CN114954375A

CN114954375A - Battery swapping scheduling method and system and battery swapping station

Info

Publication number: CN114954375A
Application number: CN202210626451.0A
Authority: CN
Inventors: 曲宏鹏
Original assignee: Sany Heavy Equipment Co Ltd
Current assignee: Sany Heavy Equipment Co Ltd
Priority date: 2022-06-02
Filing date: 2022-06-02
Publication date: 2022-08-30
Also published as: WO2023231229A1

Abstract

The invention relates to the technical field of vehicle scheduling, and provides a battery swapping scheduling method, a battery swapping scheduling system and a battery swapping station, which are used for battery swapping scheduling of a vehicle running in a closed scene, wherein the closed scene comprises a fixed battery swapping station, and the method comprises the following steps: acquiring the current position and the residual electric quantity of each vehicle; predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point based on the current position and the residual electric quantity of each vehicle; judging whether each vehicle has a battery replacement demand or not based on the predicted residual electric quantity; and sending a battery replacement prompt to the vehicle with the battery replacement requirement. The vehicle battery replacement scheduling method and the vehicle battery replacement scheduling system are used for solving the defect that in the prior art, the battery replacement scheduling of the vehicle in a closed operation environment is still performed in a manual judgment mode, so that the control over the battery replacement time of the vehicle is not accurate, the vehicle battery replacement reminding and scheduling based on the predicted residual electric quantity of the vehicle are realized, and the timeliness of the battery replacement of the vehicle is effectively guaranteed.

Description

Battery swapping scheduling method and system and battery swapping station

Technical Field

The invention relates to the technical field of battery swapping scheduling, in particular to a battery swapping scheduling method, a battery swapping scheduling system and a battery swapping station.

Background

With the increasing environmental protection situation, more and more vehicles are driven by batteries, however, the electric vehicles are used to avoid environmental pollution, but need to be charged or replaced.

At present, for closed operation environments such as mines, ports, wharfs and the like, a fixed battery replacement station is generally arranged, and then a transport vehicle which moves to and from a material collecting point and a material discharging point can move to the battery replacement station to replace the battery when the electric quantity is low. However, there is no reasonable scheduling method for the current closed operation environment, and generally, it is still determined when to take the power exchange station to exchange power based on the subjective intention of the operator, which may cause the battery power shortage of the vehicle in the transportation due to untimely power exchange or misjudgment of the battery power, and further cause the vehicle to be unable to move in the transportation, which affects the operation efficiency.

Disclosure of Invention

The invention provides a battery replacement scheduling method, a battery replacement scheduling system and a battery replacement station, which are used for solving the defect that in the prior art, a manual judgment mode is still adopted for battery replacement scheduling of a vehicle in a closed running environment, so that the time for battery replacement of the vehicle is not accurately mastered easily, the battery replacement reminding and scheduling of the vehicle are realized based on the predicted residual electric quantity of the vehicle, and the timeliness of battery replacement of the vehicle is effectively ensured.

The invention provides a power swapping scheduling method, which is used for power swapping scheduling of a vehicle running in a closed scene, wherein the closed scene comprises a fixed power swapping station, and the method comprises the following steps:

acquiring the current position and the residual electric quantity of each vehicle;

predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point based on the current position and the residual electric quantity of each vehicle;

judging whether each vehicle has a battery replacement demand or not based on the predicted residual electric quantity;

and sending a battery replacement prompt to the vehicle with the battery replacement requirement.

According to the power change scheduling method, the step of predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point based on the current position and the residual electric quantity of each vehicle comprises the following steps:

acquiring the distance of the material collecting point corresponding to the distance between each vehicle as a first distance;

judging whether each vehicle is a first vehicle or not based on the relation between the first distance and a preset first distance threshold value, wherein the first vehicle is a vehicle located in the corresponding preset sampling point range;

acquiring a loading state of the first vehicle;

and predicting the predicted residual capacity of the first vehicle reaching the corresponding discharging point based on the residual capacity and the loading state of the first vehicle.

According to the power change scheduling method, the predicting remaining capacity of each vehicle reaching the corresponding discharging point based on the current position and the remaining capacity of each vehicle further includes:

acquiring the distance of the discharging points corresponding to the distance of each vehicle as a second distance;

judging whether each vehicle is a second vehicle according to the relationship between the second distance and a preset second distance threshold value, wherein the second vehicle is a vehicle located in the corresponding preset range of the discharging point;

acquiring a loading state of the second vehicle;

and predicting the predicted residual capacity of the second vehicle reaching the corresponding discharge point based on the residual capacity and the loading state of the second vehicle.

