CN117634914A

CN117634914A - Service policy information generation method and device for multi-power charging station

Info

Publication number: CN117634914A
Application number: CN202311598699.1A
Authority: CN
Inventors: 尹卿宇; 李立理; 张剑; 李树军; 刘晓楠; 徐科; 祖国强; 向亚轩; 董得龙; 郭凌旭; 任博强; 张智达; 郝爽; 李少雄; 张海宁; 赵越; 王智爽
Original assignee: State Grid Corp of China SGCC; State Grid Tianjin Electric Power Co Ltd; Electric Power Research Institute of State Grid Tianjin Electric Power Co Ltd; Sichuan Energy Internet Research Institute EIRI Tsinghua University
Current assignee: State Grid Corp of China SGCC; State Grid Tianjin Electric Power Co Ltd; Electric Power Research Institute of State Grid Tianjin Electric Power Co Ltd; Sichuan Energy Internet Research Institute EIRI Tsinghua University
Priority date: 2023-11-27
Filing date: 2023-11-27
Publication date: 2024-03-01

Abstract

The invention provides a service strategy information generation method and device for a multi-power charging station, which can be applied to the technical field of information technology. The service policy information generation method of the multi-power charging station comprises the following steps: responding to a received service strategy information generation request aiming at a target charging station, and acquiring a charging resource state parameter, a charging demand parameter and a charging service parameter of the target charging station; constructing a target optimization function and boundary conditions according to the state parameters of the charging resources, the charging demand parameters, the charging service basic parameters, the service weight parameters corresponding to the power of the charging pile and the full load parameters of a preset target charging station; and processing the target optimization function based on the boundary condition to obtain target charging service weight parameter information and charging service basic parameter information corresponding to the power parameter of the charging pile, and generating target service strategy information.

Description

Service policy information generation method and device for multi-power charging station

Technical Field

The present invention relates to the field of information technologies, and in particular, to a method and an apparatus for generating service policy information of a multi-power charging station.

Background

In the related art, service balance of multiple stations is realized mainly by configuring different service strategies for different charging stations. At present, in order to meet the demands of different users, charging piles with different charging powers are arranged in the same charging station, but the charging piles with different charging powers still adopt the same service cost service strategy, so that the phenomenon that the slow charging vehicle occupies the fast charging pile occurs, the multi-power charging pile in the charging station is difficult to reasonably utilize, and the user experience is reduced.

Disclosure of Invention

In view of the above problems, the present invention provides a service policy information generating method and apparatus for a multi-power charging station.

According to a first aspect of the present invention, there is provided a service policy information generation method of a multi-power charging station, comprising:

responding to a received service strategy information generation request aiming at a target charging station, and acquiring a charging resource state parameter, a charging demand parameter and a charging service parameter of the target charging station, wherein the charging service parameter comprises a charging service basic parameter and a service weight parameter corresponding to the power of a charging pile;

constructing a target optimization function and boundary conditions according to the state parameters of the charging resources, the charging demand parameters, the charging service basic parameters, the service weight parameters corresponding to the power of the charging pile and the preset full load parameters of the target charging station;

Processing the target optimization function based on the boundary condition to obtain target charging service weight parameter information and charging service basic parameter information corresponding to the power parameter of the charging pile;

and generating target service strategy information according to the target charging service basic parameter information and the target charging service weight parameter corresponding to the power information of the charging pile.

According to an embodiment of the present invention, the above-mentioned charging demand parameters include: the method comprises the steps of enabling a user to arrive at a target charging station, enabling attribute parameters of decision intention of the user and state parameters of a vehicle to be charged;

constructing a target optimization function and boundary conditions according to the charge resource state parameter, the charge demand parameter, the charge service basic parameter, the service weight parameter corresponding to the power of the charging pile and the predetermined full load parameter of the target charging station, wherein the method comprises the following steps:

constructing a user satisfaction function and a benefit function of a charging station according to the state parameter of the charging resource, the time parameter, the state parameter of the vehicle to be charged and the attribute parameter of the user decision intention;

constructing a utilization rate function of the charging station according to the state parameters of the charging resources and the preset full load parameters of the charging station;

And constructing boundary conditions based on the association relationship between the user satisfaction function and the initial user satisfaction of the target charging station, the association relationship between the benefit function of the charging station and the initial benefit of the target charging station, and the association relationship between the utilization rate function of the charging station and the initial utilization rate.

According to the embodiment of the invention, the attribute parameters of the user decision intention comprise a cost satisfaction preference coefficient and a time satisfaction preference coefficient;

the constructing a user satisfaction function and a benefit function of a charging station according to the state parameter of the charging resource, the time parameter, the state parameter of the vehicle to be charged and the attribute parameter of the user decision intention includes:

constructing a user charging cost satisfaction function according to the state parameters of the vehicle to be charged, the state parameters of the charging resources and the charging service parameters;

constructing a user charging time satisfaction function according to the state parameters of the vehicle to be charged and the state parameters of the charging resources;

generating the user satisfaction function according to the cost satisfaction preference coefficient, the time satisfaction preference coefficient, the user charging cost satisfaction function and the user charging time satisfaction function;

And generating a benefit function of the charging station according to the user charging time satisfaction function and a preset satisfaction threshold.

According to an embodiment of the present invention, the constructing a user charging cost satisfaction function according to the state parameter of the vehicle to be charged, the state parameter of the charging resource, and the charging service parameter includes:

determining an actual charging resource corresponding to the vehicle to be charged according to the state parameter of the vehicle to be charged and the state parameter of the charging resource;

determining a first target charging resource corresponding to the vehicle to be charged according to the state parameter of the vehicle to be charged;

and constructing the user charging cost satisfaction function according to the state parameter of the actual charging resource, the charging service parameter corresponding to the actual charging resource, the state parameter of the first target charging resource and the charging service parameter corresponding to the first target charging resource.

According to an embodiment of the present invention, the state parameter of the first target charging resource includes a state of charge parameter of the first target charging resource and a capacity parameter of the first target charging resource; the charging service parameters comprise capacity service parameters and electric quantity service parameters;

The state parameters of the actual charging resources comprise the state of charge parameters of the actual charging resources and the capacity parameters of the actual charging resources;

the constructing the user charging cost satisfaction function according to the state parameter of the actual charging resource, the charging service parameter corresponding to the actual charging resource, the state parameter of the first target charging resource, and the charging service parameter corresponding to the first target charging resource includes:

generating a user actual charging cost parameter according to the charge state parameter of the actual charging resource, the capacity service parameter corresponding to the actual charging and the electric quantity service parameter;

generating a user target charging cost parameter according to the charge state parameter of the first target charging resource, the capacity service parameter corresponding to the target charging and the electric quantity service parameter;

and constructing the user charging cost satisfaction function according to the user charging actual cost parameter and the user target charging cost parameter.

According to an embodiment of the present invention, the state parameter of the charging resource includes a used state parameter of the charging resource corresponding to the time parameter and a power parameter of the charging resource; the state parameters of the vehicle to be charged comprise attribute parameters of the vehicle to be charged and required charging electric quantity parameters of the vehicle to be charged;

Constructing a user charging time satisfaction function according to the state parameters of the vehicle to be charged and the state parameters of the charging resources; comprising the following steps:

determining a second target charging resource matched with the vehicle to be charged according to the attribute parameters of the vehicle to be charged;

generating an actual charging duration parameter of the vehicle to be charged according to the used state parameter of the second target charging resource and the required charging electric quantity parameter of the vehicle to be charged;

generating a target charging duration parameter of the vehicle to be charged according to the required charging electric quantity parameter of the vehicle to be charged and the power parameter of the second target charging resource;

and constructing the user charging time satisfaction function according to the charging time parameter of the vehicle to be charged, the actual charging time parameter of the vehicle to be charged and the preset maximum charging time receivable by the user.

According to an embodiment of the present invention, the state parameter of the charging resource includes a usage state parameter of the charging resource and a power parameter of the charging resource;

the construction of the utilization function of the charging station according to the state parameter of the charging resource and the predetermined full load parameter of the charging station comprises the following steps:

Determining a charging resource in use and a power parameter of the charging resource in use according to the using state parameter of the charging resource;

and constructing a utilization rate function of the charging station according to the power parameter of the charging resource in use and the full load parameter of the preset charging station.

A second aspect of the present invention provides a service policy information generating apparatus of a multi-power charging station, comprising: the device comprises an acquisition module, a construction module, an acquisition module and a generation module.

The system comprises an acquisition module, a charging pile and a charging module, wherein the acquisition module is used for responding to a received service strategy information generation request aiming at a target charging station to acquire a charging resource state parameter, a charging demand parameter and a charging service parameter of the target charging station, wherein the charging service parameter comprises a charging service basic parameter and a service weight parameter corresponding to the power of the charging pile;

the construction module is used for constructing a target optimization function and boundary conditions according to the state parameters of the charging resources, the charging demand parameters, the charging service basic parameters, the service weight parameters corresponding to the power of the charging pile and the preset full load parameters of the target charging station;

The obtaining module is used for processing the target optimization function based on the boundary condition to obtain target charging service weight parameter information and charging service basic parameter information corresponding to the power parameter of the charging pile;

and the generation module is used for generating target service strategy information according to the target charging service basic parameter information and the target charging service weight parameter corresponding to the power information of the charging pile.

A third aspect of the present invention provides an electronic device comprising: one or more processors; and a memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the service policy information generation method of the multi-power charging station.

A fourth aspect of the present invention also provides a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the service policy information generation method of a multi-power charging station described above.

According to the service policy information generation method, device, equipment and medium of the multi-power charging station, the charging resource state parameter, the charging demand parameter and the charging service parameter of the target charging station are obtained by responding to the received service policy information generation request aiming at the target charging station, wherein the charging service parameter comprises a charging service basic parameter and a service weight parameter corresponding to the power of a charging pile; constructing a target optimization function and boundary conditions according to the state parameters of the charging resources, the charging demand parameters, the charging service basic parameters, the service weight parameters corresponding to the power of the charging pile and the preset full load parameters of the target charging station; processing the target optimization function based on the boundary condition to obtain target charging service weight parameter information and charging service basic parameter information corresponding to the power parameter of the charging pile; and generating target service strategy information according to the target charging service basic parameter information and the target charging service weight parameter corresponding to the power information of the charging pile.

According to the embodiment of the invention, the multi-objective optimization function and boundary conditions are constructed according to the parameters such as the power of the charging pile of the target charging station, the use state of the charging pile, the charging requirement and the like, so that the service parameters of the charging pile aiming at different powers are obtained, the use rate of the charging station is improved, and the user experience is further improved.

Drawings

The foregoing and other objects, features and advantages of the invention will be apparent from the following description of embodiments of the invention with reference to the accompanying drawings, in which:

fig. 1 shows an application scenario diagram of a service policy information generation method of a multi-power charging station according to an embodiment of the present invention;

fig. 2 shows a flowchart of a service policy information generation method of a multi-power charging station according to an embodiment of the present invention;

FIG. 3 illustrates a flow chart of a method of constructing a target optimization function and boundary conditions in accordance with an embodiment of the invention;

FIG. 4 illustrates a flow chart of a method of constructing a user charging cost satisfaction function, according to an embodiment of the invention;

FIG. 5 illustrates a flow chart of a method of constructing a user charge time satisfaction function, according to an embodiment of the invention;

fig. 6 is a block diagram showing a structure of a service policy information generating device of a multi-power charging station according to an embodiment of the present invention; and

Fig. 7 shows a block diagram of an electronic device adapted to implement a service policy information generation method of a multi-power charging station according to an embodiment of the present invention.

Detailed Description

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. It should be understood that the description is only illustrative and is not intended to limit the scope of the invention. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the invention. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the present invention.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where expressions like at least one of "A, B and C, etc. are used, the expressions should generally be interpreted in accordance with the meaning as commonly understood by those skilled in the art (e.g.," a system having at least one of A, B and C "shall include, but not be limited to, a system having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the technical scheme of the invention, the related user information (including but not limited to user personal information, user image information, user equipment information, such as position information and the like) and data (including but not limited to data for analysis, stored data, displayed data and the like) are information and data authorized by a user or fully authorized by all parties, and the processing of the related data such as collection, storage, use, processing, transmission, provision, disclosure, application and the like are all conducted according to the related laws and regulations and standards of related countries and regions, necessary security measures are adopted, no prejudice to the public welfare is provided, and corresponding operation inlets are provided for the user to select authorization or rejection.

In the process of realizing the invention, in the prior art, the balance of multiple charging stations is realized mainly by setting the service parameters of different charging stations, but under the condition that the service parameters of the same charging station are the same, the situation that the slow charging vehicle occupies the super-charging pile is caused, and further, the user satisfaction degree is reduced and the utilization rate of the charging stations is reduced.

In view of the above, the present invention provides a service policy information generating method of a multi-power charging station, including: responding to a received service policy information generation request aiming at a target charging station, and acquiring a charging resource state parameter, a charging demand parameter and a charging service parameter of the target charging station, wherein the charging service parameter comprises a charging service basic parameter and a service weight parameter corresponding to the power of a charging pile; constructing a target optimization function and boundary conditions according to the state parameters of the charging resources, the charging demand parameters, the charging service basic parameters, the service weight parameters corresponding to the power of the charging pile and the full load parameters of a preset target charging station; processing the target optimization function based on the boundary condition to obtain target charging service weight parameter information and charging service basic parameter information corresponding to the power parameter of the charging pile; and generating target service strategy information according to the target charging service basic parameter information and the target charging service weight parameter corresponding to the power information of the charging pile.

Fig. 1 illustrates an application scenario diagram of a service policy information generation method of a multi-power charging station according to an embodiment of the present invention.

As shown in fig. 1, an application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is a medium used to provide a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 via the network 104 using the first terminal device 101, the second terminal device 102, the third terminal device 103, to receive or send messages etc. Various communication client applications, such as a shopping class application, a web browser application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc. (by way of example only) may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103.

The first terminal device 101, the second terminal device 102, the third terminal device 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by the user using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that, the service policy information generating method of the multi-power charging station according to the embodiment of the present invention may be generally executed by the server 105. Accordingly, the service policy information generating device of the multi-power charging station provided by the embodiment of the present invention may be generally disposed in the server 105. The service policy information generation method of the multi-power charging station provided by the embodiment of the present invention may also be performed by a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and/or the server 105. Accordingly, the service policy information generating device of the multi-power charging station provided by the embodiment of the present invention may also be provided in a server or a server cluster that is different from the server 105 and is capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103 and/or the server 105.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The service policy information generation method of the multi-power charging station of the disclosed embodiment will be described in detail below with reference to fig. 2 to 5 based on the scenario described in fig. 1.

Fig. 2 shows a flowchart of a service policy information generation method of a multi-power charging station according to an embodiment of the present invention.

As shown in fig. 2, the service policy information generation method 200 of the multi-power charging station of this embodiment includes operations S210 to S240.

In operation S210, a charge resource status parameter, a charge demand parameter, and a charge service parameter of a target charging station are acquired in response to a received service policy information generation request for the target charging station.

In operation S220, a target optimization function and boundary conditions are constructed according to the charge resource status parameter, the charge demand parameter, the charge service base parameter, the service weight parameter corresponding to the power of the charge pile, and the full load parameter of the predetermined target charging station.

In operation S230, the target optimization function is processed based on the boundary condition to obtain target charging service weight parameter information and charging service base parameter information corresponding to the power parameter of the charging pile.

In operation S240, target service policy information is generated according to the target charging service base parameter information and the target charging service weight parameter corresponding to the power information of the charging stake.

According to the embodiment of the invention, the charging resource state parameters of the target charging station may include a type of charging pile of the target charging station, a number corresponding to the type of charging pile of the target charging station, power of the super-charging pile and the normal pile of the target charging station, an occupancy state of the super-charging pile and the normal pile of the target charging station, and a charge state of the super-charging pile and the normal pile of the target charging station. The categories of charging piles of the target charging station may include super-charging piles and general piles. The number corresponding to the category of the target charging station charging piles may include the number of the super charging piles and the number of the normal piles. The power of the super-charging pile and the normal pile of the target charging station may include the super-charging pile power and the normal pile power. The use states of the super-charging pile and the common pile of the target charging station can represent the use states of the super-charging pile and the common pile. The charge states of the target charging station super-charging pile and the common pile can represent the electric quantity of the super-charging pile and the common pile.

According to an embodiment of the present invention, the charging demand parameters of the target charging station may include the number of vehicles reaching the target charging station in each time period, the amount of the vehicles, and the kind of the vehicles. The vehicle categories may include fast-fill vehicles and slow-fill vehicles. The charge demand parameters of the target charging station may be determined from historical data.

According to an embodiment of the present invention, the charging service parameters of the target charging station include a charging service base parameter and a service weight parameter corresponding to the power of the charging pile. The charging service parameters of the target charging station may include a super-charging pile charging service parameter and a slow-charging pile charging service parameter.

According to an embodiment of the present invention, the objective optimization function may be constructed based on a user satisfaction function, a benefit function of the charging station, and a utilization function of the charging station.

According to the embodiment of the invention, the boundary condition can limit the minimum value of the income of the optimized charging station, the utilization rate of the charging station and the user satisfaction degree of the charging station.

According to an embodiment of the present invention, the power information of the target charging station charging pile may include the power of the super-charging pile and the normal pile of the target charging station.

According to an embodiment of the present invention, the objective optimization function may include a user satisfaction objective optimization function, a charge station utilization objective optimization function, and a charge station revenue objective optimization function.

FIG. 3 illustrates a flow chart of a method of constructing an objective optimization function and boundary conditions in accordance with an embodiment of the present invention.

As shown in FIG. 3, the method 300 of constructing the objective optimization function and boundary conditions includes operations S310-S330.

In operation S310, a user satisfaction function and a benefit function of the charging station are constructed according to the state parameter of the charging resource, the time parameter, the state parameter of the vehicle to be charged, and the attribute parameter of the user decision intention.

In operation S320, a utilization function of the charging station is constructed according to the state parameter of the charging resource and the predetermined full load parameter of the charging station.

In operation S330, a boundary condition is constructed based on an association relationship between the user satisfaction function and the initial user satisfaction of the target charging station, an association relationship between the benefit function of the charging station and the initial benefit of the target charging station, and an association relationship between the utilization function of the charging station and the initial utilization.

According to embodiments of the present invention, the time of day parameter of the user's arrival at the target charging station may characterize the time of arrival of the user at the target charging station.

According to an embodiment of the present invention, the charging demand parameters may include a time parameter of arrival of the user at the target charging station, an attribute parameter of user decision intention, and a state parameter of the vehicle to be charged.

According to the embodiment of the invention, the target optimization function and the boundary condition can be constructed according to the charging resource state parameter, the charging demand parameter, the charging service basic parameter, the service weight parameter corresponding to the power of the charging pile and the full load parameter of the preset target charging station.

According to an embodiment of the present invention, the state parameter of the vehicle to be charged may include a kind of the vehicle to be charged and an amount of electricity required by the vehicle to be charged. For example: the types of vehicles to be charged may include fast-charging vehicles and slow-charging vehicles.

According to an embodiment of the invention, the charge resource status parameter may characterize the charge load of each charging station at a certain moment in time.

According to embodiments of the present invention, the user satisfaction threshold may characterize the minimum satisfaction of the user. In the event that the user satisfaction is greater than the user satisfaction threshold, the user remains at the charging station waiting. In the event that the user satisfaction is less than the user satisfaction threshold, the user leaves the charging farm power station.

According to an embodiment of the present invention, the user satisfaction function may include a user charging time satisfaction function and a user charging cost satisfaction function.

A benefit function of the charging station may be generated based on the user charging time satisfaction function and the predetermined satisfaction threshold. The user satisfaction threshold may be expressed using the following formula (1):

Wherein D is _i，j A value equal to 1 indicates that the user will remain in the charging station for charging, D _i，j A value equal to 0 indicates that the user will leave and β is the lowest satisfaction that the user will remain charged at the charging station.

According to an embodiment of the present invention, the objective optimization function may include a user satisfaction objective optimization function, a charge station utilization objective optimization function, and a charge station revenue objective optimization function. Wherein, the gain objective optimization function maxf of the charging station ₁ Is calculated as follows, equation (2) and equation (3):

wherein,representing the actual charging cost of the jth user of the ith class, R _T，r Representing the value parameter of the capacity service unit of the charging pile actually selected by the user, D _T，r And the value parameter of the electric quantity service unit of the charging pile which is actually selected by the user is represented.

According to the embodiment of the invention, the profit boundary condition can be determined based on the association relationship between the profit target optimization function of the charging station and the initial profit of the target charging station. That is, the profit of the optimized charging station should not be lower than the profit before optimization, and can be expressed by the following formula (4):

wherein C is _0，t Representing the charge cost before optimization, T _c，i The actual charging time length of the ith user is represented by I, I represents an indicator function related to the charging time, I is 1 in the case of charging, I is 0 in the case of no charging, and p represents the charging power of the charging pile actually selected.

According to the embodiment of the invention, the charging service basic parameters and the service weight parameters corresponding to the power of the charging pile can be determined by constructing the target optimization function and the boundary condition, so that the service parameters of the charging pile aiming at different powers are obtained, and the utilization rate of the charging station is improved, and further the user experience is improved.

The user satisfaction objective optimization function may include a user charge cost satisfaction function and a user charge time satisfaction function. For example: the user charging cost satisfaction function can be constructed according to the state parameters of the vehicle to be charged, the state parameters of the charging resources and the charging service parameters.

FIG. 4 illustrates a flow chart of a method of constructing a user charging cost satisfaction function, according to an embodiment of the invention.

As shown in fig. 4, the method 400 of constructing the user charging cost satisfaction function includes operations S410 to S430.

In operation S410, an actual charging resource corresponding to the vehicle to be charged is determined according to the state parameter of the vehicle to be charged and the state parameter of the charging resource.

In operation S420, a first target charging resource corresponding to the vehicle to be charged is determined according to the state parameter of the vehicle to be charged.

In operation S430, a user charging cost satisfaction function is constructed according to the state parameter of the actual charging resource, the charging service parameter corresponding to the actual charging resource, the state parameter of the first target charging resource, and the charging service parameter corresponding to the first target charging resource.

According to the embodiment of the invention, the satisfaction degree of the charging cost of the user is related to the charging cost generated by the actual charging and the charging cost generated by the charging pile which is selected to be the best match with the power of the vehicle to be charged. Calculation of charging costs resulting from actual charging C _T The following formula (5):

C _T ＝(SOC _f -SOC _i )C _ba ·(R _T +D _T )

(5)

wherein C is _ba Represents battery capacity, R _T Representing corresponding capacity service parameters of the charging pile, D _T Representing electric quantity service parameters corresponding to charging piles and SOC _f Indicating the state of charge, SOC, of a vehicle to be charged arriving at a charging station _i Indicating the state of charge of the vehicle to be charged when driving off the charging station.

According to an embodiment of the present invention, user types may be classified into a time-sensitive type, a cost-sensitive type, and a time-cost balanced type.

And (3) calculating the satisfaction degree of the charging cost of the user, wherein the formula (6) is as follows:

wherein e _i，j Representing the charge cost satisfaction of the jth user of the ith class, C _T Represents the charge cost generated by actual charging, C ₀ And the charging cost generated by selecting the charging pile which is most matched with the power of the vehicle to be charged is represented by the reference electric charge, and n is a multiple.

According to an embodiment of the present invention, the state parameter of the vehicle to be charged may include a kind of the vehicle to be charged and a state of charge of the vehicle to be charged.

According to an embodiment of the invention, the state parameter of the actual charging resource may characterize the charging load at a certain moment of each charging station.

According to the embodiment of the invention, the actual charging resources corresponding to the vehicle to be charged can represent the charging piles actually selected by the vehicle to be charged. For example, the actual charging resource corresponding to the vehicle to be charged is the overcharge pile.

According to an embodiment of the invention, the first target charging resource may characterize a charging peg that best matches the power of the vehicle to be charged. For example, if the type of the vehicle to be charged is a fast charging vehicle, the first target charging resource is a super charging pile. For example, if the type of the vehicle to be charged is a slow charging vehicle, the first target charging resource is a normal pile.

According to the embodiment of the invention, the actual charging resource corresponding to the vehicle to be charged and the first target charging resource of the vehicle to be charged may be the same, and the actual charging resource corresponding to the vehicle to be charged and the first target charging resource of the vehicle to be charged may be different.

According to the embodiment of the invention, the charging cost actually generated by the user can be obtained according to the state parameter of the actual charging resource and the charging service parameter corresponding to the actual charging resource.

According to an embodiment of the present invention, the state parameters of the first target charging resource may include a normal pile and a super-charging pile.

According to an embodiment of the present invention, the charging service parameters corresponding to the first target charging resource may include a charging service base parameter corresponding to the first target charging resource and a service weight parameter corresponding to the power of the charging pile.

According to the embodiment of the invention, according to the state parameter of the first target charging resource and the charging service parameter corresponding to the first target charging resource, the charging cost generated by using the charging pile which is most matched with the power of the vehicle to be charged can be obtained.

According to the embodiment of the invention, the user charging cost satisfaction function can be constructed according to the charging cost actually generated by the charging pile actually selected by the user and the charging cost generated by the charging pile which is most matched with the power of the vehicle to be charged.

According to the embodiment of the invention, the state parameters of the first target charging resource comprise the state of charge parameter of the first target charging resource and the capacity parameter of the first target charging resource; the charging service parameters comprise capacity service parameters and electric quantity service parameters;

constructing a user charging cost satisfaction function according to the state parameter of the actual charging resource, the charging service parameter corresponding to the actual charging resource, the state parameter of the first target charging resource and the charging service parameter corresponding to the first target charging resource, including: and generating an actual charging cost parameter of the user according to the charge state parameter of the actual charging resource, the capacity service parameter corresponding to the actual charging and the electric quantity service parameter. And generating a user target charging cost parameter according to the charge state parameter of the first target charging resource, the capacity service parameter corresponding to target charging and the electric quantity service parameter. And constructing a user charging cost satisfaction function according to the user charging actual cost parameter and the user target charging cost parameter.

According to an embodiment of the present invention, the capacity service parameters may include a super-fill pile capacity service parameter and a normal pile capacity service parameter. Calculation of capacity service parameters, formula (7) and formula (8) below:

wherein R is _CC Representing the capacity service parameter of the super-filling pile, R _pt Representing the capacity service parameters of the common pile, alpha ₁ And alpha ₂ Represents the weight, and alpha ₁ ∈[0，1]，α ₂ ∈[0，1]，P ₁ Representing the charging power of the common pile, P ₂ Representing the charging power of the super-charging pile, C _b，t Representing electrical service parameters, T _c Representing the time spent by the user completing the entire charging processAnd (3) the room(s).

According to the embodiment of the invention, the electric quantity service parameters can comprise an ultra-charging pile electric quantity service parameter and a common pile electric quantity service parameter. Calculation of the power service parameters, as follows equation (9) and equation (10):

wherein D is _CC Representing the service parameters of the electric quantity of the super-charging pile, D _pt And the electric quantity service parameter of the common pile is represented, and P is the charging power supported by the current charging pile by the user.

According to the embodiment of the invention, the state of charge parameter of the actual charging resource can represent the state of charge of the charging pile which is actually charged.

According to the embodiment of the invention, the capacity parameter of the actual charging resource can represent the electric quantity of the vehicle to be charged which is actually required to be charged.

According to an embodiment of the invention, the state of charge parameter of the first target charging resource may characterize the state of charge of the charging pile that best matches the vehicle power to be charged.

According to the embodiment of the invention, the actual charging cost parameter of the user can represent the charging cost generated by the charging pile actually used by the user.

According to embodiments of the present invention, the user-targeted charging cost parameter may characterize the charging cost generated using the charging peg charging that best matches the vehicle power to be charged.

According to the embodiment of the invention, by constructing the satisfaction degree function of the charging cost of the user, the user can determine whether to select the charging pile according to the charging cost of the user, so that the efficiency of selecting the charging pile according to the charging cost of the user is improved.

According to the embodiment of the invention, the user charging time satisfaction function can be constructed according to the state parameters of the vehicle to be charged and the state parameters of the charging resources.

FIG. 5 illustrates a flow chart of a method of constructing a user charge time satisfaction function, according to an embodiment of the invention.

As shown in FIG. 5, the method 500 of constructing a user charging time satisfaction function includes operations S510-S540.

In operation S510, a second target charging resource that matches the vehicle to be charged is determined according to the attribute parameters of the vehicle to be charged.

In operation S520, an actual charging duration parameter of the vehicle to be charged is generated according to the used state parameter of the second target charging resource and the required charge amount parameter of the vehicle to be charged.

In operation S530, a target charging duration parameter of the vehicle to be charged is generated according to the required charge capacity parameter of the vehicle to be charged and the power parameter of the second target charging resource.

In operation S540, a user charging time satisfaction function is constructed according to the target charging time length parameter of the vehicle to be charged, the actual charging time length parameter of the vehicle to be charged, and the predetermined maximum charging time length acceptable to the user.

Calculation of satisfaction of user charging time, formula (11) below:

wherein c _i，j Representing the degree of satisfaction of the charging time of the jth user of the ith class, T representing the sum of the queuing time of the user and the charging time, T _c，p Representing the shortest time taken, i.e. the time taken to use the charging pile that best matches the power of the vehicle to be charged, t _max Indicating the maximum additional time the user can accept in addition to the minimum time spent.

According to an embodiment of the present invention, the state parameter of the charging resource may include a used state parameter of the charging resource and a power parameter of the charging resource corresponding to the time of day parameter.

According to an embodiment of the present invention, the state parameters of the vehicle to be charged may include an attribute parameter of the vehicle to be charged and a required charge amount parameter of the vehicle to be charged.

According to an embodiment of the invention, the attribute parameter of the vehicle to be charged may characterize the type of the vehicle to be charged. Types of vehicles to be charged may include fast-charge vehicles and slow-charge vehicles.

According to an embodiment of the invention, the second target charging resource may characterize a charging peg that best matches the power of the vehicle to be charged.

According to an embodiment of the present invention, the used state parameter of the second target charging resource may characterize whether the second target charging resource is used at the current moment.

According to an embodiment of the present invention, the actual charge duration parameter of the vehicle to be charged may include a sum of the waiting time and the charging time.

According to the embodiment of the invention, the target charging duration parameter of the vehicle to be charged can represent the charging time required by the charging pile which is in the best match with the power of the vehicle to be charged and does not need waiting by a user.

According to embodiments of the present invention, the predetermined maximum user acceptable charge duration may characterize the maximum additional time the user can accept in addition to the charge time required to charge using the charging peg that best matches the vehicle power to be charged.

According to the embodiment of the invention, the user can determine the waiting time for charging according to the user charging time satisfaction function by constructing the user charging time satisfaction function, so that the efficiency of selecting the charging pile according to the waiting time and the charging time by the user is improved.

According to an embodiment of the present invention, the attribute parameters of the user decision intent include a cost satisfaction preference coefficient and a time satisfaction preference coefficient. Constructing a user satisfaction function and a benefit function of a charging station according to the state parameters of the charging resources, the moment parameters, the state parameters of the vehicle to be charged and the attribute parameters of the user decision intention, wherein the method comprises the following steps: and constructing a user charging cost satisfaction function according to the state parameters of the vehicle to be charged, the state parameters of the charging resources and the charging service parameters. And constructing a user charging time satisfaction function according to the state parameters of the vehicle to be charged and the state parameters of the charging resources. And generating a user satisfaction function according to the cost satisfaction preference coefficient, the time satisfaction preference coefficient, the user charging cost satisfaction function and the user charging time satisfaction function.

According to an embodiment of the present invention, the user satisfaction function is determined by a user charging time satisfaction function and a user charging cost satisfaction function. Calculation of the user satisfaction function, formula (12) below:

u _i，j ＝α _1，i e _i，j +α _2，i C _i，j

(12)

Wherein u is _i，j Indicating the satisfaction, alpha, of the jth user of the ith class _1，i Cost satisfaction preference coefficient, alpha, representing class i user _2，i Representing a time satisfaction preference coefficient, wherein alpha _1，i ∈[0，1]，α _2，i ∈[0，1]，α _1，i +α _2，i ＝1。

According to the embodiment of the invention, the service strategy of the more suitable charging station can be determined by constructing the objective optimization function.

User satisfaction objective optimization function maxf ₂ Is calculated as follows (equation (13):

wherein N is _i Indicating the number of types of users, N _j Indicating the number of i-th class of users, N _u Indicating the total number of users.

According to embodiments of the present invention, the boundary conditions may include a charging station user satisfaction boundary condition, a charging station utilization boundary condition, and a charging station benefit boundary condition.

According to the embodiment of the invention, the satisfaction boundary condition can be determined based on the association relationship between the user satisfaction target optimization function and the initial user satisfaction of the target charging station. That is, the average satisfaction of the optimized users should not be lower than the satisfaction of the initial users, and can be expressed by the following formula (14):

wherein u is ₀ Representing an initial user satisfaction, the initial user satisfaction representing a user satisfaction prior to optimization of the charging dock service parameters, in the embodiments of the present disclosure, the service parameters of the charging posts of different charging powers are the same prior to optimization of the charging dock service parameters.

According to the embodiment of the invention, the user satisfaction degree and the income function of the charging station are constructed, so that the income of the charging station can be improved while the user satisfaction degree is improved, and the utilization rate of the charging station is further improved.

According to an embodiment of the present invention, the state parameters of the charging resource include a usage state parameter of the charging resource and a power parameter of the charging resource;

constructing a utilization function of the charging station according to the state parameter of the charging resource and the preset full load parameter of the charging station, wherein the utilization function comprises the following steps:

determining the charging resources in use and the power parameters of the charging resources in use according to the using state parameters of the charging resources;

and constructing a utilization rate function of the charging station according to the power parameter of the charging resource in use and the full load parameter of the predetermined charging station.

Utilization target optimization function maxf of charging station ₃ Is calculated as follows, equation (15) and equation (16):

N _p ＝P ₁ ·Capacity_SP+P ₂ ·Capacity_FP (16)

wherein M is _t Indicating the load of the charging station at time t under optimized parameters，N _p The capacity_sp indicates the number of slow fill piles, and the capacity_fp indicates the number of super fill piles.

According to the embodiment of the invention, the association relation between the utilization function of the charging station and the initial utilization is used for determining the utilization boundary condition. That is, the charging station utilization after optimization should not be lower than the utilization before optimization, and the following formula (17) can be used:

Wherein M is _t，p The load of the charging station at time t before optimization is shown.

According to the embodiment of the invention, the use state parameter of the charging resource can represent whether the charging resource is used at the current moment.

According to an embodiment of the invention, the power parameter of the charging resource being used may characterize the kind of charging pile being used at the present moment. The types of the charging piles may include super-charging piles and general piles.

According to an embodiment of the invention, the utilization function of the charging station may characterize the ratio of the power parameter of the charging resource being used to the predetermined full load parameter of the charging station.

According to the embodiment of the invention, the proportion of vehicles generated in each time period can be estimated by utilizing the utilization rate function according to the load curve of the historical charging station and different traffic demands in one day, and the time for each vehicle to arrive at the charging station can be distributed.

According to the embodiment of the invention, the utilization condition of the charging station can be obtained by constructing the utilization function of the charging station, and the utilization rate of the charging station can be improved by optimizing the service parameters of the charging station.

Based on the service policy information generating method of the multi-power charging station, the invention further provides a service policy information generating device of the multi-power charging station. The device will be described in detail below in connection with fig. 6.

Fig. 6 is a block diagram showing a structure of a service policy information generating apparatus of a multi-power charging station according to an embodiment of the present invention.

