CN111157901A - Battery electric quantity detection method and device - Google Patents
Battery electric quantity detection method and device Download PDFInfo
- Publication number
- CN111157901A CN111157901A CN202010037629.9A CN202010037629A CN111157901A CN 111157901 A CN111157901 A CN 111157901A CN 202010037629 A CN202010037629 A CN 202010037629A CN 111157901 A CN111157901 A CN 111157901A
- Authority
- CN
- China
- Prior art keywords
- battery
- electric quantity
- average value
- value
- equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
-
- 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]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
-
- 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
- G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The embodiment of the invention relates to the technical field of batteries, in particular to a battery electric quantity detection method and a device, wherein the battery electric quantity detection method comprises the following steps: acquiring the current battery capacity; judging whether the percentage of the electric quantity of the battery is larger than a preset threshold value or not; if yes, acquiring the time length of awakening the equipment where the battery is located; calculating the power consumption of the battery for starting the equipment according to the pre-stored current average value and the time length; and calculating the residual electric quantity of the battery according to the electric quantity of the current battery and the electric power consumption. According to the method, the power consumption is calculated by using the awakening time of the equipment, so that the residual power of the battery is calculated, an expensive coulometer is not needed, and the cost of battery power detection is reduced.
Description
Technical Field
The embodiment of the invention relates to the technical field of batteries, in particular to a battery electric quantity detection method and device.
Background
Under the background of the rapid development of the internet of things, a large number of novel low-power-consumption electronic devices emerge, and the devices need to use lithium sub-batteries because the standby time needs to reach 5-10 years. However, due to the constant voltage characteristic of the lithium-ion battery, the voltage hardly changes in the interval from full charge to 10% capacity, and the conventional MCU voltage detection method cannot be used to read the electric quantity. In the prior art, the current is detected through a special detection chip (such as a coulometer) to read the electric quantity, the extra cost is high, and the cost effect is not achieved for mass Internet of things equipment with the cost generally only being dozens of RMB.
Disclosure of Invention
Therefore, the embodiment of the invention provides a method and a device for detecting battery power, so as to reduce the detection cost of the battery power.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
according to a first aspect of an embodiment of the present invention, a battery power detection method includes:
acquiring the current battery capacity;
judging whether the percentage of the electric quantity of the battery is larger than a preset threshold value or not;
if yes, acquiring the time length of equipment awakening;
calculating the power consumption of the battery for starting the equipment according to the pre-stored current average value and the time length;
and calculating the residual electric quantity of the battery according to the electric quantity of the current battery and the electric power consumption.
Further, if the battery capacity percentage is larger than or equal to a preset threshold, sampling the voltage value 1 time at preset time intervals during the awakening of the equipment, and determining the corresponding capacity value;
determining a predetermined number of electrical values;
calculating the average value of the electric quantity values except the maximum value and the minimum value in the preset quantity of electric quantity values;
and if the average value is smaller than the last electric quantity value, taking the electric quantity average value as a battery electric quantity value.
Further, still include: verifying whether the average is valid, including:
waking up the device for a plurality of times;
determining the average value of the electric quantity calculated by the awakening equipment each time;
judging whether the average value of the plurality of electric quantities is smaller than the average value;
if both are less than the average value, the average value is determined to be valid.
Further, still include: if it is determined that the battery charge is less than a predetermined threshold, then one or more of the following is undertaken:
sending out prompt information for replacing the battery;
the indicator light flashes.
According to a second aspect of the embodiments of the present invention, a battery level detection apparatus includes:
the acquisition module is used for acquiring the current battery electric quantity;
the processing module is used for judging whether the battery electric quantity percentage is larger than a preset threshold value or not;
if yes, acquiring the time length of equipment awakening;
calculating the power consumption of the battery for starting the equipment according to the pre-stored current average value and the time length;
and calculating the residual electric quantity of the battery according to the electric quantity of the current battery and the electric power consumption.
Further, the processing module is further configured to, if the battery capacity percentage is greater than or equal to a predetermined threshold, sample the voltage value 1 time at predetermined time intervals during the device wake-up period, and determine a corresponding capacity value;
determining a predetermined number of electrical values;
calculating the average value of the electric quantity values except the maximum value and the minimum value in the preset quantity of electric quantity values;
and if the average value is smaller than the last electric quantity value, taking the electric quantity average value as a battery electric quantity value.
