CN116449239A - Unmanned aerial vehicle battery health state evaluation method - Google Patents
Unmanned aerial vehicle battery health state evaluation method Download PDFInfo
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- CN116449239A CN116449239A CN202310203726.4A CN202310203726A CN116449239A CN 116449239 A CN116449239 A CN 116449239A CN 202310203726 A CN202310203726 A CN 202310203726A CN 116449239 A CN116449239 A CN 116449239A
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- 230000036541 health Effects 0.000 title claims abstract description 26
- 238000011156 evaluation Methods 0.000 title abstract description 7
- 238000012384 transportation and delivery Methods 0.000 claims abstract description 35
- 238000000034 method Methods 0.000 claims abstract description 27
- 230000003862 health status Effects 0.000 claims abstract description 13
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 4
- 238000012797 qualification Methods 0.000 claims description 4
- 230000001186 cumulative effect Effects 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 10
- 238000007726 management method Methods 0.000 abstract description 6
- 238000012423 maintenance Methods 0.000 abstract description 5
- 230000007774 longterm Effects 0.000 abstract description 4
- 230000008569 process Effects 0.000 abstract description 4
- 238000010223 real-time analysis Methods 0.000 abstract description 4
- 230000002035 prolonged effect Effects 0.000 abstract description 3
- 238000004321 preservation Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
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- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D45/00—Aircraft indicators or protectors not otherwise provided for
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U50/00—Propulsion; Power supply
- B64U50/30—Supply or distribution of electrical power
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D45/00—Aircraft indicators or protectors not otherwise provided for
- B64D2045/0085—Devices for aircraft health monitoring, e.g. monitoring flutter or vibration
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Secondary Cells (AREA)
Abstract
The invention provides a battery health state evaluation method for an unmanned aerial vehicle, and relates to the technical field of battery evaluation. A method for evaluating the health status of an unmanned aerial vehicle battery, comprising the steps of: s1, checking time: searching the battery delivery date and the current date, and calculating the total month from the battery delivery date to the current date; s2, software detection: s201, detecting the voltage range of each single battery cell through software, and obtaining the value of the battery cell voltage. By constructing an algorithm model, the current battery health state is analyzed, a real-time analysis report is provided, potential safety hazards caused in the process of preservation or use are avoided, a long-term battery maintenance management method is conveniently searched, the service life of the battery is prolonged, manpower and material resources are reduced, a battery health state result is rapidly and accurately obtained, the actual effective life cycle of the battery is conveniently mastered, the production task and the operation tool are guaranteed to be matched with each other, and the production and operation efficiency of enterprises is better improved.
Description
Technical Field
The invention relates to the technical field of battery evaluation, in particular to a battery health state evaluation method for an unmanned aerial vehicle.
Background
In recent years, along with the rapid development of modern high technology, unmanned aerial vehicles play an increasingly important role in various fields, so that the unmanned aerial vehicles are widely applied, the application scenes of the unmanned aerial vehicles become various, meanwhile, the types of the unmanned aerial vehicles are various, and for a long time, due to the fact that enterprises purchase a large number of aircrafts and a large number of batteries carried by the aircrafts, the management of the unmanned aerial vehicle batteries by the enterprises is still at a low level.
At present, the state of health of the battery is judged by an enterprise mainly and simply in terms of checking the cycle times of the battery, the appearance of the battery and the like, the method is quite original and lacks theoretical basis, and a series of problems can be caused by low level of the enterprise on battery management.
Firstly, to trouble battery, can't carry out maintenance in time or discard, very easily cause very big safety in the in-process of keeping or using and produce hidden danger, secondly, to various batteries, lack long-term battery maintenance management method, cause battery life to be generally lower than anticipated, moreover, when the enterprise needs to examine battery health status, when keeping huge battery of volume, often need consume very big manpower and material resources, can't obtain quick and accurate battery health status result, finally, because the manager can't grasp the actual effective life cycle of battery, lead to production task unable and operation instrument mutually to match, seriously reduce the production and the operating efficiency of enterprise.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an unmanned aerial vehicle battery health state evaluation method, which solves the problems that the serious potential safety hazard is caused in the process of storage or use, the service life of a battery is generally lower than expected, the result of the battery health state cannot be obtained quickly and accurately, the production task cannot be matched with a working tool, and the production and operation efficiency of enterprises is seriously reduced.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method for evaluating the health status of an unmanned aerial vehicle battery, comprising the steps of:
s1, checking time: searching the battery delivery date and the current date, and calculating the total month from the battery delivery date to the current date;
s2, software detection:
s201, detecting the voltage range of each single battery cell through software to obtain the numerical value of the battery cell voltage;
s202, comparing the temperature of the battery cell with the ambient temperature in the unused state of the battery, and using software
Acquiring a numerical value of the temperature of the battery cell;
s203, comparing and detecting the actual capacity and the nominal capacity of the battery, and obtaining the actual capacity of the battery through software
Amount and nominal capacity;
s204, accumulating the charge and discharge times, and precisely acquiring accumulated cycle times through software;
s3, algorithm model processing: carrying out score calculation on the actual capacity, the delivery date and the cycle number of the battery through a battery health algorithm model;
s4, sorting the total scores: and (3) performing star grade comparison according to the score obtained in the step (III).
Preferably, in the step S1, the calculation of the total month is obtained by subtracting the date of delivery from the current date, and the obtained date is 18 months or less, which is qualified.
Preferably, in the step S201, the range of the pass interval of the obtained cell voltage value is 3.0V-4.35V.
Preferably, in the step S202, the temperature of the battery cell obtained by the software should be less than or equal to 3 degrees celsius and be a qualified standard.
Preferably, in the step S203, the actual capacity and the nominal capacity of the battery obtained by the software should be less than or equal to 85% as a qualified standard.
Preferably, in the step S204, the number of times of the software acquisition accumulated cycle should be less than or equal to 150 times as a qualified standard.
Preferably, in the step S3, the algorithm model processing is divided into a battery actual capacity scoring algorithm unit, a delivery date scoring algorithm unit and a cycle number scoring algorithm unit, where an algorithm formula of the battery actual capacity scoring algorithm unit is as follows: 40- (nominal capacity-maximum capacity)/(nominal capacity x 15%/(40)), the algorithm formula of the delivery date scoring algorithm unit is: 20- (current date-delivery date)/(18/20), wherein the algorithm formula of the cycle number scoring algorithm unit is as follows: 40-current number of cycles ≡ (150 ≡40).
Preferably, in the step S4, the score interval of the star rating is 60-67 divided into one star, 68-75 divided into two stars, 76-83 divided into three stars, 84-91 divided into four stars, 92-100 divided into five stars, and less than 60 minutes, and the detection is failed.
Preferably, the score of the star rating is the sum of scores of a battery actual capacity scoring algorithm unit, a delivery date scoring algorithm unit and a cycle number scoring algorithm unit.
The invention provides a method for evaluating the health state of an unmanned aerial vehicle battery. The beneficial effects are as follows:
1. according to the invention, the service time, the battery cell voltage range, the battery cell temperature range, the battery capacity and the cycle number of the battery are detected and calculated, and then the proportion of the actual capacity of the battery, the proportion of the delivery date and the proportion of the cycle number are calculated according to the calculated values, so that the proportion is accumulated for star rating, further analysis is carried out from different angles, potential safety hazards caused in the process of storage or use are avoided, a long-term battery maintenance management method is conveniently searched, and the service life of the battery is prolonged.
2. According to the invention, through the battery data such as the battery cell voltage, the current, the cycle times, the current capacity, the delivery date and the like obtained from the battery, the health state of the current battery is analyzed and a real-time analysis report is provided by building the algorithm models of the actual capacity scoring algorithm unit, the delivery date scoring algorithm unit and the cycle times scoring algorithm unit, so that the most real-time state of battery health is provided for a user, the extremely large manpower and material resources are reduced, the result of the health state of the battery can be obtained rapidly and accurately, a manager can grasp the actual effective life cycle of the battery conveniently, the production task and the operation tool can be matched with each other, and the production and operation efficiency of enterprises are improved better.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
the embodiment of the invention provides a method for evaluating the health state of an unmanned aerial vehicle battery, which comprises the following steps:
s1, checking time: searching the battery delivery date and the current date, and calculating the total month from the battery delivery date to the current date;
s2, software detection:
s201, detecting the voltage range of each single battery cell through software to obtain the numerical value of the battery cell voltage;
s202, comparing the temperature of the battery cell with the ambient temperature in the unused state of the battery, and using software
Acquiring a numerical value of the temperature of the battery cell;
s203, comparing and detecting the actual capacity and the nominal capacity of the battery, and obtaining the actual capacity of the battery through software
Amount and nominal capacity;
s204, accumulating the charge and discharge times, and precisely acquiring accumulated cycle times through software;
s3, algorithm model processing: carrying out score calculation on the actual capacity, the delivery date and the cycle number of the battery through a battery health algorithm model;
s4, sorting the total scores: and (3) performing star grade comparison according to the score obtained in the step (III).
Compared with the prior art, the method has the advantages that the algorithm model is built, the current battery health state is analyzed, the real-time analysis report is provided, potential safety hazards caused in the storage or use process are avoided, a long-term battery maintenance management method is conveniently searched, the service life of the battery is prolonged, manpower and material resources are reduced, the battery health state result is rapidly and accurately obtained, the actual effective life cycle of the battery is conveniently mastered, the production task is guaranteed to be matched with the operation tool, and the production and operation efficiency of enterprises are better improved.
The following describes each step in the method for evaluating the health status of the unmanned aerial vehicle battery.
In the step S1, the calculation of the total month is obtained by subtracting the delivery date from the current date, and the obtained date is less than or equal to 18 months and is qualified.
Specifically, in the step, the delivery date is subtracted from the current date in total months, so that a judgment standard is provided for judging whether the date is qualified or not, and the method is simple to operate, easy to understand, convenient and quick.
In the step S201, the range of the qualification interval of the obtained cell voltage value is 3.0V-4.35V.
Specifically, in this step, the measurement of the cell voltage value refers to the measurement of the voltage range of each individual cell.
In step S202, the temperature of the battery cell obtained by the software should be less than or equal to 3 ℃ and be a qualified standard.
Specifically, in this step, the value of the cell temperature is obtained by comparing the cell temperature with the ambient temperature when the battery is not in use.
In step S203, the actual capacity and the nominal capacity of the battery obtained by the software should be less than or equal to 85% as a qualified standard.
Specifically, in this step, the actual capacity and the nominal capacity of the battery are compared and detected.
In step S204, the software obtains the cumulative cycle number to be 150 times or less as the qualification standard.
Specifically, in this step, the accumulated cycle number is once accumulated for the charge/discharge number.
In the step S3, the algorithm model processing is divided into a battery actual capacity scoring algorithm unit, a delivery date scoring algorithm unit and a cycle number scoring algorithm unit, wherein the algorithm formula of the battery actual capacity scoring algorithm unit is as follows: 40- (nominal capacity-maximum capacity)/(nominal capacity×15%/(40)), the algorithm formula of the delivery date scoring algorithm unit is: 20- (current date-delivery date)/(18/(20)), the algorithm formula of the cycle number scoring algorithm unit is: 40-current number of cycles ≡ (150 ≡40).
Specifically, in the step, the actual capacity scoring algorithm unit, the delivery date scoring algorithm unit and the cycle number scoring algorithm unit of the battery in the algorithm model processing are used for carrying out operation processing, so that the actual capacity score, the delivery date score and the cycle number score of the battery are obtained.
In the step S4, the score interval of the star rating is 60-67 divided into one star, 68-75 divided into two stars, 76-83 divided into three stars, 84-91 divided into four stars and 92-100 divided into five stars, which are lower than 60, and the detection is unqualified.
The score of the star rating is the sum of scores of the actual capacity scoring algorithm unit, the delivery date scoring algorithm unit and the cycle number scoring algorithm unit of the battery.
Specifically, in the step, different star rating intervals are set according to the segments after the score accumulation, so that the health state of the battery can be better and more intuitively known.
The inspection method and score calculation method table drawn according to the first embodiment:
battery state of health detection
Method for calculating battery health state score
Embodiment two:
the embodiment of the invention provides the following steps:
a method for evaluating the health status of an unmanned aerial vehicle battery, comprising the steps of:
s1, checking time: searching the battery delivery date and the current date, and calculating the total month from the battery delivery date to the current date;
s2, observing the battery contact, wherein a white or green corroded trace is an initial sign of a battery problem;
s3, placing the battery on a desktop for rotation, if the battery rotates quickly, indicating that the surface is uneven, and some parts of the battery start to bulge, so that the battery has a problem;
s4, comparing and detecting the actual capacity and the nominal capacity of the battery, and acquiring the actual capacity and the nominal capacity of the battery through software;
and S5, accumulating the charge and discharge times, and precisely acquiring accumulated cycle times through software.
In the step S1, the calculation of the total month is obtained by subtracting the delivery date from the current date, and the obtained date is less than or equal to 18 months and is qualified.
In step S2, when the battery contact is observed, the illumination lamp is used to locally illuminate and carefully observe.
And S3, selecting a desktop used by the battery as a horizontal desktop and placing the desktop horizontally.
In the step S4, the actual capacity and the nominal capacity of the battery obtained by the software are less than or equal to 85 percent and are qualified.
In step S5, the software obtains the cumulative cycle number to be 150 times or less as the qualification standard.
Summarizing: according to the method, analysis is performed from different angles, and the current battery health state is analyzed and a real-time analysis report is provided by building an algorithm model in combination with battery data such as battery cell voltage, current, cycle times, current capacity, delivery date and the like obtained from the battery, so that the most real battery health real-time state is provided for a user.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. A method for evaluating the health state of an unmanned aerial vehicle battery is characterized by comprising the following steps of: the method comprises the following steps:
s1, checking time: searching the battery delivery date and the current date, and calculating the total month from the battery delivery date to the current date;
s2, software detection:
s201, detecting the voltage range of each single battery cell through software to obtain the numerical value of the battery cell voltage;
s202, comparing the temperature of the battery cell with the ambient temperature in a state that the battery is not used, and acquiring the numerical value of the temperature of the battery cell through software;
s203, comparing and detecting the actual capacity and the nominal capacity of the battery, and acquiring the actual capacity and the nominal capacity of the battery through software;
s204, accumulating the charge and discharge times, accurately acquiring accumulated cycle times through software;
s3, algorithm model processing: carrying out score calculation on the actual capacity, the delivery date and the cycle number of the battery through a battery health algorithm model;
s4, sorting the total scores: and (3) performing star grade comparison according to the score obtained in the step (III).
2. The method for evaluating the health status of an unmanned aerial vehicle battery according to claim 1, wherein: in the step S1, the calculation of the total months is obtained by subtracting the delivery date from the current date, and the obtained date is less than or equal to 18 months and is qualified.
3. The method for evaluating the health status of an unmanned aerial vehicle battery according to claim 1, wherein: in the step S201, the range of the pass interval of the obtained cell voltage value is 3.0V-4.35V.
4. The method for evaluating the health status of an unmanned aerial vehicle battery according to claim 1, wherein: in the step S202, the temperature of the battery cell obtained by the software should be less than or equal to 3 ℃ and be a qualified standard.
5. The method for evaluating the health status of an unmanned aerial vehicle battery according to claim 1, wherein: in the step S203, the actual capacity and the nominal capacity of the battery obtained by the software should be less than or equal to 85% and be qualified.
6. The method for evaluating the health status of an unmanned aerial vehicle battery according to claim 1, wherein: in the step S204, the software obtains the cumulative cycle number to be 150 or less as the qualification standard.
7. The method for evaluating the health status of an unmanned aerial vehicle battery according to claim 1, wherein: in the step S3, the algorithm model processing is divided into a battery actual capacity scoring algorithm unit, a factory date scoring algorithm unit and a cycle number scoring algorithm unit, where the algorithm formula of the battery actual capacity scoring algorithm unit is as follows: 40- (nominal capacity-maximum capacity)/(nominal capacity x 15%/(40)), the algorithm formula of the delivery date scoring algorithm unit is: 20- (current date-delivery date)/(18/20), wherein the algorithm formula of the cycle number scoring algorithm unit is as follows: 40-current number of cycles ≡ (150 ≡40).
8. The method for evaluating the health status of an unmanned aerial vehicle battery according to claim 1, wherein: in the step S4, the score interval of the star rating is 60-67 divided into one star, 68-75 divided into two stars, 76-83 divided into three stars, 84-91 divided into four stars and 92-100 divided into five stars, and the detection is failed when the score interval is lower than 60 minutes.
9. The method for evaluating the health of an unmanned aerial vehicle battery of claim 8, wherein: the score of the star rating is the sum of scores of a battery actual capacity scoring algorithm unit, a delivery date scoring algorithm unit and a cycle number scoring algorithm unit.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117341976A (en) * | 2023-12-05 | 2024-01-05 | 合肥德智航创科技有限公司 | Comprehensive health management system of unmanned aerial vehicle |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117341976A (en) * | 2023-12-05 | 2024-01-05 | 合肥德智航创科技有限公司 | Comprehensive health management system of unmanned aerial vehicle |
| CN117341976B (en) * | 2023-12-05 | 2024-02-02 | 合肥德智航创科技有限公司 | Comprehensive health management system of unmanned aerial vehicle |
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