CN108808781A - Electric vehicle reservation charging method and apparatus based on big data - Google Patents
Electric vehicle reservation charging method and apparatus based on big data Download PDFInfo
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- CN108808781A CN108808781A CN201810654633.2A CN201810654633A CN108808781A CN 108808781 A CN108808781 A CN 108808781A CN 201810654633 A CN201810654633 A CN 201810654633A CN 108808781 A CN108808781 A CN 108808781A
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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
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/0071—Regulation of charging or discharging current or voltage with a programmable schedule
Abstract
The electric vehicle reservation charging method and apparatus based on big data that the present invention relates to a kind of, the method includes：The period is temporally divided, and the period is divided into multiple periods；Electricity consumption statistics is carried out to the history charge data in multiple periods, obtains the electricity consumption of each period；Reservation charging is carried out according to section of preferential charging time and the electricity consumption of each period.The present invention, which can be that user is customized, to be met user's trip requirements and can optimize the reservation charging strategy that battery uses, and is improved experience, is extended the service life of battery.
Description
Technical field
The present invention relates to electric vehicle charging technique fields more particularly to a kind of electric vehicle reservation based on big data to fill
Method for electrically and device.
Background technology
Step price is higher in the rush hour section electricity charge, and the electricity charge of low ebb period are relatively low, for electric vehicle car owner,
Select rational period charging that can save charging expense, thus reservation charging also proposes.Existing reservation charging mode is
More fixed reservation charging mode, i.e. car owner's reservation charging start time and charging end time, charging pile are pre- according to car owner
Time about charges.
But in existing reservation charging technology, user needs oneself to calculate required charge volume and charging time, comes
Carry out reservation charging, poor user experience；Or user preengage charged the battery for a long time for a long time, and battery is caused to be in full electric shape
State or power shortage state, damage the health of battery, to reduce the service life of battery.Therefore, how user's trip requirements to be based on
It is analyzed and predicted, meets user's trip requirements for user is customized and the reservation charging side that battery uses can be optimized
Method becomes technical problem urgently to be resolved hurrily.
Invention content
Technical problem to be solved by the present invention lies in provide a kind of electric vehicle reservation charging method based on big data
And device, can be that user is customized meets user's trip requirements and can optimize the reservation charging strategy that battery uses, and carries
Experience has been risen, the service life of battery is extended.
In order to solve the above-mentioned technical problem, according to an aspect of the present invention, a kind of electric vehicle based on big data is provided
Reservation charging method, including:
The period is temporally divided, and the period is divided into multiple periods；
Electricity consumption statistics is carried out to the history charge data in multiple periods, obtains the electricity consumption of each period；
Reservation charging is carried out according to section of preferential charging time and the electricity consumption of each period.
Further, described temporally to divide the period, and the period is divided into multiple periods and is included the following steps；
A cycle will be divided into each week, and every day in each week is divided into a period.
Further, the history charge data to multiple periods carries out electricity consumption statistics, obtains the use of each period
Electricity includes the following steps：
Obtain the history charge data in multiple periods；
Electricity consumption statistics is carried out to corresponding history charge data of each period respectively；
Using each highest electricity consumption of period probability of occurrence as the electricity consumption of the period.
Further, described that reservation charging is carried out according to section of preferential charging time and the electricity consumption of each period, including
Following steps：
According to the electricity consumption of each period, the duration that charges needed for the period is calculated；
It according to the charging duration, section of preferential charging time and plug in rifle moment and draws guns the moment, when calculating charging beginning
It carves；
Reservation charging is carried out according to the charging start time and charging duration.
Further, it according to the electricity consumption of each period, calculates charging duration needed for the period and includes the following steps：
If the electricity consumption of a period is Eq, the conversion factor between charge capacity and charging time is fet, battery protection electricity
Amount is Ep, then charge duration T needed for the periodeFor：
Further, it according to the charging duration, section of preferential charging time and the plug in rifle moment and draws guns the moment, calculates
Charging start time includes the following steps：
If preferential charging time Duan Weicong HsTo He, a length of H when preferentiall=He-Hs, it is T to plug in the rifle momentg, drawing guns is constantly
Tu, charging start time Ts,
After if the moment of drawing guns, section terminated in the preferential charging time：
If plugging in the rifle moment in section of preferential charging time, charge immediately after plugging in rifle, i.e. Ts=Tg；
If the duration that charges is more than preferential duration, charging start time is before section of preferential charging time, i.e. Ts=Hs-
(Te-Hl)；
If the duration that charges is less than or equal to preferential duration, charging start time is preferential charge period start time Hs；
If drawing guns the moment before the preferential charging time, section terminated：
If plugging in the rifle moment in section of preferential charging time, charge immediately after plugging in rifle, i.e. Ts=Tg；
If the period at preferential start time in charging time to moment of drawing guns more than or equal to charging duration, charges when starting
It is preferential charge period start time H to carves；
If the period at preferential start time in charging time to moment of drawing guns is less than charging duration, charging start time is
Ts=Hs-(Tu-Te)。
Further, the method further includes：If the stroke of user setting subsequent time period, according to row set by user
Cheng Jinhang charges.