According to the battery replacement scheduling method, before the battery replacement reminding is sent to the vehicle with the battery replacement requirement, the method further comprises the following steps:

acquiring the number of the replaceable batteries in the power conversion station;

judging whether the number of the replaceable batteries is larger than or equal to the number of the vehicles with the battery replacement requirements or not;

if so, sending the battery replacement prompt to the vehicle with the battery replacement requirement;

and if not, sending the battery swapping prompt to the vehicle meeting the priority condition and having the battery swapping requirement.

The battery swapping scheduling method further comprises the following steps:

constructing a priority sequence containing the vehicles based on the predicted residual electric quantity;

the sending the battery replacement prompt to the vehicle meeting the priority condition and having the battery replacement requirement includes:

determining vehicles with the battery replacement requirements, which are matched with the number of the battery replacement requirements, as to-be-reminded vehicles meeting the priority conditions based on the priorities of the vehicles with the battery replacement requirements in the priority sequence;

and sending the battery replacement reminding to the vehicle to be reminded.

According to the battery swapping scheduling method, the establishing of the priority sequence including the vehicles based on the predicted residual electric quantity comprises the following steps:

when the predicted residual capacities of the vehicles are different, constructing a priority sequence including the vehicles according to the sequence of the predicted residual capacities from less to most;

and when vehicles with the same predicted residual electric quantity exist in the vehicles, constructing a priority sequence comprising the vehicles according to the sequence that the power consumption of the vehicles with the same predicted residual electric quantity in unit time length is at least increased.

The battery swapping scheduling method further comprises the following steps:

predicting the residual capacity of the third vehicle from the corresponding discharging point to the corresponding collecting point again based on the predicted residual capacity; the third vehicle is the other vehicles except the vehicle with the battery replacement requirement;

screening out a fourth vehicle from the third vehicles based on the residual capacity of the third vehicles reaching the corresponding discharging points again; the fourth vehicle is a vehicle with the battery replacement requirement after arriving at the corresponding discharging point again;

and determining whether to send the battery replacement reminder to the fourth vehicle or not based on the arrival time when the fourth vehicle arrives at the corresponding discharging point again and the number of the rechargeable batteries at the arrival time.

According to the power swapping scheduling method of the present invention, before determining whether to send the power swapping prompt to the fourth vehicle based on the arrival time at which the fourth vehicle arrives at the corresponding discharging point again and the number of the replaceable batteries at the arrival time, the method includes:

predicting the arrival time of the fourth vehicle at the corresponding discharge point again based on the current position and the residual capacity of the fourth vehicle;

predicting the number of the rechargeable batteries at the arrival time based on the charging condition of the vehicle with the charging requirement in each preset time period from the current time to the arrival time;

and when the number of the replaceable batteries is smaller than that of the fourth vehicles at the arrival time, sending the battery replacement prompt to the fourth vehicles.

The invention also provides a power swapping scheduling system for power swapping scheduling of a vehicle running in a closed scene, wherein the closed scene comprises a fixed power swapping station, and the power swapping scheduling system comprises:

the acquisition module is used for acquiring the current position and the residual electric quantity of each vehicle;

the prediction module is used for predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point based on the current position and the residual electric quantity of each vehicle;

the judging module is used for judging whether each vehicle has a battery replacement demand or not based on the predicted residual electric quantity;

and the reminding module is used for sending a battery replacement reminding to the vehicle with the battery replacement requirement.

The battery swapping scheduling system according to the present invention further comprises:

the storage module is used for storing the configuration information of each vehicle;

the configuration information includes: material pick-up point position, material discharge point position, vehicle load duration, single no-load mileage, single no-load power consumption, single full-load duration, single full-load mileage, and single full-load power consumption.

the display module is used for displaying the state information of each vehicle according to the priority order of each vehicle;

the state information includes at least: the current position, the license plate number, the residual electric quantity, the predicted residual electric quantity, the battery replacement reminding information and the priority.

The invention also provides a battery replacement station applied in a closed scene, and the battery replacement station comprises any one of the battery replacement scheduling systems.

The invention also provides an electronic device, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the program, the power swapping scheduling method is realized according to any one of the above methods.

The present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a swapping scheduling method as described in any of the above.

