CN104182595B - A kind of load simulation method and system of charging station group - Google Patents
A kind of load simulation method and system of charging station group Download PDFInfo
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- CN104182595B CN104182595B CN201410468563.3A CN201410468563A CN104182595B CN 104182595 B CN104182595 B CN 104182595B CN 201410468563 A CN201410468563 A CN 201410468563A CN 104182595 B CN104182595 B CN 104182595B
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Abstract
This application discloses a kind of load simulation method and system of charging station group, this method includes：Establish electric motor intelligent body group, simulation time point is arranged to 1, according to the oneself state of a simulation time point and default judgment criterion on each electric car, determine the oneself state of current time each electric car, enter the electric car of battery charging state for the current time of determination, determine the charging zone selected by it, it is determined that in each charging zone electric motor intelligent body number, and with reference to the charge power in each area, draw total charge power of the charging zone, comprehensive three charging zones draw the equivalent load of current time charging station group, finally judge whether simulation time reaches maximum, if, then terminate, otherwise simulation time is added 1, and return to the oneself state step for determining current time each electric motor intelligent body.Present application contemplates the trip status information of electric motor intelligent body so that the equivalent load of the charging station group calculated more presses close to the fact.
Description
Technical field
The application is related to computer modeling technique field, more specifically to a kind of load simulation side of charging station group
Method and system.
Background technology
Electric car is the emerging strategic industries in China as a kind of new energy vehicles.In recent years, in a national system
Under the support of row policy, China achieves very big development in the research and development and production of electric car.The depth of electric car progressively
Enter among daily life.
Along with the development of electric car, the thing followed is the construction of electric motorcar charging station.Charged in existing electric car
In the planning stood, generally use computational methods at full capacity, i.e., electric groove is changed simultaneously with the charging pile and battery of all installations of charging station
Charging load during work represents the load of electric motorcar charging station.This computational methods lack consider electric car it is actual go out every trade
For caused influence, therefore the result drawn is also inaccurate.How in the case where considering the actual operating data of electric car,
The load of electric motorcar charging station group is accurately simulated, and then instructs the construction of a certain regional charging station, has become one
The problem of more and more important.
The content of the invention
In view of this, it is traditional for solving this application provides a kind of load simulation method and system of charging station group
Computational methods at full capacity, lack consider the actual travel behaviour of electric car and caused by analog result accuracy rate it is not high the problem of.
To achieve these goals, it is proposed that scheme it is as follows：
A kind of load simulation method of charging station group, including：
According to the electronic car data obtained in advance, electric motor intelligent body group is established；
Simulation time point is arranged to 1；
According to the oneself state of a simulation time point and pre- on each electric motor intelligent body in the electric motor intelligent body group
If judgment criterion, the oneself state of current time each electric motor intelligent body is determined, the oneself state includes trip state and electricity
Pond charged state；
Enter the electric motor intelligent body of battery charging state for the current time of determination, according to the charging meaning obtained in advance
To probable value, the charging zone selected by it is determined, the charging zone includes fast charge area, trickle charge area and changes battery area；
The number of electric motor intelligent body in each charging zone is determined respectively, and with reference to the charging of each charging zone
Power, total charge power of the charging zone is drawn, total charge power corresponding to comprehensive three charging zones, show that current time charges
Stand the equivalent load of group；
Judge whether simulation time reaches maximum, if it is, terminating, otherwise, by simulation time plus 1, and return to institute
State according to the oneself state of a simulation time point and default trip on each electric motor intelligent body in the electric motor intelligent body group
Judgment criterion, determine the oneself state step of current time each electric motor intelligent body.
Preferably, in addition to：
When the electric motor intelligent body in each charging zone discharges, the electric motor intelligent in all charging zones is counted
The discharge power sum of body, the discharge power sum are defined as the equivalent capacity of current time charging station group.
Preferably, it is described according in the electric motor intelligent body group on each electric motor intelligent body a simulation time point from
Body state and default judgment criterion, determine that the current time oneself state of each electric motor intelligent body includes：
Step S1：Judge whether the upper each electric motor intelligent body of simulation time point is in trip state, if a certain electricity
A simulation time point is in state of not going on a journey on motor-car intelligent body, then performs step S2, otherwise performs step S3；
Step S2：Judge whether upper simulation time point electric motor intelligent body is in battery charging state, if the electricity
A simulation time point is in battery charging state on motor-car intelligent body, then performs step S4, otherwise performs step S5；
Step S3：Judge whether the electric motor intelligent body reaches default trip termination condition, terminate if reaching default trip
Condition, then step S6 is performed, otherwise perform step S7；
Step S6：The trip state for determining electric motor intelligent body current time is not go on a journey；
Step S7：Determine that electric motor intelligent body current time is in trip state；
Step S4：Judge whether the electric motor intelligent body reaches battery end-of-charge condition, if reaching battery charging knot
Beam condition, then step S8 is performed, otherwise perform step S9；
Step S5：Whether the electric motor intelligent body battery dump energy is judged less than default lowest capacity, if less than pre-
If lowest capacity, then step S10 is performed, otherwise perform step S11；
Step S8：Determine that the current time electric motor intelligent body is not in battery charging state, and do not go on a journey；
Step S9：Determine that the current time electric motor intelligent body is in battery charging state, and do not go on a journey；
Step S10：Determine that electric motor intelligent body current time enters battery charging state；
Step S11：With the trip state at the default trip probabilistic determination electric motor intelligent body current time.