Further, the processing module is further configured to verify whether the average is valid, including:
waking up the device for a plurality of times;
determining the average value of the electric quantity calculated by the awakening equipment each time;
judging whether the average value of the plurality of electric quantities is smaller than the average value;
if both are less than the average value, the average value is determined to be valid.
Further, the processing module is further configured to, if it is determined that the battery level is less than a predetermined threshold, take one or more of the following:
sending out prompt information for replacing the battery;
the indicator light flashes.
The embodiment of the invention has the following advantages: acquiring the current battery capacity; judging whether the percentage of the electric quantity of the battery is larger than a preset threshold value or not; if yes, acquiring the time length of awakening the equipment where the battery is located; calculating the power consumption of the battery for starting the equipment according to the pre-stored current average value and the time length; and calculating the residual electric quantity of the battery according to the electric quantity of the current battery and the electric power consumption. According to the method, the power consumption is calculated by using the awakening time of the equipment, so that the residual power of the battery is calculated, an expensive coulometer is not needed, and the cost of battery power detection is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope of the present invention.
Fig. 1 is a flowchart of a battery power detection method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a battery power detection apparatus according to an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Based on this, the present application proposes a battery power detection method, application and server, referring to the flow chart of a battery power detection method shown in fig. 1; the method comprises the following steps:
step S101, acquiring the current battery capacity;
one way is that the current battery charge percentage is recorded in the device at the last measurement; for example, 0.5;
the method in the prior art can also be adopted to obtain the current battery power, specifically:
firstly, acquiring the voltage of a battery by using a single chip microcomputer, and converting the electric quantity of the battery according to the voltage; this is prior art and will not be described in detail. However, this quantity of electricity is not accurate and can only be calculated as a hypothetical quantity of electricity.
The third method, worth emphasizing, is that due to the characteristics of the lithium subcell, the capacity consumption is very small; when the percentage of the electric quantity is within the range of 0.1 to 1, the electric quantity cannot change along with the voltage; the reduction in power is not significant; but once the charge is less than 0.1; is clearly proportional to the voltage; therefore, whether the electric quantity of the battery is in the range of 0 to 0.1 is determined, one method is to start the equipment for multiple times, judge whether the electric quantity calculation value after starting is changed, specifically, the electric quantity is obviously reduced compared with the previous time, and if the electric quantity calculation value is approximately unchanged, the electric quantity percentage is in the stage of 0.1 to 1; if there is a change, the percentage charge is in the range of 0 to 0.1.
Step S102, judging whether the battery electric quantity percentage is larger than a preset threshold value;
wherein the predetermined threshold for battery charge percentage is 0.1; the applicant has found that when the percentage of charge is greater than 0.1, the voltage of the battery does not correspond linearly to the charge; when the amount of electricity changes, the voltage hardly changes, and of course, the threshold value may also change depending on the battery, or may be set to another value, which is not limited in the present application.
Step S103, if yes, acquiring the time length of equipment awakening;
the whole time length from the shutdown to the startup of the device can be realized by software monitoring.
Step S104, calculating to obtain the power consumption of the battery for starting the equipment according to the pre-stored current average value and the time length;
wherein, the average value of the current and the time length can be multiplied to obtain the power consumption of the battery;
and step S105, calculating the residual electric quantity of the battery according to the electric quantity of the current battery and the electric power consumption.
It is worth emphasizing that the above-mentioned devices are internet of things devices, such as parking space detecting meters, water meters, etc.; the Internet of things equipment has the characteristics that the power consumption of single equipment is low, but the quantity is huge.
The following examples illustrate details:
battery constant voltage segment (from about full to 10%):
and the hardware does not detect the voltage and the current, only reads the duration length of the awakening execution of the equipment, and reports the duration length to the server.
