CN110962673B - Intelligent charging control system for new energy electric automobile - Google Patents
Intelligent charging control system for new energy electric automobile Download PDFInfo
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- CN110962673B CN110962673B CN201911355314.2A CN201911355314A CN110962673B CN 110962673 B CN110962673 B CN 110962673B CN 201911355314 A CN201911355314 A CN 201911355314A CN 110962673 B CN110962673 B CN 110962673B
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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
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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
Abstract
The invention discloses an intelligent charging control system of a new energy electric automobile, which comprises a data acquisition module, a data analysis module, a signal analysis module, an information collection module, a controller, an identification processing module, a data interconnection module and a display recording module, wherein the data acquisition module is used for acquiring a data signal; the method comprises the steps of performing internal careful formula and assignment analysis on the charging operation state of the new energy electric vehicle, combining the obtained environment primary discrimination signal with the environment state to perform primary discrimination processing, performing transmission display on the obtained charging fault prompt signal after the primary correction formula analysis, associating the obtained use state secondary discrimination signal with the use state to perform secondary discrimination processing, performing targeted warning and recording according to the obtained hierarchical related signal after the secondary correction formula analysis, achieving the effects of safe charging prevention and dual intelligent optimization discrimination, and greatly improving the overall accuracy and data reliability.
Description
Technical Field
The invention relates to the technical field of charging control systems, in particular to an intelligent charging control system for a new energy electric automobile.
Background
The new energy electric automobile is a new fuel automobile composed of a control system such as electric drive and the like and a mechanical system such as drive power transmission and the like; the control system for electric drive and the like is the core of a new energy electric automobile and is the most different point from an internal combustion engine automobile, and the control system for electric drive and the like is mostly composed of a drive motor, a power supply, a speed regulation control device and the like.
However, in the document with the publication number CN110015100A, the actual charging time is calculated according to the charging amount to be purchased and the charging power only by the preset electricity price, or the actual charging amount is calculated according to the charging time to be purchased and the charging power by the preset electricity price, when the system obtains the charging signal confirmed by the user and the system finishes charging, the charging is started, and when the actual charging time or the actual charging amount reaches the calculated value, the charging is completed, so that the charging expense, the actual charging time or the actual charging amount of the new energy electric vehicle is more reasonable;
the intelligent charging control system is combined with the existing intelligent charging control system of the new energy electric automobile, the charging safety of the new energy electric automobile is judged mostly according to single voltage, temperature or environmental conditions, and the integral accuracy and the data reliability are easily influenced due to the lack of a deep combined analysis mode and a hierarchical optimization processing means; the charging operation condition of the new energy electric vehicle is difficult to be subjected to internal careful analysis, then is subjected to primary judgment processing with the environmental condition, is subjected to primary correction formula analysis, is subjected to secondary judgment processing with the use condition, and is subjected to secondary correction formula analysis to obtain a hierarchical related signal so as to give targeted warning and record, so that the effects of safe charging prevention and dual intelligent optimization judgment are achieved;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to provide an intelligent charging control system of a new energy electric vehicle, which combines an obtained environment primary discrimination signal with an environment condition to perform primary discrimination processing after the charging operation condition of the new energy electric vehicle is subjected to internal careful formula and assignment analysis, performs transmission display on an obtained charging fault prompting signal after the charging operation condition is analyzed by a primary correction formula, associates an obtained use condition secondary discrimination signal with the use condition to perform secondary discrimination processing, performs targeted warning and recording according to an obtained layer level related signal after the charging operation condition secondary discrimination signal is analyzed by a secondary correction formula, achieves the effects of safe charging precaution and dual intelligent optimization discrimination, and greatly improves the overall accuracy and data reliability.
The technical problems to be solved by the invention are as follows:
how to judge the charging safety of the new energy electric vehicle by an effective mode according to single voltage, temperature or environmental conditions in most of the prior art is solved, and the overall accuracy and the data reliability are easily influenced because the charging safety of the new energy electric vehicle is lack of a deep combination analysis mode and a hierarchical optimization processing means; and the charging operation condition of the new energy electric automobile is difficult to be subjected to primary judgment processing with the environmental condition after internal careful analysis, and is subjected to secondary judgment processing with the use condition after being analyzed by a primary correction formula, and a hierarchical related signal is obtained through secondary correction formula analysis to give targeted warning and record, so that the effects of safe charging prevention and dual intelligent optimization judgment are achieved.
The purpose of the invention can be realized by the following technical scheme:
an intelligent charging control system for a new energy electric vehicle comprises a data acquisition module, a data analysis module, a signal analysis module, an information collection module, a controller, an identification processing module, a data interconnection module and a display recording module;
the data acquisition module is used for acquiring the charging operation information of the new energy electric automobile in real time and transmitting the charging operation information to the data analysis module;
after receiving the real-time charging operation information of the new energy electric vehicle, the data analysis module carries out charging operation monitoring analysis operation on the new energy electric vehicle to obtain a safe charging operation signal and an environment primary judgment signal in the charging process, and transmits the safe charging operation signal and the environment primary judgment signal to the signal analysis module;
after the signal analysis module receives the real-time safe charging operation signal, no processing is performed; after receiving the real-time environment primary discrimination signal, the signal analysis module calls environment monitoring information of each new energy electric vehicle in the same time period corresponding to the environment primary discrimination signal from the information collection module, performs environment monitoring analysis operation according to the environment monitoring information, obtains a charging fault prompt signal and a use condition secondary discrimination signal in the same time period corresponding to the environment primary discrimination signal in the charging process, transmits the use condition secondary discrimination signal to the discrimination processing module through the controller, and transmits the charging fault prompt signal to the data interconnection module through the controller;
after receiving the real-time charging fault prompt signal, the data interconnection module sends the new energy electric vehicle corresponding to the data interconnection module to a user mobile phone, and the user mobile phone is communicated with the data interconnection module in a wireless transmission mode and the like;
after receiving the real-time use condition secondary identification signal, the identification processing module also calls the use condition information of each new energy electric vehicle in the first time level corresponding to the use condition secondary identification signal from the information collection module, analyzes the use condition of each new energy electric vehicle according to the use condition information, obtains a charging condition warning signal and a recording signal in the first time level corresponding to the use condition secondary identification signal, and transmits the charging condition warning signal and the recording signal to the display recording module through the controller;
the information collection module is used for collecting environmental monitoring information and use condition information of the new energy electric vehicle in real time and storing the environmental monitoring information and the use condition information into an internal folder;
after receiving the real-time charging working condition warning signal, the display recording module sends the new energy electric vehicle corresponding to the display recording module to a display screen through a color mark; and after receiving the real-time recording signal, the display recording module records the new energy electric automobile corresponding to the display recording module, and when the total occurrence frequency of the new energy electric automobile is greater than a threshold value, the display recording module sends the new energy electric automobile to a display screen through a flashing mark.
Further, the charging operation information of the new energy electric automobile is composed of a charging magnitude of the new energy electric automobile, a voltage variable level of the new energy electric automobile and a temperature variable level of the new energy electric automobile; the charging magnitude of the new energy electric automobile is composed of the residual electric quantity before charging, the stored electric quantity after charging and charging time, the voltage variable level of the new energy electric automobile represents the average variation of the actual charging voltage, the temperature variable level of the new energy electric automobile represents the average variation of the actual charging temperature, and all the data can be obtained according to the modes of a sensor, a monitor, a timer and the like.
Further, the specific steps of the charging operation monitoring and analyzing operation are as follows:
the method comprises the following steps: acquiring charging operation information of the new energy electric vehicle in a charging process, and respectively marking the charging magnitude of each new energy electric vehicle, the voltage variation level of each new energy electric vehicle and the temperature variation level of each new energy electric vehicle as Qi, Wi and Ei, wherein i is 1.
Step two: respectively marking the residual electric quantity before charging, the stored electric quantity after charging and the charging time corresponding to the charging magnitude Qi of each new energy electric vehicle as Ri, Ti and Yi, wherein i is 1.. n, and Ri, Ti and Yi are in one-to-one correspondence with each other; and according to the formula
N, obtaining the charging magnitude Qi of each new energy electric vehicle in the charging process, wherein the charging magnitude Qi is a charging factor which is greater than or equal to 2.5817;
step three: when the charging magnitude Qi of each new energy electric vehicle is larger than the maximum value of the preset range q, is located in the preset range q and is smaller than the minimum value of the preset range q, respectively giving calibration positive values M1, M2 and M3 to the new energy electric vehicles, wherein M1 is larger than M2 and is larger than M3; when the voltage variation level Wi of each new energy electric automobile is larger than a preset value w and smaller than or equal to the preset value w, respectively giving the voltage variation level Wi to calibration positive values N1 and N2, wherein N1 is smaller than N2; when the temperature variation Ei of each new energy electric automobile is larger than a preset value e and smaller than or equal to the preset value e, respectively giving calibration positive values B1 and B2 to the new energy electric automobiles, wherein B1 is smaller than B2; according to a formula Ui, namely Qi, z, Wi, x, Ei, c, i 1, n, obtaining the charging operation magnitude Ui of each new energy electric vehicle in the charging process, wherein z, x and c are weight coefficients, z is larger than c, and z + x + c is 4.5881;
step four: when the charging operation magnitude Ui of each new energy electric vehicle in the charging process is greater than or equal to the preset value u, generating a safe charging operation signal for the new energy electric vehicle corresponding to the Ui, and otherwise, generating a primary environment discrimination signal for the new energy electric vehicle corresponding to the Ui.
Furthermore, the environment monitoring information of the new energy electric automobile is composed of the maximum smoke concentration of the environment of the new energy electric automobile, the average environment temperature of the new energy electric automobile and the maximum environment humidity of the new energy electric automobile, the use condition information of the new energy electric automobile is composed of the total charging times of the new energy electric automobile, the average charging time of the new energy electric automobile and the number of days between two adjacent charges of the new energy electric automobile, and all the data can be obtained according to the modes of a sensor, a monitor and the like.
Further, the specific steps of the environmental monitoring and analyzing operation are as follows:
the method comprises the following steps: acquiring environment monitoring information of each new energy electric vehicle at the same time period corresponding to an environment primary discrimination signal in a charging process, and respectively calibrating the maximum environmental smoke concentration of each new energy electric vehicle, the average environmental temperature of each new energy electric vehicle and the maximum environmental humidity of each new energy electric vehicle as Pj, Aj and Sj, wherein j is 1.. m, Pj, Aj and Sj are in one-to-one correspondence with each other, a variable j corresponds to each new energy electric vehicle in the environment primary discrimination signal, and m represents a positive integer greater than 1;
step two: according to the formula
M, obtaining an environment magnitude Dj of each new energy electric vehicle in the same time period corresponding to the environment first-level judgment signal in the charging process, wherein p, a and s are environment factors, a is smaller than s and smaller than p, and a + s + p is 4.6628, rho, sigma and mu are environment correction coefficients, and rho is larger than sigma and larger than mu, and rho + sigma + mu is 3.5881;
step three: comparing the environmental magnitude Dj of each new energy electric vehicle in the same time period corresponding to the environmental primary discrimination signal in the charging process, and when the environmental magnitude Dj is greater than or equal to a preset value d, generating a charging fault prompt signal for the new energy electric vehicle corresponding to the Dj, otherwise, generating a use condition secondary discrimination signal for the new energy electric vehicle corresponding to the Dj.
Further, the specific steps of the operation of analyzing the use condition are as follows:
the method comprises the following steps: acquiring use condition information of each new energy electric vehicle in a first time level corresponding to the use condition secondary identification signal, and respectively marking the total charging times of each new energy electric vehicle, the average charging time of each new energy electric vehicle and the interval days between two adjacent times of charging of each new energy electric vehicle as Fb, Gb and Hb, wherein b is 1.. v, and Fb, Gb and Hb are in one-to-one correspondence with each other, the first time level represents the time length of one month before the use condition secondary identification signal is received in real time, a variable b corresponds to each new energy electric vehicle in the use condition secondary identification signal, and b represents a positive integer greater than 1;
step two: first according to the formula
b 1.. v, working condition magnitude Kb of each new energy electric vehicle in a first time level corresponding to the secondary identification signal of the use condition is obtained, f, g and h are all use factors, f is larger than g and larger than h, and f + g + h is 6.5218, lambda, gamma and alpha are all working condition correction factors, and lambda is smaller than gamma and smaller than alpha, and lambda + gamma + alpha is 2.8895; and comparing the working condition magnitude Kb of each new energy electric vehicle in the first time level corresponding to the secondary identification signal of the use condition with a preset value k, and when the working condition magnitude Kb is greater than or equal to the preset value k, generating a charging working condition warning signal for the new energy electric vehicle corresponding to the Kb, otherwise, generating a recording signal for the new energy electric vehicle corresponding to the Kb.
