A lithium battery heating control method and system for unmanned aerial vehicle

Abstract

The invention discloses a lithium battery heating control method and system for an unmanned aerial vehicle, and relates to the technical field of battery heating. The invention comprises: step 1. obtaining basic battery information, step 2. analyzing battery status, step 3. obtaining unmanned aerial vehicle environmental information, step 4. analyzing unmanned aerial vehicle heating, and step 5. heating treatment of the unmanned aerial vehicle. The invention determines whether each lithium battery belonging to the unmanned aerial vehicle needs to be heated, and analyzes whether a variable resistance heating element is allowed to be used. If the use is not allowed, the user is notified to recycle the variable resistance heating element in advance to prevent the problem of the unmanned aerial vehicle crashing due to the inability to use the variable resistance heating element. If the use is allowed, the number of variable resistance heating elements and heating time required for each heated lithium battery belonging to the unmanned aerial vehicle are analyzed, and dynamic adjustment of battery heating is realized during the flight of the unmanned aerial vehicle to prevent the problems of too fast heating rate and too long heating time, thereby improving the life of the lithium battery.

Description

Technical Field

[0001] The present invention relates to the technical field of battery heating, and in particular to a lithium battery heating control method and system for an unmanned aerial vehicle. Background Art

[0002] With the development of drone technology, drones are often dispatched to some high or dangerous places for shooting. In these places or in winter, the ambient temperature is often low, which causes the drone to lose temperature. The lithium battery of the drone is more sensitive to temperature. When the problem of losing temperature occurs, the lithium battery of the drone may not be used normally, thus affecting the use of the drone. Therefore, a method of intelligently heating the drone battery is needed to help the drone operate normally in a low temperature environment.

[0003] Prior art, such as the invention patent application with announcement number: CN117059965A, discloses a drone battery control system with endurance protection characteristics and a control method thereof, which includes: a plurality of lithium-ion batteries, electric heating films coated on the upper and lower surfaces of the lithium-ion batteries, a helium pipeline assembly laid on the upper and lower surfaces of the lithium-ion batteries and the electric heating films, a helium tank connected to the helium pipeline assembly and located on the drone, an airbag assembly connected to the helium tank and located on the drone, a battery energy storage assembly connected to the lithium-ion battery, and a controller, wherein the controller is respectively connected to the airbag assembly, the battery energy storage assembly, the electric heating film, and the helium pipeline assembly. The present invention simultaneously solves the problems of low environmental adaptability of the battery, difficulty in battery heat dissipation, and poor endurance safety, so that the drone battery has the ability to withstand both low and high temperature environments, and significantly improves endurance and safety capabilities.

[0004] Prior art, such as the invention patent application with announcement number: CN112467253B, discloses a battery insulation and heating control system, method, drone and medium in a low temperature environment, wherein the system includes: a battery insulation and heating transport box that provides a box for storing and transporting drone batteries; an intelligent battery temperature control system integrated in the battery insulation and heating transport box, used for temperature management of drone intelligent batteries; a drone low temperature algorithm system integrated in the battery insulation and heating transport box, used to implement the flight strategy adopted by the drone when it detects that the external environment is a low temperature. The present invention solves the problem of lossless insulation and heating of the battery through a battery insulation and heating transport box, ensures real-time monitoring of the battery temperature by using a battery temperature control system, ensures the battery safety status before takeoff through a drone low temperature algorithm, and realizes reliable flight of the drone in a low temperature environment. The present invention can ensure the safety and reliability of drone flight in a low temperature environment.

[0005] From the above scheme, it can be seen that the current drone battery heating control method usually only performs constant temperature heating or heating before takeoff. During the flight of the drone, there is a lack of dynamic heating of the battery according to the actual environmental conditions and the characteristics of the current battery. Overheating or insufficient heating may occur, resulting in a shortened battery life of the drone and reduced safety of the drone during operation, thereby increasing the accident rate of the drone and reducing users' confidence in the company's drones. Summary of the invention

[0006] The purpose of the present invention is to provide a lithium battery heating control method and system for an unmanned aerial vehicle, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides a lithium battery heating control method for a drone, comprising: Step 1. Obtaining basic battery information: Before the drone takes off, obtain the experiment duration from the local database, obtain the model, internal resistance and power consumption of each lithium battery belonging to the drone during the experiment duration, and calculate the discharge rate of each lithium battery belonging to the drone.

[0008] Step 2. Battery status analysis: Obtain the ambient atmospheric pressure and ambient temperature of the drone and analyze the waste degree of each lithium battery in the drone.

[0009] Step 3. Obtaining drone environmental information: Obtain the remaining power of each lithium battery belonging to the drone to determine whether the drone can take off normally. If it cannot take off normally, screen the abnormal lithium batteries belonging to the drone and remind the user to replace the abnormal lithium batteries belonging to the drone. If normal take-off is allowed, after the drone takes off, obtain the drone's altitude at the current monitoring time point and the ambient temperature, internal temperature, and power usage of each lithium battery.

[0010] Step 4. UAV heating analysis: Determine whether the lithium batteries of the drone need to be heated. If heating is required, obtain the allowable altitude of the variable resistance heating element to determine whether the drone's battery can be heated. If the battery cannot be heated, calculate the estimated danger duration of the drone at the current monitoring time point, and warn the user that the drone needs to be recovered in advance. If battery heating is allowed, screen the heated lithium batteries of the drone.