And calculating the power consumption by adopting a software method at the server side. And using the historical statistics current average value as the current average value of the current, and multiplying the current time length to calculate the current power consumption. And subtracting the current power consumption from the last residual power to obtain the current residual power. The server sends the residual electric quantity to the mobile phone of the user through a wired network or a wireless network; the prompting lamp for replacing the battery is not displayed on the equipment.
The battery electric quantity detection method is suitable for a scene that electric quantity cannot be obtained through voltage detection, and when the electric quantity percentage is larger than a preset threshold value, the current electric quantity can be calculated by the method.
In one embodiment, if the percentage of battery charge is less than or equal to a predetermined threshold, sampling the voltage value 1 time at predetermined time intervals during the wake-up of the device, and determining a corresponding charge value;
determining a predetermined number of electrical values;
calculating the average value of the electric quantity values except the maximum value and the minimum value in the preset quantity of electric quantity values;
and if the average value is smaller than the last electric quantity value, taking the electric quantity average value as a battery electric quantity value.
For example, the following steps are carried out:
non-constant voltage stage (10% to 0%) of battery electric quantity
The voltage of the battery is detected by using a single chip microcomputer by using a hardware method in the existing calculation, and the residual electric quantity is obtained correspondingly.
The voltage value is read 1 time every 1 second during each wake-up of the device. And (4) reserving the last 10 times of reading values of the equipment before reporting the electric quantity by using a sliding window mode (the specific times are optimized according to occasions). During sampling, time periods with large instantaneous power consumption of equipment are avoided as much as possible, and the time periods should be dispersed as much as possible. And eliminating the maximum value and the minimum value in the 10 readings, and averaging the rest 8 readings to obtain an average value.
If the average value is less than the last valid charge value for the device, the average value a is recorded and stored in the device.
And after 2 subsequent awakenings of the equipment, obtaining a new average value by using the same method, and if the new average values are all smaller than the average value A, considering that the average value A is valid. And taking the average value A as the latest effective electric quantity reading value, storing the latest effective electric quantity reading value in the equipment, and reporting the latest effective electric quantity reading value to the server.
And repeating the steps to start a new round of electric quantity calculation.
When the calculated electric quantity is very low, the server sends prompt information to the mobile phone of the user; prompting the user that the battery needs to be replaced. The equipment can also flash the light prompt as appropriate, so that the visual identification of field maintenance personnel is facilitated.
The device may include any device using a lithium subcell; the equipment is provided with an indicator light which is connected with the singlechip; the singlechip is connected with the battery; for detecting the battery charge. The circuit diagrams for detecting the electric quantity of the battery by using the single chip microcomputer are all in the prior art, and are not repeated in the application.
To ensure that the average is valid, in one embodiment, the method further comprises: verifying whether the average is valid, including:
waking up the device for a plurality of times;
determining the average value of the electric quantity calculated by the awakening equipment each time;
judging whether the average value of the plurality of electric quantities is smaller than the average value;
and if the average value of the plurality of electric quantities is smaller than the average value, determining the average value as valid.
In one embodiment, the method further comprises: if it is determined that the battery charge is less than a predetermined threshold, then one or more of the following is undertaken:
sending out prompt information for replacing the battery;
the indicator light flashes.
Corresponding to the method, the application also provides a battery power detection device, which refers to the schematic diagram of the battery power detection device shown in fig. 2; the device includes:
an obtaining module 21, configured to obtain a current battery power;
the processing module 22 is configured to determine whether the percentage of the battery power is greater than a predetermined threshold;
if yes, acquiring the time length of equipment awakening;
calculating the power consumption of the battery for starting the equipment according to the pre-stored current average value and the time length;
and calculating the residual electric quantity of the battery according to the electric quantity of the current battery and the electric power consumption.
In one embodiment, the processing module 22 is further configured to, if the battery power percentage is greater than or equal to the predetermined threshold, sample the voltage value 1 time at a predetermined time interval during the wake-up of the device, and determine a corresponding power value;
determining a predetermined number of electrical values;
calculating the average value of the electric quantity values except the maximum value and the minimum value in the preset quantity of electric quantity values;
and if the average value is smaller than the last electric quantity value, taking the electric quantity average value as a battery electric quantity value.