According to the battery replacement scheduling method, system and battery replacement station, the current position and the residual electric quantity of each vehicle running in a closed scene are obtained, then the predicted residual electric quantity of each vehicle reaching the corresponding discharging point is predicted based on the current position and the residual electric quantity of each vehicle, and finally a battery replacement prompt is sent to the vehicle which is determined based on the predicted residual electric quantity and has a battery replacement requirement. Whether the vehicles have the power change requirement or not is judged based on the predicted residual electric quantity after each vehicle reaches the corresponding discharging point, the problem that the vehicles need to be in a no-load state under a closed scene to change the power is fully considered, and the accuracy of judging the power change time of the vehicles is improved, so that the problem that the power change operation is not timely due to manual pre-judgment is avoided, the operating efficiency under the closed scene is guaranteed, and the optimal operation of the vehicles is achieved.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flow diagram of a battery swapping scheduling method provided in the present invention;

fig. 2 is a schematic flow chart illustrating automatic vehicle scheduling in a closed scene by combining the battery swapping scheduling method provided by the present invention with a prompt interface;

fig. 3 is a schematic structural diagram of a battery swapping scheduling system provided in the present invention;

fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The closed scene refers to a closed operation environment of a mine, a port, a wharf and the like, one or more fixed battery replacement stations are arranged in the closed scene, and vehicles move between a preset material collecting point and a preset material discharging point in the closed scene for carrying materials. The power station is generally arranged between the material collecting point and the material discharging point, and the vehicle can only exchange power in an unloaded state.

Referring to fig. 1 and 2, a power swapping scheduling method according to the present invention is described below, which is executed based on a cloud-end controller and/or software or hardware therein, as shown in fig. 1, where the power swapping scheduling method according to the embodiment of the present invention is used for power swapping scheduling of a vehicle operating in a closed scene, where the closed scene includes a fixed power swapping station, and the method includes the following steps:

101. acquiring the current position and the residual electric quantity of each vehicle;

it can be understood that the current position and the remaining power of the vehicle are state parameters of the vehicle at the current time, and in order to obtain configuration information of the vehicle, such as a material collecting point position, a material discharging point position, and vehicle power consumption, based on the current position and the remaining power of the vehicle, configuration information of each vehicle should be stored in a cloud-end controller for executing the power swapping scheduling method, and in order to ensure accuracy of the configuration information, the configuration information should be set to be updated in real time or periodically.

102. Predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point based on the current position and the residual electric quantity of each vehicle;

specifically, in a closed scene, the vehicle travels back and forth between the material collecting point and the discharging point along a preset path, after the current position of the vehicle is obtained, the distance from the vehicle to the corresponding discharging point can be known, and then according to the power consumption of the vehicle in the unit length of the vehicle running and the residual power of the vehicle, the power consumption required by the vehicle to travel from the current position to the discharging point can be predicted, and further the predicted residual power of the vehicle to reach the corresponding discharging point can be obtained.

Further, the power consumption of the vehicle running in the full load state is obviously larger than that of the vehicle running in the no load state, so that in order to improve the accuracy of the obtained predicted residual capacity, the loading state of the vehicle can be further acquired, and the predicted residual capacity of the vehicle reaching the discharging point in the corresponding loading state can be further predicted.

103. Judging whether each vehicle has a battery replacement demand or not based on the predicted residual electric quantity;

104. and sending a battery replacement prompt to the vehicle with the battery replacement requirement.

Specifically, after the predicted residual electric quantity of the vehicle reaching the discharging point is obtained, whether the current predicted residual electric quantity of the vehicle can support the material collecting point and the discharging point which go back and forth once can be judged according to the electric quantity which is required to be consumed when the vehicle goes back and forth from the material collecting point to the discharging point, and when the predicted residual electric quantity is not enough to support the material collecting point and the discharging point which go back and forth once again, the situation that the vehicle needs to be subjected to battery replacement is indicated, namely whether the battery replacement requirement exists in each vehicle is determined.

More specifically, through sending the power switching reminding to the vehicle that has the power switching demand, can in time remind the driver to go to and trade the power station and carry out the battery change to avoided the vehicle because of the phenomenon that the electric quantity is not enough to stop in transit, and then guaranteed the operating efficiency under the closed scene.

It can be understood that trade the power station and generally set up between material collection point and discharge point, when the vehicle has passed through trade the power station and the distance is gathered the material point near, if need make the vehicle turn back because trade the electricity, then the waste of electric quantity has been caused to a great extent, comparatively reasonable mode should be that the judgement has passed through the vehicle that trades the power station and go to material collection point, reach and adopt the material point to load to return the discharge point after, whether need trade the electricity, thereby effectively avoid the waste of electric quantity.