As shown in fig. 6, the service policy information generating apparatus 600 of the multi-power charging station of this embodiment includes an acquisition module 610, a construction module 620, an acquisition module 630, and a generation module 640.

The obtaining module 610 is configured to obtain, in response to a received service policy information generation request for a target charging station, a charging resource status parameter, a charging demand parameter, and a charging service parameter of the target charging station, where the charging service parameter includes a charging service base parameter and a service weight parameter corresponding to power of a charging pile. In an embodiment, the obtaining module 610 may be configured to perform the operation S210 described above, which is not described herein.

The construction module 620 is configured to construct a target optimization function and boundary conditions according to the state of charge parameter, the charge demand parameter, the charging service base parameter, the service weight parameter corresponding to the power of the charging pile, and the full load parameter of the predetermined target charging station. In an embodiment, the construction module 620 may be configured to perform the operation S220 described above, which is not described herein.

The obtaining module 630 is configured to process the target optimization function based on the boundary condition, so as to obtain target charging service weight parameter information and charging service basic parameter information corresponding to the power parameter of the charging pile. In an embodiment, the obtaining module 630 may be configured to perform the operation S230 described above, which is not described herein.

The generating module 640 is configured to generate target service policy information according to the target charging service basic parameter information and the target charging service weight parameter corresponding to the power information of the charging pile. In an embodiment, the generating module 640 may be configured to perform the operation S240 described above, which is not described herein.

According to an embodiment of the present invention, a construction module 620 for constructing a target optimization function and boundary conditions according to a charging resource status parameter, a charging demand parameter, a charging service base parameter, a service weight parameter corresponding to a power of a charging pile, and a predetermined full load parameter of a target charging station, includes:

the first construction submodule is used for constructing a user satisfaction function and a benefit function of the charging station according to the state parameters of the charging resources, the moment parameters, the state parameters of the vehicle to be charged and the attribute parameters of the user decision intention.

And the second construction submodule is used for constructing a utilization rate function of the charging station according to the state parameter of the charging resource and the preset full load parameter of the charging station.

And a third construction sub-module for constructing a boundary condition based on an association relationship between the user satisfaction function and the initial user satisfaction of the target charging station, an association relationship between the benefit function of the charging station and the initial benefit of the target charging station, and an association relationship between the utilization rate function of the charging station and the initial utilization rate.

According to an embodiment of the present invention, a first construction sub-module for constructing a user satisfaction function and a benefit function of a charging station according to a state parameter of a charging resource, a time parameter, a state parameter of a vehicle to be charged, and an attribute parameter of a user decision intention, includes:

the first construction unit is used for constructing a user charging cost satisfaction function according to the state parameters of the vehicle to be charged, the state parameters of the charging resources and the charging service parameters;

and the second construction unit is used for constructing a user charging time satisfaction function according to the state parameters of the vehicle to be charged and the state parameters of the charging resources.

And the third construction unit is used for generating a user satisfaction function according to the cost satisfaction preference coefficient, the time satisfaction preference coefficient, the user charging cost satisfaction function and the user charging time satisfaction function.

And the fourth construction unit is used for generating a benefit function of the charging station according to the user charging time satisfaction function and the preset satisfaction threshold.

According to an embodiment of the present invention, a first construction unit for constructing a user charging cost satisfaction function according to a state parameter of a vehicle to be charged, a state parameter of a charging resource, and a charging service parameter, includes:

the first construction subunit is used for determining the actual charging resources corresponding to the vehicle to be charged according to the state parameters of the vehicle to be charged and the state parameters of the charging resources.

And the second construction subunit is used for determining a first target charging resource corresponding to the vehicle to be charged according to the state parameter of the vehicle to be charged.

And the third construction subunit is used for constructing a user charging cost satisfaction function according to the state parameter of the actual charging resource, the charging service parameter corresponding to the actual charging resource, the state parameter of the first target charging resource and the charging service parameter corresponding to the first target charging resource.

According to an embodiment of the invention, the third building subunit is further configured to:

and generating an actual charging cost parameter of the user according to the charge state parameter of the actual charging resource, the capacity service parameter corresponding to the actual charging and the electric quantity service parameter.

And generating a user target charging cost parameter according to the charge state parameter of the first target charging resource, the capacity service parameter corresponding to target charging and the electric quantity service parameter.

And constructing a user charging cost satisfaction function according to the user charging actual cost parameter and the user target charging cost parameter.

According to an embodiment of the present invention, a second construction unit for constructing a user charging time satisfaction function according to a state parameter of a vehicle to be charged and a state parameter of a charging resource, includes:

and the fourth construction subunit is used for determining a second target charging resource matched with the vehicle to be charged according to the attribute parameters of the vehicle to be charged.

And a fifth construction subunit, configured to generate an actual charging duration parameter of the vehicle to be charged according to the used state parameter of the second target charging resource and the required charging power parameter of the vehicle to be charged.

And the sixth construction subunit is used for generating a target charging duration parameter of the vehicle to be charged according to the required charging electric quantity parameter of the vehicle to be charged and the power parameter of the second target charging resource.

And the seventh construction subunit is used for constructing a user charging time satisfaction function according to the charging time length parameter of the vehicle to be charged, the actual charging time length parameter of the vehicle to be charged and the preset maximum charging time length which can be received by the user.

According to an embodiment of the present invention, a second construction sub-module for constructing a utilization function of a charging station according to a state parameter of a charging resource and a predetermined full load parameter of the charging station, includes:

and the fifth construction unit is used for determining the charging resource in use and the power parameter of the charging resource in use according to the use state parameter of the charging resource.

And a sixth construction unit for constructing a utilization rate function of the charging station according to the power parameter of the charging resource in use and the predetermined full load parameter of the charging station.

Any of the acquisition module 610, the construction module 620, the acquisition module 630, and the generation module 640 may be combined in one module to be implemented, or any of the modules may be split into a plurality of modules, according to an embodiment of the present invention. Alternatively, at least some of the functionality of one or more of the modules may be combined with at least some of the functionality of other modules and implemented in one module. At least one of the acquisition module 610, the construction module 620, the acquisition module 630, and the generation module 640 may be implemented at least in part as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware, such as any other reasonable way of integrating or packaging circuitry, or in any one of or a suitable combination of three of software, hardware, and firmware. Alternatively, at least one of the acquisition module 610, the construction module 620, the acquisition module 630, and the generation module 640 may be at least partially implemented as a computer program module, which when executed, may perform the corresponding functions.

As shown in fig. 7, an electronic device 700 according to an embodiment of the present invention includes a processor 701 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. The processor 701 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 701 may also include on-board memory for caching purposes. The processor 701 may comprise a single processing unit or a plurality of processing units for performing different actions of the method flow according to an embodiment of the invention.

In the RAM703, various programs and data necessary for the operation of the electronic apparatus 700 are stored. The processor 701, the ROM702, and the RAM703 are connected to each other through a bus 704. The processor 701 performs various operations of the method flow according to an embodiment of the present invention by executing programs in the ROM702 and/or the RAM 703. Note that the program may be stored in one or more memories other than the ROM702 and the RAM 703. The processor 701 may also perform various operations of the method flow according to embodiments of the present invention by executing programs stored in one or more memories.

According to an embodiment of the invention, the electronic device 700 may further comprise an input/output (I/O) interface 705, the input/output (I/O) interface 705 also being connected to the bus 704. The electronic device 700 may also include one or more of the following components connected to the I/O interface 705: an input section 706 including a keyboard, a mouse, and the like; an output portion 707 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.

The present invention also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present invention.

According to embodiments of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to an embodiment of the invention, the computer-readable storage medium may include ROM 702 and/or RAM 703 and/or one or more memories other than ROM 702 and RAM 703 described above.

Embodiments of the present invention also include a computer program product comprising a computer program containing program code for performing the method shown in the flowcharts. When the computer program product runs in a computer system, the program code is used for enabling the computer system to realize the service policy information generating method provided by the embodiment of the invention.

The above-described functions defined in the system/apparatus of the embodiment of the present invention are performed when the computer program is executed by the processor 701. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the invention.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed over a network medium in the form of signals, downloaded and installed via the communication section 709, and/or installed from the removable medium 711. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. The above-described functions defined in the system of the embodiment of the present invention are performed when the computer program is executed by the processor 701. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the invention.

According to embodiments of the present invention, program code for carrying out computer programs provided by embodiments of the present invention may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or in assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the invention and/or in the claims may be combined in various combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the invention. In particular, the features recited in the various embodiments of the invention and/or in the claims can be combined in various combinations and/or combinations without departing from the spirit and teachings of the invention. All such combinations and/or combinations fall within the scope of the invention.

The embodiments of the present invention are described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the invention is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the invention, and such alternatives and modifications are intended to fall within the scope of the invention.

Claims

1. A service policy information generation method for a multi-power charging station, comprising:

responding to a received service policy information generation request aiming at a target charging station, and acquiring a charging resource state parameter, a charging demand parameter and a charging service parameter of the target charging station, wherein the charging service parameter comprises a charging service basic parameter and a service weight parameter corresponding to the power of a charging pile;

2. The method of claim 1, wherein the charge demand parameter comprises: the method comprises the steps of enabling a user to arrive at a target charging station, enabling attribute parameters of decision intention of the user and state parameters of a vehicle to be charged;

the constructing a target optimization function and boundary conditions according to the state parameter of the charging resource, the charging demand parameter, the charging service basic parameter, the service weight parameter corresponding to the power of the charging pile and the predetermined full load parameter of the target charging station comprises the following steps:

Constructing a user satisfaction function and a benefit function of a charging station according to the state parameters of the charging resources, the time parameters, the state parameters of the vehicle to be charged and the attribute parameters of the user decision intention;

and constructing boundary conditions based on the association relationship between the user satisfaction function and the initial user satisfaction of the target charging station, the association relationship between the benefit function of the charging station and the initial benefit of the target charging station and the association relationship between the utilization rate function of the charging station and the initial utilization rate.

3. The method of claim 2, wherein the attribute parameters of the user decision intent include a cost satisfaction preference coefficient and a time satisfaction preference coefficient;

the step of constructing a user satisfaction function and a benefit function of a charging station according to the state parameters of the charging resources, the time parameters, the state parameters of the vehicle to be charged and the attribute parameters of the user decision intention, comprising:

4. The method of claim 3, wherein the constructing a user charging cost satisfaction function from the state parameter of the vehicle to be charged, the state parameter of the charging resource, and the charging service parameter comprises:

and constructing the user charging cost satisfaction function according to the state parameters of the actual charging resources, the charging service parameters corresponding to the actual charging resources, the state parameters of the first target charging resources and the charging service parameters corresponding to the first target charging resources.

5. The method of claim 4, wherein,

the state parameters of the first target charging resource comprise the state of charge parameter of the first target charging resource and the capacity parameter of the first target charging resource; the charging service parameters comprise capacity service parameters and electric quantity service parameters;

the constructing the user charging cost satisfaction function according to the state parameter of the actual charging resource, the charging service parameter corresponding to the actual charging resource, the state parameter of the first target charging resource and the charging service parameter corresponding to the first target charging resource includes:

6. The method of claim 4, wherein the state parameters of the charging resource comprise a used state parameter of the charging resource and a power parameter of the charging resource corresponding to the time of day parameter; the state parameters of the vehicle to be charged comprise attribute parameters of the vehicle to be charged and required charging electric quantity parameters of the vehicle to be charged;

7. The method of claim 2, wherein the state parameters of the charging resource include a state of use parameter of the charging resource and a power parameter of the charging resource;

the construction of the utilization rate function of the charging station according to the state parameter of the charging resource and the preset full load parameter of the charging station comprises the following steps:

8. A service policy information generating apparatus of a multi-power charging station, comprising:

the charging system comprises an acquisition module, a charging pile and a charging module, wherein the acquisition module is used for responding to a received service strategy information generation request aiming at a target charging station to acquire a charging resource state parameter, a charging demand parameter and a charging service parameter of the target charging station, wherein the charging service parameter comprises a charging service basic parameter and a service weight parameter corresponding to the power of the charging pile;

9. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-7.