CN101853166A - Application-oriented method and system for indicating use time of intelligent mobile phone battery - Google Patents
Application-oriented method and system for indicating use time of intelligent mobile phone battery Download PDFInfo
- Publication number
- CN101853166A CN101853166A CN201010193641.5A CN201010193641A CN101853166A CN 101853166 A CN101853166 A CN 101853166A CN 201010193641 A CN201010193641 A CN 201010193641A CN 101853166 A CN101853166 A CN 101853166A
- Authority
- CN
- China
- Prior art keywords
- battery
- time
- electric quantity
- application program
- application
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000005070 sampling Methods 0.000 claims abstract description 29
- 238000012544 monitoring process Methods 0.000 claims description 22
- 230000008569 process Effects 0.000 claims description 17
- 230000002045 lasting effect Effects 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000008676 import Effects 0.000 claims description 2
- 238000004321 preservation Methods 0.000 claims 1
- 230000002123 temporal effect Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000036962 time dependent Effects 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Landscapes
- Telephone Function (AREA)
Abstract
The invention discloses an application program-oriented method and an application program-oriented system for indicating the use time of an intelligent mobile phone battery, and belongs to the field of embedded system application software. The method comprises the following steps of: I, sampling each application on the mobile phone and calculating battery discharge rate parameters corresponding to various specific application programs; and II, according to the discharge rate parameter, forecasting the remaining use time of the battery under the condition of the continuous execution of the application program, and forecasting the sustainable execution time of other application programs appointed by a user under the condition of the current electric quantity of the battery. The system can be implemented specifically in an intelligent mobile phone operating system by the method. The method and the system indicate the remaining use time of the battery in the intelligent mobile phone, indicate the sustainable execution time of the specific application programs about which users concern, make the battery electric quantity indicating function of the intelligent mobile phone more humanistic and have good market prospect and application value.
Description
Technical field
The invention belongs to embedded system application software field, be specifically related to a kind of intelligent mobile phone battery indicating means service time and system of application program-oriented method.
Background technology
Along with arithmetic capability, memory capacity, the multimedia processing capability fast development of embedded system, the application that smart mobile phone can be supported is more and more, and function develops towards variation, personalized direction from strength to strength.Yet the development of battery technology is very slow, is difficult to satisfy the demand of smart mobile phone equipment to electric weight.The subject matter that smart mobile phone faces is service time and the user experience that limited battery capacity has limited equipment.In order to address this problem, people research and develop and cut down the consumption of energy, improve each class methods of battery service efficiency on the one hand; Be exactly by improving smart mobile phone and user's man-machine interaction method, improving user's experience on the other hand.
Smart mobile phone is typical interactive device, user and system are mainly reflected in two aspects alternately: 1) smart mobile phone is by display or audible device, to user's indication mechanism current operation conditions and battery behaviour in service, for example show the battery electric quantity of current residual; 2) input equipment and the menu of user by smart mobile phone starts or stops application program, and the pattern of regulation and control using system for example starts different application, perhaps allows cell phone standby.
Therefore, from the angle relevant with battery electric quantity, a kind of method that improves user experience is exactly the battery electric quantity deixis that can provide good on smart mobile phone, accurately and timely remaining battery is offered the user with reasonable manner service time; Perhaps can indicate: if the user continues to carry out certain application-specific (as making a phone call, see video, browsing page) to the user, the time of the sustainable use of mobile phone, so that the user, regulates the mobile phone of oneself and uses pattern the mobile phone expectation of service time according to own.
On the present existing mobile phone, great majority all are the number percent that shows remaining battery power with the bar graph of 5-7 lattice, the user can't obtain the mobile phone residue information of service time, also can't know and oneself carry out under certain operational circumstances, the accurate situation of mobile phone residue variation service time, inconvenient user makes rational use decision-making.
Summary of the invention
The objective of the invention is to make the smart mobile phone user can obtain information in the mode that battery of mobile phone remains service time about remaining capacity of mobile phone battery, can also obtain under current electric quantity, the information of certain sustainable execution time of application-specific is so that the user regulates use to mobile phone according to own expectation to mobile phone service time.
