A battery warehouse dynamic configuration method, device and computer readable storage medium

Abstract

The application discloses a battery warehouse dynamic configuration method and device and a computer readable storage medium, wherein the method comprises the following steps: after an aircraft takes off with goods, acquiring first electric quantity data of the aircraft at present and second electric quantity data of current voyage consumption estimation; acquiring battery demand for building and wrapping a warehouse for the goods according to structure data of a single battery of the aircraft and shape data of the goods; judging whether the battery state of the current voyage meets the battery demand according to the first electric quantity data and the second electric quantity data; if the battery state meets the battery demand, building the warehouse by the single batteries required by the battery demand before the end of the current voyage. The application realizes a more efficient battery warehouse dynamic configuration scheme, greatly improves the storage space and endurance of the aircraft.

Description

Technical Field

[0001] This invention relates to the field of unmanned aerial vehicle technology, and in particular to a method, device and computer-readable storage medium for dynamic configuration of a battery cargo compartment. Background Technology

[0002] With the continuous development of unmanned aerial vehicle technology, drone logistics has become an emerging logistics trend.

[0003] Currently, when drones are used in logistics to transport goods, they first need to load goods of various shapes and sizes into a cargo hold. Then, the cargo hold is combined with the drone for transportation. Finally, at the end of the transportation, the goods are removed from the cargo hold. In this type of transportation solution, on the one hand, the cargo hold occupies a large space, compressing the cargo space; on the other hand, the cargo hold brings additional weight to the drone, reducing its limited range.

[0004] Therefore, how to avoid the space constraints and reduced flight range caused by cargo warehouses for drone logistics has become an urgent technical problem to be solved. Summary of the Invention

[0005] To address the aforementioned technical deficiencies in the prior art, this invention proposes a dynamic configuration method for battery storage, the method comprising:

[0006] After the aircraft takes off carrying cargo, acquire the aircraft's current first power data and the second power data estimated for the current flight distance.

[0007] The battery requirements for assembling and wrapping the cargo hold are obtained based on the structural data of the aircraft's individual batteries and the morphological data of the cargo.

[0008] Based on the first and second battery power data, it is predicted whether the battery status of the current flight range meets the battery requirements;

[0009] If the battery status meets the battery requirements, then before the end of the current voyage, the cargo hold is assembled using the required number of individual batteries included in the battery requirements.

[0010] Optionally, the step of acquiring the aircraft's current first battery power data and the second battery power data estimated for the current flight distance after the aircraft takes off carrying cargo includes:

[0011] The power data of all the individual batteries of the aircraft are obtained to form the first power data;

[0012] Based on the first power data and the current flight distance data, the power data of the first preset number of individual batteries estimated to be consumed during the current flight distance is obtained, and the second power data is formed.

[0013] Optionally, obtaining the battery requirements for assembling and wrapping the cargo hold based on the structural data of the aircraft's individual batteries and the morphological data of the cargo includes:

[0014] Obtain the battery dimensions and battery assembly dimensions of the individual battery contained in the structural data, and the cargo dimensions of the cargo contained in the morphological data;

[0015] The required number of individual batteries to form a package based on the outline of the cargo dimensions is calculated according to the battery's external dimensions and the battery assembly dimensions, and this number is taken as the battery requirement.

[0016] Optionally, the step of predicting whether the battery status for the current flight range meets the battery requirements based on the first battery data and the second battery data includes:

[0017] Subtracting the first preset number of fully charged individual cells from all of the individual cells yields the remaining number of individual cells.

[0018] When the remaining quantity is greater than or equal to the required quantity, it is determined that the battery state meets the battery requirement.

[0019] Optionally, if the battery status meets the battery requirements, then before the end of the current voyage, the cargo hold is assembled using the required number of individual batteries included in the battery requirements, including:

[0020] The estimated construction time of the warehouse and the preparation time of the required number of individual batteries are also included.

[0021] The assembly time of the cargo warehouse is calculated based on the estimated duration of the current voyage, the assembly time, and the preparation time, so that the cargo warehouse can be assembled before the end of the current voyage.

[0022] The present invention also proposes a dynamic configuration device for a battery storage compartment, the device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is executed by the processor to implement:

[0023] After the aircraft takes off carrying cargo, acquire the aircraft's current first power data and the second power data estimated for the current flight distance.

[0024] The battery requirements for assembling and wrapping the cargo hold are obtained based on the structural data of the aircraft's individual batteries and the morphological data of the cargo.