According to a further aspect of the invention, a kind of electric vehicle reservation charging device based on big data is provided, including:
Division module is divided into multiple periods for temporally dividing the period, and by the period；
Electricity consumption statistical module carries out electricity consumption statistics for the history charge data to multiple periods, obtains each period
Electricity consumption；
Reservation charging module, for carrying out reservation charging according to section of preferential charging time and the electricity consumption of each period.
Further, the division module is additionally operable to that a cycle will be divided into each week, and will be each in each week
It is divided into a period.
Further, the electricity consumption statistical module includes：
Data capture unit, the history charge data for obtaining multiple periods；
Electricity consumption statistic unit, for carrying out electricity consumption statistics to corresponding history charge data of each period respectively；
Electricity consumption acquiring unit, for using each highest electricity consumption of period probability of occurrence as the electricity consumption of the period
Amount.
Further, the reservation charging module includes：
First computing unit calculates the duration that charges needed for the period for the electricity consumption according to each period；
Second computing unit, for according to the charging duration, section of preferential charging time and plug in rifle moment and the when of drawing guns
It carves, calculates charging start time；
Reservation charging unit, for carrying out reservation charging according to the charging start time and charging duration.
Further, if the electricity consumption of a period is Eq, the conversion factor between charge capacity and charging time is fet, electricity
It is E that electricity is protected in pondp, first computing unit is additionally operable to be calculated by the following formula charging duration T needed for the periode：
Further, if preferential charging time Duan Weicong HsTo He, a length of H when preferentiall=He-Hs, it is T to plug in the rifle momentg, pull out
The rifle moment is Tu, charging start time Ts,
After if the moment of drawing guns, section terminated in the preferential charging time, second computing unit is by by based on following steps
Calculation charging start time is Ts：
If plugging in the rifle moment in section of preferential charging time, charge immediately after plugging in rifle, i.e. Ts=Tg；
If the duration that charges is more than preferential duration, charging start time is before section of preferential charging time, i.e. Ts=Hs-
(Te-Hl)；
If the duration that charges is less than or equal to preferential duration, charging start time is preferential charge period start time Hs；
If drawing guns the moment before the preferential charging time, section terminated, second computing unit is by by based on following steps
Calculation charging start time is Ts：
If plugging in the rifle moment in section of preferential charging time, charge immediately after plugging in rifle, i.e. Ts=Tg；
If the period at preferential start time in charging time to moment of drawing guns more than or equal to charging duration, charges when starting
It is preferential charge period start time H to carves；
If the period at preferential start time in charging time to moment of drawing guns is less than charging duration, charging start time is
Ts=Hs-(Tu-Te)。
Further, described device further includes stroke setup module：Stroke for subsequent time period to be arranged, if starting row
Journey setup module, then stroke of the described device set by the stroke setup module charge.
According to another aspect of the invention, a kind of controller is provided comprising memory and processor, the memory storage
There is the step of computer program, described program can realize the method when being executed by the processor.
According to another aspect of the invention, a kind of computer readable storage medium is provided, it is described for storing computer program
The step of program realizes the method when by a computer or processor execution.
The present invention has clear advantage and advantageous effect compared with prior art.By above-mentioned technical proposal, the present invention
A kind of electric vehicle reservation charging method and apparatus based on big data can reach comparable technological progress and practicability, and have
There is the extensive utility value in industry, at least there are following advantages：
(1) the present invention is based on user's history charge datas is analyzed and predicted user's trip requirements, is user volume body
Customization meets the reservation charging scheme of user's trip requirements, and the user experience is improved.
(2) it uses present invention effectively prevents over-charging of battery or excessively, under the premise of ensureing just common vehicle, fully optimizes
Battery use, extends battery；
(3) present invention makes full use of preferential charging time section to carry out reservation charging, has saved the charging cost of user.
Above description is only the general introduction of technical solution of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, and in order to allow the above and other objects, features and advantages of the present invention can
It is clearer and more comprehensible, it is special below to lift preferred embodiment, and coordinate attached drawing, detailed description are as follows.
Description of the drawings
Fig. 1 provides the electric vehicle reservation charging method schematic diagram based on big data for one embodiment of the invention；
Fig. 2 is the electric vehicle reservation charging schematic device based on big data that one embodiment of the invention provides.
