Battery swap scheduling method, system and battery swap station

Abstract

The present invention relates to the field of vehicle scheduling technology, and provides a battery swap scheduling method, system, and battery swap station for battery swap scheduling of vehicles operating in a closed scene, wherein the closed scene includes a fixed battery swap station, wherein the method includes: obtaining the current position and remaining power of each vehicle; based on the current position and remaining power of each vehicle, predicting the predicted remaining power of each vehicle when it arrives at the corresponding unloading point; based on the predicted remaining power, determining whether each vehicle has a battery swap demand; and sending a battery swap reminder to vehicles with a battery swap demand. The present invention is used to solve the defect that the battery swap scheduling of vehicles in a closed operating environment in the prior art still uses a manual judgment method, which is prone to inaccurate grasp of the timing of battery swapping of the vehicle, and implements battery swap reminders and scheduling of vehicles based on the predicted remaining power of the vehicle, effectively ensuring the timeliness of battery swapping of the vehicle.

Description

Technical Field

[0001] The present invention relates to the field of battery swap scheduling technology, and in particular to a battery swap scheduling method, system and battery swap station. Background Art

[0002] As the environmental protection situation becomes increasingly severe, more and more vehicles are turning to battery-powered vehicles. However, although the use of electric vehicles avoids environmental pollution, they require charging or battery replacement.

[0003] Currently, in closed operating environments such as mines, ports, and docks, fixed battery swap stations are typically installed. Transport vehicles traveling between material collection and unloading points can then go to these stations for battery swaps when their battery levels are low. However, there's no rational scheduling method for these closed operating environments, and decisions about when to swap batteries at these stations are often made based on the subjective wishes of operators. This can lead to vehicles running low on battery power during transport due to untimely battery swaps or misjudgments of battery levels, potentially rendering them inoperable and impacting operational efficiency. Summary of the Invention

[0004] The present invention provides a battery swap scheduling method, system and battery swap station, which are used to solve the problem that the battery swap scheduling of vehicles in a closed operating environment in the prior art still adopts a manual judgment method, which easily leads to inaccurate grasp of the timing of vehicle battery swap. It realizes battery swap reminders and scheduling of vehicles based on the predicted remaining power of the vehicle, effectively ensuring the timeliness of vehicle battery swap.

[0005] The present invention provides a battery swap scheduling method for scheduling battery swaps for vehicles operating in a closed scenario, wherein the closed scenario includes a fixed battery swap station, and the method comprises:

[0006] Get the current location and remaining power of each vehicle;

[0007] Based on the current position and remaining power of each vehicle, predict the remaining power of each vehicle when arriving at the corresponding unloading point;

[0008] Based on the predicted remaining power, determining whether each vehicle has a battery replacement requirement;

[0009] Send a battery replacement reminder to vehicles that have the above-mentioned battery replacement needs.

[0010] According to the battery swap scheduling method of the present invention, the predicted remaining power of each vehicle when arriving at the corresponding unloading point based on the current position and remaining power of each vehicle includes:

[0011] Obtaining the distance between each vehicle and the corresponding material collection point as the first distance;

[0012] Based on a relationship between the first distance and a preset first distance threshold, determining whether each vehicle is a first vehicle, the first vehicle being a vehicle located within a preset range of the corresponding sampling point;

[0013] obtaining a loading status of the first vehicle;

[0014] Based on the remaining power and the loading status of the first vehicle, a predicted remaining power of the first vehicle when arriving at the corresponding unloading point is predicted.

[0015] According to the battery swap scheduling method of the present invention, the predicting of the remaining power of each vehicle when arriving at the corresponding unloading point based on the current position and remaining power of each vehicle further includes:

[0016] Obtaining the distance of each vehicle to the unloading point as the second distance;

[0017] Determining whether each vehicle is a second vehicle based on a relationship between the second distance and a preset second distance threshold, the second vehicle being a vehicle located within a preset range of the corresponding unloading point;

[0018] obtaining a loading status of the second vehicle;

[0019] Based on the remaining power and loading status of the second vehicle, a predicted remaining power of the second vehicle when arriving at the corresponding unloading point is predicted.

[0020] According to the battery swap scheduling method of the present invention, before sending the battery swap reminder to the vehicle having the battery swap demand, the method further includes:

[0021] Obtaining the number of replaceable batteries in the battery swap station;

[0022] Determining whether the number of replaceable batteries is greater than or equal to the number of vehicles requiring battery replacement;

[0023] If so, sending the battery replacement reminder to the vehicle that has the battery replacement demand;

[0024] If not, the battery replacement reminder is sent to the vehicles that meet the priority conditions and have the battery replacement demand.

[0025] The battery swap scheduling method according to the present invention further includes:

[0026] Constructing a priority sequence including each of the vehicles based on the predicted remaining power;

[0027] The sending the battery replacement reminder to the vehicle that meets the priority condition and has the battery replacement demand includes:

[0028] Based on the priority of the vehicle with the battery replacement demand in the priority sequence, determine the vehicle with the battery replacement demand that matches the number of the replaceable batteries as the vehicle to be reminded that meets the priority condition;

[0029] Send the battery replacement reminder to the vehicle to be reminded.

[0030] According to the battery swap scheduling method of the present invention, the step of constructing a priority sequence including each vehicle based on the predicted remaining power includes:

[0031] When the predicted remaining power of each vehicle is different, constructing a priority sequence including each vehicle in order of the predicted remaining power from least to greatest;

[0032] When there are vehicles with the same predicted remaining power among the vehicles, a priority sequence including the vehicles is constructed in descending order of power consumption per unit time of the vehicles with the same predicted remaining power.

