CN108215872A - Charging method, device, storage medium and the processor of electric vehicle - Google Patents
Charging method, device, storage medium and the processor of electric vehicle Download PDFInfo
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- CN108215872A CN108215872A CN201711252400.1A CN201711252400A CN108215872A CN 108215872 A CN108215872 A CN 108215872A CN 201711252400 A CN201711252400 A CN 201711252400A CN 108215872 A CN108215872 A CN 108215872A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/547—Voltage
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/549—Current
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/14—Plug-in electric vehicles
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a kind of charging method of electric vehicle, device, storage medium and processors.This method includes：The charge requirement model of electric vehicle is obtained, wherein, charge requirement model is used to predict the charging load that electric vehicle is needed in charging；When determining that electric vehicle is in object time charging according to charge requirement model, the target charging load of intermittent energy source offer is needed；Within the object time, the target charging load provided by intermittent energy source charges to electric vehicle.By the present invention, achieve the effect that reduce impact of the electric vehicle in charging to power grid.
Description
Technical field
The present invention relates to vehicular field, in particular to a kind of charging method of electric vehicle, device, storage medium
And processor.
Background technology
At present, since the randomness and uncertainty of the power producing characteristics of intermittent energy source are larger, and electric vehicle charges
There is its particular law, whether the charge requirement and intermittent energy source power producing characteristics of electric vehicle are coordinated, and decide the electronic vapour in region
Vehicle and the ability of intermittent energy source complementation consumption.
It contributes in electric automobile load and intermittent energy source very relevant, when intermittent energy source power generation is more than charging
During workload demand, intermittent energy source, which is contributed, is more than electric vehicle charging load, then electric vehicle charging can be all by interval performance
Source power generation provides, and, since intermittent energy source power generation is more, is filled simultaneously for neighbouring traditional load electricity consumption by electric vehicle
Electricity can not dissolve completely, then partly still need to access power distribution network, Supply Security and power supply quality to power distribution network still have certain journey
Influence on degree；When intermittent energy source, which is contributed, is more than electric vehicle charging load, then electric vehicle charging can be all by interval
The power generation of performance source provides, and, since intermittent energy source power generation is more, passes through electronic vapour simultaneously for neighbouring traditional load electricity consumption
Vehicle charging can not dissolve completely, then partly still need to access power distribution network, still have one to the Supply Security and power supply quality of power distribution network
Determine the influence in degree.
In the case where electric automobile load and intermittent energy source output have certain correlation, when intermittent energy source generates electricity
During more than charging workload demand, only in the case where the two characteristic is consistent, it can achieve the effect that complementary consumption, and this phase
Between, if the extra electricity of intermittent energy source, other traditional loads can be supplied by power distribution network, if without extra electricity or its power generation
Amount not enough supply electric vehicle charging, then electric vehicle need to be by grid charging, and the generated energy of other time intermittent energy source need to
It is conveyed and is distributed by power distribution network, and electric vehicle charging also needs to charge by power distribution network；When intermittent energy source power generation is small
In charge workload demand when, only in the case where the two characteristic is consistent, can achieve the effect that complementary consumption, and electric during this
Electrical automobile also needs to charge by power distribution network, the generated energy of other time intermittent energy source need to be carried out by power distribution network conveying and
Distribution, and electric vehicle charging also needs to charge by power distribution network.
It contributes in electric automobile load and intermittent energy source incoherent, due to intermittent energy source generated output spy
Property and the charge characteristic of electric vehicle are uncorrelated, and therefore, intermittent energy source electricity amount need to be transmitted point by power distribution network
Match, and electric vehicle also needs to charge by power grid.At this point, electric vehicle charging does not have complementation with what intermittent energy source generated electricity
Dissolve characteristic.
When large-scale electric vehicle networks and charges, the load that can lead to some areas is nervous, can especially aggravate peak
The power grid burden of period.Due at present by intermittent energy source power generation and electric vehicle orderly charging can't the coordinating and unifying, into
And both cannot inhibit the impact to power grid, there are electric vehicle it is larger to the impact of power grid in charging the problem of.
For electric vehicle in the prior art it is larger to the impact of power grid in charging the problem of, not yet propose at present effective
Solution.
Invention content
It is a primary object of the present invention to provide a kind of charging method of electric vehicle, device, storage medium and processor,
At least to solve the problems, such as that electric vehicle is larger to the impact of power grid in charging.
To achieve these goals, according to an aspect of the invention, there is provided a kind of charging method of electric vehicle.It should
Method includes：The charge requirement model of electric vehicle is obtained, wherein, charge requirement model is used to predict electric vehicle in charging
The charging load needed；When determining that electric vehicle is in object time charging according to charge requirement model, intermittent energy source is needed
The target charging load of offer；Within the object time, the target charging load provided by intermittent energy source is filled to electric vehicle
Electricity.
Optionally, the charge requirement model for obtaining electric vehicle includes：Electric vehicle is obtained to start to charge up at any time
The first probability density, wherein, the first probability density is used to indicate the probability distribution that electric vehicle starts to charge up at any time
Situation；The second probability density of the day charging duration of electric vehicle is obtained, wherein, the second probability density is used to indicate electric vehicle
Day charging duration probability distribution situation；Determine electric vehicle in charging according to the first probability density and the second probability density
Arbitrary charging moment and charging duration probability distribution information；Determine that electric vehicle is every in one day according to probability distribution information
The desired value of the charge requirement at one time point；Charge requirement model is established according to desired value.
Optionally, the first probability density that electric vehicle starts to charge up at any time is obtained to include：Obtain electric vehicle
Last time returns to third probability density at the time of target location, wherein, third probability density is used to indicate electric vehicle most
Probability distribution situation at the time of side return target location afterwards；Third probability density is determined as the first probability density.
