CN1987507A - Computer executable battery life time early warning method - Google Patents
Computer executable battery life time early warning method Download PDFInfo
- Publication number
- CN1987507A CN1987507A CN 200510120939 CN200510120939A CN1987507A CN 1987507 A CN1987507 A CN 1987507A CN 200510120939 CN200510120939 CN 200510120939 CN 200510120939 A CN200510120939 A CN 200510120939A CN 1987507 A CN1987507 A CN 1987507A
- Authority
- CN
- China
- Prior art keywords
- battery life
- early warning
- battery
- computing machine
- executable
- 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
Landscapes
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
Measuring change of voltage of battery generated in a prearranged time range, the method calculates discharging speed of the battery. Comparing the said discharging speed with established discharge curve in advance, the invention predicts lifetime value of the battery. When lifetime value of the battery is lower than earlywarning threshold setup in advance, the invention sends out alarm. Thus, it is clear for user to know service life of battery, and to know when to buy new rechargeable battery from the alarm.
Description
[technical field]
The present invention is a kind of battery life time early warning method, refers in particular to a kind of the variation according to cell voltage and comes the counting cell velocity of discharge, the method for carrying out early warning by the preestimating battery life value.
[background technology]
Along with 3C Product is integrated, portable type electronic product become electronic product must through trend.When choosing electronic product, often only pay attention to price, weight, outward appearance and the configuration of product, seldom remove to be concerned about the employed rechargeable battery of electronic product.In fact, for electronic product, the height of overall performance is good and bad inseparable with rechargeable battery.
General electronic product buy property product such as PDA, mobile phone, notebook computer etc. all use rechargeable battery as energy source.Because do not calculate per year the serviceable life of rechargeable battery, but calculate by the number of times that discharges and recharges of rechargeable battery.So each rechargeable battery all has the problem because of aging electric energy deficiency.
The life-span of rechargeable battery approximately has only one to two year, but people often can't differentiate the time limit in serviceable life of rechargeable battery, so, usually there is the people to complain that without restraint battery service time is too short or battery life is not long, this main cause is that the once supported electric energy of battery charge is shorter and shorter, also because the support electric energy of battery is shorter and shorter, even if having enough rechargeable batteries, also the problem that can cause electronics action product to use because there not being enough battery serviceable life is said nothing of the trouble that needs often to change battery and cause.For example working as people is using mobile phone and the other side to consult an important business, the result is because of the electric weight deficiency of mobile phone or because there are not enough batteries to that is to say that the supported electric energy of battery is shorter and shorter serviceable life, the problem that causes mobile phone to use, and influenced the business that also can't consult with the quality of both sides' communication.
Therefore, we must note the serviceable life of every battery in the use of selecting rechargeable battery.Because we are difficult to be difficult to from the outside distinguish its serviceable life rechargeable battery, unless the user notes down the access times of every rechargeable battery one by one, otherwise the user can't differentiate the serviceable life of rechargeable battery at all.So we provide a kind of computing machine executable battery life time early warning method, can reach allow the user clearly the serviceable life of electrolytic cell, and know via early warning when this chooses new rechargeable battery.
[summary of the invention]
The executable battery life time early warning method of disclosed computing machine, its step includes and is applied to be mounted with on the computing machine executable platform of battery in first embodiment, its step includes sets up assembly power consumption scale in advance, the discharge curve table of comparisons and early warning fault value, then measure battery and drop to the power consumption time that second magnitude of voltage is spent from first magnitude of voltage, obtain the assembly operating state of computing machine executable platform again, and utilize assembly power consumption scale to calculate the total power consumption of battery, calculate the velocity of discharge of this battery according to power consumption time and total power consumption, obtain one group of above velocity of discharge and discharge curve table relatively, produce the battery life value; At last, when the battery life value is not more than this early warning fault value, carry out battery life time early warning, to remind the user when this chooses new rechargeable battery.
