CN114371417A - Equipment battery health degree detection method and device - Google Patents
Equipment battery health degree detection method and device Download PDFInfo
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- CN114371417A CN114371417A CN202111655690.0A CN202111655690A CN114371417A CN 114371417 A CN114371417 A CN 114371417A CN 202111655690 A CN202111655690 A CN 202111655690A CN 114371417 A CN114371417 A CN 114371417A
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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
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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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to a method and a device for detecting the health degree of a battery of equipment. Based on the method, the battery health degree can be calculated by reading corresponding battery parameters for the intelligent equipment to be tested of different types. Based on the method, the battery health degree can be detected according to corresponding information reading without complex application program adaptation, the detection efficiency is effectively improved, and the detection complexity is reduced.
Description
Technical Field
The invention relates to the technical field of electronic products, in particular to a method and a device for detecting the health degree of a battery of equipment.
Background
With the development of electronic product technology, various intelligent devices such as smart phones, notebook computers, tablet computers, and the like are developed. When the user uses the intelligent device, the main means of man-machine interaction with the intelligent device is realized through the screen of the intelligent device. Therefore, the quality of the screen of the intelligent device has an important influence on the use experience of the user. At present, along with the rapid development of economy and technology, the popularization and the updating speed of intelligent equipment are also faster and faster. Taking a smart phone as an example, the coming of the 5G era accelerates the generation change of the smart phone. In the iterative process of the intelligent equipment, effective recovery is one of effective utilization means of the residual value of the intelligent equipment, and the chemical pollution to the environment and the waste can be reduced.
After the intelligent equipment is recycled, the battery health degree is used as the use basis of the intelligent equipment, and the recycling evaluation of the intelligent equipment is greatly influenced. Currently, in the recycling detection process, the battery health of the smart device in the recycling process is detected by using a third-party application program. However, with third-party applications, more complex operations are required, such as program installation for smart devices. Meanwhile, the third-party application program lacks a uniform detection standard, so that intelligent equipment of partial machine types is not suitable for being configured, and inconvenience is brought to detection of the health degree of the battery.
Therefore, the traditional battery health degree detection mode has the defects.
Disclosure of Invention
Therefore, it is necessary to provide a method and an apparatus for detecting the health degree of a battery of a device, aiming at the defects of the conventional battery health degree detection method.
A method for detecting the health degree of a device battery comprises the following steps:
obtaining model information of the intelligent equipment to be tested;
reading battery parameters corresponding to the model information in the intelligent equipment to be tested;
and calculating the health degree of the battery according to the battery parameters.
According to the method for detecting the health degree of the battery of the equipment, after the model information of the intelligent equipment to be detected is obtained, the battery parameters corresponding to the model information in the intelligent equipment to be detected are read, and the health degree of the battery is calculated according to the battery parameters. Based on the method, the battery health degree can be calculated by reading corresponding battery parameters for the intelligent equipment to be tested of different types. Based on the method, the battery health degree can be detected according to corresponding information reading without complex application program adaptation, the detection efficiency is effectively improved, and the detection complexity is reduced.
In one embodiment, the model information includes a system type, an equipment brand, or equipment factory time of the intelligent equipment to be tested.
In one embodiment, the model information is a system type of the intelligent device to be tested;
the system types comprise an IOS system and an Android system.
In one embodiment, the process of reading the battery parameters corresponding to the model information in the to-be-tested intelligent device includes the steps of:
and when the system type of the intelligent device to be tested is the IOS system, reading the design capacity and the actual capacity of the intelligent device to be tested.
In one embodiment, a process for calculating battery health from battery parameters includes the steps of:
and determining the health degree of the battery according to the ratio of the actual capacity to the designed capacity.
In one embodiment, the process of reading the battery parameters corresponding to the model information in the to-be-tested intelligent device includes the steps of:
and when the system type of the intelligent device to be tested is an Android system, reading the design capacity, the charging current, the charging time, the starting electric quantity percentage, the ending electric quantity percentage and the tuning parameter of the intelligent device to be tested.
In one embodiment, a process for calculating battery health from battery parameters includes the steps of:
calculating the actual capacity according to the charging current, the charging time, the percentage of the starting electric quantity, the percentage of the ending electric quantity and the tuning parameter;
and determining the health degree of the battery according to the ratio of the actual capacity to the designed capacity.
An apparatus battery health detection device comprising:
the information acquisition module is used for acquiring the model information of the intelligent equipment to be tested;
the parameter reading module is used for reading battery parameters corresponding to the model information in the intelligent equipment to be tested;
and the health degree calculation module is used for calculating the health degree of the battery according to the battery parameters.