Based on this, in an embodiment of the present invention, the predicting the predicted remaining capacity of each truck to reach the corresponding discharging point based on the current position and the remaining capacity of each truck includes:

acquiring a loading state of the first vehicle;

Specifically, through reasonable setting of the first distance threshold value, vehicles in a preset range of a material collecting point, namely, vehicles near a sampling point can be screened out from all vehicles, then based on the loading state of the vehicles near the material collecting point, whether the vehicles go to the material collecting point for loading or are ready to go to the material collecting point after loading can be judged, and then the predicted residual electric quantity when the vehicles reach the corresponding discharging points can be predicted based on the current position and the residual electric quantity of the vehicles by combining the loading time, the no-load power consumption, the full-load power consumption and the like of the vehicles. Therefore, the electric quantity waste caused by the fact that the vehicle needs to return back to the battery replacement station in a no-load manner for replacing the battery when the vehicle reaches the position near the material collecting point is avoided.

As an embodiment of the present invention, the predicting remaining power of each truck reaching the corresponding discharging point based on the current position and the remaining power of each truck further includes:

acquiring a loading state of the second vehicle;

Specifically, by reasonably setting the second distance threshold, vehicles in a preset range of a discharging point, namely, in the vicinity of the discharging point can be screened from the vehicles, then whether the vehicles are already discharged or are ready to discharge can be judged based on the loading state of the vehicles in the vicinity of the discharging point, and then the predicted residual capacity of the vehicles reaching the discharging point can be predicted based on the current position and the residual capacity of the vehicles in combination with the loading duration, the no-load power consumption, the full-load power consumption and the like of the vehicles. Thereby improving the accuracy of the prediction of the predicted remaining capacity of the vehicle in the vicinity of the discharge point.

More specifically, the predicted residual electric quantity of the vehicles near the material collecting point and the discharging point after reaching the corresponding discharging point is predicted, so that the trouble of predicting all the vehicles in a closed scene is avoided, the data processing capacity is effectively reduced, and the processing efficiency is improved.

Further, in the battery swapping scheduling method according to the embodiment of the present invention, the current position and the remaining power of each vehicle are preferably acquired at a preset period, for example: the method comprises the steps of 5 seconds, 8 seconds, 10 seconds and the like, then determining vehicles with power change requirements based on the predicted residual power reaching corresponding discharging points obtained through prediction of the current position and the residual power, achieving the purpose of ensuring that the accurate predicted residual power is obtained for the residual power and the current position of all vehicles in a closed scene through setting of a short time period, and avoiding the phenomenon that the vehicles which are not located near the material collecting points and are not located near the discharging points cannot run due to insufficient power.

As an embodiment of the present invention, before sending a power swapping prompt to a vehicle with the power swapping requirement, the method further includes:

Specifically, although a large number of station-side batteries are configured in the battery replacement station, the batteries are continuously replaced along with the vehicles, and the time consumed for charging the station-side batteries is consumed, so that the number of the replaceable batteries which can be used for replacing the batteries at the current moment is not required to meet all the vehicles with the battery replacement requirements, and therefore after the battery replacement requirements of the vehicles are predicted, the vehicle is selectively reminded to replace the batteries based on the battery conditions in the battery replacement station and the priority of the vehicles needing to be replaced, the utilization rate of the batteries is improved, and the congestion of the vehicles in the battery replacement station is avoided.

More specifically, the number of the replaceable batteries in the replacement station may be counted in segments based on the battery power and the time period. For example, the number of batteries with electricity greater than or equal to 95%, the number of batteries with electricity greater than or equal to 80% and less than 95%, and the number of batteries with electricity less than 80% can be divided, that is, the number of batteries is counted in each time period based on three electricity periods.

Further, for the priorities of the vehicles with the power change requirements, the predicted residual power after the vehicles reach the corresponding discharging points can be ranked, that is, the priority of the vehicle with the lower predicted residual power is higher, so that the vehicles with the lower predicted residual power can be used for power change.

As an embodiment of the present invention, the battery swapping scheduling method further includes:

and sending the battery replacement reminding to the vehicle to be reminded.

Specifically, the vehicles with less predicted residual electric quantity need to be replaced in time, so that normal work of the vehicles is guaranteed. By constructing the priority sequence of each vehicle based on the predicted residual electric quantity, the vehicles can be sequenced according to the urgent degree of battery replacement required in the priority sequence, so that the arrangement of battery replacement reminding is facilitated by the urgent degree with more battery replacement requirements.

More specifically, the power change reminding is sent to the vehicles matched with the number of the replaceable batteries, so that the congestion of the vehicles in the power change station is avoided.

Further, after the battery replacement reminding is carried out on the vehicles meeting the priority condition, the vehicles receiving the battery replacement reminding can be further tracked, namely, the vehicles which receive the battery replacement reminding and do not go to the battery replacement station for battery replacement are automatically ranked according to the priority, then the battery replacement reminding is sent to the next vehicle in the priority sequence, so that the battery replacement station and the vehicles in the closed scene can run smoothly, and the utilization rate of the batteries and the vehicles is improved.

As an embodiment of the present invention, the constructing a priority sequence including the vehicles based on the predicted remaining power includes:

Specifically, the predicted residual electric quantity of each vehicle can reflect the residual electric quantity of each vehicle when reaching the corresponding discharging point, and is further used for judging whether the vehicle continues to go to the corresponding material collecting point material or to the battery replacement station for battery replacement after reaching the discharging point, so that a priority sequence of each vehicle is constructed from less to most based on the predicted residual electric quantity of each vehicle and is matched with the battery replacement requirement degree of the vehicle.

Further, since there are many vehicles in the closed scene, there is a high possibility that the vehicles with the same predicted remaining power amount will appear, however, the vehicles with the larger power consumption amount per unit time period will consume the faster power amount during transportation, and therefore, for the vehicles with the same predicted remaining power amount, the priority order is determined based on the order of at least more power consumption amounts per unit time period of the vehicles, and can be matched with the power change demand degree of the vehicles.

Specifically, based on the battery swapping scheduling method according to the embodiment of the present invention, the determined vehicle with the battery swapping requirement is a vehicle that predicts that the vehicle with the insufficient remaining capacity performs the material transportation again after the current remaining capacity reaches the corresponding discharging point, however, for the vehicle that can also perform the material transportation once after the discharging point is reached, that is, for the third vehicle, if the vehicle passes the material transportation again, the battery swapping is likely to be performed. It will be appreciated that for a vehicle which requires battery change for another material transport, i.e. a fourth vehicle, on the one hand, if at its arrival time there is no available battery change available, after the arrival time the fourth vehicle can no longer carry out the material transport and needs to wait for battery change at the battery change station. On the other hand, if the battery replacement station has a replaceable battery capable of enabling the fourth vehicle to replace the battery before the fourth vehicle carries out the material transportation for the second time, the battery replacement station waits for the battery replacement after the material transportation for the fourth vehicle is carried out for the second time, and the vehicle goes to the battery replacement station for the battery replacement before the material transportation for the second time, so that the utilization rate of the battery and the vehicle is improved, and the battery replacement station jam caused by the queuing of the fourth vehicle is avoided.

More specifically, in the battery replacement scheduling method according to the embodiment of the present invention, for the fourth vehicle, when the number of the replaceable batteries is insufficient at the arrival time, the battery replacement reminder is sent to the fourth vehicle before the fourth vehicle performs the material transportation again, and when the number of the replaceable batteries is sufficient, the battery replacement reminder is sent to the fourth vehicle after the fourth vehicle performs the material transportation again.

As an embodiment of the present invention, before determining whether to send the power change reminder to the fourth vehicle based on an arrival time at which the fourth vehicle arrives again at the corresponding discharge point and the number of the rechargeable batteries at the arrival time, the method includes:

Specifically, by taking the preset time period as a unit, based on the charging condition of the vehicle with the charging demand before the current preset time period, the number of the replaceable batteries in each subsequent preset time period can be predicted, and then at the arrival time of the fourth vehicle, when the predicted number of the replaceable batteries is smaller than the number of the fourth vehicle, the power change reminder is sent to the fourth vehicle at the current time, so that the situation that the fourth vehicle goes to replace the battery again at the arrival time and the power change station is jammed due to the insufficient number of the replaceable batteries in the power change station is avoided.

More specifically, it can be understood that the premise of sending the power change reminder to the fourth vehicle at the current time includes not only predicting that the number of the rechargeable batteries is insufficient at the arrival time, but also including that the rechargeable batteries are idle after the vehicles with charging requirements are met at the current time, so as to avoid the congestion of the power change station caused by the insufficient number of the rechargeable batteries at the current time.

The power change scheduling method in the above embodiment of the invention includes obtaining a current position (e.g., longitude and latitude) and a remaining power of each vehicle, predicting a predicted remaining power of each vehicle reaching a corresponding discharging point based on the current position and the remaining power in combination with pre-stored configuration information of each vehicle, such as a material collecting point position, a discharging point position, a full-load power consumption, an idle power consumption, a vehicle loading duration, a single idle mileage, a single full-load mileage and the like corresponding to each vehicle, determining whether each vehicle has a power change requirement based on the predicted remaining power, determining whether a vehicle without the power change requirement has the power change requirement after one-time material transportation of the vehicle, and finally sending a power change reminder to the vehicle with the power change requirement in combination with the number of power change batteries in the power change station and the priority of each vehicle to realize data transmission based on the vehicle to the cloud end and then to the station controller, and the station controls the cloud and the data feedback capacity of the vehicle end, so that automatic pushing of vehicle operation and battery replacement procedures is realized, priority echelons are arranged for vehicles with the same pushing (battery replacement is required or not required) and the priority is automatically arranged for vehicles which are pushed but not executed, and finally the whole battery replacement station and the battery replacement operation vehicle can achieve the effects of smooth operation and high utilization rate.

Further, based on the power swapping scheduling method described in the above embodiment of the present invention, a power swapping scheduling prompt interface may be set, and the vehicles are displayed in a list form on the prompt interface according to the priority order of the vehicle with the power swapping requirement, where the list form may specifically include the priority of each vehicle, the location point, the license plate number, the current electric quantity, the electric quantity expected to reach the discharging point, the number of trips expected to go, the time expected to reach the discharging point again, whether to issue a power swapping alert, the content of the power swapping alert, and the like, where in consideration of possible vehicle route re-listing, when the number of trips expected to go is greater than or equal to one time, the power swapping alert is uniformly displayed as 1. Therefore, a user can visually know the conditions of all vehicles based on the prompt interface, and the manual adjustment of the scheduling of all vehicles by applying the battery swapping scheduling method provided by the embodiment of the invention is facilitated.

TABLE 1 List of vehicle conditions

Specifically, when the battery swapping scheduling method according to the embodiment of the present invention is combined with the prompt interface to perform automatic scheduling of vehicles in closed operation environments such as mines, ports, and docks, the method mainly includes the following steps as shown in fig. 2:

201. starting scheduling;

202. loading configuration information of each vehicle;

203. acquiring the current position and the residual electric quantity of each vehicle;

204. judging whether each vehicle is a first vehicle in a preset range of a material collecting point; if yes, go to step 205; if not, go to step 207;

205. predicting the time when the first vehicle reaches the corresponding discharging point and predicting the residual capacity;

206. updating a list of prompt interfaces based on the predicted remaining capacity of the first vehicle and the time to reach the corresponding discharge point;

207. judging whether each vehicle is a second vehicle within a preset range of a discharging point; if yes, go to step 208; if not, go to step 214;

208. predicting the time when the second vehicle reaches the corresponding discharging point and predicting the residual capacity;

209. updating the list of the prompt interface based on the predicted remaining capacity of the second vehicle and the time of reaching the corresponding discharging point;

210. judging whether each vehicle has a power change requirement or not based on the information of each vehicle in the list; if yes, go to step 211; if not, go to step 214;

211. judging whether the quantity of the rechargeable batteries is sufficient or not; if yes, go to step 212; if not, go to step 213;

212. sending a battery replacement prompt;

213. judging whether the vehicle with the charging requirement meets the priority condition or not; if yes, go back to step 212; if not, go to step 214;

214. and finishing the scheduling.

More specifically, based on table 1, it can be obtained that the number of each vehicle, the time when each vehicle arrives at the corresponding discharging point again, the current electric quantity of each vehicle, and the predicted remaining electric quantity when each vehicle arrives at the corresponding discharging point for the first time are clear, and then based on the analysis of the data shown in table 2, the number of the replaceable batteries in each preset time period, for example, every 20 minutes for table 2, can be obtained, as shown in table 3, so that the vehicle can be selectively sent the replacement prompt based on the number of the replaceable batteries in each preset time period.

TABLE 2 analysis of the number of rechargeable batteries

TABLE 3 number of rechargeable batteries in each preset duration period

The power swapping scheduling system provided by the present invention is described below, and a power swapping scheduling system described below and a power swapping scheduling method described above may be referred to correspondingly.

As shown in fig. 3, the power swapping scheduling system provided by the present invention is used for power swapping scheduling of a vehicle operating in a closed scene, where the closed scene includes a fixed power swapping station, and the power swapping scheduling system includes: the system comprises an acquisition module 310, a prediction module 320, a judgment module 330 and a reminding module 340; wherein the content of the first and second substances,

the obtaining module 310 is configured to obtain a current location and a remaining power of each vehicle;

the prediction module 320 is configured to predict, based on the current position and the remaining power of each vehicle, a predicted remaining power at which each vehicle reaches a corresponding discharging point;

the judging module 330 is configured to judge whether the electric power swapping requirement exists in each vehicle based on the predicted remaining electric power;

the reminding module 340 is configured to send a battery replacement reminding to a vehicle with the battery replacement requirement.