[0025] Based on the first and second battery power data, it is predicted whether the battery status of the current flight range meets the battery requirements;

[0026] If the battery status meets the battery requirements, then before the end of the current voyage, the cargo hold is assembled using the required number of individual batteries included in the battery requirements.

[0027] Optionally, the device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being implemented when executed by the processor:

[0028] The power data of all the individual batteries of the aircraft are obtained to form the first power data;

[0029] Based on the first power data and the current flight distance data, the power data of the first preset number of individual batteries estimated to be consumed during the current flight distance is obtained, and the second power data is formed.

[0030] Optionally, the device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being implemented when executed by the processor:

[0031] Obtain the battery dimensions and battery assembly dimensions of the individual battery contained in the structural data, and the cargo dimensions of the cargo contained in the morphological data;

[0032] The required number of individual batteries to form a package based on the outline of the cargo dimensions is calculated according to the battery's external dimensions and the battery assembly dimensions, and this number is taken as the battery requirement.

[0033] Optionally, the device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being implemented when executed by the processor:

[0034] Subtracting the first preset number of fully charged individual cells from all of the individual cells yields the remaining number of individual cells.

[0035] When the remaining quantity is greater than or equal to the required quantity, it is determined that the battery state meets the battery requirement;

[0036] The estimated construction time of the warehouse and the preparation time of the required number of individual batteries are also included.

[0037] The assembly time of the cargo warehouse is calculated based on the estimated duration of the current voyage, the assembly time, and the preparation time, so that the cargo warehouse can be assembled before the end of the current voyage.

[0038] The present invention also proposes a computer-readable storage medium storing a battery storage dynamic configuration program, which, when executed by a processor, implements the steps of the battery storage dynamic configuration method as described in any of the preceding claims.

[0039] The battery cargo hold dynamic configuration method, device, and computer-readable storage medium of the present invention acquire, after an aircraft takes off carrying cargo, firstly, the aircraft's current battery level and secondly, the estimated battery consumption for the current flight. Based on the structural data of the aircraft's individual batteries and the morphological data of the cargo, the battery requirements for assembling and wrapping the cargo hold are determined. Based on the first and second battery level data, it is predicted whether the battery status for the current flight meets the battery requirements. If the battery status meets the battery requirements, the cargo hold is assembled using the required number of individual batteries as specified in the battery requirements before the end of the current flight. This achieves a more efficient battery cargo hold dynamic configuration scheme, significantly improving the aircraft's storage space and range. Attached Figure Description

[0040] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings:

[0041] Figure 1 This is the first flowchart of the battery warehouse dynamic configuration method of the present invention;

[0042] Figure 2 This is the second flowchart of the battery warehouse dynamic configuration method of the present invention;

[0043] Figure 3 This is the third flowchart of the battery warehouse dynamic configuration method of the present invention;

[0044] Figure 4 This is the fourth flowchart of the battery warehouse dynamic configuration method of the present invention;

[0045] Figure 5 This is the fifth flowchart of the battery warehouse dynamic configuration method of the present invention. Detailed Implementation

[0046] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0047] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustrative purposes and has no specific meaning in itself. Therefore, "module," "part," or "unit" may be used interchangeably.

[0048] Figure 1This is the first flowchart of the battery warehouse dynamic configuration method of the present invention. This embodiment proposes a battery warehouse dynamic configuration method, which includes:

[0049] S1. After the aircraft takes off carrying cargo, obtain the aircraft's current first power data and the second power data estimated to be consumed during the current flight.

[0050] S2. Obtain the battery requirements for assembling and wrapping the cargo hold based on the structural data of the aircraft's individual batteries and the morphological data of the cargo.

[0051] S3. Based on the first power data and the second power data, predict whether the battery status of the current flight range meets the battery requirements;

[0052] S4. If the battery status meets the battery requirements, then before the end of the current voyage, the cargo hold is assembled using the required number of individual batteries included in the battery requirements.

[0053] In this embodiment, the aircraft is a fixed-wing UAV or a multi-rotor UAV. The aircraft has multiple built-in individual batteries, each of which can be used as a separate assembly module. On the one hand, multiple assembly modules can be assembled into multiple battery packs to power the aircraft. On the other hand, multiple assembly modules can also be assembled into a rectangular body to serve as a cargo hold.

