CN103135724A - Power supply management method and device and intelligent device - Google Patents

Power supply management method and device and intelligent device Download PDF

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Publication number
CN103135724A
CN103135724A CN2011103881727A CN201110388172A CN103135724A CN 103135724 A CN103135724 A CN 103135724A CN 2011103881727 A CN2011103881727 A CN 2011103881727A CN 201110388172 A CN201110388172 A CN 201110388172A CN 103135724 A CN103135724 A CN 103135724A
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smart machine
ranking results
precalculated position
electric quantity
self
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CN103135724B (en
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张怡
王丽琴
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Lenovo Beijing Ltd
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Lenovo Beijing Ltd
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Abstract

The invention discloses a power supply management method and device and an intelligent device. The method is applied to the intelligent device which cooperates with at least two other intelligent devices in work. The method comprises acquiring battery electric quantity information of the intelligent device self and other intelligent devices cooperating with the intelligent device self; sorting the battery electric quantity information according to remaining electric quantity and acquiring sorting results; and if the sorting results indicate that the intelligent device self is located on a first preset position of the sorting results, charging the intelligent device located on a second preset position in the sorting results so as to enable the electric quantity of each intelligent mobile device cooperating with the intelligent device self to be balanced. Through application of the method, the intelligent devices with high remaining electric quantity can charge the intelligent devices with low remaining electric quantity, thus integral cooperative working time is kept, and the problem that when multiple intelligent mobile devices cooperate in work, the multiple intelligent mobile devices cannot cooperate in work integrally due to the fact that the electric quantity of a part of the devices runs out is avoided.

Description

A kind of method for managing power supply, device and smart machine
Technical field
The present invention relates to the power management techniques field, particularly a kind of method for managing power supply, device and power-supply device.
Background technology
Along with popularizing of smart machine, increasing people has smart machine.The thing followed is often to need the collaborative work of a plurality of smart machines.For example, a plurality of equipment networkings are played games jointly, and perhaps, a plurality of equipment associating co-operate are as use pattern of multi-screen splicing etc.So-called multi-screen splicing pattern is that a plurality of smart machine splicings are become a large display screen, and collaborative work is to obtain better display effect.Particularly, the edge of smart machine like this, uses a plurality of screen splicings along with the development of panel computer (Pad) technology more and more narrow (boundless pad), can obtain larger, more cruel demonstration and experience.For example, Fig. 1 is the schematic diagram of a multi-screen splicing of prior art, wherein, and the schematic diagram of multi-screen splicing when Fig. 1 a is normal operation.Screen in this figure is a giant-screen that is spliced by 4 screens (i.e. the screen of 4 smart machines).
But; independently for smart machine, carry out same application although each smart machine can be worked in coordination with for each, the battery electric quantity of each equipment is different; therefore; the equipment electric weight that usually can have is also a lot, and some equipment is electric weight situation about exhausting but, for example; use pattern for multi-screen splicing; if an equipment electric weight exhausts, for example the upper right corner is numbered 2 equipment electric weight and exhausts, and will produce splicing effect as shown in Fig. 1 b.As seen, as long as there is the equipment electric weight of a collaborative work to exhaust, will cause multiple-equipment team working meaningless (situation as shown in Fig. 1 b), and then cause all equipment all can not collaborative work.
Summary of the invention
The embodiment of the present invention provides a kind of method for managing power supply, device and smart machine, when solving a plurality of Intelligent mobile equipment collaborative work, because the equipment component electric weight exhausts the problem that a plurality of smart machine integral body of causing can't collaborative work.
The embodiment of the present invention provides a kind of method for managing power supply, is applied to a smart machine, described smart machine and two other smart machine collaborative work at least, and described method comprises:
Obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
Described battery electric quantity information is sorted according to dump energy, obtain a ranking results;
If described ranking results shows the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, described method also comprises:
If described ranking results shows the second precalculated position that self is in described ranking results, receive the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, if described ranking results shows the first precalculated position that self is in described ranking results, before for the smart machine charging that is in the second precalculated position in described ranking results, described method also comprises:
Whether judge the electric weight of the smart machine that is in the second precalculated position lower than default average electricity threshold value, if, then for being in the smart machine charging in the second precalculated position in described ranking results.