In one embodiment, the processing module 22 is further configured to verify whether the average is valid, including:
waking up the device for a plurality of times;
determining the average value of the electric quantity calculated by the awakening equipment each time;
judging whether the average value of the plurality of electric quantities is smaller than the average value;
if both are less than the average value, the average value is determined to be valid.
In one embodiment, the processing module 22 is further configured to, if it is determined that the battery charge is less than the predetermined threshold, take one or more of the following:
sending out prompt information for replacing the battery;
the indicator light flashes.
The battery detection method of the present application has the following effects:
1. the hardware cost is reduced without increasing extra hardware cost, the hardware cost is very important for massive deployed Internet of things equipment, and if each piece of equipment is saved by 10 yuan, the whole system can be saved by more than hundreds of thousands.
2. The accuracy of the electric quantity display algorithm can be optimized only through the server without updating the firmware of the equipment, and the optimization deployment difficulty is reduced.
3. The electric quantity reading is reliable, and the electric quantity reading of the equipment resists environmental interference: experience abnormity such as electric quantity suddenly rising, uncharged but electric quantity rising can not occur.
4. Through network and scene pilot lamp, accurate warning user battery power exhausts, needs to change.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (8)
1. A battery power detection method is characterized by comprising the following steps:
acquiring the current battery capacity;
judging whether the percentage of the electric quantity of the battery is larger than a preset threshold value or not;
if yes, acquiring the time length of equipment awakening;
calculating the power consumption of the battery for starting the equipment according to the pre-stored current average value and the time length;
and calculating the residual electric quantity of the battery according to the electric quantity of the current battery and the electric power consumption.
2. The battery power detection method of claim 1, wherein if the battery power percentage is greater than or equal to a predetermined threshold, 1 voltage value is sampled at predetermined time intervals during the wake-up of the device, and a corresponding power value is determined;
determining a predetermined number of electrical values;
calculating the average value of the electric quantity except the maximum value and the minimum value in the preset quantity of electric quantity values;
and if the electric quantity average value is smaller than the last electric quantity value, taking the electric quantity average value as a battery electric quantity value.
3. The battery power detection method of claim 1, further comprising: verifying whether the average is valid, including:
waking up the device for a plurality of times;
determining the average value of the electric quantity calculated by the awakening equipment each time;
judging whether the average value of the plurality of electric quantities is smaller than the average value;
if both are less than the average value, the average value is determined to be valid.
4. The battery power detection method of claim 1, further comprising: if it is determined that the battery charge is less than a predetermined threshold, then one or more of the following is undertaken:
sending out prompt information for replacing the battery;
the indicator light flashes.
5. A battery level detection apparatus, comprising:
the acquisition module is used for acquiring the current battery electric quantity;
the processing module is used for judging whether the battery electric quantity percentage is larger than a preset threshold value or not;
if yes, acquiring the time length of equipment awakening;
calculating the power consumption of the battery for starting the equipment according to the pre-stored current average value and the time length;
and calculating the residual electric quantity of the battery according to the electric quantity of the current battery and the electric power consumption.
6. The battery power detection apparatus of claim 5, wherein the processing module is further configured to sample the voltage value 1 time at a predetermined time interval during the wake-up of the device and determine a corresponding power value if the battery power percentage is greater than or equal to the predetermined threshold;
determining a predetermined number of electrical values;
calculating the average value of the electric quantity except the maximum value and the minimum value in the preset quantity of electric quantity values;
and if the electric quantity average value is smaller than the last electric quantity value, taking the electric quantity average value as a battery electric quantity value.
7. The battery level detection apparatus of claim 5, wherein the processing module is further configured to verify whether the average is valid, comprising:
waking up the device for a plurality of times;
determining the average value of the electric quantity calculated by the awakening equipment each time;
judging whether the average value of the plurality of electric quantities is smaller than the average value;
if both are less than the average value, the average value is determined to be valid.
8. The battery level detection apparatus of claim 5, wherein the processing module is further configured to, if it is determined that the battery level is less than a predetermined threshold, take one or more of the following:
sending out prompt information for replacing the battery;
the indicator light flashes.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010037629.9A CN111157901A (en) | 2020-01-14 | 2020-01-14 | Battery electric quantity detection method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010037629.9A CN111157901A (en) | 2020-01-14 | 2020-01-14 | Battery electric quantity detection method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111157901A true CN111157901A (en) | 2020-05-15 |
Family
ID=70563239
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010037629.9A Pending CN111157901A (en) | 2020-01-14 | 2020-01-14 | Battery electric quantity detection method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111157901A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112731188A (en) * | 2020-12-25 | 2021-04-30 | 西安中星测控有限公司 | Battery electric quantity statistical method and device |
Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20050101955A (en) * | 2004-04-20 | 2005-10-25 | 엘지전자 주식회사 | Battery residual amount alarm method for mobile communication terminal |
CN101477178A (en) * | 2009-02-06 | 2009-07-08 | 上海华勤通讯技术有限公司 | Detection method and detection system for battery service time |
CN101621557A (en) * | 2008-06-30 | 2010-01-06 | 乐金电子(中国)研究开发中心有限公司 | Method for displaying battery capacity of mobile communication terminal and mobile communication terminal thereof |
CN103259924A (en) * | 2013-04-15 | 2013-08-21 | 广东欧珀移动通信有限公司 | Method and system for dynamically regulated electric quantity display under low electric quantity of intelligent terminal |
CN104316882A (en) * | 2014-07-08 | 2015-01-28 | 北京鸿智电通科技有限公司 | Method and device for detecting residual capacity of mobile power supply |
CN105548905A (en) * | 2016-01-12 | 2016-05-04 | 浙江德景电子科技有限公司 | Method and system for testing battery electricity quantity |
CN107907832A (en) * | 2017-09-29 | 2018-04-13 | 金卡智能集团股份有限公司 | Measuring instrument remaining battery capacity calculation method |
CN107976634A (en) * | 2017-11-15 | 2018-05-01 | 张碧陶 | A kind of Forecasting Methodology and its forecasting system of electronic lock remaining capacity |
CN108120939A (en) * | 2017-12-23 | 2018-06-05 | 武汉瑞纳捷电子技术有限公司 | A kind of active card battery power amount calculation method |
CN108445407A (en) * | 2018-03-19 | 2018-08-24 | 浙江国自机器人技术有限公司 | A kind of detection method of quantity of electricity, device and computer readable storage medium |
CN108663623A (en) * | 2017-04-01 | 2018-10-16 | 惠州市新思为电子科技有限公司 | Lithium manganese disposable battery electricity computational methods and tracker in super long standby time tracker |
CN108845272A (en) * | 2018-08-28 | 2018-11-20 | 浙江吉利汽车研究院有限公司 | A kind of monitoring of vehicle-loaded battery electricity quantity and alarm set and method |
CN108931741A (en) * | 2018-09-18 | 2018-12-04 | 深圳市格瑞普智能电子有限公司 | Battery pack remaining capacity monitoring method and system |
CN109270467A (en) * | 2017-07-18 | 2019-01-25 | 美的智慧家居科技有限公司 | The battery electricity detection method and device of equipment |
CN109633478A (en) * | 2018-12-30 | 2019-04-16 | 蜂巢能源科技有限公司 | Battery capacity prediction system and prediction technique |
-
2020
- 2020-01-14 CN CN202010037629.9A patent/CN111157901A/en active Pending
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20050101955A (en) * | 2004-04-20 | 2005-10-25 | 엘지전자 주식회사 | Battery residual amount alarm method for mobile communication terminal |
CN101621557A (en) * | 2008-06-30 | 2010-01-06 | 乐金电子(中国)研究开发中心有限公司 | Method for displaying battery capacity of mobile communication terminal and mobile communication terminal thereof |
CN101477178A (en) * | 2009-02-06 | 2009-07-08 | 上海华勤通讯技术有限公司 | Detection method and detection system for battery service time |
CN103259924A (en) * | 2013-04-15 | 2013-08-21 | 广东欧珀移动通信有限公司 | Method and system for dynamically regulated electric quantity display under low electric quantity of intelligent terminal |
CN104316882A (en) * | 2014-07-08 | 2015-01-28 | 北京鸿智电通科技有限公司 | Method and device for detecting residual capacity of mobile power supply |