[0033] The battery swap scheduling method according to the present invention further includes:

[0034] Based on the predicted remaining power, predict the remaining power of the third vehicle from the corresponding unloading point to the corresponding material collection point and then to the corresponding unloading point again; the third vehicle is the other vehicles except the vehicle with the battery replacement requirement;

[0035] Based on the remaining power of the third vehicle when it arrives at the corresponding unloading point again, a fourth vehicle is selected from the third vehicle; the fourth vehicle is a vehicle that has the battery replacement requirement after arriving at the corresponding unloading point again;

[0036] Based on the arrival time of the fourth vehicle arriving at the corresponding unloading point again and the number of replaceable batteries at the arrival time, determine whether to send the battery replacement reminder to the fourth vehicle.

[0037] According to the battery swap scheduling method of the present invention, before determining whether to send the battery swap reminder to the fourth vehicle based on the arrival time of the fourth vehicle arriving at the corresponding unloading point again and the number of replaceable batteries at the arrival time, the method includes:

[0038] Predicting, based on the current position and remaining power of the fourth vehicle, the arrival time of the fourth vehicle at the corresponding unloading point again;

[0039] Predicting the number of replaceable batteries at the arrival time based on the charging status of vehicles with charging requirements during each preset time period from the current time to the arrival time;

[0040] When the number of the replaceable batteries is less than the number of the fourth vehicle at the arrival time, the battery replacement reminder is sent to the fourth vehicle.

[0041] The present invention also provides a battery swap scheduling system for scheduling battery swaps for vehicles operating in a closed scenario, wherein the closed scenario includes a fixed battery swap station, including:

[0042] The acquisition module is used to obtain the current location and remaining power of each vehicle;

[0043] A prediction module, configured to predict the remaining power of each vehicle when it arrives at the corresponding unloading point based on the current position and remaining power of each vehicle;

[0044] a judgment module, configured to judge whether each vehicle has a battery replacement requirement based on the predicted remaining power;

[0045] The reminder module is used to send a battery replacement reminder to vehicles that have the battery replacement demand.

[0046] The battery swap scheduling system according to the present invention further includes:

[0047] A storage module, used to store the configuration information of each vehicle;

[0048] The configuration information includes: the location of the material collection point, the location of the material unloading point, the vehicle loading time, the single empty time, the single empty mileage, the single empty power consumption, the single full load time, the single full load mileage, and the single full load power consumption.

[0049] The battery swap scheduling system according to the present invention further includes:

[0050] A display module, configured to display status information of each vehicle in order of priority of each vehicle;

[0051] The status information includes at least: current location, license plate number, remaining power, predicted remaining power, battery replacement reminder information, and priority.

[0052] The present invention also provides a battery swap station for use in a closed scenario, wherein the battery swap station includes any of the battery swap scheduling systems described above.

[0053] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the battery swap scheduling method as described above is implemented.

[0054] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the battery swap scheduling method as described in any one of the above is implemented.

[0055] The present invention provides a battery swap scheduling method, system, and battery swap station. By obtaining the current position and remaining power of each vehicle operating in a closed scene, the system then predicts the predicted remaining power of each vehicle when it arrives at the corresponding unloading point based on the current position and remaining power of each vehicle, and finally sends a battery swap reminder to the vehicle that has a battery swap demand determined based on the predicted remaining power. Based on the predicted remaining power of each vehicle after arriving at the corresponding unloading point, it is judged whether each vehicle has a battery swap demand. This not only fully considers the problem that vehicles need to be in an unloaded state in closed scenes to swap batteries, but also improves the accuracy of judging the timing of battery swapping for vehicles, thereby avoiding the untimely battery swap operation that is easily caused by manual pre-judgment, and ensuring the operating efficiency in closed scenes, that is, achieving optimal vehicle operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0057] Figure 1 This is a flow chart of a battery swap scheduling method provided by the present invention;

[0058] Figure 2 This is a flow chart of automatically dispatching vehicles in a closed scenario by combining the battery swap scheduling method provided by the present invention with a prompt interface;

[0059] Figure 3 This is a structural diagram of a battery swap scheduling system provided by the present invention;

[0060] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0061] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0062] It should be noted that closed scenarios refer to closed operating environments such as mines, ports, and docks. These scenarios are equipped with one or more fixed battery swap stations, where vehicles travel back and forth between pre-defined material collection and unloading points to transport materials. It is understood that battery swap stations are generally located between collection and unloading points, and that vehicles can only swap batteries when unloaded.

[0063] The following combination Figure 1 and Figure 2 A battery swap scheduling method of the present invention is described, which is executed based on a cloud controller and / or the software or hardware therein, such as Figure 1 As shown, the battery swap scheduling method according to an embodiment of the present invention is used for battery swap scheduling of vehicles operating in a closed scene, wherein the closed scene includes a fixed battery swap station, and the method includes the following steps:

[0064] 101. Get the current location and remaining power of each vehicle;

[0065] It can be understood that the current position and remaining power of the vehicle are the status parameters of the vehicle at the current moment. In order to base on the current position and remaining power of the vehicle, it is also necessary to know the vehicle configuration information such as the location of the material collection point, the location of the unloading point, and the vehicle power consumption. Therefore, in the battery swap scheduling method described in the embodiment of the present invention, the cloud controller used to execute the battery swap scheduling method should store the configuration information of each vehicle, and in order to ensure the accuracy of the configuration information, the configuration information should be set to be updated in real time or periodically.