In addition, the invention provides the executable battery life time early warning method of another kind of computing machine, its step includes and is applied to be mounted with on the computing machine executable platform of battery in a second embodiment, its step includes sets up assembly power consumption scale in advance, the discharge curve table of comparisons and early warning fault value, in a schedule time, measure first magnitude of voltage and second magnitude of voltage of this battery respectively, then obtain the assembly operating state of computing machine executable platform, and utilize assembly power consumption scale to calculate the total power consumption of this battery, again according to voltage difference and total power consumption between first magnitude of voltage and second magnitude of voltage, the velocity of discharge of counting cell, utilize the velocity of discharge and the discharge curve table of comparisons to compare then, produce the battery life value of battery.At last, when the battery life value is not more than early warning fault value, carry out battery life time early warning.
Therefore, the invention provides the executable battery life time early warning method of a kind of computing machine, can reach allow the user clearly the serviceable life of electrolytic cell, and know via early warning when this chooses new rechargeable battery.
Below in embodiment, be described in detail detailed features of the present invention and advantage, its content is enough to make any related art techniques person of haveing the knack of to understand technology contents of the present invention and implements according to this, and according to content, the claim and graphic that this instructions disclosed, any related art techniques person of haveing the knack of can understand purpose and the advantage that the present invention is correlated with easily.
[description of drawings]
Fig. 1 is the first embodiment process flow diagram of the executable battery life time early warning method of computing machine.
Fig. 2 is the second embodiment process flow diagram of the executable battery life time early warning method of computing machine.
[embodiment]
In Fig. 1, battery life time early warning method among first embodiment that is proposed, be applied to be mounted with on the computing machine executable platform of battery, its method includes sets up assembly power consumption scale, the discharge curve table of comparisons and early warning fault value (step 100), compare with assembly power consumption scale, the discharge curve table of comparisons and early warning fault value, thereby as the foundation of battery life time early warning.Wherein the power consumption of each primary clustering of record in the assembly power consumption table is divided into corresponding different discharge curves of ten stages and the discharge curve table of comparisons is interior with cell voltage, and discharge curve is the curve of different battery lifes.Then, measure battery and drop to the power consumption time (step 110) that second magnitude of voltage is spent from first magnitude of voltage, wherein first magnitude of voltage can be measured by the battery management driver module, and magnitude of voltage is passed to record of power management driver module and storage.Then, measure first magnitude of voltage of battery at set intervals till dropping to second magnitude of voltage.Then, from the computing machine executable platform reach an assembly operating state, and utilize assembly power consumption scale to calculate a total power consumption (step 120) of battery, that is to say, can pass through detecting module detection element operating state, and state passed to the power management driver module, and the power management driver module calculates the total power consumption of battery according to assembly power consumption scale, and wherein component states means the opening or the closed condition of assembly.
Then, calculate the velocity of discharge (step 130) of this battery according to power consumption time and total power consumption, its discharge curve and total power consumption that utilizes this power consumption time to form calculates the velocity of discharge by the power management driver module, and wherein to drop to the time curve of second magnitude of voltage be to be calculated by the power management driver module to first voltage.Then, obtain one group of above velocity of discharge and the contrast of the discharge curve table of comparisons, produce battery life value (step 140), just calculate the velocity of discharge of at least three groups by the power management driver module, utilize the velocity of discharge to obtain discharge curve, compare by the power management driver module and the discharge curve table of comparisons, and then produce the battery life value, wherein the discharge curve table of comparisons is the discharge curve that voltage is divided into ten stages and is noting down different battery lifes.
At last when the battery life value is not more than this early warning fault value, carry out battery life time early warning (step 150), just utilize the life value and the fault value of battery to compare, differentiate and whether need send early warning prompting user, wherein early warning fault value is a prompting remaining battery life value.Therefore, battery life time early warning can send the early warning alert news to the user by the power management driver module, finishes and the early warning alert news can possess similar man-machine interface by prompt window, voice or other.It is only remaining 50% that wherein alert news includes battery life, reminds that user's battery life is only remaining 50%, battery life is only remaining 25%, remind user's battery life only remaining 25% and battery life only remaining 10%, remind user's new battery of purchasing on a barter basis.
