CN110146819A - Practical heating-up time evaluation method and system, automobile, device and computer readable storage medium before battery charges - Google Patents
Practical heating-up time evaluation method and system, automobile, device and computer readable storage medium before battery charges Download PDFInfo
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- CN110146819A CN110146819A CN201910429169.1A CN201910429169A CN110146819A CN 110146819 A CN110146819 A CN 110146819A CN 201910429169 A CN201910429169 A CN 201910429169A CN 110146819 A CN110146819 A CN 110146819A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
Abstract
Practical heating-up time evaluation method before charging the present invention relates to a kind of battery, include the following steps: step 1: before obtaining battery charging, the battery is warming up to the ideal benchmark heating-up time RfTiTemp when battery charging low temperature threshold temperature Time0 at current environmental temperature Wc by current own temperature tc；Step 2: obtaining at least one of the hot coefficient CnsF of load consumption that heating-up time estimation influences before charging gun output power charges on the hot coefficient ChrgModeF of charging modes of the ideal benchmark heating-up time estimation influence and load consumption on battery；Step 3: practical heating-up time ChrgPHeatTi when being warming up to the battery charging low temperature threshold temperature Time0 by the current own temperature before the battery charging is estimated according at least one of the hot coefficient ChrgModeF of the charging modes and the hot coefficient CnsF of the load consumption and the ideal benchmark heating-up time RfTiTemp.
Description
Technical field
The present invention relates to practical heating-up time evaluation method before battery applications field more particularly to a kind of charging of battery and it is
System, automobile, device and computer readable storage medium.
Background technique
Currently, electric car uses LiFePO4 and ternary material battery as power battery more in the market, by battery material
The limitation of material factor, the type power battery charging performance are unable to satisfy the charging performance requirement under low temperature environment.Lithium ion battery
In low temperature charging, lithium ion may have little time to be embedded in graphite cathode, form lithium metal branch in negative terminal surface to be precipitated
Crystalline substance, this reaction, which can consume in battery, with the lithium ion of repeated charge and battery capacity is greatly reduced, the metal of precipitation
Li dendrite may also can pierce through diaphragm, to influence security performance.
Under severe cold environment, when the temperature of battery itself is lower than charging temperature is allowed, first will before needing to charge the battery
Battery is heated to allowing charging temperature.At this point, electric car need heat how long could be to power battery charging really
Car owner's very concern.
Summary of the invention
In order to solve the above technical problems, it is necessary to provide practical heating-up time evaluation method before a kind of charging of battery and being
System, automobile, device and computer readable storage medium.
A kind of preceding practical heating-up time evaluation method of battery charging, according to an embodiment of the present, including walks as follows
It is rapid:
Step 1: before obtaining battery charging, the battery is warming up at current environmental temperature Wc by current own temperature tc
Ideal benchmark heating-up time RfTiTemp when the battery charging low temperature threshold temperature Time0；
Step 2: obtaining the charging modes heat system that charging gun output power influences the ideal benchmark heating-up time estimation
In the hot coefficient CnsF of load consumption that heating-up time estimation influences before number ChrgModeF and load consumption charge on battery at least
One；
Step 3: according in the hot coefficient ChrgModeF of the charging modes and the hot coefficient CnsF of the load consumption at least
It is warming up to before one and the ideal benchmark heating-up time RfTiTemp estimation battery charging by the current own temperature
Practical heating-up time ChrgPHeatTi when the battery charging low temperature threshold temperature Time0.
According to an embodiment of the present, the step 1 includes:
Obtain the current own temperature tc of the battery；
Obtain multiple and different default environment temperature W1 ..., the battery is different default from least two under Wm
Key temperatures value t1 ..., the own temperature of tn be warming up to measured time of the battery charging low temperature threshold temperature Time0
T1 ..., Tn, wherein n is natural number, and it is natural number that n, which is more than or equal to 2, m, and m is more than or equal to 2；
If it is natural number that the current own temperature tc of the battery, which is equal to wherein default key temperatures value a ti, i, i is greater than
Equal to 1 and it is less than or equal to n, then estimates that the ideal benchmark heating-up time RfTiTemp is the battery in default environment temperature Wj
Under the corresponding measured time Ti of the default key temperatures value ti, wherein the default environment temperature Wj is equal to described current
Environment temperature Wc.
According to an embodiment of the present, if the current own temperature tc of the battery is equal to a wherein default crucial temperature
Angle value ti, if wherein the default key temperatures value ti under a default environment temperature Wv and its corresponding measured time Ti is base
Default key temperatures value ti when T0 between punctual, the default environment temperature Wj are equal to the current environmental temperature Wc and its
Corresponding measured time Ti ' is current time, and the fiducial time T0 and the current time define current environment coefficient function
EnvtlF=Ti '/Ti, wherein the fiducial time T0, the current own temperature tc and the current environmental temperature Wc are corresponding
Current environment coefficient function EnvtlF be pre-stored in a storage device, the estimation ideal benchmark heating-up time
The step of RfTiTemp the following steps are included:
Obtain the fiducial time T0；
The current environment coefficient function is obtained according to the current own temperature tc and current environmental temperature Wc
EnvtlF；
According to the fiducial time T0 and current environment coefficient function EnvtlF estimation the battery it is current from
Ideal benchmark heating-up time RfTiTemp=T0*EnvtlF=Ti*Ti '/Ti, i.e. RfTiTemp=Ti when body temperature tc.
According to an embodiment of the present, if the current own temperature tc of the battery is greater than the default key temperatures
Value ti and it is less than default key temperatures value t (i+1), then sets the default key temperatures value under a wherein default environment temperature Wv
The linear function that ti, t (i+1) and its corresponding measured time Ti, T (i+1) are constituted is benchmark function of time RfTiTempWv=
FWv (tx), wherein tx is the own temperature variable of the battery, and the default environment temperature Wj is equal to the current environmental temperature
The linear function that default key temperatures value ti, t (i+1) and its corresponding measured time Ti ', T (i+1) ' when Wc are constituted
For current time function RfTiTempWj=fWj (tx), the fiducial time function RfTiTempWv=fWv (tx) is worked as with described
Preceding function of time RfTiTempWj=fWj (tx) defines current environment coefficient function EnvtlF (tx)=fWj (tx)/fWv (tx).
Fiducial time function Ti, the T (i+1), the current own temperature tc and the current environmental temperature Wc are corresponding
Current environment coefficient function EnvtlF be pre-stored in a storage device, the estimation ideal benchmark heating-up time
The step of RfTiTemp the following steps are included:
Obtain fiducial time Ti, the T (i+1)；
Obtain that default key temperatures value ti, t (i+1) is corresponding described to work as front ring according to the current environmental temperature Wc
The border coefficient function EnvtlF then corresponding electricity of default key temperatures value ti, t (i+1) under the current environmental temperature Wc
Pond ideal benchmark heating-up time RfTiTemp is RfTiTempti=Ti*EnvtlF and RfTiTempt (i+1)=T (i+1) *
EnvtlF；
Described in being calculated according to default key temperatures value ti, t (i+1) the corresponding battery ideal benchmark heating-up time
Default key temperatures value ti, t (i+1) when default environment temperature Wj is equal to the current environmental temperature Wc and its corresponding
The linear function that measured time Ti*EnvtlF, T (i+1) * EnvtlF are constituted is current time function RfTiTempWj=fWj
(tx)。
Then the function of the own temperature of battery ideal benchmark heating-up time RfTiTemp and battery composition is
RfTiTemp=fWj (tx) * EnvtlF, and then when estimating ideal benchmark heating when the current own temperature of the battery is tc
Between RfTiTemp=fWv (tc) * EnvtlF (tc), i.e. RfTiTemp=fWv (tc) * fWj (tc)/fWv (tc)=fWj (tc).
According to an embodiment of the present, the step 2 includes the acquisition charging gun output power to described
The step of charging modes that the estimation of ideal benchmark heating-up time influences hot coefficient ChrgModeF, and described obtain the charging gun
The step of charging modes that output power influences the ideal benchmark heating-up time estimation hot coefficient ChrgModeF includes:
Obtain the heating power of the heating device to heat up to the battery；
Obtain the charging gun output power to heat up to the battery；
Calculate the heating power of the heating device of the battery heating and the ratio R 1 of the charging gun output power；
If the ratio R 1 is greater than 1, the hot coefficient ChrgModeF of charging modes is equal to the ratio；
If the ratio R 1 is less than or equal to 1, the hot coefficient ChrgModeF=1 of charging modes.
According to an embodiment of the present, the battery is in an equipment, the also equipment to include described for giving
The heating device of the battery heating, the step 2 include heating-up time estimation before the load consumption charges to the battery
The step of load consumption of influence hot coefficient CnsF, and the load consumption charge on the battery before heating-up time estimation influence
Load consumption hot coefficient CnsF the step of include:
Obtain the heating power of the heating device to heat up to the battery；
Obtain the charging gun output power to heat up to the battery；
It obtains the equipment and removes other bearing powers other than the heating device；
The difference of the charging gun output power and other bearing powers is calculated,
If the difference be less than the heating power, the hot coefficient CnsF of load consumption be equal to the difference with it is described
The ratio of heating power；
If the difference is more than or equal to the heating power, the hot coefficient CnsF of load consumption is equal to 1.
According to an embodiment of the present, the hot coefficient ChrgModeF of charging modes described in the step 3 and described negative
Before carrying at least one of chargeable heat coefficient CnsF, estimating the battery charging with the ideal benchmark heating-up time RfTiTemp
Practical heating-up time when being warming up to battery charging low temperature threshold temperature Time0 by the current own temperature
ChrgPHeatTi step includes:
The ideal benchmark heating-up time RfTiTemp and hot coefficient ChrgModeF of the charging modes and the load disappear
It is to be warming up to the electricity by the current own temperature before the battery charges that at least one of heat dissipation coefficient CnsF, which is multiplied,
Practical heating-up time ChrgPHeatTi when the charging low temperature threshold temperature Time0 of pond.
According to an embodiment of the present, according to the hot coefficient ChrgModeF of the charging modes and institute in the step 3
It states at least one of hot coefficient CnsF of load consumption, estimate that the battery fills with the ideal benchmark heating-up time RfTiTemp
Practical heating-up time when being warming up to the battery charging low temperature threshold temperature Time0 by the current own temperature before electric
ChrgPHeatTi step includes:
The hot coefficient ChrgModeF of charging modes and the load consumption described in ideal benchmark heating-up time RfTiTemp
Hot coefficient CnsF, which is multiplied before the as described battery charging, is warming up to the battery charging low temperature door by the current own temperature
Limit practical heating-up time ChrgPHeatTi when temperature Time0.
A kind of preceding practical heating-up time estimating system of battery charging, according to an embodiment of the present, the battery fills
Practical heating-up time estimating system includes ideal benchmark heating-up time computing module, with reference to coefficients calculation block, practical liter before electricity
Warm time computing module, before the ideal benchmark heating-up time computing module is for acquisition or counting cell charging, the battery
Tc is warming up to the ideal when battery charging low temperature threshold temperature Time0 at current environmental temperature Wc by current own temperature
Benchmark heating-up time RfTiTemp, it is described to be used to obtain charging gun output power to the ideal benchmark with reference to coefficients calculation block
The heating-up time estimates shadow before the hot coefficient ChrgModeF of charging modes and load consumption that heating-up time estimation influences charge to battery
At least one of hot coefficient CnsF of loud load consumption, the practical heating-up time computing module are used for according to the charging side
At least one of the hot coefficient ChrgModeF of formula and the hot coefficient CnsF of the load consumption and the ideal benchmark heating-up time
RfTiTemp, which is estimated, is warming up to the battery charging low temperature threshold temperature by the current own temperature before the battery fills a little
Practical heating-up time ChrgPHeatTi when Time0.
According to an embodiment of the present, the ideal benchmark heating-up time computing module includes obtaining the benchmark heating-up time
Modulus block, environmental coefficient obtain module and computing module, and the benchmark heating-up time obtains module for obtaining fiducial time Ti
Or fiducial time function fWv (tx), the environmental coefficient obtain module for obtaining current environment coefficient EnvtlF or working as front ring
Border coefficient function EnvtlF (tx), the computing module are used for according to the fiducial time Ti and the current environment coefficient
The ideal benchmark heating-up time that EnvtlF is calculated when the current own temperature of the battery is tc is Ti*EnvtlF or according to institute
State fiducial time function fWv (tx) and described or current environment coefficient function EnvtlF (tx) calculate the battery it is current itself
Ideal benchmark heating-up time when temperature is tc is RfTiTemp=fWv (tc) * EnvtlF (tc).
According to an embodiment of the present, the coefficients calculation block that refers to further includes that the hot coefficient of charging modes calculates mould
The hot coefficients calculation block of block, load consumption, the hot coefficients calculation block of charging modes is for calculating charging gun output power pair
The hot coefficient ChrgModeF of charging modes that the ideal benchmark heating-up time estimation influences, the hot coefficient of load consumption calculate
Module is consumed for computational load on the hot coefficient CnsF of load consumption that heating-up time estimation influences before battery charging.
A kind of automobile, according to an embodiment of the present, the automobile include processor, the processor be stored with to
A few instruction, before at least one described instruction realizes the charging of battery described in above-mentioned any one embodiment when being executed by processor
The step of practical heating-up time evaluation method.
According to an embodiment of the present, the automobile further includes battery, heating device and output device, the battery
It is lithium-ion-power cell for the power battery and/or the battery of new-energy automobile, the heating device is to the battery
The device of heating, the output device is for calculating the resulting battery charging after executing instruction to user's output processor before
Heating-up time.
A kind of device comprising memory and processor, according to an embodiment of the present, the memory are stored with
At least one instruction, at least one described instruction realize that battery described in above-mentioned any one embodiment charges when being executed by processor
The step of preceding practical heating-up time evaluation method.
A kind of computer readable storage medium, according to an embodiment of the present, the readable storage medium storing program for executing are stored with
At least one instruction, at least one described instruction realize that battery described in above-mentioned any one embodiment charges when being executed by processor
The step of preceding practical heating-up time evaluation method.
Compared with the prior art, according to the battery of above-described embodiment charge before practical heating-up time evaluation method and system, estimate
It calculates management method and system, automobile, device and computer readable storage medium is to the heating before battery charging under low temperature environment
Time is estimated, the remaining time of not traditional estimation battery charging, may remind the user that locating for present battery
Charged state be heat temperature raising state, do not charge also, user avoided to cause to misread using uncharged battery in advance, this
It is more preferable that family car experience can be used under the north or winter low temperature environment in function, and the practical heating-up time estimation includes three
Kind mode: 1, ideal benchmark heating-up time RfTiTemp is as the practical heating-up time, 2, ideal benchmark heating-up time
RfTiTemp and environmental coefficient EnvtlF, the hot coefficient ChrgModeF of charging modes, at least one in the hot coefficient CnsF of load consumption
It is a to estimate the practical heating-up time, 3, ideal benchmark heating-up time RfTiTemp and environmental coefficient EnvtlF, charging side jointly
The hot coefficient ChrgModeF of formula, the hot coefficient CnsF of load consumption estimate the practical heating-up time jointly, so that the practical heating
The estimation of time is more accurate.
Further, according to an embodiment of the present, the estimation of the practical heating-up time includes environmental coefficient
The hot coefficient ChrgModeF of EnvtlF, charging modes, the hot coefficient CnsF of load consumption can more accurately estimate the heating-up time, and
Implementation technology is simultaneously uncomplicated.
Further, according to an embodiment of the present, the environmental coefficient EnvtlF is stored with percents,
The estimation for just making battery charge the preceding practical heating-up time can also be being imitated according to environment, geographic factor before in difference
It region can be more accurate.
In addition, according to an embodiment of the present, the practical heating-up time can be current in acquisition battery before battery charges
It is constantly modified after own temperature, improves user experience.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is the process of practical heating-up time evaluation method before a kind of battery that an embodiment of the present invention provides charges
Figure.
Fig. 2 is that the structure of practical heating-up time estimating system before a kind of battery that an embodiment of the present invention provides charges is shown
It is intended to.
Fig. 3 is the flow chart of practical heating-up time evaluation method before another a kind of battery of embodiment of the invention charges.
Fig. 4 is a kind of structural schematic diagram for automobile that an embodiment of the present invention provides.
Fig. 5 is the device for executing practical heating-up time evaluation method before battery charges that an embodiment of the present invention provides
Structural schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
Description and claims of this specification and term " first " in above-mentioned attached drawing, " second " and " third " etc. are
For distinguishing different objects, not for description particular order.In addition, term " includes " and their any deformations, it is intended that
Non-exclusive include in covering.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally further comprising
For the intrinsic other step or units of these process, methods, product or equipment.
Embodiment: practical heating-up time evaluation method and system before battery charges
As shown in Figure 1 and Figure 2, Fig. 1 is practical heating-up time estimation side before a kind of battery provided in an embodiment of the present invention charges
The flow chart of method, Fig. 2 are the structures of practical heating-up time estimating system 100 before a kind of battery provided in an embodiment of the present invention charges
Schematic diagram, it is preceding real to can be used for executing the charging of battery described in Fig. 1 for practical heating-up time estimating system 100 before the battery charges
Border heating-up time evaluation method.
Specifically, practical heating-up time estimating system 100 may include the ideal benchmark heating-up time before the battery charges
Computing module 110, with reference to coefficients calculation block 120 and practical heating-up time computing module 130.
Practical heating-up time evaluation method includes the following steps S1, S2 and S3 before the battery charges.
Step S1: before obtaining battery charging, the battery is heated up at current environmental temperature Wc by current own temperature tc
Ideal benchmark heating-up time RfTiTemp when charging low temperature threshold temperature Time0 to the battery.
Wherein, the step S1 can be executed by the ideal benchmark heating-up time computing module 110；
Step S2: the charging modes heat system that charging gun output power influences the ideal benchmark heating-up time estimation is obtained
In the hot coefficient CnsF of load consumption that heating-up time estimation influences before number ChrgModeF and load consumption charge on battery at least
One.
Wherein, the step S2 can be executed by described with reference to coefficients calculation block 120；
Step S3: according in the hot coefficient ChrgModeF of the charging modes and the hot coefficient CnsF of the load consumption extremely
It is heated up before few one and ideal benchmark heating-up time RfTiTemp estimation battery charging by the current own temperature
Practical heating-up time ChrgPHeatTi when charging low temperature threshold temperature Time0 to the battery.
Wherein, the step S3 can be executed by the practical heating-up time computing module 130.
It describes in detail below to step S1, S2 and S3.Specifically, the step S1 may further include with
Lower step S11, S12, S13 and S14.
Step S11: the current own temperature tc of the battery is obtained；
Step S12: obtain multiple and different default environment temperature W1 ..., under Wm the battery from least two not
With default key temperatures value t1 ..., the own temperature of tn be warming up to the battery charging low temperature threshold temperature Time0's
Measured time T1 ..., Tn, wherein n is natural number, and it is natural number that n, which is more than or equal to 2, m, and m is more than or equal to 2；
Step S13: if it is nature that the current own temperature tc of the battery, which is equal to wherein default key temperatures value a ti, i,
Number, i are more than or equal to 1 and are less than or equal to n, then estimate that the ideal benchmark heating-up time RfTiTemp is the battery in default ring
The corresponding measured time Ti of the default key temperatures value ti under the temperature Wj of border, wherein the default environment temperature Wj is equal to
The current environmental temperature Wc；
Step S14: if the current own temperature tc of the battery is greater than the default key temperatures value ti and is less than default
Key temperatures value t (i+1), then set default key temperatures value ti, t (i+1) under a wherein default environment temperature Wv and its
The linear function that corresponding measured time Ti, T (i+1) are constituted is benchmark function of time RfTiTempWv=fWv (tx), wherein tx
It is described default when the default environment temperature Wj is equal to the current environmental temperature Wc for the own temperature variable of the battery
The linear function that key temperatures value ti, t (i+1) and its corresponding measured time Ti ', T (i+1) ' are constituted is current time function
RfTiTempWj=fWj (tx), the fiducial time function RfTiTempWv=fWv (tx) and the current time function
RfTiTempWj=fWj (tx) defines current environment coefficient function EnvtlF (tx)=fWj (tx)/fWv (tx).
Specifically, in the step S13, if the current own temperature tc of the battery is equal to a wherein default key temperatures
Value ti, if on the basis of the default key temperatures value ti and its corresponding measured time Ti wherein under a default environment temperature Wv
Time T0, the default environment temperature Wj are equal to the default key temperatures value ti and its right when the current environmental temperature Wc
The measured time Ti ' answered is current time, and the fiducial time T0 and the current time define current environment coefficient function
EnvtlF=Ti '/Ti, wherein the fiducial time T0, the current own temperature tc and the current environmental temperature Wc are corresponding
Current environment coefficient function EnvtlF be pre-stored in a storage device, the estimation ideal benchmark heating-up time
The step of RfTiTemp the following steps are included:
Obtain the fiducial time T0；
The current environment coefficient function is obtained according to the current own temperature tc and current environmental temperature Wc
EnvtlF；
According to the fiducial time T0 and current environment coefficient function EnvtlF estimation the battery it is current from
Ideal benchmark heating-up time RfTiTemp=T0*EnvtlF=Ti*Ti '/Ti, i.e. RfTiTemp=Ti when body temperature tc.
Specifically, in the step S14, fiducial time function Ti, the T (i+1), the current own temperature tc and institute
It states the corresponding current environment coefficient function EnvtlF of current environmental temperature Wc to be pre-stored in a storage device, the estimation
The step of ideal benchmark heating-up time RfTiTemp the following steps are included:
Obtain fiducial time Ti, the T (i+1)；
Obtain that default key temperatures value ti, t (i+1) is corresponding described to work as front ring according to the current environmental temperature Wc
Border coefficient function EnvtlF, wherein the corresponding institute of default key temperatures value ti, t (i+1) under the current environmental temperature Wc
Stating battery ideal benchmark heating-up time RfTiTemp is RfTiTempti=Ti*EnvtlF and RfTiTempt (i+1)=T (i+
1)*EnvtlF；
Described in being calculated according to default key temperatures value ti, t (i+1) the corresponding battery ideal benchmark heating-up time
Default key temperatures value ti, t (i+1) when default environment temperature Wj is equal to the current environmental temperature Wc and its corresponding
The linear function that measured time Ti*EnvtlF, T (i+1) * EnvtlF are constituted is current time function RfTiTempWj=fWj
(tx)
The function that own temperature according to battery ideal benchmark heating-up time RfTiTemp and the battery is constituted is
RfTiTemp=fWj (tx) * EnvtlF, and then when estimating ideal benchmark heating when the current own temperature of the battery is tc
Between RfTiTemp=fWv (tc) * EnvtlF (tc), i.e. RfTiTemp=fWv (tc) * fWj (tc)/fWv (tc)=fWj (tc).
It is appreciated that " acquisition " may include from external memory in step S12, S13 and step S14
Or other devices obtain, call or receive and obtain the battery current own temperature and default key temperatures value
T1 ..., the tn corresponding ideal benchmark heating-up time, also may include calculating mould from the ideal benchmark heating-up time
Block 110 itself obtain the pre-stored battery current own temperature and default key temperatures value t1 ..., tn it is corresponding
The ideal benchmark heating-up time.Wherein, preset environment temperature W1 ..., Wm, default key temperatures value t1 ...,
The storage form of the tn corresponding ideal benchmark heating-up time can be using form shown in the following table 1.
Please refer to table 1, the different default environment temperature W1 ..., Wm can be respectively -40 DEG C, -30 DEG C, -20
DEG C, -10 DEG C, -5 DEG C, the default key temperatures value t1 ..., tn can also be respectively -40 DEG C, -30 DEG C, -20 DEG C, -10
℃、-5℃。
As shown in table 1, for example, be stored in advance in memory it is described the default environment temperature W1 of difference ..., Wm
Under the battery from the default key temperatures value t1 ..., that the own temperature of tn is warming up to the battery charging respectively is low
The measured time T1 of warm threshold temperature Time0 ..., Tn, the electricity under one of them default environment temperature W1 can be chosen
Pond from the default key temperatures value t1 ..., the own temperature of tn be warming up to the battery charging low temperature thresholding temperature respectively
The measured time for spending Time0 is the benchmark heating-up time, in one embodiment, environment temperature is selected to be equal to the crucial temperature of minimum predetermined
When angle value t1 the corresponding measured time be the benchmark heating-up time, as shown in table 1, can choose environment temperature be -40 DEG C when, it is described
Measured time T1 ..., T5, then define the default pass under reference ambient temperature a Ws, the reference ambient temperature Ws
The linear function that key temperature value ti, t (i+1) and its corresponding measured time Ti, T (i+1) are constituted is ideal fiducial time function
RfTiTemp=fWs (tx), tx are the own temperature variable of the battery, when the current own temperature for estimating the battery is tc
Ideal benchmark heating-up time RfTiTemp=fWs (tc).
If current environmental temperature locating for the battery is -20 DEG C, the current own temperature of the battery is -30 DEG C, i.e.,
The current own temperature tc of the battery is equal to a wherein default key temperatures value ti (- 30 DEG C) and current environmental temperature is equal to it
In a default environment temperature Wv (- 20 DEG C), then estimate the battery current environmental temperature be -20 DEG C and current own temperature
Ideal benchmark heating-up time RfTiTemp when being -30 DEG C can directly be read as the measured time T2 ', institute from memory
It states under reference ambient temperature Ws (- 40 DEG C), the current own temperature of the battery ideal benchmark heating-up time when being -30 DEG C
RfTiTemp is T2, then environmental coefficient when the current own temperature of the battery is -30 DEG C is EnvtlF=T2 '/T2.
According to the fiducial time T2 and current environment coefficient function EnvtlF estimation the battery it is current from
Ideal benchmark heating-up time RfTiTemp=T2*EnvtlF=T2*T2 '/T2, i.e. RfTiTemp when body temperature tc (- 30 DEG C)
=T2.
If the current own temperature of the battery is -35 DEG C, differed since the current own temperature of the battery is -35 DEG C
In any one of default key temperatures value t1 ..., tn, then choose the current own temperature -35 of the even described battery
DEG C it is greater than default -40 DEG C of the key temperatures value and is less than default -30 DEG C of key temperatures value and current environmental temperature is equal to it
In Wj=-20 DEG C of a default environment temperature, then -40 DEG C, -30 DEG C at described Wj=20 DEG C of default environment temperature and its corresponding
Measured time is read as the linear function of T1 ', T2 ' composition from memory directly as ideal fiducial time function RfTiTemp=
F-20 DEG C (tx), estimate ideal when current environmental temperature locating for the battery is -20 DEG C and current own temperature is -35 DEG C
RfTiTemp=f-20 DEG C of the benchmark heating-up time (- 35 DEG C), that is, as shown in table 1, ideal benchmark heating-up time RfTiTemp
=T1'- (ti-tc) (T1'-T2')/(ti-t (i+1))=T1'- ((- 40 DEG C)-tc) (T1'-T2')/(- 40 DEG C-(- 35
℃)).Under the reference ambient temperature Ws (- 40 DEG C), the current own temperature of the battery ideal benchmark when being -35 DEG C
RfTiTemp-40 DEG C of the heating-up time=fW-40 (- 35 DEG C)=T1- ((- 40 DEG C)-tc) (T1-T2)/(- 40 DEG C-(- 35 DEG C)),
Environmental coefficient when then the current own temperature of the battery is -35 DEG C is EnvtlF=RfTiTemp-20 DEG C/RfTiTemp-
40 DEG C=[T1'- ((- 40 DEG C)-tc) (T1'-T2')/(- 40 DEG C-(- 35 DEG C))]/[T1- ((- 40 DEG C)-tc) (T1-T2)/(-
40℃-(-35℃))]。
And then estimate ideal benchmark heating-up time RfTiTemp when the current own temperature of the battery is tc (- 35 DEG C)
=fW-40 (tc) * EnvtlF (tc), i.e. RfTiTemp=T1'- ((- 40 DEG C)-tc) (T1'-T2')/(- 40 DEG C-(- 35 DEG C)).
Table 1: default environment temperature, default key temperatures value sample table corresponding with the ideal benchmark heating-up time
As previously mentioned, the available hot coefficient ChrgModeF of charging modes and the load disappear in the step S2
At least one of heat dissipation coefficient tri- parameters of CnsF, however, the step S2 is available described in a kind of embodiment
The hot coefficient ChrgModeF of charging modes and the load consumption two parameters of hot coefficient CnsF, therefore, the step S2 is specifically wrapped
Following steps S21, S22 are included, therefore, accordingly, the stream of practical heating-up time evaluation method before the battery of the embodiment charges
Journey figure can be as shown in Figure 3.
Step S21: the hot coefficient of charging modes that charging gun output power influences the ideal benchmark heating-up time estimation
ChrgModeF。
Step S22: the hot coefficient CnsF of load consumption that heating-up time estimation influences before load consumption charges on battery.
Accordingly, it will be understood that the coefficients calculation block 120 that refers to may include for obtaining the charging modes heat
The hot coefficients calculation block 121 of charging modes of coefficient ChrgModeF (executing the step S21) and described negative for obtaining
Carry the hot coefficients calculation block 122 of load consumption of chargeable heat coefficient CnsF (executing the step S22).
Step S21, S22 is described in detail below, to illustrate how to obtain the hot coefficient of the charging modes
The ChrgModeF and hot coefficient CnsF of the load consumption.
It is appreciated that the battery is in an equipment, the equipment can be automobile, and the equipment can also include institute
State the heating device for heating up to the battery.
The step S21 for obtaining the hot coefficient ChrgMode of the charging modes may comprise steps of:
Obtain the heating power of the heating device to heat up to the battery；
Obtain the charging gun output power to heat up to the battery；
Calculate the heating power of the heating device of the battery heating and the ratio R 1 of the charging gun output power；
If the ratio R 1 is greater than 1, the hot coefficient ChrgModeF of charging modes is equal to the ratio；
If the ratio R 1 is less than or equal to 1, the hot coefficient ChrgModeF=1 of charging modes.
The step S22 for obtaining the hot coefficient CnsF of the load consumption may comprise steps of:
Obtain the heating power of the heating device to heat up to the battery；
Obtain the charging gun output power to heat up to the battery；
It obtains the equipment and removes other bearing powers other than the heating device；
The difference of the charging gun output power and other bearing powers is calculated,
If the difference be less than the heating power, the hot coefficient CnsF of load consumption be equal to the difference with it is described
The ratio of heating power；
If the difference is more than or equal to the heating power, the hot coefficient CnsF of load consumption is equal to 1
The hot coefficient ChrgModeF of the charging modes and described negative is calculated separately to step S21, S22 still with Fig. 3 below
Chargeable heat coefficient CnsF is carried to be illustrated:
Obtain the heating power of the heating device to heat up to the battery: setting the heating device power heated to battery needs
It asks as 5KW.
Obtain the charging gun output power to heat up to the battery:
Common charging modes include AC charging and DC charging, pass through detection AC charge port under AC charging mode
The pipette tips pull down resistor CC that charges calculates the net capability of charging gun, such as:
(1) pull down resistor 1.5K Ω, charging gun cable capacity 10A, net capability 2.2KW
(2) 680 Ω of pull down resistor, charging gun cable capacity 16A, net capability 3.52KW
(3) 220 Ω of pull down resistor, charging gun cable capacity 32A, net capability 7.04KW
(4) 100 Ω of pull down resistor, charging gun cable capacity 63A, net capability 11KW
For DC charging by detection direct-current charge port charging gun pull down resistor CC2, pull down resistor is 1K Ω, as inserts direct current
Charging gun charging obtains the charging gun output power to heat up to the battery, and net capability is >=20KW.
Calculate the heating power of the heating device of the battery heating and the ratio R 1 of the charging gun output power:
When using pull down resistor 1.5K Ω, charging gun cable capacity 10A, net capability is that the alternating current of 2.2KW fills
When electric rifle charges to automobile, the hot coefficients calculation block 122 of charging modes calculates heating power and the charging gun output power
Ratio R 1=5KW ÷ 2.2KW ≈ 2.27 > 1, if the ratio R 1 is greater than 1, described hot coefficient ChrgModeF of charging modes etc.
In the ratio, then ChrgModeF=2.27.
When being charged using charged with direct current rifle to automobile, the hot coefficients calculation block 122 of charging modes calculates heating power
It is described if the ratio R 1 is less than or equal to 1 with 20KW=0.25 < 1 ratio R 1=5KW ÷ of the charging gun output power
The hot coefficient ChrgModeF=1 of charging modes, then ChrgModeF=1.Set to battery heat heating device power demand as
5KW, using pull down resistor 1.5K Ω, charging gun cable capacity 10A, net capability is that the alternating current charging rifle of 2.2KW is given
It when automobile charges, obtains the equipment and removes other bearing powers other than the heating device, if current charging gun output
Power is completely used for heating device fever, then other bearing powers are 0KW, then the hot coefficients calculation block 123 of load consumption calculates
The difference of charging gun output power and other bearing powers is 2.2KW-0KW=2.2KW < 5KW, if the difference is less than institute
Heating power is stated, then the hot coefficient CnsF of the load consumption is equal to the ratio of the difference and the heating power, then CnsF=
(2.2KW-0KW) ÷ 5KW=0.44.
When being charged using charged with direct current rifle to automobile, if current charging gun output power is used for the function of other loads
Rate is 5KW, then the hot coefficients calculation block 123 of load consumption calculates the difference of charging gun output power and other bearing powers
For 20KW-5KW=15KW > 5KW, if the difference is more than or equal to the heating power, the hot coefficient CnsF of load consumption
Equal to 1, then CnsF=1.
It is appreciated that selection calculating can be carried out to reference coefficient in step s 2, so the practical heating-up time meter
Module 130 is calculated when executing step S3, a kind of embodiment is, according to the hot coefficient of the charging modes in the step 3
At least one of ChrgModeF and the hot coefficient CnsF of the load consumption and ideal benchmark heating-up time RfTiTemp
It estimates practical when being warming up to the battery charging low temperature threshold temperature Time0 by the current own temperature before battery charging
Heating-up time ChrgPHeatTi step includes:
The hot coefficient ChrgModeF of the charging modes of the ideal benchmark heating-up time RfTiTemp and acquisition and described
It is to be warming up to before the battery charges by the current own temperature that at least one of hot coefficient CnsF of load consumption, which is multiplied,
Practical heating-up time ChrgPHeatTi when the battery charging low temperature threshold temperature Time0.
Another kind change embodiment is, according to the hot coefficient ChrgModeF of the charging modes and described negative in the step 3
Before carrying at least one of chargeable heat coefficient CnsF, estimating the battery charging with the ideal benchmark heating-up time RfTiTemp
Practical heating-up time when being warming up to battery charging low temperature threshold temperature Time0 by the current own temperature
ChrgPHeatTi step can also include:
The hot coefficient ChrgModeF of the charging modes of the ideal benchmark heating-up time RfTiTemp and acquisition and described
It is to be warming up to the battery by the current own temperature before the battery charges that the hot coefficient CnsF of load consumption tri-, which are multiplied,
Practical heating-up time ChrgPHeatTi when charging low temperature threshold temperature Time0.
Embodiment: automobile
As shown in figure 4, Fig. 4 is a kind of structural schematic diagram for automobile that an embodiment of the present invention provides, the automobile 200
Including heating device 210, battery 220, processor 230 and output device 240, the processor is stored at least one instruction,
Battery charging estimation side of preceding heating-up time in above-mentioned any one embodiment is realized at least one described instruction when being executed by processor
The step of method, may include step S1, S2, the S3 of the preceding practical heating-up time evaluation method of battery charging of above-described embodiment, close
Be described in detail in the aforementioned embodiment in step S1, S2, S3, details are not described herein again, the output device 240 be used for
Family output processor calculates before the resulting battery charges the heating-up time after executing instruction, the battery 220 is new energy vapour
The power battery of vehicle and/or the battery are lithium-ion-power cell, and the heating device 210 is the dress heated to the battery
It sets.
For convenience of understanding, below by taking the battery is automobile power cell as an example and in conjunction with Fig. 4 and table 1, to above-mentioned each reality
The principle for applying the preceding practical heating-up time evaluation method of battery charging of example carries out exemplary brief description.
Before automobile factory, be stored in the processor 230 varying environment temperature W1 ..., under Wm, preset and close
Key temperature value t1 ..., the tn corresponding ideal benchmark heating-up time, storage form can be using form shown in table 1.
When automobile local environment temperature is -20 DEG C, the current own temperature of the battery fills battery when being -30 DEG C
Heating heating before electric, by reading storing data battery ideal benchmark heating-up time RfTiTemp=T2 ' at this time.
The heating device power demand to battery heating is set as 5KW, when use pull down resistor 1.5K Ω, charging gun cable
Capacity 10A, when the alternating current charging rifle that net capability is 2.2KW charges to automobile, the hot coefficients calculation block of charging modes
121 calculate the ratio R 1=5KW ÷ 2.2KW ≈ 2.27 > 1 of heating power and the charging gun output power, then ChrgModeF=
2.27。
If current charging gun output power is completely used for heating device fever, other bearing powers are 0KW, then load
It is 2.2KW-0KW=that chargeable heat coefficients calculation block 122, which calculates charging gun output power and the difference of other bearing powers,
2.2KW < 5KW, then CnsF=(2.2KW-0KW) ÷ 5KW=0.44.
Institute of the practical heating-up time computing module 130 according to ideal the benchmark heating-up time RfTiTemp and acquisition
State the hot coefficient ChrgModeF of charging modes and the hot coefficient CnsF of the load consumption tri- and be multiplied be before the batteries charging by
The current own temperature is warming up to practical heating-up time ChrgPHeatTi when the battery charging low temperature threshold temperature Time0
=T2 ' × 2.27 × 0.44.
Finally, output device 240 will calculate resulting practical heating-up time ChrgPHeatTi, to user to carry out output aobvious
Show.
Compared with the prior art, according to the battery of above-described embodiment charge before practical heating-up time evaluation method and system, estimate
It calculates management method and system, automobile, device and computer readable storage medium is to the heating before battery charging under low temperature environment
Time is estimated, the remaining time of not traditional estimation battery charging, may remind the user that locating for present battery
Charged state be heat temperature raising state, do not charge also, user avoided to cause to misread using uncharged battery in advance, this
It is more preferable that family car experience can be used under the north or winter low temperature environment in function, and the practical heating-up time estimation includes three
Kind mode: 1, ideal benchmark heating-up time RfTiTemp is as the practical heating-up time, 2, ideal benchmark heating-up time
RfTiTemp and environmental coefficient EnvtlF, the hot coefficient ChrgModeF of charging modes, at least one in the hot coefficient CnsF of load consumption
It is a to estimate the practical heating-up time, 3, ideal benchmark heating-up time RfTiTemp and environmental coefficient EnvtlF, charging side jointly
The hot coefficient ChrgModeF of formula, the hot coefficient CnsF of load consumption estimate the practical heating-up time jointly, so that the practical heating
The estimation of time is more accurate.
Further, according to an embodiment of the present, the estimation of the practical heating-up time includes environmental coefficient
The hot coefficient ChrgModeF of EnvtlF, charging modes, the hot coefficient CnsF of load consumption can more accurately estimate the heating-up time, and
Implementation technology is simultaneously uncomplicated.
Further, according to an embodiment of the present, the environmental coefficient EnvtlF is stored with percents,
The estimation for just making battery charge the preceding practical heating-up time can also be being imitated according to environment, geographic factor before in difference
It region can be more accurate.
In addition, according to an embodiment of the present, the practical heating-up time can be current in acquisition battery before battery charges
It is constantly modified after own temperature, improves user experience.
Embodiment: device and computer readable storage medium
As shown in figure 5, Fig. 5 is practical heating-up time evaluation method before a kind of battery provided in an embodiment of the present invention charges
The structural schematic diagram of device 30.For the device 30 for executing practical heating-up time evaluation method before the battery in above-described embodiment charges
Structural schematic diagram.Described device 30 can be computer installation comprising, but it is not limited to: at least one processor 31, at least
One processor 32.The memory 31 is for storing at least one program；When at least one described program is by described at least one
A processor 32 executes, so that at least one described processor 32 realizes heating-up time evaluation method before above-mentioned battery charging.It can
To understand, described device 30 can execute heating-up time evaluation method before battery provided by embodiment of the present invention method charges,
Any combination implementation steps of executable above method embodiment, have the corresponding function of this method and beneficial effect.
Described device 30 is that one kind can be automatic to carry out numerical value calculating and/or letter according to the instruction for being previously set or storing
The equipment of processing is ceased, hardware includes but is not limited to microprocessor, specific integrated circuit (Application Specific
Integrated Circuit, ASIC), programmable gate array (Field-Programmable Gate Array, FPGA), number
Word processing device (Digital Signal Processor, DSP), embedded device etc..Described device 30 may also include network and set
Standby and/or user equipment.Wherein, the network equipment includes but is not limited to single network server, multiple network server groups
At server group or be based on cloud computing (Cloud Computing) the cloud being made of a large amount of hosts or network server,
In, cloud computing is one kind of distributed computing, a super virtual computer consisting of a loosely coupled set of computers.
Described device 30, which may be, but not limited to, any one, to pass through keyboard, touch tablet or voice-operated device etc. with user
Mode carries out the electronic product of human-computer interaction, for example, tablet computer, smart phone, personal digital assistant (Personal
Digital Assistant, PDA), intellectual wearable device, picture pick-up device, the terminals such as monitoring device.
Network locating for described device 30 includes, but are not limited to internet, wide area network, Metropolitan Area Network (MAN), local area network, virtual private
Network (Virtual Private Network, VPN) etc..
Wherein, described device 30 can also include communication device, and the communication device can be wired sending port, can also
Wireless device is thought, for example including antenna assembly, for carrying out data communication with other equipment.
The memory 31 is for storing program code.The memory 31, which can be, does not have physical form in integrated circuit
The circuit with store function, such as RAM (Random-Access Memory, random access memory), FIFO (First In
First Out) etc..Alternatively, the memory is also possible to the memory with physical form, such as memory bar, TF card
(Trans-flash Card), smart media card (smart media card), safe digital card (secure digital
Card), storage facilities such as flash memory cards (flash card) etc..
The processor 32 may include one or more microprocessor, digital processing unit.The processor can call
The program code stored in the memory is to execute relevant function；For example, modules described in Fig. 2, unit, system
It is stored in the program code of memory, and as performed by the processor, to realize that a kind of battery charging preceding heating-up time is estimated
Calculation method.The processor is also known as central processing unit (CPU, Central Processing Unit), is one piece ultra-large
Integrated circuit is arithmetic core (Core) and control core (Control Unit).
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer instruction, the finger
It enables when executed by one or more processors, it can be achieved that battery provided by embodiment of the present invention method charges the preceding heating-up time
Evaluation method has the corresponding function of this method and beneficial effect.
The characteristic means of present invention mentioned above can be realized by integrated circuit, and control above-mentioned of realization
Practical heating-up time evaluation method before battery described in embodiment of anticipating charges.
Function achieved by practical heating-up time evaluation method can lead to before the battery described in any embodiment charges
It crosses integrated circuit of the invention to be installed in described device 30, described device 30 is made to play the charging of battery described in any embodiment
Function achieved by preceding practical heating-up time evaluation method, this will not be detailed here.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described because
According to the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, and related actions and modules is not necessarily of the invention
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the unit, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in various embodiments of the present invention can integrate in one processing unit, it can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units.It is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or
Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code
Medium.
Above disclosed is only one embodiment of the present invention, cannot limit the right of the present invention with this certainly
Range, therefore equivalent changes made in accordance with the claims of the present invention, are still within the scope of the present invention.
Claims (15)
- Practical heating-up time evaluation method before 1. a kind of battery charges, which comprises the steps of:Step 1: before obtaining battery charging, the battery is warming up at current environmental temperature Wc by current own temperature tc described Ideal benchmark heating-up time RfTiTemp when battery charging low temperature threshold temperature Time0；Step 2: obtaining the hot coefficient of charging modes that charging gun output power influences the ideal benchmark heating-up time estimation At least one in the hot coefficient CnsF of load consumption that heating-up time estimation influences before ChrgModeF and load consumption charge on battery It is a；Step 3: according at least one in the hot coefficient ChrgModeF of the charging modes and the hot coefficient CnsF of the load consumption A and described ideal benchmark heating-up time RfTiTemp estimates that the battery charging is preceding and is warming up to institute by the current own temperature State practical heating-up time ChrgPHeatTi when battery charging low temperature threshold temperature Time0.
- 2. practical heating-up time evaluation method before battery charges according to claim 1, characteristic are: step 1 packet It includes:Obtain the current own temperature tc of the battery；Obtain multiple and different default environment temperature W1 ..., under Wm the battery from least two different default keys Temperature value t1 ..., the own temperature of tn be warming up to measured time of the battery charging low temperature threshold temperature Time0 T1 ..., Tn, wherein n is natural number, and it is natural number that n, which is more than or equal to 2, m, and m is more than or equal to 2；If it is natural number that the current own temperature tc of the battery, which is equal to wherein default key temperatures value a ti, i, i is more than or equal to 1 And be less than or equal to n, then estimate that the ideal benchmark heating-up time RfTiTemp is the battery at default environment temperature Wj The corresponding measured time Ti of the default key temperatures value ti, wherein the default environment temperature Wj is equal to the current environment Temperature Wc.
- 3. practical heating-up time evaluation method before battery charges according to claim 2, characteristic are: if the battery Current own temperature tc is equal to a wherein default key temperatures value ti, if the wherein default pass under a default environment temperature Wv Key temperature value ti and its corresponding measured time Ti is benchmark time T0, and the default environment temperature Wj is equal to the current environment The default key temperatures value ti and its corresponding measured time Ti ' when temperature Wc are current time, the fiducial time T0 Current environment coefficient function EnvtlF=Ti '/Ti is defined with the current time, wherein the fiducial time T0, described current Own temperature tc and the corresponding current environment coefficient function EnvtlF of the current environmental temperature Wc are pre-stored within a storage In device, the step of the estimation ideal benchmark heating-up time RfTiTemp the following steps are included:Obtain the fiducial time T0；The current environment coefficient function EnvtlF is obtained according to the current own temperature tc and current environmental temperature Wc；Itself current temperature in the battery is estimated according to the fiducial time T0 and current environment coefficient function EnvtlF Spend ideal benchmark heating-up time the RfTiTemp=T0*EnvtlF=Ti*Ti '/Ti, i.e. RfTiTemp=Ti when tc.
- 4. practical heating-up time evaluation method before battery charges according to claim 2, characteristic are:If the current own temperature tc of the battery is greater than the default key temperatures value ti and is less than default key temperatures value t (i + 1) default key temperatures value ti, t (i+1) under a wherein default environment temperature Wv and its corresponding measured time, are then set The linear function that Ti, T (i+1) are constituted is benchmark function of time RfTiTempWv=fWv (tx), and wherein tx is oneself of the battery Body temperature variable, the default environment temperature Wj are equal to default key temperatures value ti, t when the current environmental temperature Wc (i+1) and its linear function of corresponding measured time Ti ', T (i+1) ' composition is current time function RfTiTempWj=fWj (tx), the fiducial time function RfTiTempWv=fWv (tx) and the current time function RfTiTempWj=fWj (tx) Define current environment coefficient function EnvtlF (tx)=fWj (tx)/fWv (tx).Fiducial time function Ti, the T (i+1), the current own temperature tc and the current environmental temperature Wc is corresponding works as Preceding environment coefficient function EnvtlF is pre-stored in a storage device, the estimation ideal benchmark heating-up time The step of RfTiTemp the following steps are included:Obtain fiducial time Ti, the T (i+1)；The corresponding current environment system of default key temperatures value ti, t (i+1) is obtained according to the current environmental temperature Wc Number function EnvtlF, wherein the corresponding electricity of default key temperatures value ti, t (i+1) under the current environmental temperature Wc Pond ideal benchmark heating-up time RfTiTemp is RfTiTempti=Ti*EnvtlF and RfTiTempt (i+1)=T (i+1) * EnvtlF；It is calculated according to default key temperatures value ti, t (i+1) the corresponding battery ideal benchmark heating-up time described default Default key temperatures value ti, t (i+1) and its corresponding actual measurement when environment temperature Wj is equal to the current environmental temperature Wc The linear function that time Ti*EnvtlF, T (i+1) * EnvtlF are constituted is current time function RfTiTempWj=fWj (tx).The function that own temperature according to battery ideal benchmark heating-up time RfTiTemp and the battery is constituted is RfTiTemp=fWj (tx) * EnvtlF, and then when estimating ideal benchmark heating when the current own temperature of the battery is tc Between RfTiTemp=fWv (tc) * EnvtlF (tc), i.e. RfTiTemp=fWv (tc) * fWj (tc)/fWv (tc)=fWj (tc).
- 5. practical heating-up time evaluation method before battery charges according to claim 1, characteristic are: step 2 packet Include the hot coefficient of charging modes for obtaining the charging gun output power and influencing on the ideal benchmark heating-up time estimation The step of ChrgModeF, and the acquisition charging gun output power is on the ideal benchmark heating-up time estimation influence The step of charging modes hot coefficient ChrgModeF includes:Obtain the heating power of the heating device to heat up to the battery；Obtain the charging gun output power to heat up to the battery；Calculate the heating power of the heating device of the battery heating and the ratio R 1 of the charging gun output power；If the ratio R 1 is greater than 1, the hot coefficient ChrgModeF of charging modes is equal to the ratio；If the ratio R 1 is less than or equal to 1, the hot coefficient ChrgModeF=1 of charging modes.
- 6. practical heating-up time evaluation method before battery charges according to claim 1, characteristic are: the battery is used for In one equipment, the equipment further includes the heating device for heating up to the battery, and the step 2 includes the load The step of consuming coefficient CnsF hot on the load consumption that heating-up time estimation influences before battery charging, and the load consumption The step of load consumption hot coefficient CnsF that heating-up time estimation influences before charging on the battery includes:Obtain the heating power of the heating device to heat up to the battery；Obtain the charging gun output power to heat up to the battery；It obtains the equipment and removes other bearing powers other than the heating device；Calculate the difference of the charging gun output power and other bearing powers；If the difference is less than the heating power, the hot coefficient CnsF of load consumption is equal to the difference and the fever The ratio of power；If the difference is more than or equal to the heating power, the hot coefficient CnsF of load consumption is equal to 1.
- 7. practical heating-up time evaluation method before battery charges according to claim 1, characteristic are: in the step 3 At least one of the hot coefficient ChrgModeF of charging modes and the hot coefficient CnsF of the load consumption and the ideal base Quasi- heating-up time RfTiTemp estimates that the battery charging is preceding and is warming up to the battery charging low temperature by the current own temperature Practical heating-up time ChrgPHeatTi step includes: when threshold temperature Time0Ideal benchmark heating-up time RfTiTemp and the hot coefficient ChrgModeF of the charging modes and load consumption heat It is to be warming up to the battery by the current own temperature before the battery charges to fill that at least one of coefficient CnsF, which is multiplied, Practical heating-up time ChrgPHeatTi when electric low temperature threshold temperature Time0.
- 8. practical heating-up time evaluation method before battery charges according to claim 1, characteristic are: in the step 3 According at least one of the hot coefficient ChrgModeF of the charging modes and the hot coefficient CnsF of the load consumption and the reason Think that benchmark heating-up time RfTiTemp estimates that the battery charging is preceding and is warming up to the battery charging by the current own temperature Practical heating-up time ChrgPHeatTi step includes: when low temperature threshold temperature Time0The hot coefficient ChrgModeF of charging modes and load consumption heat system described in ideal benchmark heating-up time RfTiTemp Number CnsF, which is multiplied before the as described battery charging, is warming up to the battery charging low temperature thresholding temperature by the current own temperature Spend practical heating-up time ChrgPHeatTi when Time0.
- Practical heating-up time estimating system before 9. a kind of battery charges, which is characterized in that before the battery charging when practical heating Between estimating system include ideal benchmark heating-up time computing module, with reference to coefficients calculation block, practical heating-up time computing module, Before the ideal benchmark heating-up time computing module is for acquisition or counting cell charging, the battery tc is in current environmental temperature Ideal benchmark heating-up time when battery charging low temperature threshold temperature Time0 is warming up to by current own temperature under Wc RfTiTemp, it is described that the ideal benchmark heating-up time is estimated for obtaining charging gun output power with reference to coefficients calculation block The load consumption that heating-up time estimation influences before the hot coefficient ChrgModeF of the charging modes of influence and load consumption charge on battery At least one of hot coefficient CnsF, the practical heating-up time computing module are used for according to the hot coefficient of the charging modes At least one of ChrgModeF and the hot coefficient CnsF of the load consumption and ideal benchmark heating-up time RfTiTemp It estimates practical when being warming up to battery charging low temperature threshold temperature Time0 by the current own temperature before the battery fills a little Heating-up time ChrgPHeatTi.
- Practical heating-up time estimating system before 10. battery charges according to claim 9, which is characterized in that the ideal base Quasi- heating-up time computing module includes obtaining module, environmental coefficient acquisition module and computing module, the base benchmark heating-up time The quasi- heating-up time obtains module and obtains mould for obtaining fiducial time Ti or fiducial time function fWv (tx), the environmental coefficient Block is used for foundation for obtaining current environment coefficient EnvtlF or current environment coefficient function EnvtlF (tx), the computing module The fiducial time Ti and current environment coefficient EnvtlF calculates ideal when the current own temperature of the battery is tc The benchmark heating-up time is Ti*EnvtlF or according to the fiducial time function fWv (tx) and described or current environment coefficient letter The ideal benchmark heating-up time that number EnvtlF (tx) calculates when the current own temperature of the battery is tc is RfTiTemp=fWv (tc)*EnvtlF(tc)。
- Practical heating-up time estimating system before 11. battery charges according to claim 9, which is characterized in that the referential Number computing module further includes the hot coefficients calculation block of charging modes, the hot coefficients calculation block of load consumption, the charging modes heat Coefficients calculation block is used to calculate the charging modes heat that charging gun output power influences the ideal benchmark heating-up time estimation Coefficient ChrgModeF, the hot coefficients calculation block of load consumption are consumed for computational load and are charged the preceding heating-up time to battery Estimate the hot coefficient CnsF of load consumption influenced.
- 12. a kind of automobile, it is characterised in that: the automobile includes processor, and the processor is stored at least one instruction, institute It states when at least one instruction is executed by processor and realizes the method as described in any one of claim 1-8 claim.
- 13. automobile according to claim 12, it is characterised in that: the automobile further includes battery, heating device and output dress It sets, the battery is the power battery of new-energy automobile and/or the battery is lithium-ion-power cell, and the heating device is To the device that the battery heats, the output device is resulting described for calculating after executing instruction to user's output processor Heating-up time before battery charges.
- 14. a kind of device comprising memory and processor, which is characterized in that the memory is stored at least one instruction, At least one described instruction realizes the side as described in any one of claim 1-8 claim when being executed by processor Method.
- 15. a kind of computer readable storage medium, it is characterised in that: the readable storage medium storing program for executing is stored at least one instruction, At least one described instruction realizes the side as described in any one of claim 1-8 claim when being executed by processor Method.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111175654A (en) * | 2020-01-13 | 2020-05-19 | 广州小鹏汽车科技有限公司 | Power battery charging remaining time calculation method and device, vehicle and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103427137A (en) * | 2013-08-20 | 2013-12-04 | 重庆长安汽车股份有限公司 | Low-temperature charge and heating system and method for power battery for all-electric vehicles |
| CN104393368A (en) * | 2014-09-25 | 2015-03-04 | 北京现代汽车有限公司 | Method and apparatus for determining remaining heating time for heating power battery to achieve rechargeable temperature |
| CN107290680A (en) * | 2017-07-07 | 2017-10-24 | 哈尔滨理工大学 | A kind of lithium battery heated current acquisition methods based on capacity attenuation and heat time |
| CN108162773A (en) * | 2017-11-27 | 2018-06-15 | 深圳国氢新能源科技有限公司 | Temprature control method and device |
| CN108344946A (en) * | 2017-01-22 | 2018-07-31 | 中国科学院空间应用工程与技术中心 | Battery-heating weight testing method and battery-heating amount test device |
| EP3376587A1 (en) * | 2017-03-17 | 2018-09-19 | Kabushiki Kaisha Toshiba | Temperature management device |
| CN109270465A (en) * | 2018-11-01 | 2019-01-25 | 桑顿新能源科技有限公司 | A kind of charging time evaluation method considering temperature rise |
| CN109450043A (en) * | 2018-12-19 | 2019-03-08 | 上海斡嘉电源科技有限公司 | A kind of battery charger containing heating system |
-
2019
- 2019-05-22 CN CN201910429169.1A patent/CN110146819B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103427137A (en) * | 2013-08-20 | 2013-12-04 | 重庆长安汽车股份有限公司 | Low-temperature charge and heating system and method for power battery for all-electric vehicles |
| CN104393368A (en) * | 2014-09-25 | 2015-03-04 | 北京现代汽车有限公司 | Method and apparatus for determining remaining heating time for heating power battery to achieve rechargeable temperature |
| CN108344946A (en) * | 2017-01-22 | 2018-07-31 | 中国科学院空间应用工程与技术中心 | Battery-heating weight testing method and battery-heating amount test device |
| EP3376587A1 (en) * | 2017-03-17 | 2018-09-19 | Kabushiki Kaisha Toshiba | Temperature management device |
| CN107290680A (en) * | 2017-07-07 | 2017-10-24 | 哈尔滨理工大学 | A kind of lithium battery heated current acquisition methods based on capacity attenuation and heat time |
| CN108162773A (en) * | 2017-11-27 | 2018-06-15 | 深圳国氢新能源科技有限公司 | Temprature control method and device |
| CN109270465A (en) * | 2018-11-01 | 2019-01-25 | 桑顿新能源科技有限公司 | A kind of charging time evaluation method considering temperature rise |
| CN109450043A (en) * | 2018-12-19 | 2019-03-08 | 上海斡嘉电源科技有限公司 | A kind of battery charger containing heating system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111175654A (en) * | 2020-01-13 | 2020-05-19 | 广州小鹏汽车科技有限公司 | Power battery charging remaining time calculation method and device, vehicle and storage medium |
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