In the method, introduced the notion of the discharge rate of battery of application program correspondence, promptly set up discharge rate of battery related with the application-specific load.Studies show that, stablize in the implementation, cause the average load of smart mobile phone relatively stable, thereby make that the discharge rate of lithium battery is relatively stable in application-specific.Utilize monitoring technology that the discharge rate of battery in the application-specific implementation is calculated and stores, just can be in the smart mobile phone use, at any time according to this discharge rate of battery and current battery electric quantity, the residue service time of performance prediction battery of mobile phone and sustainable execution time of application-specific.
Specifically, remaining battery indicating means service time that the present invention is directed to smart mobile phone comprises the following steps:
A. to various application programs that can be monitored, set up a time point-battery electric quantity data to sequence by the sampling of a period of time, its implementation is:
A1. obtain the process identification number or the process name of various application programs that can be monitored, form the application list.Described " application program " is the Any Application on the smart mobile phone, for example video player, MP3 player, browser, text editor, address list management device, reader etc.
A2. obtain current program process identification number or the process name that is moving, be designated as P
i(1≤i).
A3. at described P
iAfter stable the execution, since a time point sampling.The system call or the Runtime Library function that utilize operating system to provide read battery electric quantity C
0(representing), and operating system time T at that time with percentages
0Get c
0=C
0, t
0=0, be designated as (t
0, c
0), right as first time point-battery electric quantity, be kept at internal memory, perhaps write in the file.Described " operating system " provides any operation system of smart phone that this type of calls, existing operating system such as Android, Symbian, Windows Mobile for example, and other issue but will comprise the operation system of smart phone that this type of calls as yet.Described " operating system time ", be meant Greenwich Mean Time, or the relative time that provides of operating system.
A4. whenever the moment that the intelligent mobile phone battery electric weight changes, once sample, the data that obtain are to being designated as (T
i, C
i).Get c
i=C
i, t
i=T
i-T
0, be designated as (t
i, c
i), right as i time point-battery electric quantity, join in the sample sequence;
A5. when reaching sampling number threshold value N, sampling number stops sampling.Initially be called the sampling time during this period of time from sampling to what finish.With (t
0, c
0), (t
1, c
1) ... (t
N, c
N) time point-battery electric quantity of expression in the described sampling time is to sequence, N is the sampling number threshold value.Described " sampling number threshold value N " should guarantee that the sampled data that is obtained can characterize this application program or the corresponding discharge rate of battery feature of operation, can regulate according to different application programs, and span is 2～100.
B. calculate in steps A in the described sampling time described P
iCorresponding discharge rate of battery parameter k
i(discharge rate: battery electric quantity variable quantity in the unit interval comprises such as using voltage, the various variable quantities that electric current, parameters such as power are represented).Implementation method is:
B1. utilize described time point-battery electric quantity to sequence, the battery discharge curve of structure application program correspondence in two-dimensional coordinate system, as shown in Figure 3.X-axis and Y-axis are respectively time and battery electric quantity (100 represent with interior integer form);
B2. utilize described time point-battery electric quantity that sequence is carried out linear fit and obtain the discharge rate curve, as shown in Figure 2.The discharge rate curve is designated as dr=a-k among the figure
i* t, wherein k
iBe the discharge curve slope absolute value, a is the charge value at the intersection point place of this curve and Y-axis;
B3. application program P
iDischarge rate parameter k with correspondence
iBe saved in internal memory or the file.
Consider along with the cell degradation degree changes, the discharge rate of intelligent mobile phone battery can change (when for example battery has just started and use half a year after), need be in the different operational phases of intelligent mobile phone battery, the discharge rate of battery parameter of monitoring and computing application program correspondence.
C. counting cell sustainable service time, be divided into two kinds of situations:
CA. according to the application program P that is moving in the current system
iCounting cell sustainable service time.Method is:
CA1. at any time, obtain the sign of the current application program of carrying out, be designated as P
i
CA2. obtain described P
iCorresponding battery discharge parameter k
iThe battery electric quantity C current with mobile phone;
CA3. obtain the electric weight C that sign electric weight default in the operating system uses up
0, default value is 2;
CA4. be T=(C-C the sustainable service time of predicting battery
0)/(k
i).Time is represented in " hour: minute " mode;
CB. calculate the sustainable service time of battery of application-specific correspondence according to the current residual electric weight.Method is:
CB1. obtain current battery electric quantity C;
CB2. obtain the application list of having set up the discharge rate of battery parameter in the native system, described the application list can be configured by the user, selects the user's interest application-specific;
CB3. obtain described application program identification, be designated as P
j, and corresponding discharge rate of battery parameter k
j, calculate described P
jThe sustainable execution time be: T=(C-C
0)/(k
j).