Seeing also Fig. 2 is battery life time early warning method second embodiment of the present invention, be applied to be mounted with on the computing machine executable platform of battery, it comprises the following step: at first sets up assembly power consumption scale, the discharge curve table of comparisons and early warning fault value and compares, thereby as the foundation (step 200) of battery life time early warning.The discharge curve that wherein in the discharge curve table of comparisons discharge curve is divided into ten kinds of different life-spans, and the power consumption of each primary clustering of record in the assembly power consumption table.In a schedule time, measure first magnitude of voltage and second magnitude of voltage (step 210) of battery respectively, just measure first magnitude of voltage and second magnitude of voltage of battery at one time down by the battery management driver module, and first magnitude of voltage and second magnitude of voltage are passed to record of power management driver module and storage.Reach then the assembly operating state of computing machine executable platform, and utilize assembly power consumption scale to calculate the total power consumption (step 220) of battery, just detect this assembly operating state by detecting module, and state passed to the power management driver module, the power management driver module calculates the total power consumption of battery according to assembly power consumption scale.
Again according to voltage difference and total power consumption between first magnitude of voltage and second magnitude of voltage, the velocity of discharge (step 230) of counting cell that is to say discharge curve that utilizes first magnitude of voltage and second magnitude of voltage composition and total power consumption calculates battery by the power management driver module the velocity of discharge.Then, utilize the velocity of discharge and the discharge curve table of comparisons to compare, produce the battery life value (step 240) of battery, it refers to that the velocity of discharge compares by the power management driver module and the discharge curve table of comparisons, and then produces the battery life value.At last when the battery life value is not more than early warning fault value, carry out battery life time early warning (step 250), just utilize the life value and the fault value of battery to compare, differentiate and whether need send early warning prompting user, wherein this early warning fault value is a prompting remaining battery life value.Therefore, the early warning of battery life is sent this early warning alert news by the power management driver module to the user, reaches and the early warning alert news can possess similar man-machine interface by prompt window, voice or other.It is only remaining 50% that wherein alert news includes battery life, reminds that user's battery life is only remaining 50%, battery life is only remaining 25%, remind user's battery life only remaining 25% and battery life only remaining 10%, remind user's new battery of purchasing on a barter basis.
Claims (16)
1. the executable battery life time early warning method of computing machine is applied to be mounted with on the computing machine executable platform of a battery, it is characterized in that this method comprises the steps:
(A) set up an assembly power consumption scale, a discharge curve table of comparisons and an early warning fault value;
(B) measure this battery and drop to the power consumption time that one second magnitude of voltage is spent from one first magnitude of voltage;
(C) obtain the assembly operating state of this computing machine executable platform, and utilize this assembly power consumption scale to calculate a total power consumption of this battery;
(D) calculate the velocity of discharge of this battery according to this power consumption time and this total power consumption;
(E) obtain the contrast of one group of above velocity of discharge and this discharge curve table, produce a battery life value; And
(F) when this battery life value is not more than this early warning fault value, carry out a battery life time early warning.
2. the executable battery life time early warning method of computing machine as claimed in claim 1 is characterized in that: this discharge curve table of comparisons is for being divided into this cell voltage corresponding different discharge curve of ten stages.
3. the executable battery life time early warning method of computing machine as claimed in claim 1 is characterized in that: this early warning fault value is a prompting remaining battery life value.
4. the executable battery life time early warning method of computing machine as claimed in claim 1 is characterized in that: the opening or the closed condition of this assembly operating state finger assembly in the step (C).
5. the executable battery life time early warning method of computing machine as claimed in claim 1 is characterized in that: this velocity of discharge is time by voltage difference to form a discharge curve and this total power consumption calculates in the step (D).
6. the executable battery life time early warning method of computing machine as claimed in claim 1 is characterized in that: obtain this velocity of discharge in the step (E) and be at least three groups.
