CN106447129A - High-efficiency charging station recommendation method based on quick charging piles - Google Patents
High-efficiency charging station recommendation method based on quick charging piles Download PDFInfo
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Abstract
The invention provides a high-efficiency charging station recommendation method based on quick charging piles. The high-efficiency charging station recommendation method is characterized by comprising the following steps that 1, the charging piles of all charging stations upload charging information including electric car VIN codes of electric cars being charged to a charging pile internet server; 2, a user intelligent terminal is connected with an electric car trip computer through a wireless communication module and connected into a recommendation system through a mobile communication network or WiFi, transmits the electric car VIN codes to the real-time prediction server and uploads GPS position information of an electric car to the real-time prediction server in real time; 3, the real-time prediction server counts the electric car charging conversion rates of the j<th> charging station at different distances and different time points according to the GPS position information uploaded by the user intelligent terminal; 4, the real-time prediction server calculates the speed per hour of the i<th> uncharged electric car according to the GPS position information uploaded by the user intelligent terminal; 5, a real-time prediction server calculates the predicted queueing time of the charging stations; 6, for the charging car initiating a charging station prediction request through a user intelligent terminal, the real-time prediction server calculates the estimated time Tj(t) that the electric car reaches each charging station; 7, the real-time prediction server returns the predicted charging starting moment and the predicted waiting time of each charging station to the user intelligent terminal requesting for prediction. According to the high-efficiency charging station recommendation method, the queueing time can be effectively shortened, the time of a driver can be saved, and the using efficiency of the charging piles can be improved.
Description
Technical field
The invention belongs to electric motor car and charging station control management domain, particularly to a kind of efficient based on quick charge stake
Method recommended by the charging station of rate.
Background technology
The recommendation of existing charging pile is all based on preengaging and the state of existing charging pile is judged, and carries to user
Inquiry for charging pile and reservation.Substantially reservation is all based on the reservation of time slice.
The charging pile of exchanging trickle charge is all generally more than 6 hours, and the charging pile of direct current charge is at least also required to half
More than individual hour, existing charging pile is recommended and reservation technology, can effectively improve the service efficiency of these charging piles.But it is right
The electric automobile being full of at 10 minutes about in up-to-date high power direct current charge charging pile and support quick charge comes
Say, charge just and present oiling is the same convenient, most probable use scene is that queuing at the scene is charged, with to filling,
Do not need to preengage.
Content of the invention
The goal of the invention of the present invention is to provide a kind of efficient charging pile recommendation method based on quick charge stake, can
Effectively reduce queuing time, save the time of driver and the service efficiency of raising charging pile.Can also provide the user
More autonomous selection, reduces queue length, improves the utilization rate of charging pile.
The concrete technical scheme of the present invention is a kind of efficient charging station recommendation method based on quick charge stake, adopts
Including the commending system of electric automobile car running computer, the composition of user's intelligent terminal, real-time estimate server and charging station, described
Charging station include charging pile and the charging pile webserver it is characterised in that comprising the following steps：
Step one：The charging pile of each charging station by the electric automobile charging inclusion electric automobile VIN code charging
Information is uploaded to the charging pile webserver, and is transferred to real-time estimate server by the charging pile webserver；
Step 2：User's intelligent terminal is connected by wireless communication module with electric automobile car running computer, by movement
Communication network or WiFi access commending system, electric automobile VIN code is transferred to real-time estimate server, and is uploaded in real time
The GPS position information of real-time estimate this electric motor car of server；
Step 3：The GPS position information that real-time estimate server uploads according to user's intelligent terminal, temporally node statistics
J-th charging station in the charging electric vehicle conversion ratio of different distances and different timing nodes,
From the beginning of 0 point of one day, with 10 minutes for cycle statistics uncharged electric automobile number within this charging station 50m
AmountWherein t1For current time during statistics, counting moment t1In 30 minutes afterwards, collection existsIt is actually transferred to the quantity of Rechargeable vehicle charging in quantityWhen obtaining statistics
Carve t1Charging electric vehicle conversion ratio It is calculatedFor
Within this charging station 50m, including statistics moment t1This statistics moment t of first 30 days of the same day1Average charging electric vehicle turns
Rate,
From the beginning of 0 point of one day, counted with 15 minutes outside this charging station 50m for the cycle and not filling within 1km
The electric automobile quantity of electricityIn statistics moment t2In 30 minutes afterwards, collection existsActual in quantity
It is converted into the quantity of the Rechargeable vehicle chargingObtain counting moment t2Charging electric vehicle conversion
RateIt is calculatedBe outside this charging station 50m simultaneously
Within 1km, including statistics moment t2This statistics moment t of first 30 days of the same day2Average charging electric vehicle conversion ratio,
From the beginning of 0 point of one day, counted with 30 minutes outside this charging station 1km for the cycle and not filling within 10km
The electric automobile quantity of electricityIn statistics moment t3In 60 minutes afterwards, collection existsActual in quantity
It is converted into the quantity of the Rechargeable vehicle chargingObtain counting moment t3Charging electric vehicle conversion
RateIt is calculatedBe outside this charging station 1km simultaneously
Within 10km, including statistics moment t3This statistics moment t of first 30 days of the same day3Average charging electric vehicle conversion ratio,
From the beginning of 0 point of one day, with 60 minutes for cycle statistics outside this charging station 10km and within 50km not
The electric automobile quantity chargingIn statistics moment t4In 90 minutes afterwards, collection existsReal in quantity
Border is converted into the quantity of the Rechargeable vehicle chargingObtain counting moment t4Charging electric vehicle
Conversion ratio It is calculatedBe away from this charging station 10km it
Outward and within 50km, including statistics moment t4This statistics moment t of first 30 days of the same day4Average charging electric vehicle conversion ratio；
Step 4：The GPS position information that real-time estimate server uploads according to user's intelligent terminal, calculates uncharged
I-th electric automobile speed per hour ViIf, DijFor the distance away from j-th charging station for i-th electric automobile, if t is current time,
It is calculated Dij≤ 50m and ViThe quantity of the uncharged electric automobile of≤5km/h, is designated as j-th charging station
Queuing radix Q1 in real timej(t),
It is calculated 50m<DijThe quantity of the uncharged electric automobile of≤1km and electrical automobile speed per hour of not rationing the power supply, is designated as
J-th charging station queuing radix Q2 in real timej(t),
It is calculated 1km<DijThe quantity of the uncharged electric automobile of≤10km and electrical automobile speed per hour of not rationing the power supply, is designated as
J-th charging station queuing radix Q3 in real timej(t),
It is calculated 10km<DijThe quantity of the uncharged electric automobile of≤50km and electrical automobile speed per hour of not rationing the power supply, note
For j-th charging station queuing radix Q4 in real timej(t)；
Step 5：Real-time estimate server calculates the prediction queuing duration of each charging station in real time,
If T1j(t)It is the prediction queuing duration of the uncharged automobile within this charging station 50m, if T2j(t)It is away from this charging
Stand outside 50m and uncharged automobile within 1km prediction queuing duration, if T3j(t)Be outside this charging station 1km and
The prediction queuing duration of the uncharged automobile within 10km, if T4j(t)It is outside this charging station 10km and within 50km
The prediction queuing duration of uncharged automobile,
T1j(t)、T2j(t)、T3j(t)And T4j(t)Press formula (I), (II), (III) and (IV) respectively to calculate,
Upper formula (I), (II), in (III) and (IV), t1、t2、t3And t4Obtaining value method be, with nearest away from current time
The statistics moment chooses t1、t2、t3And t4Value, a represents charging station average charge duration for constant, by nearest the one of this charging station
After individual month charging total duration is divided by Rechargeable vehicle quantity, then obtain divided by the quantity of this charging station charging pile；
Step 6：For the Rechargeable vehicle initiating charging station predictions request by user's intelligent terminal, real-time estimate service
Device is calculated the scheduled time T that this electric automobile reaches each charging station firstj(t),
If Tj(t)≤t+T1j(t), then the moment starting to charge up of this electric automobile prediction is t+T1j(t), when needing to wait
Between be predicted as t+T1j(t)-Tj(t),
If t+T1j(t)<Tj(t)≤t+T2j(t), then the moment starting to charge up of this electric automobile prediction is t+T2j(t), need
Stand-by period to be predicted as t+T2j(t)-Tj(t),
If t+T2j(t)<Tj(t)≤t+T3j(t), then the moment starting to charge up of this electric automobile prediction is t+T3j(t), need
Stand-by period to be predicted as t+T3j(t)-Tj(t),
If t+T3j(t)<Tj(t)≤t+T4j(t), then the moment starting to charge up of this electric automobile prediction is t+T4j(t), need
Stand-by period to be predicted as t+T4j(t)-Tj(t),
If t+T4j(t)<Tj(t), then the moment starting to charge up of this electric automobile prediction is t+Tj(t), need the stand-by period
It is predicted as 0；
Step 7：The moment starting to charge up and the stand-by period of prediction that each charging station is predicted by real-time estimate server
Return to request prediction user's intelligent terminal, user's intelligent terminal according to the prediction latency time receiving from be short to length carry out right
Charging station is ranked up.
The invention has the beneficial effects as follows the present invention's recommends method based on the efficient charging pile of quick charge stake, in electricity
Electrical automobile, when needing to charge, can be recommended just chargeable when can reach in course continuation mileage under current electric quantity to driver
The probability distribution of charging pile list, can effectively reduce queuing time, save the time of driver and the use of raising charging pile
Efficiency.More autonomous selection can be provided the user, user can be according to the time of oneself, in conjunction with the direction advanced, independently
Decision be charged in that charging station, can also improve the queuing efficiency of charging pile simultaneously, reduce queue length, raising is filled
The utilization rate of electric stake, can be effectively saved the time of user and reduce charging station congestion.
Brief description
Fig. 1 is the flow chart recommending method based on the efficient charging station of quick charge stake using the present invention；
Fig. 2 is the group of the commending system recommending method using the present invention based on the efficient charging station of quick charge stake
Become schematic diagram.
Specific embodiment
With reference to Figure of description, technical scheme is further described.
Intelligent charging spot 3 is connected by WLAN with charging pile server 2, and intelligent charging spot 3 passes through charge port and fills
The electric automobile 6 of electricity is connected, and obtains the charge information of electric automobile, including VIN code etc..Charging pile server 2 pass through WLAN with
Real-time estimate server is connected.
User's intelligent terminal 5 is connected by wireless communication module with electric automobile car running computer 4, and obtains electric automobile
VIN code simultaneously passes through to obtain GPS information, connects real-time estimate server 1 by mobile communications network or WiFi, by electric automobile
VIN code and GPS information are transferred to real-time estimate server 1.
One current course continuation mileage of the electric automobile 6 travelling on the way is 100 kilometers, and current time t is 8:42, user
Charging station predictions request is initiated by intelligent terminal 5, real-time estimate server 1 inquires about charging station in the range of course continuation mileage and pre-
Meter arrival time can obtain charging station list and corresponding E.T.A is as follows：
| Charging station | E.T.A |
| Station1 | 8:50 |
| Station2 | 9:15 |
| Station3 | 10:36 |
E.T.A can by implementing predictive server according to the position of electric automobile, using prior art some
Commerce services just can obtain, just built-in such service in such as some navigation softwares.
Real-time estimate server 1 obtains the row of above-mentioned 3 charging stations according to the gps data that currently all electric automobiles report
Radix Q1, Q2, Q3, Q4 are as follows for team：
| Charging station | Q1 | Q2 | Q3 | Q4 |
| Station1 | 5 | 10 | 5 | 20 |
| Station2 | 4 | 8 | 5 | 10 |
| Station3 | 3 | 2 | 5 | 12 |
Obtain electric automobile gps data and the charge data with above-mentioned 3 charging stations of 30 days, can be calculated by formula
Obtain 3 charging stations above-mentioned E.T.A in the corresponding moment average charging electric vehicle conversion ratio P1, P2, P3, P4 such as
Under：
| Charging station | Moment | P1 | P2 | P3 | P4 |
| Station1 | 8：50 | 50% | 80% | 80% | 70% |
| Station2 | 9：15 | 70% | 70% | 90% | 70% |
| Station3 | 10：36 | 80% | 70% | 60% | 50% |
Can be obtained by the charge data of nearest 30 days above-mentioned 3 charging stations average charge when long constant a as follows：
Estimated queuing duration T1, T2, T3, T4 data being calculated 3 charging stations according to formula is as follows：
| Charging station | T1 (minute) | T2 (minute) | T3 (minute) | T4 (minute) |
| Station1 | 12.5 | 52.5 | 72.5 | 142.5 |
| Station2 | 4.2 | 15.4 | 24.4 | 38.4 |
| Station3 | 24 | 38 | 68 | 128 |
It is expected to reach the prediction queuing duration of the charging interval of 3 charging stations and 3 charging stations according to electric automobile, permissible
Judge that electric automobile meets the following condition of 3 charging stations, and can be started to charge up according to the computing formula of respective conditions
Moment and need the stand-by period：
| Charging station | Meet condition | Start to charge up the moment | Need the stand-by period (minute) |
| Station1 | Tj(t)≤t+T1j(t) | 9:02 | 12 |
| Station2 | t+T3j(t)<Tj(t)≤t+T4j(t) | 9:20 | 5 |
| Station3 | t+T3j(t)<Tj(t)≤t+T4j(t) | 10:50 | 14 |
The queuing result of charging station that intelligent terminal 5 obtains is：
[{“StationName”:”Station1”,”Waiting”:5,”PossibleChargingTime”:”9：
20 " },
{“StationName”:”Station2”,”Waiting”:12,”PossibleChargingTime”:”9：
02 " },
{“StationName”:”Station3”,”Waiting”:14,”PossibleChargingTime”:”10：
50”}]
Returning result that user shows according to intelligent terminal 5 (possible stand-by period, the time may be started to charge up), in conjunction with from
Oneself traffic route is autonomous to determine charging station to be gone.
Claims (1)
1. a kind of efficient charging station recommendation method based on quick charge stake, using inclusion electric automobile car running computer, use
The commending system of the composition of family intelligent terminal, real-time estimate server and charging station, described charging station includes charging pile and fills
The electric stake webserver is it is characterised in that comprise the following steps：
Step one：The charging pile of each charging station by the electric automobile charging inclusion electric automobile VIN code charge information
It is uploaded to the charging pile webserver, and transferred to real-time estimate server by the charging pile webserver；
Step 2：User's intelligent terminal is connected by wireless communication module with electric automobile car running computer, by mobile communication
Network or WiFi access commending system, and electric automobile VIN code is transferred to real-time estimate server, and are uploaded in real time in real time
The GPS position information of this electric motor car of predictive server；
Step 3：The GPS position information that real-time estimate server uploads according to user's intelligent terminal, temporally node statistics jth
Individual charging station in the charging electric vehicle conversion ratio of different distances and different timing nodes,
From the beginning of 0 point of one day, with 10 minutes for cycle statistics uncharged electric automobile quantity within this charging station 50mWherein t1For current time during statistics, counting moment t1In 30 minutes afterwards, collection exists
It is actually transferred to the quantity of Rechargeable vehicle charging in quantityObtain counting moment t1Electronic
Automobile charging conversion ratio It is calculatedIt is away from this charging
Stand within 50m, including statistics moment t1This statistics moment t of first 30 days of the same day1Average charging electric vehicle conversion ratio,
From the beginning of 0 point of one day, count outside this charging station 50m and uncharged within 1km with 15 minutes for the cycle
Electric automobile quantityIn statistics moment t2In 30 minutes afterwards, collection existsActual conversion in quantity
The quantity of the Rechargeable vehicle for chargingObtain counting moment t2Charging electric vehicle conversion ratioIt is calculatedBe outside this charging station 50m and
Within 1km, including statistics moment t2This statistics moment t of first 30 days of the same day2Average charging electric vehicle conversion ratio,
From the beginning of 0 point of one day, count outside this charging station 1km and uncharged within 10km with 30 minutes for the cycle
Electric automobile quantityIn statistics moment t3In 60 minutes afterwards, collection existsActual conversion in quantity
The quantity of the Rechargeable vehicle for chargingObtain counting moment t3Charging electric vehicle conversion ratioIt is calculatedBe outside this charging station 1km and
Within 10km, including statistics moment t3This statistics moment t of first 30 days of the same day3Average charging electric vehicle conversion ratio,
From the beginning of 0 point of one day, count outside this charging station 10km and uncharged within 50km with 60 minutes for the cycle
Electric automobile quantityIn statistics moment t4In 90 minutes afterwards, collection existsActual turn in quantity
Turn to the quantity of the Rechargeable vehicle chargingObtain counting moment t4Charging electric vehicle conversion
Rate It is calculatedBe outside this charging station 10km simultaneously
Within 50km, including statistics moment t4This statistics moment t of first 30 days of the same day4Average charging electric vehicle conversion ratio；
Step 4：The GPS position information that real-time estimate server uploads according to user's intelligent terminal, calculates uncharged
Speed per hour V of i electric automobileiIf, DijFor the distance away from j-th charging station for i-th electric automobile, if t is current time,
It is calculated Dij≤ 50m and ViThe quantity of the uncharged electric automobile of≤5km/h, is designated as j-th charging station real-time
Queuing radix Q1j(t),
It is calculated 50m<DijThe quantity of the uncharged electric automobile of≤1km and electrical automobile speed per hour of not rationing the power supply, is designated as j-th
Charging station queuing radix Q2 in real timej(t),
It is calculated 1km<DijThe quantity of the uncharged electric automobile of≤10km and electrical automobile speed per hour of not rationing the power supply, is designated as jth
Individual charging station queuing radix Q3 in real timej(t),
It is calculated 10km<DijThe quantity of the uncharged electric automobile of≤50km and electrical automobile speed per hour of not rationing the power supply, is designated as jth
Individual charging station queuing radix Q4 in real timej(t)；
Step 5：Real-time estimate server calculates the prediction queuing duration of each charging station in real time,
If T1j(t)It is the prediction queuing duration of the uncharged automobile within this charging station 50m, if T2j(t)It is away from this charging station
The prediction queuing duration of the uncharged automobile outside 50m and within 1km, if T3j(t)Be outside this charging station 1km and
The prediction queuing duration of the uncharged automobile within 10km, if T4j(t)It is outside this charging station 10km and within 50km
The prediction queuing duration of uncharged automobile,
T1j(t)、T2j(t)、T3j(t)And T4j(t)Press formula (I), (II), (III) and (IV) respectively to calculate,
Upper formula (I), (II), in (III) and (IV), t1、t2、t3And t4Obtaining value method be, with the statistics nearest away from current time
Moment chooses t1、t2、t3And t4Value, a represented charging station average charge duration for constant, by nearest one month of this charging station
After charging total duration is divided by Rechargeable vehicle quantity, then obtain divided by the quantity of this charging station charging pile；
Step 6：For the Rechargeable vehicle initiating charging station predictions request by user's intelligent terminal, real-time estimate server is first
First it is calculated the scheduled time T that this electric automobile reaches each charging stationj(t),
If Tj(t)≤t+T1j(t), then the moment starting to charge up of this electric automobile prediction is t+T1j(t), need the stand-by period pre-
Survey as t+T1j(t)-Tj(t),
If t+T1j(t)<Tj(t)≤t+T2j(t), then the moment starting to charge up of this electric automobile prediction is t+T2j(t), need
Treat that time prediction is t+T2j(t)-Tj(t),
If t+T2j(t)<Tj(t)≤t+T3j(t), then the moment starting to charge up of this electric automobile prediction is t+T3j(t), need
Treat that time prediction is t+T3j(t)-Tj(t),
If t+T3j(t)<Tj(t)≤t+T4j(t), then the moment starting to charge up of this electric automobile prediction is t+T4j(t), need
Treat that time prediction is t+T4j(t)-Tj(t),
If t+T4j(t)<Tj(t), then the moment starting to charge up of this electric automobile prediction is t+Tj(t), need the stand-by period to predict
For 0；
Step 7：The moment starting to charge up that each charging station is predicted is returned by real-time estimate server with the stand-by period of prediction
To request prediction user's intelligent terminal, user's intelligent terminal according to the prediction latency time receiving from be short to length carry out to charging
Station is ranked up.
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| CN109760543A (en) * | 2017-11-09 | 2019-05-17 | 丰田自动车株式会社 | For the information providing system and information providing method of charging station and for its server |
| CN109800899A (en) * | 2017-11-17 | 2019-05-24 | 奥动新能源汽车科技有限公司 | Electric charging station information output method and system and electric charging station recommended method and system |
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