D. upgrade designation data and demonstration.Following several processing mode is arranged:
Regular update shows remaining battery service time, and " regularly " default time is 1 minute, can be configured to other times by the user.
When battery electric quantity changed, update displayed remaining battery service time, this mode can be selected by the user.
When the user activates new application program or operation, the lasting execution time of upgrading described application program;
When the user selects to check under the current battery electric quantity, during lasting execution time of the application-specific that it is concerned about, upgrade the described time.
The present invention comprises the software systems of service time of pilot cell in a kind of operation system of smart phone simultaneously, and this system can calculate on smart mobile phone and show:
1) under the situation that current application program of mobile phone moves always, the residue service time of current battery;
2) for the application program of mobile phone of user's appointment, the residue service time of current battery;
Wherein the display format of remaining battery service time is hour/minute.
The implementation method of this system adopts method above-mentioned, and simultaneously, the cellphone subscriber can be provided with sampling threshold values, time indicating mode, default battery by this system and use up the time interval that charge value, regular update show, the application-specific of care; Adopt system default value under the situation that the user is not provided with.
Advantage of the present invention is can the perception user to use the current application program situation of mobile phone, provide the remaining battery that meets user psychology demand indication information service time to the user, thereby help the user to make corresponding selection according to the expectation of oneself, make and the battery electric quantity deixis hommization more of smart mobile phone have good market outlook and using value.
Description of drawings
Fig. 1: intelligent mobile phone battery residue indicating means process flow diagram service time;
Fig. 2: smart mobile phone discharge curve and the diagram of remaining battery forecast model service time;
Fig. 3: the discharge curve of HTC-G1 smart mobile phone VideoPlayer and discharge rate curve map;
Fig. 4: the discharge curve of HTC-G1 smart mobile phone MusicPlayer and discharge rate curve map;
Fig. 5: intelligent mobile phone battery residue system chart service time.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described by a battery of mobile phone indicator service time embodiment who is enclosed within on the HTC-G1 smart mobile phone.
Realize an application system as shown in Figure 5, each module declaration is as follows:
1) user configuration module is used to allow the user that sampling threshold values, time indicating mode, default battery are set and uses up the time interval that charge value, regular update show, the information such as application-specific of care.Wherein the application-specific information of user's care is the information that must import, and under the not specified situation of user, system only shows the residue service time of current application program; All the other configuration informations are alternate information, and under situation about not importing, system adopts default information.
2) monitoring modular is used for from process identification (PID), battery electric quantity, the timestamp information of the current operation of computer system monitoring;
3) MBM is used to utilize the time point-battery electric quantity data of monitoring acquisition right, the counting cell discharge rate.The method that realizes is shown in method B2;
4) memory module is used for the information such as discharge rate that the various settings the user, application program identification that monitoring modular obtains and MBM calculate and is saved in the file;
5) prediction module, the remaining battery service time that is used to calculate each application program correspondence.The method such as the method CA that realize are shown in the CB;
6) sampling module is used to read current process identification (PID) and battery electric quantity information;
7) display module is used to show battery in the execution current application program, perhaps the sustainable service time under the application instance of other users' care.The method that realizes is shown in method D.
Relation between the module is as follows:
1) user configuration module is issued monitoring modular with information such as sampling thresholds, and information such as display mode are sent to display module;
2) monitoring modular sends to memory module with Monitoring Data;
3) MBM obtains Monitoring Data from memory module, will calculate gained discharge rate information and send to memory module;
4) adopt module that sampled data is sent to prediction module;
5) prediction module obtains discharge rate information from memory module, obtains sampled data from sampling module; To calculate the gained result and send to display module;
6) display module according to user's configuration, is presented at the battery service time that obtains on the screen.