CN105548905A (en) * | 2016-01-12 | 2016-05-04 | 浙江德景电子科技有限公司 | Method and system for testing battery electricity quantity |
CN108663623A (en) * | 2017-04-01 | 2018-10-16 | 惠州市新思为电子科技有限公司 | Lithium manganese disposable battery electricity computational methods and tracker in super long standby time tracker |
CN109270467A (en) * | 2017-07-18 | 2019-01-25 | 美的智慧家居科技有限公司 | The battery electricity detection method and device of equipment |
CN107907832A (en) * | 2017-09-29 | 2018-04-13 | 金卡智能集团股份有限公司 | Measuring instrument remaining battery capacity calculation method |
CN107976634A (en) * | 2017-11-15 | 2018-05-01 | 张碧陶 | A kind of Forecasting Methodology and its forecasting system of electronic lock remaining capacity |
CN108120939A (en) * | 2017-12-23 | 2018-06-05 | 武汉瑞纳捷电子技术有限公司 | A kind of active card battery power amount calculation method |
CN108445407A (en) * | 2018-03-19 | 2018-08-24 | 浙江国自机器人技术有限公司 | A kind of detection method of quantity of electricity, device and computer readable storage medium |
CN108845272A (en) * | 2018-08-28 | 2018-11-20 | 浙江吉利汽车研究院有限公司 | A kind of monitoring of vehicle-loaded battery electricity quantity and alarm set and method |
CN108931741A (en) * | 2018-09-18 | 2018-12-04 | 深圳市格瑞普智能电子有限公司 | Battery pack remaining capacity monitoring method and system |
CN109633478A (en) * | 2018-12-30 | 2019-04-16 | 蜂巢能源科技有限公司 | Battery capacity prediction system and prediction technique |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112731188A (en) * | 2020-12-25 | 2021-04-30 | 西安中星测控有限公司 | Battery electric quantity statistical method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20120016608A1 (en) | Method and system for monitoring residential appliances | |
CN101097248A (en) | Enhanced-accuracy battery capacity prediction | |
CN110829590B (en) | Intelligent monitoring system, method, platform and storage medium for line loss of transformer area | |
TWI491901B (en) | Battery metering method, metering device and battery-powered equipment | |
CN102156265A (en) | Device and method for testing health state of battery | |
CN110764014A (en) | Method and device for detecting short circuit in battery, terminal and readable storage medium | |
CN109001645B (en) | Elevator battery detection method, device, equipment and storage medium | |
CN110888074B (en) | Voltage determination method and device for SOC initial value calculation | |
CN109100674B (en) | Metering method based on distributed electric energy, error detection method and device | |
CN114047472A (en) | Metering error monitoring system of intelligent electric meter and monitoring method and device thereof | |
CN111157901A (en) | Battery electric quantity detection method and device | |
CN111596215A (en) | Storage battery state monitoring method and device and storage medium | |
CN110807563A (en) | Big data-based equipment life prediction system and method | |
CN116879760B (en) | Historical overcharge fault diagnosis method and device for retired power battery | |
CN111781521B (en) | Method for detecting storage battery of vehicle and battery detection equipment | |
CN112714368B (en) | Method and device for prompting abnormal electricity consumption, computer equipment and storage medium | |
CN112363071A (en) | Non-rechargeable battery residual capacity estimation system and method and electronic equipment | |
CN115201698B (en) | Method and system for evaluating health state of battery | |
CN110824401A (en) | Reliability monitoring method, system, equipment and storage medium of BBU (baseband unit) electricity meter | |
KR20200100311A (en) | System and Method for Monitoring Electric Energy of an Electric Vehicle Charging Station | |
US20200256903A1 (en) | Voltage rating validator for advanced metering | |
CN218213189U (en) | Electric energy meter circuit convenient for measuring battery life | |
CN114019401B (en) | SOC-OCV curve updating method and equipment | |
CN111551867B (en) | Battery service life detection method and device, and battery replacement reminding method and device | |
CN116430299A (en) | Electric energy meter measuring method, controller and electric energy meter |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200515 |
|
RJ01 | Rejection of invention patent application after publication |