CN118478737B - Intelligent monitoring method for charging data based on wireless connection and storage medium thereof - Google Patents
Intelligent monitoring method for charging data based on wireless connection and storage medium thereof Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims description 9
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 230000005856 abnormality Effects 0.000 claims description 46
- 238000011156 evaluation Methods 0.000 claims description 8
- 238000009960 carding Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 8
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Classifications
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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
- B60L53/66—Data transfer between charging stations and vehicles
- B60L53/665—Methods related to measuring, billing or payment
-
- 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
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
-
- 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
- B60L53/68—Off-site monitoring or control, e.g. remote control
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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
- B60L2250/00—Driver interactions
- B60L2250/10—Driver interactions by alarm
-
- 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
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/44—Control modes by parameter estimation
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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
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application discloses a charge data intelligent supervision method based on wireless connection and a storage medium thereof, which are used for analyzing characteristic charge data generated by a user in the process of completing vehicle charging by using a charging device, judging and identifying the value of the residual electric quantity of the vehicle which meets the use habit of the user and does not cause the overdischarge state of the vehicle, thereby realizing the charge planning prompt of the user on the basis, the application can scientifically provide scientific guidance for how much electric quantity of the vehicle is needed to be charged and how long the waiting time needed to charge the electric quantity to the value in the process of charging the vehicle by selecting the charging device each time for a user, and can realize the assessment of abnormal loss of the vehicle battery based on the execution condition of the charging planning prompt sent by the vehicle in the historical charging use record, thereby providing an early warning prompt of battery risk for the user.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring of charging data, in particular to an intelligent monitoring method of charging data based on wireless connection and a storage medium thereof.
Background
In recent years, the electric vehicle has been popularized in a certain application range due to the advantages of energy conservation, environmental protection, high energy utilization rate and the like, and as a charging device of the electric vehicle, the quick rise of the charging pile of the electric vehicle is also inevitable, the current charging pile can be in wired connection with a charging station gateway through a quick Ethernet (FAST ETHERNET, FE) or other connection modes, the charging station gateway can be connected with a charging pile maintenance platform where a charging pile operation platform is located through the quick Ethernet, and the management and control of the charging pile are realized through the charging pile operation platform; the charging pile is used as novel charging equipment, is more and more popular with vast owners due to the characteristics of high efficiency, safety and convenience, and simultaneously means that competition is also more vigorous.
As charging data generated by a user in the process of using the charging device, the charging habit of the user on the charging device can be reflected to a certain extent, the charging data can be scientifically and effectively developed, reasonably analyzed and utilized, the intelligent prompt management in the charging process can be realized for the user,
Disclosure of Invention
The invention aims to provide an intelligent monitoring method for charging data based on wireless connection and a storage medium thereof, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the intelligent monitoring method for charging data based on wireless connection comprises the following steps:
Step S1: when detecting that a user initiates a charging application to a certain charging device in a target charging area in a wireless connection mode, collecting the residual electric quantity value of a vehicle which is connected with equipment between the certain charging device, analyzing the current charging environment information of the vehicle, and judging whether the residual electric quantity value is the target electric quantity value of the vehicle used by the user;
Step S2: collecting all historical charging records generated by all charging device ends of any vehicle in a target charging area, collecting all historical target electric quantity values extracted from all historical charging records, and screening out characteristic electric quantity values of a user using any vehicle from all historical target electric quantity values;
Step S3: arranging all the historical charging records generated by all charging device ends of any vehicle in a target charging area according to time sequence to obtain a historical charging record sequence corresponding to the any vehicle, wherein every two adjacent historical charging records form a charging interval node corresponding to the any vehicle; characteristic information carding is carried out on charging rules presented by any vehicle in the corresponding historical charging record sequence;
Step S4: setting a charging planning prompt for each charging application of any vehicle by combining characteristic information presented by the any vehicle in a corresponding historical charging record sequence and a corresponding characteristic electric quantity value;
Step S5: each time a real-time charging application of any vehicle is received, a previous historical charging record generated by the any vehicle in a target charging area is extracted, and in combination with the previous historical charging record, the execution condition of a charging planning prompt sent to the any vehicle by a corresponding user and the residual electric quantity value displayed by the current any vehicle are combined, so that the abnormal evaluation of the battery loss of the any vehicle is carried out;
Step S6: after each pair of any vehicle finishes one-time battery loss abnormality assessment, carding the distribution situation of battery abnormality presented by any vehicle, and judging whether to carry out early warning prompt of battery risk to any vehicle.