【Symbol description】
1：Division module 2：Electricity consumption statistical module
3：Reservation charging module
Specific implementation mode
It is of the invention to reach the technological means and effect that predetermined goal of the invention is taken further to illustrate, below in conjunction with
Attached drawing and preferred embodiment, to a kind of electric vehicle reservation charging method and apparatus based on big data proposed according to the present invention
Specific implementation mode and its effect, be described in detail as after.
The electric vehicle reservation charging method based on big data that an embodiment of the present invention provides a kind of, as shown in Figure 1, including
Following steps:
Step S1, the period is temporally divided, and the period is divided into multiple periods.
As an example, step S1 may include：A cycle will be divided into each week, i.e. Sunday Monday-is a week
Phase, and every day in each week is divided into a period, i.e., every day in Monday, Sunday Tuesday ... is one
A period.It should be noted that the dividing mode is only a kind of embodiment, implement during use can according to specific requirements,
User power utilization rule etc. is because usually dividing the corresponding period in period and each period, such as with every three days for a week
Phase, every day in each period are divided into a period.For another example since the electricity consumption time at weekend is relatively uncertain, also may be used
Weekend is skipped to divide, Friday Monday-is divided into a cycle, Monday, Friday Tuesday ... are respectively divided into a time
Section.
Company is needed to go to work based on each user's difference power demand, such as Monday, Tuesday to Thursday goes to see client, week
Five go to company to go to work, and Saturday needs the band whole family outgoing, and Sunday is in rest, can carry out big data based on each user behavior and divide
Analysis and prediction, personalized reservation charging strategy are specified for user, to promote the experience of user.
It should be noted that electric vehicle described in the embodiment of the present invention is not limited in electric vehicle, it is other carry out it is pre-
The vehicles about to charge are also applied for present invention, such as mixed electrical automobile etc..
Step S2, electricity consumption statistics is carried out to the history charge data in multiple periods, obtains the electricity consumption of each period.
Wherein, history charge data may include the schedule of user, charge history parameter, battery charge state (SOC),
Initial reservation charging time etc..History charge data can be obtained by high in the clouds or user is imported certainly by application program (APP)
Oneself stroke obtains history charge data.
As an example, step S2 may include following steps：
Step S21, the history charge data in multiple periods is obtained.
Step S22, electricity consumption statistics is carried out to corresponding history charge data of each period respectively.
As an example, SOC value at the end of being charged yesterday according to user and SOC value when starting to charge up today are true
Determine user to go on a journey today the electricity consumption used, it is assumed that SOC value is 90% when the previous day charges electricity, SOC when today starts to charge up
Be 50%, then can obtain active user this day the electricity for having used 40%SOC.It, can by statistical analysis multi-group data
To obtain the electricity consumption that the daily trip of user needs.Then according to electricity service condition daily in user one week, to carry out
Reservation charging.For example, the electricity consumption on user's Saturday and Sunday is substantially the electricity consumption of entire battery, the electricity consumption of Monday and Friday
For 50% battery capacity, and Tuesday to Thursday electricity consumption only has the battery capacity of 10%-25%, then charging pile can be automatically according to
Electricity consumption charges within second day, to meet the trip needs of user, can also consider the electricity consumption situation of third day wherein, to carry out
Reservation charging.Since present battery is all larger, general AC charging is difficult to charge in a whole night (in a low ebb voltage phase)
Full battery, therefore the SOC electricity for selecting enough user to use is very important.
Using electricity consumption as abscissa, the probability that electricity consumption occurs is for statistical analysis as ordinate, each period pair
Normal distribution is all presented in electricity consumption substantially.By taking Monday as an example, it is assumed that Monday user's stroke is relatively fixed, the electricity consumption under the trip
Probability it is higher, will appear the case where low batteries low probability such as being in of asking for leave once in a while, formula can be described as follows：
Wherein x is the electricity in a period, and f (x) is using the electricity in the period all analysis electricity consumption data
The probability of middle appearance, when x=u, user uses the maximum probability that electricity is u.
It should be noted that above-mentioned use normal distribution statistical legally constituted authority meter electricity consumption is only a kind of example, however it is not limited to this,
Such as that the other methods such as average value can also be used is for statistical analysis.
Step S23, using each highest electricity consumption of period probability of occurrence as the electricity consumption of the period.
It continues the example presented above, the electricity consumption value of the period is u.
Step S3, reservation charging is carried out according to the electricity consumption of section of preferential charging time and each period.