Preferably, the default trip termination condition in step S3 includes：Travel time reach default deadline and/
Or battery dump energy is less than the default lowest capacity.
Preferably, the charging purpose probable value that the foundation obtains in advance, determine that each enters battery charging state
Charging zone selected by electric motor intelligent body, it is specially：
Three charging zones for it is full up when, probability P according to the following formulaaDetermine that each enters battery charging state
Charging zone selected by electric motor intelligent body：
When and two other charging zone full up in fast charge area be not full up, probability P according to the following formulaaDetermine that each enters electricity
Charging zone selected by the electric motor intelligent body of pond charged state：
When and two other charging zone full up in trickle charge area be not full up, probability P according to the following formulaaDetermine that each enters electricity
Charging zone selected by the electric motor intelligent body of pond charged state：
When and two other charging zone full up in Huan electricity areas be not full up, probability P according to the following formulaaDetermine that each enters electricity
Charging zone selected by the electric motor intelligent body of pond charged state：
When and two other charging zone not full up in an only charging zone is full up, it is determined that each charges into battery
The charging zone of the electric motor intelligent body selection of state is the not full up charging zone；
When all charging zones are full up, it is determined that each electric motor intelligent body for entering battery charging state enters
Waiting list.
A kind of load simulation system of charging station group, including：
Unit is established, for according to the electronic car data obtained in advance, establishing electric motor intelligent body group；
Simulation time setting unit, for simulation time point to be arranged into 1；
Status determining unit, for according to a simulation time on each electric motor intelligent body in the electric motor intelligent body group
The oneself state of point and default judgment criterion, determine the oneself state of current time each electric motor intelligent body, the oneself state
Including trip state and battery charging state；
Charging zone determining unit, the electric motor intelligent body of battery charging state is entered for pair current time determined, according to
According to the charging purpose probable value obtained in advance, determine the charging zone selected by it, the charging zone include fast charge area, trickle charge area and
Change battery area；
Equivalent load determining unit, for determining the number of electric motor intelligent body in each charging zone respectively, and join
The charge power of each charging zone is examined, total charge power of the charging zone is drawn, is always filled corresponding to comprehensive three charging zones
Electrical power, draw the equivalent load of current time charging station group；
Simulation time judging unit, for judging whether simulation time reaches maximum, if it is, terminate, otherwise, will
Simulation time adds 1 and is back to the status determining unit.
Preferably, in addition to：
Equivalent capacity determining unit, for when the electric motor intelligent body in each charging zone discharges, counting institute
There is the discharge power sum of the electric motor intelligent body in charging zone, the discharge power sum is defined as current time charging station group's
Equivalent capacity.
Preferably, the status determining unit includes：
First judging unit, for judging whether the upper each electric motor intelligent body of simulation time point is in trip state；
Second judging unit, for judging a simulation time point on a certain electric motor intelligent body in first judging unit
In do not go on a journey state when, judge whether upper simulation time point electric motor intelligent body is in battery charging state；
3rd judging unit, for judging a simulation time point on a certain electric motor intelligent body in first judging unit
During in trip state, judge whether the electric motor intelligent body reaches default trip termination condition；
First determining unit, reach default for the judged result in the 3rd judging unit for the electric motor intelligent body
During trip termination condition, the trip state for determining electric motor intelligent body current time is not go on a journey；
Second determining unit, it is not up to pre- for the electric motor intelligent body for the judged result in the 3rd judging unit
When setting out row termination condition, determine that electric motor intelligent body current time is in trip state；
4th judging unit, for being an emulation on the electric motor intelligent body in the judged result of second judging unit
When time point is in battery charging state, judge whether the electric motor intelligent body reaches battery end-of-charge condition；
5th judging unit, for being an emulation on the electric motor intelligent body in the judged result of second judging unit
When time point is not in battery charging state, judge the electric motor intelligent body battery dump energy whether less than default minimum appearance
Amount；
3rd determining unit, reach battery for the judged result in the 4th judging unit for the electric motor intelligent body
During end-of-charge condition, determine that the current time electric motor intelligent body is not in battery charging state, and do not go on a journey；
4th determining unit, electricity is not up to for the electric motor intelligent body for the judged result in the 4th judging unit
During the end-of-charge condition of pond, determine that the current time electric motor intelligent body is in battery charging state, and do not go on a journey；
5th determining unit, for being the electric motor intelligent body remaining battery in the judged result of the 5th judging unit
When electricity is less than default lowest capacity, determine that electric motor intelligent body current time enters battery charging state；
6th determining unit, for being the electric motor intelligent body remaining battery in the judged result of the 5th judging unit
When electricity is not less than default lowest capacity, with the trip state at the default trip probabilistic determination electric motor intelligent body current time.
Preferably, the default trip termination condition includes：Travel time reaches default deadline and/or remaining battery
Electricity is less than the default lowest capacity.
Preferably, the charging zone determining unit includes：
Charging zone judging unit, for judge respectively the fast charge area, the trickle charge area and it is described change battery area whether be
Full up state；
Selecting unit, for being in the judged result of the charging zone judging unit：When three charging zones are not full up,
Probability P according to the following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：
It is in the judged result of the charging zone judging unit：Fast charge area is full up and when two other charging zone is not full up,
Probability P according to the following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：
It is in the judged result of the charging zone judging unit：Trickle charge area is full up and when two other charging zone is not full up,
Probability P according to the following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：
It is in the judged result of the charging zone judging unit：Huan electricity areas are full up and when two other charging zone is not full up,
Probability P according to the following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：
It is in the judged result of the charging zone judging unit：An only charging zone is not full up and two other charging zone
When full up, it is the not full up charging to determine that each enters the charging zone that the electric motor intelligent body of battery charging state selects
Area；
It is in the judged result of the charging zone judging unit：When all charging zones are full up, determine that each enters electricity
The electric motor intelligent body of pond charged state enters waiting list.
It can be seen from the above technical scheme that the load simulation method of charging station group disclosed in the present application, first basis
The electronic car data obtained establishes electric motor intelligent body group, and simulation time point is arranged into 1, according to each in electric motor intelligent body group
The oneself state of a simulation time point and default judgment criterion, determine current time each electric motor intelligent on individual electric motor intelligent body
The oneself state of body, oneself state include trip state and battery charging state, filled for the current time of determination into battery
The electric motor intelligent body of electricity condition, according to the charging purpose probable value obtained in advance, the charging zone selected by it is determined, it is described to fill
Electric area includes fast charge area, trickle charge area and changes battery area, determines the number of electric motor intelligent body in each charging zone respectively, and
With reference to the charge power of each charging zone, total charge power of the charging zone is drawn, is integrated total corresponding to three charging zones
Charge power, draws the equivalent load of current time charging station group, finally judges whether simulation time reaches maximum, if
It is then to terminate, otherwise, by simulation time plus 1, and returns described according to each electric motor intelligent in the electric motor intelligent body group
The oneself state of a simulation time point and default trip judgment criterion on body, determine current time each electric motor intelligent body itself
State step.Analogy method disclosed in the present application, it is contemplated that the trip status information and battery charging state of electric motor intelligent body
Information so that the equivalent load of the charging station group calculated more presses close to the fact, and accuracy rate is higher.
Brief description of the drawings
, below will be to embodiment or existing in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of application, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of load simulation method flow chart of charging station group disclosed in the embodiment of the present application；
Fig. 2 is the load simulation method flow chart of another charging station group disclosed in the embodiment of the present application；
Fig. 3 is a kind of method flow diagram for determining electric motor intelligent body oneself state disclosed in the embodiment of the present application；
Fig. 4 is single motor car intelligent body charging structure schematic diagram disclosed in this implementation；
Fig. 5 is the charging process schematic diagram of charging station disclosed in the present embodiment；
Fig. 6 is a kind of load simulation system structure diagram of charging station group disclosed in the embodiment of the present application；
Fig. 7 is the load simulation system structure diagram of another charging station group disclosed in the embodiment of the present application；
Fig. 8 is a kind of structural representation for status determining unit of going on a journey disclosed in the embodiment of the present application；
Fig. 9 is a kind of charging zone determining unit structural representation disclosed in the embodiment of the present application.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only some embodiments of the present application, rather than whole embodiments.It is based on
Embodiment in the application, those of ordinary skill in the art are obtained all other under the premise of creative work is not paid
Embodiment, belong to the scope of the application protection.
Embodiment one
Referring to Fig. 1, Fig. 1 is a kind of load simulation method flow chart of charging station group disclosed in the embodiment of the present application.
As shown in figure 1, this method includes：
Step 101：According to the electronic car data obtained in advance, electric motor intelligent body group is established；
Specifically, we can obtain certain electronic car data in advance from traffic department, then establish one it is regional
Electric motor intelligent body group, represent the total recoverable amount of this area's electric car.
Step 102：It is 1 to set simulation time point；
Step 103：According in the electric motor intelligent body group on each electric motor intelligent body a simulation time point itself
State and default judgment criterion, determine the oneself state of current time each electric motor intelligent body；
Specifically, the oneself state includes trip state and battery charging state.Trip state includes electric motor intelligent
Body is gone on a journey or not gone on a journey.The battery of battery charging state including electric motor intelligent body is charging or uncharged.
Step 104：Enter the electric motor intelligent body of battery charging state for the current time of determination, according to acquisition in advance
Charging purpose probable value, determine the charging zone selected by it, the charging zone includes fast charge area, trickle charge area and changes battery area；
Specifically, charging station group is provided with three charging zones, respectively fast charge area, trickle charge area and changes battery area, and each
Electric motor intelligent body selects different charging zones to be charged.We can count in advance obtains charging purpose probable value.
Step 105：The number of electric motor intelligent body in each charging zone is determined respectively, and with reference to each charging
The charge power in area, total charge power of the charging zone is drawn, total charge power corresponding to comprehensive three charging zones, is drawn current
The equivalent load of moment charging station group；
Specifically, it is determined that behind charging zone selected by each electric motor intelligent body, count electronic in each charging zone
The number of car intelligent body, the charge power of different charging zones is different, the number of the electric motor intelligent body of each charging zone
It is multiplied with the charge power of the charging zone, you can draw total charge power of the charging zone, then comprehensive three charging zones is total
Charge power, draw the equivalent load of current time charging station group.
Step 106：Judge whether simulation time reaches maximum, if it is, terminating, otherwise, perform step 107：Will
Simulation time adds 1, and is back to step 103：According to an emulation on each electric motor intelligent body in the electric motor intelligent body group
The oneself state at time point and default trip judgment criterion, determine the oneself state of current time each electric motor intelligent body.
The load simulation method of charging station group disclosed in the embodiment of the present application, established first according to the electronic car data of acquisition
Electric motor intelligent body group, simulation time point is arranged to 1, according in electric motor intelligent body group on each electric motor intelligent body it is one imitative
The oneself state at true time point and default judgment criterion, determine the oneself state of current time each electric motor intelligent body, itself shape
State includes trip state and battery charging state, enters the electric motor intelligent of battery charging state for the current time of determination
Body, according to the charging purpose probable value that obtains in advance, determine the charging zone selected by it, the charging zone includes fast charge area, slow
Fill area and change battery area, determine the number of electric motor intelligent body in each charging zone respectively, and with reference to each charging
The charge power in area, total charge power of the charging zone is drawn, total charge power corresponding to comprehensive three charging zones, is drawn current
The equivalent load of moment charging station group, finally judges whether simulation time reaches maximum, if it is, terminate, otherwise, will be imitative
The true time adds 1, and returns described according to a simulation time point on each electric motor intelligent body in the electric motor intelligent body group
Oneself state and default trip judgment criterion, determine the oneself state step of current time each electric motor intelligent body.The application is public
The analogy method opened, it is contemplated that the trip status information and battery charge state information of electric motor intelligent body so that calculate
The equivalent load of charging station group more press close to the fact, accuracy rate is higher.
Embodiment two
Referring to Fig. 2, Fig. 2 is the load simulation method flow chart of another charging station group disclosed in the embodiment of the present application.
As shown in Fig. 2 the present embodiment further increases step 108 on the basis of embodiment one：Described filled when each
When electric motor intelligent body in electric area discharges, the discharge power sum of the electric motor intelligent body in all charging zones is counted, should
Discharge power sum is defined as the equivalent capacity of current time charging station group.
Each charging zone is both provided with charging-discharging conversion device, and when in discharge condition, what we counted is exactly to charge
Stand group discharge power and, namely equivalent capacity.
Embodiment three
Referring to Fig. 3, Fig. 3 is a kind of method flow for determining electric motor intelligent body oneself state disclosed in the embodiment of the present application
Figure.
The step 103 of embodiment one can be realized as follows：
Step S1：Judge whether the upper each electric motor intelligent body of simulation time point is in trip state, if a certain electricity
A simulation time point is in state of not going on a journey on motor-car intelligent body, then performs step S2, otherwise performs step S3；
Step S2：Judge whether upper simulation time point electric motor intelligent body is in battery charging state, if the electricity
A simulation time point is in battery charging state on motor-car intelligent body, then performs step S4, otherwise performs step S5；
Step S3：Judge whether the electric motor intelligent body reaches default trip termination condition, terminate if reaching default trip
Condition, then step S6 is performed, otherwise perform step S7；
Step S6：The trip state for determining electric motor intelligent body current time is not go on a journey；
Step S7：Determine that electric motor intelligent body current time is in trip state；
Step S4：Judge whether the electric motor intelligent body reaches battery end-of-charge condition, if reaching battery charging knot
Beam condition, then step S8 is performed, otherwise perform step S9；
Step S5：Whether the electric motor intelligent body battery dump energy is judged less than default lowest capacity, if less than pre-
If lowest capacity, then step S10 is performed, otherwise perform step S11；
Specifically, default lowest capacity is a value being manually set, can be depending on actual conditions.
Step S8：Determine that the current time electric motor intelligent body is not in battery charging state, and do not go on a journey；
Step S9：Determine that the current time electric motor intelligent body is in battery charging state, and do not go on a journey；
Step S10：Determine that electric motor intelligent body current time enters battery charging state；
Step S11：With the trip state at the default trip probabilistic determination electric motor intelligent body current time.
Specifically, presetting trip probability can be determined by following formula：
Wherein, vehicle driving rate can be obtained by the statistical results of relevant departments, and simulation time step-length is that we can be with
Sets itself.
By said process, it may be determined that trip state and battery the charging shape of each electric motor intelligent body of current time
State, supported subsequently to determine that the oneself state of each electric motor intelligent body provides data.
Current time is filtered out into the electric motor intelligent body of battery charging state by said process, and then performs step
104 and later step.
Referring to Fig. 4, Fig. 4 is single motor car intelligent body charging structure schematic diagram disclosed in this implementation.Electric motor intelligent body
Including two states of state and non-trip state of going on a journey, judged between trip state and non-trip state by above-mentioned flow.
When electric motor intelligent body is in non-trip state, starting state determining device, cell operating status is carried out according to above-mentioned flow
Judge, battery there are two working conditions, and one is the non-charged state of battery, and another is battery charging state.In charged state
When, fast charge area, trickle charge area and Huan electricity areas can be selected.In non-charged state, battery drain state and battery can be divided into again
Non- power consumption state.For example, when electric car is in transport condition, battery is in power consumption state.
It should be noted that it is above-mentioned it is default trip termination condition can reach including the travel time default deadline with/
Or battery dump energy is less than the default lowest capacity.It can individually consider whether to reach default deadline, if reached
To default deadline, then it is assumed that it reaches trip termination condition, and current time, this revert to state of not going on a journey.Can also be individually
Consider that the battery dump energy of electric motor intelligent body whether less than default lowest capacity, if less than default lowest capacity, is recognized
For the electric motor intelligent body current time, this revert to state of not going on a journey.It is, of course, also possible to consider above-mentioned two factor, give
Go out final trip state.
Example IV
The specific implementation of the step 104 in embodiment one is introduced in the present embodiment：
Following several situations be present, we introduce respectively：
First, we first introduce a concept, i.e. charging zone is full up：Electric motor intelligent body may be selected in charge and discharge power station three kinds
Charging modes.For fast charge mode and trickle charge mode, every kind of charging modes have one piece of special charging zone, each charging zone
Limited by maximum charging vehicle number simultaneously.When charging vehicle number is equal to maximum charging vehicle number simultaneously, the charging zone is full up.Just
Change for electrically, the charging zone is limited by standby rechargeable battery number.When standby rechargeable battery number is 0, the charging zone
To be full up.
1st, three charging zones for it is full up when, probability P according to the following formulaaDetermine that each enters battery charging state
Electric motor intelligent body selected by charging zone：
2nd, when full up in fast charge area and two other charging zone is not full up, probability P according to the following formulaaDetermine each entrance
Charging zone selected by the electric motor intelligent body of battery charging state：
3rd, when full up in trickle charge area and two other charging zone is not full up, probability P according to the following formulaaDetermine each entrance
Charging zone selected by the electric motor intelligent body of battery charging state：
4th, when full up in Huan electricity areas and two other charging zone is not full up, probability P according to the following formulaaDetermine each entrance
Charging zone selected by the electric motor intelligent body of battery charging state：
5th, when not full up in an only charging zone and two other charging zone is full up, it is determined that each fills into battery
The charging zone of the electric motor intelligent body selection of electricity condition is the not full up charging zone；
6th, when all charging zones are full up, it is determined that each electric motor intelligent body for entering battery charging state enters
Enter waiting list.
Wherein, Pf、Ps、PcIt can be known by current material.
Referring to Fig. 5, Fig. 5 is the charging process schematic diagram of charging station disclosed in the present embodiment.Judge to need through state judging
The battery that enter charged state enters waiting list, and each battery is according to above-mentioned probability PaTo select fast charge area, trickle charge area
Huo Huan electricity areas, there is upper limit amount in three areas respectively, and when full up in some area, probability of the battery selection into the area is 0.
There is discharge and recharge conversion signal in each area, then when conversion signal is charges, you can charged with the battery to each charge position, can
To count the equivalent load of charging station.And when discharge and recharge conversion signal is discharges, all batteries enter discharge condition, now
What is counted is the equivalent capacity of charging station.Battery enters off working state after being stood out from charging.
Embodiment five
Referring to Fig. 6, Fig. 6 is a kind of load simulation system structure diagram of charging station group disclosed in the embodiment of the present application.
As shown in fig. 6, the system includes：
Unit 61 is established, for according to the electronic car data obtained in advance, establishing electric motor intelligent body group；
Simulation time setting unit 62, for simulation time point to be arranged into 1；
Status determining unit 63, for according in the electric motor intelligent body group on each electric motor intelligent body one emulation when
Between the oneself state put and default judgment criterion, determine the oneself state of current time each electric motor intelligent body, itself shape
State includes trip state and battery charging state；
Charging zone determining unit 64, the electric motor intelligent body of battery charging state is entered for pair current time determined,
According to the charging purpose probable value obtained in advance, the charging zone selected by it is determined, the charging zone includes fast charge area, trickle charge area
With change battery area；
Equivalent load determining unit 65, for determining the number of electric motor intelligent body in each charging zone respectively, and
With reference to the charge power of each charging zone, total charge power of the charging zone is drawn, is integrated total corresponding to three charging zones
Charge power, draw the equivalent load of current time charging station group；
Simulation time judging unit 66, for judging whether simulation time reaches maximum, if it is, terminate, otherwise,
By simulation time plus 1 and it is back to the status determining unit 63.
The load simulation system is mutually corresponding with the load simulation method of embodiment one, and detailed schematic refers to implementation
The introduction of example one.
The load simulation system of charging station group disclosed in the embodiment of the present application, established first according to the electronic car data of acquisition
Electric motor intelligent body group, simulation time point is arranged to 1, according in electric motor intelligent body group on each electric motor intelligent body it is one imitative
The oneself state at true time point and default judgment criterion, determine the oneself state of current time each electric motor intelligent body, itself shape
State includes trip state and battery charging state, enters the electric motor intelligent of battery charging state for the current time of determination
Body, according to the charging purpose probable value that obtains in advance, determine the charging zone selected by it, the charging zone includes fast charge area, slow
Fill area and change battery area, determine the number of electric motor intelligent body in each charging zone respectively, and with reference to each charging
The charge power in area, total charge power of the charging zone is drawn, total charge power corresponding to comprehensive three charging zones, is drawn current
The equivalent load of moment charging station group, finally judges whether simulation time reaches maximum, if it is, terminate, otherwise, will be imitative
The true time adds 1, and returns described according to a simulation time point on each electric motor intelligent body in the electric motor intelligent body group
Oneself state and default trip judgment criterion, determine the oneself state step of current time each electric motor intelligent body.The application is public
The simulation system opened, it is contemplated that the trip status information and battery charge state information of electric motor intelligent body so that calculate
The equivalent load of charging station group more press close to the fact, accuracy rate is higher.
Embodiment six
Referring to Fig. 7, the load simulation system architecture that Fig. 7 is another charging station group disclosed in the embodiment of the present application is illustrated
Figure.
As shown in fig. 7, the present embodiment further increases equivalent capacity determining unit 71 on the basis of a upper embodiment,
For when the electric motor intelligent body in each charging zone discharges, counting the electric motor intelligent body in all charging zones
Discharge power sum, the discharge power sum are defined as the equivalent capacity of current time charging station group.
Embodiment seven
Referring to Fig. 8, Fig. 8 is a kind of structural representation for status determining unit of going on a journey disclosed in the embodiment of the present application.
As shown in figure 8, status determining unit 63 can include：
First judging unit 6301, for judging the upper each electric motor intelligent body of simulation time point whether in trip shape
State；
Second judging unit 6302, for judging on a certain electric motor intelligent body that one is imitative in first judging unit 6301
True time point is in when not going on a journey state, judges whether upper simulation time point electric motor intelligent body charges shape in battery
State；
3rd judging unit 6303, for judging on a certain electric motor intelligent body that one is imitative in first judging unit 6301
When true time point is in trip state, judge whether the electric motor intelligent body reaches default trip termination condition；
Specifically, the default trip termination condition includes：Travel time reaches default deadline and/or remaining battery
Electricity is less than the default lowest capacity.
First determining unit 6304, for being the electric motor intelligent body in the judged result of the 3rd judging unit 6303
When reaching default trip termination condition, the trip state for determining electric motor intelligent body current time is not go on a journey；
Second determining unit 6305, for being the electric motor intelligent body in the judged result of the 3rd judging unit 6303
When not up to presetting trip termination condition, determine that electric motor intelligent body current time is in trip state；
4th judging unit 6306, for being the electric motor intelligent body in the judged result of second judging unit 6302
When upper simulation time point is in battery charging state, judge whether the electric motor intelligent body reaches battery end-of-charge condition；
5th judging unit 6307, for being the electric motor intelligent body in the judged result of second judging unit 6302
When upper simulation time point is not in battery charging state, judge the electric motor intelligent body battery dump energy whether less than default
Lowest capacity；
3rd determining unit 6308, for being the electric motor intelligent body in the judged result of the 4th judging unit 6306
When reaching battery end-of-charge condition, determine that the current time electric motor intelligent body is not in battery charging state, and do not go on a journey；
4th determining unit 6309, for being the electric motor intelligent body in the judged result of the 4th judging unit 6306
Not up to battery end-of-charge condition when, determine that the current time electric motor intelligent body is in battery charging state, and do not go on a journey；
5th determining unit 6310, for being the electric motor intelligent body in the judged result of the 5th judging unit 6307
When battery dump energy is less than default lowest capacity, determine that electric motor intelligent body current time enters battery charging state；
6th determining unit 6311, for being the electric motor intelligent body in the judged result of the 5th judging unit 6307
When battery dump energy is not less than default lowest capacity, with going out for the default trip probabilistic determination electric motor intelligent body current time
Row state.
Embodiment eight
Referring to Fig. 9, Fig. 9 is a kind of charging zone determining unit structural representation disclosed in the embodiment of the present application.
As shown in figure 9, the charging zone determining unit 64 can include：
Charging zone judging unit 641, for judging the fast charge area, the trickle charge area respectively and described whether changing battery area
For full up state；
Selecting unit 642, for performing following processes：
It is in the judged result of the charging zone judging unit 641：When three charging zones are not full up, according to the following formula
Probability PaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：
It is in the judged result of the charging zone judging unit 641：Fast charge area is full up and two other charging zone is not full up
When, probability P according to the following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：
It is in the judged result of the charging zone judging unit 641：Trickle charge area is full up and two other charging zone is not full up
When, probability P according to the following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：
It is in the judged result of the charging zone judging unit 641：Huan electricity areas are full up and two other charging zone is not full up
When, probability P according to the following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：
It is in the judged result of the charging zone judging unit 641：Only one charging zone is not full up and two other fills
When electric area is full up, determine that each enters charging zone that the electric motor intelligent body of battery charging state selects and not full up filled for this
Electric area；
It is in the judged result of the charging zone judging unit 641：When all charging zones are full up, each entrance is determined
The electric motor intelligent body of battery charging state enters waiting list.
Finally, it is to be noted that, herein, such as first and second or the like relational terms be used merely to by
One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation
Between any this actual relation or order be present.Moreover, term " comprising ", "comprising" or its any other variant meaning
Covering including for nonexcludability, so that process, method, article or equipment including a series of elements not only include that
A little key elements, but also the other element including being not expressly set out, or also include for this process, method, article or
The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged
Except other identical element in the process including the key element, method, article or equipment being also present.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.
The foregoing description of the disclosed embodiments, professional and technical personnel in the field are enable to realize or using the application.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments in the case where not departing from spirit herein or scope.Therefore, the application
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (10)
- A kind of 1. load simulation method of charging station group, it is characterised in that including：According to the electronic car data obtained in advance, electric motor intelligent body group is established；Simulation time point is arranged to 1；According to the oneself state of a simulation time point is sentenced with default on each electric motor intelligent body in the electric motor intelligent body group Disconnected criterion, the oneself state of current time each electric motor intelligent body is determined, the oneself state includes trip state and battery fills Electricity condition；Enter the electric motor intelligent body of battery charging state for the current time of determination, it is general according to the charging purpose obtained in advance Rate value, determines the charging zone selected by it, and the charging zone includes fast charge area, trickle charge area and changes battery area；The number of electric motor intelligent body in each charging zone is determined respectively, and with reference to the charging work(of each charging zone Rate, total charge power of the charging zone is drawn, total charge power corresponding to comprehensive three charging zones, draws current time charging station The equivalent load of group；Judge whether simulation time reaches maximum, if it is, terminating, otherwise, by simulation time plus 1, and return to described Judge according to the oneself state and default trip of a simulation time point on each electric motor intelligent body in the electric motor intelligent body group Criterion, determine the oneself state step of current time each electric motor intelligent body.
- 2. load simulation method according to claim 1, it is characterised in that also include：When the electric motor intelligent body in each charging zone discharges, electric motor intelligent body in all charging zones is counted Discharge power sum, the discharge power sum are defined as the equivalent capacity of current time charging station group.
- 3. load simulation method according to claim 1 or 2, it is characterised in that described according to the electric motor intelligent body The oneself state of a simulation time point and default judgment criterion on each electric motor intelligent body in group, determine that current time is each electronic The oneself state of car intelligent body includes：Step S1：Judge whether the upper each electric motor intelligent body of simulation time point is in trip state, if a certain electric car A simulation time point is in state of not going on a journey on intelligent body, then performs step S2, otherwise performs step S3；Step S2：Judge whether upper simulation time point electric motor intelligent body is in battery charging state, if the electric car A simulation time point is in battery charging state on intelligent body, then performs step S4, otherwise performs step S5；Step S3：Judge whether the electric motor intelligent body reaches default trip termination condition, if reaching default trip termination condition, Step S6 is then performed, otherwise performs step S7；Step S6：The trip state for determining electric motor intelligent body current time is not go on a journey；Step S7：Determine that electric motor intelligent body current time is in trip state；Step S4：Judge whether the electric motor intelligent body reaches battery end-of-charge condition, if reaching battery charging terminates bar Part, then step S8 is performed, otherwise perform step S9；Step S5：Judge that the electric motor intelligent body battery dump energy whether less than default lowest capacity, is preset most if be less than Low capacity, then step S10 is performed, otherwise perform step S11；Step S8：Determine that the current time electric motor intelligent body is not in battery charging state, and do not go on a journey；Step S9：Determine that the current time electric motor intelligent body is in battery charging state, and do not go on a journey；Step S10：Determine that electric motor intelligent body current time enters battery charging state；Step S11：With the trip state at the default trip probabilistic determination electric motor intelligent body current time.
- 4. load simulation method according to claim 3, it is characterised in that the default trip in step S3 terminates bar Part includes：Travel time reaches default deadline and/or battery dump energy is less than the default lowest capacity.
- 5. load simulation method according to claim 1, it is characterised in that the charging purpose that the foundation obtains in advance is general Rate value, the charging zone selected by each electric motor intelligent body for entering battery charging state is determined, is specially：Three charging zones for it is full up when, probability P according to the following formulaaDetermine that each enters the electronic of battery charging state Charging zone selected by car intelligent body：When and two other charging zone full up in fast charge area be not full up, probability P according to the following formulaaDetermine that each fills into battery Charging zone selected by the electric motor intelligent body of electricity condition：When and two other charging zone full up in trickle charge area be not full up, probability P according to the following formulaaDetermine that each fills into battery Charging zone selected by the electric motor intelligent body of electricity condition：When and two other charging zone full up in Huan electricity areas be not full up, probability P according to the following formulaaDetermine that each fills into battery Charging zone selected by the electric motor intelligent body of electricity condition：When and two other charging zone not full up in an only charging zone is full up, it is determined that each enters battery charging state Electric motor intelligent body selection charging zone be the not full up charging zone；When all charging zones are full up, it is determined that each electric motor intelligent body for entering battery charging state, which enters, to be waited Queue.
- A kind of 6. load simulation system of charging station group, it is characterised in that including：Unit is established, for according to the electronic car data obtained in advance, establishing electric motor intelligent body group；Simulation time setting unit, for simulation time point to be arranged into 1；Status determining unit, for according to a simulation time point on each electric motor intelligent body in the electric motor intelligent body group Oneself state and default judgment criterion, determine the oneself state of current time each electric motor intelligent body, and the oneself state includes Trip state and battery charging state；Charging zone determining unit, the electric motor intelligent body of battery charging state is entered for pair current time determined, according to pre- The charging purpose probable value first obtained, determines the charging zone selected by it, and the charging zone includes fast charge area, trickle charge area and changes electricity Chi Qu；Equivalent load determining unit, for determining the number of electric motor intelligent body in each charging zone respectively, and with reference to every The charge power of the individual charging zone, draw total charge power of the charging zone, total charging work(corresponding to comprehensive three charging zones Rate, draw the equivalent load of current time charging station group；Simulation time judging unit, for judging whether simulation time reaches maximum, if it is, terminating, otherwise, it will emulate Time adds 1 and is back to the status determining unit.
- 7. load simulation system according to claim 6, it is characterised in that also include：Equivalent capacity determining unit, for when the electric motor intelligent body in each charging zone discharges, counting all and filling The discharge power sum of electric motor intelligent body in electric area, the discharge power sum are defined as the equivalent of current time charging station group Capacity.
- 8. the load simulation system according to claim 6 or 7, it is characterised in that the status determining unit includes：First judging unit, for judging whether the upper each electric motor intelligent body of simulation time point is in trip state；Second judging unit, for judging that a simulation time point is on a certain electric motor intelligent body in first judging unit During state of not going on a journey, judge whether upper simulation time point electric motor intelligent body is in battery charging state；3rd judging unit, for judging that a simulation time point is on a certain electric motor intelligent body in first judging unit During trip state, judge whether the electric motor intelligent body reaches default trip termination condition；First determining unit, reach default trip for the judged result in the 3rd judging unit for the electric motor intelligent body During termination condition, the trip state for determining electric motor intelligent body current time is not go on a journey；Second determining unit, not up to set out in advance for the electric motor intelligent body for the judged result in the 3rd judging unit During row termination condition, determine that electric motor intelligent body current time is in trip state；4th judging unit, for being a simulation time on the electric motor intelligent body in the judged result of second judging unit When point is in battery charging state, judge whether the electric motor intelligent body reaches battery end-of-charge condition；5th judging unit, for being a simulation time on the electric motor intelligent body in the judged result of second judging unit When point is not in battery charging state, judge the electric motor intelligent body battery dump energy whether less than default lowest capacity；3rd determining unit, reach battery charging for the judged result in the 4th judging unit for the electric motor intelligent body During termination condition, determine that the current time electric motor intelligent body is not in battery charging state, and do not go on a journey；4th determining unit, filled for being not up to battery in the judged result of the 4th judging unit for the electric motor intelligent body During electric termination condition, determine that the current time electric motor intelligent body is in battery charging state, and do not go on a journey；5th determining unit, for being the electric motor intelligent body battery dump energy in the judged result of the 5th judging unit During less than default lowest capacity, determine that electric motor intelligent body current time enters battery charging state；6th determining unit, for being the electric motor intelligent body battery dump energy in the judged result of the 5th judging unit During not less than default lowest capacity, with the trip state at the default trip probabilistic determination electric motor intelligent body current time.
- 9. load simulation system according to claim 8, it is characterised in that the default trip termination condition includes：Go out The row time reaches default deadline and/or battery dump energy is less than the default lowest capacity.
- 10. load simulation system according to claim 6, it is characterised in that the charging zone determining unit includes：Charging zone judging unit, for judging the fast charge area, the trickle charge area respectively and described changing whether battery area is full up State；Selecting unit, for being in the judged result of the charging zone judging unit：When three charging zones are not full up, according to The probability P of following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：It is in the judged result of the charging zone judging unit：Fast charge area is full up and when two other charging zone is not full up, according to The probability P of following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：It is in the judged result of the charging zone judging unit：Trickle charge area is full up and when two other charging zone is not full up, according to The probability P of following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：It is in the judged result of the charging zone judging unit：Huan electricity areas are full up and when two other charging zone is not full up, according to The probability P of following formulaaDetermine the charging zone selected by each electric motor intelligent body for entering battery charging state：It is in the judged result of the charging zone judging unit：Only one charging zone is not full up and two other charging zone is full up When, it is the not full up charging zone to determine that each enters the charging zone that the electric motor intelligent body of battery charging state selects；It is in the judged result of the charging zone judging unit：When all charging zones are full up, determine that each fills into battery The electric motor intelligent body of electricity condition enters waiting list.
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| CN105608543B (en) * | 2016-03-16 | 2019-03-26 | 福建工程学院 | Charging station power distributing amount configuration method |
| CN106159360B (en) * | 2016-06-28 | 2018-08-03 | 合肥工业大学 | A kind of electric vehicle charging method based on mobile charger pattern |
| CN109066745B (en) * | 2018-08-09 | 2022-03-15 | 蔚来(安徽)控股有限公司 | Electric energy storage system and operation control method, device and system thereof |
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