[0066] 102. Based on the current position and remaining power of each vehicle, predict the remaining power of each vehicle when arriving at the corresponding unloading point;

[0067] Specifically, in a closed scenario, the vehicle travels back and forth between the material collection point and the unloading point along a predetermined path. After obtaining the current position of the vehicle, the distance between the vehicle and the corresponding unloading point can be known. Then, based on the power consumption per unit length of the vehicle and the remaining power of the vehicle, the power required for the vehicle to travel from the current position to the unloading point can be predicted, and the predicted remaining power of the vehicle when it arrives at the corresponding unloading point can be obtained.

[0068] Furthermore, the power consumption of a vehicle when fully loaded is obviously greater than that when unloaded. Therefore, in order to improve the accuracy of the predicted remaining power, the loading status of the vehicle can be further obtained to predict the remaining power of the vehicle when it arrives at the unloading point under the corresponding loading status.

[0069] 103. Based on the predicted remaining power, determine whether each vehicle needs to replace its battery;

[0070] 104. Send a battery replacement reminder to the vehicle that has the battery replacement requirement.

[0071] Specifically, after knowing the predicted remaining power of the vehicle when it arrives at the unloading point, based on the amount of power required for the vehicle to travel back and forth from the material collection point to the unloading point, it can be determined whether the vehicle's current predicted remaining power can still support its round trip between the material collection point and the unloading point. When the predicted remaining power is not enough to support the vehicle to travel back and forth between the material collection point and the unloading point one more time, it means that the vehicle needs to be replaced with a battery, that is, determine whether there is a need for battery replacement for each vehicle.

[0072] More specifically, by sending battery replacement reminders to vehicles that need battery replacement, drivers can be reminded in time to go to the battery replacement station to replace the battery, thereby avoiding the phenomenon of vehicles stopping during transportation due to insufficient power, and thus ensuring operational efficiency in closed scenarios.

[0073] It is understandable that battery swap stations are generally set up between material collection points and unloading points. When a vehicle has passed the battery swap station and is close to the material collection point, if the vehicle needs to turn back because of battery swap, it will cause a great waste of electricity. A more reasonable way should be to determine whether the vehicle that has passed the battery swap station and is heading to the material collection point needs to swap batteries after arriving at the material collection point for loading and returning to the unloading point, so as to effectively avoid waste of electricity.

[0074] Based on this, in one embodiment of the present invention, the predicted remaining power of each vehicle when arriving at the corresponding unloading point based on the current position and remaining power of each vehicle includes:

[0075] Obtaining the distance between each vehicle and the corresponding material collection point as the first distance;

[0076] Based on a relationship between the first distance and a preset first distance threshold, determining whether each vehicle is a first vehicle, the first vehicle being a vehicle located within a preset range of the corresponding sampling point;

[0077] obtaining a loading status of the first vehicle;

[0078] Based on the remaining power and the loading status of the first vehicle, a predicted remaining power of the first vehicle when arriving at the corresponding unloading point is predicted.

[0079] Specifically, by reasonably setting the first distance threshold, vehicles within a preset range of the material collection point, that is, near the sampling point, can be screened out from each vehicle. Then, based on the loading status of vehicles near the material collection point, it can be determined whether the vehicle is going to the material collection point to load materials, or has already loaded and is preparing to go to the material collection point. Then, combined with the vehicle's loading time, no-load power consumption, and full-load power consumption, based on the vehicle's current position and remaining power, the predicted remaining power of the vehicle when it arrives at the corresponding unloading point can be predicted. This avoids the waste of power caused by the vehicle having to return to the battery swap station empty after arriving near the material collection point for battery swapping.

[0080] As an embodiment of the present invention, the predicting the predicted remaining power of each vehicle when it arrives at the corresponding unloading point based on the current position and remaining power of each vehicle further includes:

[0081] Obtaining the distance of each vehicle to the unloading point as the second distance;

[0082] Determining whether each vehicle is a second vehicle based on a relationship between the second distance and a preset second distance threshold, the second vehicle being a vehicle located within a preset range of the corresponding unloading point;

[0083] obtaining a loading status of the second vehicle;

[0084] Based on the remaining power and loading status of the second vehicle, a predicted remaining power of the second vehicle when arriving at the corresponding unloading point is predicted.

[0085] Specifically, by properly setting the second distance threshold, vehicles within a preset range of the unloading point, i.e., near the unloading point, can be screened from each vehicle. Based on the loading status of vehicles near the unloading point, it can be determined whether the vehicle has already unloaded or is preparing to unload. Then, combined with the vehicle's loading duration, no-load power consumption, and fully loaded power consumption, the vehicle's current location and remaining power can be used to predict the vehicle's remaining power upon arrival at the unloading point. This improves the accuracy of the predicted remaining power prediction for vehicles near the unloading point.

[0086] More specifically, by only predicting the remaining power of vehicles near the collection point and the unloading point after arriving at the corresponding unloading point, the trouble of predicting all vehicles in the closed scene is avoided, effectively reducing the data processing volume and improving processing efficiency.