As an example, step S3 includes the following steps：
Step S31, according to the electricity consumption of each period, the duration that charges needed for the period is calculated；
If the electricity consumption of a period is Eq, the conversion factor between charge capacity and charging time is fet, battery protection electricity
Amount is Ep, then charge duration T needed for the periodeFor：
It should be noted that conversion factor fetFor known quantity, specific value is according to the parameter acquiring of charging pile used.Battery
Protection electricity is EpIt for preset fixed value, can specifically be set according to battery parameter, battery protection electricity EpFor surplus,
The concept of tolerance, by the way that E is arrangedpReserve certain electricity space for battery, prevent the complete power shortage of battery, ensure battery it is shallow fill it is shallow
It puts.It is E to show that user's period need to use electricity according to history charge dataq, when reservation charging, it is for battery charge
Ep+Eq, remaining mileage is reserved for user, when avoiding the occurrence of emergency case, the complete power shortage of battery damages battery health.Therefore, lead to
It is E to cross battery protection electricitypThe service life of battery can be extended with effective protection battery.
Step S32, it according to the charging duration, section of preferential charging time and plug in rifle moment and draws guns the moment, calculating is filled
Electric start time；
As an example, if the preferential charging time Duan Weicong H in city where usersTo He, a length of H when preferentiall=
He-Hs, the plug in rifle moment of charging gun is Tg, it is T constantly to draw gunsu, it should be noted that it is T to plug in the rifle momentgIt is T constantly with drawing gunsu
It is known quantity, it is T to plug in the rifle momentgAt the time of charging gun is inserted into charging equipment by corresponding user, it is T constantly to draw gunsuIt can be according to going through
The analysis of history charge data obtains.Charging start time is Ts.User's time of using cars may be after preferential electricity price terminates, it is also possible to
Before preferential electricity price terminates, user can correspond to the time of drawing guns the time of using cars, when calculating charging beginning in two kinds of situation below
Carve Ts：
After situation one, moment of drawing guns, section terminated in the preferential charging time：
(1) rifle moment T is insertedgIn section H of preferential charging timesTo HeIt is interior, then it charges immediately after plugging in rifle, charging start time is
TgThat is Ts=Tg。
(2) charging duration TeMore than preferential duration Hl, then charging start time TsIt need to be before section of preferential charging time, i.e.,
Ts=Hs-(Te-Hl)。
(3) charging duration TeLess than or equal to preferential duration Hl, then charging start time TsFor preferential charge period start time
Hs, i.e. Ts=Hs。
The charging start time T of situation onesCalculation formula is summarized as follows：
Situation two draws guns the moment before the preferential charging time, section terminated：
(1) rifle moment T is insertedgIn section H of preferential charging timesTo HeIt is interior, then it charges immediately after plugging in rifle, charging start time is
TgThat is Ts=Tg。
(2) preferential start time in charging time HsTo the moment T that draws gunsuPeriod Tu-HsMore than or equal to charging duration Te, then
Charging start time TgFor preferential charge period start time Hs, i.e. Ts=Hs。
(3) the period T at preferential start time in charging time to moment of drawing gunsu-HsLess than charging duration Te, then charge and open
Beginning the moment need to be before section of preferential charging time, i.e. Ts=Hs-(Tu-Te)。
The charging start time T of situation twosCalculation formula is summarized as follows：
Step S33, according to the charging start time TsWith charging duration TeCarry out reservation charging.
If the method further includes the stroke of step S0, user setting subsequent time period, according to stroke set by user
It charges.The routing charging priority that i.e. user sets temporarily is more than above-mentioned reservation charging priority, for example, user is logical
Chang Zhouyi goes to company to go to work, and this Monday from habitually in the past it is different, be changed to go out to visit with client, need to consume the electricity more more than previous Monday
Amount or Monday ask for leave and are in, and do not go to work, consumption electricity ratio previous Monday less electricity, then can be according to traveled distance need
It wants, the manual setting charging time.
In addition, when the method also will account for the charge and discharge SOC ranges and initial setting reservation charging of battery life needs
Between section be included, and consider battery life need charge and discharge SOC ranges priority be higher than initial setting reservation charging when
Between section, i.e., do not manually set stroke in user, and in the case of the reservation charging without carrying out step S1- steps S3, can basis
Initial subscription time section charges, but can be carried out premised on not to over-charging of battery.The method of the invention fully covers
A variety of situations of electric vehicle charging, and for the charging strategy of different situations progress adaptability, the charging experience of user is improved,
And it ensure that the health status of battery.
Said program is further described below by way of a specific embodiment：
Assuming that the battery total electricity of the electric vehicle of user is 80KWH, the maximum output of used charging pile is 7KW,
The low ebb of local step price be at night 10 points to 6 points of morning next day.It is 11.5 small that so SOC from 0 is charged to 100% needs
When.It is 40KWH that user's Monday and Friday, which need electricity, more than or equal to battery capacity, i.e., at least Saturday and Sunday demand are
80KWH, and Tuesday to Thursday only needs 20KWH daily.