Method flow diagram as shown in Figure 1.The inventive method comprises: the 1) modelling phase: a) monitoring on the mobile phone various application-specific term of execution the, the time dependent numerical information of battery electric quantity; B) the discharge rate of battery parameter of the various application-specific correspondences of calculating; 2) forecast period: c) at mobile phone between the operating period, the point sometime in the application-specific implementation, prediction continues under implementation status in this application program, the residue service time of battery; D) predict under existing battery electric quantity situation the sustainable execution time of other application programs of user's appointment; E) upgrade designation data and demonstration.Concrete steps are as follows:
1. various application programs are carried out or operating period on the monitoring mobile phone, the time dependent numerical information of battery electric quantity.The step of concrete monitoring is described below:
A) obtain StandBy (standby), MusicPlayer (music player), VideoPlayer (video player) Readbook program process identification number or process names such as (reading machines), form " the application list ";
B) with VideoPlayer as the current application program of moving, its sign is designated as P
i
C) at P
iAfter stable, since a time point sampling.The operating system time of first sampled point is 23:40:55, and battery electric quantity numerical value is 86.The data that obtain are to (t
0, c
0) be (0,86).
D) whenever the moment that battery electric quantity changes, once sample, sample altogether 10 times.The data that obtain see Table 1 to sequence:
Table 1HTC-G1 smart mobile phone operation VideoPlayer battery electric quantity sampled data
2. calculate in step 1 in the described sampling time described P
iCorresponding discharge rate of battery parameter k
iConcrete steps are as follows:
A) utilize the described time point-battery electric quantity of table 1 to sequence, the battery discharge curve of structure application program correspondence in two-dimensional coordinate system.As shown in Figure 3.
B) utilize described time point-battery electric quantity to sequence, carry out linear fit, calculate first order curve slope absolute value k
i=0.55.Black line among Fig. 3 is the discharge rate curve.
According to step 1 and step 2, other application programs are monitored and calculated, as space is limited, this sentences MusicPlayer is that example describes, and omits the Monitoring Data and the discharge rate of battery parameter value of other application program.MusicPlayer is monitored and calculates, obtain corresponding battery discharge curve and discharge rate curve, as shown in Figure 4.Discharge rate rate of curve absolute value k wherein
j=0.61.
3. predict any time in VideoPlayer continuation playing process, the sustainable service time of battery.The concrete steps of prediction are as follows:
A) hypothesis VideoPlayer is to begin in 86 o'clock to play from electric weight, and remembers that time beginning is 0.When VideoPlayer continues to be played to the 20th minute, the sign of the current application program of carrying out is designated as P
i
B) obtain described P
iCorresponding battery discharge parameter K
i=0.55 and the current battery electric quantity C=75 of mobile phone;
C) obtain the electric weight C that sign electric weight default in the operating system exhausts
0=2;
D) prediction remaining battery service time is T=(C-C
0)/(K
j)=133 minute are expressed as " 2 hours 13 minutes ".
4. predict under existing battery electric quantity situation the sustainable execution time of application-specific.The concrete steps of prediction are as follows:
A) obtain current battery electric quantity C=75;
B) obtain the application list of having set up the discharge rate of battery parameter in the native system;
C) each list item of traversal of lists, carry out following steps:
I obtains the sign of MusicPlayer application program in the described list item, is designated as P
jAnd corresponding discharge rate of battery absolute value k
j=0.61;
Ii calculates described P
jThe sustainable execution time be: T=(C-C
0)/(k
j)=(75-2)/0.61=119 minute, be expressed as " 1 hour 59 minutes "
5. renewal designation data, and show.Concrete steps are as follows:
A) whenever battery electric quantity reduces by 1 grade, update displayed remaining power service time.
B) when user's activated at any time VideoPlayer application program,, upgrade the VideoPlayer application program and continue the execution time according to above Forecasting Methodology.
C) select to check under the current battery electric quantity as the user, during lasting execution time of each application program (comprising MusicPlayer) that it is concerned about, upgrade the described time.Show below the information shown in the table:
In the present embodiment, utilize this method VideoPlayer operation 20 minutes, battery electric quantity is 75 o'clock, and it is 133 minutes that the prediction mobile phone remains service time, and be 128 minutes the lasting service time of actual measurement, and predicated error is 3.7%.If at battery electric quantity is 75 o'clock, start MusicPlayer, predict that the sustainable execution time is 120 minutes, the actual execution 119 minutes, predicated error is 0.6%.As seen this method can provide effective indication for the user, is convenient to the operation of user according to expectation adjusting oneself, improves the user experience effect.
It should be noted that at last the purpose of publicizing and implementing example is to help further to understand the present invention, but it will be appreciated by those skilled in the art that: without departing from the spirit and scope of the invention and the appended claims, various substitutions and modifications all are possible.Therefore, the present invention should not be limited to the disclosed content of embodiment, and the scope of protection of present invention is as the criterion with the scope that claims define.