[0087] Furthermore, the battery swap scheduling method described in the embodiment of the present invention preferably obtains the current position and remaining power of each vehicle in a preset period, for example: 5 seconds, 8 seconds, 10 seconds, etc., and then determines the vehicles with battery swap needs based on the predicted remaining power at the corresponding unloading point obtained by predicting the current position and remaining power. By setting a shorter time period, it is achieved to ensure that the remaining power and current position of all vehicles in the closed scene are accurately predicted, and to avoid the phenomenon that vehicles that are neither near the collection point nor near the unloading point are unable to operate due to insufficient power.

[0088] As an embodiment of the present invention, before sending the battery replacement reminder to the vehicle having the battery replacement demand, the method further includes:

[0089] Obtaining the number of replaceable batteries in the battery swap station;

[0090] Determining whether the number of replaceable batteries is greater than or equal to the number of vehicles requiring battery replacement;

[0091] If so, sending the battery replacement reminder to the vehicle that has the battery replacement demand;

[0092] If not, the battery replacement reminder is sent to the vehicles that meet the priority conditions and have the battery replacement demand.

[0093] Specifically, although the battery swap station is equipped with a large number of station backup batteries, as vehicles continuously swap batteries and the time required to charge the station backup batteries, the number of swappable batteries available for battery swap at the current moment may not necessarily be able to meet the needs of all vehicles that need battery swaps. Therefore, after predicting that a vehicle has a need for battery swaps, the battery swap station selectively reminds the vehicle to swap batteries based on the battery status in the battery swap station and the priority of the vehicle that needs battery swaps. This not only improves the battery utilization rate, but also avoids congestion of vehicles in the battery swap station.

[0094] More specifically, the number of swappable batteries in the battery swap station can be counted in segments based on battery power and time period. For example, the number of batteries with a power level greater than or equal to 95%, the number of batteries with a power level greater than or equal to 80% and less than 95%, and the number of batteries with a power level less than 80%, can be categorized into three battery levels and counted in each time period.

[0095] Furthermore, the priority of vehicles that need battery replacement can be arranged based on the predicted remaining power of the vehicle after arriving at the corresponding unloading point, that is, the vehicle with less predicted remaining power has a higher priority, thereby ensuring that vehicles with less remaining power can replace batteries.

[0096] As an embodiment of the present invention, the battery swap scheduling method further includes:

[0097] Constructing a priority sequence including each of the vehicles based on the predicted remaining power;

[0098] The sending the battery replacement reminder to the vehicle that meets the priority condition and has the battery replacement demand includes:

[0099] Based on the priority of the vehicle with the battery replacement demand in the priority sequence, determine the vehicle with the battery replacement demand that matches the number of the replaceable batteries as the vehicle to be reminded that meets the priority condition;

[0100] Send the battery replacement reminder to the vehicle to be reminded.

[0101] Specifically, vehicles with less predicted remaining battery life are more likely to require a timely battery swap to ensure normal operation. By establishing a priority sequence for each vehicle based on the predicted remaining battery life, each vehicle can be sorted within the priority sequence according to the urgency of its battery swap needs, facilitating the scheduling of battery swap reminders based on the urgency of the need.

[0102] More specifically, battery replacement reminders are sent to vehicles that match the number of replaceable batteries, avoiding vehicle congestion at battery replacement stations.

[0103] Furthermore, after issuing battery replacement reminders to vehicles that meet the priority conditions, further tracking can be performed on vehicles that have received battery replacement reminders. That is, for vehicles that have received battery replacement reminders but have not gone to the battery replacement station for battery replacement, their priority will be automatically rearranged, and then battery replacement reminders will be sent to the next vehicle in the priority sequence, thereby ultimately achieving smooth operation between the battery replacement station and vehicles in the closed scene, and improving the utilization rate of batteries and vehicles.

[0104] As an embodiment of the present invention, the step of constructing a priority sequence including each vehicle based on the predicted remaining power includes:

[0105] When the predicted remaining power of each vehicle is different, constructing a priority sequence including each vehicle in order of the predicted remaining power from least to greatest;

[0106] When there are vehicles with the same predicted remaining power among the vehicles, a priority sequence including the vehicles is constructed in descending order of power consumption per unit time of the vehicles with the same predicted remaining power.

[0107] Specifically, the predicted remaining power of each vehicle can reflect the remaining power of each vehicle when it arrives at the corresponding unloading point, and then be used to determine whether the vehicle will continue to go to the corresponding material collection point after arriving at the unloading point, or go to the battery swap station to swap batteries. Therefore, based on the predicted remaining power of each vehicle, a priority sequence of each vehicle is constructed from small to large, which matches the degree of battery swapping demand of the vehicle.

[0108] Furthermore, because there are a large number of vehicles in the closed scene, there are likely to be vehicles with the same predicted remaining power. However, the vehicle that consumes more power per unit time consumes power faster during transportation. Therefore, for vehicles with the same predicted remaining power, the priority order is determined based on the order of most to least power consumption per unit time, which can also match the degree of battery replacement demand of the vehicle.

[0109] As an embodiment of the present invention, the battery swap scheduling method further includes:

[0110] Based on the predicted remaining power, predict the remaining power of the third vehicle from the corresponding unloading point to the corresponding material collection point and then to the corresponding unloading point again; the third vehicle is the other vehicles except the vehicle with the battery replacement requirement;

[0111] Based on the remaining power of the third vehicle when it arrives at the corresponding unloading point again, a fourth vehicle is selected from the third vehicle; the fourth vehicle is a vehicle that has the battery replacement requirement after arriving at the corresponding unloading point again;

[0112] Based on the arrival time of the fourth vehicle arriving at the corresponding unloading point again and the number of replaceable batteries at the arrival time, determine whether to send the battery replacement reminder to the fourth vehicle.

