CN111391692A - Electric automobile ordered charging and discharging system and method based on cabin temperature difference control - Google Patents

Electric automobile ordered charging and discharging system and method based on cabin temperature difference control Download PDF

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CN111391692A
CN111391692A CN201911249301.7A CN201911249301A CN111391692A CN 111391692 A CN111391692 A CN 111391692A CN 201911249301 A CN201911249301 A CN 201911249301A CN 111391692 A CN111391692 A CN 111391692A
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龙虹毓
刘芷倩
刘国平
邹伟
朴昌浩
刘明杰
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Chongqing University of Post and Telecommunications
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    • B—PERFORMING OPERATIONS; TRANSPORTING
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Abstract

The invention discloses an electric automobile ordered charging and discharging system and method based on cabin temperature difference control, wherein the electric automobile ordered charging and discharging system comprises: the system comprises a cloud monitoring and scheduling platform, a vehicle-mounted data acquisition control system, a charging station management system and a power distribution network data acquisition system. The method has the characteristics that the energy consumption of the air-conditioning battery participating in the whole scheduling process is controlled by detecting the temperature in the cabin and adjusting the set temperature of the vehicle-mounted air conditioner in a differentiation manner, so that the driving mileage of the electric vehicle is actively pre-adjusted, the ordered charge and discharge control variable of the electric vehicle is innovated, the ordered charge and discharge control boundary condition of the electric vehicle is expanded, the ordered charge and discharge scheduling of the electric vehicle cluster can be expected to be realized more finely and differentially, the load of the power grid is served to perform peak clipping and valley filling, and the load of the power grid is relieved.

Description

Electric automobile ordered charging and discharging system and method based on cabin temperature difference control
The technical field is as follows:
the invention belongs to the field of ordered charging and discharging of electric automobiles, and particularly relates to an ordered charging and discharging system and method of an electric automobile based on cabin temperature difference control.
Background art:
the use of the traditional internal combustion engine automobile aggravates the global energy crisis and the environmental problem, and the development of a new energy automobile which is energy-saving, clean and high in conversion efficiency is an effective way. The electric automobile is considered as the best substitute of the traditional automobile in the near term, not only has high energy conversion efficiency, but also can realize real zero emission due to the use of electric energy as power, and reduces the pollution of automobile exhaust to the environment. The electric automobile is one of important development directions of new energy automobiles, and relevant policies for promoting the development of the electric automobile are continuously issued in various countries around the world.
With the rapid development of electric vehicles, the related problems caused by the large-scale use of electric vehicles have come to the fore. On one hand, the mobility of the electric automobile brings randomness in distribution, and the large-scale uncertainty brings new challenges to power grid dispatching. If the electric automobile is charged disorderly, the peak-to-peak load of the power grid is caused, and the electric automobile is used as a large-scale distributed power supply, and can be reasonably dispatched and serve the power grid to perform the functions of peak clipping and valley filling; on the other hand, due to the limitation of energy storage technology, the specific energy and specific density of the battery are far lower than those of fossil energy, and further the endurance mileage concern has to be paid attention. Particularly, in summer and winter, due to the use of the vehicle-mounted air conditioner, the load of the power battery is increased, so that the endurance mileage of the electric vehicle is sharply reduced, and finally the load on the demand side of the power grid is increased. The method is an effective way for prolonging the endurance mileage by reducing the energy consumption of other loads except a power system. By expanding the charging range of the electric automobile in summer and winter and adopting reasonable path planning, the user satisfaction degree of the electric automobile can be increased, and the local overload of a power grid can be relieved.
The invention content is as follows:
the technical problem to be solved by the invention is as follows: the electric automobile ordered charging and discharging system and method based on cabin temperature difference control are provided, vehicle-mounted air conditioner consumption in the whole process of electric automobile driving path planning is controlled in a differentiated mode, so that the cruising mileage of an electric automobile is increased, the electric automobile flexibly participates in ordered charging and discharging scheduling of a power grid, the load of the power grid is subjected to peak clipping and valley filling, and the peak adding of the load of the power grid is relieved.
The technical scheme adopted by the invention for solving the technical problems is as follows:
electric automobile orderly charge-discharge system based on cabin temperature difference control, its characterized in that, this system contains a scheduling platform and three subsystems:
the cloud monitoring and scheduling platform: receiving and displaying the running data and states of the electric vehicle, the charging station and the power distribution network in real time, obtaining the temperature differential regulation and control and ordered charging and discharging strategies of the electric vehicle through data processing, and issuing the strategies to corresponding subsystems; monitoring the condition that the electric automobile participates in power grid dispatching, monitoring the distribution thermodynamic diagram of the electric automobile, and monitoring abnormity and alarm in electric automobile dispatching;
vehicle-mounted data acquisition control system: acquiring and processing data of temperature change and mileage change in the cabin in the whole process of the participation and scheduling of the electric automobile, and uploading the processed driving data to a cloud monitoring and scheduling platform;
charging station management system: acquiring and processing the use condition of a charging pile of the charging station, the charging and discharging state of an electric automobile of the charging pile, the time of the electric automobile connected into the charging pile, the time of the electric automobile expected to leave the charging pile and the expected electric quantity of the battery of the electric automobile, uploading the processed data to a cloud monitoring and scheduling platform, and receiving an ordered charging and discharging instruction issued by the cloud monitoring and scheduling platform;
distribution network data acquisition system: the method comprises the steps of collecting real-time load of a power grid, predicting a power grid load curve by combining historical load data of the power grid, and uploading the processed power grid load data to a cloud monitoring and scheduling platform.
Further, the cloud monitoring and scheduling platform comprises an electric automobile ordered charging and discharging scheduling module, a communication module, a database and an interface display module;
the electric automobile orderly charging and discharging scheduling module: according to the collected data of the electric automobile, the charging pile and the power distribution network, orderly charging and discharging of the electric automobile are planned to deal with load change of the power distribution network; the planning of the ordered charging and discharging of the electric automobile comprises the following steps: the method comprises the steps that a vehicle-mounted air conditioner set temperature adjusting scheme is generated in a differentiation mode by combining a power grid real-time load, a power grid predicted load curve, a charging pile using state and an electric automobile running state, considering the remaining endurance mileage and the running destination of the electric automobile, so that the energy consumption of the whole automobile is reduced, the ordered charging and discharging planning range of the electric automobile is expanded, the running path from the electric automobile to a target charging pile is optimized, and the purpose of staggering peak charging places and charging time is achieved;
the communication module adopts power line carrier communication and a 4G/5G network to issue the temperature differential regulation and control and the ordered charging and discharging strategy of the electric automobile to the charging pile management system, so that the data communication between the cloud monitoring and scheduling platform and each subsystem is realized;
the database stores data uploaded by each subsystem and strategy data generated by the platform;
the interface display module realizes the visualization of the electric automobile participating in the power grid dispatching condition, the electric automobile distribution thermodynamic diagram, the monitoring of the abnormity in the electric automobile dispatching and the warning.
Furthermore, the vehicle-mounted data acquisition control system comprises a vehicle cabin internal and external temperature detection module, an infrared detection module, a driving data acquisition module, a data processing and control module and a communication module;
the vehicle cabin internal and external temperature detection module is used for detecting the current internal and external temperatures of the vehicle cabin of the electric vehicle for a period, and provides a reference basis for the subsequent differential regulation and control of the vehicle-mounted air conditioner temperature by combining the comfort temperature of a human body;
the infrared detection module detects the number of people in the current electric automobile and provides reference basis for subsequent calculation of the heat dissipation capacity of the human body;
the driving data acquisition module acquires the driving destination of the electric automobile, the residual electric quantity of the power battery, the running state of an air conditioner in the automobile, the position of the automobile and the speed of the automobile and provides data for the subsequent calculation of the ordered charging and discharging planning of the electric automobile;
the data processing and control module is used for calculating the remaining endurance mileage of the electric automobile by considering the current average power consumption of the whole automobile and providing data for the subsequent calculation of the ordered charging and discharging planning of the electric automobile; receiving an upper layer control instruction, executing differential adjustment of set temperature of the vehicle-mounted air conditioner, and providing planning information of an ordered charging and discharging path of the electric vehicle;
the communication module uploads the electric vehicle driving data to the cloud monitoring and scheduling platform by adopting a 4G/5G network, and receives the ordered charging and discharging temperature regulation and control and path planning instructions issued by the cloud monitoring and scheduling platform.
The electric automobile ordered charging and discharging method based on the cabin temperature difference control is characterized in that: the cloud monitoring and dispatching platform equivalently uses an electric automobile group as a mobile load and a distributed power supply, realizes control of whole automobile energy consumption and electric automobile endurance of the electric automobiles through differential regulation of the whole cabin temperature process, enlarges a control boundary and a power grid load bearing boundary of ordered charging and discharging path planning of an electric automobile cluster, enables the electric automobiles to flexibly participate in peak clipping and valley filling of power grid load, and relieves peak-to-peak load adding of the power grid load;
according to the obtained data of the electric automobile, the charging station and the power distribution network, constructing an electric automobile cluster ordered charging and discharging scheduling model by taking minimum power grid daily load variance fluctuation as a scheduling target; the electric vehicle cluster ordered charging and discharging scheduling comprises planning of a driving path from an electric vehicle to a target charging station and differential control of the whole process of the vehicle cabin temperature considering the whole vehicle energy consumption of the electric vehicle;
forming a constraint condition of the electric automobile ordered charging and discharging scheduling model according to a preset electric automobile temperature controllable range, an electric automobile endurance mileage range and an electric automobile electric quantity state; according to the real-time load of the power grid and the predicted load curve of the power grid, the temperature in the regulation cabin is differentiated within the temperature controllable range by combining the use state of the charging pile and the running state of the electric automobile so as to reduce the energy consumption of the whole automobile, and the running path from the electric automobile to a target charging station is optimized within the predicted range of the endurance mileage;
solving an optimal solution of the ordered charging and discharging scheduling model of the electric automobile according to the constraint conditions of the ordered charging and discharging scheduling model of the electric automobile; and planning a running path of the electric automobile and differentially controlling the temperature in the electric automobile cabin according to the optimal solution under the constraint condition.
The electric automobile ordered charging and discharging system and method based on cabin temperature difference control comprises the following modeling steps:
step S101, the whole process refers to the process that electric vehicle users participate in differentiated temperature control and path planning of ordered charging and discharging scheduling of a power grid, and the differentiation is actually the temperature control difference of each electric vehicle caused by the difference of the users in cold and heat requirements, the difference of temperature change in an cabin and the difference of driving speed of the electric vehicle; temperature T set by adjusting air conditioner of electric automobile through differentiationi S(T), maintaining the temperature T of the electric automobile cabini V(t) in a certain temperature range, controlling the power consumption of the air conditioner to reduce the average energy consumption of the electric automobile and increasing and changing the endurance mileage M of the electric automobilei(t) of (d). Constructing a temperature change model of the single electric automobile cabin body:
Figure BDA0002308572390000041
Figure BDA0002308572390000042
wherein, Ti V(t) represents the ith electric vehicle cabin temperature; t isam(t) represents the ambient temperature and,
Figure BDA0002308572390000043
the air conditioning refrigeration capacity of the ith electric automobile is represented;
Figure BDA0002308572390000044
representing the human body heat dissipation of q individuals in the ith electric automobile;
Figure BDA0002308572390000045
representing the heat dissipation capacity of other equipment in the ith electric automobile cabin; pi ac(t) represents the air-conditioning refrigeration power in the ith electric vehicle, COP represents the air-conditioning refrigeration energy efficiency ratio, C represents the equivalent heat capacity which is the product of the cabin volume and the air specific heat capacity, and R represents the equivalent resistance which is related to the cabin heat conductivity coefficient;
step S102, according to the cabin temperature change model constructed in the step S101, the electric vehicle endurance mileage evaluation model considering the use of the electric vehicle air conditioner is as follows:
Figure BDA0002308572390000046
Figure BDA0002308572390000047
wherein, Pi MTRepresents the motor output power of the ith electric automobile, m represents the servicing mass, g represents the gravity acceleration, CDRepresenting the coefficient of air resistance, A representing the frontal area, viIndicates the speed of the i-th electric vehicle, ηTRepresenting driveline efficiency, f representing the rolling resistance coefficient, Mi(t) represents the range of the ith electric vehicle,batrepresents the battery loss coefficient of the electric vehicle, BiThe battery capacity of the ith electric vehicle,
Figure BDA0002308572390000048
indicating the present state of charge of the ith electric vehicle battery, ηdisIndicating the discharge efficiency of the cell, ηMIndicating motor efficiency, Pi asIndicating the auxiliary service power of the ith electric vehicle, ηasRepresenting the auxiliary service efficiency of the ith electric automobile;
step S103, according to the model constructed in the steps S101 and S102, the constraint conditions of the charging and discharging of the electric automobile are as follows:
step S1031, the battery of the electric automobile cannot be overcharged and overdischarged, and the constraint is as follows:
Figure BDA0002308572390000049
wherein the content of the first and second substances,
Figure BDA00023085723900000410
the lowest electric quantity of the early warning of the discharge of the battery of the electric automobile is represented,
Figure BDA00023085723900000411
representing the highest charge for charging the battery of the electric automobile;
step S1032, the electric quantity of the electric vehicle which is out of the network after charging and discharging needs to meet the customer demand, and the constraint is as follows:
Figure BDA0002308572390000051
wherein the content of the first and second substances,
Figure BDA0002308572390000052
represents the charging electric quantity during the period that the electric automobile is connected into the charging pile,
Figure BDA0002308572390000053
represents the discharge electric quantity during the period that the electric automobile is connected into the charging pile,
Figure BDA0002308572390000054
indicating the expected amount of charge for the user of the electric vehicle,
Figure BDA0002308572390000055
indicating the initial amount of electricity when the electric vehicle is connected to the charging pile, ηchaRepresenting the charging efficiency of the electric automobile;
step S1033, the mileage of the path planning cannot exceed the endurance mileage, and the constraint is:
0≤xtotal(t)≤Mi(t) (7)
wherein x istotal(t) represents a total driving distance of the electric vehicle path plan;
step S104, the minimum power grid daily load fluctuation variance model is as follows:
Figure BDA0002308572390000056
Figure BDA0002308572390000057
wherein, Pbase(t) represents the base load in the grid,
Figure BDA0002308572390000058
indicating the electric vehicle load already in the grid before the new electric vehicle is incorporated into the grid,
Figure BDA0002308572390000059
representing the charging load of the electric automobile newly added into the power grid at the time t through temperature control and path planning and scheduling,
Figure BDA00023085723900000510
representing the discharging load of the newly-accessed electric automobile scheduled by temperature control and path planning,
Figure BDA00023085723900000511
representing the average load of the grid.
Description of the drawings:
FIG. 1 is a schematic diagram of an electric vehicle orderly charging and discharging dispatching system according to the present invention
FIG. 2 is a flow chart of the sequential charging and discharging of the electric vehicle based on the cabin temperature difference control according to the present invention
FIG. 3 is an equivalent circuit diagram of the electric vehicle cabin temperature variation according to the present invention
The specific implementation mode is as follows:
the invention is described in further detail below with reference to the accompanying drawings:
as shown in fig. 1, the electric vehicle ordered charging and discharging system based on cabin temperature difference control comprises a scheduling platform and three subsystems:
the cloud monitoring and scheduling platform: receiving and displaying the running data and states of the electric vehicle, the charging station and the power distribution network in real time, obtaining the temperature differential regulation and control and ordered charging and discharging strategies of the electric vehicle through data processing, and issuing the strategies to corresponding subsystems; monitoring the condition that the electric automobile participates in power grid dispatching, monitoring the distribution thermodynamic diagram of the electric automobile, and monitoring abnormity and alarm in electric automobile dispatching;
vehicle-mounted data acquisition control system: acquiring and processing data of temperature change and mileage change in the cabin in the whole process of the participation and scheduling of the electric automobile, and uploading the processed driving data to a cloud monitoring and scheduling platform;
charging station management system: acquiring and processing the use condition of a charging pile of the charging station, the charging and discharging state of an electric automobile of the charging pile, the time of the electric automobile connected into the charging pile, the time of the electric automobile expected to leave the charging pile and the expected electric quantity of the battery of the electric automobile, uploading the processed data to a cloud monitoring and scheduling platform, and receiving an ordered charging and discharging instruction issued by the cloud monitoring and scheduling platform;
distribution network data acquisition system: the method comprises the steps of collecting real-time load of a power grid, predicting a power grid load curve by combining historical load data of the power grid, and uploading the processed power grid load data to a cloud monitoring and scheduling platform.
Furthermore, the vehicle-mounted data acquisition control system comprises a vehicle cabin internal and external temperature detection module, an infrared detection module, a driving data acquisition module, a data processing and control module and a communication module;
the vehicle cabin internal and external temperature detection module is used for detecting the current internal and external temperatures of the vehicle cabin of the electric vehicle for a period, and provides a reference basis for the subsequent differential regulation and control of the vehicle-mounted air conditioner temperature by combining the comfort temperature of a human body;
the infrared detection module detects the number of people in the current electric automobile and provides reference basis for subsequent calculation of the heat dissipation capacity of the human body;
the driving data acquisition module acquires the driving destination of the electric automobile, the residual electric quantity of the power battery, the running state of an air conditioner in the automobile, the position of the automobile and the speed of the automobile and provides data for the subsequent calculation of the ordered charging and discharging planning of the electric automobile;
the data processing and control module is used for calculating the remaining endurance mileage of the electric automobile by considering the current average power consumption of the whole automobile and providing data for the subsequent calculation of the ordered charging and discharging planning of the electric automobile; receiving an upper layer control instruction, executing differential adjustment of set temperature of the vehicle-mounted air conditioner, and providing planning information of an ordered charging and discharging path of the electric vehicle;
the communication module uploads the electric vehicle driving data to the cloud monitoring and scheduling platform by adopting a 4G/5G network, and receives the ordered charging and discharging temperature regulation and control and path planning instructions issued by the cloud monitoring and scheduling platform.
With reference to fig. 3, the method for orderly charging and discharging the electric vehicle based on the cabin temperature difference control of the invention comprises the following steps:
step S101, distributing a unique identification code for each electric vehicle participating in dispatching, so that the acquired electric vehicle related data can be issued to each vehicle accurately in an active traceable and ordered charging and discharging dispatching instruction;
step S102, the electric automobile data acquisition system detects whether the electric automobile is connected with the charging pile, if so, the electric automobile meeting the time constraint formula (18) goes to step S107; if not, go to step S103;
step S103, in order to realize the whole process differentiated control of the temperature of the electric automobile, wherein the whole process refers to the process that electric automobile users participate in differentiated temperature control and path planning of ordered charging and discharging scheduling of a power grid, the differentiation is actually the temperature control difference of each electric automobile caused by the difference of the users in cold and heat requirements, the difference of temperature changes in an cabin and the difference of driving speed of the electric automobile, a vehicle-mounted electric automobile data acquisition system acquires the driving destination, the residual electric quantity of a power battery, the health state of the power battery, the running state and running parameters of an air conditioner, the temperature inside and outside the automobile cabin, the position of the automobile, the number of people inside the automobile and the speed of the automobile, and transmits the data to a cloud monitoring and scheduling;
step S104, the cloud monitoring and scheduling platform receives relevant data from the electric automobile and informs an electric automobile user of a preferential policy, wherein the preferential policy specifies that the electric automobile participates in ordered charging and discharging: the discount rate of the charging electricity price is increased along with the increase of the driving distance, the destination deviation mileage and the total driving time after the user participates in temperature control, namely the electricity price after participating in differential temperature control scheduling and participating in path planning scheduling of driving to the target charging pile enjoys a discount preferential policy on the basis of the original power grid electricity price, and the discount rate of the electricity price is as follows:
Figure BDA0002308572390000071
wherein x isoffsetAn offset of a target charging station representing a user path plan relative to an initial destination;
step S1041, with reference to fig. 2, the data processing and controlling module of the vehicle-mounted data acquisition controlling system establishes a temperature variation model of the electric vehicle, which is:
Figure BDA0002308572390000072
Figure BDA0002308572390000073
wherein, Ti V(t) represents the ith electric vehicle cabin temperature; t isam(t) represents the ambient temperature and,
Figure BDA0002308572390000074
the air conditioning refrigeration capacity of the ith electric automobile is represented;
Figure BDA0002308572390000075
representing the human body heat dissipation of q individuals in the ith electric automobile;
Figure BDA0002308572390000076
representing the heat dissipation capacity of other equipment in the ith electric automobile cabin; pi ac(t) represents the air-conditioning refrigeration power in the ith electric vehicle, COP represents the air-conditioning refrigeration energy efficiency ratio, C represents the equivalent heat capacity which is the product of the cabin volume and the air specific heat capacity, and R represents the equivalent resistance which is related to the cabin heat conductivity coefficient;
the difference of user on cold and hot demand leads to the difference of electric automobile cabin initial temperature, and the difference of the current number of people in electric automobile cabin leads to the difference in the cabin temperature variation process, and the electric automobile speed of travel difference can influence power battery's consumption difference, makes there is the difference in the control of cloud control dispatch center to the cabin temperature. Therefore, the three influencing factors can cause the difference of the cloud monitoring and dispatching platform on the temperature control of the electric automobile cabin.
Step S1042, in order to predict the change of the driving range of the electric vehicle caused by the differential temperature control and predict the charging requirement of the electric vehicle, the data processing and control module of the vehicle-mounted data acquisition control system establishes a driving range change model caused by the temperature change of the electric vehicle as follows:
Figure BDA0002308572390000077
Figure BDA0002308572390000078
wherein, Pi MTRepresents the motor output power of the ith electric automobile, m represents the servicing mass, g represents the gravity acceleration, CDRepresenting the coefficient of air resistance, A representing the frontal area, viIndicates the speed of the i-th electric vehicle, ηTRepresenting driveline efficiency, f representing the rolling resistance coefficient, Mi(t) represents the range of the ith electric vehicle,batrepresents the battery loss coefficient of the electric vehicle, BiThe battery capacity of the ith electric vehicle,
Figure BDA0002308572390000081
indicating the present state of charge of the ith electric vehicle battery, ηdisIndicating the discharge efficiency of the cell, ηMIndicating motor efficiency, Pi asIndicating the auxiliary service power of the ith electric vehicle, ηasRepresenting the auxiliary service efficiency of the ith electric automobile;
step S1043, the constraint conditions of the electric vehicle charging and discharging are:
in step S10431, the battery of the electric vehicle cannot be overcharged or overdischarged, and the constraint is:
Figure BDA0002308572390000082
wherein the content of the first and second substances,
Figure BDA0002308572390000083
the lowest electric quantity of the early warning of the discharge of the battery of the electric automobile is represented,
Figure BDA0002308572390000084
representing the highest charge for charging the battery of the electric automobile;
step S10432, the electric quantity of the electric vehicle which is out of the network after charging and discharging needs to meet the customer demand, and the constraint is as follows:
Figure BDA0002308572390000085
wherein, Wi cha(t) represents the amount of charge during the period when the electric vehicle is connected to the charging pile, Wi dis(t) represents the discharge capacity of the electric vehicle during the connection to the charging post,
Figure BDA0002308572390000086
indicating the expected amount of charge for the user of the electric vehicle,
Figure BDA0002308572390000087
indicating the initial charge when the electric vehicle is connected to the charging post, ηchaRepresenting the charging efficiency of the electric automobile;
step S10433, the mileage of the path planning cannot exceed the endurance mileage, and the constraint is:
Figure BDA0002308572390000088
wherein x istotalAnd (t) represents the total driving distance of the electric vehicle path planning.
Step S105, detecting whether the electric vehicle user is willing to participate in temperature regulation and control according to a preferential policy, if so, calculating a related result according to a model established by the data processing module of the vehicle-mounted electric vehicle data acquisition system in the step S104, and assuming that the user is willing to participate in temperature control and then participates in path planning and scheduling of ordered charging and discharging; if the user does not want to do so, the continuation of the journey mileage predicted by the vehicle-mounted system is directly adopted for subsequent calculation;
step S106, detecting whether the electric automobile user is willing to participate in ordered charging and discharging scheduling, if so, planning the running track of the electric automobile, and going to step S108; if the user does not want to charge the electric automobile, the electric automobile is charged disorderly;
step S107, detecting whether the electric automobile connected with the charging pile meets the time constraint formula (17)
Figure BDA0002308572390000089
Wherein, toffTime, t, when the electric vehicle is connected to the charging pileonIndicating the expected time to leave the charging post set by the user of the electric vehicle,
Figure BDA0002308572390000091
represents the maximum charging power;
if so, go to 108; if not, the electric automobile is charged disorderly;
step S108, the cloud monitoring and scheduling platform receives and processes relevant data of the electric automobile, the charging pile and the power distribution network, combines a daily load prediction curve, takes the minimum daily load fluctuation variance of the power grid as a target function, and performs ordered charging and discharging scheduling planning on the electric automobile, wherein the model is as follows:
Figure BDA0002308572390000092
Figure BDA0002308572390000093
wherein, Pbase(t) represents the base load in the grid,
Figure BDA0002308572390000094
indicating the electric vehicle load already in the grid before the new electric vehicle is incorporated into the grid,
Figure BDA0002308572390000095
indicates the temperature control at the time tThe electric automobile charging load newly added into the power grid is planned and scheduled,
Figure BDA0002308572390000096
representing the discharging load of the newly-accessed electric automobile scheduled by temperature control and path planning,
Figure BDA0002308572390000097
represents the average load of the grid;
and step S109, the cloud monitoring and dispatching platform respectively issues the obtained ordered charging and discharging decisions and instructions to the electric automobile and the charging station, so that the electric automobile participating in dispatching is subjected to temperature control and driving according to a plan, and the charging station performs ordered charging and discharging operations on the on-grid electric automobile and the electric automobile to be networked according to the plan.
While the invention has been described in further detail with reference to specific preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1. Electric automobile ordered charge-discharge system based on cabin temperature difference control, its characterized in that, this system contains a dispatch platform and three subsystems:
the cloud monitoring and scheduling platform: receiving and displaying the running data and states of the electric automobile, the charging station and the power distribution network in real time, obtaining an electric automobile temperature differential regulation and control and ordered charging and discharging strategy through data processing and analysis, and issuing the electric automobile temperature differential regulation and control and ordered charging and discharging strategy to corresponding subsystems; monitoring the condition that the electric automobile participates in power grid dispatching, monitoring the distribution thermodynamic diagram of the electric automobile, and monitoring abnormity and warning in electric automobile dispatching;
vehicle-mounted data acquisition control system: acquiring and processing data of temperature change and mileage change in the cabin in the whole process of the participation and scheduling of the electric automobile, and uploading the processed driving data to a cloud monitoring and scheduling platform;
charging station management system: acquiring and processing the use condition of a charging pile of the charging station, the charging and discharging state of an electric automobile of the charging pile, the time of the electric automobile to be connected into the charging pile, the time of the electric automobile to leave the charging pile in anticipation and the expected electric quantity of the battery of the electric automobile, uploading the processed data to a cloud monitoring and scheduling platform, and receiving an ordered charging and discharging instruction issued by the cloud monitoring and scheduling platform;
distribution network data acquisition system: the method comprises the steps of collecting real-time load of a power grid, predicting a power grid load curve by combining historical load data of the power grid, and uploading the processed power grid load data to a cloud monitoring and dispatching platform.
2. The electric vehicle ordered charging and discharging system based on cabin temperature difference control according to claim 1, wherein the cloud monitoring and scheduling platform comprises an electric vehicle ordered charging and discharging scheduling module, a communication module, a database and an interface display module;
the electric automobile orderly charging and discharging scheduling module: planning orderly charging and discharging of the electric automobile according to the collected data of the electric automobile, the charging pile and the power distribution network so as to deal with load change of the power distribution network; the planning of the ordered charging and discharging of the electric automobile comprises the following steps: the method is characterized in that a vehicle-mounted air conditioner set temperature adjusting scheme is generated in a differentiated mode by combining the real-time load of the power grid, a power grid predicted load curve, the using state of the charging pile and the running state of the electric automobile and considering the remaining endurance mileage and the running destination of the electric automobile, so that the energy consumption of the whole automobile is reduced, the ordered charging and discharging planning range of the electric automobile is expanded, the running path from the electric automobile to the target charging pile is optimized, and the purpose of staggering the peak charging place and the charging time is.
3. The electric vehicle ordered charging and discharging system based on cabin temperature difference control of claim 1, wherein the vehicle-mounted data acquisition control system comprises a cabin internal and external temperature detection module, an infrared detection module, a driving data acquisition module, a data processing and control module and a communication module;
the temperature detection module inside and outside the vehicle cabin detects the temperature inside and outside the vehicle cabin of the electric vehicle by taking delta t as a period;
the infrared detection module is used for detecting the number of people in the electric automobile at present;
the driving data acquisition module is used for acquiring the driving destination of the electric automobile, the residual electric quantity of the power battery, the running state of an air conditioner in the automobile, the position of the automobile and the speed of the automobile;
the data processing and control module is used for calculating the remaining endurance mileage of the electric automobile by considering the current average power consumption of the whole automobile; receiving an upper layer control instruction, executing differential adjustment of set temperature of the vehicle-mounted air conditioner, and providing planning information of an ordered charging and discharging path of the electric vehicle;
the communication module uploads the electric vehicle driving data to the cloud monitoring and scheduling platform by adopting a 4G/5G network, and receives the ordered charging and discharging temperature regulation and control and path planning instructions issued by the cloud monitoring and scheduling platform.
4. An electric vehicle ordered charging and discharging method based on cabin temperature difference control by using the system of claims 1-3, characterized in that: the cloud monitoring and dispatching platform equivalently uses an electric automobile group as a mobile load and a distributed power supply, realizes control of whole automobile energy consumption and electric automobile endurance of the electric automobiles through differential regulation of the whole cabin temperature process, enlarges a control boundary and a power grid load bearing boundary of the electric automobile cluster ordered charging and discharging path planning, enables the electric automobiles to flexibly participate in peak clipping and valley filling of power grid load, and relieves peak-to-peak load adding of the power grid load;
according to the obtained data of the electric automobile, the charging station and the power distribution network, constructing an electric automobile cluster ordered charging and discharging scheduling model by taking minimum power grid daily load variance fluctuation as a scheduling target; the electric vehicle cluster ordered charging and discharging scheduling comprises planning of a driving path from an electric vehicle to a target charging station and differential control of the whole process of the vehicle cabin temperature considering the whole vehicle energy consumption of the electric vehicle;
forming a constraint condition of the electric automobile ordered charging and discharging scheduling model according to a preset electric automobile temperature controllable range, an electric automobile endurance mileage range and an electric automobile electric quantity state; according to the real-time load of the power grid and the predicted load curve of the power grid, in combination with the use state of the charging pile and the running state of the electric vehicle, the temperature in the cabin is differentially regulated within the temperature controllable range to reduce the energy consumption of the whole vehicle, and the running path from the electric vehicle to a target charging station is optimized within the predicted range of the endurance mileage;
solving an optimal solution of the ordered charging and discharging scheduling model of the electric automobile according to the constraint conditions of the ordered charging and discharging scheduling model of the electric automobile; planning a running path of the electric automobile and differentially controlling the temperature in the cabin of the electric automobile according to the optimal solution under the constraint condition.
5. The electric vehicle ordered charging and discharging method based on cabin temperature difference control according to claim 4, wherein the monomer electric vehicle cabin temperature control modeling step is as follows:
step S101, adjusting the temperature T set by the air conditioner of the ith electric automobile in a differentiation manneri S(T), maintaining the temperature T of the cabin of the electric vehiclei V(t) in a certain temperature range, controlling the power consumption of the air conditioner to reduce the average energy consumption of the electric automobile and increase the endurance mileage M of the electric automobilei(t) of (d). Constructing a temperature change model of the single electric automobile cabin body:
Figure FDA0002308572380000021
Figure FDA0002308572380000022
wherein, Ti V(t) represents the ith electric vehicle cabin temperature; t isam(t) represents the ambient temperature and,
Figure FDA0002308572380000023
the air conditioning refrigeration capacity of the ith electric automobile is represented;
Figure FDA0002308572380000024
representing the human body heat dissipation of q individuals in the ith electric automobile;
Figure FDA0002308572380000025
representing the heat dissipation capacity of other equipment in the ith electric automobile cabin; pi ac(t) represents the air-conditioning refrigeration power in the ith electric vehicle, COP represents the air-conditioning refrigeration energy efficiency ratio, C represents the equivalent heat capacity which is the product of the cabin volume and the air specific heat capacity, and R represents the equivalent resistance which is related to the cabin heat conductivity coefficient;
step S102, according to the cabin temperature change model constructed in the step S101, the electric vehicle endurance mileage evaluation model considering the use of the electric vehicle air conditioner is as follows:
Figure FDA0002308572380000031
wherein, Pi MTIndicating the i-th electric vehicle motor output power, Mi(t) represents the range of the ith electric vehicle,batrepresents the battery loss coefficient of the electric vehicle, BiThe battery capacity of the ith electric vehicle,
Figure FDA0002308572380000032
indicating the present state of charge of the ith electric vehicle battery, ηdisIndicating the discharge efficiency of the cell, ηMIndicating motor efficiency, Pi asIndicating the auxiliary service power of the ith electric vehicle, ηasRepresenting the auxiliary service efficiency of the ith electric automobile;
step S103, according to the models constructed in the steps S101 and S102, the constraint conditions of the charging and discharging of the electric automobile are as follows:
step S1031, the battery of the electric automobile cannot be overcharged and overdischarged, and the constraint is as follows:
Figure FDA0002308572380000033
wherein the content of the first and second substances,
Figure FDA0002308572380000034
the lowest electric quantity of the early warning of the discharge of the battery of the electric automobile is represented,
Figure FDA0002308572380000035
representing the highest charge of the battery of the electric automobile;
step S1032, the electric quantity of the electric vehicle which is out of the network after charging and discharging needs to meet the user requirement, and the constraint is as follows:
Figure FDA0002308572380000036
wherein the content of the first and second substances,
Figure FDA0002308572380000037
represents the charging electric quantity during the period that the electric automobile is connected into the charging pile,
Figure FDA0002308572380000038
represents the discharge electric quantity during the period of the electric automobile accessing the charging pile,
Figure FDA0002308572380000039
indicating the expected amount of charge for the user of the electric vehicle,
Figure FDA00023085723800000310
indicating the initial amount of electricity when the electric vehicle is connected to the charging pile, ηchaRepresenting the charging efficiency of the electric automobile;
step S1033, the route planned by the route cannot exceed the cruising range, and the constraint is:
0≤xtotal(t)≤Mi(t) (6)
wherein x istotalAnd (t) represents the total driving distance of the electric vehicle path planning.
6. The electric vehicle ordered charging and discharging method based on cabin temperature difference control according to claim 4, wherein the minimum grid daily load fluctuation variance model is as follows:
Figure FDA00023085723800000311
Figure FDA0002308572380000041
wherein, Pbase(t) represents the base load in the grid,
Figure FDA0002308572380000042
indicating the electric vehicle load already in the grid before the new electric vehicle is incorporated into the grid,
Figure FDA0002308572380000043
representing the charging load of the electric automobile newly added into the power grid at the time t through temperature control and path planning and scheduling,
Figure FDA0002308572380000044
representing the discharging load of the newly-accessed electric automobile scheduled by temperature control and path planning,
Figure FDA0002308572380000045
representing the average load of the grid.
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