The power change scheduling system provided by the embodiment of the invention is used for predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point by acquiring the current position and the residual electric quantity of each vehicle running in a closed scene, and finally sending a power change prompt to the vehicle with the power change requirement determined based on the predicted residual electric quantity. Whether the power change requirement exists in each vehicle is judged based on the predicted residual electric quantity of each vehicle after reaching the corresponding discharging point, the problem that the power change of the vehicle can be carried out only in an idle state in a closed scene is fully considered, the accuracy of judging the power change time of the vehicle is improved, the problem that the power change operation is not timely due to manual pre-judgment is avoided, and the operation efficiency in the closed scene is guaranteed.

As an embodiment of the present invention, the battery swapping scheduling system further includes:

Specifically, the prediction module predicts the predicted remaining capacity of each truck to reach the corresponding discharge point based on the information of each truck acquired by the acquisition module and the storage module.

Specifically, through the arrangement of the display module, a user can visually know information of each vehicle, and meanwhile, the display module is preferably a human-computer interaction interface, so that manual adjustment and control over the scheduling of the battery swapping scheduling system are facilitated.

Preferably, the obtaining module is further configured to obtain a distance between each vehicle and a corresponding material collecting point as a first distance, and obtain a loading state of the first vehicle; the judging module is further used for judging whether each vehicle is a first vehicle or not based on the relation between the first distance and a preset first distance threshold value, wherein the first vehicle is a vehicle located in the corresponding preset sampling point range; the prediction module is further used for predicting to obtain the predicted residual capacity of the first vehicle reaching the corresponding discharging point based on the residual capacity and the loading state of the first vehicle.

Preferably, the obtaining module is further configured to obtain a distance between the discharging points corresponding to the distances between the vehicles as a second distance, and obtain a loading state of the second vehicle; the judging module is further used for judging whether each vehicle is a second vehicle according to the relationship between the second distance and a preset second distance threshold value, wherein the second vehicle is a vehicle located in the corresponding preset range of the discharging point; the prediction module is further configured to predict a predicted remaining capacity of the second vehicle to reach the corresponding discharge point based on the remaining capacity and the loading state of the second vehicle.

Further, the obtaining module is further configured to obtain the number of the rechargeable batteries in the recharging station; the judging module is further used for judging whether the number of the replaceable batteries is larger than or equal to the number of the vehicles with the battery replacement requirements; when the number of the vehicles with the battery replacement requirements is larger than or equal to that of the vehicles with the battery replacement requirements, sending the battery replacement reminding to the vehicles with the battery replacement requirements; and when the number of the vehicles with the battery replacement requirements is less than that of the vehicles with the battery replacement requirements, sending the battery replacement reminding to the vehicles with the battery replacement requirements meeting the priority conditions.

Preferably, the power swapping scheduling system further includes: building a module;

the construction module is used for constructing a priority sequence containing all vehicles based on the predicted residual electric quantity;

the judging module is further used for determining the vehicles with the battery replacement requirements, which are matched with the number of the battery replacement requirements, as the vehicles to be reminded, which meet the priority conditions based on the priorities of the vehicles with the battery replacement requirements in the priority sequence; the reminding module is also used for sending the battery replacement reminding to the vehicle to be reminded.

Further preferably, the building module builds a priority sequence including the vehicles according to an order of the predicted remaining power amounts being less than or most than the predicted remaining power amounts when the predicted remaining power amounts of the vehicles are different; and when vehicles with the same predicted residual electric quantity exist in the vehicles, constructing a priority sequence comprising the vehicles according to the sequence that the power consumption of the vehicles with the same predicted residual electric quantity in a unit time length is at least increased.

Still further preferably, the predicting module is further configured to predict the remaining capacity of the third vehicle, which reaches the corresponding discharging point again from the corresponding discharging point through the corresponding collecting point, based on the predicted remaining capacity; the third vehicle is the other vehicles except the vehicle with the battery replacement requirement; the judging module is further used for screening out a fourth vehicle from the third vehicles based on the residual electric quantity of the third vehicles reaching the corresponding discharging points again; the fourth vehicle is a vehicle with the battery replacement requirement after arriving at the corresponding discharging point again; and determining whether to send the battery replacement reminder to the fourth vehicle or not based on the arrival time when the fourth vehicle arrives at the corresponding discharging point again and the number of the rechargeable batteries at the arrival time.