After the device battery health degree detection device obtains the model information of the intelligent device to be detected, the battery parameters corresponding to the model information in the intelligent device to be detected are read, and the battery health degree is calculated according to the battery parameters. Based on the method, the battery health degree can be calculated by reading corresponding battery parameters for the intelligent equipment to be tested of different types. Based on the method, the battery health degree can be detected according to corresponding information reading without complex application program adaptation, the detection efficiency is effectively improved, and the detection complexity is reduced.
A computer storage medium having computer instructions stored thereon, the computer instructions when executed by a processor implementing the device battery health detection method of any of the above embodiments.
After the computer storage medium obtains the model information of the intelligent device to be tested, the battery parameters corresponding to the model information in the intelligent device to be tested are read, and the health degree of the battery is calculated according to the battery parameters. Based on the method, the battery health degree can be calculated by reading corresponding battery parameters for the intelligent equipment to be tested of different types. Based on the method, the battery health degree can be detected according to corresponding information reading without complex application program adaptation, the detection efficiency is effectively improved, and the detection complexity is reduced.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the device battery health detection method of any of the above embodiments when executing the program.
After the computer device obtains the model information of the intelligent device to be tested, the battery parameters corresponding to the model information in the intelligent device to be tested are read, and the health degree of the battery is calculated according to the battery parameters. Based on the method, the battery health degree can be calculated by reading corresponding battery parameters for the intelligent equipment to be tested of different types. Based on the method, the battery health degree can be detected according to corresponding information reading without complex application program adaptation, the detection efficiency is effectively improved, and the detection complexity is reduced.
Drawings
FIG. 1 is a flow chart of a method for detecting the health of a battery of an apparatus according to an embodiment;
FIG. 2 is a flow chart of a method for detecting battery health of a device according to another embodiment;
FIG. 3 is a flow chart of a method for detecting the health of a battery of a device according to yet another embodiment;
FIG. 4 is a block diagram of an apparatus battery health detection device according to an embodiment;
FIG. 5 is a schematic diagram of an internal structure of a computer according to an embodiment.
Detailed Description
For better understanding of the objects, technical solutions and effects of the present invention, the present invention will be further explained with reference to the accompanying drawings and examples. Meanwhile, the following described examples are only for explaining the present invention, and are not intended to limit the present invention.
Wherein, in the recovery process of the intelligent equipment to be detected, the intelligent equipment to be detected can be recovered and detected through the self-service terminal or the recovery machine. The self-service terminal or the recovery machine can establish data connection with the intelligent device to be detected in a wired connection or wireless connection mode, and read corresponding data of the intelligent device to be detected or transmit corresponding data to the intelligent device to be detected. Meanwhile, the self-service terminal or the recovery machine can be used as a computing platform for hardware detection, or data are sent to a cloud server to complete computing. Based on the method, in the recovery detection of the self-service terminal or the recovery machine, an automatic operation method for the recovery detection is provided.
Fig. 1 is a flowchart illustrating a method for detecting a health level of a battery of a device according to an embodiment, as shown in fig. 1, the method for detecting a health level of a battery of a device according to an embodiment includes steps S100 to S102:
s100, obtaining model information of the intelligent device to be tested;
s101, reading battery parameters corresponding to model information in the intelligent device to be tested;
and S102, calculating the health degree of the battery according to the battery parameters.
The intelligent device to be tested comprises intelligent terminal devices such as a smart phone, a computer or an intelligent tablet. The model information of the intelligent device to be tested represents the difference between the intelligent device to be tested and other intelligent devices.
In one embodiment, the model information includes a system type of the smart device to be tested, a device brand, a device factory time, a device holder age, a device holder gender, a battery type, and the like.
The system type, the equipment brand, the battery type and other model information are inherent information of the intelligent equipment to be tested, and are fixed and easy to read. The equipment factory time, the age of the equipment holder and the sex of the equipment holder are the use information of the intelligent equipment to be tested, and the use information is difficult to read, and a large data processing burden is increased for the selection of the subsequent battery parameters.
Therefore, as a better implementation mode, the model information is the system type of the intelligent device to be tested;
the system types comprise an IOS system and an Android system.
Based on the method, the follow-up complexity of battery parameter selection is simplified by the system type, and the method is suitable for recycling application scenes of most types of intelligent equipment to be tested.
The battery parameters of the intelligent device to be tested are read, the storage information of the intelligent device to be tested can be read through the data line connection, and the battery parameters are obtained. And representing the battery health degree according to the battery parameters, and calculating the battery health degree.