Assuming that charging pile SOC before the week-night starts to charge up is 10%, then since Monday needs 40KWH for SOC's
50%, then at least need to fill 40% a whole night, but in view of battery want it is shallow fill it is shallow put, at least need to be charged to 60%, then extremely
6 hours are needed less, then 10 points start to charge up and can meet the requirements, since the time of step price is 8 hours, user can be with
It is set as charging 8 hours, then Monday vehicle electricity is 64KWH, the use of user can be met.
Assuming that all electricity 64KWH for charging electricity a whole night, after Monday user has used 40KWH electricity, also surplus 24KWH considers
It is seldom to use in second day, considered based on battery life, 80% electricity is full of for user, then only user fills
The electricity of 40KWH.Since 10 points at night, terminate to charge before 4:00 AM.
Tuesday to Wednesday evening charge condition is similar to all a whole nights, and details are not described herein.
Thursday is at night, it is contemplated that Friday user needs to use 40KWH, while it is also possible to consider big electricity consumption is also needed to Saturday
It measures, if Friday needs to be full of battery at night, it is contemplated that entire step price low ebb is at most only capable of in 8 hours full of 56KWH
Electricity, it is contemplated that later stage charging relatively slow and battery balanced needs time, may be only capable of filling the electricity of 50KWH, then before Friday charging
The electricity of holding 30KWH is at least needed, otherwise Friday cannot be at night that user is full of battery in the low ebb time, Zhou Wuyi days
Electricity consumption is 40KWH, then evening Thursday charge volume at least enables automobile to keep 70KWH.
Until Friday is full of at night.
After Saturday night has used one day due to the big electricity of user, battery capacity remains little, it is contemplated that Sunday also has
Big electricity uses, and because full of needing 10 hours or so, it is clear that the electricity price low ebb time can not be full of, it is assumed that user
It needs to go out for 8 points on Sunday, charging pile needs to be full of battery before 8 points, and 7 points of setting is full of, then needing in 7 points of Saturday night
Start to fill a little, ensures that the step price rationally utilized in turn ensures the normal use of user.
It should be noted that charging strategy and data described in above-described embodiment are used to illustrate this programme, and it is unlimited
, can be according to user's specific requirements in actual use in this, user is specifically accustomed to and the parameter of batteries of electric automobile, uses and fills
Charge parameter of electric stake etc. is to being adaptively adjusted.
The method of the embodiment of the present invention is analyzed and predicted user's trip requirements based on user's history charge data,
For the customized reservation charging scheme for meeting user's trip requirements of user, the user experience is improved.In charging process effectively
It avoids over-charging of battery or excessively uses, under the premise of ensureing just common vehicle, fully optimize battery use, extend battery
Service life；In addition, the embodiment of the present invention makes full use of preferential charging time section to carry out reservation charging, the charging of user has been saved
Cost.
The embodiment of the present invention also provides a kind of electric vehicle reservation charging device based on big data, as shown in Fig. 2, including
Division module 1, electricity consumption statistical module 2 and reservation charging module 3.Wherein, division module 1 is used to temporally divide the period, and will
The period is divided into multiple periods；Electricity consumption statistical module 2 is used to carry out electricity consumption system to the history charge data in multiple periods
Meter, obtains the electricity consumption of each period；Reservation charging module 3 is used for the use according to section and each period of preferential charging time
Electricity carries out reservation charging.
As an example, division module 1 is additionally operable to that a cycle will be divided into each week, i.e. Sunday Monday-is one
Period, and every day in each week is divided into a period, i.e. every day in Monday, Sunday Tuesday ... is
One period.
Company is needed to go to work based on each user's difference power demand, such as Monday, Tuesday to Thursday goes to see client, week
Five go to company to go to work, and Saturday needs the band whole family outgoing, and Sunday is in rest, can carry out big data based on each user behavior and divide
Analysis and prediction, personalized reservation charging strategy are specified for user, to promote the experience of user.
It should be noted that electric vehicle described in the embodiment of the present invention is not limited in electric vehicle, it is other carry out it is pre-
The vehicles about to charge are also applied for present invention, such as mixed electrical automobile etc..
As an example, electricity consumption statistical module 2 may include that data capture unit, electricity consumption statistic unit and electricity consumption obtain
Unit.Wherein, data capture unit, the history charge data for obtaining multiple periods；History charge data may include user
Schedule, charge history parameter, battery charge state (SOC), initial reservation charging time etc..History charge data can lead to
It crosses high in the clouds acquisition or user imports the stroke of oneself by application program (APP), obtain history charge data.
