CN107147185A - Charge control method and device between a kind of smart machine - Google Patents
Charge control method and device between a kind of smart machine Download PDFInfo
- Publication number
- CN107147185A CN107147185A CN201710488764.3A CN201710488764A CN107147185A CN 107147185 A CN107147185 A CN 107147185A CN 201710488764 A CN201710488764 A CN 201710488764A CN 107147185 A CN107147185 A CN 107147185A
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- hardware
- smart machine
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- charging
- system mode
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0068—Battery or charger load switching, e.g. concurrent charging and load supply
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/44—Methods for charging or discharging
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/342—The other DC source being a battery actively interacting with the first one, i.e. battery to battery charging
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The invention discloses the charge control method between a kind of smart machine and device, this method includes：The system mode and hardware information of the smart machine are detected, wherein, the hardware information includes the battery status information of hardware use state information and the smart machine；Flow direction of the electric current between smart machine when determining to charge according to the system mode and hardware information, to determine charging object and discharge end.In the case that this method can be charged between smart machine, according to the own situation and service condition of smart machine, effectively determine charging object and discharge end, and charging modes can be adjusted according to the state change of smart machine, the need for electricity of smart machine is met so as to play the using effect of smart machine, Consumer's Experience is good.
Description
Technical field
The present invention relates to smart machine control field, charge control method and dress between more particularly to a kind of smart machine
Put.
Background technology
Corresponding charge or discharge operation can be carried out between multiple smart machines, for example, two same models
Notebook computer carries Type-C interfaces, and notebook computer can transmit (power using the electricity of Type-C interfaces
Delivery) function carries out mutual charging, such as ought wherein first notebook computer battery electric quantity is few and second pen
The battery for remembering this computer is full, then second notebook computer can be that first notebook computer fills by Type-C interfaces
Electricity.But can not effectively judge between smart machine whom who on earth should be electrically charged at present should discharge, this can cause to fill
The confusion of electric discharge, so as to influence normal use or damage hardware device.
The content of the invention
The purpose of the embodiment of the present invention is to provide the charge control method and device between a kind of smart machine, this method
In the case of being charged between smart machine, according to the own situation and service condition of smart machine, effectively determine
Charge object and discharge end, meets the need for electricity of smart machine.
In order to solve the above-mentioned technical problem, embodiments of the invention employ following technical scheme：A kind of smart machine it
Between charge control method, including：
The system mode and hardware information of the smart machine are detected, wherein, the hardware information uses shape including hardware
The battery status information of state information and the smart machine；
Flow direction of the electric current between smart machine when determining to charge according to the system mode and hardware information, with
It is determined that charging object and discharge end.
Preferably, described determine that electric current during charging is set in the intelligence according to the system mode and hardware information
Flow direction between standby includes：When the system mode is main power down state or all devices closed mode, according to described
The electricity of battery determines flow direction of the electric current between the smart machine.
Preferably, the hardware information also includes hardware configuration information, methods described also includes：When the system mode
During for on-hook to internal storage state, the charging object is determined according to the hardware configuration information and battery status information.
Preferably, described determine that electric current during charging is set in the intelligence according to the system mode and hardware information
Flow direction between standby includes：When the system mode is working condition, institute is defined as according to the hardware use state information
State the mode of charging object charging.
Preferably, described be defined as the mode bag that the charging object charges according to the hardware use state information
Include：The CPU and GPU of the detecting charging object acceleration mode information；According to the CPU and GPU acceleration mode information, institute
Discharge end is stated for the peak value electricity needed for the charging object is provided when the CPU and GPU accelerates.
The embodiment of the present invention additionally provides the battery charge controller between a kind of smart machine, includes the detecting of interconnection
Module and charging module：
The detecting module is configured to detect the system mode and hardware information of the smart machine, wherein, the hardware
Information includes the battery status information of hardware use state information and the smart machine；
The charging module is configured to the system mode and the hardware information sent according to the detecting module, it is determined that filling
Flow direction of the electric current between smart machine when electric, to determine charging object and discharge end.
Preferably, the charging module is further configured to when the system mode is main power down state or all
During equipment closed mode, flow direction of the electric current between the smart machine is determined according to the electricity of the battery.