[0113] Specifically, based on the battery swap scheduling method described in an embodiment of the present invention, the vehicle determined to have a battery swap demand is a vehicle that, based on the current remaining power, is predicted to have insufficient remaining power to carry out another material transport after arriving at the corresponding unloading point. However, for the vehicle that can still carry out another material transport after arriving at the unloading point, that is, the third vehicle, it is likely that a battery swap will be required after another material transport. It is understandable that for the vehicle that needs a battery swap after another material transport, that is, the fourth vehicle, on the one hand, if there are no available swappable batteries at the time of its arrival, then after the arrival time, the fourth vehicle cannot carry out material transport and will need to wait for a battery swap at the swap station. On the other hand, if there are swappable batteries at the swap station that can be used to swap the fourth vehicle's battery before the fourth vehicle carries out another material transport, then rather than waiting for a battery swap at the swap station after the fourth vehicle carries out another material transport, it is more conducive to improving the utilization rate of the battery and vehicle and avoiding congestion at the swap station caused by the fourth vehicle queuing.

[0114] More specifically, in the battery swap scheduling method described in an embodiment of the present invention, for the fourth vehicle, when the number of swappable batteries is insufficient at the arrival time, a battery swap reminder is sent to the fourth vehicle before the fourth vehicle performs another material transportation; and when the number of swappable batteries is sufficient, a battery swap reminder is sent to the fourth vehicle after the fourth vehicle performs another material transportation.

[0115] As an embodiment of the present invention, the determining whether to send the battery replacement reminder to the fourth vehicle based on the arrival time of the fourth vehicle arriving at the corresponding unloading point again and the number of replaceable batteries at the arrival time includes:

[0116] Predicting, based on the current position and remaining power of the fourth vehicle, the arrival time of the fourth vehicle at the corresponding unloading point again;

[0117] Predicting the number of replaceable batteries at the arrival time based on the charging status of vehicles with charging requirements during each preset time period from the current time to the arrival time;

[0118] When the number of the replaceable batteries is less than the number of the fourth vehicle at the arrival time, the battery replacement reminder is sent to the fourth vehicle.

[0119] Specifically, by taking the preset time period as a unit and based on the charging status of vehicles with charging needs before the current preset time period, the number of replaceable batteries in each subsequent preset time period can be predicted. Then, when the fourth vehicle arrives, when the predicted number of replaceable batteries is less than the number of the fourth vehicle, a battery replacement reminder is sent to the fourth vehicle at the current moment, thereby avoiding the fourth vehicle having to replace the battery when it arrives, and avoiding congestion in the battery swap station due to insufficient number of replaceable batteries at the battery swap station.

[0120] More specifically, it can be understood that the premise of sending a battery replacement reminder to the fourth vehicle at the current moment includes not only the prediction of insufficient number of rechargeable batteries at the arrival time, but also the fact that at the current moment, there are still idle rechargeable batteries after the rechargeable batteries meet the needs of vehicles with charging needs, thereby avoiding congestion at the battery replacement station caused by insufficient number of replaceable batteries at the current moment.

[0121] The battery swap scheduling method described in the above embodiment of the present invention first obtains the current position (for example: longitude and latitude) and remaining power of each vehicle, and then, based on the current position and remaining power, combines the pre-stored configuration information of each vehicle such as the material collection point position, unloading point position, full-load power consumption, no-load power consumption, vehicle loading time, single no-load mileage, single full-load mileage, etc. of each vehicle to predict the predicted remaining power of each vehicle when it arrives at the corresponding unloading point, and then judges whether each vehicle has a battery swap demand based on the predicted remaining power, and whether the vehicle that currently has no battery swap demand has a battery swap demand after another material transportation. The demand for battery replacement is finally combined with the number of replaceable batteries in the battery replacement station and the priority of each vehicle, and a battery replacement reminder is sent to the vehicles with battery replacement needs, so as to realize the transmission data from the vehicle to the cloud and then to the station control, as well as the data feedback capability from the station control to the cloud and then to the vehicle side, so as to realize automatic push of vehicle operation and battery replacement process, and arrange priority echelons for some vehicles with the same push (such as need for battery replacement or not), and automatically arrange the priority of vehicles that receive push but do not execute it, so that the overall battery replacement station and battery replacement operation vehicles can achieve smooth operation and high utilization rate.

[0122] Furthermore, based on the battery swap scheduling method described in the above embodiment of the present invention, a battery swap scheduling prompt interface can be set, and on the prompt interface, each vehicle can be displayed in a list as shown in Table 1 according to the priority order of vehicles with battery swap requirements, which can specifically include the priority of each vehicle, the location point, license plate number, current power, expected power to arrive at the unloading point, expected number of trips, expected time to arrive at the unloading point, expected time to arrive at the unloading point again, whether to issue a battery swap reminder, and the content of the battery swap reminder, etc., wherein, considering that the vehicle route may be changed, the expected number of trips is uniformly displayed as 1 when it is greater than or equal to one. This allows the user to intuitively understand the situation of each vehicle based on the prompt interface, which is conducive to manual adjustment of the scheduling of each vehicle using the battery swap scheduling method described in the embodiment of the present invention.