Electricity consumption statistic unit to corresponding history charge data of each period for carrying out electricity consumption statistics respectively；As one
Kind of example, SOC value at the end of being charged yesterday according to user and SOC value when starting to charge up today determine that user goes on a journey today
The electricity consumption used, it is assumed that SOC value is 90% when the previous day charges electricity, and SOC when today starts to charge up is 50%, then can obtain
The electricity that has used 40%SOC of the active user in this day.By statistical analysis multi-group data, it is daily that user can be obtained
The electricity consumption that trip needs.Then according to electricity service condition daily in user one week, to carry out reservation charging.For example, with
The electricity consumption on family Saturday and Sunday is substantially the electricity consumption of entire battery, and the electricity consumption of Monday and Friday are 50% battery capacity,
And Tuesday to Thursday electricity consumption only has the battery capacity of 10%-25%, then charging pile can automatically according to second day electricity consumption into
Row charging can also consider the electricity consumption situation of third day wherein, to carry out reservation charging to meet the trip needs of user.Due to
Present battery is all larger, and general AC charging is difficult the full battery that charges in a whole night (in a low ebb voltage phase), therefore is selected
Selecting the SOC electricity that enough user uses is very important.
Using electricity consumption as abscissa, the probability that electricity consumption occurs is for statistical analysis as ordinate, each period pair
Normal distribution is all presented in electricity consumption substantially.By taking Monday as an example, it is assumed that Monday user's stroke is relatively fixed, the electricity consumption under the trip
Probability it is higher, will appear the case where low batteries low probability such as being in of asking for leave once in a while, formula can be described as follows：
Wherein x is the electricity in a period, and f (x) is using the electricity in the period all analysis electricity consumption data
The probability of middle appearance, when x=u, user uses the maximum probability that electricity is u.
It should be noted that above-mentioned use normal distribution statistical legally constituted authority meter electricity consumption is only a kind of example, however it is not limited to this,
Such as that the other methods such as average value can also be used is for statistical analysis.
Electricity consumption acquiring unit, for using each highest electricity consumption of period probability of occurrence as the electricity consumption of the period
Amount, continues the example presented above, and the electricity consumption value of the period is u.
As an example, reservation charging module 3 includes the first computing unit, the second computing unit and reservation charging list
Member.First computing unit is used for the electricity consumption according to each period, calculates the duration that charges needed for the period；If a period
Electricity consumption is Eq, the conversion factor between charge capacity and charging time is fet, battery protection electricity is Ep, then needed for the period
Charge duration TeFor：
It should be noted that conversion factor fetFor known quantity, specific value is according to the parameter acquiring of charging pile used.Battery
Protection electricity is EpIt for preset fixed value, can specifically be set according to battery parameter, battery protection electricity is that battery is pre-
Certain electricity space is stayed, the complete power shortage of battery is prevented, ensures that battery is shallow and fills shallow put.Show that user should according to history charge data
It is E that period, which need to use electricity,q, be battery charge it is E when reservation chargingp+Eq, remaining mileage is reserved for user, is avoided
When there is emergency case, the complete power shortage of battery damages battery health.Therefore, it is E by battery protection electricitypIt can effectively protect
Battery is protected, the service life of battery is extended.
When second computing unit is used for according to the charging duration, section of preferential charging time and plug in rifle moment and draws guns
It carves, calculates charging start time；As an example, if the preferential charging time Duan Weicong H in city where usersTo He, preferential
Shi Changwei Hl=He-Hs, the plug in rifle moment of charging gun is Tg, it is T constantly to draw gunsu, charging start time Ts.User's time of using cars
It may be after preferential electricity price terminates, it is also possible to before preferential electricity price terminates, user can correspond to the time of drawing guns time of using cars,
Second computing unit calculates charging start time T in two kinds of situations：
After situation one, moment of drawing guns, section terminated in the preferential charging time：
(1) rifle moment T is insertedgIn section H of preferential charging timesTo HeIt is interior, then it charges immediately after plugging in rifle, charging start time is
TgThat is Ts=Tg。
(2) charging duration TeMore than preferential duration Hl, then charging start time TsIt need to be before section of preferential charging time, i.e.,
Ts=Hs-(Te-Hl)。
(3) charging duration TeLess than or equal to preferential duration Hl, then charging start time TsFor preferential charge period start time
Hs, i.e. Ts=Hs。
The charging start time T of situation onesCalculation formula is summarized as follows：
Situation two draws guns the moment before the preferential charging time, section terminated：
(1) rifle moment T is insertedgIn section H of preferential charging timesTo HeIt is interior, then it charges immediately after plugging in rifle, charging start time is
TgThat is Ts=Tg。
(2) preferential start time in charging time HsTo the moment T that draws gunsuPeriod Tu-HsMore than or equal to charging duration Te, then
Charging start time TgFor preferential charge period start time Hs, i.e. Ts=Hs。
(3) the period T at preferential start time in charging time to moment of drawing gunsu-HsLess than charging duration Te, then charge and open
Beginning the moment need to be before section of preferential charging time, i.e. Ts=Hs-(Tu-Te)。
The charging start time T of situation twosCalculation formula is summarized as follows：
Reservation charging unit, for carrying out reservation charging according to the charging start time and charging duration.