7. the executable battery life time early warning method of computing machine as claimed in claim 1 is characterized in that: the type of carrying out this battery life time early warning in the step (F) can be a prompt window and voice.
8. the executable battery life time early warning method of computing machine as claimed in claim 1 is characterized in that: the alert news of step (F) includes:
(1) battery life only is left 50%, reminds user's battery life only to be left 50%;
(2) battery life only is left 25%, reminds user's battery life only to be left 25%; And
(3) battery life is only remaining 10%, reminds user's new battery of purchasing on a barter basis.
9. the executable battery life time early warning method of computing machine is applied to be mounted with on the computing machine executable platform of a battery, it is characterized in that this method comprises the following step:
(1) sets up an assembly power consumption scale, a discharge curve table of comparisons and an early warning fault value;
(2) in a schedule time, measure one first magnitude of voltage and one second magnitude of voltage of this battery respectively;
(3) obtain the assembly operating state of this computing machine executable platform, and utilize this assembly power consumption scale to calculate a total power consumption of this battery;
(4), calculate a velocity of discharge of this battery according to voltage difference and this total power consumption between this first magnitude of voltage and this second magnitude of voltage;
(5) utilize this velocity of discharge and this discharge curve table of comparisons to compare, produce a battery life value of this battery; And
(6) when this battery life value is not more than this early warning fault value, carry out a battery life time early warning.
10. the executable battery life time early warning method of computing machine as claimed in claim 9 is characterized in that: this discharge curve table of comparisons refers to discharge curve is divided into the discharge curve in ten kinds of different life-spans.
11. the executable battery life time early warning method of computing machine as claimed in claim 9 is characterized in that: this early warning fault value is a prompting remaining battery life value.
12. the executable battery life time early warning method of computing machine as claimed in claim 9 is characterized in that: one group of above magnitude of voltage is grab sample in the step (2).
13. the executable battery life time early warning method of computing machine as claimed in claim 9 is characterized in that: the opening or the closed condition of this assembly operating state finger assembly of step (3).
14. the executable battery life time early warning method of computing machine as claimed in claim 9 is characterized in that: this velocity of discharge refers to that respectively this magnitude of voltage forms a discharge curve and this total power consumption calculates in the step (4).
15. the executable battery life time early warning method of computing machine as claimed in claim 9 is characterized in that: the type system that carries out this battery life time early warning in the step (6) can be a prompt window and voice.
16. the executable battery life time early warning method of computing machine as claimed in claim 9 is characterized in that: the alert news of step (6) includes:
(a) battery life only is left 50%, reminds user's battery life only to be left 50%;
(b) battery life only is left 25%, reminds user's battery life only to be left 25%; And
(c) battery life is only remaining 10%, reminds user's new battery of purchasing on a barter basis.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200510120939 CN1987507A (en) | 2005-12-22 | 2005-12-22 | Computer executable battery life time early warning method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200510120939 CN1987507A (en) | 2005-12-22 | 2005-12-22 | Computer executable battery life time early warning method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1987507A true CN1987507A (en) | 2007-06-27 |
Family
ID=38184381
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 200510120939 Pending CN1987507A (en) | 2005-12-22 | 2005-12-22 | Computer executable battery life time early warning method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1987507A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101776737B (en) * | 2009-12-29 | 2012-07-25 | 四川长虹电器股份有限公司 | Automatic early warning method of quantificational electric quantity |