[0123] Table 1 List of vehicle conditions

[0124]

[0125]

[0126] Specifically, the battery swap scheduling method described in the above embodiment of the present invention is combined with the prompt interface to automatically dispatch vehicles in closed operating environments such as mines, ports, and docks, mainly including the following: Figure 2 The following steps are shown:

[0127] 201. Scheduling begins;

[0128] 202. Loading configuration information of each vehicle;

[0129] 203. Obtain the current position and remaining power of each vehicle;

[0130] 204. Determine whether each vehicle is the first vehicle within the preset range of the material collection point; if so, proceed to step 205; if not, proceed to step 207;

[0131] 205. Predicting the time when the first vehicle arrives at the corresponding unloading point and predicting the remaining power;

[0132] 206. Update the list on the prompt interface based on the predicted remaining power of the first vehicle and the time of arrival at the corresponding unloading point;

[0133] 207. Determine whether each vehicle is the second vehicle within the preset range of the unloading point; if so, proceed to step 208; if not, proceed to step 214;

[0134] 208. Predicting the time when the second vehicle arrives at the corresponding unloading point and predicting the remaining power;

[0135] 209. Update the list on the prompt interface based on the predicted remaining power of the second vehicle and the time of arrival at the corresponding unloading point;

[0136] 210. Based on the information of each vehicle in the list, determine whether each vehicle needs to be replaced; if so, proceed to step 211; if not, proceed to step 214;

[0137] 211. Determine whether the number of rechargeable batteries is sufficient; if so, proceed to step 212; if not, proceed to step 213;

[0138] 212. Issue a battery replacement reminder;

[0139] 213. Determine whether the vehicle with charging demand meets the priority condition; if so, return to step 212; if not, proceed to step 214;

[0140] 214. End scheduling.

[0141] More specifically, based on Table 1, we can obtain the information shown in Table 2, which includes the license plate number of each vehicle, the time when each vehicle arrives at the corresponding unloading point again, the current power of each vehicle, and the predicted remaining power when it arrives at the unloading point for the first time. Then, based on the analysis of the data shown in Table 2, we can obtain the number of replaceable batteries within each preset time period, taking every 20 minutes as an example in Table 2, as shown in Table 3, so as to selectively send battery replacement reminders to vehicles based on the number of replaceable batteries within each preset time period.

[0142] Table 2 Analysis of the number of replaceable batteries

[0143]

[0144] Table 3 Number of replaceable batteries within each preset time period

[0145]

[0146] The following describes a battery swap scheduling system provided by the present invention. The battery swap scheduling system described below and the battery swap scheduling method described above can be referenced to each other.

[0147] The present invention provides a battery swap scheduling system such as Figure 3 As shown, the battery swap scheduling for vehicles operating in a closed scene, wherein the closed scene includes a fixed battery swap station, includes: an acquisition module 310, a prediction module 320, a judgment module 330 and a reminder module 340; wherein,

[0148] The acquisition module 310 is used to obtain the current position and remaining power of each vehicle;

[0149] The prediction module 320 is used to predict the remaining power of each vehicle when it arrives at the corresponding unloading point based on the current position and remaining power of each vehicle;

[0150] The judgment module 330 is used to judge whether each vehicle needs to replace the battery based on the predicted remaining power;

[0151] The reminder module 340 is used to send a battery replacement reminder to the vehicle that has the battery replacement demand.

[0152] The battery swap scheduling system described in the embodiment of the present invention obtains the current position and remaining power of each vehicle operating in a closed scene, and then predicts the predicted remaining power of each vehicle when it arrives at the corresponding unloading point based on the current position and remaining power of each vehicle, and finally sends a battery swap reminder to the vehicle that has a battery swap demand determined based on the predicted remaining power. Based on the predicted remaining power of each vehicle after arriving at the corresponding unloading point, it is judged whether each vehicle has a battery swap demand. This not only fully considers the problem that vehicles need to be in an unloaded state to swap batteries in closed scenes, but also improves the accuracy of judging the timing of vehicle battery swaps, thereby avoiding the untimely battery swap operation that is easily caused by manual prediction, and ensuring the operating efficiency in closed scenes.

[0153] As an embodiment of the present invention, the battery swap scheduling system further includes:

[0154] A storage module, used to store the configuration information of each vehicle;

[0155] The configuration information includes: the location of the material collection point, the location of the material unloading point, the vehicle loading time, the single empty time, the single empty mileage, the single empty power consumption, the single full load time, the single full load mileage, and the single full load power consumption.

[0156] Specifically, the prediction module predicts the remaining power of each vehicle when it arrives at the corresponding unloading point based on the information of each vehicle acquired by the acquisition module and the storage module.

[0157] As an embodiment of the present invention, the battery swap scheduling system further includes:

[0158] A display module, configured to display status information of each vehicle in order of priority of each vehicle;

[0159] The status information includes at least: current location, license plate number, remaining power, predicted remaining power, battery replacement reminder information, and priority.

[0160] Specifically, through the setting of the display module, the user can intuitively understand the information of each vehicle. At the same time, the display module is preferably a human-computer interaction interface, which facilitates manual adjustment and control of the scheduling of the battery swap scheduling system.

[0161] Preferably, the acquisition module is also used to obtain the distance between each vehicle and the corresponding material collection point as the first distance, and to obtain the loading status of the first vehicle; the judgment module is also used to judge whether each vehicle is the first vehicle based on the relationship between the first distance and the preset first distance threshold, and the first vehicle is a vehicle located within the preset range of the corresponding sampling point; the prediction module is also used to predict the predicted remaining power of the first vehicle when it arrives at the corresponding unloading point based on the remaining power and loading status of the first vehicle.