Optionally, the second probability density for obtaining the day charging duration of electric vehicle includes：Obtain the day row of electric vehicle
The 4th probability density of mileage is sailed, wherein, daily travel is corresponding with day charging duration, and the 4th probability density is used to indicate electricity
The probability distribution situation of the daily travel of electrical automobile；The of the day charging duration of electric vehicle is determined according to the 4th probability density
Two probability density.
Optionally, according to the phase of the probability distribution information charge requirement at each time point that determines electric vehicle in one day
Prestige value includes：Monte Carlo forecast is carried out to probability distribution information, each time point that obtains electric vehicle in one day fills
The desired value of electricity demanding.
Optionally, charge requirement model is established according to desired value to include：The charging that electric vehicle is obtained according to desired value is born
Lotus demand curve, wherein, charging workload demand curve is used to indicate electric vehicle and charges at any time the charging loads of needs；
Charging workload demand curve is determined as charge requirement model.
To achieve these goals, according to another aspect of the present invention, a kind of charging unit of electric vehicle is additionally provided.
The device includes：Acquiring unit, for obtaining the charge requirement model of electric vehicle, wherein, charge requirement model is used to predict
The charging load that electric vehicle is needed in charging；Determination unit, for determining electric vehicle in mesh according to charge requirement model
When marking in time charging, the target charging load of intermittent energy source offer is needed；Charhing unit, within the object time, leading to
The target charging load for crossing intermittent energy source offer charges to electric vehicle.
Optionally, acquiring unit includes：First acquisition module is started to charge up at any time for obtaining electric vehicle
First probability density, wherein, the first probability density is used to indicate the probability distribution feelings that electric vehicle starts to charge up at any time
Condition；Second acquisition module, for obtaining the second probability density of the day of electric vehicle charging duration, wherein, the second probability density
It is used to indicate the probability distribution situation of the day charging duration of electric vehicle；First determining module, for according to the first probability density
The probability distribution information of arbitrary charging moment and charging duration of the electric vehicle in charging is determined with the second probability density；Second
Determining module, for the expectation according to the probability distribution information charge requirement at each time point that determines electric vehicle in one day
Value；Module is established, for establishing charge requirement model according to desired value.
To achieve these goals, according to another aspect of the present invention, a kind of storage medium is additionally provided.The storage medium
Program including storage, wherein, equipment performs the electronic vapour of the embodiment of the present invention where controlling storage medium when program is run
The charging method of vehicle.
To achieve these goals, according to another aspect of the present invention, a kind of processor is additionally provided.The processor is used for
Program is run, wherein, the charging method of the electric vehicle of execution embodiment of the present invention when program is run.
The embodiment by obtaining the charge requirement model of electric vehicle, wherein, charge requirement model is electronic for predicting
The charging load that automobile is needed in charging；When determining that electric vehicle is in object time charging according to charge requirement model, need
Want the target charging load that intermittent energy source provides；Within the object time, pass through the target charging load of intermittent energy source offer
It charges to electric vehicle.During due to by determining that electric vehicle is in object time charging according to charge requirement model, between needing
The target charging load that performance of having a rest source provides, and then load is charged to electric vehicle charging by target, reach and passed through interval
The coordinating and unifying that performance source generates electricity and electric vehicle orderly charges to inhibit impact of the two to power grid, solves electric vehicle
The problem of larger to the impact of power grid in charging, has achieved the effect that reduce impact of the electric vehicle in charging to power grid.
Description of the drawings
The attached drawing for forming the part of the application is used to provide further understanding of the present invention, schematic reality of the invention
Example and its explanation are applied for explaining the present invention, is not constituted improper limitations of the present invention.In the accompanying drawings：
Fig. 1 is a kind of flow chart of the charging method of electric vehicle according to embodiments of the present invention；
Fig. 2 is a kind of schematic diagram of power battery charging characteristic according to embodiments of the present invention；
Fig. 3 probability that is a kind of electric vehicle according to embodiments of the present invention at the time of last time returns to park ground shows
It is intended to；
Fig. 4 is a kind of schematic diagram of electric vehicle daily travel probability density according to embodiments of the present invention；
Fig. 5 is a kind of schematic diagram of charging of electric vehicle day duration probability density according to embodiments of the present invention；
Fig. 6 is a kind of separate unit electric vehicle charging desired schematic diagram of load according to embodiments of the present invention；And
Fig. 7 is a kind of schematic diagram of the charging unit of electric vehicle according to embodiments of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the application can phase
Mutually combination.The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
In order to which those skilled in the art is made to more fully understand application scheme, below in conjunction in the embodiment of the present application
The technical solution in the embodiment of the present application is clearly and completely described in attached drawing, it is clear that described embodiment is only
The embodiment of the application part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
All other embodiment that member is obtained without making creative work should all belong to the model of the application protection
It encloses.
It should be noted that term " first " in the description and claims of this application and above-mentioned attached drawing, "
Two " etc. be the object for distinguishing similar, and specific sequence or precedence are described without being used for.It should be appreciated that it uses in this way
Data can be interchanged in the appropriate case, so as to embodiments herein described herein.In addition, term " comprising " and " tool
Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing series of steps or unit
Process, method, system, product or equipment are not necessarily limited to those steps or unit clearly listed, but may include without clear
It is listing to Chu or for the intrinsic other steps of these processes, method, product or equipment or unit.
Embodiment 1
An embodiment of the present invention provides a kind of charging methods of electric vehicle.
Fig. 1 is a kind of flow chart of the charging method of electric vehicle according to embodiments of the present invention.As shown in Figure 1, the party
Method includes the following steps：
Step S102 obtains the charge requirement model of electric vehicle.
In the technical solution provided in the application above-mentioned steps S102, the charge requirement model of electric vehicle is obtained, wherein,
Charge requirement model is used to predict the charging load that electric vehicle is needed in charging.
