Method and device for detecting health state of battery

Abstract

In the embodiment of the invention, the invention provides a method and device for detecting the health state of a battery, and the method comprises the steps: obtaining at least two groups of charging and discharging test data with the same model as a to-be-detected unmanned aerial vehicle battery, and generating a cycle index specific gravity, a production date specific gravity and a battery actual capacity specific gravity according to the charging and discharging test data; according to the cycle index proportion, the production date proportion, the battery actual capacity proportion and the to-be-tested unmanned aerial vehicle battery data, the health state is generated, and the health state comprises qualification and disqualification. According to the method, the health state of the unmanned aerial vehicle battery is further obtained by obtaining the characteristic proportion of the battery, charging and discharging tests are carried out on the battery through professional battery monitoring equipment, and a battery health state evaluation formula model is obtained through summarization. And establishing communication with the battery, acquiring key information of the battery, and calculating the health state of the battery through a battery health state evaluation formula model after the detector acquires the information of the battery.

Description

Technical Field

[0001] The present invention relates to the industrial field, and in particular to a method and a device for detecting the health status of a battery. Background Art

[0002] With the development of drone applications, the application scenarios of drones in various industries are becoming more diversified and professional, and the demand for drones is also increasing. As a result, the use of drone batteries is becoming more frequent and the usage is also increasing. As the power supply module of the drone, the health status of the battery is related to the flight safety of the drone.

[0003] At present, various industries have not formed a standard management method for the use and maintenance of drone batteries. There is no device on the market for health testing of drone batteries. The health status of the battery is judged by physical observation of whether the battery hardware is damaged or bulging.

[0004] Although this method can also be used as one of the bases for the health status of the battery, it is easy to misjudge the health status of the battery based solely on the physical appearance. The appearance of the battery may look intact, but in fact changes have occurred inside, such as battery aging and internal short circuits. Summary of the invention

[0005] In view of the above problems, the present application is proposed to provide a method and device for detecting the health status of a battery that overcomes the above problems or at least partially solves the above problems, including:

[0006] A method for detecting the health status of a battery, the method being used to detect whether the health status of a battery of a drone to be tested is qualified, comprising:

[0007] Obtain at least two sets of charge and discharge test data of the same model as the battery of the drone to be tested, and generate the cycle number ratio, production date ratio and battery actual capacity ratio respectively according to the charge and discharge test data;

[0008] A health status is generated according to the cycle number ratio, the production date ratio, the battery actual capacity ratio and the battery data of the drone to be tested, wherein the health status includes qualified and unqualified.

[0009] Preferably, the charge and discharge test data includes battery cycle test data, battery date test data and battery capacity test data; the step of generating the cycle number proportion, the production date proportion and the battery actual capacity proportion respectively according to the charge and discharge test data includes:

[0010] Obtain battery cycle test data of the same model and same production date as the battery of the drone to be tested but with different cycle times, and generate a cycle number ratio based on the battery cycle test data;

[0011] Obtain battery date test data of the same model as the battery of the drone to be tested, with the same number of cycles but different production dates, and generate a production date proportion based on the battery date test data;

[0012] Obtain battery capacity test data of the same model, same factory date and same cycle number as the battery of the drone to be tested, and generate the actual capacity specific gravity of the battery based on the battery capacity test data.

[0013] Preferably, the step of generating the cycle number ratio according to the battery cycle test data comprises:

[0014] The battery cycle test data is averaged to generate a cycle number ratio.

[0015] Preferably, the battery data of the drone to be tested includes the rated capacity of the battery of the drone to be tested and the actual capacity of the battery tested of the drone to be tested; the step of generating the health status according to the cycle number ratio, the production date ratio, the actual battery capacity ratio and the drone to be tested battery data includes:

[0016] Obtaining a first score according to the cycle number ratio;

[0017] Obtaining a second score according to the production date proportion;

[0018] The third score is obtained according to the rated battery capacity of the drone battery under test, the actual battery capacity of the drone battery under test, and the proportion of the actual battery capacity;

[0019] The health status of the battery data of the drone to be tested is generated based on the first score, the second score and the third score.

[0020] Preferably, the step of obtaining the battery data of the drone to be tested and generating a health status according to the first score, the second score and the third score comprises:

[0021] Adding the first score, the second score and the third score to obtain a total score;

[0022] If the total score is greater than or equal to the preset score, the health status is qualified;

[0023] If the total score is less than the preset score, the health status is unqualified.