Claims (10)
1. the method for pilot cell service time in the operation system of smart phone is characterized in that, may further comprise the steps:
A. to various application programs that can be monitored, set up a time point-battery electric quantity data to sequence by the sampling of a period of time;
B. the sequence that obtains in the steps A is calculated, obtained the discharge rate and the preservation of each application program;
C. counting cell sustainable service time, be divided into two kinds of situations:
CA. according to the sustainable service time of moving in the current system of application computes battery;
CB. calculate the sustainable service time of battery of application-specific correspondence according to the current residual electric weight;
D. upgrade designation data and demonstration.
2. the method for claim 1 is characterized in that, the implementation method of steps A is:
A1. obtain the process identification number or the process name of various application programs that can be monitored, form the application list;
A2. obtain current program process identification number or the process name that is moving;
A3. after the stable execution of described process, since a time point sampling, method is: the system call or the Runtime Library function that utilize operating system to provide read battery electric quantity, and the operating system time at that time, right as first time point-battery electric quantity, be saved in the sample sequence;
A4. whenever the moment that the intelligent mobile phone battery electric weight changes, once sample, obtain time-the battery electric quantity data are right, and are right as a new time point-battery electric quantity, join in the sample sequence;
A5. when reaching the sampling number threshold value, sampling number stops sampling;
3. the method for claim 1 is characterized in that, the implementation method of step B is:
B1. utilize described time point-battery electric quantity to sequence, the battery discharge curve of structure application program correspondence in two-dimensional coordinate system;
B2. utilize described time point-battery electric quantity that sequence is carried out linear fit and obtain the discharge rate curve, the absolute value of discharge curve slope is discharge rate;
B3. application program and corresponding discharge rate are saved in internal memory or the file.
4. the method for claim 1 is characterized in that, the implementation method of step CA is:
CA1. obtain the sign of the current application program of carrying out;
CA2. obtain the battery discharge parameter and the current battery electric quantity of mobile phone of described application program correspondence;
CA3. obtain the electric weight that sign electric weight default in the operating system uses up;
CA4. be the sustainable service time of battery: the discharge rate of (current electric quantity-sign uses up electric weight)/this application program;
5. the method for claim 1 is characterized in that, the implementation method of step CB is:
CB1. obtain current battery electric quantity;
CB2. obtain the application list of having set up discharge rate of battery in the native system;
CB3. the discharge rate of sustainable execution time of computing application program=(current electric quantity-sign uses up electric weight)/this application program.
6. the method for claim 1 is characterized in that, step D has following several processing mode:
Regular update shows remaining battery service time;
When battery electric quantity changes, update displayed remaining battery service time;
When the user activates new application program or operation, the lasting execution time of upgrading described application program;
When the user selects to check under the current battery electric quantity, during lasting execution time of the application-specific that it is concerned about, upgrade the described time.
7. the software systems of pilot cell service time in the operation system of smart phone is characterized in that the implementation method of this system is shown in claim 1; This system can calculate on smart mobile phone and show:
1) under the situation that current application program of mobile phone moves always, the residue service time of current battery;
2) for the application program of mobile phone of user's appointment, the residue service time of current battery;
8. software systems as claimed in claim 7 is characterized in that, the display format that remains service time is hour/minute.
9. software systems as claimed in claim 7 is characterized in that, this system adopts following several module to realize:
1) user configuration module is used to allow the user that sampling threshold values, time indicating mode, default battery are set and uses up the time interval that charge value, regular update show, the information such as application-specific of care.Wherein the application-specific information of user's care is the information that must import, and under the not specified situation of user, system only shows the residue service time of current application program; All the other configuration informations are alternate information, and under situation about not importing, system adopts default information.
