CN104598988A - Electric vehicle charging station selection method based on charging reservation - Google Patents
Electric vehicle charging station selection method based on charging reservation Download PDFInfo
- Publication number
- CN104598988A CN104598988A CN201410815424.3A CN201410815424A CN104598988A CN 104598988 A CN104598988 A CN 104598988A CN 201410815424 A CN201410815424 A CN 201410815424A CN 104598988 A CN104598988 A CN 104598988A
- Authority
- CN
- China
- Prior art keywords
- charging station
- charging
- automobile
- vehicle
- electric automobile
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010187 selection method Methods 0.000 title abstract 3
- 238000000034 method Methods 0.000 claims description 16
- 230000005611 electricity Effects 0.000 claims description 11
- 238000010835 comparative analysis Methods 0.000 claims description 2
- 238000007726 management method Methods 0.000 description 14
- 238000004364 calculation method Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 238000005096 rolling process Methods 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000005484 gravity Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 244000144992 flock Species 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses an electric vehicle charging station selection method based on charging reservation. The electric vehicle charging station selection method based on the charging reservation includes steps that 1) acquiring road information in an electric vehicle route, wherein the road information comprises distance, speed and the like; 2) judging whether the vehicle has already made a reservation, if so, turning to the step 7); 3) calculating to judge whether the SOC of the electric vehicle can meet the driving demand of the journey, if so, turning to the step 1), otherwise, entering the step 4); 4) finding passing charging stations, and calculating the time for arriving at each charging station, the shortest waiting time and the like of each charging station; 5) judging whether the time when the vehicle arrives at the charging station surpasses a certain limit range, if so, calculating the charging station selection possibility of the vehicle, and judging; 6) selecting according to said information, and enabling an electric vehicle charging selection system to send the selection result to a charging station management system; 7) judging whether the vehicle has arrived at the reserved charging station, if so, waiting for charging or charging directly; otherwise, continuing to run till arriving at the charging station.
Description
Technical field
The present invention relates to a kind of pure electric automobile charging system of selection, belong to charging electric vehicle control field, control also significant for the charging of other pure electric vehicles.
Background technology
Electric automobile is a kind of " green " vehicle.Along with electric automobile rapid, high volume is put on market, the problem of charge requirement and unreasonable distribution, namely driver can not find charging station or the charging station that finds and cannot meet the problems such as vehicle charging demand and become increasingly conspicuous, and a lot of driver is produced worried and frightened to continuous distance travelled.Especially when after battery electric quantity drop by half, driver, in order to avoid automobile is because battery is inadequate " sitting ", dare not continue to travel, and blindly finds charging station everywhere.In addition, because charging electric vehicle time relative orthodox car refueling time will be grown, therefore more easily cause the automobile waiting in line to charge too much and driver to queue up the problem of charging waits for too long.These problems all cause direct impact to the marketing of electric automobile, the more important thing is the process having influence on China's Urban Transportation field and reduce discharging.Therefore, how to make between a large amount of electric automobile and charging station, carrying out coordination to charge, prevent from a part of charging station from queuing up to charge, the problem of the distribution inequality of another charging station free time, reducing the queue waiting time that driver is unnecessary, is one of current electric automobile and charging station mutual Charge Management aspect sixty-four dollar question.
In fact, along with the development of wireless communication technique, wireless location technology, intelligent transportation system etc., realize information sharing and transmit becoming possibility between electric automobile and charging station, electric automobile and Traffic Systems etc.Electric automobile can obtain its information running front charging station and road ahead congestion status in time, and charging station also can obtain the electric automobile information needing to carry out charging in time.Therefore, by information sharing and transmission, electric automobile and charging station can be made all to accomplish " shooting the arrow at the target " one of effective means solving electric automobile and charging station charging problems beyond doubt.But, because prediction automobile arrives the accuracy restriction of charging station time, and driver selects the randomness of charging station, the electromobile charging management method of current China does not also consider the function that electric automobile application is preengage, and does not solve yet and coordinates and manages problem with charging station.
The present invention proposes a kind of charging electric vehicle system of selection based on charging reservation, and the method has following characteristics and advantage:
1, ground charging station charging management system is sent to by prediction being arrived the time meeting the charging station of charging requirement, thus obtain the most rationally queuing up the charging stand-by period of this charging station, calculate this electric automobile to estimate to wait in line the duration of charging, and be supplied to driver and select, make driver can schedule ahead stroke, charging waits for too long of queuing up when avoiding driver to arrive charging station;
2, queuing probability and the parameter of charging station may be selected by setting up electric automobile, and be supplied to driver and select reference frame as charging station, travel before avoiding driver blindly or the problem of blindly charging.
3, by sending the reservation duration of charging in advance, not only making to coordinate between electric automobile and charging station to arrange charging, and improve the benefit of charging station.
Summary of the invention:
Because the charging electric vehicle system of selection of current China does not have to carry out coordination Charge Management between ground charging station charging management system, therefore cannot solve the problem of driver to distance travelled fear, have impact on the market degree of recognition of pure electric automobile.Queue up charging stand-by period and avoid automobile to arrive after charging station finding that charging station equipment cannot meet the problem of vehicle charging demand to reduce driver, the present invention establishes an efficient charging electric vehicle system of selection, the method is passed through vehicle charging requirement, arrive the information such as charging station time and send to charging station charging management system, and obtain charging pile parameter from charging station management system, wait in line the data such as duration of charging, calculate automobile to estimate to wait in line the duration of charging, auxiliary driver carries out charging station selection, the charging pile not only making driver to choose queuing time the shortest charges, and the charging contradiction solved between a large amount of electric automobile and charging station.
In order to realize charging electric vehicle system of selection, need first to set up charging electric vehicle selective system, this system comprises three parts: Part I charge station information system, mainly determine the charging station of process on running car path, and obtain the data that charging station management system sends, obtain queuing time etc.; The data that automobile obtains from ITS are mainly resolved by Part II ITS data analysis system, obtain the average speed of different sections of highway on running car path; Backup system is selected in Part III charging, mainly calculates the time that automobile arrives charging station in certain limit, and the charging station charged outside stand-by period and certain limit is by the probable value selecting to charge.
The present invention is achieved through the following technical solutions.Based on a planing method for reservation system, comprise the following steps:
Step 1): obtain No. ID of each road in automobile path, average link speed and mileage.First charging electric vehicle selective system obtains No. ID and mileage of each road automobile path from onboard navigation system.Charging electric vehicle selective system obtains the average link speed of No. ID, above-mentioned road from ITS system.The average speed found running car section from ITS is respectively
mileage is
Step 2): judge whether automobile preengages charging station, if preengage, perform step 7).
Step 3): calculate the traveling that can electric automobile SOC meet this stroke.If can meet, then circulation performs step 1); If not, then step 4 is entered).
Then by time that each section spends:
The driving force of automobile is:
In formula,
road section length, Km;
section speed Km/h; F
tfor Automobile drive power, N; F
ffor the resistance to rolling of running car, N; F
wfor air resistance during running car, N; F
igrade resistance during for travelling, N; F
jfor acceleration resistance during running car, N; f
rfor coefficient of rolling resistance; C
dfor coefficient of air resistance; A is the front face area of automobile, m
2; V is the speed of a motor vehicle, km/h; I is road grade; G is automobile gravity, N; δ is vehicle rotary mass conversion coefficient, kgm
2; M is car mass, kg.
If do not consider the gradient of road, rotate the power consumed, then automobile by the power in this section is:
Ignore the change in voltage in battery discharge procedure, then can calculate the battery discharge current in each section:
In formula, U
batfor sparking voltage.
Each section battery discharge capacity is
So automobile is by after whole stroke, and battery SOC is:
In formula, SOC
efor the electricity that automobile is current; SOC
sfor the electricity that automobile is current; C is the capacity Ah of automobile batteries; N is section number.
Consider the serviceable life of battery, if SOC
e< 0.3, then illustrate that battery cannot ensure running car full stroke; If SOC
e>=0.3, then illustrate that battery can ensure running car full stroke.
Step 4): according to the ID of each road in automobile path search in charge station information system through No. ID, charging station, and earthward charging station charging management system send No. ID, charging station.Calculating automobile arrives the stand-by period (queuing time adds the duration of charging) after each charging station.
1, calculate automobile and arrive charging station required time: the length of the different roads driven through needed for running car to charging station is D
i, the average link speed of every bar road is
suppose that the time that automobile arrival charging station travels is t
drive, then predict that the whole service time is
In formula, i is section number, automobile present place; J is section number, charging station place;
2, predict that automobile arrives charging station, wait for vacant charging pile Time Calculation method:
Suppose that different charging pile in existing charging station has been queued up and time of preengaging is
automobile time of arrival is t
drive, then, when predicting that automobile arrives charging station, wait for that different charging pile vacant time is
So automobile estimates the time waiting for vacant charging pile after entering charging station
and the charging pile No. waited in turn is q.
3, this car duration of charging computing method are predicted:
Then predict that this car duration of charging is t
charge.
In formula, Δ Q is the electricity (unit: Ah) needed for running car to terminal; I
chargefor charging current A.
4, the charging stand-by period after then prediction automobile arrives each charging station is:
Step 5): due to running car time prediction within the scope of certain hour accurately, in order to prevent automobile reservation time of arrival and actual time of arrival difference excessive, affect the benefit of charging station.If this car arrives the time of charging station within the limits prescribed, driver can directly preengage this charging station.For the vehicle arriving the charging station time and exceed certain limited field, then need to calculate the possibility that this charging station can be selected by this car.
Calculate the possibility that this charging station can be selected by this car:
Calculate and can not travel full journey in this front side, there is no reservation and the vehicle number n of this charging station may be preengage
v, then the probability that can be selected by this car of this charging station
this charging station can be preengage when probability is more than or equal to 0.25.
Step 6): estimated wait time or this charging station can be sent to driver as the reference selecting charging station by charging electric vehicle selective system by the possibility selected.Driver selects charging station according to above-mentioned information, then selection result is sent to charging station management system by charging electric vehicle selective system.
Step 7): judge whether automobile has arrived reservation charging station, if arrived, then wait for or directly charge; If do not arrived, then electric automobile continues to travel until arrive charging station.
Accompanying drawing illustrates:
figure1 charging electric vehicle system of selection flow process
figure;
figure2 test roads
figure;
figurethe stand-by period column of 3 each electric automobiles
figure;
embodiment:
Below in conjunction with attached
figurethe invention will be further described.
In order to improve electric automobile property easy to use, charging electric vehicle the shortest time is for just having corresponding vacant charging pile for it when entering charging station.In order to reach this object, except building except charging station energetically, the more important thing is the charging relation between equilibrium charging station and electric automobile, the phenomenon avoiding electric automobile " to flock together " charging occurs.For this reason, the present invention is by setting up the electric automobile charging station charging management system based on reservation management, by initiatively obtaining the requirement that electric automobile driver selects to charge, charging relation between reasonable coordination electric automobile and charging station, at utmost improve the benefit of charging station and reduce electric automobile driver at charging station queue waiting time, detailed process as
figureshown in 1.
Embodiment 1
Certain road has 7 sections, supposes that road-section average travel speed is constant, road section information as
following table 1
table 1each road section information
Section number | Distance (Km) | Average link speed (Km/h) |
Section 1 | 6 | 50 |
Section 2 | 7 | 60 |
Section 3 | 6 | 50 |
Section 4 | 6 | 50 |
Section 5 | 6 | 60 |
Section 6 | 6 | 50 |
Section 7 | 10 | 40 |
Charging station 1, in the starting point in section 5, has 4 charging piles, supposes that the appointment and queuing time (unit s) of each charging pile is: 1000,1000,1000,1000.
Charging station 2 has 4 charging piles at the terminal in section 1, supposes that the appointment and queuing time (unit s) of each charging pile is: 1800,1800,1800,1800.
The information of electric automobile as
following table
table 2the initial state information of electric automobile
Below only for electric automobile 1,2, when there is reservation system
Step 1): obtain No. ID of each road in automobile path, average link speed and mileage.First charging electric vehicle selective system obtains No. ID and mileage of each road automobile path from onboard navigation system.Charging electric vehicle selective system obtains the average link speed of No. ID, above-mentioned road from ITS system.The average speed found running car section from ITS is respectively
Mileage is
Electric automobile is in section 1, and in the starting point in section 1, the speed of a motor vehicle is 50Km/h, current SOC value 0.4.Electric automobile is in section 2, and at the starting point 100m place in distance section 1, the speed of a motor vehicle is 50Km/h, current SOC value 0.5.
Step 2): judge whether automobile preengages charging station, electric automobile 1,2 does not all preengage any charging station at present, then carry out step 3.
Step 3): calculate the traveling that can electric automobile electricity meet this stroke.
1, electric automobile 1 spent by each section time (unit: s):
The time that in like manner electric automobile 2 is spent by each section also can calculate
The driving force of each section automobile is:
In formula, F
tfor Automobile drive power, N; F
ffor the resistance to rolling of running car, N; F
wfor air resistance during running car, N; F
igrade resistance during for travelling, N; F
jfor acceleration resistance during running car, N; f
rfor coefficient of rolling resistance; C
dfor coefficient of air resistance; A is the front face area of automobile, m
2; V is the speed of a motor vehicle, km/h; I is road grade; G is automobile gravity, N; δ is vehicle rotary mass conversion coefficient, kgm
2; M is car mass, kg.
If do not consider the gradient of road, rotate the power consumed, then automobile by the power in this section is:
Ignore the change in voltage in battery discharge procedure, then can calculate the battery discharge current in each section:
In formula, U
batfor sparking voltage, 336V.
2, electric automobile 1 each section battery discharge capacity is:
So electric automobile 1 is by after whole stroke, and battery SOC is:
Electric automobile 2 each section battery discharge capacity is:
So electric automobile 2 is by after whole stroke, and battery SOC is:
In formula, SOC
sfor the electricity that automobile is current; SOC
efor automobile dump energy; C is the capacity 40Ah of automobile batteries; N is section number.
Consider the serviceable life of battery, the dump energy of electric automobile 1,2 is all less than 0.3, then illustrate that battery cannot ensure running car full stroke.Then enter step 5.
Step 4): according to the ID of each road in automobile path search in charge station information system through No. ID, charging station, and earthward charging station charging management system send No. ID, charging station.Calculating automobile arrives the charging stand-by period (queue waiting time and duration of charging sum) after each charging station.
1, calculate electric automobile and arrive charging station required time:
For electric automobile 1, according to step 4) algorithm, this car can only drive to section 3, therefore can only arrive charging station 2, and time needed for charging station 2 of arrival is t
drive=431s
For electric automobile 2, according to step 4) algorithm, this car can arrive charging station 1, can arrive charging station 2 again, and time needed for charging station 1 of arrival is t
drive1=1708s, the time arrived needed for charging station 2 is t
drive2=424
2, calculate electric automobile and arrive charging station, wait for vacant charging pile Time Calculation:
The time of having queued up for different charging pile in the existing charging station of electric automobile 12 and preengage is
work as n=1,2,3, when 4, be 1800s, then, when predicting that automobile arrives charging station, wait for that different charging pile vacant time is
Estimate after so electric automobile 1 enters charging station to wait for that the time of vacant charging pile is
and the charging pile No. waited in turn is 1.
The time of having queued up for different charging pile in electric automobile 2 charging station 1 and preengage is
work as n=1,2,3, be 1000s when 4, in charging station 2, different charging pile has been queued up and time of preengaging is
work as n=1,2,3, when 4, be 1800s,
Estimate after so electric automobile 2 arrives charging station 1 to wait for that the time of vacant charging pile is
Estimate after arriving charging station 2 to wait for that the time of vacant charging pile is
3, charging electric vehicle Time Calculation method is predicted:
Then predict that this car duration of charging is t
charge.
According to step 4) computing method, the SOC that can calculate when electric automobile 1 drives to charging station 2 is 0.36, must reach the electricity 8.6Ah that terminal also needs at last simultaneously.Therefore the duration of charging is:
In formula, Δ Q is the electricity needed for running car to terminal, I
chargefor charging current 54A.
SOC when electric automobile 2 drives to charging station 2 is 0.46, and the electricity Δ Q that must reach terminal at last also needs simultaneously is 4.6Ah.Therefore the duration of charging is:
SOC when electric automobile 2 drives to charging station 1 is 0.33, and the electricity Δ Q that must reach terminal at last also needs simultaneously is 4.51Ah.Therefore the duration of charging is:
4, the charging stand-by period after then calculating electric automobile 1 arrives charging station 2 is:
In like manner can calculate electric automobile 2 arrive charging station 1,2 after the charging stand-by period be respectively 300s, 1676s.
Step 5): due to running car time prediction within the scope of certain hour accurately, in order to prevent automobile reservation time of arrival and actual time of arrival difference excessive, affect the benefit of charging station.Need the scope whether time of calculating electric automobile arrival needed for charging station is specifying.Electric automobile 1 arrives time needed for charging station 2 in the scope 1600s of regulation.If the stand-by period selecting charging station 1 total for electric automobile 2 is shorter, but exceed the scope 1600s of regulation because electric automobile 2 time arrived needed for charging station 1 is 1708s.Therefore the probability that calculating charging station 1 can be selected by electric automobile 2 is needed.
Calculate the probability that charging station 1 can be selected by electric automobile 2:
Calculate the front of electric automobile 2 can not travel full journey, there is no reservation and the vehicle number n of this charging station may be preengage
vbe 3, then the probability that can be selected by this car of this charging station
probability equals 0.25 can preengage this charging station 1.
Step 6): estimated wait time sends to driver as the reference selecting charging station by charging electric vehicle selective system.Driver selects charging station according to above-mentioned information, and charging station 2 selected by electric automobile 1, and charging station 1 selected by electric automobile 2.Then the information such as above-mentioned selection result and duration of charging are sent to charging station management system by charging electric vehicle selective system.
Step 7): electric automobile 1 and 2 arrives the charging station of reservation on time, waits for or directly carry out charging service before charging station arranges electric automobile to the charging pile of making an appointment in advance.
So far, the calculating of reservation system is had to leave it at that.Selection situation for the electric automobile not having reservation system adopts nearby principle, by
figure2 obtain electric automobile 1 selects charging station 1, and electric automobile 2 also selects charging station 1.Stand-by period and duration of charging etc. can calculate according to above-mentioned computing method.
All the other vehicles (electric automobile 3,4,5,6) also can calculate as stated above, thus obtain following result
Compare with the charging station selection result without reservation system, automobile select charging station result as
following table 3
Vehicle number | SOC | Reservation system is had to preengage charging station number | Charging station number is selected without reservation system |
1 | 0.4 | 2 | 2 |
2 | 0.5 | 1 | 2 |
3 | 0.5 | 1 | 2 |
4 | 0.45 | 1 | 1 |
5 | 0.4 | 1 | 1 |
Stand-by period of each electric automobile as
following table 4
Vehicle number | There is reservation system stand-by period (s) | Without reservation system stand-by period (s) |
1 | 1940 | 1940 |
2 | 300 | 1679 |
3 | 300 | 1684 |
4 | 330 | 330 |
5 | 460 | 460 |
From
table 3with
table 4in can obtain the charging station of electric automobile under having reservation system and not having reservation system and select situation.By
figure3 can clearly find out when there being reservation system, and the stand-by period of electric automobile 2 and 3 obviously reduces, and not only reduces the stand-by period of driver, thus also make the efficiency of charging station be improved.
The present invention is based on software Matlab, carry out the charging station selection under controlling with or without reservation system and the comparative analysis of stand-by period.
table 5embodiment 1 obtains average latency contrast table
From
table 5in can obtain, electric automobile has reservation system according to adopting and does not adopt the average latency of each electric automobile compared with reservation system to decrease 9 minutes.Therefore, adopt and have the selective system of reservation can shorten the charging stand-by period of electric automobile effectively significantly, thus improve running efficiency.
Claims (4)
- Based on a major trunk roads speed of a motor vehicle planing method for isolated intersection traffic signal message, comprise the following steps:Step 1) obtain road information in electric automobile path and comprise distance, speed etc.;Step 2) judge whether automobile is preengage, if so, forward step 7 to);Step 3) calculate the traveling that can electric automobile SOC meet this stroke;Step 4) search through charging station, calculate and arrive time of charging station, and in the shortest stand-by period etc. of each charging station;Step 5) judge that vehicle arrives the charging station time and whether exceeded certain limited field, if it is need to calculate the possibility that this charging station can be selected by this car;Step 6) to select according to above-mentioned information, selection result is sent to charging station management system by charging electric vehicle selective system;Step 7) judge whether automobile has arrived reservation charging station, if arrived, then wait for or directly charge; Otherwise continue to travel until arrive charging station.1. method according to claim 1, is characterized in that, described step 1) obtain the information such as road data, the speed of a motor vehicle by onboard navigation system and intelligent transportation system.
- 2. method according to claim 1, is characterized in that, described step 3) by following formulae discovery automobile by the battery electric quantity after whole stroke in formula, SOC efor automobile dump energy; SOC sfor the electricity that automobile is current; for the electricity Ah that each section consumes; C is the capacity Ah of automobile batteries; N is section number.
- 3. method according to claim 1, is characterized in that, described step 4) possibility that can be selected by this car by this charging station of following formulae discovery wherein n vfor full journey can not have been travelled in this vehicle front, there is no the vehicle number of preengaging and this charging station may be preengage.
- 4. method according to claim 1, is characterized in that, described method is based on software Matlab, and application model carries out controlling lower charging station selection and the comparative analysis of stand-by period with or without reservation system.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410815424.3A CN104598988A (en) | 2014-12-23 | 2014-12-23 | Electric vehicle charging station selection method based on charging reservation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410815424.3A CN104598988A (en) | 2014-12-23 | 2014-12-23 | Electric vehicle charging station selection method based on charging reservation |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104598988A true CN104598988A (en) | 2015-05-06 |
Family
ID=53124756
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410815424.3A Pending CN104598988A (en) | 2014-12-23 | 2014-12-23 | Electric vehicle charging station selection method based on charging reservation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104598988A (en) |
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105109357A (en) * | 2015-09-14 | 2015-12-02 | 长安大学 | Intelligent charging system and method for electric vehicle |
CN105398347A (en) * | 2015-10-21 | 2016-03-16 | 北京小飞快充网络科技有限公司 | Electric vehicle intelligent queuing method capable of improving charging efficiency |
CN106203658A (en) * | 2016-07-01 | 2016-12-07 | 宁波轩悦行电动汽车服务有限公司 | Reservation according to the real-time volume of the flow of passengers is hired a car method |
CN106427635A (en) * | 2016-11-03 | 2017-02-22 | 六安市科宇专利技术开发服务有限公司 | Electric automobile |
CN106469506A (en) * | 2015-08-19 | 2017-03-01 | 西安全星智能电子有限责任公司 | Parking lot control method for vehicle and device |
CN107351705A (en) * | 2017-07-06 | 2017-11-17 | 上海蔚来汽车有限公司 | Changing the electric stand-by period determines system and method, electrical changing station, changes electric system and recording medium |
CN107392367A (en) * | 2017-07-17 | 2017-11-24 | 安徽云电网络科技有限公司 | A kind of shared storage battery business model |
TWI613610B (en) * | 2015-11-17 | 2018-02-01 | 歐姆龍股份有限公司 | Battery reservation device and battery reservation method |
CN108431860A (en) * | 2016-01-07 | 2018-08-21 | 日产自动车株式会社 | The stand-by period computing system that charges and method |
CN108981732A (en) * | 2018-04-26 | 2018-12-11 | 杭州中恒云能源互联网技术有限公司 | A kind of charging air navigation aid of electric car charging navigation system |
CN109063876A (en) * | 2018-08-07 | 2018-12-21 | 张锐明 | A kind of electric car charging reserving method |
CN109697876A (en) * | 2018-10-30 | 2019-04-30 | 百度在线网络技术(北京)有限公司 | For providing the method, apparatus, equipment and storage medium of information of vehicles |
CN109858646A (en) * | 2018-12-19 | 2019-06-07 | 恒大智慧科技有限公司 | Charge reserving method, computer equipment and storage medium |
CN110015138A (en) * | 2017-11-20 | 2019-07-16 | 深圳先进技术研究院 | Batteries of electric automobile monitoring method, device, system and electric car |
CN110020218A (en) * | 2017-09-12 | 2019-07-16 | 腾讯科技(深圳)有限公司 | Information on services methods of exhibiting and device |
CN113327035A (en) * | 2021-05-28 | 2021-08-31 | 兰州理工大学 | Electric quantity distribution method and device, electronic equipment and storage medium |
CN114676864A (en) * | 2021-05-18 | 2022-06-28 | 北京新能源汽车股份有限公司 | Charging appointment method and device and electric automobile |
CN115526519A (en) * | 2022-10-11 | 2022-12-27 | 威海广泰空港设备股份有限公司 | Airport electric vehicle charging scheduling method based on service flight |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102009625A (en) * | 2010-11-02 | 2011-04-13 | 电子科技大学 | Charging reservation and navigation system for electric vehicle |
CN102189940A (en) * | 2010-03-19 | 2011-09-21 | 爱信艾达株式会社 | Driving support device, method and program |
CN103236179A (en) * | 2012-12-18 | 2013-08-07 | 清华大学 | Method for charging and navigating electric vehicles on basis of traffic information and power grid information |
CN103236177A (en) * | 2013-03-26 | 2013-08-07 | 清华大学 | Intelligent interactive system with vehicular network multi-system fusion, and control method thereof |
CN103631642A (en) * | 2013-12-13 | 2014-03-12 | 国家电网公司 | Ecological simulation-based electric car battery charging and replacing service network simulation system and method |
CN103660984A (en) * | 2013-11-26 | 2014-03-26 | 北京航空航天大学 | BEV driving range estimation device and method based on remote data transmission |
CN104184190A (en) * | 2014-08-18 | 2014-12-03 | 国家电网公司 | Dynamic charging path planning method for electric vehicle |
CN105051800A (en) * | 2012-11-30 | 2015-11-11 | 株式会社东芝 | Charge management device |
-
2014
- 2014-12-23 CN CN201410815424.3A patent/CN104598988A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102189940A (en) * | 2010-03-19 | 2011-09-21 | 爱信艾达株式会社 | Driving support device, method and program |
CN102009625A (en) * | 2010-11-02 | 2011-04-13 | 电子科技大学 | Charging reservation and navigation system for electric vehicle |
CN105051800A (en) * | 2012-11-30 | 2015-11-11 | 株式会社东芝 | Charge management device |
CN103236179A (en) * | 2012-12-18 | 2013-08-07 | 清华大学 | Method for charging and navigating electric vehicles on basis of traffic information and power grid information |
CN103236177A (en) * | 2013-03-26 | 2013-08-07 | 清华大学 | Intelligent interactive system with vehicular network multi-system fusion, and control method thereof |
CN103660984A (en) * | 2013-11-26 | 2014-03-26 | 北京航空航天大学 | BEV driving range estimation device and method based on remote data transmission |
CN103631642A (en) * | 2013-12-13 | 2014-03-12 | 国家电网公司 | Ecological simulation-based electric car battery charging and replacing service network simulation system and method |
CN104184190A (en) * | 2014-08-18 | 2014-12-03 | 国家电网公司 | Dynamic charging path planning method for electric vehicle |
Cited By (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113724404A (en) * | 2015-08-19 | 2021-11-30 | 西安全星智能电子有限责任公司 | Parking lot vehicle control system and method |
CN106469506A (en) * | 2015-08-19 | 2017-03-01 | 西安全星智能电子有限责任公司 | Parking lot control method for vehicle and device |
CN114639250A (en) * | 2015-08-19 | 2022-06-17 | 西安全星智能电子有限责任公司 | Parking lot vehicle control system and method |
CN105109357A (en) * | 2015-09-14 | 2015-12-02 | 长安大学 | Intelligent charging system and method for electric vehicle |
CN105398347A (en) * | 2015-10-21 | 2016-03-16 | 北京小飞快充网络科技有限公司 | Electric vehicle intelligent queuing method capable of improving charging efficiency |
TWI613610B (en) * | 2015-11-17 | 2018-02-01 | 歐姆龍股份有限公司 | Battery reservation device and battery reservation method |
CN108431860B (en) * | 2016-01-07 | 2020-05-05 | 日产自动车株式会社 | Charging waiting time calculation system and method |
CN108431860A (en) * | 2016-01-07 | 2018-08-21 | 日产自动车株式会社 | The stand-by period computing system that charges and method |
CN106203658A (en) * | 2016-07-01 | 2016-12-07 | 宁波轩悦行电动汽车服务有限公司 | Reservation according to the real-time volume of the flow of passengers is hired a car method |
CN106427635A (en) * | 2016-11-03 | 2017-02-22 | 六安市科宇专利技术开发服务有限公司 | Electric automobile |
WO2019006819A1 (en) * | 2017-07-06 | 2019-01-10 | 上海蔚来汽车有限公司 | Battery swapping waiting time determining system and method, battery swapping station, battery swapping system, and recording medium |
CN107351705A (en) * | 2017-07-06 | 2017-11-17 | 上海蔚来汽车有限公司 | Changing the electric stand-by period determines system and method, electrical changing station, changes electric system and recording medium |
CN107392367A (en) * | 2017-07-17 | 2017-11-24 | 安徽云电网络科技有限公司 | A kind of shared storage battery business model |
CN110020218A (en) * | 2017-09-12 | 2019-07-16 | 腾讯科技(深圳)有限公司 | Information on services methods of exhibiting and device |
CN110020218B (en) * | 2017-09-12 | 2022-09-30 | 腾讯科技(深圳)有限公司 | Service information display method and device |
CN110015138A (en) * | 2017-11-20 | 2019-07-16 | 深圳先进技术研究院 | Batteries of electric automobile monitoring method, device, system and electric car |
CN108981732B (en) * | 2018-04-26 | 2021-05-18 | 杭州中恒云能源互联网技术有限公司 | Charging navigation method of electric vehicle charging navigation system |
CN108981732A (en) * | 2018-04-26 | 2018-12-11 | 杭州中恒云能源互联网技术有限公司 | A kind of charging air navigation aid of electric car charging navigation system |
CN109063876B (en) * | 2018-08-07 | 2022-03-11 | 张锐明 | Electric vehicle charging reservation method |
CN109063876A (en) * | 2018-08-07 | 2018-12-21 | 张锐明 | A kind of electric car charging reserving method |
CN109697876A (en) * | 2018-10-30 | 2019-04-30 | 百度在线网络技术(北京)有限公司 | For providing the method, apparatus, equipment and storage medium of information of vehicles |
CN109858646A (en) * | 2018-12-19 | 2019-06-07 | 恒大智慧科技有限公司 | Charge reserving method, computer equipment and storage medium |
CN114676864A (en) * | 2021-05-18 | 2022-06-28 | 北京新能源汽车股份有限公司 | Charging appointment method and device and electric automobile |
CN113327035A (en) * | 2021-05-28 | 2021-08-31 | 兰州理工大学 | Electric quantity distribution method and device, electronic equipment and storage medium |
CN113327035B (en) * | 2021-05-28 | 2022-08-23 | 兰州理工大学 | Electric quantity distribution method and device, electronic equipment and storage medium |
CN115526519A (en) * | 2022-10-11 | 2022-12-27 | 威海广泰空港设备股份有限公司 | Airport electric vehicle charging scheduling method based on service flight |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104598988A (en) | Electric vehicle charging station selection method based on charging reservation | |
CN104716706A (en) | Charging-reservation-based electric automobile charging station charging management method | |
Wu et al. | Energy-optimal speed control for electric vehicles on signalized arterials | |
CN103236177B (en) | Control method of intelligent interactive system with vehicular network multi-system fusion | |
CN104064044B (en) | Based on bus or train route collaborative engine start/stop control system and method thereof | |
CN108556661B (en) | Active charging early warning and reservation method for electric automobile | |
CN106064614B (en) | Vehicle energy management apparatus | |
CN104933466B (en) | A kind of charging schedule system and method based on electric automobile charging priority | |
US9714023B2 (en) | System and method for controlling hybrid vehicle | |
CN102439396B (en) | Electrically driven vehicle | |
CN103236179B (en) | Method for charging and navigating electric vehicles on basis of traffic information and power grid information | |
US8364388B2 (en) | Traveling guidance system, traveling guidance method, and computer program | |
EP2562514B1 (en) | Information provision device and information provision method | |
CN102867430B (en) | Information terminal and cruise controller for electric-powered vehicle | |
CN103308052B (en) | Charge point notification system and car-mounted device | |
JP5929866B2 (en) | Movement support device, movement support method, and driving support system | |
CN106696743A (en) | Method and system for intelligent charging reminding and reservation charging of battery electric vehicle | |
CN105160428A (en) | Planning method of electric vehicle fast-charging station on expressway | |
CN104952268A (en) | Method of advising driver of vehicle | |
CN104182492A (en) | Information provision device | |
CN104184190A (en) | Dynamic charging path planning method for electric vehicle | |
CN105480095A (en) | System and method of estimating available driving distance | |
JP7111469B2 (en) | Vehicle control system, vehicle control method, and program | |
CN104390650A (en) | Electric car route planning method and system based on cloud platform | |
CN103072572B (en) | Chargeable hybrid power vehicle remotely optimizes system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150506 |
|
WD01 | Invention patent application deemed withdrawn after publication |