Described device further includes stroke setup module：Stroke for subsequent time period to be arranged, if starting stroke is arranged mould
Block, then stroke of the described device set by the stroke setup module charge.The stroke that even user sets temporarily
Arrange charging priority to be more than above-mentioned reservation charging priority, for example, user goes to company to go to work usual Monday, and this Monday with it is past
Chang Butong is changed to go out to visit with client, needs to consume the electricity more more than previous Monday or Monday asks for leave and is in, do not go to work,
Electricity ratio previous Monday less electricity is consumed, then can be arranged by stroke setup module when charging according to traveled distance needs
Between.
In addition, when the charge and discharge SOC ranges and initial setting reservation charging of battery life needs can be also arranged in described device
Between section, and battery life need charge and discharge SOC ranges priority be higher than the initial setting reservation charging period, i.e., in user
Be set not over stroke setup module, and in the case of no progress reservation charging the charging time, it can be according to initial subscription time
Section charges, but can be carried out premised on not to over-charging of battery.Device of the present invention fully covers electric vehicle charging
A variety of situations, and for the charging strategy of different situations execution adaptability, the charging experience of user is improved, and ensure that battery
Health status.
Described device of the embodiment of the present invention is analyzed and predicted user's trip requirements based on user's history charge data,
For the customized reservation charging scheme for meeting user's trip requirements of user, the user experience is improved.In charging process effectively
It avoids over-charging of battery or excessively uses, under the premise of ensureing just common vehicle, fully optimize battery use, extend battery
Service life；In addition, the embodiment of the present invention makes full use of preferential charging time section to carry out reservation charging, the charging of user has been saved
Cost.
The embodiment of the present invention also provides a kind of controller comprising memory and processor, the memory are stored with meter
Calculation machine program, described program can realize the electric vehicle reservation charging method based on big data when being executed by the processor
The step of.
The embodiment of the present invention also provides a kind of computer readable storage medium, for storing computer program, described program
The step of electric vehicle reservation charging method based on big data being realized when by a computer or processor execution.
The above described is only a preferred embodiment of the present invention, be not intended to limit the present invention in any form, though
So the present invention has been disclosed as a preferred embodiment, and however, it is not intended to limit the invention, any technology people for being familiar with this profession
Member, without departing from the scope of the present invention, when the technology contents using the disclosure above make a little change or modification
For the equivalent embodiment of equivalent variations, as long as being the content without departing from technical solution of the present invention, according to the technical essence of the invention
To any simple modification, equivalent change and modification made by above example, in the range of still falling within technical solution of the present invention.
Claims (16)
1. a kind of electric vehicle reservation charging method based on big data, it is characterised in that：Including:
The period is temporally divided, and the period is divided into multiple periods；
Electricity consumption statistics is carried out to the history charge data in multiple periods, obtains the electricity consumption of each period；
Reservation charging is carried out according to section of preferential charging time and the electricity consumption of each period.
2. the electric vehicle reservation charging method according to claim 1 based on big data, it is characterised in that：
It is described temporally to divide the period, and the period is divided into multiple periods and is included the following steps；
A cycle will be divided into each week, and every day in each week is divided into a period.
3. the electric vehicle reservation charging method according to claim 1 based on big data, it is characterised in that：
The history charge data to multiple periods carries out electricity consumption statistics, and the electricity consumption for obtaining each period includes following step
Suddenly：
Obtain the history charge data in multiple periods；
Electricity consumption statistics is carried out to corresponding history charge data of each period respectively；
Using each highest electricity consumption of period probability of occurrence as the electricity consumption of the period.
4. the electric vehicle reservation charging method based on big data according to any one of claim 1-3, feature
It is：
It is described that reservation charging is carried out according to section of preferential charging time and the electricity consumption of each period, include the following steps：
According to the electricity consumption of each period, the duration that charges needed for the period is calculated；
It according to the charging duration, section of preferential charging time and plug in rifle moment and draws guns the moment, calculates charging start time；
Reservation charging is carried out according to the charging start time and charging duration.
5. the electric vehicle reservation charging method according to claim 4 based on big data, it is characterised in that：
According to the electricity consumption of each period, calculates charging duration needed for the period and include the following steps：
If the electricity consumption of a period is Eq, the conversion factor between charge capacity and charging time is fet, battery protection electricity is
Ep, then charge duration T needed for the periodeFor：
6. the electric vehicle reservation charging method according to claim 4 based on big data, it is characterised in that：
It according to the charging duration, section of preferential charging time and plug in rifle moment and draws guns the moment, calculates charging start time packet
Include following steps：
If preferential charging time Duan Weicong HsTo He, a length of H when preferentiall=He-Hs, it is T to plug in the rifle momentg, it is T constantly to draw gunsu, fill
Electric start time is Ts,
After if the moment of drawing guns, section terminated in the preferential charging time：
If plugging in the rifle moment in section of preferential charging time, charge immediately after plugging in rifle, i.e. Ts=Tg；
If the duration that charges is more than preferential duration, charging start time is before section of preferential charging time, i.e. Ts=Hs-(Te-Hl)；
If the duration that charges is less than or equal to preferential duration, charging start time is preferential charge period start time Hs；
If drawing guns the moment before the preferential charging time, section terminated：
If plugging in the rifle moment in section of preferential charging time, charge immediately after plugging in rifle, i.e. Ts=Tg；
If the period at preferential start time in charging time to moment of drawing guns is more than or equal to charging duration, charging start time is
Preferential charge period start time Hs；
If the period at preferential start time in charging time to moment of drawing guns is less than charging duration, charging start time Ts=
Hs-(Tu-Te)。
7. the electric vehicle reservation charging method according to claim 1 based on big data, it is characterised in that：
The method further includes：If the stroke of user setting subsequent time period charges according to stroke set by user.
8. a kind of electric vehicle reservation charging device based on big data, it is characterised in that：Including:
Division module is divided into multiple periods for temporally dividing the period, and by the period；
Electricity consumption statistical module carries out electricity consumption statistics for the history charge data to multiple periods, obtains the use of each period
Electricity；
Reservation charging module, for carrying out reservation charging according to section of preferential charging time and the electricity consumption of each period.
9. the electric vehicle reservation charging device according to claim 8 based on big data, it is characterised in that：
The division module is additionally operable to that a cycle will be divided into each week, and every day in each week is divided into an institute
State the period.
10. the electric vehicle reservation charging device according to claim 8 based on big data, it is characterised in that：
The electricity consumption statistical module includes：
Data capture unit, the history charge data for obtaining multiple periods；
Electricity consumption statistic unit, for carrying out electricity consumption statistics to corresponding history charge data of each period respectively；
Electricity consumption acquiring unit, for using each highest electricity consumption of period probability of occurrence as the electricity consumption of the period.
11. the electric vehicle reservation charging device based on big data according to any one of claim 8-10, special
Sign is：
The reservation charging module includes：
First computing unit calculates the duration that charges needed for the period for the electricity consumption according to each period；
Second computing unit is used for according to the charging duration, section of preferential charging time and plug in rifle moment and draws guns the moment,
Calculate charging start time；
Reservation charging unit, for carrying out reservation charging according to the charging start time and charging duration.
12. the electric vehicle reservation charging device according to claim 11 based on big data, it is characterised in that：
If the electricity consumption of a period is Eq, the conversion factor between charge capacity and charging time is fet, battery protection electricity is
Ep, first computing unit is additionally operable to be calculated by the following formula charging duration T needed for the periode：
13. the electric vehicle reservation charging device according to claim 11 based on big data, it is characterised in that：
If preferential charging time Duan Weicong HsTo He, a length of H when preferentiall=He-Hs, it is T to plug in the rifle momentg, it is T constantly to draw gunsu, fill
Electric start time is Ts,
After if the moment of drawing guns, section terminated in the preferential charging time, second computing unit is used to fill by following steps calculating
Electric start time is Ts：
If plugging in the rifle moment in section of preferential charging time, charge immediately after plugging in rifle, i.e. Ts=Tg；
If the duration that charges is more than preferential duration, charging start time is before section of preferential charging time, i.e. Ts=Hs-(Te-Hl)；
If the duration that charges is less than or equal to preferential duration, charging start time is preferential charge period start time Hs；
If drawing guns the moment before the preferential charging time, section terminated, second computing unit is used to fill by following steps calculating
Electric start time is Ts：
If plugging in the rifle moment in section of preferential charging time, charge immediately after plugging in rifle, i.e. Ts=Tg；
If the period at preferential start time in charging time to moment of drawing guns is more than or equal to charging duration, charging start time is
Preferential charge period start time Hs；
If the period at preferential start time in charging time to moment of drawing guns is less than charging duration, charging start time Ts=
Hs-(Tu-Te)。
14. the electric vehicle reservation charging device according to claim 8 based on big data, it is characterised in that：
Described device further includes stroke setup module：Stroke for subsequent time period to be arranged, if starting stroke setup module,
Stroke of the described device set by the stroke setup module charges.
15. a kind of controller comprising memory and processor, it is characterised in that：The memory is stored with computer program,
Described program can realize the method described in any one of claim 1 to 7 claim when being executed by the processor
The step of.
16. a kind of computer readable storage medium, for storing computer program, it is characterised in that：Described program is by a meter
The step of calculation machine or processor realize the method as described in any one of claim 1 to 7 claim when executing.
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