[0011] Step 5. UAV heating treatment: obtain the rated power of the variable resistance heating element, calculate the applicable number of variable resistance heating elements for each heating lithium battery of the UAV at the current monitoring time point, analyze the heating time of the variable resistance heating elements for each heating lithium battery of the UAV at the current monitoring time point, and control the UAV to perform corresponding heating treatment.

[0012] Preferably, the specific calculation method for calculating the discharge rate of each lithium battery belonging to the drone is as follows: based on the power consumption a of each lithium battery belonging to the drone during the experimental duration x , where x represents the serial number of each lithium battery, x = 1, 2, ..., y, y is a positive integer greater than 2, and according to the experimental duration A, calculate the discharge rate of each lithium battery belonging to the drone

[0013] Preferably, the analysis of the waste degree of each lithium battery belonging to the drone is specifically performed by: obtaining the initial internal resistance and initial discharge rate of each type of lithium battery under each temperature and each atmospheric pressure environment from the local database, and mapping the initial internal resistance and initial discharge rate of each lithium battery belonging to the drone under each temperature and each atmospheric pressure environment according to the type of each lithium battery belonging to the drone, and extracting the initial internal resistance b of each lithium battery belonging to the drone according to the ambient atmospheric pressure and ambient temperature of the drone. x , initial discharge rate c x .

[0014] According to the internal resistance d of each lithium battery of the drone x , discharge rate f x , analyze the waste degree of each lithium battery in the drone Where e is a natural constant.

[0015] Preferably, the specific judgment method for judging whether the drone can take off normally is: obtaining the waste degree threshold, the voltage value range of the drone during flight, the voltage values ​​provided by various types of lithium batteries from the local database, and extracting the minimum voltage value of the drone during flight.

[0016] The waste degree of each lithium battery belonging to the drone is compared with the waste degree threshold. If the waste degree of a lithium battery belonging to the drone is greater than the waste degree threshold, the lithium battery is marked as an aged lithium battery, thereby screening the aged lithium batteries belonging to the drone. Otherwise, the lithium battery is marked as a normal lithium battery, thereby screening the normal lithium batteries belonging to the drone.

[0017] According to the models of the lithium batteries of the drone, the models of the normal lithium batteries of the drone are extracted, the provided voltage values ​​of the normal lithium batteries of the drone are mapped, and the total provided voltage value of the normal lithium batteries of the drone is calculated.

[0018] The total voltage value provided by the normal lithium battery of the drone is compared with the minimum voltage value during the flight. If the total voltage value provided by the normal lithium battery of the drone is less than the minimum voltage value during the flight, it is judged that the drone cannot take off normally.

[0019] Preferably, the specific judgment method for judging whether each lithium battery belonging to the drone needs to be heated is: obtaining the suitable operating temperature range of each type of lithium battery from the local database, and extracting the suitable operating temperature range of each type of lithium battery, and mapping the suitable operating temperature range of each lithium battery belonging to the drone according to the model of each lithium battery belonging to the drone, thereby screening the lithium batteries to be analyzed belonging to the drone.

[0020] Obtain the preset unit time T, thermal conductivity, surface area, surface thickness and internal resistance heat generation ratio of each type of lithium battery from the local database, and obtain the model of each lithium battery to be analyzed belonging to the drone according to the model of each lithium battery belonging to the drone, and map to obtain the thermal conductivity q of each lithium battery to be analyzed belonging to the drone i Surface area l i , surface thickness p i The ratio of heat generated by internal resistance z i , where i represents the serial number of each lithium battery to be analyzed, i=1,2,...,j, and j is a positive integer greater than 2.

[0021] According to the ambient temperature, internal temperature, and power usage of each lithium battery of the drone at the current monitoring time point, the ambient temperature g of each lithium battery to be analyzed at the current monitoring time point of the drone is extracted. i 、Internal temperature h i , Use power k i , calculate the heat loss value of each lithium battery to be analyzed in the unit time of the drone And calculate the power heat increase value φ of each lithium battery to be analyzed per unit time i =k i *T*z i .

[0022] The heat transfer heat loss value of each unmanned aerial vehicle's lithium battery to be analyzed within a unit time period is compared with the power heat gain value. If the heat transfer heat loss value of a unmanned aerial vehicle's lithium battery to be analyzed within a unit time period is greater than the power heat gain value, it is judged that the unmanned aerial vehicle's lithium battery to be analyzed needs to be heated; otherwise, it is judged that the unmanned aerial vehicle's lithium battery to be analyzed does not need to be heated.

[0023] Preferably, the calculation method for calculating the estimated duration of danger of the drone at the current monitoring time point is as follows: if a lithium battery to be analyzed belonging to the drone needs to be heated and the battery cannot be heated, the lithium battery to be analyzed is marked as a temperature-depleted lithium battery, thereby screening the temperature-depleted lithium batteries belonging to the drone.

[0024] The dangerous temperature of each type of lithium battery and the heat released to reduce the unit temperature are obtained from the local database. According to the model of each lithium battery belonging to the drone, the model of each temperature-losing lithium battery belonging to the drone is extracted, and the dangerous temperature r of each temperature-losing lithium battery belonging to the drone is mapped. n and the heat required to reduce unit temperature n , where n represents the serial number of each temperature-depleted lithium battery, n=1, 2, ...., m, and m is a positive integer greater than 2.