[0162] Preferably, the acquisition module is also used to obtain the distance between each vehicle and the corresponding unloading point as the second distance, and to obtain the loading status of the second vehicle; the judgment module is also used to judge whether each vehicle is a second vehicle based on the relationship between the second distance and a preset second distance threshold, and the second vehicle is a vehicle located within the preset range of the corresponding unloading point; the prediction module is also used to predict the predicted remaining power of the second vehicle when it arrives at the corresponding unloading point based on the remaining power and loading status of the second vehicle.

[0163] Furthermore, the acquisition module is also used to obtain the number of replaceable batteries in the battery swap station; the judgment module is also used to judge whether the number of replaceable batteries is greater than or equal to the number of vehicles with the battery swap demand; and when the number is greater than or equal to the number of vehicles with the battery swap demand, the battery swap reminder is sent to the vehicles with the battery swap demand; and when the number is less than the number of vehicles with the battery swap demand, the battery swap reminder is sent to the vehicles with the battery swap demand that meet the priority conditions.

[0164] Preferably, the battery swap scheduling system further includes: a building module;

[0165] The building module is used to build a priority sequence including each vehicle based on the predicted remaining power;

[0166] The judgment module is also used to determine the vehicles with the battery replacement demand that match the number of replaceable batteries based on the priority of the vehicles with the battery replacement demand in the priority sequence, as the vehicles to be reminded that meet the priority conditions; the reminder module is also used to send the battery replacement reminder to the vehicles to be reminded.

[0167] It is further preferred that, when the predicted remaining power of each vehicle is different, the construction module constructs a priority sequence including the vehicles in order of the predicted remaining power from small to large; when there are vehicles with the same predicted remaining power among the vehicles, the priority sequence including the vehicles is constructed in order of the power consumption per unit time of the vehicles with the same predicted remaining power from large to small.

[0168] It is further preferred that the prediction module is also used to predict the remaining power of the third vehicle when it passes through the corresponding unloading point and the corresponding material collection point and arrives at the corresponding unloading point again based on the predicted remaining power; the third vehicle is the other vehicles except the vehicle with the battery replacement demand; the judgment module is also used to screen out the fourth vehicle from the third vehicles based on the remaining power of the third vehicle when it arrives at the corresponding unloading point again; the fourth vehicle is the vehicle that has the battery replacement demand after arriving at the corresponding unloading point again; and based on the arrival time of the fourth vehicle when it arrives at the corresponding unloading point again, and the number of the replaceable batteries at the arrival time, determine whether to send the battery replacement reminder to the fourth vehicle.

[0169] In addition, the prediction module is also used to predict the arrival time of the fourth vehicle at the corresponding unloading point again based on the current position and remaining power of the fourth vehicle; based on the charging status of the vehicles with charging needs in each preset time period from the current time to the arrival time, predict the number of replaceable batteries at the arrival time; the judgment module is also used to enable the reminder module to send the battery replacement reminder to the fourth vehicle when the number of replaceable batteries at the arrival time is less than the number of the fourth vehicle.

[0170] The present invention also provides a battery swap station for use in a closed scenario, wherein the battery swap station includes any of the battery swap scheduling systems described above.

[0171] It can be understood that the battery swap station including any of the battery swap scheduling systems described above and used in a closed scenario has all the advantages and technical effects of the battery swap scheduling system, which will not be repeated here.

[0172] Figure 4 An example of a physical structure diagram of an electronic device is shown below. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 can call the logic instructions in the memory 430 to execute a battery swap scheduling method for battery swap scheduling of vehicles operating in a closed scene, wherein the closed scene includes a fixed battery swap station, and the method includes: obtaining the current position and remaining power of each vehicle; based on the current position and remaining power of each vehicle, predicting the predicted remaining power of each vehicle when it arrives at the corresponding unloading point; based on the predicted remaining power, determining whether each vehicle has a battery swap demand; and sending a battery swap reminder to the vehicle with the battery swap demand.

[0173] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0174] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by the computer, the computer can execute a battery replacement scheduling method provided by the above methods, which is used for battery replacement scheduling of vehicles operating in a closed scene, and the closed scene includes a fixed battery replacement station. The method includes: obtaining the current position and remaining power of each vehicle; based on the current position and remaining power of each vehicle, predicting the predicted remaining power of each vehicle when it arrives at the corresponding unloading point; based on the predicted remaining power, judging whether each vehicle has a battery replacement demand; and sending a battery replacement reminder to the vehicle with the battery replacement demand.

[0175] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a battery swap scheduling method for battery swap scheduling of vehicles operating in a closed scene, wherein the closed scene includes a fixed battery swap station, and the method includes: obtaining the current position and remaining power of each vehicle; based on the current position and remaining power of each vehicle, predicting the predicted remaining power of each vehicle when it arrives at the corresponding unloading point; based on the predicted remaining power, determining whether each vehicle has a battery swap demand; and sending a battery swap reminder to the vehicle with the battery swap demand.