| CN102707099A (en) * | 2012-05-17 | 2012-10-03 | 惠州Tcl移动通信有限公司 | Test fixture with alarming function |
| CN101772709B (en) * | 2007-12-13 | 2012-11-14 | 松下电器产业株式会社 | Lifetime estimating method and deterioration suppressing method for lithium secondary cell, lifetime estimator and deterioration suppressor, battery pack using the same, and charger |
| CN102879743A (en) * | 2012-09-13 | 2013-01-16 | 东莞市太业电子科技有限公司 | Method for analyzing and calculating remaining power value of lithium ion battery in real time |
| CN103884902A (en) * | 2012-11-19 | 2014-06-25 | 施耐宝公司 | Warning light indicator for limited life remaining in power source |
| CN104111428A (en) * | 2014-07-14 | 2014-10-22 | 浪潮软件集团有限公司 | Method for monitoring battery electric quantity of handheld billing terminal |
| CN105446858A (en) * | 2015-12-07 | 2016-03-30 | 小米科技有限责任公司 | Replacement prompt method and apparatus for battery |
-
2005
- 2005-12-22 CN CN 200510120939 patent/CN1987507A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101772709B (en) * | 2007-12-13 | 2012-11-14 | 松下电器产业株式会社 | Lifetime estimating method and deterioration suppressing method for lithium secondary cell, lifetime estimator and deterioration suppressor, battery pack using the same, and charger |
| CN101776737B (en) * | 2009-12-29 | 2012-07-25 | 四川长虹电器股份有限公司 | Automatic early warning method of quantificational electric quantity |
| CN102707099A (en) * | 2012-05-17 | 2012-10-03 | 惠州Tcl移动通信有限公司 | Test fixture with alarming function |
| CN102879743A (en) * | 2012-09-13 | 2013-01-16 | 东莞市太业电子科技有限公司 | Method for analyzing and calculating remaining power value of lithium ion battery in real time |
| CN102879743B (en) * | 2012-09-13 | 2016-01-20 | 东莞市太业电子科技有限公司 | Lithium ion battery residual electric quantity real-time analysis computing method |
| CN103884902A (en) * | 2012-11-19 | 2014-06-25 | 施耐宝公司 | Warning light indicator for limited life remaining in power source |
| CN104111428A (en) * | 2014-07-14 | 2014-10-22 | 浪潮软件集团有限公司 | Method for monitoring battery electric quantity of handheld billing terminal |
| CN105446858A (en) * | 2015-12-07 | 2016-03-30 | 小米科技有限责任公司 | Replacement prompt method and apparatus for battery |
| CN105446858B (en) * | 2015-12-07 | 2018-10-19 | 小米科技有限责任公司 | The replacement reminding method and device of battery |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1987507A (en) | Computer executable battery life time early warning method | |
| Pop et al. | State-of-the-art of battery state-of-charge determination | |
| JP2012185122A (en) | Battery cell control device and battery cell | |
| EP2730933A1 (en) | Apparatus and method for diagnosing abnormality in cell balancing circuit | |
| CN107870301A (en) | A kind of detection method and device of battery micro-short circuit | |
| CN1228540A (en) | Monitoring technique for accurately determining residual capacity of battery | |
| KR101211875B1 (en) | Battery management system and battery pack comprising the same | |
| JP4794760B2 (en) | Battery pack | |
| CN102739845A (en) | Electronic device capable of detecting battery power and battery power detection method | |
| CN106324510A (en) | Battery detection method and device | |
| CN103033751A (en) | Battery detecting method, battery and electronic device | |
| CN103207372A (en) | Battery residual amount measurement system, battery residual amount measurement program and battery residual amount measurement method | |
| CN105765394B (en) | The determination of battery types | |
| JP2008064584A (en) | Battery state informing method | |
| CN109863416A (en) | Short-circuit detecting device | |
| EP4191733A1 (en) | Battery management system, calculation system, battery degradation prediction method, and battery degradation prediction program | |
| US8212517B2 (en) | Battery type sensing method and device for sensing battery type | |
| CN102033204A (en) | Battery power detection circuit, method and electronic system | |
| CN116923188B (en) | Charging protection system of new energy vehicle | |
| CN116724244A (en) | Battery management apparatus and method | |
| JP2006010601A (en) | Apparatus for determining degradation level | |
| CN111796193A (en) | Storage battery electric quantity detection device and method suitable for whole vehicle production line | |
| CN102837620A (en) | Electric quantity detection and display device and method thereof | |
| CN107991617A (en) | A kind of display of electronic vehicle electric surplus and verbal cue system | |
| CN205691749U (en) | A kind of electric automobile lithium battery residual service life prediction device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |