charge state of the target mining vehicle battery through the battery management module, and sending the charge state to the vehicle controller through the in-vehicle network.

[0063] Among them, the battery management module is mainly responsible for real-time monitoring of the state of charge of the target mine car battery. Specifically, the built-in sensors can be used to measure and analyze the battery's voltage, current, temperature and other parameters. Taking voltage measurement as an example, different battery voltages correspond to different states of charge. Through precise voltage measurement, combined with the battery's characteristic curve and algorithm model, the current state of charge can be accurately calculated. In actual applications, the battery management module monitors the various states of the battery at all times to prevent abnormal conditions such as overcharging and over-discharging of the battery, ensuring the safety and service life of the battery. After calculating the SOC, it uses the in-vehicle network, such as the CAN bus, to send the acquired state of charge to the vehicle controller to provide basic data support for subsequent power management.

[0064] S320, obtaining the state of charge, power consumption of each route and the power distribution of the whole vehicle through the whole vehicle controller, calculating the remaining power of the target mining vehicle according to the state of charge and the power distribution of the whole vehicle, and issuing a low power alarm according to the remaining power and the power consumption of each route.

[0065] Specifically, after receiving the state of charge data from the battery management module, the vehicle controller will synchronously obtain the power consumption of each route and the power distribution information of the vehicle. According to the state of charge and the power distribution of the vehicle, the vehicle controller can accurately calculate the remaining power of the target mine car through a specific power calculation model. Finally, the vehicle controller will issue a low power alarm based on the remaining power and the power consumption of each route. For example, when the remaining power is lower than the preset warning value, combined with the power consumption data of each route, it is judged whether the mine car can continue to travel on each route at the current power. If it is found that the power is insufficient to support the mine car to travel along the original planned route, the low power alarm will be triggered immediately to remind the driver to take timely measures, such as returning to the charging point to charge or adjusting the driving route, so as to avoid the mine car from being unable to operate normally due to exhaustion of power.

[0066] The technical solution of the embodiment of the present invention integrates multi-dimensional information such as battery charge status, power consumption of each route and vehicle power distribution, providing more comprehensive and accurate data support for intelligent scheduling of mine cars. The vehicle controller issues a low-battery alarm based on the calculated remaining power and power consumption of each route, changing the previous extensive management method of limiting power output simply due to low power, enabling the system to more reasonably plan the operation of the mine car, avoiding unnecessary power restrictions while ensuring battery safety, reducing the impact of speed limits on the attendance efficiency of the mine car, ensuring that the mine car can complete the transportation task more efficiently, and improving the production progress of the entire mining area.

[0067] Embodiment 4

[0068] Figure 5A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0069] like Figure 5 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0070] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0071] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a battery power management method based on intelligent scheduling of mining vehicles.

[0072] In some embodiments, a method for managing battery power based on intelligent scheduling of mine carts may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for managing battery power based on intelligent scheduling of mine carts described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute a method for managing battery power based on intelligent scheduling of mine carts in any other appropriate manner (e.g., by means of firmware).

[0073] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0074] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0075] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0076] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0077] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0078] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0079] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0080] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A battery power management system based on intelligent dispatching of mining vehicles, characterized in that: include: A vehicle controller, and a battery management module connected to the vehicle controller; The battery management module is used to obtain the charge state of the target mining vehicle battery and send the charge state to the vehicle controller through the in-vehicle network; The vehicle controller is used to obtain the state of charge, the power consumption of each route and the power distribution of the vehicle, calculate the remaining power of the target mining vehicle according to the state of charge and the power distribution of the vehicle, and issue a low power alarm according to the remaining power and the power consumption of each route; The system further comprises: a monitoring host connected to the vehicle controller, and a mine car intelligent dispatching platform connected to the monitoring host; The monitoring host is used to obtain the driving routes of each vehicle and determine the target location based on the driving routes of each vehicle. When it is determined that the mine car has traveled to the target location, it generates arrival prompt information and sends the arrival prompt information to the mine car intelligent scheduling platform; The mine car intelligent dispatching platform is used to calculate the power consumption of each route according to the arrival prompt information, wherein the route power consumption includes no-load power consumption and full-load power consumption; The mine car intelligent dispatching platform is also used to send the power consumption of each route to the monitoring host; The monitoring host is used to forward the power consumption of each route to the vehicle controller; Among them, the mine car intelligent scheduling platform is also used to take each of the vehicle driving routes as the route to be updated in turn, and determine the average power consumption of a specified number based on the route to be updated, and obtain the historical power consumption corresponding to the route to be updated that was last sent down. When the power consumption value deviation between the average power consumption value and the historical power consumption is greater than a preset threshold, the average power consumption value is used as the updated power consumption corresponding to the route to be updated, and sent to the monitoring host.

2. The system according to claim 1, characterized in that The whole vehicle controller is specifically used to: calculate the product of the charge state and the whole vehicle power distribution as the remaining power of the target mine car; when the remaining power is less than the preset power, determine the target route power consumption from the power consumption of each route based on the preset optimal path scheduling algorithm; and determine the power status of the target mine car based on the target route power consumption and the remaining power; when the power is insufficient, generate a low power alarm prompt.

3. The system according to claim 1, characterized in that The mine car intelligent scheduling platform is also used to obtain the actual layout information of the current mining area, and determine the key point positions in the actual layout information, plan the driving routes of each vehicle according to the key point positions, and send the driving routes of each vehicle to the monitoring host, wherein the key points include loading points, unloading points and charging stations, and the vehicle driving routes include the path from the loading point to the unloading point, the path from the loading point to the charging station, and the path from the unloading point to the charging station.

4. The system according to claim 2, characterized in that The system further comprises: an alarm module connected to the vehicle controller; The vehicle controller is used to calculate the power difference between the remaining power and the power consumption of the target route, and when the power difference is less than a preset power difference, determine that the power situation is insufficient, generate a low power alarm prompt, and send the low power alarm prompt to the alarm module; The alarm module is used to issue an alarm in a specified manner according to the low battery alarm prompt.

5. A battery power management method based on intelligent scheduling of mining vehicles, characterized in that: Applied to a battery power management system based on intelligent scheduling of mining vehicles as described in any one of claims 1 to 4, comprising: Obtaining the state of charge of the target mining vehicle battery through the battery management module, and sending the state of charge to the vehicle controller through the in-vehicle network; The charge state, power consumption of each route and vehicle power distribution are obtained through the vehicle controller, the remaining power of the target mining vehicle is calculated according to the charge state and the vehicle power distribution, and a low power alarm is issued according to the remaining power and the power consumption of each route.

6. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the method described in claim 5.

7. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method described in claim 5 when the instructions are executed.

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