2) monitoring modular is used for from process identification (PID), battery electric quantity, the temporal information of the current operation of computer system monitoring;
3) MBM is used to utilize the time point-battery electric quantity data of monitoring acquisition right, the counting cell discharge rate.The method that realizes is shown in method B2;
4) memory module is used for the information such as discharge rate that the various settings the user, application program identification that monitoring modular obtains and MBM calculate and is saved in the file;
5) prediction module, the remaining battery service time that is used to calculate each application program correspondence.The method such as the method CA that realize are shown in the CB;
6) sampling module is used to read current process identification (PID) and battery electric quantity information;
7) display module is used to show battery in the execution current application program, perhaps the sustainable service time under the application instance of other users' care.The method that realizes is shown in method D;
Relation between the module is as follows:
1) user configuration module receives the configuration information of user's input, and information such as sampling threshold are issued monitoring modular, and information such as display mode are sent to display module;
2) monitoring modular sends to memory module with Monitoring Data;
3) MBM obtains Monitoring Data from memory module, will calculate gained discharge rate information and send to memory module;
4) adopt module that sampled data is sent to prediction module;
5) prediction module obtains discharge rate information from memory module, obtains sampled data from sampling module; To calculate the gained result and send to display module;
6) display module according to user's configuration, is presented at the battery service time that obtains on the screen.
10. software systems as claimed in claim 7 is characterized in that, the cellphone subscriber is provided with sampling threshold values, time indicating mode, default battery by this system and uses up the time interval that charge value, regular update show, the application-specific of care; Adopt system default value under the situation that the user is not provided with.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010193641.5A CN101853166B (en) | 2010-06-07 | 2010-06-07 | Application-oriented method and system for indicating use time of intelligent mobile phone battery |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010193641.5A CN101853166B (en) | 2010-06-07 | 2010-06-07 | Application-oriented method and system for indicating use time of intelligent mobile phone battery |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101853166A true CN101853166A (en) | 2010-10-06 |
| CN101853166B CN101853166B (en) | 2013-04-10 |
Family
ID=42804675
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201010193641.5A Expired - Fee Related CN101853166B (en) | 2010-06-07 | 2010-06-07 | Application-oriented method and system for indicating use time of intelligent mobile phone battery |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101853166B (en) |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102736512A (en) * | 2011-04-15 | 2012-10-17 | 国基电子（上海）有限公司 | Electronic device and system time setting method thereof |
| US20130006554A1 (en) * | 2011-07-01 | 2013-01-03 | Altek Corporation | Electronic device with electricity recording function and electricity recording method thereof |
| CN102937830A (en) * | 2012-07-19 | 2013-02-20 | 北京金山安全软件有限公司 | Electric quantity management method and device of mobile equipment and mobile equipment |
| CN103198256A (en) * | 2012-01-10 | 2013-07-10 | 凹凸电子（武汉）有限公司 | Detection system and method for detecting state of application program |
| CN103985895A (en) * | 2014-04-17 | 2014-08-13 | 小米科技有限责任公司 | Cell control method, device and terminal |
| CN104049217A (en) * | 2014-06-30 | 2014-09-17 | 深圳市中兴移动通信有限公司 | Detection method and device for use time of remaining capacity of battery |
| CN104090240A (en) * | 2014-06-30 | 2014-10-08 | 深圳市中兴移动通信有限公司 | Method and device for updating left service time of battery and mobile terminal |
| CN104239191A (en) * | 2014-09-09 | 2014-12-24 | 可牛网络技术（北京）有限公司 | Method and device for displaying electric quantity of mobile terminal and mobile terminal |
| CN104244396A (en) * | 2013-06-11 | 2014-12-24 | 国际商业机器公司 | Method and system for wirelessly syncing content |
| CN104346256A (en) * | 2013-07-23 | 2015-02-11 | 贝壳网际（北京）安全技术有限公司 | Method and device for acquiring power consumption information of application program and mobile terminal |