[0176] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0177] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0178] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A battery swap scheduling method, characterized in that: For scheduling battery swaps for vehicles operating in a closed scenario, wherein the closed scenario includes a fixed battery swap station, the method comprising: Get the current location and remaining power of each vehicle; Based on the current position and remaining power of each vehicle, predict the remaining power of each vehicle when arriving at the corresponding unloading point; Based on the predicted remaining power, determining whether each vehicle has a battery replacement requirement; Sending battery replacement reminders to vehicles with the aforementioned battery replacement needs; Also includes: Based on the predicted remaining power, predict the remaining power of a third vehicle from the corresponding unloading point to the corresponding material collection point and then to the corresponding unloading point again; the third vehicle is the other vehicles except the vehicle with the battery replacement requirement; Based on the remaining power of the third vehicle when it arrives at the corresponding unloading point again, a fourth vehicle is selected from the third vehicle; the fourth vehicle is a vehicle that has the battery replacement requirement after arriving at the corresponding unloading point again; Based on the arrival time of the fourth vehicle arriving at the corresponding unloading point again and the number of replaceable batteries at the arrival time, it is determined whether to send the battery replacement reminder to the fourth vehicle.

2. The battery swap scheduling method according to claim 1, characterized in that: The predicting of the remaining power of each vehicle when arriving at the corresponding unloading point based on the current position and remaining power of each vehicle includes: Obtaining the distance between each vehicle and the corresponding material collection point as the first distance; Based on the relationship between the first distance and a preset first distance threshold, determining whether each vehicle is a first vehicle, the first vehicle being a vehicle located within a preset range of the corresponding material collection point; obtaining a loading status of the first vehicle; Based on the remaining power and the loading status of the first vehicle, a predicted remaining power of the first vehicle when arriving at the corresponding unloading point is predicted.

3. The battery swap scheduling method according to claim 2, characterized in that: The method of predicting the remaining power of each vehicle when it arrives at the corresponding unloading point based on the current position and remaining power of each vehicle further includes: Obtaining the distance of each vehicle to the unloading point as the second distance; Determining whether each vehicle is a second vehicle based on a relationship between the second distance and a preset second distance threshold, the second vehicle being a vehicle located within a preset range of the corresponding unloading point; obtaining a loading status of the second vehicle; Based on the remaining power and loading status of the second vehicle, a predicted remaining power of the second vehicle when arriving at the corresponding unloading point is predicted.

4. The battery swap scheduling method according to claim 1, characterized in that: Before sending the battery replacement reminder to the vehicle having the battery replacement demand, the method further includes: Obtaining the number of replaceable batteries in the battery swap station; Determining whether the number of replaceable batteries is greater than or equal to the number of vehicles requiring battery replacement; If so, sending the battery replacement reminder to the vehicle that has the battery replacement demand; If not, the battery replacement reminder is sent to the vehicles that meet the priority conditions and have the battery replacement demand.

5. The battery swap scheduling method according to claim 4, characterized in that: Also includes: Constructing a priority sequence including each of the vehicles based on the predicted remaining power; The sending the battery replacement reminder to the vehicle that meets the priority condition and has the battery replacement demand includes: Based on the priority of the vehicle with the battery replacement demand in the priority sequence, determine the vehicle with the battery replacement demand that matches the number of the replaceable batteries as the vehicle to be reminded that meets the priority condition; Send the battery replacement reminder to the vehicle to be reminded.

6. The battery swap scheduling method according to claim 5, characterized in that: The constructing a priority sequence including each vehicle based on the predicted remaining power includes: When the predicted remaining power of each vehicle is different, constructing a priority sequence including each vehicle in order of the predicted remaining power from least to greatest; When there are vehicles with the same predicted remaining power among the vehicles, a priority sequence including the vehicles is constructed in descending order of power consumption per unit time of the vehicles with the same predicted remaining power.

7. The battery swap scheduling method according to claim 4, characterized in that: The determining whether to send the battery replacement reminder to the fourth vehicle based on the arrival time of the fourth vehicle arriving at the corresponding unloading point again and the number of replaceable batteries at the arrival time includes: Predicting, based on the current position and remaining power of the fourth vehicle, the arrival time of the fourth vehicle at the corresponding unloading point again; Based on the battery replacement status of vehicles with the battery replacement demand within each preset time period from the current moment to the arrival moment, predict the number of replaceable batteries at the arrival moment; When the number of the replaceable batteries is less than the number of the fourth vehicle at the arrival time, the battery replacement reminder is sent to the fourth vehicle.

8. A battery swap scheduling system, characterized in that: The battery swap scheduling method according to any one of claims 1 to 7 is applied to battery swap scheduling of vehicles operating in a closed scene, wherein the closed scene includes a fixed battery swap station, including: The acquisition module is used to obtain the current location and remaining power of each vehicle; A prediction module, configured to predict the remaining power of each vehicle when it arrives at the corresponding unloading point based on the current position and remaining power of each vehicle; a judgment module, configured to judge whether each vehicle has a battery replacement requirement based on the predicted remaining power; The reminder module is used to send a battery replacement reminder to vehicles that have the battery replacement demand.

9. The battery swap scheduling system according to claim 8, characterized in that: Also includes: A storage module, used to store the configuration information of each vehicle; The configuration information includes: the location of the material collection point, the location of the material unloading point, the vehicle loading time, the single empty time, the single empty mileage, the single empty power consumption, the single full load time, the single full load mileage, and the single full load power consumption.

10. The battery swap scheduling system according to claim 8, characterized in that: Also includes: A display module, configured to display status information of each vehicle in order of priority of each vehicle; The status information includes at least: current location, license plate number, remaining power, predicted remaining power, battery replacement reminder information, and priority.

11. A battery swap station, characterized in that: When used in a closed scenario, the battery swap station includes the battery swap scheduling system as described in any one of claims 8 to 10.

12. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the battery swap scheduling method according to any one of claims 1 to 7 is implemented.

13. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the battery swap scheduling method according to any one of claims 1 to 7 is implemented.

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