Preferably, the step S1 includes:
step S1-1: if a user is detected to initiate a charging application to a certain charging device in a target charging area when the time stamp is T, acquiring a residual electric quantity value Q of a vehicle which is connected with equipment between the certain charging device, acquiring the total number M of the charging devices in the target charging area, and capturing the total number N of the charging devices in an idle state when the time stamp is T;
Step S1-2: capturing a time stamp T 'of the idle state after the historical charging connection record with the shortest time interval between the time stamp T is completed by the certain charging device, and acquiring response transition time t=T-T' of the certain charging device to the current charging application; wherein the idle state refers to a state in which the charging device is not in charge and discharge for any vehicle;
Step S1-3: evaluating a charging environment index beta= (N/M) x t in a target charging area when the certain charging device responds to the current charging application, and judging the residual electric quantity value Q as a target electric quantity value of the vehicle used by a corresponding user when the charging environment index beta is smaller than an index threshold value; the smaller t indicates that the charging device is uninterrupted and is continuously used as a charging port, that is, the smaller t indicates that the duration of the idle state of the charging device is shorter before responding to the current charging application, the user is likely to select the charging device as the charging port to be charged in a shorter time after the charging device completes the last history charging connection record, and meanwhile means that when the charging device responds to the current charging application, the charging device available in the target charging area is short, and the possibility of tension of the available charging device in the target charging area is higher; the smaller the value of N/M, the fewer available charging devices in the target charging area are when the charging device responds to the current charging application, and the higher the tension degree of the available charging devices in the target charging area is;
If the charging environment index is smaller, the current charging application is described, and after the actual charging condition in the current target charging area is measured, that is, the situation that the charging devices which can be selected in the current target charging area are not enough is considered, and more time is possibly needed to wait is considered, the initiated charging application is carried out, the smaller the charging environment index is, the more the residual electric quantity value Q corresponding to the current vehicle is close to the minimum electric quantity value of the vehicle when the vehicle is judged to be required to be charged in the driving habit of the user.
Preferably, the step S2 includes: setting a lowest threshold value of residual electric quantity values, removing the target electric quantity value smaller than the lowest threshold value from all the historical target electric quantity values extracted according to all the historical charging records of any vehicle, selecting the smallest target electric quantity value from the residual target electric quantity values, and setting the smallest target electric quantity value as a characteristic electric quantity value corresponding to any vehicle; the residual electric quantity value corresponding to the situation that the vehicle battery is in an overdischarge state at the beginning is usually set as the lowest threshold value of the residual electric quantity, and in terms of actual scenes, the excessive electric consumption of the vehicle battery is less than twenty percent, so that the lowest threshold value can be adjusted up and down according to twenty percent; the reason for eliminating the target electric quantity value smaller than the minimum threshold value is that, in response to the charging applications of these too low target electric quantity values, the user selects to initiate to the charging device in case of the shortage of the available charging devices in the known target charging area, often because the current residual electric quantity is too low, which is an objective selection made by the user based on consideration of possible phenomena affecting normal driving of the vehicle.
Preferably, the step S3 includes:
Step S3-1: for each charging interval node of any vehicle, extracting a residual electric quantity value R1 displayed by the any vehicle when a user selects to finish charging the any vehicle from a history charging record with a previous sequence, and extracting a residual electric quantity value R2 displayed by the any vehicle when the user selects to start charging the any vehicle from a history charging record with a subsequent sequence;
Step S3-2: acquiring a record interval duration te between two historical charging records contained in each charging interval node, and calculating to obtain an average interval duration te' in all charging interval nodes of any vehicle; and evaluating the characteristic utilization rate alpha= (R1-R2)/te of the arbitrary vehicle corresponding to each charging interval node, and calculating to obtain the average characteristic utilization rate alpha' of the arbitrary vehicle corresponding to all charging interval nodes.