| CN104461846A (en) * | 2014-12-02 | 2015-03-25 | 百度在线网络技术（北京）有限公司 | Method and device for detecting power consumption of application program |
| CN105182241A (en) * | 2015-07-11 | 2015-12-23 | 李洪江 | Solar battery power remaining service time displaying method and solar power supply system |
| CN105404578A (en) * | 2014-09-10 | 2016-03-16 | 腾讯科技（深圳）有限公司 | Method and apparatus for displaying memory occupied by application |
| CN105930207A (en) * | 2015-02-27 | 2016-09-07 | 三星电子株式会社 | Electronic device and application control method thereof |
| CN106375561A (en) * | 2016-08-29 | 2017-02-01 | 上海摩软通讯技术有限公司 | Mobile terminal and method of detecting surplus use time thereof |
| CN107843857A (en) * | 2017-12-18 | 2018-03-27 | 广州亚美信息科技有限公司 | A kind of measuring method of the automobile storage battery dump energy usage time based on OBD equipment |
| CN108540378A (en) * | 2018-04-24 | 2018-09-14 | 广州鲁邦通物联网科技有限公司 | A kind of method of industry things-internet gateway ladder power saving |
| CN113253121A (en) * | 2021-07-07 | 2021-08-13 | 江苏和晖电动工具有限公司 | Battery monitoring method, monitoring system and electric tool |
| CN117368763A (en) * | 2023-12-07 | 2024-01-09 | 深圳市百酷新能源有限公司 | Lithium battery management method, device, equipment and storage medium based on SOC algorithm |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323786B (en) * | 2013-06-24 | 2016-04-20 | 贝壳网际（北京）安全技术有限公司 | Method, device and equipment for detecting service life of battery |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6157169A (en) * | 1997-04-30 | 2000-12-05 | Samsung Electronics Co., Ltd. | Monitoring technique for accurately determining residual capacity of a battery |
| CN101009394A (en) * | 2006-01-25 | 2007-08-01 | 明基电通股份有限公司 | Power management device and method of the electronic system |
| CN101600264A (en) * | 2009-06-15 | 2009-12-09 | 中兴通讯股份有限公司 | A kind of dynamic demonstration mobile terminal standby time method and device thereof |
-
2010
- 2010-06-07 CN CN201010193641.5A patent/CN101853166B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6157169A (en) * | 1997-04-30 | 2000-12-05 | Samsung Electronics Co., Ltd. | Monitoring technique for accurately determining residual capacity of a battery |
| CN101009394A (en) * | 2006-01-25 | 2007-08-01 | 明基电通股份有限公司 | Power management device and method of the electronic system |
| CN101600264A (en) * | 2009-06-15 | 2009-12-09 | 中兴通讯股份有限公司 | A kind of dynamic demonstration mobile terminal standby time method and device thereof |
Cited By (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102736512B (en) * | 2011-04-15 | 2014-04-30 | 国基电子（上海）有限公司 | Electronic device and system time setting method thereof |
| CN102736512A (en) * | 2011-04-15 | 2012-10-17 | 国基电子（上海）有限公司 | Electronic device and system time setting method thereof |
| US20130006554A1 (en) * | 2011-07-01 | 2013-01-03 | Altek Corporation | Electronic device with electricity recording function and electricity recording method thereof |
| CN103198256A (en) * | 2012-01-10 | 2013-07-10 | 凹凸电子（武汉）有限公司 | Detection system and method for detecting state of application program |
| CN103198256B (en) * | 2012-01-10 | 2016-05-25 | 凹凸电子（武汉）有限公司 | For detection of detection system and the method for Application Status |
| US9298909B2 (en) | 2012-01-10 | 2016-03-29 | O2Micro, Inc. | Detecting status of an application program running in a device |
| CN102937830B (en) * | 2012-07-19 | 2016-02-17 | 北京金山安全软件有限公司 | Electric quantity management method and device of mobile equipment and mobile equipment |
| CN102937830A (en) * | 2012-07-19 | 2013-02-20 | 北京金山安全软件有限公司 | Electric quantity management method and device of mobile equipment and mobile equipment |
| CN104244396A (en) * | 2013-06-11 | 2014-12-24 | 国际商业机器公司 | Method and system for wirelessly syncing content |
| CN104346256B (en) * | 2013-07-23 | 2018-06-01 | 贝壳网际（北京）安全技术有限公司 | Method and device for acquiring power consumption information of application program and mobile terminal |
| CN104346256A (en) * | 2013-07-23 | 2015-02-11 | 贝壳网际（北京）安全技术有限公司 | Method and device for acquiring power consumption information of application program and mobile terminal |
| CN103985895A (en) * | 2014-04-17 | 2014-08-13 | 小米科技有限责任公司 | Cell control method, device and terminal |
| CN104090240A (en) * | 2014-06-30 | 2014-10-08 | 深圳市中兴移动通信有限公司 | Method and device for updating left service time of battery and mobile terminal |
| CN104049217A (en) * | 2014-06-30 | 2014-09-17 | 深圳市中兴移动通信有限公司 | Detection method and device for use time of remaining capacity of battery |
| CN104049217B (en) * | 2014-06-30 | 2019-02-15 | 努比亚技术有限公司 | Battery dump energy uses the detection method and device of time |