Wherein, during lower than default average electricity threshold value, described method also comprises at the electric weight of judging the smart machine that is in the second precalculated position:
Judge in current overall electric weight situation, whether the synthetic operation time more than or equal to default very first time length threshold, if, then for being in the smart machine charging in the second precalculated position in described ranking results.
Wherein, described the first precalculated position is the highest position of dump energy in described ranking results;
Described the second precalculated position is the minimum position of dump energy in described ranking results.
The embodiment of the present invention also provides a kind of method for managing power supply, is applied to a smart machine, described smart machine and two other smart machine collaborative work at least, and described method comprises:
Obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
The battery electric quantity information that obtains is analyzed, obtained an analysis result;
Judge whether described analysis result satisfies predetermined condition;
When satisfying predetermined condition, carries out described analysis result the electric quantity balancing operation.
Wherein, described analysis result is the dump energy of each smart machine;
Judge that the step whether described analysis result satisfies predetermined condition comprises:
Judge whether to exist the dump energy of smart machine lower than default average electricity threshold value, if satisfy predetermined condition;
Carrying out the electric quantity balancing operation when described analysis result satisfies predetermined condition comprises:
Select a target device from the Intelligent mobile equipment of described collaborative work;
Make that selected target device is that electric weight is lower than the equipment charge of average electricity threshold value, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
The embodiment of the present invention also provides a kind of electric power controller, is applied to a smart machine, described smart machine and two other smart machine collaborative work at least, and described device comprises:
Acquiring unit, be used for to obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
Sequencing unit is used for described battery electric quantity information is sorted according to dump energy, obtains a ranking results;
The first Power Management Unit, be used for showing at described ranking results the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, described device also comprises:
The second source administrative unit is used for showing at described ranking results the second precalculated position that self is in described ranking results, receives the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, described device also comprises:
The first judging unit, be used for showing at described ranking results the first precalculated position that self is in described ranking results, before the smart machine charging that is in the second precalculated position in described ranking results, judge that whether the electric weight of the smart machine that is in the second precalculated position is lower than default average electricity threshold value, if reinforming the first Power Management Unit is the smart machine charging that is in the second precalculated position in described ranking results.
Wherein, described device also comprises:
The second judging unit, be used for after the electric weight of judging the smart machine that is in the second precalculated position is lower than default average electricity threshold value, judge in current overall electric weight situation, whether the synthetic operation time is more than or equal to default very first time length threshold, if reinforming the first Power Management Unit is the smart machine charging that is in the second precalculated position in described ranking results.
The embodiment of the present invention also provides a kind of smart machine, described smart machine and at least two other smart machine collaborative works, and described smart machine comprises:
Processor, be used for to obtain self and with the battery electric quantity information of other smart machines of self collaborative work; Described battery electric quantity information is sorted according to dump energy, obtain a ranking results;
Supply unit is used for showing at described ranking results the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, described processor also is used for showing at described ranking results the second precalculated position that self is in described ranking results, notifies supply unit;
Described supply unit also is used for receiving the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, described processor, also be used for showing at described ranking results the first precalculated position that self is in described ranking results, before the smart machine charging that is in the second precalculated position in described ranking results, judge that whether the electric weight of the smart machine that is in the second precalculated position is lower than default average electricity threshold value, if reinforming supply unit is the smart machine charging that is in the second precalculated position in described ranking results.
Wherein, described processor, also be used for after the electric weight of judging the smart machine that is in the second precalculated position is lower than default average electricity threshold value, judge in current overall electric weight situation, whether the synthetic operation time is more than or equal to default very first time length threshold, if reinforming supply unit is the smart machine charging that is in the second precalculated position in described ranking results.
Use method, device and smart machine that the embodiment of the present invention provides, the smart machine of high dump energy can be the smart machine charging of low dump energy, thereby keep the whole collaborative work time, when having avoided a plurality of Intelligent mobile equipment collaborative work, because the equipment component electric weight exhausts the problem that a plurality of smart machine integral body of causing can't collaborative work.