[0025] According to the internal temperature of each lithium battery belonging to the drone, extract the internal temperature t of each heat-depleted lithium battery belonging to the drone n According to the heat transfer heat loss value and power heat gain value of each lithium battery to be analyzed in the drone per unit time, the heat transfer heat loss value u of each temperature-depleted lithium battery in the drone per unit time is extracted. n and power heat gain w n , calculate the estimated duration of danger of each heat-depleted lithium battery belonging to the drone The shortest estimated duration of danger for the loss of temperature of the drone's lithium battery is screened and used as the estimated duration of danger for the drone at the current monitoring time point.

[0026] Preferably, the applicable number of variable resistance heating elements of each heating lithium battery belonging to the drone at the current monitoring time point is calculated by the following specific calculation method: the heat value R provided by the unit variable resistance heating element per unit time and the heat safety absorption interval of each model of lithium battery per unit time are obtained from the local database; according to the model of each lithium battery belonging to the drone, the heat safety absorption interval of each lithium battery belonging to the drone per unit time is mapped; the maximum value of the heat safety absorption interval of each lithium battery belonging to the drone per unit time is extracted; and the maximum value F of the heat safety absorption interval of each heating lithium battery belonging to the drone per unit time is extracted. N , where N is the serial number of each heated lithium battery, N=1,2,...,M, and M is a positive integer greater than 2.

[0027] According to the heat transfer heat loss value and power heat gain value of each lithium battery to be analyzed in the drone per unit time, the heat transfer heat loss value B of each heating lithium battery in the drone per unit time is extracted. N and power heat gain C N .

[0028] According to the rated power P of the variable resistance heating element, calculate the applicable number of variable resistance heating elements per unit time for each heating lithium battery of the drone at the current monitoring time point in Indicates rounding up.

[0029] Preferably, the analysis of the heating time of the variable resistance heating element of each heating lithium battery belonging to the drone at the current monitoring time point is specifically performed by: obtaining the amount of heat required to increase the unit temperature and the target operating temperature of each type of lithium battery from the local database, extracting the type of each heating lithium battery belonging to the drone according to the type of each lithium battery belonging to the drone, and mapping the amount of heat required to increase the unit temperature H of each heating lithium battery belonging to the drone. N , target operating temperature G N .

[0030] According to the internal temperature of each lithium battery of the drone at the current monitoring time point, extract the internal temperature E of each heated lithium battery of the drone at the current monitoring time point N , analyze the heating time of the variable resistance heating element of each heating lithium battery of the drone at the current monitoring time point

[0031] The second aspect of the present invention provides a lithium battery heating control system for a lithium battery heating control method for an unmanned aerial vehicle, comprising: a battery basic information acquisition module, which is used to obtain the experiment duration from a local database before the unmanned aerial vehicle takes off, obtain the model, internal resistance and power consumption of each lithium battery belonging to the unmanned aerial vehicle during the experiment duration, and calculate the discharge rate of each lithium battery belonging to the unmanned aerial vehicle.

[0032] The battery status analysis module is used to obtain the ambient atmospheric pressure and ambient temperature of the drone and analyze the waste degree of each lithium battery belonging to the drone.

[0033] The drone environment information acquisition module is used to obtain the remaining power of each lithium battery belonging to the drone and determine whether the drone can take off normally. If it cannot take off normally, the abnormal lithium batteries belonging to the drone will be screened and the user will be reminded to replace the abnormal lithium batteries belonging to the drone. If normal take-off is allowed, after the drone takes off, the altitude of the drone at the current monitoring time point and the ambient temperature, internal temperature, and power usage of each lithium battery belonging to the drone will be obtained.

[0034] The drone heating analysis module is used to determine whether the lithium batteries belonging to the drone need to be heated. If heating is required, the allowable altitude of the variable resistance heating element is obtained to determine whether the drone's battery can be heated. If the battery cannot be heated, the estimated danger duration of the drone at the current monitoring time point is calculated, and the user is warned that the drone needs to be recovered in advance. If battery heating is allowed, the heated lithium batteries belonging to the drone are screened.

[0035] The drone heating processing module is used to obtain the rated power of the variable resistance heating element, calculate the applicable number of variable resistance heating elements for each heating lithium battery of the drone at the current monitoring time point, analyze the heating time of the variable resistance heating elements for each heating lithium battery of the drone at the current monitoring time point, and control the drone to perform corresponding heating processing.

[0036] The beneficial effects of the present invention are as follows: (1) Step 1 of the present invention obtains basic battery information, analyzes and obtains basic information of each lithium battery belonging to the drone, and facilitates subsequent analysis of the battery's waste degree.

[0037] (2) Step 2 of the present invention: Battery status analysis is performed before the drone takes off to determine whether the drone can take off normally. This prevents the drone from crashing during flight due to the sudden failure of the lithium batteries to supply power due to aging of the lithium batteries, thereby ensuring the safety of the drone.

[0038] (3) Step 3 of the present invention obtains the drone environment information to determine whether the drone can take off normally. If it can take off normally, the information of the drone at the current monitoring time point is obtained to facilitate subsequent analysis.

[0039] (4) Step 4 of the present invention is to analyze the heating of the drone, determine whether the lithium batteries of the drone need to be heated, and determine whether the batteries of the drone can be heated. If heating is required and battery heating is not allowed, the estimated duration of danger of the drone at the current monitoring time point is calculated, and the user is reminded to recover the drone in advance to prevent the drone from crashing due to the inability to heat the batteries, thereby improving the safety of the drone.