Electric vehicle can promote complementation therebetween with intermittent energy source from operation level and two levels of planning
Consumption.Operation level is mainly analyzed from electric vehicle in the unordered and orderly charging of some specific time；Planning level
It is operation characteristic that will be based on electric vehicle and intermittent energy source, the electric automobile charging station from the viewpoint of developing long-time
Space layout.
Electric vehicle charges, and on power grid, most directly influence is from two aspects for behavior, one is automobile user pair
The mode that entrained battery charges；Another is the use habit of automobile user.The electric vehicle of public service class leads to
Often with having fixed standage and a ride characteristic, therefore regardless of its charge requirement, characteristic can be regarded as and stablized relatively
Concentrated load；However the behavior of private riding electric automobile is usually only limited by individual subscriber will and accumulator capacity
System so that the charge requirement of private riding electric automobile has maximum degree of freedom and uncertainty.Since electric vehicle has
Charging in many ways, private riding electric user vehicle individual will is unpredictable, and private riding electric automobile institute accounting
It is again again very big, thus the electric vehicle of the embodiment can preferably private riding electric automobile.
Optionally, the charge requirement model of the embodiment is mainly used for predicting that private riding electric automobile is needed in charging
Charging load.The essence of electric vehicle charging workload demand is its load curve that charges.Charge load curve and power and
Time is related.It is charged when the power battery on electric vehicle is in charging using " constant current~constant pressure " two benches charging modes.Than
Such as, battery is first charged to by a voltage threshold with constant electric current, then continued straight with threshold voltage progress constant-voltage charge
It is full of to battery.Wherein, in constant-current charging phase, the terminal voltage of battery is being continuously improved, and charge power also will be improved accordingly,
Constant voltage charging phase, charging current are continuously decreased with the charged ratio of battery, and charge power slowly declines.If power battery is
Accumulator, then accumulator with use a period of time its internal resistance can also become larger, the larger accumulator of internal resistance is in constant-current charge
The stage electric energy of storage is less, and the time is also shorter, and the supplement of energy is essentially from constant voltage charging phase, this stage charge power
Variation is little.Therefore, the charging process of power battery can be reduced to invariable power charging process.
The charging modes of electric vehicle are made of charging time started and duration of charge.It can be in office with electric vehicle
The probability distribution situation and the probability distribution situation of duration of charge that the meaning moment starts to charge up determine charge requirement model.This is filled
Electricity demanding model can control the charging process of electric vehicle to reduce its influence to power grid by coordination, can guide electronic
Automobile is orderly charged, to reduce extensive unordered charging impact caused by power grid, while charge requirement model can lead to
It crosses to charging duration of load application and quantitative control, to inhibit the electric vehicle fluctuation caused by power grid, consumption in charging new
The energy is contributed.
Step S104 when determining that electric vehicle is in object time charging according to charge requirement model, needs interval performance
The target charging load that source provides.
The application above-mentioned steps S104 provide technical solution in, obtain electric vehicle charge requirement model it
Afterwards, when determining that electric vehicle is in object time charging according to charge requirement model, the target that intermittent energy source provides is needed to fill
Electric load.
The object time of the embodiment can be the random time in 24 hours, and different time corresponds to electric vehicle and charging
When corresponding duration of charge and need charging load, the charging load be electric vehicle consumption electric energy, unit can
Think kW.Charge requirement model is used to predict the charging load that electric vehicle is needed in charging, and the embodiment is according to charging need
Modulus type determines target charging load required when electric vehicle charges within the object time, and intermittent energy source can be to electronic vapour
Vehicle provides target charging load, so that the charging load that the power generation of intermittent energy source is completely used for electric vehicle is dissolved, it can
To achieve the effect that complementary consumption so that intermittent energy source reaches preferable supply and demand with the target load needed for electric vehicle and puts down
Weighing apparatus, and then intermittent energy source electricity generation grid-connecting and electric vehicle is avoided to charge and impact and influence caused by operation of power networks.
Step S106, within the object time, the target charging load provided by intermittent energy source charges to electric vehicle.
In the technical solution provided in the application above-mentioned steps S106, determine to need intermittence according to charge requirement model
The energy is after the target charging load that electric vehicle provides, and within the object time, the target provided by intermittent energy source is filled
Electric load charges to electric vehicle, controls the charging process of electric vehicle, guiding by coordinating intermittent energy source power generation in this way
Electric vehicle is orderly charged according to the target charging load determined by charge requirement model, to reduce extensive unordered charging
The impact caused by power grid, at the same can be by being controlled to inhibit the new energy to network in charging duration of load application and quantity when pair
Fluctuation caused by power grid, consumption new energy are contributed.
The embodiment by obtaining the charge requirement model of electric vehicle, wherein, charge requirement model is electronic for predicting
The charging load that automobile is needed in charging；When determining that electric vehicle is in object time charging according to charge requirement model, need
Want the target charging load that intermittent energy source provides；Within the object time, pass through the target charging load of intermittent energy source offer
It charges to electric vehicle.During due to by determining that electric vehicle is in object time charging according to charge requirement model, between needing
The target charging load that performance of having a rest source provides, and then load is charged to electric vehicle charging by target, reach and passed through interval
The coordinating and unifying that performance source generates electricity and electric vehicle orderly charges to inhibit impact of the two to power grid, solves electric vehicle
The problem of larger to the impact of power grid in charging, has achieved the effect that reduce impact of the electric vehicle in charging to power grid.
As an alternative embodiment, step S102, the charge requirement model for obtaining electric vehicle includes：Obtain electricity
The first probability density that electrical automobile starts to charge up at any time, wherein, it is in office that the first probability density is used to indicate electric vehicle
The probability distribution situation that the meaning moment starts to charge up；The second probability density of the day charging duration of electric vehicle is obtained, wherein, second
Probability density is used to indicate the probability distribution situation of the day charging duration of electric vehicle；According to the first probability density and the second probability
Density determines the probability distribution information of arbitrary charging moment and charging duration of the electric vehicle in charging；Believed according to probability distribution
Breath determines the desired value of electric vehicle charge requirement at each time point in one day；Charge requirement mould is established according to desired value
Type.