[0054] In this embodiment, after the aircraft takes off carrying cargo, it acquires the aircraft's current first battery level data and the estimated second battery level data for the current flight distance. The cargo is categorized as either delivered separately to the aircraft or delivered along with the cargo hold. When cargo is delivered separately, the aircraft uses available individual batteries from the flight to construct a cargo hold. When cargo is loaded into a cargo hold and the cargo hold is delivered to the aircraft, two types of operations are performed based on actual needs: First, if the cargo hold is composed of at least a portion of fully charged individual batteries, it is disassembled during the flight to replace the aircraft's consumed batteries, and a new cargo hold is constructed using at least a portion of the consumed individual batteries. Second, if the cargo hold is composed of at least a portion of partially charged individual batteries, the partially charged individual batteries in the cargo hold are replaced during the flight, so that the cargo hold can provide additional power to the next aircraft when entering the next flight, or the fully charged individual batteries in the cargo hold are replaced during the flight, thereby improving the current aircraft's endurance.

[0055] In this embodiment, the battery requirements for assembling and wrapping the cargo hold are obtained based on the structural data of the aircraft's individual batteries and the morphological data of the cargo. The battery requirements include the required number of individual batteries needed to wrap the cargo; furthermore, when the cargo itself requires continuous power during its flight, the battery requirements also include the required amount of electricity for a certain number of individual batteries.

[0056] In this embodiment, the battery status for the current flight range is predicted to meet the battery requirements based on the first and second battery data. One approach is to directly determine whether the number of individual batteries consumed during the flight meets the required number; if so, the battery status for the current flight range is determined to meet the battery requirements. Another approach is to determine whether the remaining number of individual batteries (after subtracting the number of individual batteries consumed during the flight range) meets the required number; if so, the battery status for the current flight range is determined to meet the battery requirements.

[0057] In this embodiment, if the battery status meets the battery requirements, the cargo hold is constructed using the required number of individual batteries included in the battery requirements before the end of the current flight. One approach is to construct the cargo hold in real-time using the consumed individual batteries, based on the determination that the number of individual batteries consumed during the flight meets the required number. Another approach is to construct the cargo hold at any point during the flight's construction timeframe, based on the determination that the remaining number of batteries (after subtracting the number of individual batteries consumed during the flight) meets the required number.

[0058] The beneficial effect of this embodiment is that, after the aircraft takes off carrying cargo, it acquires the aircraft's current first battery power data and the estimated second battery power consumption data for the current flight distance; it obtains the battery requirements for assembling and wrapping the cargo hold based on the structural data of the aircraft's individual batteries and the morphological data of the cargo; it predicts whether the battery status for the current flight distance meets the battery requirements based on the first and second battery power data; if the battery status meets the battery requirements, the cargo hold is assembled using the required number of individual batteries included in the battery requirements before the end of the current flight distance. This achieves a more efficient dynamic configuration scheme for battery cargo holds, greatly improving the aircraft's storage space and endurance.

[0059] Figure 2 This is a second flowchart of the battery cargo compartment dynamic configuration method of the present invention. Based on the above embodiment, the step of obtaining the aircraft's current first battery power data and the estimated second battery power consumption data for the current flight distance after the aircraft takes off with cargo includes:

[0060] S11. Obtain the power data of all the individual batteries of the aircraft to form the first power data;

[0061] S12. Based on the first power data and the current flight distance data, obtain the power data of the first preset number of individual batteries estimated to be consumed during the current flight distance, and form the second power data.

[0062] Optionally, in this embodiment, it is detected whether the cargo itself needs a power supply. If it is determined that the cargo itself needs a power supply, the third power data required by the cargo is calculated based on the current flight time.

[0063] Optionally, in this embodiment, when it is determined that the warehouse is assembled from individual batteries that have consumed power, at least a portion of the individual batteries that can provide the third power data are added.

[0064] Figure 3 This is the third flowchart of the battery cargo hold dynamic configuration method of the present invention. Based on the above embodiments, the step of obtaining the battery requirements for assembling and wrapping the cargo hold according to the structural data of the aircraft's individual batteries and the morphological data of the cargo includes:

[0065] S21. Obtain the battery outline dimensions and battery splicing dimensions of the individual battery contained in the structural data, and the cargo outline dimensions of the cargo contained in the morphological data.

[0066] S22. Calculate the required number of individual batteries to form a package based on the outline of the cargo's dimensions, according to the battery's external dimensions and the battery assembly dimensions, and use this as the battery requirement.

[0067] Optionally, in this embodiment, it is possible to detect whether the shape of the goods will change dynamically. For example, for live animals, when it is determined that the shape of the goods will change dynamically, a corresponding space size margin is set so that the assembled warehouse can better provide a storage environment for the goods.

[0068] Optionally, in this embodiment, during the assembly process of the cargo warehouse, on the one hand, it is necessary to determine the first size parameter based on the internal space of the aircraft and the first interface parameter based on the internal interface of the aircraft. When calculating the outline of the cargo's external dimensions to form a package, the above-mentioned first size restriction and first splicing restriction are combined, so that the assembled cargo warehouse can be smoothly taken out from inside the aircraft to the outside after the flight ends, and on the other hand, it can be fixedly connected with the internal interface of the aircraft during the flight to avoid shaking.

[0069] Figure 4This is the fourth flowchart of the battery cargo compartment dynamic configuration method of the present invention. Based on the above embodiments, the step of predicting whether the battery status of the current flight range meets the battery requirements based on the first power data and the second power data includes:

[0070] S31. Subtract the first preset number of fully charged individual cells from all the individual cells to obtain the remaining number of individual cells.

[0071] S32. When the remaining quantity is greater than or equal to the required quantity, determine that the battery state meets the battery requirement.

[0072] Optionally, in this embodiment, when the remaining quantity is less than the required quantity, it is determined whether the warehouse construction time is less than a preset value.

[0073] Optionally, in this embodiment, if the warehouse assembly time is less than a preset value, the remaining quantity of individual batteries is added after at least a portion of the first preset number of individual batteries has been depleted, in order to determine that the battery status meets the battery requirements.

[0074] Figure 5 This is the fifth flowchart of the battery cargo warehouse dynamic configuration method of the present invention. Based on the above embodiments, if the battery status meets the battery requirements, then before the end of the current voyage, the cargo warehouse is constructed by assembling the required number of individual batteries included in the battery requirements, including:

[0075] S41. Estimate the construction time of the warehouse and the preparation time of the required number of individual batteries;

[0076] S42. Calculate the assembly time of the cargo warehouse based on the estimated duration of the current voyage, the assembly time, and the preparation time, so that the cargo warehouse can be assembled before the end of the current voyage.

[0077] Optionally, in this embodiment, one approach is to construct the cargo hold in real time using the consumed individual batteries, based on the determination that the number of individual batteries consumed during the flight meets the required quantity. Another approach is to determine that the remaining number of individual batteries (after subtracting the number of individual batteries consumed during the flight) meets the required quantity, and then construct the cargo hold at any point during the flight within the construction timeframe. Based on these two approaches, corresponding construction times can be set. For example, a later construction time can be set for the former, and an earlier construction time can be set for the latter.

[0078] Based on the above embodiments, the present invention also proposes a dynamic configuration device for a battery storage compartment. This device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the following:

[0079] After the aircraft takes off carrying cargo, acquire the aircraft's current first power data and the second power data estimated for the current flight distance.

[0080] The battery requirements for assembling and wrapping the cargo hold are obtained based on the structural data of the aircraft's individual batteries and the morphological data of the cargo.

[0081] Based on the first and second battery power data, it is predicted whether the battery status of the current flight range meets the battery requirements;

[0082] If the battery status meets the battery requirements, then before the end of the current voyage, the cargo hold is assembled using the required number of individual batteries included in the battery requirements.

[0083] Optionally, the device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being implemented when executed by the processor:

[0084] The power data of all the individual batteries of the aircraft are obtained to form the first power data;

[0085] Based on the first power data and the current flight distance data, the power data of the first preset number of individual batteries estimated to be consumed during the current flight distance is obtained, and the second power data is formed.

[0086] Optionally, the device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being implemented when executed by the processor:

[0087] Obtain the battery dimensions and battery assembly dimensions of the individual battery contained in the structural data, and the cargo dimensions of the cargo contained in the morphological data;

[0088] The required number of individual batteries to form a package based on the outline of the cargo dimensions is calculated according to the battery's external dimensions and the battery assembly dimensions, and this number is taken as the battery requirement.

[0089] Optionally, the device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being implemented when executed by the processor:

[0090] Subtracting the first preset number of fully charged individual cells from all of the individual cells yields the remaining number of individual cells.

[0091] When the remaining quantity is greater than or equal to the required quantity, it is determined that the battery state meets the battery requirement;

[0092] The estimated construction time of the warehouse and the preparation time of the required number of individual batteries are also included.

[0093] The assembly time of the cargo warehouse is calculated based on the estimated duration of the current voyage, the assembly time, and the preparation time, so that the cargo warehouse can be assembled before the end of the current voyage.