[0040] (5) Step 5 of the present invention, the drone heating treatment, is used to perform dynamic heating to prevent overheating or underheating, thereby increasing the life of the drone's lithium battery, thereby reducing the accident rate of the drone and increasing users' confidence in the company's drones. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0043] Figure 2 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Reference Figure 1 As shown, the first aspect of the present invention provides a lithium battery heating control method for a drone, comprising: Step 1. Obtaining basic battery information: Before the drone takes off, obtain the experiment duration from the local database, obtain the model, internal resistance and power consumption of each lithium battery belonging to the drone during the experiment duration, and calculate the discharge rate of each lithium battery belonging to the drone.

[0046] It should be noted that the local database is used to store the experiment duration, the initial internal resistance of each type of lithium battery under each temperature and atmospheric pressure environment, the initial discharge rate, the waste threshold, the voltage value range of the drone during flight, the voltage value provided by each type of lithium battery, the allowable altitude of the variable resistance heating element, the suitable working temperature range of each type of lithium battery, the preset unit time, the thermal conductivity, surface area, surface thickness and internal resistance heat generation ratio of each type of lithium battery, the dangerous temperature of each type of lithium battery and the heat released by lowering the unit temperature, the heat value provided by the unit variable resistance heating element within the unit time, the heat safety absorption range of each type of lithium battery within the unit time, the heat required to absorb each type of lithium battery to increase the unit temperature, and the target working temperature.

[0047] In a specific embodiment, the model, internal resistance and power consumption of each lithium battery belonging to the drone during the experiment are obtained by applying to the user, and the user manually enters the model of each lithium battery belonging to the drone, and measures the internal resistance of each lithium battery belonging to the drone by a dual resistance method. The drone operates normally during the experiment, and the power consumption of each lithium battery belonging to the drone during this time period is obtained, so that the power consumption of each lithium battery belonging to the drone during the experiment can be obtained.

[0048] In a specific embodiment of the present invention, the specific calculation method for calculating the discharge rate of each lithium battery belonging to the drone is as follows: based on the power consumption a of each lithium battery belonging to the drone during the experimental duration. x , where x represents the serial number of each lithium battery, x = 1, 2, ..., y, y is a positive integer greater than 2, and according to the experimental duration A, calculate the discharge rate of each lithium battery belonging to the drone

[0049] Step 1 of the present invention is to obtain basic information of the battery, analyze and obtain basic information of each lithium battery belonging to the drone, so as to facilitate subsequent analysis of the waste degree of the battery.

[0050] Step 2. Battery status analysis: Obtain the ambient atmospheric pressure and ambient temperature of the drone and analyze the waste degree of each lithium battery in the drone.

[0051] In a specific embodiment of the present invention, the waste degree of each lithium battery belonging to the drone is analyzed, and the specific analysis method is: obtaining the initial internal resistance and initial discharge rate of each type of lithium battery under each temperature and each atmospheric pressure environment from the local database, and mapping the initial internal resistance and initial discharge rate of each lithium battery belonging to the drone under each temperature and each atmospheric pressure environment according to the model of each lithium battery belonging to the drone, and extracting the initial internal resistance b of each lithium battery belonging to the drone according to the ambient atmospheric pressure and ambient temperature of the drone. x , initial discharge rate c x .

[0052] According to the internal resistance d of each lithium battery of the drone x , discharge rate f x , analyze the waste degree of each lithium battery in the drone Where e is a natural constant.

[0053] Step 2 of the present invention analyzes the battery status. Before the drone takes off, the waste degree of each lithium battery belonging to the drone is analyzed to determine whether the drone can take off normally, prevent the aging of the lithium batteries belonging to the drone, and prevent the drone from crashing during flight due to sudden failure of the lithium batteries to supply power, thereby ensuring the safety of the drone.

[0054] Step 3. Obtaining drone environmental information: Obtain the remaining power of each lithium battery belonging to the drone to determine whether the drone can take off normally. If it cannot take off normally, screen the abnormal lithium batteries belonging to the drone and remind the user to replace the abnormal lithium batteries belonging to the drone. If normal take-off is allowed, after the drone takes off, obtain the drone's altitude at the current monitoring time point and the ambient temperature, internal temperature, and power usage of each lithium battery.

[0055] In a specific embodiment of the present invention, the specific judgment method for determining whether the drone can take off normally is as follows: obtaining the waste threshold, the voltage value range of the drone during flight, and the voltage values ​​provided by various types of lithium batteries from a local database, and extracting the minimum voltage value of the drone during flight.

[0056] The waste degree of each lithium battery belonging to the drone is compared with the waste degree threshold. If the waste degree of a lithium battery belonging to the drone is greater than the waste degree threshold, the lithium battery is marked as an aged lithium battery, thereby screening the aged lithium batteries belonging to the drone. Otherwise, the lithium battery is marked as a normal lithium battery, thereby screening the normal lithium batteries belonging to the drone.

[0057] According to the models of the lithium batteries of the drone, the models of the normal lithium batteries of the drone are extracted, the provided voltage values ​​of the normal lithium batteries of the drone are mapped, and the total provided voltage value of the normal lithium batteries of the drone is calculated.

[0058] The total voltage value provided by the normal lithium battery of the drone is compared with the minimum voltage value during the flight. If the total voltage value provided by the normal lithium battery of the drone is less than the minimum voltage value during the flight, it is judged that the drone cannot take off normally.

[0059] In a specific embodiment, the abnormal lithium batteries belonging to the drone are screened by a specific screening method: marking the aged lithium batteries belonging to the drone as abnormal lithium batteries.