| CN104239191A (en) * | 2014-09-09 | 2014-12-24 | 可牛网络技术（北京）有限公司 | Method and device for displaying electric quantity of mobile terminal and mobile terminal |
| CN105404578A (en) * | 2014-09-10 | 2016-03-16 | 腾讯科技（深圳）有限公司 | Method and apparatus for displaying memory occupied by application |
| CN105404578B (en) * | 2014-09-10 | 2019-04-12 | 腾讯科技（深圳）有限公司 | Method and apparatus for showing the occupied memory of application program |
| CN104461846A (en) * | 2014-12-02 | 2015-03-25 | 百度在线网络技术（北京）有限公司 | Method and device for detecting power consumption of application program |
| CN104461846B (en) * | 2014-12-02 | 2017-11-03 | 百度在线网络技术（北京）有限公司 | The method and apparatus for detecting application program power consumption |
| CN105930207A (en) * | 2015-02-27 | 2016-09-07 | 三星电子株式会社 | Electronic device and application control method thereof |
| CN105930207B (en) * | 2015-02-27 | 2022-02-15 | 三星电子株式会社 | Electronic device and application control method thereof |
| CN105182241A (en) * | 2015-07-11 | 2015-12-23 | 李洪江 | Solar battery power remaining service time displaying method and solar power supply system |
| CN106375561A (en) * | 2016-08-29 | 2017-02-01 | 上海摩软通讯技术有限公司 | Mobile terminal and method of detecting surplus use time thereof |
| CN106375561B (en) * | 2016-08-29 | 2019-11-19 | 上海摩软通讯技术有限公司 | Mobile terminal and its remaining detection method for using the time |
| CN107843857A (en) * | 2017-12-18 | 2018-03-27 | 广州亚美信息科技有限公司 | A kind of measuring method of the automobile storage battery dump energy usage time based on OBD equipment |
| CN108540378A (en) * | 2018-04-24 | 2018-09-14 | 广州鲁邦通物联网科技有限公司 | A kind of method of industry things-internet gateway ladder power saving |
| CN113253121A (en) * | 2021-07-07 | 2021-08-13 | 江苏和晖电动工具有限公司 | Battery monitoring method, monitoring system and electric tool |
| CN117368763A (en) * | 2023-12-07 | 2024-01-09 | 深圳市百酷新能源有限公司 | Lithium battery management method, device, equipment and storage medium based on SOC algorithm |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101853166B (en) | 2013-04-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101853166B (en) | Application-oriented method and system for indicating use time of intelligent mobile phone battery | |
| Scott et al. | Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage | |
| CN101860623B (en) | Method and system for indicating service time of intelligent phone battery by sensing system context | |
| JP6079215B2 (en) | Power demand forecasting device, program | |
| Zhang et al. | Unified unit commitment formulation and fast multi-service LP model for flexibility evaluation in sustainable power systems | |
| CN104636406A (en) | Method and device for pushing information according to user behaviors | |
| JP2017034775A (en) | Power demand guidance system | |
| CN102520785A (en) | Energy consumption management method and system for cloud data center | |
| CN113590682B (en) | Power grid power failure window period generation method and device, electronic equipment and storage medium | |
| JP2017028897A (en) | Power demand guide device and program | |
| KR101409025B1 (en) | Apparatus and method for correcting of acquired data | |
| CN103793276A (en) | Load predication method and electronic device | |
| CN115473216A (en) | Method and system for improving line loss calculation of power grid | |
| JP5857471B2 (en) | Demand processing apparatus, control method for demand processing apparatus, control program, and recording medium | |
| JP2013109550A (en) | Home energy consumption prediction system, home energy consumption prediction server, home energy consumption prediction method, and program | |
| JP6590910B2 (en) | Controller, electricity bill display method, and program | |
| CN103891090A (en) | Power generation control system, power generation control program, and electronic device | |
| JP2016127622A (en) | Power demand prediction system | |
| KR20210107485A (en) | Electronic device and method for calculating power comsumption for processing unit thereof | |
| CN111124452A (en) | Software upgrading method and device for instrument, instrument and storage medium | |
| CN104517025A (en) | Energy savings forecasting method and device | |
| CN111400151B (en) | Method, device and equipment for monitoring residual life of hard disk | |
| Hoosain | Energy efficiency in smart homes based on demand side management | |
| CN105021997A (en) | Storage battery capacity curve drawing method and device | |
| Islam et al. | Design and Implementation of Raspberry Pi Based Real time Industrial Energy Analyzer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130410 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |