CN107696904A - The control method and device that a kind of electric car charges in order - Google Patents

The control method and device that a kind of electric car charges in order Download PDF

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Publication number
CN107696904A
CN107696904A CN201711056887.6A CN201711056887A CN107696904A CN 107696904 A CN107696904 A CN 107696904A CN 201711056887 A CN201711056887 A CN 201711056887A CN 107696904 A CN107696904 A CN 107696904A
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charging
mrow
time
user
electric vehicle
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周燕红
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/64Optimising energy costs, e.g. responding to electricity rates
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The control method and device to be charged in order the invention discloses a kind of electric car.By obtaining charging electric vehicle demand;Tou power price is formulated according to charge requirement and system running state;User is from main response tou power price, it is determined that charging plan, solve extensive charging electric vehicle to negatively affect to caused by power network, reached the charging cost of the operation cost and automobile user that significantly reduce charging station, and effectively realize the effect of charging load peak load shifting.

Description

Control method and device for orderly charging of electric vehicle
Technical Field
The embodiment of the invention relates to the technical field of charging control of electric vehicles, in particular to a control method and a control device for orderly charging of an electric vehicle.
Background
The electric automobile has good energy-saving, environment-friendly and low-emission potential, and has gained general attention of governments of various countries in the world in recent years. The large-scale electric automobile access has a non-negligible influence on the operation and planning of the power grid. Particularly, the access of the electric automobile brings large-scale load increase to a power grid, and under the condition of lacking of charging coordination, the load peak-valley difference of a distribution network is further aggravated, and negative effects are generated on the safe operation of the distribution network.
In order to effectively reduce the negative influence of large-scale electric vehicle charging on a power grid, more research results in ordered charging are published, and methods for realizing ordered charging of electric vehicles can be mainly classified into two types.
Class 1 is a direct charge load control method. According to the method, a power distribution network dispatching or charging service operator directly controls the on-off of the charging pile or the charging power of the electric automobile on the basis of fully considering the charging requirement of the electric automobile, the time-sharing charging price and the load level of the power distribution network, so that the ordered charging control is realized. The main disadvantages of this type of process are: 1) the method is difficult to be applied to the online application of the solution of the large-scale electric automobile ordered charging strategy; 2) in the ordered charging process, the charging power of the charging pile can be frequently adjusted, so that the service lives of the battery and the charger are negatively affected, and the support and the practical application of a user are difficult to obtain.
The 2 nd category is an electricity rate guide method. According to the method, a charging service provider provides time-of-use preferential electricity price according to the system running condition, and a user autonomously stimulates response according to the charging requirement and the electricity price so as to achieve the purpose of ordered charging. At present, the ordered charging method based on the electricity price guide is less researched in the literature. In a city with better electric vehicle development, such as Shenzhen, a trial is made to obtain the electric vehicle charging peak valley electricity price so as to guide a user to transfer the electric vehicle charging load to a night valley. But the rate and the time period of the time-of-use electricity price are not dynamically adjusted according to the actual operation condition of the system.
Disclosure of Invention
The invention provides a control method and a control device for orderly charging of an electric vehicle, which aim to realize the effect of peak clipping and valley filling of a charging load.
In a first aspect, an embodiment of the present invention provides a method for controlling ordered charging of an electric vehicle, where the method includes:
acquiring the charging requirement of the electric automobile;
formulating a time-of-use electricity price according to the charging demand and the system running state;
and the user autonomously responds to the time-of-use electricity price and determines a charging plan.
Optionally, when obtaining the electric vehicle charging demand, still include: obtaining battery capacity B of electric automobileiCurrent state of charge of battery of electric vehicleExpected residence time t of electric vehicleiAnd expected electric vehicle state of charge level when the electric vehicle leaves
Optionally, when the time-of-use electricity price is formulated according to the charging demand and the system operating state, the method further includes:
calculating the number T of the vehicle stay time sectionsiAnd the number J of time segments required for chargingi
Preliminarily calculating an optimal time-of-use valley electricity price starting time period;
and adjusting the optimal time-of-use valley electricity price starting time period, formulating the electricity price and prompting the user.
Optionally, the number of vehicle stay time segments T is calculatediAnd the number J of time segments required for chargingiMeanwhile, the method also comprises the following steps:
number of vehicle stay time segments TiAnd the number J of time segments required for chargingiThe following are calculated respectively:
wherein,Δtη is the charging efficiency of the charger;is the smallest integer not less than x;is the largest integer no greater than x; b isiThe battery capacity of the electric automobile;the current state of charge of the battery of the electric vehicle; t is tiExpected dwell time for the electric vehicle;the expected electric vehicle state of charge level when the electric vehicle leaves; the charging process is constant power PiAnd (6) charging.
Optionally, when the initial time period of the optimal time-of-use valley electricity price is preliminarily calculated, the method further includes:
preliminary selection of continuation JiThe minimum value of the initial period with the maximum sum of the load margins is the initial period of the low-valley electricity price
Optionally, when adjusting the optimal time-of-use valley electricity price initial time period and making the electricity price and prompting the user, the method further includes:
calculating T of leaving of the electric vehicle from the current time period by the systemiCharging load margin M in each time periodi(t=1,2,...,Ti):
Mi=AtSTλ,t=1,2,...,Ti
Where λ is the power factor of the charging load, AtRepresents the ratio of the power allowed to charge the electric vehicle by the charging station to the capacity of the transformer in the t-th time period in the day, AtIn [0,1 ]]Value of between, STSetting the rated capacity of the transformer;
adjusting the off-peak electricity price onset period to be followed by JiCharging load margin M corresponding to time periodt≥PiPosition of
In the formula:
at the initial time of the calculated adjusted off-peak electricity priceThereafter, a period of time is determinedThe charging price of the inner user is the valley electricity price plThe charging electricity price in other time periods is the peak electricity price phTo prompt the user.
When the user autonomously responds to the time-of-use electricity price and determines the charging plan, the method further comprises the following steps:
the user can autonomously select to start charging immediately or delay the charging to the valley price.
Optionally, when the user autonomously selects to start charging immediately or delay the start of charging to the valley power price, the method further includes:
immediately after the user selectsStarting charging, arranging the electric vehicle to start charging in the next time period and corresponding to the charging load margin M one by onet≥PiUntil scheduledUntil a time period. While charging load margin (A) is applied in the corresponding periodtSTλ) is updated to (A)tSTλ-Pi);
If the user selects to delay the charging to the valley power price, the electric automobile is arranged to start charging fromInitially, one by one at the corresponding charging load margin Mt≥PiUntil scheduledUntil a time period. While charging load margin (A) is applied in the corresponding periodtSTλ) is updated to (A)tSTλ-Pi)。
Optionally, the number of vehicle stay time segments T is calculatediAnd the number J of time segments required for chargingiThen, the method further comprises the following steps:
according to the residence time and the charging requirement of a newly accessed user, preliminarily judging whether the charging requirement of the user can be met;
if not, calculating the maximum battery charging level when the system leaves and prompting the user;
if yes, the optimal time-of-use valley electricity price initial time period is preliminarily calculated.
Optionally, when preliminarily determining whether the charging requirement of the client can be met according to the residence time and the charging requirement of the newly accessed user, the method further includes:
calculating T of leaving of the electric vehicle from the current time period by the systemiCharging load margin M in each time periodi(t=1,2,...,Ti):
Mi=AtSTλ,t=1,2,...,Ti
Where λ is the power factor of the charging load, AtRepresents the ratio of the power allowed to charge the electric vehicle by the charging station to the capacity of the transformer in the t-th time period in the day, AtIn [0,1 ]]Value of between, STSetting the rated capacity of the transformer;
calculating T of parking in the vehicle from the current time period by the calculation systemiCharging load margin M in each time periodi(t=1,2,...,Ti) Greater than PiNumber of (2)i
Hi=|Ai|,Ai={t|Mt≥Pi,t=1,2,...,Ti}
Wherein, | AiIs set AiThe number of elements in the table.
If H isi<JiIf so, the system cannot meet the charging requirement input by the user within the parking time of the electric automobile. Therefore, the state of charge of the battery of the electric automobile which can be maximally met by the system when the user leaves can be calculated
Because the electric automobile needs to be charged all the time during the parking time, the charging station can prompt the user of the state of charge of the battery which can be met by the system to the maximum extentAnd prompts the user to press the peak price phCharging is performed and the user autonomously selects whether to accept the charging service or to abandon the service.
When the user autonomously responds to the time-of-use electricity price and determines the charging plan, the method further comprises the following steps:
if the user receives the charging service, arranging the electric automobile to be in the charging load margin Mt(t=1,2,...,Ti) Charging is performed for a period greater than the predetermined period, and the charging load margin (A) is set for the corresponding periodtSTλ) is updated to (A)tSTλ-Pi)。
In a second aspect, an embodiment of the present invention further provides a control device for orderly charging an electric vehicle, where the control device includes:
the charging demand acquisition module is used for acquiring the charging demand of the electric automobile;
the time-of-use electricity price formulating module is used for formulating time-of-use electricity price according to the charging requirement and the system running state;
and the user autonomous response module is used for autonomously responding the time-of-use electricity price by the user and determining a charging plan.
The method comprises the steps of obtaining the charging requirement of the electric automobile; formulating a time-of-use electricity price according to the charging demand and the system running state; the user autonomously responds to the time-of-use electricity price, determines the charging plan, solves the negative influence of large-scale electric vehicle charging on the power grid, achieves the effects of obviously reducing the operation cost of the charging station and the charging cost of electric vehicle users, and effectively realizing peak clipping and valley filling of the charging load.
Drawings
Fig. 1 is a flowchart of a control method for orderly charging an electric vehicle according to a first embodiment of the present invention.
Fig. 2 is a flowchart of a control method for orderly charging an electric vehicle according to a second embodiment of the present invention.
Fig. 3 is a flowchart of a control method for orderly charging an electric vehicle according to a third embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a control device for orderly charging an electric vehicle according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a control method for orderly charging an electric vehicle according to an embodiment of the present invention, where the embodiment is applicable to a situation of orderly charging an electric vehicle, and the method may be executed by a computer or a charging station system, and specifically includes the following steps:
step S110, acquiring a charging requirement of the electric automobile;
the charging station acquires the battery capacity B of the electric automobile through a battery management system on the electric automobileiAnd current state of charge of the battery of the electric vehicle(i.e., the ratio of the current battery level of the electric vehicle to the total battery capacity). In order to reasonably set the charging time-of-use electricity price period of the user, the customer needs to inform the charging control system in the charging station of the expected residence time t of the electric vehicleiAnd expected electric vehicle state of charge level when the electric vehicle leaves
Step S120, making a time-of-use electricity price according to the charging requirement and the system running state;
the electric vehicle charging station aims at realizing peak clipping and valley filling, meets the charging requirements of customers and is constrained by the fact that a transformer of the charging station is not overloaded, and time-of-use electricity price facing the users is dynamically formulated.
And step S130, the user autonomously responds to the time-of-use electricity price and determines a charging plan.
After the charging station issues the established time-of-use electricity price, a user autonomously responds to and selects a charging mode, the charging starting time of the electric automobile can be delayed to a low electricity price period or the charging can be started immediately, the charging station determines an electric automobile charging plan according to the user selection, and the ordered charging control of the electric automobile is achieved in the station.
According to the technical scheme of the embodiment, the charging requirement of the electric automobile is obtained; formulating a time-of-use electricity price according to the charging demand and the system running state; the user autonomously responds to the time-of-use electricity price, determines the charging plan, solves the negative influence of large-scale electric vehicle charging on the power grid, achieves the effects of obviously reducing the operation cost of the charging station and the charging cost of electric vehicle users, and effectively realizing peak clipping and valley filling of the charging load.
Example two
Fig. 2 is a flowchart of a control method for orderly charging an electric vehicle according to a second embodiment of the present invention, and on the basis of the foregoing embodiments, the present embodiment preferably further adds the following steps when making time-of-use electricity prices according to charging demands and system operating states:
step S221, calculating the number T of the vehicle stay time sectionsiAnd the number J of time segments required for chargingi
Step S222, initially calculating an optimal time-of-use valley electricity price starting time period;
and S223, adjusting the optimal time-of-use valley electricity price starting time period, formulating the electricity price and prompting the user.
According to the technical scheme of the embodiment, the number T of the stay time sections of the vehicle is calculated when the time-of-use electricity price is formulated according to the charging demand and the system running stateiAnd the number J of time segments required for chargingi(ii) a Preliminarily calculating an optimal time-of-use valley electricity price starting time period; the optimal time-of-use valley electricity price starting time period is adjusted, the electricity price is formulated and the user is prompted, the negative influence of large-scale electric vehicle charging on a power grid is avoided, the operation cost of a charging station and the charging cost of an electric vehicle user are obviously reduced, and the effect of peak clipping and valley filling of a charging load is effectively achieved.
On the basis of the above-described respective embodiments, it is preferable that the number of vehicle stay time periods T is calculatediAnd the number J of time segments required for chargingiMeanwhile, the method also comprises the following steps:
number of vehicle stay time segments TiAnd the number J of time segments required for chargingiThe following are calculated respectively:
wherein, Deltatη is the charging efficiency of the charger;is the smallest integer not less than x;is the largest integer no greater than x; b isiThe battery capacity of the electric automobile;the current state of charge of the battery of the electric vehicle; t is tiExpected dwell time for the electric vehicle;the expected electric vehicle state of charge level when the electric vehicle leaves; the charging process is constant power PiAnd (6) charging.
On the basis of the above embodiments, it is preferable that, when the optimal time-of-use valley electricity price start time period is preliminarily calculated, the method further includes:
preliminary selection continuationThe minimum value of the initial period with the maximum sum of the load margins is the initial period of the low-valley electricity price
On the basis of the above embodiments, preferably, when the optimal time-of-use valley electricity price starting time period is adjusted, and the electricity price is formulated and the user is prompted, the method further includes:
calculating T of leaving of the electric vehicle from the current time period by the systemiCharging load margin M in each time periodi(t=1,2,...,Ti):
Mi=AtSTλ,t=1,2,...,Ti
Where λ is the power factor of the charging load, AtRepresents the ratio of the power allowed to charge the electric vehicle by the charging station to the capacity of the transformer in the t-th time period in the day, AtIn [0,1 ]]Value of between, STSetting the rated capacity of the transformer;
adjusting the off-peak electricity price onset period to be followed by JiCharging load margin M corresponding to time periodt≥PiPosition of
In the formula:
at the initial time of the calculated adjusted off-peak electricity priceThereafter, a period of time is determinedThe charging price of the inner user is the valley electricity price plThe charging electricity price in other time periods is the peak electricity price phTo prompt the user.
When the user autonomously responds to the time-of-use electricity price and determines the charging plan, the method further comprises the following steps:
the user can autonomously select to start charging immediately or delay the charging to the valley price.
On the basis of the above embodiments, it is preferable that, when the user autonomously selects to start charging immediately or delay the start of charging to the valley power rate, the method further includes:
if the user selects to start charging immediately, the electric automobile is arranged to start charging in the corresponding charging load margin M one by one from the next time periodt≥PiUntil scheduledUntil a time period. While charging load margin (A) is applied in the corresponding periodtSTλ) is updated to (A)tSTλ-Pi);
If the user selects to delay the charging to the valley power price, the electric automobile is arranged to start charging fromInitially, one by one at the corresponding charging load margin Mt≥PiUntil scheduledUntil a time period. While charging load margin (A) is applied in the corresponding periodtSTλ) is updated to (A)tSTλ-Pi)。
Example three
Fig. 3 is a flowchart illustrating a control method for orderly charging an electric vehicle according to a third embodiment of the present invention. In the present embodiment, based on the above embodiments, it is preferable that the number of vehicle staying time period T is calculatediAnd the number J of time segments required for chargingiThen, the method further comprises the following steps:
step S321, preliminarily judging whether the charging requirement of the client can be met according to the residence time and the charging requirement of the newly accessed user;
step S322, if not, calculating the maximum battery charging level when the system leaves and prompting the user;
and step S222, if so, preliminarily calculating the optimal time-of-use valley electricity price starting time period.
According to the technical scheme of the embodiment, whether the charging requirement of a client can be met or not is preliminarily judged according to the residence time and the charging requirement of a newly accessed user; if not, calculating the maximum battery charging level when the system leaves and prompting the user; if yes, the optimal time-of-use valley electricity price starting time period is preliminarily calculated, the problem that the charging station state can not meet the charging requirement of the customer is solved, and the effect of automatically determining the charging plan by the customer is achieved.
In addition to the above-described embodiments, the preferred embodimentsIn calculating the number of vehicle stay time segments TiAnd the number J of time segments required for chargingiMeanwhile, the method also comprises the following steps:
when preliminarily judging whether the charging requirement of the client can be met according to the residence time and the charging requirement of the newly accessed user, the method further comprises the following steps:
calculating T of leaving of the electric vehicle from the current time period by the systemiCharging load margin M in each time periodi(t=1,2,...,Ti):
Mi=AtSTλ,t=1,2,...,Ti
Where λ is the power factor of the charging load, AtRepresents the ratio of the power allowed to charge the electric vehicle by the charging station to the capacity of the transformer in the t-th time period in the day, AtIn [0,1 ]]Value of between, STSetting the rated capacity of the transformer;
calculating T of parking in the vehicle from the current time period by the calculation systemiCharging load margin M in each time periodi(t=1,2,...,Ti) Greater than PiNumber of (2)i
Hi=|Ai|,Ai={t|Mt≥Pi,t=1,2,...,Ti}
Wherein, | AiIs set AiThe number of elements in the table.
If H isi<JiIf so, the system cannot meet the charging requirement input by the user within the parking time of the electric automobile. Therefore, the state of charge of the battery of the electric automobile which can be maximally met by the system when the user leaves can be calculated
Because the electric automobile needs to be charged all the time during the parking time, the charging station can prompt the user of the state of charge of the battery which can be met by the system to the maximum extentAnd prompts the user to press the peak price phCharging is performed and the user autonomously selects whether to accept the charging service or to abandon the service.
On the basis of the above embodiments, it is preferable that, when the user autonomously responds to the time-of-use electricity price to determine the charging plan, the method further includes:
if the user receives the charging service, arranging the electric automobile to be in the charging load margin Mt(t=1,2,...,Ti) Charging is performed for a period greater than the predetermined period, and the charging load margin (A) is set for the corresponding periodtSTλ) is updated to (A)tSTλ-Pi)。
Example four
Fig. 4 is a schematic structural diagram of a control device for orderly charging an electric vehicle according to a fourth embodiment of the present invention, which is applicable to the situation of controlling orderly charging of an electric vehicle, and the specific structure of the control device for orderly charging an electric vehicle includes a charging demand obtaining module S410, a time-of-use electricity price formulating module S420, and a user autonomous response module S430.
The charging demand acquisition module S410 is used for acquiring the charging demand of the electric automobile;
the charging station acquires the battery capacity B of the electric automobile through a battery management system on the electric automobileiAnd current state of charge of the battery of the electric vehicle(i.e., the ratio of the current battery level of the electric vehicle to the total battery capacity). In order to reasonably set the charging time-of-use electricity price of a userIn the time period, the customer needs to inform the charging station charging control system of the expected stay time t of the electric vehicleiAnd expected electric vehicle state of charge level when the electric vehicle leaves
The time-of-use electricity price formulating module S420 is used for formulating the time-of-use electricity price according to the charging requirement and the system running state;
the electric vehicle charging station aims at realizing peak clipping and valley filling, meets the charging requirements of customers and is constrained by the fact that a transformer of the charging station is not overloaded, and time-of-use electricity price facing the users is dynamically formulated.
And the user autonomous response module S430 is used for the user to autonomously respond to the time-of-use electricity price and determine a charging plan.
After the charging station issues the established time-of-use electricity price, a user autonomously responds to and selects a charging mode, the charging starting time of the electric automobile can be delayed to a low electricity price period or the charging can be started immediately, the charging station determines an electric automobile charging plan according to the user selection, and the ordered charging control of the electric automobile is achieved in the station.
According to the technical scheme of the embodiment, the charging requirement of the electric automobile is obtained; formulating a time-of-use electricity price according to the charging demand and the system running state; the user autonomously responds to the time-of-use electricity price, determines the charging plan, solves the negative influence of large-scale electric vehicle charging on the power grid, achieves the effects of obviously reducing the operation cost of the charging station and the charging cost of electric vehicle users, and effectively realizing peak clipping and valley filling of the charging load.
On the basis of the foregoing embodiments, the time-of-use electricity price making module S420 may preferably include: the device comprises a vehicle stopping time and charging time period calculation unit, an electricity price initial stage preliminary calculation unit and an electricity price initial stage adjustment unit.
A vehicle staying time and charging time period calculating unit for calculating a vehicle staying time periodNumber TiAnd the number J of time segments required for chargingi
The initial electricity price stage initial calculation unit is used for initially calculating an optimal time-of-use valley electricity price initial time period;
and the electricity price initial stage adjusting unit is used for adjusting the optimal time-of-use valley electricity price initial time period, formulating the electricity price and prompting the user.
In addition to the above embodiments, preferably, the vehicle staying time and charging period calculating unit further includes:
number of vehicle stay time segments TiAnd the number J of time segments required for chargingiThe following are calculated respectively:
wherein, Deltatη is the charging efficiency of the charger;is the smallest integer not less than x;is the largest integer no greater than x; b isiThe battery capacity of the electric automobile;the current state of charge of the battery of the electric vehicle; t is tiExpected dwell time for the electric vehicle;the expected electric vehicle state of charge level when the electric vehicle leaves; the charging process is constant power PiAnd (6) charging.
On the basis of the above embodiments, preferably, the electricity price initial stage preliminary calculation unit further includes: and a power price initial stage preliminary calculation unit.
A preliminary calculation subunit for preliminary selection of continuous electricity price at the initial stageThe minimum value of the initial period with the maximum sum of the load margins is the initial period of the low-valley electricity price
On the basis of the above embodiments, preferably, the electricity rate starting stage adjusting unit further includes: a charging load margin calculation subunit, a valley power rate start period adjustment subunit, and a power rate determination subunit.
A charging load margin operator unit for calculating T of the system for leaving the electric vehicle from the current time periodiCharging load margin M in each time periodi(t=1,2,...,Ti):
Mi=AtSTλ,t=1,2,...,Ti
Where λ is the power factor of the charging load, AtRepresents the ratio of the power allowed to charge the electric vehicle by the charging station to the capacity of the transformer in the t-th time period in the day, AtIn [0,1 ]]Value of between, STSetting the rated capacity of the transformer;
a valley price start period adjusting subunit for adjusting the valley price start period to have J after itiCharging load margin M corresponding to time periodt≥PiPosition of
In the formula:
a power rate determining subunit for calculating the adjusted off-peak power rate start periodThereafter, a period of time is determinedThe charging price of the inner user is the valley electricity price plThe charging electricity price in other time periods is the peak electricity price phTo prompt the user.
On the basis of the foregoing embodiments, preferably, the user autonomous response module S430 further includes:
the user can autonomously select to start charging immediately or delay the charging to the valley price.
On the basis of the foregoing embodiments, preferably, the user autonomous response module S430 further includes: and the user autonomous response unit.
A user autonomous response unit for responding according to the selection of the user, and if the user selects to start charging immediately, arranging the electric vehicles to start charging at the corresponding charging load margin M one by one from the next time periodt≥PiUntil scheduledUntil a time period. While charging load margin (A) is applied in the corresponding periodtSTλ) is updated to (A)tSTλ-Pi);
If the user selects to delay the charging to the valley power price, the electric automobile is arranged to start charging fromInitially, one by one at the corresponding charging load margin Mt≥PiUntil schedule JiUntil a time period. While charging load margin (A) is applied in the corresponding periodtSTλ) is updated to (A)tSTλ-Pi)。
In addition to the above embodiments, the present embodiment preferably further includes, after the vehicle staying time and charging period calculating unit: a customer charging requirement satisfaction determination subunit and a maximum satisfaction departure battery charge level calculation subunit.
The client charging requirement meeting judging subunit is used for preliminarily judging whether the client charging requirement can be met according to the retention time and the charging requirement of the newly accessed user; if not, the maximum battery charging level calculation subunit meeting the leaving requirement is accessed; if yes, accessing a preliminary calculation unit in the electricity price initial stage.
On the basis of the foregoing embodiments, it is preferable that the determining whether the customer charging requirement is satisfied subunit further:
calculating T of leaving of the electric vehicle from the current time period by the systemiCharging load margin M in each time periodi(t=1,2,...,Ti):
Mi=AtSTλ,t=1,2,...,Ti
Where λ is the power factor of the charging load, AtRepresents the ratio of the power allowed to charge the electric vehicle by the charging station to the capacity of the transformer in the t-th time period in the day, AtIn [0,1 ]]Value of between, STSetting the rated capacity of the transformer;
calculating T of parking in the vehicle from the current time period by the calculation systemiCharging load margin M in each time periodi(t=1,2,...,Ti) Greater than PiNumber of (2)i
Hi=|Ai|,Ai={t|Mt≥Pi,t=1,2,...,Ti}
Wherein, | AiIs set AiThe number of elements in the table.
If H isi<JiIf so, the system cannot meet the charging requirement input by the user within the parking time of the electric automobile. Therefore, the state of charge of the battery of the electric automobile which can be maximally met by the system when the user leaves can be calculated
Because the electric automobile needs to be charged all the time during the parking time, the charging station can prompt the user of the state of charge of the battery which can be met by the system to the maximum extentAnd prompts the user to press the peak price phCharging is performed and the user autonomously selects whether to accept the charging service or to abandon the service.
On the basis of the foregoing embodiments, preferably, the user autonomous response module S430 is further configured to:
if the user receives the charging service, arranging the electric automobile to be in the charging load margin Mt(t=1,2,...,Ti) Charging is performed for a period greater than the predetermined period, and the charging load margin (A) is set for the corresponding periodtSTλ) is updated to (A)tSTλ-Pi)。
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A control method for orderly charging of an electric vehicle is characterized by comprising the following steps:
acquiring the charging requirement of the electric automobile;
formulating a time-of-use electricity price according to the charging demand and the system running state;
and the user autonomously responds to the time-of-use electricity price and determines a charging plan.
2. The method of claim 1, wherein the obtaining of the electric vehicle charge is performed in an orderly mannerWhen the electricity is required, the method further comprises the following steps: obtaining battery capacity B of electric automobileiCurrent state of charge of battery of electric vehicleExpected residence time t of electric vehicleiAnd expected electric vehicle state of charge level when the electric vehicle leaves
3. The method for controlling orderly charging of the electric vehicle according to claim 2, further comprising, when making the time-of-use electricity price according to the charging demand and the system operation state:
calculating the number T of the vehicle stay time sectionsiAnd the number J of time segments required for chargingi
Preliminarily calculating an optimal time-of-use valley electricity price starting time period;
and adjusting the optimal time-of-use valley electricity price starting time period, formulating the electricity price and prompting the user.
4. The control method for orderly charging of an electric vehicle according to claim 3, wherein the number T of the stay time sections of the vehicle is calculatediAnd the number J of time segments required for chargingiMeanwhile, the method also comprises the following steps:
number of vehicle stay time segments TiAnd the number J of time segments required for chargingiThe following are calculated respectively:
wherein, Deltatη is the charging efficiency of the charger;is the smallest integer not less than x;is the largest integer no greater than x; b isiThe battery capacity of the electric automobile;the current state of charge of the battery of the electric vehicle; t is tiExpected dwell time for the electric vehicle;the expected electric vehicle state of charge level when the electric vehicle leaves; the charging process is constant power PiAnd (6) charging.
5. The control method for orderly charging of an electric vehicle according to claim 3, further comprising, at the time of preliminarily calculating the optimum time-of-use valley electricity rate start time period:
preliminary selection continuationThe minimum value of the initial period with the maximum sum of the load margins is the initial period of the low-valley electricity price
<mrow> <msubsup> <mi>t</mi> <mi>i</mi> <mrow> <mi>s</mi> <mo>*</mo> </mrow> </msubsup> <mo>=</mo> <mi>min</mi> <mrow> <mo>{</mo> <mrow> <munder> <mrow> <mi>arg</mi> <mi>max</mi> </mrow> <mrow> <msubsup> <mi>t</mi> <mi>i</mi> <mrow> <mi>s</mi> <mo>*</mo> </mrow> </msubsup> <mo>&amp;Element;</mo> <mrow> <mo>&amp;lsqb;</mo> <mrow> <mn>1</mn> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>=</mo> <msub> <mi>J</mi> <mi>i</mi> </msub> <mo>+</mo> <mn>1</mn> </mrow> <mo>&amp;rsqb;</mo> </mrow> <mo>,</mo> <msubsup> <mi>t</mi> <mi>t</mi> <mrow> <mi>s</mi> <mo>*</mo> </mrow> </msubsup> <mo>&amp;Element;</mo> <mi>N</mi> </mrow> </munder> <mrow> <mo>(</mo> <mrow> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>t</mi> <msubsup> <mo>=</mo> <mi>i</mi> <mrow> <mi>s</mi> <mo>*</mo> </mrow> </msubsup> </mrow> <mrow> <msubsup> <mi>t</mi> <mi>i</mi> <mrow> <mi>s</mi> <mo>*</mo> </mrow> </msubsup> <mo>+</mo> <msub> <mi>J</mi> <mi>i</mi> </msub> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <msub> <mi>M</mi> <mi>t</mi> </msub> </mrow> <mo>)</mo> </mrow> </mrow> <mo>}</mo> </mrow> <mo>.</mo> </mrow>
6. The method for controlling orderly charging of an electric vehicle according to claim 3, further comprising, when adjusting the optimal time-of-use valley electricity price starting time period and formulating the electricity price and prompting the user:
calculating T of leaving of the electric vehicle from the current time period by the systemiCharging load margin M in each time periodi(t=1,2,...,Ti):
Mi=AtSTλ,t=1,2,...,Ti
Where λ is the power factor of the charging load, AtRepresents the ratio of the power allowed to charge the electric vehicle by the charging station to the capacity of the transformer in the t-th time period in the day, AtIn [0,1 ]]Value of between, STSetting the rated capacity of the transformer;
adjusting the off-peak electricity price onset period to be followed by JiCharging load margin M corresponding to time periodt≥PiPosition of
<mrow> <msubsup> <mover> <mi>t</mi> <mo>^</mo> </mover> <mi>i</mi> <mrow> <mi>s</mi> <mo>*</mo> </mrow> </msubsup> <mo>=</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> <mo>{</mo> <msubsup> <mi>t</mi> <mi>i</mi> <mi>s</mi> </msubsup> <mo>|</mo> <mo>|</mo> <msub> <mi>C</mi> <msubsup> <mi>t</mi> <mi>i</mi> <mi>s</mi> </msubsup> </msub> <mo>|</mo> <mo>&amp;GreaterEqual;</mo> <msub> <mi>J</mi> <mi>i</mi> </msub> <mo>,</mo> <mn>1</mn> <mo>&amp;le;</mo> <msubsup> <mi>t</mi> <mi>i</mi> <mi>s</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>t</mi> <mi>i</mi> <mrow> <mi>s</mi> <mo>*</mo> </mrow> </msubsup> <mo>,</mo> <msubsup> <mi>t</mi> <mi>i</mi> <mi>s</mi> </msubsup> <mo>&amp;Element;</mo> <mi>N</mi> <mo>}</mo> <mo>;</mo> </mrow>
In the formula:
at the initial time of the calculated adjusted off-peak electricity priceThereafter, a period of time is determinedThe charging price of the inner user is the valley electricity price plThe charging electricity price in other time periods is the peak electricity price phTo prompt the user.
When the user autonomously responds to the time-of-use electricity price and determines the charging plan, the method further comprises the following steps:
the user can autonomously select to start charging immediately or delay the charging to the valley price.
7. The method for controlling orderly charging of an electric vehicle according to claim 6, further comprising, when the charging is started immediately or delayed to the valley power rate by the user's own selection, the step of:
if the user selects to start charging immediately, the electric automobile is arranged to start charging in the corresponding charging load margin M one by one from the next time periodt≥PiUntil scheduledUntil a time period. While charging load margin (A) is applied in the corresponding periodtSTλ) is updated to (A)tSTλ-Pi);
If the user selects to delay the charging to the valley power price, the electric automobile is arranged to start charging fromInitially, one by one at the corresponding charging load margin Mt≥PiUntil scheduledUntil a time period. While charging load margin (A) is applied in the corresponding periodtSTλ) is updated to (A)tSTλ-Pi)。
8. The control method for orderly charging of an electric vehicle according to claim 3, wherein the number T of the stay time sections of the vehicle is calculatediAnd the number J of time segments required for chargingiThen, the method further comprises the following steps:
according to the residence time and the charging requirement of a newly accessed user, preliminarily judging whether the charging requirement of the user can be met;
if not, calculating the maximum battery charging level when the system leaves and prompting the user;
if yes, the optimal time-of-use valley electricity price initial time period is preliminarily calculated.
9. The method for controlling orderly charging of an electric vehicle according to claim 8, when preliminarily determining whether the charging requirement of the client can be satisfied according to the staying time and the charging requirement of the newly accessed user, further comprising:
calculating T of leaving of the electric vehicle from the current time period by the systemiCharging load margin M in each time periodi(t=1,2,...,Ti):
Mi=AtSTλ,t=1,2,...,Ti
Where λ is the power factor of the charging load, AtRepresents the ratio of the power allowed to charge the electric vehicle by the charging station to the capacity of the transformer in the t-th time period in the day, AtIn [0,1 ]]Value of between, STSetting the rated capacity of the transformer;
calculating T of parking in the vehicle from the current time period by the calculation systemiCharging load margin M in each time periodi(t=1,2,...,Ti) Greater than PiNumber of (2)i
Hi=|Ai|,Ai={t|Mt≥Pi,t=1,2,...,Ti}
Wherein, | AiIs set AiThe number of elements in the table.
If H isi<JiIf so, the system cannot meet the charging requirement input by the user within the parking time of the electric automobile. Therefore, the state of charge of the battery of the electric automobile which can be maximally met by the system when the user leaves can be calculated
<mrow> <msubsup> <mi>S</mi> <mi>i</mi> <mrow> <mi>D</mi> <mo>,</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msubsup> <mo>=</mo> <msubsup> <mi>s</mi> <mi>i</mi> <mi>A</mi> </msubsup> <mo>+</mo> <mfrac> <mrow> <msub> <mi>H</mi> <mi>i</mi> </msub> <mo>&amp;times;</mo> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>&amp;times;</mo> <mi>&amp;eta;</mi> <mo>&amp;times;</mo> <mi>&amp;Delta;</mi> <mi>t</mi> </mrow> <msub> <mi>B</mi> <mi>i</mi> </msub> </mfrac> <mo>;</mo> </mrow>
Because the electric automobile needs to be charged all the time during the parking time, the charging station can prompt the user of the state of charge of the battery which can be met by the system to the maximum extentAnd prompts the user to press the peak price phCharging is carried out, and whether to connect or not is selected by the userCharged service or service relinquishing.
When the user autonomously responds to the time-of-use electricity price and determines the charging plan, the method further comprises the following steps:
if the user receives the charging service, arranging the electric automobile to be in the charging load margin Mt(t=1,2,...,Ti) Charging is performed for a period greater than the predetermined period, and the charging load margin (A) is set for the corresponding periodtSTλ) is updated to (A)tSTλ-Pi)。
10. The utility model provides a controlling means that electric motor car charges in order which characterized in that includes:
the charging demand acquisition module is used for acquiring the charging demand of the electric automobile;
the time-of-use electricity price formulating module is used for formulating time-of-use electricity price according to the charging requirement and the system running state;
and the user autonomous response module is used for autonomously responding the time-of-use electricity price by the user and determining a charging plan.
CN201711056887.6A 2017-10-27 2017-10-27 The control method and device that a kind of electric car charges in order Pending CN107696904A (en)

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109177802A (en) * 2018-10-18 2019-01-11 国网甘肃省电力公司电力科学研究院 A kind of orderly charging system of electric car based on wireless communication and its method
CN109353244A (en) * 2018-10-08 2019-02-19 山东积成智通新能源有限公司 A kind of control method and system that electric car intelligently orderly charges
CN109693575A (en) * 2018-12-24 2019-04-30 恒大智慧科技(深圳)有限公司 Charging method, computer equipment and storage medium
CN109849723A (en) * 2019-02-20 2019-06-07 东南大学 A kind of orderly charge control method of electric car based on charging station power margin
CN110271448A (en) * 2019-06-10 2019-09-24 南方科技大学 Charging scheduling method and system for charging station and charging station
CN110422075A (en) * 2019-07-11 2019-11-08 饶国兰 A kind of charging pile equipped with key delay charge function
CN110712559A (en) * 2019-10-18 2020-01-21 浙江海洋大学 Electric vehicle economical charging method based on time-of-use pricing of electric charges
CN111674276A (en) * 2020-06-11 2020-09-18 国网重庆市电力公司营销服务中心 Electric automobile ordered charging control method and system
CN111823927A (en) * 2020-07-31 2020-10-27 广州小鹏汽车科技有限公司 Data processing method, device and system
CN111845422A (en) * 2019-04-29 2020-10-30 北京车和家信息技术有限公司 Charging method and device
CN112721711A (en) * 2021-01-15 2021-04-30 北京和信瑞通电力技术股份有限公司 Orderly power utilization system based on orderly charging core control unit
CN113972678A (en) * 2021-11-15 2022-01-25 国网江苏省电力有限公司常州供电分公司 Method and device for controlling charging behavior of electric automobile in commercial building
CN114425963A (en) * 2022-02-08 2022-05-03 广东省万谷能源技术有限公司 Charging load adjusting method for electric vehicle

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090210357A1 (en) * 2007-10-04 2009-08-20 General Motors Corporation Remote power usage management for plug-in vehicles
CN103683424A (en) * 2013-12-17 2014-03-26 清华大学 Electric vehicle charging station sequential charging control method based on dynamic time-of-use electricity price
CN105515110A (en) * 2016-01-01 2016-04-20 三峡大学 Electric automobile ordered charging real-time control system
CN105515030A (en) * 2015-11-27 2016-04-20 中国电力科学研究院 Ordered charging method of electric cars connected to power grid
CN109094381A (en) * 2017-06-20 2018-12-28 南京理工大学 A kind of orderly charging method of electric automobile charging station

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090210357A1 (en) * 2007-10-04 2009-08-20 General Motors Corporation Remote power usage management for plug-in vehicles
CN103683424A (en) * 2013-12-17 2014-03-26 清华大学 Electric vehicle charging station sequential charging control method based on dynamic time-of-use electricity price
CN105515030A (en) * 2015-11-27 2016-04-20 中国电力科学研究院 Ordered charging method of electric cars connected to power grid
CN105515110A (en) * 2016-01-01 2016-04-20 三峡大学 Electric automobile ordered charging real-time control system
CN109094381A (en) * 2017-06-20 2018-12-28 南京理工大学 A kind of orderly charging method of electric automobile charging station

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109353244A (en) * 2018-10-08 2019-02-19 山东积成智通新能源有限公司 A kind of control method and system that electric car intelligently orderly charges
CN109177802A (en) * 2018-10-18 2019-01-11 国网甘肃省电力公司电力科学研究院 A kind of orderly charging system of electric car based on wireless communication and its method
CN109693575A (en) * 2018-12-24 2019-04-30 恒大智慧科技(深圳)有限公司 Charging method, computer equipment and storage medium
CN109849723A (en) * 2019-02-20 2019-06-07 东南大学 A kind of orderly charge control method of electric car based on charging station power margin
CN109849723B (en) * 2019-02-20 2021-07-20 东南大学溧阳研究院 Electric vehicle ordered charging control method based on charging station power margin
CN111845422A (en) * 2019-04-29 2020-10-30 北京车和家信息技术有限公司 Charging method and device
CN111845422B (en) * 2019-04-29 2022-06-24 北京车和家信息技术有限公司 Charging method and device
CN110271448A (en) * 2019-06-10 2019-09-24 南方科技大学 Charging scheduling method and system for charging station and charging station
CN110422075A (en) * 2019-07-11 2019-11-08 饶国兰 A kind of charging pile equipped with key delay charge function
CN110712559A (en) * 2019-10-18 2020-01-21 浙江海洋大学 Electric vehicle economical charging method based on time-of-use pricing of electric charges
CN111674276A (en) * 2020-06-11 2020-09-18 国网重庆市电力公司营销服务中心 Electric automobile ordered charging control method and system
CN111674276B (en) * 2020-06-11 2021-10-26 国网重庆市电力公司营销服务中心 Electric automobile ordered charging control method and system
CN111823927A (en) * 2020-07-31 2020-10-27 广州小鹏汽车科技有限公司 Data processing method, device and system
CN111823927B (en) * 2020-07-31 2021-07-13 广州小鹏汽车科技有限公司 Data processing method, device and system
CN112721711A (en) * 2021-01-15 2021-04-30 北京和信瑞通电力技术股份有限公司 Orderly power utilization system based on orderly charging core control unit
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CN114425963A (en) * 2022-02-08 2022-05-03 广东省万谷能源技术有限公司 Charging load adjusting method for electric vehicle

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