[0060] In a specific embodiment, the altitude of the drone at the current monitoring time point and the ambient temperature, internal temperature, and power usage of each lithium battery belonging to the drone are obtained, and the specific acquisition method is: obtaining the ambient temperature of each lithium battery belonging to the drone at the current monitoring time point through a temperature sensor, obtaining the internal temperature of each lithium battery belonging to the drone at the current monitoring time point through an infrared temperature detector, obtaining the altitude of the drone at the current monitoring time point through an altitude measuring instrument, and obtaining the power usage of each lithium battery belonging to the drone at the current monitoring time point through a power sensor built into the drone.

[0061] Step 3 of the present invention is to obtain the environmental information of the UAV and determine whether the UAV can take off normally. If the UAV can take off normally, the information of the UAV at the current monitoring time point is obtained to facilitate subsequent analysis.

[0062] Step 4. UAV heating analysis: Determine whether the lithium batteries of the drone need to be heated. If heating is required, obtain the allowable altitude of the variable resistance heating element to determine whether the drone's battery can be heated. If the battery cannot be heated, calculate the estimated danger duration of the drone at the current monitoring time point, and warn the user that the drone needs to be recovered in advance. If battery heating is allowed, screen the heated lithium batteries of the drone.

[0063] In a specific embodiment, the method for obtaining the allowable altitude of the variable resistance heating element is as follows: obtaining the allowable altitude of the variable resistance heating element from a local database.

[0064] In a specific embodiment of the present invention, the specific judgment method for judging whether each lithium battery belonging to the drone needs to be heated is as follows: obtaining the suitable operating temperature range of each type of lithium battery from a local database, and extracting the suitable operating temperature range of each type of lithium battery, and mapping the suitable operating temperature range of each lithium battery belonging to the drone according to the model of each lithium battery belonging to the drone, thereby screening the lithium batteries to be analyzed belonging to the drone.

[0065] In a specific embodiment, the specific screening method for screening the lithium batteries to be analyzed belonging to the drone is: comparing the ambient temperature of each lithium battery belonging to the drone at the current monitoring time point with the internal temperature; if the ambient temperature of a lithium battery belonging to the drone at the current monitoring time point is lower than the internal temperature, then comparing the internal temperature of the lithium battery belonging to the drone with the minimum value of the suitable working temperature range; if the internal temperature of the lithium battery belonging to the drone is lower than the minimum value of the suitable working temperature range, then marking the lithium battery as a lithium battery to be analyzed, thereby screening the lithium batteries to be analyzed belonging to the drone.

[0066] Obtain the preset unit time T, thermal conductivity, surface area, surface thickness and internal resistance heat generation ratio of each type of lithium battery from the local database, and obtain the model of each lithium battery to be analyzed belonging to the drone according to the model of each lithium battery belonging to the drone, and map to obtain the thermal conductivity q of each lithium battery to be analyzed belonging to the drone i , surface area l i , surface thickness p i The ratio of heat generated by internal resistance z i , where i represents the serial number of each lithium battery to be analyzed, i=1,2,...,j, and j is a positive integer greater than 2.

[0067] According to the ambient temperature, internal temperature, and power usage of each lithium battery of the drone at the current monitoring time point, the ambient temperature g of each lithium battery to be analyzed at the current monitoring time point of the drone is extracted. i 、Internal temperature h i 、Used power k i , calculate the heat loss value of each lithium battery to be analyzed in the unit time of the drone And calculate the power heat increase value φ of each lithium battery to be analyzed per unit time i =k i *T*z i .

[0068] The heat transfer heat loss value of each unmanned aerial vehicle's lithium battery to be analyzed within a unit time period is compared with the power heat gain value. If the heat transfer heat loss value of a unmanned aerial vehicle's lithium battery to be analyzed within a unit time period is greater than the power heat gain value, it is judged that the unmanned aerial vehicle's lithium battery to be analyzed needs to be heated; otherwise, it is judged that the unmanned aerial vehicle's lithium battery to be analyzed does not need to be heated.

[0069] In a specific embodiment, the method for determining whether the battery of the drone can be heated is as follows: comparing the allowable altitude of the variable resistance heating element with the altitude of the drone at the current monitoring time point; if the altitude of the drone at the current monitoring time point is greater than the allowable altitude of the variable resistance heating element, it is determined that the battery of the drone cannot be heated.

[0070] In a specific embodiment of the present invention, the calculation method for calculating the expected duration of danger of the drone at the current monitoring time point is as follows: if a lithium battery to be analyzed belonging to the drone needs to be heated and the battery cannot be heated, the lithium battery to be analyzed is marked as a temperature-depleted lithium battery, thereby screening the temperature-depleted lithium batteries belonging to the drone.

[0071] The dangerous temperature of each type of lithium battery and the heat released to reduce the unit temperature are obtained from the local database. According to the model of each lithium battery belonging to the drone, the model of each temperature-losing lithium battery belonging to the drone is extracted, and the dangerous temperature r of each temperature-losing lithium battery belonging to the drone is mapped. n and the heat required to reduce unit temperature n , where n represents the serial number of each temperature-depleted lithium battery, n=1, 2, ...., m, and m is a positive integer greater than 2.

[0072] According to the internal temperature of each lithium battery belonging to the drone, extract the internal temperature t of each heat-depleted lithium battery belonging to the drone n According to the heat transfer heat loss value and power heat gain value of each lithium battery to be analyzed in the drone per unit time, the heat transfer heat loss value u of each temperature-depleted lithium battery in the drone per unit time is extracted. n and power heat gain w n , calculate the estimated duration of danger of each heat-depleted lithium battery belonging to the drone The shortest estimated duration of danger for the loss of temperature of the drone's lithium battery is screened and used as the estimated duration of danger for the drone at the current monitoring time point.

[0073] In a specific embodiment, the heating lithium batteries belonging to the drone are screened by a specific screening method: if a lithium battery belonging to the drone allows battery heating and needs to be heated, the lithium battery is marked as a heating lithium battery, thereby screening the heating lithium batteries belonging to the drone.

[0074] Step 4 of the present invention performs heating analysis on the drone to determine whether the lithium batteries of the drone need to be heated and whether the batteries of the drone can be heated. If heating is required and battery heating is not allowed, the estimated danger duration of the drone at the current monitoring time point is calculated to remind the user to recover the drone in advance to prevent the drone from crashing due to failure to heat the batteries, thereby improving the safety of the drone.

[0075] Step 5. UAV heating treatment: obtain the rated power of the variable resistance heating element, calculate the applicable number of variable resistance heating elements for each heating lithium battery of the UAV at the current monitoring time point, analyze the heating time of the variable resistance heating elements for each heating lithium battery of the UAV at the current monitoring time point, and control the UAV to perform corresponding heating treatment.

[0076] In a specific embodiment of the present invention, the applicable number of variable resistance heating elements of each heating lithium battery belonging to the drone at the current monitoring time point is calculated, and the specific calculation method is: obtain the heat value R provided by the unit variable resistance heating element per unit time, and the heat safety absorption interval of each model of lithium battery per unit time from the local database, and map the heat safety absorption interval of each lithium battery belonging to the drone per unit time according to the model of each lithium battery belonging to the drone, extract the maximum value of the heat safety absorption interval of each lithium battery belonging to the drone per unit time, and extract the maximum value F of the heat safety absorption interval of each heating lithium battery belonging to the drone per unit time. N , where N is the serial number of each heated lithium battery, N=1,2,...,M, and M is a positive integer greater than 2.

[0077] According to the heat transfer heat loss value and power heat gain value of each lithium battery to be analyzed in the drone per unit time, the heat transfer heat loss value B of each heating lithium battery in the drone per unit time is extracted. N and power heat gain C N .

[0078] According to the rated power P of the variable resistance heating element, calculate the applicable number of variable resistance heating elements per unit time for each heating lithium battery of the drone at the current monitoring time point in Indicates rounding up.

[0079] In a specific embodiment of the present invention, the heating time of the variable resistance heating element of each heating lithium battery belonging to the drone at the current monitoring time point is analyzed, and the specific analysis method is: the absorption heat required to increase the unit temperature and the target operating temperature of each model of lithium battery are obtained from the local database, and the model of each heating lithium battery belonging to the drone is extracted according to the model of each lithium battery belonging to the drone, and the absorption heat required to increase the unit temperature of each heating lithium battery belonging to the drone is mapped.N , target operating temperature G N .

[0080] According to the internal temperature of each lithium battery of the drone at the current monitoring time point, extract the internal temperature E of each heated lithium battery of the drone at the current monitoring time point N , analyze the heating time of the variable resistance heating element of each heating lithium battery of the drone at the current monitoring time point

[0081] In a specific embodiment, the controlled drone performs corresponding heating treatment, and its specific treatment method is: use the applicable number of variable resistance heating elements of each heating lithium battery belonging to the drone at the current monitoring time point for heating, and heat the variable resistance heating elements of each heating lithium battery belonging to the drone at the current monitoring time point for the heating time.

[0082] Step 5 of the present invention, the drone heating treatment, is used to perform dynamic heating to prevent overheating or underheating, thereby increasing the life of the drone's lithium battery, thereby reducing the accident rate of the drone and increasing users' confidence in the company's drones.

[0083] Reference Figure 2 As shown, the second aspect of the present invention provides a lithium battery heating control system for a lithium battery heating control method for an unmanned aerial vehicle, comprising: a battery basic information acquisition module, a battery status analysis module, a unmanned aerial vehicle environmental information acquisition module, a unmanned aerial vehicle heating analysis module, a unmanned aerial vehicle heating processing module and a local database.

[0084] It should be noted that the battery basic information acquisition module is connected to the battery status analysis module, the battery status analysis module is connected to the UAV environment information acquisition module, the UAV heating analysis module is connected to the UAV environment information acquisition module, the UAV heating analysis module is connected to the UAV heating treatment module, and the local database is connected to the battery basic information acquisition module, the battery status analysis module, the UAV environment information acquisition module, the UAV heating analysis module, and the UAV heating treatment module.

[0085] The battery basic information acquisition module is used to obtain the experiment duration from the local database before the drone takes off, obtain the model, internal resistance and power consumption of each lithium battery belonging to the drone during the experiment duration, and calculate the discharge rate of each lithium battery belonging to the drone.

[0086] The battery status analysis module is used to obtain the ambient atmospheric pressure and ambient temperature of the drone and analyze the waste degree of each lithium battery belonging to the drone.

[0087] The drone environment information acquisition module is used to obtain the remaining power of each lithium battery belonging to the drone, determine whether the drone can take off normally, and if it cannot take off normally, screen the abnormal lithium batteries belonging to the drone and remind the user to replace the abnormal lithium batteries belonging to the drone. If normal take-off is allowed, after the drone takes off, the altitude of the drone at the current monitoring time point and the ambient temperature, internal temperature, and power usage of each lithium battery belonging to the drone are obtained.