In one embodiment, a mapping relation between a known battery parameter and a known battery health degree can be established according to sample intelligent equipment with the same model information. And calculating the health degree of the battery from the corresponding battery parameter of the intelligent device to be tested corresponding to the model information through the mapping relation.
In one embodiment, fig. 2 is a flowchart of a method for detecting battery health of a device according to another embodiment, and as shown in fig. 2, a process of reading a battery parameter corresponding to model information in an intelligent device to be tested in step S101 includes step S200:
s200, when the system type of the intelligent device to be tested is an IOS system, reading the design capacity and the actual capacity of the intelligent device to be tested
The battery parameters of the intelligent device to be tested include Design Capacity (DC) and Actual Capacity (AC). The unit of the designed capacity and the unit of the actual capacity are mAh.
And evaluating and calculating the health degree of the battery according to the difference between the design capacity and the actual capacity.
In one embodiment, as shown in fig. 2, the process of calculating the battery health degree according to the battery parameter in step S102 includes step S201:
s201, determining the health degree of the battery according to the ratio of the actual capacity to the designed capacity.
Wherein, step S201 is as follows:
HD＝AC/DC*100％
here, HD represents a battery health (health degree), AC represents an actual capacity, and DC represents a design capacity.
In one embodiment, fig. 3 is a flowchart of a method for detecting battery health of a device according to yet another embodiment, and as shown in fig. 3, a process of reading a battery parameter corresponding to model information in an intelligent device to be tested in step S101 includes step S300:
and S300, reading the design capacity, the charging current, the charging time, the starting electric quantity percentage, the ending electric quantity percentage and the tuning parameter of the intelligent device to be tested when the system type of the intelligent device to be tested is an Android system.
The Design Capacity (DC), the charging current (CC, mA), the charging duration (ChargeTime, CT, h), the start charge percentage (startpeak, SP), the end charge percentage (end peak, EP), and the tuning Parameter (Parameter, P) are described.
When the system type of the to-be-tested intelligent device is the Android system, the battery parameter reading in the step S101 is different from the above method. In the process of reading the battery parameters, waiting for a preset time length, determining the percentage of the starting electric quantity according to the starting time of the preset time length, determining the percentage of the ending electric quantity according to the ending time of the preset time length, and simultaneously reading the charging current, the charging time length and the tuning parameters in the process of the preset time length.
In one embodiment, the tuning parameters need to be determined by referring to the battery attenuation rate of the smart device to be tested, the battery cycle number, environmental factors and the like. As a preferred embodiment, the tuning parameter is 0-2.
In one embodiment, when the intelligent device to be tested is connected through the data line to read the battery parameters, the intelligent device to be tested is charged through the data line to determine the battery parameters.
In one embodiment, as shown in fig. 3, the process of calculating the battery health degree according to the battery parameter in step S102 includes steps S301 and S302:
s301, calculating actual capacity according to the charging current, the charging time, the percentage of the starting electric quantity, the percentage of the ending electric quantity and the tuning parameter;
and S302, determining the health degree of the battery according to the ratio of the actual capacity to the designed capacity.
According to the process of charging, the actual capacity is calculated. In one embodiment, in step S301, the actual capacity is calculated according to the charging current, the charging duration, the percentage of the starting capacity, the percentage of the ending capacity, and the tuning parameter, as follows:
AC＝CC*CT/(EP-SP)*P
HD＝AC/DC*100％
wherein AC represents the actual capacity, CC represents the charging current, CT represents the charging time, EP represents the end electric quantity percentage, SP represents the start electric quantity percentage, P represents the tuning parameter, DC represents the design capacity, and HD represents the battery health degree.
In the method for detecting the health degree of the battery of the device according to any embodiment, after the model information of the to-be-detected intelligent device is obtained, the battery parameter corresponding to the model information in the to-be-detected intelligent device is read, and the health degree of the battery is calculated according to the battery parameter. Based on the method, the battery health degree can be calculated by reading corresponding battery parameters for the intelligent equipment to be tested of different types. Based on the method, the battery health degree can be detected according to corresponding information reading without complex application program adaptation, the detection efficiency is effectively improved, and the detection complexity is reduced.
The embodiment of the invention also provides a device for detecting the health degree of the equipment battery.