Preferably, the step S4 includes:
Step S4-1: every time a certain vehicle A is detected to complete equipment connection with a certain charging device in a target charging area, a corresponding user initiates a charging application to the certain charging device in a wireless connection mode, and all historical charging records generated by the certain vehicle A in the target charging area are extracted;
Step S4-2: collecting a current residual electric quantity value Q A of the certain vehicle A, and extracting a characteristic electric quantity value F A, an average interval duration te A 'and an average characteristic use rate alpha A' based on all historical charging records;
step S4-3: calculating a recommended charge amount d=f A+teA'×αA' of the charge application and a recommended charge period tr= [ (F A+teA'×αA')-QA ]/v, where v represents a charge rate, for the certain vehicle a;
Step S4-4: and sending a charging planning prompt to a corresponding user terminal, wherein the content of the charging planning prompt comprises the recommended charging quantity D and the recommended charging duration Tr.
Preferably, the step S5 includes:
step S5-1: extracting a recommended charge amount x contained in a charge planning prompt sent to the arbitrary vehicle from the previous historical charge record of the arbitrary vehicle, and acquiring an average interval duration y extracted from all the historical charge records of the arbitrary vehicle;
step S5-2: and if the residual electric quantity value displayed by the arbitrary vehicle is larger than or equal to the recommended charge quantity x in the previous historical charging record when the user selects to finish charging the arbitrary vehicle, and the time interval between the current historical charging record and the previous historical charging record is larger than the average interval duration y, judging that the battery loss abnormality exists, and marking the battery loss abnormality for the arbitrary vehicle.
Preferably, the step S6 includes:
Step S6-1: if, in the primary battery loss abnormality evaluation performed on the current charging application of any vehicle, the display result is that the primary battery loss abnormality is marked on the any vehicle, and before the current battery loss abnormality is marked on the any vehicle, a continuous state exists in the historical battery loss abnormality mark on the any vehicle, and the total continuous number of times that the any vehicle is marked as the battery loss abnormality after the current battery loss abnormality is marked on the any vehicle is accumulated;
Step S6-2: and when the total continuous times are equal to the times threshold, sending an early warning prompt of battery risk to any vehicle.
The intelligent monitoring storage medium for charging data based on wireless connection stores computer instructions which can realize the method when being executed by a processor.
Compared with the prior art, the application has the following beneficial effects: according to the application, the characteristic charging data generated in the process of completing the vehicle charging by using the charging device is analyzed, the vehicle residual electric quantity value which meets the use habit of the user and does not cause the overdischarge state of the vehicle is judged and identified, so that the charging planning prompt of the user is realized on the basis, the scientific guidance is provided for the quantity of the electric quantity of the vehicle which is needed to be charged and the waiting time required for charging to the value in the process of realizing the vehicle charging by selecting the charging device each time by the user, and meanwhile, the application can realize the evaluation of the abnormal loss of the vehicle battery based on the execution condition of the charging planning prompt sent by the vehicle in the history charging use record, and provide the early warning prompt of the battery risk for the user.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flow chart of the wireless connection-based charge data intelligent supervision method of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: the intelligent monitoring method for charging data based on wireless connection comprises the following steps:
Step S1: when detecting that a user initiates a charging application to a certain charging device in a target charging area in a wireless connection mode, collecting the residual electric quantity value of a vehicle which is connected with equipment between the certain charging device, analyzing the current charging environment information of the vehicle, and judging whether the residual electric quantity value is the target electric quantity value of the vehicle used by the user; wherein, the step S1 includes:
step S1-1: if a user is detected to initiate a charging application to a certain charging device in a target charging area when the time stamp is T, acquiring a residual electric quantity value Q of a vehicle which is connected with equipment between the certain charging device, acquiring the total number M of the charging devices in the target charging area, and capturing the total number N of the charging devices in an idle state when the time stamp is T;
Step S1-2: capturing a time stamp T 'of the idle state after the historical charging connection record with the shortest time interval between the time stamp T is completed by the certain charging device, and acquiring response transition time t=T-T' of the certain charging device to the current charging application;
Step S1-3: and evaluating a charging environment index beta= (N/M) x t in a target charging area when the certain charging device responds to the current charging application, and judging the residual electric quantity value Q as a target electric quantity value of the vehicle used by a corresponding user when the charging environment index beta is smaller than an index threshold value.
Step S2: collecting all historical charging records generated by all charging device ends of any vehicle in a target charging area, collecting all historical target electric quantity values extracted from all historical charging records, and screening out characteristic electric quantity values of a user using any vehicle from all historical target electric quantity values;
wherein, the step S2 includes: setting a lowest threshold value of the residual electric quantity values, for example, setting the lowest threshold value of the residual electric quantity values to be 20%, removing the target electric quantity value smaller than the lowest threshold value from all the extracted historical target electric quantity values according to all the historical charging records of any vehicle, and selecting the smallest target electric quantity value from the residual target electric quantity values to be set as the characteristic electric quantity value corresponding to any vehicle;
Step S3: arranging all the historical charging records generated by all charging device ends of any vehicle in a target charging area according to time sequence to obtain a historical charging record sequence corresponding to the any vehicle, wherein every two adjacent historical charging records form a charging interval node corresponding to the any vehicle; characteristic information carding is carried out on charging rules presented by any vehicle in the corresponding historical charging record sequence;
Wherein, the step S3 includes:
Step S3-1: for each charging interval node of any vehicle, extracting a residual electric quantity value R1 displayed by the any vehicle when a user selects to finish charging the any vehicle from a history charging record with a previous sequence, and extracting a residual electric quantity value R2 displayed by the any vehicle when the user selects to start charging the any vehicle from a history charging record with a subsequent sequence;
Step S3-2: acquiring a record interval duration te between two historical charging records contained in each charging interval node, and calculating to obtain an average interval duration te' in all charging interval nodes of any vehicle; evaluating the characteristic utilization rate alpha= (R1-R2)/te of the random vehicle corresponding to each charging interval node, and calculating to obtain the average characteristic utilization rate alpha' of the random vehicle corresponding to all charging interval nodes;
Step S4: setting a charging planning prompt for each charging application of any vehicle by combining characteristic information presented by the any vehicle in a corresponding historical charging record sequence and a corresponding characteristic electric quantity value;
Wherein, the step S4 includes:
Step S4-1: every time a certain vehicle A is detected to complete equipment connection with a certain charging device in a target charging area, a corresponding user initiates a charging application to the certain charging device in a wireless connection mode, and all historical charging records generated by the certain vehicle A in the target charging area are extracted;
Step S4-2: collecting a current residual electric quantity value Q A of the certain vehicle A, and extracting a characteristic electric quantity value F A, an average interval duration te A 'and an average characteristic use rate alpha A' based on all historical charging records;
step S4-3: calculating a recommended charge amount d=f A+teA'×αA' of the charge application and a recommended charge period tr= [ (F A+teA'×αA')-QA ]/v, where v represents a charge rate, for the certain vehicle a;
step S4-4: sending a charging planning prompt to a corresponding user terminal, wherein the content of the charging planning prompt comprises the recommended charging quantity D and the recommended charging duration Tr;
Step S5: each time a real-time charging application of any vehicle is received, a previous historical charging record generated by the any vehicle in a target charging area is extracted, and in combination with the previous historical charging record, the execution condition of a charging planning prompt sent to the any vehicle by a corresponding user and the residual electric quantity value displayed by the current any vehicle are combined, so that the abnormal evaluation of the battery loss of the any vehicle is carried out;
wherein, the step S5 includes:
step S5-1: extracting a recommended charge amount x contained in a charge planning prompt sent to the arbitrary vehicle from the previous historical charge record of the arbitrary vehicle, and acquiring an average interval duration y extracted from all the historical charge records of the arbitrary vehicle;
Step S5-2: if in the previous history charging record, when a user selects to finish charging the arbitrary vehicle, the residual electric quantity value displayed by the arbitrary vehicle is larger than or equal to the recommended charging quantity x, the time interval between the current history charging record and the previous history charging record is larger than the average interval duration y, and the abnormal battery loss is judged to exist, and the arbitrary vehicle is marked with the abnormal battery loss;
Step S6: after each pair of any vehicles finishes one-time battery loss abnormality assessment, carding the distribution condition of battery abnormality presented by any vehicles, and judging whether to carry out early warning prompt of battery risk to any vehicles;
Wherein, the step S6 includes:
Step S6-1: if, in the primary battery loss abnormality evaluation performed on the current charging application of any vehicle, the display result is that the primary battery loss abnormality is marked on the any vehicle, and before the current battery loss abnormality is marked on the any vehicle, a continuous state exists in the historical battery loss abnormality mark on the any vehicle, and the total continuous number of times that the any vehicle is marked as the battery loss abnormality after the current battery loss abnormality is marked on the any vehicle is accumulated;
Step S6-2: when the total continuous times is equal to the times threshold value, an early warning prompt of battery risk is sent to any vehicle; for example, in the primary battery loss abnormality evaluation performed on the current charging application of any vehicle, the display result is that the primary battery loss abnormality flag is made for the any vehicle, and the history charging record 1, the history charging record 2, the history charging record 3, the history charging record 4, and the history charging record 5 of any vehicle are extracted;
If it is known that the vehicle is not marked for battery loss abnormality in the history 1, the vehicle is marked for battery loss abnormality in the history 2, the vehicle is not marked for battery loss abnormality in the history 3, and the vehicle is not marked for battery loss abnormality in the history 4, it is known that there is no continuous state of the history battery loss abnormality mark for the vehicle before the current battery loss abnormality mark;
If it is known that the vehicle is not marked with a battery loss abnormality in the history 1, the vehicle is marked with a battery loss abnormality in the history 2, the vehicle is marked with a battery loss abnormality in the history 3, and the vehicle is marked with a battery loss abnormality in the history 4, it is known that the history battery loss abnormality marked with the vehicle is in a continuous state before the current battery loss abnormality mark, that is, the history battery loss abnormality marked with the battery loss abnormality is continuously presented based on the history 2, the history 3, and the history 4, that is, 3 times continuously, and if the total number of times the vehicle is marked with the battery loss abnormality after the current battery loss abnormality mark is added is 4, an early warning indication that there is a battery risk is required to be sent to the vehicle if the number of times threshold is 4.
The intelligent charge data supervision storage medium based on wireless connection stores computer instructions, and when the computer instructions are executed by a processor, the intelligent charge data supervision method based on wireless connection can be realized.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The intelligent monitoring method for charging data based on wireless connection is characterized by comprising the following steps:
Step S1: when detecting that a user initiates a charging application to a certain charging device in a target charging area in a wireless connection mode, collecting the residual electric quantity value of a vehicle which is connected with equipment between the certain charging device, analyzing the current charging environment information of the vehicle, and judging whether the residual electric quantity value is the target electric quantity value of the vehicle used by the user;
Step S2: collecting all historical charging records generated by all charging device ends of any vehicle in a target charging area, collecting all historical target electric quantity values extracted from all historical charging records, and screening out characteristic electric quantity values of a user using any vehicle from all historical target electric quantity values;
Step S3: arranging all the historical charging records generated by all charging device ends of any vehicle in a target charging area according to time sequence to obtain a historical charging record sequence corresponding to the any vehicle, wherein every two adjacent historical charging records form a charging interval node corresponding to the any vehicle; characteristic information carding is carried out on charging rules presented by any vehicle in the corresponding historical charging record sequence;
Step S4: setting a charging planning prompt for each charging application of any vehicle by combining characteristic information presented by the any vehicle in a corresponding historical charging record sequence and a corresponding characteristic electric quantity value;
Step S5: each time a real-time charging application of any vehicle is received, a previous historical charging record generated by the any vehicle in a target charging area is extracted, and in combination with the previous historical charging record, the execution condition of a charging planning prompt sent to the any vehicle by a corresponding user and the residual electric quantity value displayed by the current any vehicle are combined, so that the abnormal evaluation of the battery loss of the any vehicle is carried out;
Step S6: after each pair of any vehicles finishes one-time battery loss abnormality assessment, carding the distribution condition of battery abnormality presented by any vehicles, and judging whether to carry out early warning prompt of battery risk to any vehicles;
the step S1 includes:
step S1-1: if a user is detected to initiate a charging application to a certain charging device in a target charging area when the time stamp is T, acquiring a residual electric quantity value Q of a vehicle which is connected with equipment between the certain charging device, acquiring the total number M of the charging devices in the target charging area, and capturing the total number N of the charging devices in an idle state when the time stamp is T;
Step S1-2: capturing a time stamp T 'of the idle state after the historical charging connection record with the shortest time interval between the time stamp T is completed by the certain charging device, and acquiring response transition time t=T-T' of the certain charging device to the current charging application;
Step S1-3: and evaluating a charging environment index beta= (N/M) x t in a target charging area when the certain charging device responds to the current charging application, and judging the residual electric quantity value Q as a target electric quantity value of the vehicle used by a corresponding user when the charging environment index beta is smaller than an index threshold value.
2. The intelligent supervision method for charging data based on wireless connection according to claim 1, wherein the step S2 includes: setting a lowest threshold value of residual electric quantity values, removing the target electric quantity value smaller than the lowest threshold value from all the historical target electric quantity values extracted according to all the historical charging records of any vehicle, selecting the smallest target electric quantity value from the residual target electric quantity values, and setting the smallest target electric quantity value as a characteristic electric quantity value corresponding to any vehicle.
3. The intelligent supervision method for charging data based on wireless connection according to claim 1, wherein the step S3 includes:
Step S3-1: for each charging interval node of any vehicle, extracting a residual electric quantity value R1 displayed by the any vehicle when a user selects to finish charging the any vehicle from a history charging record with a previous sequence, and extracting a residual electric quantity value R2 displayed by the any vehicle when the user selects to start charging the any vehicle from a history charging record with a subsequent sequence;
Step S3-2: acquiring a record interval duration te between two historical charging records contained in each charging interval node, and calculating to obtain an average interval duration te' in all charging interval nodes of any vehicle; and evaluating the characteristic utilization rate alpha= (R1-R2)/te of the arbitrary vehicle corresponding to each charging interval node, and calculating to obtain the average characteristic utilization rate alpha' of the arbitrary vehicle corresponding to all charging interval nodes.
4. The intelligent supervision method for charging data based on wireless connection according to claim 3, wherein the step S4 includes:
Step S4-1: every time a certain vehicle A is detected to complete equipment connection with a certain charging device in a target charging area, a corresponding user initiates a charging application to the certain charging device in a wireless connection mode, and all historical charging records generated by the certain vehicle A in the target charging area are extracted;
Step S4-2: collecting a current residual electric quantity value Q A of the certain vehicle A, and extracting a characteristic electric quantity value F A, an average interval duration te A 'and an average characteristic use rate alpha A' based on all historical charging records;
step S4-3: calculating a recommended charge amount d=f A+teA'×αA' of the charge application and a recommended charge period tr= [ (F A+teA'×αA')-QA ]/v, where v represents a charge rate, for the certain vehicle a;
Step S4-4: and sending a charging planning prompt to a corresponding user terminal, wherein the content of the charging planning prompt comprises the recommended charging quantity D and the recommended charging duration Tr.
5. The intelligent supervision method for charging data based on wireless connection according to claim 4, wherein the step S5 includes:
step S5-1: extracting a recommended charge amount x contained in a charge planning prompt sent to the arbitrary vehicle from the previous historical charge record of the arbitrary vehicle, and acquiring an average interval duration y extracted from all the historical charge records of the arbitrary vehicle;
step S5-2: and if the residual electric quantity value displayed by the arbitrary vehicle is larger than or equal to the recommended charge quantity x in the previous historical charging record when the user selects to finish charging the arbitrary vehicle, and the time interval between the current historical charging record and the previous historical charging record is larger than the average interval duration y, judging that the battery loss abnormality exists, and marking the battery loss abnormality for the arbitrary vehicle.
6. The intelligent supervision method for charging data based on wireless connection according to claim 5, wherein the step S6 includes:
Step S6-1: if, in the primary battery loss abnormality evaluation performed on the current charging application of any vehicle, the display result is that the primary battery loss abnormality is marked on the any vehicle, and before the current battery loss abnormality is marked on the any vehicle, a continuous state exists in the historical battery loss abnormality mark on the any vehicle, and the total continuous number of times that the any vehicle is marked as the battery loss abnormality after the current battery loss abnormality is marked on the any vehicle is accumulated;
Step S6-2: and when the total continuous times are equal to the times threshold, sending an early warning prompt of battery risk to any vehicle.
7. A wireless connection-based charge data intelligent supervision storage medium, wherein computer instructions are stored on the charge data intelligent supervision storage medium, and when the computer instructions are executed by a processor, the wireless connection-based charge data intelligent supervision method of any one of claims 1-6 can be realized.
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