[0088] The drone heating analysis module is used to determine whether the lithium batteries belonging to the drone need to be heated. If heating is required, the allowable altitude of the variable resistance heating element is obtained to determine whether the drone battery can be heated. If the battery cannot be heated, the estimated danger duration of the drone at the current monitoring time point is calculated, and the user is warned that the drone needs to be recovered in advance. If battery heating is allowed, the heated lithium batteries belonging to the drone are screened.

[0089] The drone heating processing module is used to obtain the rated power of the variable resistance heating element, calculate the applicable number of variable resistance heating elements for each heating lithium battery belonging to the drone at the current monitoring time point, analyze the heating time of the variable resistance heating elements for each heating lithium battery belonging to the drone at the current monitoring time point, and control the drone to perform corresponding heating processing.

[0090] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A lithium battery heating control method for an unmanned aerial vehicle, characterized in that: include: Step 1. Obtain basic battery information: Before the drone takes off, obtain the experiment duration from the local database, obtain the model, internal resistance and power consumption of each lithium battery belonging to the drone during the experiment, and calculate the discharge rate of each lithium battery belonging to the drone; Step 2. Battery status analysis: Obtain the ambient atmospheric pressure and ambient temperature of the drone and analyze the waste degree of each lithium battery in the drone; Step 3. Obtaining drone environmental information: Obtain the remaining power of each lithium battery of the drone to determine whether the drone can take off normally. If the drone cannot take off normally, screen the abnormal lithium batteries of the drone and remind the user to replace the abnormal lithium batteries of the drone. If the drone is allowed to take off normally, after the drone takes off, obtain the altitude of the drone at the current monitoring time point and the ambient temperature, internal temperature, and power usage of each lithium battery; Step 4. UAV heating analysis: determine whether the lithium batteries of the drone need to be heated. If heating is required, obtain the allowable altitude of the variable resistance heating element to determine whether the drone battery can be heated. If the battery cannot be heated, calculate the estimated danger duration of the drone at the current monitoring time point, and warn the user that the drone needs to be recovered in advance. If battery heating is allowed, screen the heating lithium batteries of the drone. The specific method for judging whether each lithium battery of the drone needs to be heated is as follows: Obtain the suitable operating temperature range of each type of lithium battery from the local database, and extract the suitable operating temperature range of each type of lithium battery. According to the model of each lithium battery belonging to the drone, map the suitable operating temperature range of each lithium battery belonging to the drone, so as to screen the lithium batteries to be analyzed belonging to the drone; Obtain the preset unit time T, thermal conductivity, surface area, surface thickness and internal resistance heat ratio of each type of lithium battery from the local database, and obtain the model of each lithium battery to be analyzed belonging to the drone according to the model of each lithium battery belonging to the drone, and map the thermal conductivity of each lithium battery to be analyzed belonging to the drone , surface area , surface thickness The ratio of heat generated by internal resistance , where i represents the serial number of each lithium battery to be analyzed, , j is a positive integer greater than 2; According to the ambient temperature, internal temperature, and power usage of each lithium battery of the drone at the current monitoring time point, extract the ambient temperature of each lithium battery to be analyzed at the current monitoring time point of the drone , internal temperature , Power usage , calculate the heat loss value of each lithium battery to be analyzed in the unit time of the drone , and calculate the power heat gain value of each lithium battery to be analyzed per unit time. ; The heat loss value of heat transfer of each unmanned aerial vehicle's ... Step 5. UAV heating treatment: obtain the rated power of the variable resistance heating element, calculate the applicable number of variable resistance heating elements for each heating lithium battery of the UAV at the current monitoring time point, analyze the heating time of the variable resistance heating elements for each heating lithium battery of the UAV at the current monitoring time point, and control the UAV to perform corresponding heating treatment.

2. A lithium battery heating control method for a drone according to claim 1, characterized in that: The specific calculation method for calculating the discharge rate of each lithium battery belonging to the drone is as follows: According to the power consumption of each lithium battery of the drone during the experiment , where x represents the serial number of each lithium battery, , y is a positive integer greater than 2, and according to the experimental duration A, the discharge rate of each lithium battery belonging to the drone is calculated .

3. A lithium battery heating control method for a drone according to claim 2, characterized in that: The specific analysis method for analyzing the waste degree of each lithium battery belonging to the drone is as follows: Obtain the initial internal resistance and initial discharge rate of each type of lithium battery at each temperature and atmospheric pressure environment from the local database, and map the initial internal resistance and initial discharge rate of each lithium battery belonging to the drone at each temperature and atmospheric pressure environment according to the model of each lithium battery belonging to the drone, and extract the initial internal resistance of each lithium battery belonging to the drone according to the ambient atmospheric pressure and ambient temperature of the drone , initial discharge rate ; According to the internal resistance of each lithium battery of the drone , discharge rate , analyze the waste degree of each lithium battery in the drone , where e is a natural constant.

4. The lithium battery heating control method for a drone according to claim 1, characterized in that: The specific method for judging whether the drone can take off normally is as follows: Obtain the waste threshold, the voltage range of the drone during flight, and the voltage provided by each type of lithium battery from the local database, and extract the minimum voltage value of the drone during flight; The waste degree of each lithium battery belonging to the drone is compared with the waste degree threshold. If the waste degree of a lithium battery belonging to the drone is greater than the waste degree threshold, the lithium battery is marked as an aged lithium battery, thereby screening the aged lithium batteries belonging to the drone. Otherwise, the lithium battery is marked as a normal lithium battery, thereby screening the normal lithium batteries belonging to the drone. According to the models of the lithium batteries of the drone, the models of the normal lithium batteries of the drone are extracted, the provided voltage values ​​of the normal lithium batteries of the drone are mapped, and the total provided voltage value of the normal lithium batteries of the drone is calculated; The total voltage value provided by the normal lithium battery of the drone is compared with the minimum voltage value during the flight. If the total voltage value provided by the normal lithium battery of the drone is less than the minimum voltage value during the flight, it is judged that the drone cannot take off normally.