Description of drawings
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or description of the Prior Art, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the schematic diagram of a multi-screen splicing of prior art;
Fig. 2 is a kind of method for managing power supply process flow diagram according to the embodiment of the present invention;
Fig. 3 is the another kind of method for managing power supply process flow diagram according to the embodiment of the present invention;
Fig. 4 is a kind of electric power controller logical organization schematic diagram according to the embodiment of the present invention;
Fig. 5 is a kind of smart machine logical organization schematic diagram according to the embodiment of the present invention;
Fig. 6 is the connection diagram according to an instantiation of the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Based on the embodiment in the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
Referring to Fig. 2, it is a kind of method for managing power supply process flow diagram according to the embodiment of the present invention, and the present embodiment is applied to a smart machine, described smart machine and two other smart machine collaborative work at least, that is to say, in the present embodiment, at least three smart machine collaborative works.Flow process shown in Figure 2 specifically comprises:
Step 201, obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
Step 202 sorts according to dump energy to described battery electric quantity information, obtains a ranking results;
Step 203 is if described ranking results shows the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Need to prove, flow process shown in Figure 2 can also comprise: if described ranking results shows the second precalculated position that self is in described ranking results, receive the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Above-mentioned the first precalculated position is the highest position of dump energy in described ranking results; Above-mentioned the second precalculated position is the minimum position of dump energy in described ranking results.That is to say, if the current dump energy of smart machine is the highest, can give the equipment charge of other collaborative works, if the current dump energy of smart machine is minimum, only accept the charging of other equipment; If the dump energy that smart machine is current is neither the highest, neither be minimum, namely be in non-first, second precalculated position, be neither other equipment charges, do not accept the charging of other equipment, only management oneself yet.
Need to prove, if described ranking results shows the first precalculated position that self is in described ranking results, before for the smart machine charging that is in the second precalculated position in described ranking results, the described method of Fig. 2 can also comprise: judge that whether the electric weight of the smart machine that is in the second precalculated position is lower than default average electricity threshold value, if, then for being in the smart machine charging in the second precalculated position in described ranking results.That is to say, in current sequence, if the current remaining electric weight of the smart machine of minimum dump energy lower than default average electricity threshold value, is its charging by the smart machine of high dump energy again, otherwise the smart machine of high dump energy can not charge for it.Why this condition is set, be because, the final purpose of the embodiment of the present invention is can work for the smart machine that guarantees all collaborative works, rather than allow the smart machine of all collaborative works all have identical dump energy, in the situation that dump energy does not affect normal collaborative work, do not need high electric weight smart machine to be low electric weight smart machine charging, only have the electric weight of working as low electric weight equipment can not keep normal operation, thereby during the collaborative work of impact integral body, high electric weight equipment can be just low electric weight equipment charge.
Need to prove, at the electric weight of judging the smart machine that is in the second precalculated position during lower than default average electricity threshold value, the described method of Fig. 2 can also comprise: judge in current overall electric weight situation, whether the synthetic operation time is more than or equal to default very first time length threshold, if, then for being in the smart machine charging in the second precalculated position in described ranking results.That is to say, before charging, to judge also whether this charging operations is meaningful, for example, if after charging, integral body can be kept the collaborative work of 15 minutes again, think that this charging operations is significant, if after charging, integral body only can be kept the collaborative work in 30 seconds again, think that this charging operations is nonsensical, because it can not continue whole collaborative work.
Need to prove, in embodiment illustrated in fig. 2, the smart machine of each collaborative work is the relation of equity, be that each equipment only judges the state of self, thereby determine to be for other smart machines chargings or to accept the charging of other smart machines, or, be left intact.
As seen, use the method that the embodiment of the present invention provides, the smart machine of high dump energy can be the smart machine charging of low dump energy, thereby keep the whole collaborative work time, when having avoided a plurality of Intelligent mobile equipment collaborative work, because the equipment component electric weight exhausts the problem that a plurality of smart machine integral body of causing can't collaborative work.