Fig. 4 is a block diagram illustrating a device battery health degree detection apparatus according to an embodiment, and as shown in fig. 4, the device battery health degree detection apparatus according to an embodiment includes:
the information acquisition module 100 is used for acquiring model information of the intelligent device to be tested;
the parameter reading module 101 is used for reading battery parameters corresponding to the model information in the intelligent device to be tested;
and the health degree calculation module 102 is used for calculating the battery health degree according to the battery parameters.
After the device battery health degree detection device obtains the model information of the intelligent device to be detected, the battery parameters corresponding to the model information in the intelligent device to be detected are read, and the battery health degree is calculated according to the battery parameters. Based on the method, the battery health degree can be calculated by reading corresponding battery parameters for the intelligent equipment to be tested of different types. Based on the method, the battery health degree can be detected according to corresponding information reading without complex application program adaptation, the detection efficiency is effectively improved, and the detection complexity is reduced.
The embodiment of the invention also provides a computer storage medium, on which computer instructions are stored, and when the instructions are executed by a processor, the method for detecting the health degree of the battery of the equipment in any embodiment is realized.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a RAM, a ROM, a magnetic or optical disk, or various other media that can store program code.
Corresponding to the computer storage medium, in one embodiment, a computer device is further provided, where the computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the device battery health detection method in any one of the embodiments.
The computer device may be a terminal, and its internal structure diagram may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a device battery health detection method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
After the computer equipment acquires the model information of the intelligent equipment to be tested, the battery parameters corresponding to the model information in the intelligent equipment to be tested are read, and the health degree of the battery is calculated according to the battery parameters. Based on the method, the battery health degree can be calculated by reading corresponding battery parameters for the intelligent equipment to be tested of different types. Based on the method, the battery health degree can be detected according to corresponding information reading without complex application program adaptation, the detection efficiency is effectively improved, and the detection complexity is reduced.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for detecting the health degree of a device battery is characterized by comprising the following steps:
obtaining model information of the intelligent equipment to be tested;
reading battery parameters corresponding to the model information in the intelligent equipment to be tested;
and calculating the health degree of the battery according to the battery parameters.
2. The device battery health detection method according to claim 1, wherein the model information includes a system type, a device brand, or a device factory time of the smart device to be tested.
3. The device battery health detection method according to claim 2, wherein the model information is a system type of the intelligent device to be detected;
the system types comprise an IOS system and an Android system.
4. The device battery health detection method according to claim 3, wherein the process of reading the battery parameter corresponding to the model information in the to-be-detected smart device includes the steps of:
and when the system type of the intelligent device to be tested is the IOS system, reading the design capacity and the actual capacity of the intelligent device to be tested.
5. The device battery health detection method of claim 4, wherein the process of calculating battery health from the battery parameters comprises the steps of:
and determining the health degree of the battery according to the ratio of the actual capacity to the design capacity.
6. The device battery health detection method according to claim 3, wherein the process of reading the battery parameter corresponding to the model information in the to-be-detected smart device includes the steps of:
and when the system type of the intelligent device to be tested is an Android system, reading the design capacity, the charging current, the charging time, the starting electric quantity percentage, the ending electric quantity percentage and the tuning parameter of the intelligent device to be tested.
7. The device battery health detection method of claim 6, wherein the process of calculating battery health from the battery parameters comprises the steps of:
calculating actual capacity according to the charging current, the charging time length, the starting electric quantity percentage, the ending electric quantity percentage and the tuning parameter;
and determining the health degree of the battery according to the ratio of the actual capacity to the design capacity.
8. An apparatus battery health detection device, comprising:
the information acquisition module is used for acquiring the model information of the intelligent equipment to be tested;
the parameter reading module is used for reading battery parameters corresponding to the model information in the intelligent equipment to be tested;
and the health degree calculation module is used for calculating the health degree of the battery according to the battery parameters.
9. A computer storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement the device battery health detection method of any of claims 1 to 7.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the device battery health detection method of any one of claims 1 to 7.
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| CN202111655690.0A CN114371417A (en) | 2021-12-30 | 2021-12-30 | Equipment battery health degree detection method and device |
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| CN202111655690.0A CN114371417A (en) | 2021-12-30 | 2021-12-30 | Equipment battery health degree detection method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11989701B2 (en) | 2014-10-03 | 2024-05-21 | Ecoatm, Llc | System for electrically testing mobile devices at a consumer-operated kiosk, and associated devices and methods |
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2021
- 2021-12-30 CN CN202111655690.0A patent/CN114371417A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11989701B2 (en) | 2014-10-03 | 2024-05-21 | Ecoatm, Llc | System for electrically testing mobile devices at a consumer-operated kiosk, and associated devices and methods |
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