5. The lithium battery heating control method for a drone according to claim 1, characterized in that: The specific calculation method for calculating the estimated duration of danger of the drone at the current monitoring time point is: If a lithium battery to be analyzed belonging to the drone needs to be heated, and the battery cannot be heated, the lithium battery to be analyzed is marked as a temperature-depleted lithium battery, thereby screening the temperature-depleted lithium batteries belonging to the drone; The dangerous temperature of each type of lithium battery and the heat required to reduce the unit temperature are obtained from the local database. According to the model of each lithium battery belonging to the drone, the model of each temperature-losing lithium battery belonging to the drone is extracted, and the dangerous temperature of each temperature-losing lithium battery belonging to the drone is mapped. and the amount of heat required to reduce unit temperature , where n represents the serial number of each temperature-losing lithium battery, , m is a positive integer greater than 2; According to the internal temperature of each lithium battery belonging to the drone, extract the internal temperature of each heat-depleted lithium battery belonging to the drone According to the heat transfer heat loss value and power heat gain value of each lithium battery to be analyzed in the drone per unit time, the heat transfer heat loss value of each temperature-depleted lithium battery in the drone per unit time is extracted. and power heat gain , calculate the estimated duration of danger of each heat-depleted lithium battery belonging to the drone , screen the shortest estimated duration of danger of the heat-depleted lithium battery belonging to the drone, and use it as the estimated duration of danger for the drone at the current monitoring time point.

6. A lithium battery heating control method for a drone according to claim 1, characterized in that: The specific calculation method for calculating the applicable number of variable resistance heating elements of each heating lithium battery belonging to the drone at the current monitoring time point is: Obtain the heat value R provided by the unit variable resistance heating element per unit time and the heat safety absorption range of each type of lithium battery per unit time from the local database. According to the model of each lithium battery belonging to the drone, map the heat safety absorption range of each lithium battery belonging to the drone per unit time, extract the maximum value of the heat safety absorption range of each lithium battery belonging to the drone per unit time, and extract the maximum value of the heat safety absorption range of each heating lithium battery belonging to the drone per unit time. , where N is the serial number of each heated lithium battery, , M is a positive integer greater than 2; According to the heat transfer heat loss value and power heat gain value of each lithium battery to be analyzed in the drone per unit time, the heat transfer heat loss value of each heating lithium battery in the drone per unit time is extracted. and power heat gain ; According to the rated power P of the variable resistance heating element, calculate the applicable number of variable resistance heating elements per unit time for each heating lithium battery of the drone at the current monitoring time point ,in Indicates rounding up.

7. A lithium battery heating control method for a drone according to claim 6, characterized in that: The specific analysis method of analyzing the heating time of the variable resistance heating element of each heating lithium battery belonging to the drone at the current monitoring time point is as follows: Obtain the heat required to increase the unit temperature and target operating temperature of each type of lithium battery from the local database. According to the model of each lithium battery belonging to the drone, extract the model of each heating lithium battery belonging to the drone, and map the heat required to increase the unit temperature of each heating lithium battery belonging to the drone. , Target operating temperature ; According to the internal temperature of each lithium battery of the drone at the current monitoring time point, extract the internal temperature of each heated lithium battery of the drone at the current monitoring time point , analyze the heating time of the variable resistance heating element of each heating lithium battery of the drone at the current monitoring time point .

8. A lithium battery heating control system for executing the lithium battery heating control method for an unmanned aerial vehicle according to any one of claims 1 to 7, characterized in that: include: The battery basic information acquisition module is used to obtain the experiment duration from the local database before the drone takes off, obtain the model, internal resistance and power consumption of each lithium battery belonging to the drone during the experiment, and calculate the discharge rate of each lithium battery belonging to the drone; The battery status analysis module is used to obtain the ambient atmospheric pressure and ambient temperature of the drone and analyze the waste degree of each lithium battery in the drone; The drone environment information acquisition module is used to obtain the remaining power of each lithium battery of the drone, determine whether the drone can take off normally, and if it cannot take off normally, screen the abnormal lithium batteries of the drone and remind the user to replace the abnormal lithium batteries of the drone. If the drone is allowed to take off normally, after the drone takes off, obtain the altitude of the drone at the current monitoring time point and the ambient temperature, internal temperature, and power usage of each lithium battery; The drone heating analysis module is used to determine whether the drone's lithium batteries need to be heated. If heating is required, the allowable altitude of the variable resistance heating element is obtained to determine whether the drone's batteries can be heated. If the batteries cannot be heated, the estimated danger duration of the drone at the current monitoring time point is calculated, and the user is warned that the drone needs to be recovered in advance. If battery heating is allowed, the heating lithium batteries of the drone are screened. The drone heating processing module is used to obtain the rated power of the variable resistance heating element, calculate the applicable number of variable resistance heating elements for each heating lithium battery of the drone at the current monitoring time point, analyze the heating time of the variable resistance heating elements for each heating lithium battery of the drone at the current monitoring time point, and control the drone to perform corresponding heating processing.

Images