The electric vehicle of the embodiment is at the time of starting to charge up with certain centrality.Electronic vapour is obtained for convenience
It is close to obtain the first probability that electric vehicle starts to charge up at any time for the probability distribution situation that vehicle starts to charge up at any time
Degree.Optionally, the probability density statistical data for starting to charge up the moment electric vehicle day is obtained, for example, electric vehicle starts to charge up
Time is concentrated mainly on 14：00~22：Between 00, and 17：00 reaches the quantitative peak value of return, and Matlab can be utilized bent
Line fitting tool is fitted the probability density function for starting to charge up the moment of electric vehicle, bent so as to obtain continuous probability density
Line.
The second probability density of the day charging duration of electric vehicle is obtained, can be charged duration by electric vehicle in the odd-numbered day
Probability density histogram identify the second probability density.Optionally, the probability for obtaining separate unit electric vehicle day charging duration is close
Statistical data is spent, for example, electric vehicle day charging duration concentrates on 2~4 hours, few electric vehicle charging durations are more than 10
Hour.Meanwhile the probability of a length of 0 hour should also be very low during electric vehicle charging, can utilize Matlab curve matchings
The probability density function of tool fitting electric vehicle charging duration, obtains the second probability density.
Charge duration in the day for obtaining the first probability density for starting to charge up at any time of electric vehicle and electric vehicle
The second probability density after, determine that arbitrary in charging of electric vehicle being filled according to the first probability density and the second probability density
Electric moment and the probability distribution information of charging duration, can obtain electric vehicle and be carved at the beginning of unordered charging under low level management
And the probability scenarios of charging duration.According to the charging at probability distribution information each time point that determines electric vehicle in one day
The desired value of demand, that is, determining the expectation of electric vehicle electric vehicle charge requirement at each time point in one day, most
The load curve of electric vehicle charging is obtained according to desired value afterwards, to establish charge requirement model.
As an alternative embodiment, obtain the first probability density packet that electric vehicle starts to charge up at any time
It includes：Third probability density at the time of electric vehicle last time returns to target location is obtained, wherein, third probability density is used for
Indicate probability distribution situation at the time of the last side of electric vehicle returns to target location；Third probability density is determined as first
Probability density.
In this embodiment, since private riding electric automobile is using normal charge mode, charge power is relatively small,
Charging time is longer, therefore charge frequency will not be too high.Private riding electric automobile be assume that under normal charge mode, one
It is only once charged within it.Charging time needed for normal charge is relatively long, and vehicle on daytime is mostly used for travelling, can
Return to the time of target location, as when starting to charge up of electric vehicle for the last time to assume electric vehicle within one day
It carves, wherein, target location is the park place of electric vehicle.Private riding electric automobile return to for the last time park when
Between on probability there is more apparent rule, for example, the time that electric vehicle last time returns to park ground mainly concentrates
14：00~22：Between 00, and 17：00 reaches the quantitative peak value of return.Since electric vehicle last time returns to park
Ground starts to charge up, then also will be with certain centrality at the time of electric vehicle starts to charge up.Electronic vapour is obtained for convenience
The probability distribution situation that vehicle starts to charge up at any time, at the time of electric vehicle last time return target location can be obtained
Third probability density, to electric vehicle last time return park ground the moment third probability density carry out curve fitting, from
And continuous probability density curve is obtained, which can be the continuous probability density of the first probability density
Curve.
Optionally, it is high that the moment progress of park ground is returned to electric vehicle last time using the curve-fitting tool of Matlab
This fitting can obtain the probability density function f of charging start time TS under unordered charge conditionTS：Wherein, a=0.123, b=18.49, c=20.65, Jin Erke
The probability scenarios of TS are carved at the beginning of unordered charging to obtain electric vehicle under low level management.Charging start time TS's is general
The probability density function of rate density function namely the first probability density realizes acquisition electric vehicle and starts to charge up at any time
The first probability density purpose.
As an alternative embodiment, the second probability density for obtaining the day charging duration of electric vehicle includes：It obtains
The 4th probability density of the daily travel of electric vehicle is taken, wherein, daily travel is corresponding with day charging duration, and the 4th is general
Rate density is used to indicate the probability distribution situation of the daily travel of electric vehicle；Electric vehicle is determined according to the 4th probability density
Day charging duration the second probability density.
In this embodiment, there is directly the state-of-charge of battery when the duration of charge of electric vehicle is with returning to park ground
Relationship, electric vehicle can charge according to invariable power charge model, then the duration of electric vehicle charging and electronic vapour
The daily mileage travelled of vehicle is uniquely related.Obtain electric vehicle daily travel the 4th probability density, daily travel with
Day charging duration is corresponding, and optionally, private electric vehicle mostly between 20~60 miles, seldom surpasses in odd-numbered day mileage travelled S
Cross 140 miles.The second probability density of the day charging duration of electric vehicle is determined according to the 4th probability density, for example, electronic vapour
The electric energy W of every hundred miles of consumption of vehicle is fixed, the charge power P of electric vehiclecBe also it is constant, then the electric vehicle odd-numbered day fill
Electric duration TC isAnd then it can learn the probability density histogram of electric vehicle odd-numbered day charging duration TC.
Optionally, the electric energy of electric vehicle per 100 km consumption can be calculated according to 15kW, it can be assumed that：W=
1.609344 hundred miles of × 15kW=24.14016kW/, Pc=2.5kW.
The day charging duration of electric vehicle concentrates on 2~4 hours, and few electric vehicles charged duration more than 10 hours.