In addition, the prediction module is further configured to predict the arrival time when the fourth vehicle arrives at the corresponding discharge point again based on the current position and the remaining capacity of the fourth vehicle; predicting the number of the rechargeable batteries at the arrival time based on the charging condition of the vehicle with the charging requirement in each preset time period from the current time to the arrival time; the judging module is further configured to enable the reminding module to send the battery replacement reminding to the fourth vehicle when the number of the rechargeable batteries at the arrival time is smaller than that of the fourth vehicle.

It can be understood that the swapping station applied in a closed scene, including the swapping scheduling system described in any of the above, has all advantages and technical effects of the swapping scheduling system, and is not described herein again.

Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface (Communications Interface)420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are in communication with each other via the communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform a swap scheduling method for a swap scheduling of a vehicle operating in a closed scenario with a fixed swap station included, the method comprising: acquiring the current position and the residual electric quantity of each vehicle; predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point based on the current position and the residual electric quantity of each vehicle; judging whether each vehicle has a battery replacement demand or not based on the predicted residual electric quantity; and sending a battery replacement prompt to the vehicle with the battery replacement requirement.

In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform a swapping schedule method provided by the above methods for swapping schedules for vehicles operating in a closed scenario in which a fixed swapping station is included, the method comprising: acquiring the current position and the residual electric quantity of each vehicle; predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point based on the current position and the residual electric quantity of each vehicle; judging whether each vehicle has a battery replacement demand or not based on the predicted residual electric quantity; and sending a battery replacement prompt to the vehicle with the battery replacement requirement.

In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a swap scheduling method for swap scheduling for a vehicle operating in a closed scenario in which a fixed swap station is included, the method comprising: acquiring the current position and the residual electric quantity of each vehicle; predicting the predicted residual electric quantity of each vehicle reaching the corresponding discharging point based on the current position and the residual electric quantity of each vehicle; judging whether each vehicle has a battery replacement demand or not based on the predicted residual electric quantity; and sending a battery replacement prompt to the vehicle with the battery replacement requirement.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A power swapping scheduling method is used for power swapping scheduling of a vehicle running in a closed scene, wherein a fixed power swapping station is included in the closed scene, and the method comprises the following steps:

2. The power swapping scheduling method of claim 1, wherein the predicting the predicted remaining power of each vehicle to reach the corresponding discharging point based on the current position and the remaining power of each vehicle comprises:

acquiring a loading state of the first vehicle;

3. The power swapping scheduling method of claim 2, wherein the predicting the predicted remaining power of each vehicle to reach the corresponding discharging point based on the current position and the remaining power of each vehicle further comprises:

acquiring the distance of the discharging point corresponding to the distance of each vehicle as a second distance;

acquiring a loading state of the second vehicle;

4. The battery replacement scheduling method according to claim 1, wherein before sending the battery replacement prompt to the vehicle with the battery replacement demand, the method further comprises:

judging whether the number of the replaceable batteries is larger than or equal to the number of vehicles with the battery replacement requirements or not;

5. The battery swapping scheduling method of claim 4, further comprising:

and sending the battery replacement reminding to the vehicle to be reminded.

6. The battery swapping scheduling method of claim 5, wherein the constructing a priority sequence including the vehicles based on the predicted remaining power comprises:

and when the vehicles with the same predicted residual electric quantity exist in the vehicles, constructing a priority sequence comprising the vehicles according to the sequence that the electric power consumption of the vehicles with the same predicted residual electric quantity in unit time length is at least larger.

7. The battery swapping scheduling method of claim 4, further comprising:

8. The power swapping scheduling method of claim 7, wherein the determining whether to send the power swapping prompt to the fourth vehicle before the fourth vehicle reaches the corresponding discharging point again based on the arrival time of the fourth vehicle and the number of the rechargeable batteries at the arrival time comprises:

9. The system for scheduling battery replacement is used for scheduling battery replacement of a vehicle running in a closed scene, wherein the closed scene comprises a fixed battery replacement station, and comprises:

10. The system for battery swapping scheduling of claim 9, further comprising:

11. The system for battery swapping scheduling of claim 9, further comprising:

12. A swapping station, applied in a closed scene, comprising the swapping scheduling system as claimed in any one of claims 9 to 11.

13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the swapping scheduling method according to any of claims 1 to 8 when executing the program.

14. A non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the swapping scheduling method of any of claims 1 to 8.