Referring to Fig. 3, it is the another kind of method for managing power supply process flow diagram according to the embodiment of the present invention, and the present embodiment is applied to a smart machine, described smart machine and two other smart machine collaborative work at least, that is to say, in the present embodiment, at least three smart machine collaborative works.Flow process shown in Figure 3 specifically comprises:
Step 301, obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
Step 302 is analyzed the battery electric quantity information that obtains, and obtains an analysis result;
Step 303 judges whether described analysis result satisfies predetermined condition;
Step 304 is carried out the electric quantity balancing operation when described analysis result satisfies predetermined condition.
Need to prove, above-mentioned analysis result is the dump energy of each smart machine; The above-mentioned step that judges whether described analysis result satisfies predetermined condition can comprise: judge whether to exist the dump energy of smart machine lower than default average electricity threshold value, if satisfy predetermined condition.
Need to prove, carrying out the electric quantity balancing operation when described analysis result satisfies predetermined condition can comprise: select a target device from the Intelligent mobile equipment of described collaborative work; Make that selected target device is that electric weight is lower than the equipment charge of average electricity threshold value, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, select the mode of a target device to have from the Intelligent mobile equipment of described collaborative work a variety of, below only enumerate two kinds of possible situations:
Mode one: select the step of a target device to comprise from the Intelligent mobile equipment of described collaborative work:
In the equipment of current collaborative work, select the highest equipment of electric weight;
Judge whether the highest equipment of described electric weight is being other equipment charges, if be not other equipment charges, the equipment that this electric weight is the highest is as target device; If be other equipment charges, calculate the effective run time after a plurality of balance of plants;
Judge this effective run time in current overall electric weight situation whether more than or equal to the second default time span threshold value, if the equipment that this electric weight is the highest is as target device, otherwise, select electric weight time high equipment;
Whether judge time high equipment of described electric weight being other equipment charges, if be other equipment charges, with the inferior high equipment of this electric weight as target device; If be other equipment charges, calculate the effective run time after a plurality of balance of plants;
Judge this effective run time in current overall electric weight situation whether more than or equal to the second default time span threshold value, if the equipment that this electric weight is time high is as target device.
Under this mode, can select the smart machine of the highest or inferior high electric weight is other equipment charges.
Mode two: select the step of a target device to comprise from the Intelligent mobile equipment of collaborative work:
In the equipment of current collaborative work, select electric weight higher than the equipment of average electricity threshold value;
After calculating successively each equipment and being the equipment charge of electric weight lower than the average electricity threshold value, the effective run time after a plurality of balance of plants;
The corresponding equipment of the longest effective run time that selection calculates is target device.
Certainly, the present invention does not do restriction to the concrete mode of select target equipment, and other possible modes can be applied in the present invention.
Under this mode, only select the smart machine of the highest electric weight as target device.
Need to prove, in the embodiment shown in fig. 3, the smart machine of each collaborative work is principal and subordinate's relation, the smart machine of namely carrying out flow process shown in Figure 3 is main equipment, and the smart machine of other collaborative works is from equipment, is judged by main equipment, and intended target equipment charges for the equipment that hangs down electric weight, certainly, this target device can be main equipment oneself, can be also from equipment.
As seen, use the method that the embodiment of the present invention provides, the smart machine of high dump energy can be the smart machine charging of low dump energy, thereby keep the whole collaborative work time, when having avoided a plurality of Intelligent mobile equipment collaborative work, because the equipment component electric weight exhausts the problem that a plurality of smart machine integral body of causing can't collaborative work.
In addition, no matter be embodiment illustrated in fig. 2 or embodiment illustrated in fig. 3, when charging, both can charge by the mode that wireline interface connects between the smart machine of each collaborative work, also can charge by wireless mode.
Again the present invention is elaborated below in conjunction with instantiation.
Example 1:
Still referring to Fig. 1 a, be numbered 1 smart machine take Fig. 1 a upper left corner and describe as example.
The equipment 1 of supposing the upper left corner has obtained the battery electric quantity information of self and other three smart machines; Afterwards, described battery electric quantity information is sorted according to dump energy, obtain a ranking results.