Preferably, the hardware information also includes hardware configuration information, the detecting module is detected including system mode
Unit, the system mode detecting unit is connected with charging module, and the system mode detecting unit is configured to detect the system
Whether system state is on-hook to internal storage state so that the charging module the system mode be on-hook to internal storage state when,
The charging object is determined according to the hardware configuration information and battery status information.
Preferably, the detecting module includes system mode detecting unit and hardware state detecting unit, the system
State detecting unit and hardware state detecting unit are connected with the charging module；
The hardware state detecting unit is configured to detect the hardware use state information；
The system mode detecting unit is configured to detect whether the system mode is working condition, so that the charging
Module is defined as the charging object charging when the system mode is working condition according to the hardware use state information
Mode.
Preferably, the hardware state detecting unit is further configured to detect the CPU's and GPU of the charging object
Acceleration mode information, and make charging module discharge end according to the CPU and GPU acceleration mode information-driven be institute
State charging object and peak value electricity required during the CPU and GPU acceleration is provided.
The beneficial effect of the embodiment of the present invention is：In the case that this method can be charged between smart machine,
According to the own situation and service condition of smart machine, charging object and discharge end are effectively determined, and can be set according to intelligence
Standby state change adjusts charging modes, meets the need for electricity of smart machine so as to play the using effect of smart machine,
Consumer's Experience is good.
Brief description of the drawings
Fig. 1 is the flow chart of the charge control method between the smart machine of the embodiment of the present invention；
Fig. 2 is the annexation schematic diagram of the battery charge controller between the smart machine of the embodiment of the present invention；
Fig. 3 is the structured flowchart of the battery charge controller between the smart machine of the embodiment of the present invention.
Description of reference numerals
1- battery charge controller 2- smart machine 3- detecting modules
4- charging module 5- system mode detecting unit 6- hardware state detecting units
7- batteries
Embodiment
The various schemes and feature of the present invention are described herein with reference to accompanying drawing.
It should be understood that various modifications can be made to the embodiment invented herein.Therefore, description above should not be regarded
To limit, and only as the example of embodiment.Those skilled in the art will expect within the scope and spirit of
Other modifications.
Comprising in the description and constituting the accompanying drawing of a part of specification and show embodiments of the invention, and with it is upper
Substantially description and the detailed description given below to embodiment to the present invention that face is provided are used to explain the present invention together
Principle.
It is of the invention by description with reference to the accompanying drawings to the preferred form of the embodiment that is given as non-limiting examples
These and other characteristic will become apparent.
It is also understood that although with reference to some instantiations, invention has been described, people in the art
Member realize with can determine the present invention many other equivalents, they have feature as claimed in claim and therefore all
In the protection domain limited whereby.
When read in conjunction with the accompanying drawings, in view of described further below, in terms of above and other of the invention, feature and advantage will become
It is more readily apparent.
The specific embodiment of the present invention is described hereinafter with reference to accompanying drawing；It will be appreciated, however, that the embodiment invented is only
The example of the present invention, it can be implemented using various ways.The function and structure known and/or repeated is not described in detail to avoid
Unnecessary or unnecessary details make it that the present invention is smudgy.Therefore, the specific structural and feature invented herein is thin
Section is not intended to restrictions, but as just the basis of claim and representative basis for instruct those skilled in the art with
Substantially any appropriate detailed construction is diversely using the present invention.
This specification can be used phrase " in one embodiment ", " in another embodiment ", " in another embodiment
In " or " in other embodiments ", it may refer to according to one or more of identical or different embodiment of the present invention.
Charge control method between a kind of smart machine of the embodiment of the present invention, this method charging is flexible, such as can be
Charged between notebook computer, or charging action is carried out between notebook computer and tablet personal computer, as shown in figure 1, this fills
Electric control method includes：
Step 1, the system mode and hardware information of detecting smart machine 2, wherein, hardware information includes hardware use state
The status information of battery 7 of information and smart machine 2.Specifically, system mode includes the whole system of smart machine 2 and is in
A variety of situations, the S0 states of such as computer smart machine 2, S1 states, S2 states, S3 states, S4 states or S5 states etc..S0
State：Computer normal operating conditions, all hardware equipment is completely in the state of opening or normal work；S1 states：Also referred to as
POS (Power on Suspend, CPU be stopped), other hardware devices still normal work；S2 states：CPU is closed
Close, but remaining hardware device is still operated；S3 states：Commonly referred to as STR (Suspend to RAM, suspend to internal memory) shape
State, hard disk is closed after operating data are write into internal memory；S4 states：(Suspend to Disk are suspended to hard also referred to as STD
Disk), memory information writes hard disk, and then all parts are stopped；S5 states：All hardware equipment (including power supply) is all
Close, that is, shut down.Under these different system modes, the electric quantity consumption of smart machine 2 is different, is taken down notes under such as S5 states
This computer without too big need for electricity, and another notebook computer be in the need for electricity of smart machine 2 under S1 states compared with
Greatly, thus can be used under S5 states notebook computer be under S1 states notebook computer charging (two equipment can
To use type-c interface inter-links).Certainly only it is to lift a simply example to be illustrated herein, also considers smart machine
2 hardware information, includes the status information of battery 7 etc. of hardware use state information and smart machine 2, such as has the electricity of Full Charge Capacity
Charged to battery 7 in debt in pond 7.Specifically can be according to actual use situation, with pre- in detecting system state and hardware information
If time interval constantly detect, it is ensured that the system mode and hardware information of acquisition are close to true.In implementation
Independent hardware device can be used and combine corresponding software to reach detecting purpose；Smart machine 2 itself can also be utilized
Hardware and combine corresponding software and reach the purpose of detecting.
Step 2, flow direction of the electric current between smart machine 2 when determining to charge according to system mode and hardware information, with
It is determined that charging object and discharge end.Specifically, can be according to default rule in comprhensive deterministic system state and hardware information
Then it is any limitation as, the default rule can exist by the form of relation table, and can make limitation, every layer with multi-layer
Level can determine electric current to that should have system mode and hardware information with corresponding priority according to these preset rules
Flow direction, to determine charging object and discharge end, that is, determines that who for Whom charges, and when can stop charging action.
In one embodiment of invention, electric current when determining to charge according to system mode and hardware information is in smart machine
Including the step of flow direction between 2：When system mode is main power-off or all devices closed mode, according to battery 7
Electricity determines flow direction of the electric current between smart machine 2.Smart machine 2 handles the shape of low consumption electricity under above two state
State, now the electric quantity consumption of battery 7 is relatively slow, therefore can drive with the more smart machine 2 of electricity be with electricity compared with
Few smart machine 2 charges, for example, when two notebooks are S4 states or S5 states, two notes are read by CC pin
This capacity of battery 7, high power capacity can charge for low-capacity batteries 7, and when the capacity of battery 7 of charging object is more than 30%,
Or the capacity of battery 7 of discharge end is less than 50% and stops charging action.
In one embodiment of invention, hardware information also includes hardware configuration information, and hardware configuration information refers to intelligence
The data of the hardware having of equipment 2, the CPU or GPU of such as CPU or GPU configuration information, under normal circumstances smart machine 2
The operating efficiency of the more high then smart machine 2 of configuration can be higher, otherwise the more low then intelligence of the CPU or GPU of smart machine 2 configuration
The operating efficiency of equipment 2 can be lower, but the high power consumption of hardware configuration is really very low in many cases, and the low power consumption of hardware configuration is true
It is very high.In one embodiment, the charge control method also includes：When system mode is on-hook to internal storage state (S3 states)
When, charging object is determined according to hardware configuration information and the status information of battery 7.For example, with the smart machine 2 set low and power consumption is high
Charged to high and low in energy consumption smart machine 2 is configured, when the capacity of battery 7 of charging object is more than 30%, or discharge end electricity
The capacity of pond 7 stops after being less than 50%.The preset rules can effectively improve the whole work efficiency of smart machine 2, it is ensured that match somebody with somebody
Putting high equipment can lengthen working hours to effectively improve efficiency, and also ensures and set with the intelligence set low and power consumption is high
Standby 2 battery 7 will not be excessively in debt, protects hardware.
In one embodiment of invention, electric current when determining to charge according to system mode and hardware information is in smart machine
Including the step of flow direction between 2：When system mode is working condition (S0 state), determined according to hardware use state information
For the mode of charging object charging.In practical situations both, smart machine 2 is at working condition (S0 states), hardware and software
Working condition is also not quite similar.In one embodiment, under S0 states, when detecting in two smart machines 2, a use
Family is operated, and another does not carry out any operation, then can drive and not carry out the smart machine 2 of any operation to use
The smart machine 2 that family is being operated charges.In another embodiment, under S0 states, when user uses some APP
When, then other smart machines 2 can be driven to install and having used above-mentioned APP smart machine 2 to charge, and certain above-mentioned APP is (such as
Chat tool, mail etc.) it can be marked in advance, to be detected.
Furthermore, it is understood that the mode for being defined as charging object charging according to hardware use state information includes：Detect
Survey the CPU and GPU of charging object acceleration mode information；According to CPU and GPU acceleration mode information, discharge end is charging pair
As providing peak value electricity required during CPU and GPU acceleration.For example, the CPU or GPU of the first smart machine 2 of detecting are in turbo work(
During energy state, the battery 7 of the first smart machine 2 is powered as main power source for the turbo functions, and the second smart machine 2 (is put in addition
Electric end) by its type-C equipment for the CPU or GPU of the first smart machine 2 (charging object) turbo functions provide needed for
Peak value electricity, can so make charging object and discharge end cooperate, optimize charging scheme so that electric power application effect reaches
Maximize.In addition in one embodiment, when detecting the first smart machine 2 (charging object) because its capacity of battery 7 is too low,
When causing the equipment such as its USB or Type-C to be prohibited from using, the smart machine 2 needs to receive charging, and is set in the second intelligence
Lift a ban the USB of first smart machine 2 (charging object) during the type-C accesses of standby 2 (discharge ends), the function such as Type-C.
The embodiment of the present invention additionally provides the battery charge controller 1 between a kind of smart machine 2, the battery charge controller 1
So that can flexibly be charged between smart machine 2, it can such as be charged between notebook computer, or notebook electricity
Charging action is carried out between brain and tablet personal computer, as shown in Figures 2 and 3, the battery charge controller 1 includes：Including being connected with each other
Detecting module 3 and charging module 4：
Detecting module 3 is configured to detect the system mode and hardware information of smart machine 2, wherein, hardware information includes hard
The status information of battery 7 of part use state information and smart machine 2.Specifically, to include smart machine 2 whole for system mode
A variety of situations for being in of system, the S0 states of such as computer smart machine 2, S1 states, S2 states, S3 states, S4 states or
S5 states etc..S0 states：Computer normal operating conditions, all hardware equipment is completely in the state of opening or normal work；S1
State：Also referred to as POS (Power on Suspend, CPU be stopped), other hardware devices still normal work；S2 shapes
State：CPU is closed, but remaining hardware device is still operated；S3 states：(Suspend to RAM are hung up commonly referred to as STR
To internal memory) state, close hard disk after operating data are write into internal memory；S4 states：Also referred to as STD (Suspend to
Disk, suspends to hard disk), memory information writes hard disk, and then all parts are stopped；S5 states：All hardware equipment (bag
Include power supply) all close, that is, shut down.Under these different system modes, the electric quantity consumption of smart machine 2 is different,
Notebook computer is without too big need for electricity under such as S5 states, and another notebook computer is in smart machine under S1 states
2 need for electricity is larger, therefore when detecting module 3 detects situation, charging module 4 can drive to be taken down notes under S5 states
This computer is the notebook computer charging under S1 states (two equipment can use type-c interface inter-links).Certainly herein only
It is to lift a simply example to be illustrated, also considers the hardware information of smart machine 2, including hardware use state information
With the status information of battery 7 of smart machine 2 etc., such as charging module 4 drives the battery 7 with Full Charge Capacity to be filled to battery 7 in debt
Electricity.Specific detecting module 3 can be according to actual use situation, between the default time in detecting system state and hardware information
Every constantly detecting, it is ensured that the system mode and hardware information of acquisition are close to true.In the reality of the detecting function of detecting module 3
Independent hardware device can be used in existing mode and combines corresponding software to reach detecting purpose；It can also be set using intelligence
Standby 2 itself hardware and corresponding software is combined to reach the purpose of detecting.
Charging module 4 is configured to system mode and the hardware information sent according to detecting module 3, it is determined that electric current during charging
Flow direction between smart machine 2, to determine charging object and discharge end.Specifically, charging module 4 is carrying out charging operations
System mode and hardware information that comprehensive descision detecting module 3 is sent are needed before, it is possible to limited according to default rule
System, the default rule can exist by the form of relation table, and can make limitation with multi-layer, be corresponded to per level
There are system mode and hardware information with corresponding priority, charging module 4 can determine electric current according to these preset rules
Flow direction, to determine charging object and discharge end, that is, determine that who for Whom charges, and when can stop the charging electric
Make.
In one embodiment of invention, with reference to Fig. 2, charging module 4 is further configured to when system mode is main power source
When closed mode or all devices closed mode, flow direction of the electric current between smart machine 2 is determined according to the electricity of battery 7.
Smart machine 2 handles the state of low consumption electricity under above two state, and now the electric quantity consumption of battery 7 is relatively slow, therefore fills
Electric module 4 can be driven with the more smart machine 2 of electricity to be charged with the less smart machine 2 of electricity, for example, two
When notebook is S4 states or S5 states, charging module 4 can read the capacity of battery 7 of two notebooks by CC pin,
Driving high power capacity can charge for low-capacity batteries 7, and when the capacity of battery 7 of charging object is more than 30%, or discharge end
The capacity of battery 7 be less than 50% charging module 4 and stop charging action.
In one embodiment of invention, hardware information also includes hardware configuration information, and hardware configuration information refers to intelligence
The data of the hardware having of equipment 2, the CPU or GPU of such as CPU or GPU configuration information, under normal circumstances smart machine 2
The operating efficiency of the more high then smart machine 2 of configuration can be higher, otherwise the more low then intelligence of the CPU or GPU of smart machine 2 configuration
The operating efficiency of equipment 2 can be lower, but the high power consumption of hardware configuration is really very low in many cases, and the low power consumption of hardware configuration is true
It is very high.In one embodiment, detecting module 3 includes system mode detecting unit 5, system mode detecting unit 5 and charging mould
Block 4 is connected, system mode detecting unit 5 be configured to detecting system state whether be on-hook to internal storage state (S3 states) so that
Charging module 4 system mode be on-hook to internal storage state (S3 states) when, according to hardware configuration information and the status information of battery 7
It is determined that charging object.For example, when system mode detecting unit 5 detect system mode for on-hook to internal storage state when, charging mould
Block 4 can be performed：Charged with the smart machine 2 set low and power consumption is high to high and low in energy consumption smart machine 2 is configured, when charging pair
The capacity of battery 7 of elephant is more than 30%, or the capacity of battery 7 of discharge end is less than 50% stopping later.What charging module 4 was performed should
Preset rules can effectively improve the whole work efficiency of smart machine 2, it is ensured that the high equipment of configuration can lengthen working hours
So as to effectively improve efficiency, and also ensure with setting low and the battery 7 of smart machine 2 that power consumption is high will not be excessively in debt, protect
Hardware is protected.
In one embodiment of invention, as shown in figure 3, detecting module 3 includes system mode detecting unit 5 and hardware shape
State detecting unit 6, system mode detecting unit 5 and hardware state detecting unit 6 are connected with charging module 4；Hardware state is detectd
Unit 6 is surveyed to be configured to detect hardware use state information；System mode detecting unit 5 is configured to whether detecting system state is work
Make state (S0 states), so that charging module 4 is when system mode is working condition (S0 state), believed according to hardware use state
Breath is defined as the mode of charging object charging.In practical situations both, smart machine 2 is at working condition (S0 states), hardware and
The working condition of software is also not quite similar.In one embodiment, under S0 states, when hardware state detecting unit 6 is detected
In two smart machines 2, a user operates, and another does not carry out any operation, then charging module 4 can drive
The dynamic smart machine 2 without any operation of progress charges for the smart machine 2 that user is operating.In another embodiment,
Under S0 states, when hardware state detecting unit 6, which detects on hardware device operation, some APP that user is using,
Then charging module 4 can drive other smart machines 2 to install and having used above-mentioned APP smart machine 2 to charge, certainly above-mentioned
APP (such as chat tool, mail etc.) can be marked in advance, to be detected.
Furthermore, it is understood that hardware state detecting unit 6 is further configured to the CPU and GPU of detecting charging object acceleration
Status information, and make charging module 4 according to CPU and GPU acceleration mode information-driven discharge end for charging object provides CPU with
Peak value electricity required when accelerating GPU.For example, CPU or GPU that hardware state detecting unit 6 detects the first smart machine 2 exist
During turbo functional statuses, charging module 4 drives the battery 7 of the first smart machine 2 to be powered as main power source for the turbo functions,
In addition drive the second smart machine 2 (discharge end) by its type-C equipment for the first smart machine 2 (charging object) CPU or
GPU turbo functions provide required peak value electricity, charging object and discharge end is cooperated, optimization charging
Scheme so that electric power application effect reaches maximization.In addition in one embodiment, when hardware state detecting unit 6 is detected
First smart machine 2 (charging object) is too low due to its capacity of battery 7, causes the equipment such as its USB or Type-C to be prohibited from using
When, driving charging module 4 is that the smart machine 2 charges, and is solved in the type-C accesses of the second smart machine 2 (discharge end)
Prohibit the USB of first smart machine 2 (charging object), the function such as Type-C.
Above example is only the exemplary embodiment of the present invention, is not used in the limitation present invention, protection scope of the present invention
It is defined by the claims.Those skilled in the art can make respectively in the essence and protection domain of the present invention to the present invention
Modification or equivalent substitution are planted, this modification or equivalent substitution also should be regarded as being within the scope of the present invention.
Claims (10)
1. the charge control method between a kind of smart machine, including：
The system mode and hardware information of the smart machine are detected, wherein, the hardware information is believed including hardware use state
The battery status information of breath and the smart machine；
Flow direction of the electric current between smart machine when determining to charge according to the system mode and hardware information, to determine
Charge object and discharge end.
2. according to the method described in claim 1, the electricity according to when the system mode and hardware information determination charging
The flow direction flowed between the smart machine includes：When the system mode is that main power down state or all devices close shape
During state, flow direction of the electric current between the smart machine is determined according to the electricity of the battery.
3. according to the method described in claim 1, the hardware information also includes hardware configuration information, methods described also includes：
When the system mode be on-hook to internal storage state when, according to the hardware configuration information and battery status information determination described in fill
Electric object.
4. according to the method described in claim 1, the electricity according to when the system mode and hardware information determination charging
The flow direction flowed between the smart machine includes：When the system mode is working condition, shape is used according to the hardware
State information is defined as the mode of the charging object charging.
5. method according to claim 4, described to be defined as the charging pair according to the hardware use state information
As the mode of charging includes：The CPU and GPU of the detecting charging object acceleration mode information；According to the CPU's and GPU
Acceleration mode information, the discharge end is the peak value electricity needed for the charging object is provided when the CPU and GPU accelerates.
6. the battery charge controller between a kind of smart machine, includes the detecting module and charging module of interconnection：
The detecting module is configured to detect the system mode and hardware information of the smart machine, wherein, the hardware information
Battery status information including hardware use state information and the smart machine；
The charging module is configured to the system mode and the hardware information sent according to the detecting module, it is determined that during charging
Flow direction of the electric current between the smart machine, to determine charging object and discharge end.
7. device according to claim 6, the charging module is further configured to when the system mode is main power source
When closed mode or all devices closed mode, stream of the electric current between the smart machine is determined according to the electricity of the battery
To.
8. device according to claim 6, the hardware information also includes hardware configuration information, the detecting module includes
System mode detecting unit, the system mode detecting unit is connected with charging module, the system mode detecting unit configuration
For detect the system mode whether be on-hook to internal storage state so that the charging module is that on-hook is arrived in the system mode
During internal storage state, the charging object is determined according to the hardware configuration information and battery status information.
9. device according to claim 6, the detecting module includes system mode detecting unit and hardware state is detected
Unit, the system mode detecting unit and hardware state detecting unit are connected with the charging module；
The hardware state detecting unit is configured to detect the hardware use state information；
The system mode detecting unit is configured to detect whether the system mode is working condition, so that the charging module
When the system mode is working condition, the side that the charging object charges is defined as according to the hardware use state information
Formula.
10. device according to claim 9, the hardware state detecting unit is further configured to detect the charging pair
The CPU and GPU of elephant acceleration mode information, and make the charging module according to the CPU and GPU acceleration mode information-driven
The discharge end is the peak value electricity needed for the charging object is provided when the CPU and GPU accelerates.
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| CN201710488764.3A CN107147185B (en) | 2017-06-23 | 2017-06-23 | Charging control method and device between intelligent devices |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108536267A (en) * | 2018-03-30 | 2018-09-14 | 联想(北京)有限公司 | Information processing method and electronic equipment |
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| CN109144215A (en) * | 2018-09-30 | 2019-01-04 | 联想(北京)有限公司 | A kind of control method and the first equipment |
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