Meanwhile the probability of a length of 0 hour should also be very low during electric vehicle charging.In the day charging duration for obtaining electric vehicle
After second probability density, the probability density function of Matlab curve-fitting tools fitting electric vehicle charging duration can be utilized
fTC：fTC=aeb·t+c·ed·t(0≥t≤24).Wherein, a=2108.93, b=-0.6024, c=-2109.02, d=-
0.6026, and then the probability scenarios of electric vehicle charging duration TC of unordered charging under low level management can be obtained.
As an alternative embodiment, electric vehicle each time in one day is determined according to probability distribution information
The desired value of the charge requirement of point includes：Monte Carlo forecast is carried out to probability distribution information, obtains electric vehicle in one day
The desired value of the charge requirement at each time point.
The embodiment is in the charge requirement at each time point that determines electric vehicle according to probability distribution information in one day
Desired value when, can to probability distribution information carry out Monte Carlo forecast, obtain electric vehicle each time in one day
The desired value of the charge requirement of point, the Monte Carlo that can carry out the unordered charging workload demand of separate unit electric vehicle in one day are pre-
It surveys, the essence of the Monte Carlo forecast is that the electronic vapour at each time point in one day is determined using large-scale simulated experiment
The expectation of vehicle charge requirement.
Optionally, array ts (j), the tc (j) that two capacity are N is created to represent electric vehicle charging time started TS and fill
Electric duration T C becomes the sample met with fts (t) and ftc (t) for probability density function, and enables array respectively
In N number of sample random alignment.
T is the two-dimensional array that a capacity is 24 × N, records the state of electric vehicle in each hour in one day.Sentence
Any sampling time point t in one day disconnectedkThe charged state of (0 ＜ k≤24), if tkMoment jth electric vehicle is charged state,
Then tk(j) it is 1, is otherwise 0.The foundation of judgement such as following formula：
But it is various above simultaneous cannot obtain analytic expression, this is the one of the major reasons using Monte Carlo method.
Count tkIn 1 number n, n/N be k moment electric vehicle charging number of units probability.
According to formula：Calculate the expectation of k moment separate units electric vehicle charging load, wherein PcFor separate unit electricity
The charge power of electrical automobile invariable power charge model.
Include as an alternative embodiment, establishing charge requirement model according to desired value：It is obtained according to desired value
The charging workload demand curve of electric vehicle, wherein, charging workload demand curve is used to indicate electric vehicle and fills at any time
The charging load that electricity needs；Charging workload demand curve is determined as charge requirement model.
The embodiment can obtain the charging workload demand curve of electric vehicle according to desired value, can obtain 24 hours
Interior electric vehicle charging workload demand it is expected to be separate unit electric vehicle charging workload demand expectation curve, due to Monte Carlo method
It is a kind of random device, there is certain uncertainty, it is therefore desirable to which repeatedly experiment obtains average value.The embodiment takes N
=50000, Pc=2.5kW, repetitive operation are averaged for 100 times to obtain separate unit electric vehicle charging load expectation curve, will fill
Electrical load requirement curve is determined as charge requirement model.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is performed in computer system, although also, show logical order in flow charts, it in some cases, can be with not
The sequence being same as herein performs shown or described step.
Embodiment 2
Technical scheme of the present invention is illustrated with reference to preferred embodiment.
The respective characteristic of intermittent energy source and electric vehicle and its influence to power distribution network are integrated, to mitigate interval performance
It is negatively affected caused by source and extensive electric vehicle access power distribution network, while can cause resource obtains maximizing to answer again
With realization electric vehicle, intermittent energy source and the coordinated development of power distribution network three should analyze its complementation consumption characteristic.
Since the power producing characteristics randomness and uncertainty of intermittent energy source are larger, and electric vehicle charging also has that its is special
Whether rule, electric vehicle charge requirement and intermittent energy source power producing characteristics are coordinated, and decide region electric vehicle and intermittence
The ability of energy complementation consumption.
According to application characteristic and scale, analysis object can be divided into cell-level (Commercial Complex grade), feeder line grade and substation
The three classes such as grade.Wherein, the charge mode that cell-level is related to based on trickle charge, feeder line grade and power transformation station level using fast charge change power mode as
It is main.
According to the characteristic that electric vehicle charging and intermittent energy source generate electricity, consumption relationship therebetween can be from following constraint item
The angle analysis of part：The correlation that electric automobile load and intermittent energy source are contributed mainly includes " very related ", " has certain
Three angles such as correlation ", " uncorrelated "；The magnitude relationship that electric automobile load and intermittent energy source are contributed, between mainly including
The power generation of performance of having a rest source is more than charging workload demand, intermittent energy source power generation remains basically stable with charging workload demand, intermittent energy source
Power generation is less than three angles such as charging workload demand.
Table 1 dissolves specificity analysis table
Table 1 is consumption specificity analysis table according to embodiments of the present invention.As the above analysis, electric vehicle charging and
The characteristic of performance of having a rest source power generation consumption is divided into above-mentioned nine kinds of scenes.
For large-scale electric vehicle when networking charging, the load that can lead to some areas is nervous, can especially aggravate peak
The power grid burden of period need to control the charging process of electric vehicle to reduce its influence to power grid by coordination.Therefore, pass through
Guiding electric vehicle is orderly charged, to reduce extensive unordered charging impact caused by power grid, while can be by right
The new energy such as wind, light networking fluctuation caused by power grid is stabilized in charging duration of load application and quantitative control, and consumption new energy goes out
Power.The coordinating and unifying orderly charged by intermittent energy source power generation and electric vehicle, to inhibit impact of the two to power grid.
Electric vehicle mainly promotes the complementary of the two to dissolve with intermittent energy source from running and planning two levels.Its
In, operation level is mainly analyzed from electric vehicle in the unordered and orderly charging of some specific time, and planning level is
Operation characteristic that will be based on electric vehicle and intermittent energy source, the electric automobile charging station from the viewpoint of developing long-time
Space layout.
Extensive electric vehicle charge requirement is introduced below.
Electric vehicle charges, and on power grid, most directly influence is from two aspects for behavior, one is automobile user pair
The mode that entrained battery charges；Another is the use habit of automobile user.Below with regard to the two aspect respectively into
Row analysis and discussion.
User behavior custom is to determine a big key factor of electric vehicle charge requirement.Automobile user group is drawn
The important evidence divided is the character of use of electric vehicle in itself.The character of use of electric vehicle can be divided into public service with
Two major class of private car.Wherein, public service class can be divided into the types such as public transit vehicle, municipal vehicle, mail van again.It is public
Service class vehicle common feature be they usually have fixed standage and ride characteristic, therefore no matter its charge requirement
How, the metastable concentrated load of characteristic can be regarded as.However private passenger car is but on the contrary, the row of private passenger car
Usually only to be limited by individual subscriber will and accumulator capacity so that the charge requirement of private riding electric automobile has
Maximum degree of freedom and uncertainty.Since electric vehicle has charging in many ways, the user's of private riding electric automobile
Individual will is unpredictable, and private passenger car proportion is again very big, and for the above reasons, which mainly studies private
People's riding electric automobile in a manner of normal charge based on charge requirement prediction.
Separate unit electric vehicle charge requirement model is introduced below.
The essence of electric vehicle charging workload demand is its load curve that charges.Therefore the embodiment is concerned with load song
Power and matter of time on line.
Under premised on charging problems under the private passenger car normal charge mode of determining discussion, it is possible to further discuss
The charge power problem of electric vehicle.The power battery on electric vehicle is applied mainly to have lead-acid battery, Ni-MH battery and lithium
Three kinds of ion battery.Which kind of power battery is all charged in charging using " constant current~constant pressure " two benches charging modes.The
Battery is first charged to a voltage threshold by one stage with constant electric current, and second stage continues to carry out constant pressure with the threshold voltage
Charging is until battery is full of.In constant-current charging phase, the terminal voltage of battery is being continuously improved, and charge power also will be improved accordingly.
In constant voltage charging phase, charging current is continuously decreased with the charged ratio of battery, and charge power slowly declines.
Fig. 2 is a kind of schematic diagram of power battery charging characteristic according to embodiments of the present invention.As shown in Fig. 2, it actually fills
Electrical power is in rising trend with the variation of state-of-charge (%), and virtual voltage becomes with the variation of state-of-charge (%) in rising
Gesture.When power battery be accumulator when, accumulator with use a period of time its internal resistance can also become larger, the larger storage of internal resistance
Battery is less in the electric energy that constant-current charging phase stores, and the time is also shorter, the supplement of energy essentially from constant voltage charging phase, this
The variation of one stage charge power is little.Therefore, the charging process of power battery can be reduced to invariable power charging process.
Charging time problem under electric vehicle normal charge mode is made of two parts factor, when being that charging starts respectively
Between and duration of charge.When using normal charge mode due to private riding electric automobile, charge power is relatively small,
Charging time is longer, therefore charge frequency will not be too high.It assume that private riding electric automobile one under normal charge mode
It is only once charged within it.Charging time needed for normal charge is relatively long, and vehicle on daytime is mostly used for travelling, can
It is started to charge up with returning to park for the last time with continuing to assume electric vehicle within one day.
Fig. 3 probability that is a kind of electric vehicle according to embodiments of the present invention at the time of last time returns to park ground shows
It is intended to.As shown in Figure 3.Private riding electric user vehicle last time returns to the probability of park ground in time, and there is more
Apparent rule.The time that electric vehicle last time returns to park ground is concentrated mainly on 14：00~22：Between 00, and 17：
00 reaches the quantitative peak value of return.Electric vehicle last time starts to charge up with returning to park, then electric vehicle starts to fill
It also will be with certain centrality at the time of electric.The probability distribution that electric vehicle starts to charge up at any time is obtained for convenience
Situation can carry out curve fitting to block diagram shown in Fig. 3, so as to obtain continuous probability density curve.It can utilize
The curve-fitting tool of Matlab carries out Gauss curve fitting to upper diagram data, can obtain charging start time under unordered charge condition
The probability density function f of TSTS：
Wherein, a=0.123, b=18.49, c=20.65.
The charging time of electric vehicle is introduced below.
The state-of-charge of battery has direct relation, electric vehicle when the duration of charge of electric vehicle is with returning to park ground
It charges according to invariable power charge model, then the duration mileage travelled unique phase daily with vehicle of electric vehicle charging
It closes.
Fig. 4 is a kind of schematic diagram of electric vehicle daily travel probability density according to embodiments of the present invention.Such as Fig. 4 institutes
Show, electric vehicle odd-numbered day mileage travelled S rarely exceeds 140 miles mostly between 20~60 miles.If it is assumed that electric vehicle is every
The electric energy W of hundred miles of consumption is fixed, the charge power P of electric vehiclecAnd it is constant, then it can be according to equation below
(2) probability density histogram of electric vehicle odd-numbered day charging duration TC is learnt：
A large amount of statistical data shows that the electric energy of electric vehicle per 100 km consumption can calculate, therefore can according to 15kW
To assume：
Hundred miles of W=1.609344 × 15kW=24.14016kW/, Pc=2.5kW (3)
Fig. 5 is a kind of schematic diagram of charging of electric vehicle day duration probability density according to embodiments of the present invention.Such as Fig. 5 institutes
Show, electric vehicle day charging duration concentrates on 2~4 hours, and few electric vehicles charged duration more than 10 hours.Meanwhile electricity
The probability of a length of 0 hour should also be very low when electrical automobile charges.The probability for having separate unit electric vehicle day charging duration is close
Spend statistical data, it is possible to according to the above method, utilize the general of Matlab curve-fitting tools fitting electric vehicle charging duration
Rate density function fTC：
fTC=aeb·t+c·ed·t(0≥t≤24) (4)
Wherein, a=2108.93, b=-0.6024, c=-2109.02, d=-0.6026.
It can obtain electric vehicle carves TS and the duration TC that charges under low level management probability at the beginning of unordered charging
Situation, you can carry out the Monte Carlo forecast of the unordered charging workload demand of separate unit electric vehicle in one day.Monte Carlo forecast
Essence is using large-scale simulated experiment, determines the expectation of the electric vehicle charge requirement at each time point in one day, with
This obtains the load curve of electric vehicle charging.Its operating process can be divided into following steps：
(1) array ts (j), the tc (j) that two capacity are N are created, ts (j), tc (j) represent electric vehicle charging and open respectively
Begin time TS and duration of charge TC, becomes the sample met using fts and ftc as probability density function respectively, and
Enable N number of sample random alignment in array.
(2) t is the two-dimensional array that a capacity is 24 × N, records the state of electric vehicle in each hour in one day.
Judge any sampling time point t in one daykThe charged state of (0 ＜ k≤24), if tkMoment jth electric vehicle is charging shape
State, then tk(j) it is 1, is otherwise 0.The foundation of judgement such as following formula：
It is various above simultaneous to obtain analytic expression, this be also the embodiment using Monte Carlo method major reason it
One.
(3) t is countedkIn 1 number n, n/N be k moment electric vehicle charging number of units probability.
(4) according to following formula (6)：
Calculate the expectation of k moment separate units electric vehicle charging load, wherein PcFor separate unit electric vehicle invariable power charging mould
The charge power of type.
(5) complete the electric vehicle charging workload demand that above step was obtained in 24 hours it is expected to be separate unit electric vehicle
Charge workload demand expectation curve.Since Monte Carlo method is a kind of random device, there is certain uncertainty, it is therefore desirable to
Repeatedly experiment obtains average value.
Optionally, which takes N=50000, Pc=2.5kW, repetitive operation are averaged for 100 times to obtain separate unit electronic
Automobile charging load expectation curve.
Fig. 6 is a kind of separate unit electric vehicle charging desired schematic diagram of load according to embodiments of the present invention.Such as Fig. 6 institutes
Show, be 0~24 when within corresponding separate unit electric vehicle charge requirement (kW).Wherein, the separate unit electric vehicle charge requirement at 9
Reach minimum, charge requirement reaches highest at 20.Due to by determining electric vehicle in target according to charge requirement model
Between charging in when, need intermittent energy source provide target charging load, and then by target charge load filled to electric vehicle
Electricity has reached the coordinating and unifying orderly charged by intermittent energy source power generation and electric vehicle, the two to be inhibited to rush power grid
Hit, solve the problems, such as electric vehicle charging when it is larger to the impact of power grid, reached reduction electric vehicle charging when pair
The effect of the impact of power grid avoids the influence to a certain extent to the Supply Security and power supply quality of power distribution network.
Embodiment 3
The embodiment of the present invention additionally provides a kind of charging unit of electric vehicle.It should be noted that the electricity of the embodiment
The charging unit of electrical automobile can be used for performing the charging method of the electric vehicle of the embodiment of the present invention.
Fig. 7 is a kind of schematic diagram of the charging unit of electric vehicle according to embodiments of the present invention.As shown in fig. 7, the dress
Put including：Acquiring unit 10, determination unit 20 and charhing unit 30.
Acquiring unit 10, for obtaining the charge requirement model of electric vehicle, wherein, charge requirement model is used to predict electricity
The charging load that electrical automobile is needed in charging.
Determination unit 20, for according to charge requirement model determine electric vehicle the object time charging in when, between needing
The target charging load that performance of having a rest source provides.
For within the object time, load is charged to electronic vapour by the target that intermittent energy source provides for charhing unit 30
Vehicle charges.
Optionally, acquiring unit 10 includes：First acquisition module, the second acquisition module, the first determining module, second determine
Module and establish module.Wherein, the first acquisition module, for obtaining the first probability that electric vehicle starts to charge up at any time
Density, wherein, the first probability density is used to indicate the probability distribution situation that electric vehicle starts to charge up at any time；Second obtains
Modulus block, for obtaining the second probability density of the day of electric vehicle charging duration, wherein, the second probability density is used to indicate electricity
The probability distribution situation of the day charging duration of electrical automobile；First determining module, for according to the first probability density and the second probability
Density determines the probability distribution information of arbitrary charging moment and charging duration of the electric vehicle in charging；Second determining module,
For the desired value according to the probability distribution information charge requirement at each time point that determines electric vehicle in one day；Establish mould
Block, for establishing charge requirement model according to desired value.
Optionally, the first acquisition module includes：First acquisition submodule and the first determination sub-module.Wherein, it first obtains
Submodule, for obtaining third probability density at the time of electric vehicle last time returns to target location, wherein, third probability
Density is used to indicate probability distribution situation at the time of the last side of electric vehicle returns to target location；First determination sub-module,
For third probability density to be determined as the first probability density.
Optionally, the second acquisition module includes：Second acquisition submodule and the second determination sub-module.Wherein, it second obtains
Submodule, for obtaining the 4th probability density of the daily travel of electric vehicle, wherein, daily travel and the duration that charges day
Corresponding, the 4th probability density is used to indicate the probability distribution situation of the daily travel of electric vehicle；Second determination sub-module,
For determining the second probability density of the day of electric vehicle charging duration according to the 4th probability density.
Optionally, the second determining module includes：Predict submodule, it is pre- for carrying out Monte Carlo to probability distribution information
It surveys, the desired value for the charge requirement at each time point that obtains electric vehicle in one day.
Optionally, module is established to include：Third acquisition submodule and third determination sub-module.Wherein, third obtains submodule
Block, for obtaining the charging workload demand curve of electric vehicle according to desired value, wherein, charging workload demand curve is used to indicate
Electric vehicle charges the charging loads of needs at any time；Charging workload demand curve is determined as by third determination sub-module
Charge requirement model.
The embodiment obtains the charge requirement model of electric vehicle by acquiring unit 10, wherein, charge requirement model is used
The charging load needed when electric vehicle is predicted in charging, electronic vapour is determined by determination unit 20 according to charge requirement model
When vehicle is in object time charging, the target charging load of intermittent energy source offer is needed, by charhing unit 30 in target
In, the target charging load provided by intermittent energy source charges to electric vehicle.Due to by according to charge requirement model
When determining that electric vehicle is in object time charging, the target charging load of intermittent energy source offer is needed, and then passes through target
The load that charges charges to electric vehicle, has reached the coordinating and unifying orderly charged by intermittent energy source power generation and electric vehicle,
Both inhibit the impact to power grid, solve the problems, such as that electric vehicle is larger to the impact of power grid in charging, reached and subtracted
Small electric vehicle is in charging to the effect of the impact of power grid.
Embodiment 4
The embodiment of the present invention additionally provides a kind of storage medium.The storage medium includes the program of storage, wherein, in program
Equipment performs the charging method of the electric vehicle of the embodiment of the present invention where controlling storage medium during operation.
Embodiment 5
The embodiment of the present invention additionally provides a kind of processor.The processor is used to run program, wherein, program is held when running
The charging method of the electric vehicle of the row embodiment of the present invention.
Obviously, those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general
Computing device realize that they can concentrate on single computing device or be distributed in multiple computing devices and be formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
In the storage device by computing device come perform either they are fabricated to respectively each integrated circuit modules or by they
In multiple modules or step be fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific
Hardware and software combines.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, that is made any repaiies
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of charging method of electric vehicle, which is characterized in that including：
The charge requirement model of electric vehicle is obtained, wherein, the charge requirement model is used to predict that the electric vehicle is filling
The charging load needed when electric；
When determining that the electric vehicle is in object time charging according to the charge requirement model, intermittent energy source is needed to provide
Target charging load；
Within the object time, the target charging load provided by the intermittent energy source charges to the electric vehicle.
2. according to the method described in claim 1, it is characterized in that, the charge requirement model for obtaining the electric vehicle includes：
The first probability density that the electric vehicle starts to charge up at any time is obtained, wherein, first probability density is used
In the probability distribution situation that the instruction electric vehicle starts to charge up at any time；
The second probability density of the day charging duration of the electric vehicle is obtained, wherein, second probability density is used to indicate
The probability distribution situation of the day charging duration of the electric vehicle；
Arbitrary charging of the electric vehicle in charging is determined according to first probability density and second probability density
Moment and the probability distribution information of charging duration；
According to the expectation of the probability distribution information charge requirement at each time point that determines the electric vehicle in one day
Value；
The charge requirement model is established according to the desired value.
3. according to the method described in claim 2, it is characterized in that, obtain what the electric vehicle started to charge up at any time
First probability density includes：
The third probability density at the time of electric vehicle last time returns to target location is obtained, wherein, the third is general
Rate density is used to indicate probability distribution situation at the time of the last side of the electric vehicle returns to the target location；
The third probability density is determined as first probability density.
4. according to the method described in claim 2, it is characterized in that, obtain described the of the day charging duration of the electric vehicle
Two probability density include：
The 4th probability density of the daily travel of the electric vehicle is obtained, wherein, the daily travel is filled with the day
Electric duration is corresponding, and the 4th probability density is used to indicate the probability distribution situation of the daily travel of the electric vehicle；
Second probability density of the day charging duration of the electric vehicle is determined according to the 4th probability density.
5. according to the method described in claim 2, it is characterized in that, the electric vehicle is determined according to the probability distribution information
The desired value of the charge requirement at each time point includes in one day：
Monte Carlo forecast is carried out to the probability distribution information, obtains the electric vehicle in one day each time point
The desired value of charge requirement.
6. according to the method described in claim 2, it is characterized in that, the charge requirement model packet is established according to the desired value
It includes：
The charging workload demand curve of the electric vehicle is obtained according to the desired value, wherein, the charging workload demand is bent
Line is used to indicate the electric vehicle and charges at any time the charging loads of needs；
The charging workload demand curve is determined as the charge requirement model.
7. a kind of charging unit of electric vehicle, which is characterized in that including：
Acquiring unit, for obtaining the charge requirement model of electric vehicle, wherein, the charge requirement model is described for predicting
The charging load that electric vehicle is needed in charging；
Determination unit, for according to the charge requirement model determine the electric vehicle the object time charging in when, need
The target charging load that intermittent energy source provides；
For within the object time, load is charged to described by the target that the intermittent energy source provides for charhing unit
Electric vehicle charges.
8. device according to claim 7, which is characterized in that the acquiring unit includes：
First acquisition module, for obtaining the first probability density that the electric vehicle starts to charge up at any time, wherein, institute
It states the first probability density and is used to indicate the probability distribution situation that the electric vehicle starts to charge up at any time；
Second acquisition module, for obtaining the second probability density of the day of electric vehicle charging duration, wherein, described second
Probability density is used to indicate the probability distribution situation of the day charging duration of the electric vehicle；
First determining module, for determining that the electric vehicle exists according to first probability density and second probability density
The probability distribution information of arbitrary charging moment and charging duration during charging；
Second determining module, for determining the electric vehicle each time point in one day according to the probability distribution information
Charge requirement desired value；
Module is established, for establishing the charge requirement model according to the desired value.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein, it is run in described program
When control the storage medium where electric vehicle in equipment perform claim requirement 1 to 6 described in any one charging method.
10. a kind of processor, which is characterized in that the processor is used to run program, wherein, right of execution when described program is run
Profit requires the charging method of the electric vehicle described in any one in 1 to 6.
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