In the present embodiment, ranking results shows that the smart machine in the upper left corner is in the first precalculated position in described ranking results, and is namely current for having the equipment of high dump energy,
Afterwards, whether the smart machine that the smart machine in this upper left corner judgement is in the second precalculated position namely has the electric weight of smart machine (as the smart machine 2 in the upper right corner) of minimum dump energy lower than default average electricity threshold value, if,
The smart machine in this upper left corner judges in current overall electric weight situation again, and whether the synthetic operation time more than or equal to default very first time length threshold, as 15 minutes, if,
This smart machine is to be in smart machine (as the smart machine in the upper right corner) charging that the second precalculated position namely has minimum dump energy in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work, thereby avoid the situation of Fig. 1 b to occur.
Use the method that the embodiment of the present invention provides, the smart machine of high dump energy is in the significant situation of collaborative work after assurance balance electric weight, can be the smart machine charging of low dump energy, thereby keep the whole collaborative work time, when having avoided a plurality of Intelligent mobile equipment collaborative work, because the equipment component electric weight exhausts the problem that a plurality of smart machine integral body of causing can't collaborative work.
Example 2:
Referring to Fig. 6, it is the embodiment schematic diagram according to the embodiment of the present invention.In the present embodiment, be provided with a hardware controls module 601 in each smart machine, the battery module 602 in this hardware controls module 601 and this smart machine directly is connected.In this example, hardware controls module 601 is equivalent to a switch (switch), and battery module 602 is exactly the battery on smart machine.Like this, smart machine can also receive by hardware controls module 601 the i.e. charging mutually of electric weight transfer of other smart machines except having existing battery charging function.
Certainly, as for when being other equipment charges between each smart machine, when receive the electric weight of other equipment, described in front, repeat no more here.What the present embodiment was wanted to emphasize is, hardware controls module 601 is by hard-wired, but not software is realized.And judge whether to satisfy charging or the condition that is recharged be have in smart machine processor judge realization by software.
Also need to prove, each smart machine in Fig. 6 can charge mutually by wired mode, also can mutually charge by wireless mode.
Referring to Fig. 4, it is that the present embodiment is applied to a smart machine according to a kind of electric power controller structural representation of the invention process, described smart machine and two other smart machine collaborative work at least, and described device specifically comprises:
Acquiring unit 401, be used for to obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
Sequencing unit 402 is used for described battery electric quantity information is sorted according to dump energy, obtains a ranking results;
The first Power Management Unit 403, be used for showing at described ranking results the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Device shown in Figure 4 can also comprise: second source administrative unit (not shown), be used for showing at described ranking results the second precalculated position that self is in described ranking results, receive the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Device shown in Figure 4 can also comprise: the first judging unit (not shown), be used for showing at described ranking results the first precalculated position that self is in described ranking results, before the smart machine charging that is in the second precalculated position in described ranking results, judge that whether the electric weight of the smart machine that is in the second precalculated position is lower than default average electricity threshold value, if reinforming the first Power Management Unit is the smart machine charging that is in the second precalculated position in described ranking results.
Device shown in Figure 4 can also comprise: the second judging unit (not shown), be used for after the electric weight of judging the smart machine that is in the second precalculated position is lower than default average electricity threshold value, judge in current overall electric weight situation, whether the synthetic operation time is more than or equal to default very first time length threshold, if reinforming the first Power Management Unit is the smart machine charging that is in the second precalculated position in described ranking results.
Use the device that the embodiment of the present invention provides, the smart machine of high dump energy can be the smart machine charging of low dump energy, thereby keep the whole collaborative work time, when having avoided a plurality of Intelligent mobile equipment collaborative work, because the equipment component electric weight exhausts the problem that a plurality of smart machine integral body of causing can't collaborative work.
The embodiment of the present invention also provides a kind of smart machine, referring to Fig. 5, and described smart machine and at least two other smart machine collaborative works, described smart machine specifically comprises:
Processor 501, be used for to obtain self and with the battery electric quantity information of other smart machines of self collaborative work; Described battery electric quantity information is sorted according to dump energy, obtain a ranking results;
Supply unit 502, be used for showing at described ranking results the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, described processor also is used for showing at described ranking results the second precalculated position that self is in described ranking results, notifies supply unit;
Described supply unit also is used for receiving the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
Wherein, described processor, also be used for showing at described ranking results the first precalculated position that self is in described ranking results, before the smart machine charging that is in the second precalculated position in described ranking results, judge that whether the electric weight of the smart machine that is in the second precalculated position is lower than default average electricity threshold value, if reinforming supply unit is the smart machine charging that is in the second precalculated position in described ranking results.
Wherein, described processor, also be used for after the electric weight of judging the smart machine that is in the second precalculated position is lower than default average electricity threshold value, judge in current overall electric weight situation, whether the synthetic operation time is more than or equal to default very first time length threshold, if reinforming supply unit is the smart machine charging that is in the second precalculated position in described ranking results.
Use the smart machine that the embodiment of the present invention provides, the smart machine of high dump energy can be the smart machine charging of low dump energy, thereby keep the whole collaborative work time, when having avoided a plurality of Intelligent mobile equipment collaborative work, because the equipment component electric weight exhausts the problem that a plurality of smart machine integral body of causing can't collaborative work.
For device and smart machine embodiment, substantially similar in appearance to embodiment of the method, so description is fairly simple, relevant part gets final product referring to the part explanation of embodiment of the method due to it.
Need to prove, in this article, relational terms such as the first and second grades only is used for an entity or operation are separated with another entity or operational zone, and not necessarily requires or hint and have the relation of any this reality or sequentially between these entities or operation.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby make the process, method, article or the equipment that comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or also be included as the intrinsic key element of this process, method, article or equipment.In the situation that not more restrictions, the key element that is limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
One of ordinary skill in the art will appreciate that all or part of step that realizes in the said method embodiment is to come the relevant hardware of instruction to complete by program, described program can be stored in computer read/write memory medium, here alleged storage medium, as: ROM/RAM, magnetic disc, CD etc.
The above is only preferred embodiment of the present invention, is not for limiting protection scope of the present invention.All any modifications of doing within the spirit and principles in the present invention, be equal to replacement, improvement etc., all be included in protection scope of the present invention.

Claims (15)

1. a method for managing power supply, is characterized in that, is applied to a smart machine, described smart machine and two other smart machine collaborative work at least, and described method comprises:
Obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
Described battery electric quantity information is sorted according to dump energy, obtain a ranking results;
If described ranking results shows the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
2. method according to claim 1, is characterized in that, described method also comprises:
If described ranking results shows the second precalculated position that self is in described ranking results, receive the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
3. method according to claim 1 and 2, it is characterized in that, if described ranking results shows the first precalculated position that self is in described ranking results, before for the smart machine charging that is in the second precalculated position in described ranking results, described method also comprises:
Whether judge the electric weight of the smart machine that is in the second precalculated position lower than default average electricity threshold value, if, then for being in the smart machine charging in the second precalculated position in described ranking results.
4. method according to claim 3, is characterized in that, during lower than default average electricity threshold value, described method also comprises at the electric weight of judging the smart machine that is in the second precalculated position:
Judge in current overall electric weight situation, whether the synthetic operation time more than or equal to default very first time length threshold, if, then for being in the smart machine charging in the second precalculated position in described ranking results.
5. method according to claim 1, is characterized in that,
Described the first precalculated position is the highest position of dump energy in described ranking results;
Described the second precalculated position is the minimum position of dump energy in described ranking results.
6. a method for managing power supply, is characterized in that, is applied to a smart machine, described smart machine and two other smart machine collaborative work at least, and described method comprises:
Obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
The battery electric quantity information that obtains is analyzed, obtained an analysis result;
Judge whether described analysis result satisfies predetermined condition;
When satisfying predetermined condition, carries out described analysis result the electric quantity balancing operation.
7. method according to claim 6, is characterized in that,
Described analysis result is the dump energy of each smart machine;
Judge that the step whether described analysis result satisfies predetermined condition comprises:
Judge whether to exist the dump energy of smart machine lower than default average electricity threshold value, if satisfy predetermined condition;
Carrying out the electric quantity balancing operation when described analysis result satisfies predetermined condition comprises:
Select a target device from the Intelligent mobile equipment of described collaborative work;
Make that selected target device is that electric weight is lower than the equipment charge of average electricity threshold value, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
8. an electric power controller, is characterized in that, is applied to a smart machine, described smart machine and two other smart machine collaborative work at least, and described device comprises:
Acquiring unit, be used for to obtain self and with the battery electric quantity information of other smart machines of self collaborative work;
Sequencing unit is used for described battery electric quantity information is sorted according to dump energy, obtains a ranking results;
The first Power Management Unit, be used for showing at described ranking results the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
9. device according to claim 8, is characterized in that, described device also comprises:
The second source administrative unit is used for showing at described ranking results the second precalculated position that self is in described ranking results, receives the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
10. according to claim 8 or 9 described devices, is characterized in that, described device also comprises:
The first judging unit, be used for showing at described ranking results the first precalculated position that self is in described ranking results, before the smart machine charging that is in the second precalculated position in described ranking results, judge that whether the electric weight of the smart machine that is in the second precalculated position is lower than default average electricity threshold value, if reinforming the first Power Management Unit is the smart machine charging that is in the second precalculated position in described ranking results.
11. device according to claim 10 is characterized in that, described device also comprises:
The second judging unit, be used for after the electric weight of judging the smart machine that is in the second precalculated position is lower than default average electricity threshold value, judge in current overall electric weight situation, whether the synthetic operation time is more than or equal to default very first time length threshold, if reinforming the first Power Management Unit is the smart machine charging that is in the second precalculated position in described ranking results.
12. a smart machine is characterized in that, described smart machine and at least two other smart machine collaborative works, and described smart machine comprises:
Processor, be used for to obtain self and with the battery electric quantity information of other smart machines of self collaborative work; Described battery electric quantity information is sorted according to dump energy, obtain a ranking results;
Supply unit is used for showing at described ranking results the first precalculated position that self is in described ranking results, for being in the smart machine charging in the second precalculated position in described ranking results, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
13. smart machine according to claim 12 is characterized in that,
Described processor also is used for showing at described ranking results the second precalculated position that self is in described ranking results, notifies supply unit;
Described supply unit also is used for receiving the charging of other smart machines, so that the electric quantity balancing of each Intelligent mobile equipment of collaborative work.
14. according to claim 12 or 13 described smart machines is characterized in that,
Described processor, also be used for showing at described ranking results the first precalculated position that self is in described ranking results, before the smart machine charging that is in the second precalculated position in described ranking results, judge that whether the electric weight of the smart machine that is in the second precalculated position is lower than default average electricity threshold value, if reinforming supply unit is the smart machine charging that is in the second precalculated position in described ranking results.
15. smart machine according to claim 14 is characterized in that,
Described processor, also be used for after the electric weight of judging the smart machine that is in the second precalculated position is lower than default average electricity threshold value, judge in current overall electric weight situation, whether the synthetic operation time is more than or equal to default very first time length threshold, if reinforming supply unit is the smart machine charging that is in the second precalculated position in described ranking results.
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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103802687A (en) * 2014-03-10 2014-05-21 佛山职业技术学院 Battery management implementing method and device for electric vehicle
CN104572193A (en) * 2014-12-29 2015-04-29 联想(北京)有限公司 Control method among multiple apparatuses and electronic apparatus thereof
CN105630480A (en) * 2015-04-24 2016-06-01 宇龙计算机通信科技(深圳)有限公司 Operation method of terminal, operation device of terminal, and terminal
CN103802687B (en) * 2014-03-10 2016-11-30 佛山职业技术学院 The battery management implementation method of electric automobile and device
CN108616148A (en) * 2016-12-09 2018-10-02 手持产品公司 Intelligent battery balance system and method
CN109076100A (en) * 2016-04-01 2018-12-21 英特尔公司 Cooperation transmission management for smart machine
WO2019014949A1 (en) * 2017-07-21 2019-01-24 华为技术有限公司 Mobile terminal, peripheral device and charging method therefor
CN110932340A (en) * 2018-09-19 2020-03-27 Oppo广东移动通信有限公司 Charging method, split terminal and computer storage medium
CN112398196A (en) * 2020-11-11 2021-02-23 合肥联宝信息技术有限公司 Charging and discharging control method, device and system
CN117411054A (en) * 2023-10-17 2024-01-16 宙斯储能科技(广东)有限公司 Echelon utilization energy storage control device and control method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101065876A (en) * 2004-11-11 2007-10-31 株式会社Lg化学 Method and system for cell equalization using state of charge
CN101567575A (en) * 2008-04-25 2009-10-28 三星Sdi株式会社 Current breaking method of a rechargeable battery and battery pack using same
CN101764268A (en) * 2010-01-13 2010-06-30 欣旺达电子股份有限公司 Power battery balance charging method and power battery balancing circuit
CN101917041A (en) * 2010-08-17 2010-12-15 上海瑞华(集团)有限公司 Control method for charging process of rechargeable battery pack

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101065876A (en) * 2004-11-11 2007-10-31 株式会社Lg化学 Method and system for cell equalization using state of charge
CN101567575A (en) * 2008-04-25 2009-10-28 三星Sdi株式会社 Current breaking method of a rechargeable battery and battery pack using same
CN101764268A (en) * 2010-01-13 2010-06-30 欣旺达电子股份有限公司 Power battery balance charging method and power battery balancing circuit
CN101917041A (en) * 2010-08-17 2010-12-15 上海瑞华(集团)有限公司 Control method for charging process of rechargeable battery pack

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103802687B (en) * 2014-03-10 2016-11-30 佛山职业技术学院 The battery management implementation method of electric automobile and device
CN103802687A (en) * 2014-03-10 2014-05-21 佛山职业技术学院 Battery management implementing method and device for electric vehicle
CN104572193A (en) * 2014-12-29 2015-04-29 联想(北京)有限公司 Control method among multiple apparatuses and electronic apparatus thereof
CN105630480A (en) * 2015-04-24 2016-06-01 宇龙计算机通信科技(深圳)有限公司 Operation method of terminal, operation device of terminal, and terminal
CN105630480B (en) * 2015-04-24 2018-12-25 宇龙计算机通信科技(深圳)有限公司 The operating method of terminal, the operating device of terminal and terminal
CN109076100B (en) * 2016-04-01 2021-11-16 英特尔公司 Cooperative transmission management for smart devices
CN109076100A (en) * 2016-04-01 2018-12-21 英特尔公司 Cooperation transmission management for smart machine
CN108616148A (en) * 2016-12-09 2018-10-02 手持产品公司 Intelligent battery balance system and method
US11258280B2 (en) 2017-07-21 2022-02-22 Huawei Technologies Co., Ltd. Mobile terminal, peripheral device, and charging method thereof
JP2020528725A (en) * 2017-07-21 2020-09-24 華為技術有限公司Huawei Technologies Co.,Ltd. Mobile devices, peripheral devices, and how to charge them
WO2019014949A1 (en) * 2017-07-21 2019-01-24 华为技术有限公司 Mobile terminal, peripheral device and charging method therefor
CN110932340A (en) * 2018-09-19 2020-03-27 Oppo广东移动通信有限公司 Charging method, split terminal and computer storage medium
CN112398196A (en) * 2020-11-11 2021-02-23 合肥联宝信息技术有限公司 Charging and discharging control method, device and system
CN112398196B (en) * 2020-11-11 2022-03-25 合肥联宝信息技术有限公司 Charging and discharging control method, device and system
CN117411054A (en) * 2023-10-17 2024-01-16 宙斯储能科技(广东)有限公司 Echelon utilization energy storage control device and control method
CN117411054B (en) * 2023-10-17 2024-03-12 宙斯储能科技(广东)有限公司 Echelon utilization energy storage control device and control method

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