[0024] To implement the present application, a device for detecting the health status of a battery is also included, and the device is used to detect whether the health status of the battery of the drone to be tested is qualified, including a detection box;

[0025] The top of the detection box is provided with a battery slot for batteries of different models; the inside of the detection box is provided with a circuit board for detecting and obtaining battery data of different drones to be tested.

[0026] Preferably, the circuit board includes a first interface board, a second interface board and a third interface board;

[0027] The first interface board, the second interface board and the third interface board are arranged side by side.

[0028] Preferably, the detection box and a tester are provided with a display;

[0029] A fourth development board for connecting to a display is arranged in the detection box.

[0030] To implement the present application, an electronic device is also included, including a processor, a memory, and a computer program stored in the memory and capable of running on the processor, and when the computer program is executed by the processor, the steps of the method for detecting the battery health status as described are implemented.

[0031] To implement the present application, a computer-readable storage medium is also included, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for detecting the battery health status are implemented.

[0032] This application has the following advantages:

[0033] In the embodiments of the present application, in response to the prior art problem of "using physical observation to see if the battery hardware is damaged or bulging to judge the health status of the battery, which is prone to misjudgment", the present application provides a solution of "multiple comprehensive tests, combined with the actual front-line operation of the drone battery, summarizing the factors affecting the health status of the battery, and summarizing them into an evaluation model to more quickly, efficiently and accurately evaluate the actual health status of the battery". Specifically, at least two groups of charge and discharge test data of the same model as the drone battery to be tested are obtained, and the cycle number ratio, production date ratio and battery actual capacity ratio are respectively generated according to the charge and discharge test data; the health status is generated according to the cycle number ratio, the production date ratio and the battery actual capacity ratio and the drone battery data to be tested, wherein the health status includes qualified and unqualified. This application obtains the health status of the drone battery by obtaining the battery characteristic ratio, and solves the problem of "using physical observation of whether the battery hardware is damaged or bulging to judge the health status of the battery, which is easy to cause misjudgment" by "summarizing the various factors that affect the health status of the battery and summarizing them into an evaluation model to evaluate the actual health status of the battery more quickly, efficiently and accurately". This application uses battery monitoring equipment to perform charge and discharge tests on the battery. After long-term and multiple monitoring, the application observes the influence of various battery parameters, battery cell voltage, maximum capacity, nominal capacity, number of cycles, production date, etc. on the battery status, and summarizes the battery health status evaluation formula model. Establish communication with the battery to obtain key battery information, such as: battery cell voltage, maximum capacity, nominal capacity, number of cycles, production date, etc. After the detector obtains the battery information, it calculates the battery health status through the battery health status evaluation formula model; and the calculation results can be displayed on the terminal for easy viewing. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the description of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0035] Figure 1 is a flowchart of a method for detecting a battery health status provided by an embodiment of the present application;

[0036] Figure 2 It is a structural block diagram of a device for detecting the health status of a battery provided by an embodiment of the present application;

[0037] Figure 3 This is a block diagram of the internal structure of a device for detecting the health status of a battery provided in an embodiment of the present application;

[0038] Figure 4 It is a structural schematic diagram of a system for detecting battery health status provided by an embodiment of the present application;

[0039] Figure 5 It is a structural schematic diagram of a computer device provided by an embodiment of the present invention.

[0040] 1. Detection box; 2. Battery of the drone to be tested; 3. Display; 4. First interface board; 5. Second interface board; 6. Third interface board; 7. Fourth development board; 12. Computer equipment; 14. External device; 16. Processing unit; 18. Bus; 20. Network adapter; 22. I / O interface; 24. Display; 28. Memory; 30. Random access memory; 32. Cache memory; 34. Storage system; 40. Program / utility; 42. Program module. DETAILED DESCRIPTION

[0041] In order to make the objects, features and advantages of the present application more obvious and understandable, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0042] Technical background: With the development of drone applications, the application scenarios of drones in various industries are becoming more and more diversified and specialized, and the demand for drones is also increasing. As a result, the use of drone batteries is becoming more frequent and the usage is also increasing. As the power supply module of drones, the health status of batteries is related to the flight safety of drones. However, at present, various industries have not formed standard management methods for the use and maintenance of drone batteries, and there is no device on the market for health detection of drone batteries. The health status of batteries is still judged by physical observation of whether the battery hardware is damaged or bulging. Although this method can also be used as one of the bases for battery health status, the health status of drone batteries requires more multi-dimensional considerations for evaluation. It is easy to misjudge the health status of batteries based solely on physical appearance. The results of this equipment are long-term and multiple comprehensive tests. Combined with the actual front-line operation of drone batteries, the factors affecting the health status of batteries are summarized and summarized into an evaluation model to evaluate the actual health status of batteries more quickly, efficiently and accurately.

[0043] However, appearance can be misleading. The appearance of the battery may look intact, but in fact, changes have occurred inside. For example, the chemical reaction inside the battery may have caused the battery capacity to decrease or an internal short circuit. Battery aging, the health of the battery is not only related to the usage time, but also to many factors such as the usage environment and charging habits. Even if the battery is not used for a long time, the health of the battery may decline if the usage environment is harsh or it is often overcharged. Some batteries can be repaired to restore their functions after being damaged, but it may be difficult to tell the difference between the repaired battery and the new battery in appearance. Different types of batteries (such as lithium-ion batteries, lead-acid batteries, etc.) have different aging mechanisms and appearance changes. It is difficult to accurately judge the health status of different types of batteries based on appearance alone. Therefore, in order to accurately judge the health status of the battery, the battery detection equipment and method of the present application are combined with multiple methods such as battery charge and discharge performance testing and internal resistance measurement for comprehensive evaluation.

[0044] In the embodiments of the present application, in response to the prior art problem of "using physical observation to see if the battery hardware is damaged or bulging to judge the health status of the battery, which is prone to misjudgment", the present application provides a solution of "multiple comprehensive tests, combined with the actual front-line operation of the drone battery, summarizing the factors affecting the health status of the battery, and summarizing them into an evaluation model to more quickly, efficiently and accurately evaluate the actual health status of the battery". Specifically, at least two groups of charge and discharge test data of the same model as the drone battery to be tested are obtained, and the cycle number ratio, production date ratio and battery actual capacity ratio are respectively generated according to the charge and discharge test data; the health status is generated according to the cycle number ratio, the production date ratio and the battery actual capacity ratio and the drone battery data to be tested, wherein the health status includes qualified and unqualified. This application obtains the health status of the drone battery by obtaining the battery characteristic ratio, and solves the problem of "using physical observation of whether the battery hardware is damaged or bulging to judge the health status of the battery, which is easy to cause misjudgment" by "summarizing the various factors that affect the health status of the battery and summarizing them into an evaluation model to evaluate the actual health status of the battery more quickly, efficiently and accurately". This application uses battery monitoring equipment to perform charge and discharge tests on the battery. After long-term and multiple monitoring, the application observes the influence of various battery parameters, battery cell voltage, maximum capacity, nominal capacity, number of cycles, production date, etc. on the battery status, and summarizes the battery health status evaluation formula model. Establish communication with the battery to obtain key battery information, such as: battery cell voltage, maximum capacity, nominal capacity, number of cycles, production date, etc. After the detector obtains the battery information, it calculates the battery health status through the battery health status evaluation formula model; and the calculation results can be displayed on the terminal for easy viewing.

[0045] Reference Figure 1, shows a flowchart of a method for detecting the health status of a battery provided by an embodiment of the present application, which specifically includes the following steps:

[0046] S110, obtaining at least two sets of charge and discharge test data of the same model as the battery of the drone to be tested, and generating a cycle number ratio, a production date ratio, and a battery actual capacity ratio according to the charge and discharge test data;

[0047] S120, generating a health status according to the cycle number ratio, the production date ratio, the battery actual capacity ratio and the battery data of the drone to be tested, wherein the health status includes qualified and unqualified.

[0048] Next, the method for detecting the battery health status in this exemplary embodiment is further described.

[0049] As described in the above step S110, at least two sets of charge and discharge test data of the same model as the drone battery to be tested are obtained, and the cycle number ratio, production date ratio and battery actual capacity ratio are generated respectively according to the charge and discharge test data.

[0050] In one embodiment of the present invention, the specific process of "obtaining at least two sets of charge and discharge test data of the same model as the drone battery to be tested, and generating a cycle number ratio, a production date ratio and a battery actual capacity ratio according to the charge and discharge test data;" in step S110 can be further explained in combination with the following description.

[0051] As described in the following steps, the charge and discharge test data includes battery cycle test data, battery date test data and battery volume test data.

[0052] As described in the following steps, battery cycle test data of the same model and the same factory date as the battery of the drone to be tested but with different number of cycles is obtained, and the cycle number proportion is generated according to the battery cycle test data; battery date test data of the same model and the same number of cycles as the battery of the drone to be tested but with different factory date is obtained, and the production date proportion is generated according to the battery date test data; battery volume test data of the same model and the same factory date and number of cycles as the battery of the drone to be tested is obtained, and the battery actual capacity proportion is generated according to the battery volume test data.

[0053] In one embodiment of the present invention, the specific process of the step of "obtaining battery cycle test data of the same model and production date as the battery of the drone to be tested but with different cycle numbers, and generating a cycle number proportion based on the battery cycle test data;" can be further explained in combination with the following description.

[0054] As described in the following steps, the battery cycle test data is averaged to generate a cycle number ratio.

[0055] In a specific embodiment, batteries of the same model and the same production date but different numbers of cycles are charged and discharged at the same current, and the difference in actual capacity of the batteries is monitored. The total number of actual capacity difference values ​​before and after the test, the total number of cycle number changes, and the total number of tests are counted and the average value is taken.

[0056]

[0057] C N —Battery rated capacity, MAh

[0058] C M1 —Actual battery capacity of the first test, MAh

[0059] C MN —The actual battery capacity detected for the Nth time, MAh

[0060] T N ——Nth battery cycle number detected

[0061] T1—Battery cycle number of the first test

[0062] N—Number of battery tests

[0063] It is thus estimated that the impact of the number of cycles on the battery health status accounts for about 40%;

[0064] In one embodiment of the present invention, the specific process of the step of "obtaining battery date test data of the same model as the battery of the drone to be tested with the same number of cycles but different factory date, and generating a production date proportion based on the battery date test data;" can be further explained in combination with the following description.

[0065] As described in the following steps, the production date ratio is generated by averaging the battery date test data.

[0066] In a specific embodiment, batteries of the same model and the same number of cycles but with different production dates are charged and discharged at the same current, the actual capacity differences of the batteries are monitored, and statistics are collected on the total number of months of factory departure, the total number of changes in actual battery capacity, and the total number of tests.

[0067]

[0068] C N —Battery rated capacity, MAh

[0069] C M1 —Actual battery capacity of the first test, MAh

[0070] C MN —The actual battery capacity detected for the Nth time, MAh

[0071] D1—Day of production when the battery was first tested

[0072] D N —Nth production day when the battery is tested

[0073] N—Number of battery tests

[0074] It is estimated that the impact of production date on battery health status accounts for about 20%;

[0075] In one embodiment of the present invention, the specific process of the step of "obtaining battery capacity test data of the same model, same factory date and same cycle number as the battery of the drone to be tested, and generating the actual capacity specific gravity of the battery based on the battery capacity test data;" can be further explained in combination with the following description.

[0076] As described in the following steps, the actual capacity specific gravity of the battery is generated by averaging the battery capacity test data.

[0077] In a specific embodiment, under the conditions of the same model, the same production date and the same number of cycles, the actual battery capacity and discharge time under the same current are tested to monitor the impact of the actual capacity on the operating time.

[0078]

[0079] t1—Time of battery discharge in the first test, h

[0080] t N —The time of battery discharge in the Nth test, h

[0081] It is assessed that the actual battery capacity has an impact of about 40% on the battery health status.

[0082] Through repeated multi-batch tests, the impact and proportion of battery cycle times, production date, and actual capacity on battery health status are monitored and summarized into battery monitoring data. The monitoring data is combined with actual operational needs to determine that the key parameters affecting battery health status monitoring are mainly battery cycle times, factory time, and actual battery capacity. The proportion of actual battery capacity accounts for 40%, the proportion of battery cycle times accounts for 40%, and the proportion of factory date accounts for 20%.

[0083] As described in the above step S120, a health status is generated according to the cycle number ratio, the production date ratio, the battery actual capacity ratio and the battery data of the drone to be tested, wherein the health status includes qualified and unqualified.

[0084] In one embodiment of the present invention, the specific process of "generating a health status according to the cycle number ratio, the production date ratio, the battery actual capacity ratio and the battery data of the drone to be tested, wherein the health status includes qualified and unqualified" in step S120 can be further explained in combination with the following description.

[0085] As described in the following steps, the battery data of the drone to be tested includes the rated battery capacity of the drone battery to be tested and the actual battery capacity of the drone battery to be tested. A first score is obtained according to the cycle number ratio; a second score is obtained according to the production date ratio; a third score is obtained according to the rated battery capacity of the drone battery to be tested, the actual battery capacity of the drone battery to be tested and the actual battery capacity ratio; and a health status is generated by the drone battery data to be tested according to the first score, the second score and the third score.

[0086] In an embodiment of the present invention, the specific process of the step of "obtaining a first score according to the proportion of the number of cycles" can be further explained in combination with the following description.

[0087] As described in the following steps, the number of loops is 40%: first score = 40 - current number of loops ÷ (150 ÷ ​​40).

[0088] In an embodiment of the present invention, the specific process of the step of "obtaining a second score according to the production date proportion" can be further explained in combination with the following description.

[0089] As described in the following steps, the production date 20%: second score = 20-(current date-production date) ÷ (18-20).

[0090] In one embodiment of the present invention, the specific process of the step of "obtaining a third score based on the rated battery capacity of the drone battery to be tested, the actual battery capacity of the drone battery to be tested, and the proportion of the actual battery capacity" can be further explained in combination with the following description.

[0091] As described in the following steps, the actual capacity of the battery is 40%: third score = 40-(-) ÷ (x15% ÷ 40).

[0092] In a specific embodiment, the battery monitoring data is summarized and combined with the actual front-line operation conditions throughout the year to summarize the influence of the actual battery capacity, production date, and number of promotions on the battery performance: the number of battery cycles accounts for 40%, the production date accounts for 20%, and the actual battery capacity accounts for 40%, thereby forming a formula model for calculating battery health status monitoring.

[0093] In one embodiment of the present invention, the specific process of the step of "obtaining battery data of the drone to be tested and generating a health status according to the first score, the second score and the third score" can be further explained in combination with the following description.

[0094] As described in the following steps, the first score, the second score and the third score are added together to obtain a total score; if the total score is greater than or equal to a preset score, the health status is qualified; if the total score is less than the preset score, the health status is unqualified.

[0095] In a specific embodiment, the calculated scores are accumulated for scoring and rating. If the calculated result is less than 60 points, the test is unqualified: 92-100 points are five stars; 84-91 points are four stars; 76-83 points are three stars; 68-75 points are two stars; 60-67 points are one star.

[0096] The present application also includes a device for detecting the health status of a battery, which is used to detect whether the health status of a drone battery 2 to be tested is qualified, and includes a detection box 1; a battery slot for batteries of different models is provided on the top of the detection box 1; a circuit board for detecting and obtaining data of different drone batteries 2 to be tested is provided inside the detection box 1.

[0097] In one embodiment of the present application, the circuit board includes a first interface board 4, a second interface board 5 and a third interface board 6; the first interface board 4, the second interface board 5 and the third interface board 6 are arranged side by side.

[0098] In one embodiment of the present application, the detection box 1 is provided with a display 3 ; a fourth development board 7 for connecting to the display 3 is provided inside the detection box 1 .

[0099] As an example, the detection box 1 is provided with a plurality of battery slots, including a first battery slot for placing a Y3 battery; a second battery slot for placing a TB30 battery; a third battery slot for placing a TB60 or TB65 battery; the first interface board 4 is used for the interface of the Y3 battery, the second interface board 5 is used for the interface of the TB30 battery, and the third interface board 6 is used for the interface of the TB60 or TB65 battery. Figure 2 and Figure 3 shown.

[0100] In a specific embodiment, one side of the detection box 1 is also provided with a power interface, a USB, a Type-C communication interface, and an Internet port to enable debugging and upgrading of the device and data export by the computer.

[0101] This application independently designs the equipment hardware: including the shell, structure, circuit board, fixings, adapting the equipment to different types of batteries, realizing the monitoring of multiple types of batteries at the same time, and designing the display screen. According to the type and quantity of battery models to be detected, the equipment independently designs the circuit board to realize the detection of different types of interface batteries: 5. Import the calculation formula on the development board. After the battery interface board obtains the battery information, it feeds the information back to the development board. After receiving the battery data information, the development board combines the formula to calculate the result.

[0102] The device of the present application calculates the test results through an evaluation model, rates the battery status, and displays the results to the user through a touch screen, allowing the user to more intuitively see the battery health status, evaluate whether the drone battery still meets operational requirements, and avoid operational risks caused by drone battery health status problems.

[0103] As for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0104] Reference Figure 4 , shows a system for detecting the health status of a battery provided by an embodiment of the present application, which specifically includes the following modules:

[0105] Acquisition module 510: used to acquire at least two sets of charge and discharge test data of the same model as the battery of the drone to be tested, and generate the cycle number ratio, production date ratio and battery actual capacity ratio respectively according to the charge and discharge test data;

[0106] The health status module 520 is used to generate a health status according to the cycle number ratio, the production date ratio, the battery actual capacity ratio and the battery data of the drone to be tested, wherein the health status includes qualified and unqualified.

[0107] In one embodiment of the present invention, the acquisition module 510 includes:

[0108] Cycle number ratio submodule: used to obtain battery cycle test data of the same model and production date as the battery of the drone to be tested but with different cycle numbers, and generate cycle number ratio based on the battery cycle test data;

[0109] Production date weight submodule: used to obtain battery date test data of the same model as the UAV battery to be tested, with the same number of cycles but different factory dates, and generate the production date weight based on the battery date test data;

[0110] The battery actual capacity specific gravity submodule is used to obtain the battery capacity test data of the same model, same factory date and same cycle number as the battery of the drone to be tested, and generate the battery actual capacity specific gravity based on the battery capacity test data.

[0111] In one embodiment of the present invention, the cycle number specific gravity submodule includes:

[0112] Average processing submodule: used for performing average processing on the battery cycle test data to generate a cycle number ratio;

[0113] In one embodiment of the present invention, the health status module 520 includes:

[0114] A first scoring submodule: used to obtain a first score according to the proportion of the number of cycles;

[0115] Second score submodule: used to obtain a second score according to the production date proportion;

[0116] The third score submodule is used to obtain the third score according to the rated capacity of the battery of the drone under test, the actual capacity of the battery under test and the proportion of the actual capacity of the battery;

[0117] Health status submodule: used to generate health status by obtaining battery data of the drone to be tested based on the first score, the second score and the third score.

[0118] It should be noted that, for the sake of simplicity, the method embodiments are described as a series of action combinations, but those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0119] There are repeated operation steps in this specific embodiment and the above specific embodiment, and this specific embodiment is only briefly described. For other solutions, refer to the description of the above specific embodiment.

[0120] As for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. Figure 5 , showing a computer device of a method for detecting a battery health status of the present application, which may specifically include the following:

[0121] The computer device 12 is in the form of a general-purpose computing device, and the components of the computer device 12 may include but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 connecting different system components (including the memory 28 and the processing unit 16).

[0122] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, an Audio Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0123] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0124] Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write to non-removable, non-volatile magnetic media (commonly referred to as a "hard drive"). Although Figure 5 Not shown, a disk drive for reading and writing to a removable non-volatile disk (such as a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM or other optical medium) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules 42, which are configured to perform the functions of the various embodiments of the present application.

[0125] A program / utility 40 having a set (at least one) of program modules 42 may be stored in, for example, a memory, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules 42, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0126] The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, cameras, etc.), one or more devices that enable an operator to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed through the I / O interface 22. Furthermore, the computer device 12 may also communicate with one or more networks (e.g., local area networks (LANs)), wide area networks (WANs), and / or public networks (e.g., the Internet) through a network adapter 20. Figure 5 As shown, the network adapter 20 communicates with other modules of the computer device 12 via the bus 18. It should be understood that although Figure 5 Not shown, other hardware and / or software modules may be used in conjunction with the computer device 12, including but not limited to: microcode, device drivers, redundant processing units 16, external disk drive arrays, RAID systems, tape drives, and data backup storage systems 34, etc.

[0127] The processing unit 16 executes various functional applications and data processing by running the programs stored in the memory 28, such as implementing a method for detecting the battery health status provided in an embodiment of the present application.

[0128] That is, when the processing unit 16 executes the program, it realizes: obtaining at least two groups of charge and discharge test data of the same model as the battery of the drone to be tested, and generating the cycle number ratio, production date ratio and battery actual capacity ratio respectively according to the charge and discharge test data; generating a health status according to the cycle number ratio, the production date ratio and the battery actual capacity ratio and the drone battery data to be tested, wherein the health status includes qualified and unqualified.

[0129] In an embodiment of the present application, the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, a method for detecting a battery health status as provided in all embodiments of the present application is implemented.

[0130] That is, when the program is executed by the processor, it is implemented as follows: obtaining at least two sets of charge and discharge test data of the same model as the battery of the drone to be tested, and generating the cycle number ratio, production date ratio and battery actual capacity ratio respectively according to the charge and discharge test data; generating a health status according to the cycle number ratio, the production date ratio and the battery actual capacity ratio and the drone battery data to be tested, wherein the health status includes qualified and unqualified.

[0131] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared or semiconductor system, system or device, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, system or device.

[0132] Computer-readable signal media may include a data signal propagated in baseband or as part of a carrier wave, in which a computer-readable program code is carried. Such propagated data signals may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, system, or device.

[0133] The computer program code for performing the operation of the present application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the operator's computer, partially on the operator's computer, as an independent software package, partially on the operator's computer, partially on the remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the operator's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet). The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the various embodiments can be referred to each other.

[0134] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the attached claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present application. Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or terminal device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0135] The above is a detailed introduction to a method and device for detecting the health status of a battery provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. The content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for detecting a battery health status, characterized in that: The method is used to detect whether the health status of the battery of the drone to be tested is qualified, and includes: Obtain at least two sets of charge and discharge test data of the same model as the battery of the drone to be tested, and generate the cycle number ratio, production date ratio and battery actual capacity ratio respectively according to the charge and discharge test data; A health status is generated according to the cycle number ratio, the production date ratio, the battery actual capacity ratio and the battery data of the drone to be tested, wherein the health status includes qualified and unqualified.

2. The method for detecting the battery health status according to claim 1, characterized in that: The charge and discharge test data includes battery cycle test data, battery date test data and battery volume test data; The step of generating the cycle number ratio, the production date ratio and the actual battery capacity ratio respectively according to the charge and discharge test data comprises: Obtain battery cycle test data of the same model and same production date as the battery of the drone to be tested but with different cycle times, and generate a cycle number ratio based on the battery cycle test data; Obtain battery date test data of the same model as the battery of the drone to be tested, with the same number of cycles but different production dates, and generate a production date proportion based on the battery date test data; Obtain battery capacity test data of the same model, same factory date and same cycle number as the battery of the drone to be tested, and generate the actual capacity specific gravity of the battery based on the battery capacity test data.

3. The method for detecting the battery health status according to claim 1, characterized in that: The step of generating a cycle number ratio according to the battery cycle test data comprises: The battery cycle test data is averaged to generate a cycle number ratio.

4. The method for detecting the battery health status according to claim 1, characterized in that: The battery data of the drone to be tested includes the rated capacity of the battery of the drone to be tested and the actual capacity of the battery tested by the drone to be tested; the step of generating the health status according to the cycle number ratio, the production date ratio, the actual battery capacity ratio and the drone battery data to be tested includes: Obtaining a first score according to the cycle number ratio; Obtaining a second score according to the production date proportion; The third score is obtained according to the rated battery capacity of the drone battery under test, the actual battery capacity of the drone battery under test, and the proportion of the actual battery capacity; The health status of the battery data of the drone to be tested is generated based on the first score, the second score and the third score.

5. The method for detecting the battery health status according to claim 4, characterized in that: The step of obtaining the battery data of the drone to be tested and generating a health status according to the first score, the second score and the third score comprises: Adding the first score, the second score and the third score to obtain a total score; If the total score is greater than or equal to the preset score, the health status is qualified; If the total score is less than the preset score, the health status is unqualified.

6. A device for detecting the health status of a battery, characterized in that: The device is used to detect whether the health status of the battery of the drone to be tested is qualified, and includes a detection box; The top of the detection box is provided with a battery slot for batteries of different models; the inside of the detection box is provided with a circuit board for detecting and obtaining battery data of different drones to be tested.

7. The device for detecting the battery health status according to claim 6, characterized in that: The circuit board includes a first interface board, a second interface board and a third interface board; The first interface board, the second interface board and the third interface board are arranged side by side.

8. The device for detecting the battery health status according to claim 7, characterized in that: The detection box and a tester are provided with a display; A fourth development board for connecting to a display is arranged in the detection box.

9. An electronic device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the steps of the method for detecting the battery health status as claimed in any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for detecting the battery health status according to any one of claims 1 to 5 are implemented.

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