CN112339601A - Intelligent charging method and system for electric automobile - Google Patents
Intelligent charging method and system for electric automobile Download PDFInfo
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- CN112339601A CN112339601A CN202011250784.5A CN202011250784A CN112339601A CN 112339601 A CN112339601 A CN 112339601A CN 202011250784 A CN202011250784 A CN 202011250784A CN 112339601 A CN112339601 A CN 112339601A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/30—Constructional details of charging stations
- B60L53/31—Charging columns specially adapted for electric vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/64—Optimising energy costs, e.g. responding to electricity rates
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to an intelligent charging method and system for an electric automobile. The intelligent charging method of the electric automobile comprises the following steps: configuring an intelligent charging mode for the charging process of the electric automobile, and setting a minimum SOC value required by charging, vehicle using time and a target SOC value when the vehicle using time arrives; when the electric automobile is connected with the charging pile, detecting the current SOC value of the electric automobile, if the current SOC value is smaller than the minimum SOC value, immediately starting to execute the charging process, otherwise, calculating the charging time according to the current SOC value and the target SOC value, and determining the charging start time and the charging end time according to the charging time, the electricity price state and the vehicle using time, so that a charging scheme which meets the vehicle using time and the target SOC value and is optimal in price is generated, and then the charging process is executed according to the charging scheme. The intelligent charging system of the electric automobile comprises an intelligent user side, a charging execution mechanism, an automobile end and a cloud server. The invention can determine and execute the optimal charging scheme by combining various factors, and fully meets the requirements of users.
Description
Technical Field
The invention belongs to the technical field of charging of new energy automobiles, and particularly relates to an intelligent charging method and system for an electric automobile.
Background
At present, new energy automobiles have started to be popularized, and then the problem of how to charge the automobiles is solved. The electricity rates are different for each city and also for each time period. For the car owner, it is a troublesome matter to charge the car at a time interval when the electricity charge is as low as possible, but the car owner cannot influence the timely car usage, because the local electricity charge and the time interval distribution need to be known, and the charging time is calculated according to the car usage time. At present, the system for intelligent charging of the electric automobile is less, most of charging piles only provide a charging function, and the charging process cannot be dynamically adjusted according to factors such as local electricity price and vehicle using time. Therefore, a charging scheme combining the charging performance of the electric vehicle, the local electricity price time period, the vehicle using time, the minimum charging capacity and other factors is certainly required by a large number of new energy vehicle owners.
Disclosure of Invention
The invention aims to provide an intelligent charging method for an electric automobile, which can intelligently adjust a charging scheme and implement the charging scheme so as to meet the requirements of users.
In order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent charging method for an electric automobile is used for realizing intelligent charging of the electric automobile, and comprises the following steps: configuring an intelligent charging mode for the charging process of the electric automobile, and setting a minimum SOC value required by charging, a vehicle using time and a target SOC value when the vehicle using time is up by a user of the electric automobile before charging;
under the wisdom mode of charging, when electric automobile connects the electric pile of filling, detect electric automobile's current SOC value, if current SOC value is less than minimum SOC value, then begin immediately and carry out the charging process, if current SOC value is greater than or equal to minimum SOC value, then according to current SOC value, target SOC value calculation charge duration, and combine charge duration, the state of price of electricity and the time of using the car determines charge start time and charge end time, thereby generates and satisfies the time of using the car with target SOC value and price optimal charging scheme, and then according to the charging scheme execution charging process.
Preferably, the charging period is calculated based on big data and a machine learning model.
Preferably, an immediate charging mode and a timed charging mode are configured for the charging process of the electric vehicle, and then a user of the electric vehicle selects the immediate charging mode, the timed charging mode or the intelligent charging mode before charging and then executes a corresponding charging process.
Preferably, in the timed charging mode or the intelligent charging mode, when the corresponding charging end time is up, if the current SOC value of the electric vehicle reaches the target SOC value, the charging is stopped, otherwise, the charging is continued until the current SOC value of the electric vehicle reaches the target SOC value.
Preferably, the charging process adopts a charging pile control mode or an electric automobile control mode.
The invention also provides an intelligent charging method for the electric automobile, which can intelligently adjust the charging scheme and implement the charging scheme so as to meet the requirements of users, and the scheme is as follows:
the utility model provides an electric automobile intelligent charging system for realize electric automobile's intelligent charging, electric automobile intelligent charging system includes:
the intelligent user side is used for setting a minimum SOC value required by charging, vehicle using time and a target SOC value when the vehicle using time arrives before the user of the electric vehicle charges;
the charging execution mechanism is used for executing a charging process according to an immediate charging instruction or an intelligent charging instruction; the charging execution mechanism comprises a charging pile, or the charging execution mechanism comprises an intelligent communication terminal and a charging pile which are arranged on the electric automobile;
the system comprises a vehicle end, a vehicle end and a vehicle end, wherein the vehicle end is used for detecting the current SOC value of the electric vehicle;
the cloud server is communicated with the intelligent user side, the charging execution mechanism and the vehicle end respectively; the cloud server is used for configuring a smart charging mode for the charging process of the electric automobile, and is also used for acquiring the current SOC value of the electric automobile under the smart charging mode and when the electric automobile is connected with a charging pile, judging the relation between the current SOC value and the minimum SOC value, wherein the current SOC value is smaller than an immediate charging instruction is sent out when the minimum SOC value is smaller than the minimum SOC value, the charging time is calculated according to the current SOC value and the target SOC value when the current SOC value is larger than or equal to the minimum SOC value, and the charging time, the electricity price state and the vehicle using time are combined to determine the charging starting time and the charging ending time, so that the vehicle using time, the charging scheme with the target SOC value and the optimal price are generated, and a corresponding smart charging instruction is sent out.
Preferably, the intelligent communication terminal is a T-BOX terminal which is respectively in communication with the cloud server and the electric vehicle.
Preferably, the cloud server calculates the charging duration based on big data and a machine learning model.
Preferably, the cloud server further configures an immediate charging mode and a timing charging mode for a charging process of the electric vehicle, and the intelligent user side is used for enabling a user of the electric vehicle to select the immediate charging mode, the timing charging mode or the intelligent charging mode before charging.
Due to the application of the technical scheme, compared with the prior art, the invention has the following advantages: the invention can determine and execute the optimal charging scheme by combining various factors, can intelligently and reasonably control the charging process and fully meet the requirements of users.
Drawings
Fig. 1 is a timing chart of the charging pile control method in the immediate charging mode.
Fig. 2 is a timing chart of the charging pile control method in the timer charging mode.
Fig. 3 is a timing diagram of the intelligent charging mode with the charging pile control mode.
Fig. 4 is a timing chart illustrating the control of the electric vehicle in the immediate charging mode.
FIG. 5 is a timing diagram of an electric vehicle control scheme in a timed charging mode.
FIG. 6 is a timing diagram of the intelligent charging mode with the control of the electric vehicle.
FIG. 7 is a schematic diagram of an interface set by a user in the present invention.
Detailed Description
The invention will be further described with reference to examples of embodiments shown in the drawings to which the invention is attached.
The first embodiment is as follows: an intelligent charging method for realizing intelligent charging of an electric automobile at least configures an intelligent charging mode for the charging process of the electric automobile, and also configures an immediate charging mode and a timing charging mode on the basis, wherein the charging process adopts a charging pile control mode or an electric automobile control mode. And a user of the electric vehicle needs to set a minimum SOC value required for charging, a vehicle-use time, and a target SOC value when the vehicle-use time is up before charging. The specific charging method is as follows:
charging pile control mode
1. The electric automobile is connected with the charging pile, a user uses an intelligent user side (APP) to bind the charging pile to be used, and relevant parameters of a charging scheme are set and a charging mode opened is selected.
2. And detecting the started charging mode, and detecting whether the current SOC value of the electric automobile is 100%, if so, not executing charging, and if not, continuing to execute the following steps.
3. If the immediate charging mode is started, the charging process is started immediately and an order is generated. Specifically, as shown in fig. 1, the smart client communicates with the cloud server and instructs to start charging immediately, the cloud server sends a charging start instruction to the charging pile, the charging pile starts charging the electric vehicle and returns a charging start result to the cloud server, and the cloud server performs charging timing in the charging process and can also provide charging real-time information to the smart client or the vehicle end. When the charging is required to be stopped, the intelligent user side communicates with the cloud server and indicates to close the charging immediately, and then the cloud server sends a charging stopping instruction to the charging pile, so that the charging process is finished.
4. If the timing charging mode is started, a user is required to preset a charging time period (comprising charging starting time, charging ending time and a repeating time period, such as saturday and sunday), firstly, a current SOC value of the electric automobile is detected, if the current SOC value is smaller than a minimum SOC value, a charging process is immediately started, an intelligent user side sends a charging starting instruction to a cloud server and generates an order, and therefore a charging pile starts to charge the electric automobile, which is similar to the charging process in the immediate charging mode. As shown in fig. 2, if the current SOC value is greater than or equal to the minimum SOC value, charging is not started immediately, whether the polling check time interval is within the set charging time interval is judged, if so, a charging start instruction is sent to the cloud server and an order is generated, otherwise, no operation is performed, charging is automatically started after the charging time interval set by the user is entered, the end time of the timed charging scheme is monitored subsequently, and the charging process is ended based on the charging stop instruction.
5. If the intelligent charging mode is started, firstly detecting the current SOC value of the electric automobile and judging the magnitude of the current SOC value, if the current SOC value is smaller than the minimum SOC value, immediately starting to execute the charging process, if the current SOC value is larger than or equal to the minimum SOC value, as shown in the attached figure 3, calculating the charging time length by the cloud server according to the current SOC value and the target SOC value, and determining the charging start time and the charging end time by combining the charging time length, the electricity price state and the vehicle using time, so that a charging scheme which meets the vehicle using time and the target SOC value and is optimal in price is generated, and then executing the charging process according to the charging scheme, namely executing the charging process when the charging time period determined by the charging scheme is entered.
The determined charging scheme needs to satisfy the following two conditions:
a) charging using a local low electricity price period as much as possible;
b) and completing charging before the vehicle using time set by the user.
The core of the intelligent charging mode is to estimate the charging time. For example, a user inserts a gun 10, then starts smart charging, and plans to use the vehicle at 15, the current SOC of the electric vehicle is 30%, and the user wants to charge the vehicle to 60% in the using time. In such a scenario, it is necessary to estimate the time period required for charging the SOC from 30% to 60%, and then perform a specific charging period planning for the time period in combination with the local electricity price period. The accurate charging duration is estimated, the planning result is directly determined, and the user experience is directly influenced.
In order to estimate the time length needed by charging more accurately, big data and a machine learning model are introduced in the scheme, namely the charging time length is calculated based on the big data and the machine learning model. The database of the model includes most vehicle model data. Meanwhile, the vehicle connected with the system can also upload current state data in real time, an algorithm for estimating the charging time length is generated by the model through analysis of a large amount of historical data and real-time data of the electric vehicle, and the required charging time length of the current electric vehicle is calculated by combining factors such as the vehicle type, the battery health degree, the battery state, the charging voltage, the battery temperature, the environment temperature, the alarm threshold value and the like of the current electric vehicle, so that the charging time length of the current electric vehicle is high in accuracy.
6. And under the timing charging mode or the intelligent charging mode, the trigger is executed at a timing, so that an instruction of starting or stopping charging is sent to the charging pile according to the planned charging time period, and the charging process is executed.
7. Under timing charge mode or wisdom charge mode, to the processing when arriving after the car time but the electric quantity has not reached the target electric quantity, the processing method that this scheme adopted is: when the corresponding charging end time is up, checking whether the current SOC value reaches the target SOC value set by the user. And if the current SOC value of the electric automobile reaches the target SOC value, stopping charging, otherwise, continuing charging until the current SOC value of the electric automobile reaches the target SOC value, and then automatically stopping charging. The method is used for ensuring that the SOC of the electric automobile can reach the target SOC required by a user. Because although the user sets the usage time, in a normal case, the user does not immediately use the vehicle, and there is a high possibility that the user cancels or forgets the usage plan. However, if the current SOC of the electric vehicle does not reach the target SOC set by the user, it is obviously not reasonable to stop charging due to the time of using the electric vehicle. Therefore, the scheme improves the charging process, and the charging process is continued even when the vehicle using time is up, by taking the target SOC set by the user as the standard for stopping the charging process. In addition, the scheme provides an immediate charging ending function, and a user can remotely stop charging at any time through the operation of the intelligent user side.
8. The key operations in the above logic are to acquire the current SOC of the electric vehicle, control the start and stop of charging. In the scheme, the current SOC of the electric automobile is obtained through the function of the vehicle-mounted Bluetooth module.
Therefore, the electric vehicle intelligent charging system for realizing the electric vehicle intelligent charging method comprises an intelligent user side, a charging execution mechanism, a vehicle machine side and a cloud server.
The intelligent user side (APP) is used for setting a minimum SOC value required by charging, vehicle using time and a target SOC value when the vehicle using time arrives before charging for a user of the electric vehicle, and can also remotely send a contact charging instruction and the like. The user side is also used for enabling a user of the electric automobile to select an immediate charging mode, a timing charging mode or an intelligent charging mode before charging.
The charging execution mechanism is used for executing a charging process according to an immediate charging instruction or an intelligent charging instruction, and the charging execution mechanism in the embodiment comprises a charging pile as the charging pile control mode is adopted in the embodiment.
The vehicle end is used for detecting the current SOC value of the electric vehicle.
Cloud server respectively with intelligent user end, charge actuating mechanism, car machine end communication, its function includes: the intelligent charging system is used for configuring an intelligent charging mode and other two charging modes for the charging process of the electric automobile, and is also used for acquiring the current SOC value of the electric automobile in the intelligent charging mode when the electric automobile is connected with a charging pile, judging the relation between the current SOC value and the minimum SOC value, sending an immediate charging instruction when the current SOC value is smaller than the minimum SOC value, calculating the charging time according to the current SOC value and the target SOC value when the current SOC value is larger than or equal to the minimum SOC value, and determining the charging start time and the charging end time by combining the charging time, the electricity price state and the vehicle using time, so that a charging scheme which meets the vehicle using time and the target SOC value and has the optimal price is generated and sending a corresponding intelligent charging instruction; and also for controlling the charging process in an immediate charging mode and a timed charging mode. And when the cloud server generates the charging scheme, calculating the charging time length based on the big data and the machine learning model.
Control mode of electric automobile
With fill electric pile control mode's difference lie in: in the electric automobile control mode, the electric automobile replaces a charging pile to control charging and discharging. In the scheme of the electric vehicle control mode, a charging pile needs to keep a state of continuously starting a CP signal, an intelligent communication terminal (T-BOX terminal) for communication is installed on the electric vehicle, a charging starting and stopping instruction is sent to a cloud server by an intelligent user side, then the cloud server sends the instruction to the intelligent communication terminal (T-BOX terminal), finally the intelligent communication terminal (T-BOX terminal) converts the received instruction and sends the instruction to the inside of the electric vehicle for processing through a DBC protocol, and therefore the charging process is controlled, and the cloud server does not directly send the instruction to the charging pile to control the charging process. When the electric vehicle control mode is adopted, the timing diagrams in the immediate charging mode, the timing charging mode and the intelligent charging mode are respectively shown in fig. 4, 5 and 6.
Based on this, electric automobile intelligent charging system under the electric automobile control mode and fill electric pile control mode electric automobile intelligent charging system's difference lie in: the charging execution mechanism comprises an intelligent communication terminal (T-BOX terminal) and a charging pile which are arranged on the electric automobile; the intelligent communication terminal (T-BOX terminal) is respectively communicated with the cloud server and the electric automobile.
In the scheme, the method comprises the following steps: 1. the charging curve of the electric automobile is obtained by using big data analysis, so that the charging performance of each automobile type can be estimated more accurately, and the charging plan is more accurate; 2. dynamically planning a charging period according to the local electricity price and the user requirement; 3. optimizing charging operation by combining a charging target after the vehicle using time is reached; 4. a timed charging and intelligent charging scheme is provided.
In order to better meet the requirements of users, the scheme also provides a timing charging scheme. The user can set the charging period, the charging target, and the like for monday through sunday, respectively, as shown in fig. 7, so that charging is performed according to the user's setting.
To sum up, the advantage of this scheme lies in:
1. the charging time interval is intelligently and dynamically adjusted, on the premise of ensuring that the charging can be completed before the vehicle using time, the local high-electricity-price time interval is avoided, the local lowest-electricity-price time interval is used for charging, the electricity-price off-peak time interval is fully utilized for charging, and the charging cost is saved;
2. according to the minimum SOC set by a user, a charging scheme is intelligently adjusted, the vehicle is guaranteed to be charged to reach the minimum SOC value at the first time with the fastest time and the lowest electricity price, and the emergency vehicle using condition is met;
3. the charging required time is estimated more accurately by using a big data analysis and machine learning model;
4. on the basis of using charging pile to control charging, the electric vehicle is supported to control charging behavior. The vehicle control charging realized through the T-BOX is more concise and reasonable than the whole framework of charging pile control charging behavior, and is not limited by the vehicle-mounted Bluetooth function any more.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (9)
1. An intelligent charging method of an electric automobile is used for realizing intelligent charging of the electric automobile, and is characterized in that: the intelligent charging method of the electric automobile comprises the following steps: configuring an intelligent charging mode for the charging process of the electric automobile, and setting a minimum SOC value required by charging, a vehicle using time and a target SOC value when the vehicle using time is up by a user of the electric automobile before charging;
under the wisdom mode of charging, when electric automobile connects the electric pile of filling, detect electric automobile's current SOC value, if current SOC value is less than minimum SOC value, then begin immediately and carry out the charging process, if current SOC value is greater than or equal to minimum SOC value, then according to current SOC value, target SOC value calculation charge duration, and combine charge duration, the state of price of electricity and the time of using the car determines charge start time and charge end time, thereby generates and satisfies the time of using the car with target SOC value and price optimal charging scheme, and then according to the charging scheme execution charging process.
2. The intelligent charging method for the electric automobile according to claim 1, characterized in that: calculating the charge duration based on big data and a machine learning model.
3. The intelligent charging method for the electric automobile according to claim 1 or 2, characterized in that: an instant charging mode and a timing charging mode are configured for the charging process of the electric automobile, and then a user of the electric automobile selects the instant charging mode, the timing charging mode or the intelligent charging mode before charging and then executes the corresponding charging process.
4. The intelligent charging method for the electric automobile according to claim 3, characterized in that: and under the timing charging mode or the intelligent charging mode, when the corresponding charging end time is up, if the current SOC value of the electric automobile reaches the target SOC value, the charging is stopped, otherwise, the charging is continued until the current SOC value of the electric automobile reaches the target SOC value.
5. The intelligent charging method for the electric automobile according to claim 3, characterized in that: the charging process adopts a charging pile control mode or an electric automobile control mode.
6. The utility model provides an electric automobile intelligent charging system for realize electric automobile's intelligent charging, its characterized in that: electric automobile intelligent charging system includes:
the intelligent user side is used for setting a minimum SOC value required by charging, vehicle using time and a target SOC value when the vehicle using time arrives before the user of the electric vehicle charges;
the charging execution mechanism is used for executing a charging process according to an immediate charging instruction or an intelligent charging instruction; the charging execution mechanism comprises a charging pile, or the charging execution mechanism comprises an intelligent communication terminal and a charging pile which are arranged on the electric automobile;
the system comprises a vehicle end, a vehicle end and a vehicle end, wherein the vehicle end is used for detecting the current SOC value of the electric vehicle;
the cloud server is communicated with the intelligent user side, the charging execution mechanism and the vehicle end respectively; the cloud server is used for configuring a smart charging mode for the charging process of the electric automobile, and is also used for acquiring the current SOC value of the electric automobile under the smart charging mode and when the electric automobile is connected with a charging pile, judging the relation between the current SOC value and the minimum SOC value, wherein the current SOC value is smaller than an immediate charging instruction is sent out when the minimum SOC value is smaller than the minimum SOC value, the charging time is calculated according to the current SOC value and the target SOC value when the current SOC value is larger than or equal to the minimum SOC value, and the charging time, the electricity price state and the vehicle using time are combined to determine the charging starting time and the charging ending time, so that the vehicle using time, the charging scheme with the target SOC value and the optimal price are generated, and a corresponding smart charging instruction is sent out.
7. The intelligent charging device for the electric automobile according to claim 6, characterized in that: the intelligent communication terminal is a T-BOX terminal which is respectively communicated with the cloud server and the electric automobile.
8. The intelligent charging device for the electric automobile according to claim 6, characterized in that: the cloud server calculates the charging duration based on big data and a machine learning model.
9. The intelligent charging device for the electric automobile according to claim 6, 7 or 8, characterized in that: the cloud server is further used for configuring an immediate charging mode and a timing charging mode for the charging process of the electric automobile, and the intelligent user side is used for enabling a user of the electric automobile to select the immediate charging mode, the timing charging mode or the intelligent charging mode before charging.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011250784.5A CN112339601A (en) | 2020-11-11 | 2020-11-11 | Intelligent charging method and system for electric automobile |
Applications Claiming Priority (1)
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