[0094] Based on the above embodiments, the present invention also proposes a battery storage dynamic configuration device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the battery storage dynamic configuration method as described in any of the above embodiments.

[0095] It should be noted that the above-described device embodiments and method embodiments belong to the same concept. The specific implementation process can be found in the method embodiments, and the technical features in the method embodiments are also applicable to the device embodiments, which will not be repeated here.

[0096] Based on the above embodiments, the present invention also proposes a computer-readable storage medium storing a battery storage dynamic configuration program, which, when executed by a processor, implements the steps of the battery storage dynamic configuration method as described in any of the above embodiments.

[0097] It should be noted that the above-described medium embodiments and method embodiments belong to the same concept. The specific implementation process can be found in the method embodiments, and the technical features in the method embodiments are also applicable to the medium embodiments, which will not be repeated here.

[0098] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0099] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0100] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0101] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A method for dynamically configuring a battery vault, the method comprising: The method comprises: after the aircraft carrying the goods takes off, obtaining first electric quantity data of the aircraft at present and second electric quantity data of the current flight estimated consumption; obtaining the battery demand for building and wrapping the cargo hold of the goods according to the structure data of the single battery of the aircraft and the shape data of the goods; judging whether the battery state of the current flight meets the battery demand according to the first electric quantity data and the second electric quantity data; if the battery state meets the battery demand, building the cargo hold by the single batteries of the required quantity included in the battery demand before the end of the current flight; wherein, obtaining the electric quantity data of all the single batteries of the aircraft to form the first electric quantity data, and obtaining the electric quantity data of the first preset quantity of the single batteries estimated to be consumed in the current flight according to the first electric quantity data and the flight data of the current flight to form the second electric quantity data; obtaining the battery outline size and the battery splicing size of the single battery included in the structure data, and the goods outline size of the goods included in the shape data, and calculating the required quantity of the single battery for forming the outline of the goods outline size as the battery demand according to the battery outline size and the battery splicing size.

2. The battery bin dynamic configuration method of claim 1, wherein, The judgment whether the battery state of the current flight meets the battery demand according to the first electric quantity data and the second electric quantity data comprises: subtracting the first preset quantity of the single batteries all of which are full of electricity from all the single batteries to obtain the remaining quantity of the single batteries; when the remaining quantity is greater than or equal to the required quantity, determining that the battery state meets the battery demand.

3. The battery bin dynamic configuration method of claim 2, wherein, If the battery state meets the battery demand, building the cargo hold by the single batteries of the required quantity included in the battery demand before the end of the current flight, comprising: estimating the building duration of the cargo hold and the preparation duration of the required quantity of the single batteries; calculating the building time of the cargo hold according to the estimated duration of the current flight, the building duration and the preparation duration, so that the cargo hold is built before the end of the current flight.

4. A battery vault dynamic configuration device, characterized by, The device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, and the computer program is executed by the processor to realize: after the aircraft carrying the goods takes off, obtaining first electric quantity data of the aircraft at present and second electric quantity data of the current flight estimated consumption; obtaining the battery demand for building and wrapping the cargo hold of the goods according to the structure data of the single battery of the aircraft and the shape data of the goods; judging whether the battery state of the current flight meets the battery demand according to the first electric quantity data and the second electric quantity data; if the battery state meets the battery demand, building the cargo hold by the single batteries of the required quantity included in the battery demand before the end of the current flight; Obtaining the power data of all the single batteries of the aircraft, composing the first power data, and obtaining the first preset number of the power data of the single batteries consumed by the current flight according to the first power data and the flight data of the current flight, composing the second power data; Obtaining the battery size and the battery splicing size of the single battery contained in the structure data, and the cargo size of the cargo contained in the form data, calculating the required number of the single battery forming a contour of the cargo size as the battery requirement according to the battery size and the battery splicing size.

5. The battery bin dynamic configuration apparatus of claim 4, wherein, The device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, and the computer program is executed by the processor to realize: Subtracting the first preset number of the single batteries with full power from all the single batteries to obtain the remaining number of the single batteries; When the remaining number is greater than or equal to the required number, it is determined that the battery state meets the battery requirement; Estimating the splicing duration of the warehouse and the preparation duration of the required number of the single batteries; According to the estimated duration of the current flight, the splicing duration and the preparation duration, the splicing time of the warehouse is calculated to complete the splicing of the warehouse before the end of the current flight.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a battery warehouse dynamic configuration program, and the battery warehouse dynamic configuration program is executed by the processor to realize the steps of the battery warehouse dynamic configuration method in any one of claims 1 to 3.

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