The invention has the beneficial effects that:
the method comprises the steps of acquiring charging operation information of the new energy electric automobile in real time, monitoring and analyzing the charging operation, namely, primarily calibrating the charging magnitude of each new energy electric automobile, the voltage variation level of each new energy electric automobile and the temperature variation level of each new energy electric automobile, secondarily calibrating the residual electric quantity before charging, the stored electric quantity after charging and the charging time corresponding to the charging magnitude Qi of each new energy electric automobile, performing formulated analysis on the residual electric quantity, the stored electric quantity after charging and the charging time, and performing assignment analysis and data comparison on the whole to obtain a safe charging operation signal and an environment primary discrimination signal in the charging process;
according to the environment primary judging signal received in real time, environment monitoring information of each new energy electric automobile in the same time period corresponding to the environment primary judging signal is called, and accordingly, environment monitoring analysis operation is carried out, namely the maximum smoke concentration of the environment of each new energy electric automobile, the average environment temperature of each new energy electric automobile and the maximum environment humidity of each new energy electric automobile are subjected to data calibration, primary correction processing and data comparison, and a charging fault prompting signal and a use condition secondary distinguishing signal in the same time period corresponding to the environment primary judging signal in the charging process are obtained;
sending the new energy electric vehicle corresponding to the charging fault prompt signal to a mobile phone of a user;
according to the service condition secondary identification signal received in real time, calling service condition information of each new energy electric vehicle in a first time level corresponding to the service condition secondary identification signal, and analyzing the service condition of each new energy electric vehicle according to the service condition information, namely calibrating the total charging times of each new energy electric vehicle, the average charging time of each new energy electric vehicle and the interval days between two adjacent times of charging of each new energy electric vehicle through data, performing secondary correction processing and comparing the data to obtain a charging condition warning signal and a recording signal in the first time level corresponding to the service condition secondary identification signal;
the new energy electric automobile corresponding to the charging working condition warning signal is sent to a display screen through a color mark; and records the new energy electric automobile corresponding to the recording signal, when the total occurrence frequency of the new energy electric automobile is greater than a threshold value, the new energy electric automobile is sent to a display screen through a flashing mark, further, after the charging operation condition of the new energy electric automobile is analyzed by an internal detailed formula and an assignment, the obtained environment primary discrimination signal is combined with the environment condition to carry out primary discrimination processing, and the obtained charging fault prompt signal is transmitted and displayed after being analyzed by a primary correction formula, and the obtained secondary identification signal of the use condition is associated with the use condition to carry out secondary discrimination processing, after the secondary correction formula analysis, the specific warning and record are made according to the obtained hierarchical related signals, the effects of safe charging prevention and dual intelligent optimization judgment are achieved, and the overall accuracy and the data reliability are greatly improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an intelligent charging control system for a new energy electric vehicle comprises a data acquisition module, a data analysis module, a signal analysis module, an information collection module, a controller, an identification processing module, a data interconnection module and a display recording module;
the data acquisition module is used for acquiring the charging operation information of the new energy electric automobile in real time, and the charging operation information of the new energy electric automobile consists of the charging magnitude of the new energy electric automobile, the voltage level change of the new energy electric automobile and the temperature level change of the new energy electric automobile; the charging magnitude of the new energy electric automobile is composed of the residual electric quantity before charging, the stored electric quantity after charging and the charging time, the voltage variable level of the new energy electric automobile represents the average variable quantity of the actual charging voltage, the temperature variable level of the new energy electric automobile represents the average variable quantity of the actual charging temperature, and the average variable quantity is transmitted to the data analysis module;
after receiving the real-time charging operation information of the new energy electric vehicle, the data analysis module carries out charging operation monitoring analysis operation on the new energy electric vehicle, and the method comprises the following specific steps:
the method comprises the following steps: acquiring charging operation information of the new energy electric vehicle in a charging process, and respectively marking the charging magnitude of each new energy electric vehicle, the voltage variation level of each new energy electric vehicle and the temperature variation level of each new energy electric vehicle as Qi, Wi and Ei, wherein i is 1.
Step two: respectively marking the residual electric quantity before charging, the stored electric quantity after charging and the charging time corresponding to the charging magnitude Qi of each new energy electric vehicle as Ri, Ti and Yi, wherein i is 1.. n, and Ri, Ti and Yi are in one-to-one correspondence with each other; and according to the formula
N, obtaining the charging magnitude Qi of each new energy electric vehicle in the charging process, wherein the charging magnitude Qi is a charging factor which is greater than or equal to 2.5817;
step three: when the charging magnitude Qi of each new energy electric vehicle is larger than the maximum value of the preset range q, is located in the preset range q and is smaller than the minimum value of the preset range q, respectively giving calibration positive values M1, M2 and M3 to the new energy electric vehicles, wherein M1 is larger than M2 and is larger than M3; when the voltage variation level Wi of each new energy electric automobile is larger than a preset value w and smaller than or equal to the preset value w, respectively giving the voltage variation level Wi to calibration positive values N1 and N2, wherein N1 is smaller than N2; when the temperature variation Ei of each new energy electric automobile is larger than a preset value e and smaller than or equal to the preset value e, respectively giving calibration positive values B1 and B2 to the new energy electric automobiles, wherein B1 is smaller than B2; according to a formula Ui, namely Qi, z, Wi, x, Ei, c, i 1, n, obtaining the charging operation magnitude Ui of each new energy electric vehicle in the charging process, wherein z, x and c are weight coefficients, z is larger than c, and z + x + c is 4.5881;
step four: when the charging operation magnitude Ui of each new energy electric vehicle in the charging process is greater than or equal to a preset value u, generating a safe charging operation signal for the new energy electric vehicle corresponding to the Ui, otherwise, generating a primary environment discrimination signal for the new energy electric vehicle corresponding to the Ui;
the safety charging operation signal and the environment primary judging signal in the charging process are obtained and transmitted to the signal analysis module;
after receiving the real-time safe charging operation signal, the signal analysis module does not perform any processing; the signal analysis module is after receiving real-time environment one-level judgement signal, then transfer each new forms of energy electric automobile's that correspond the same period environment monitoring information from the information collection module, new forms of energy electric automobile's environment monitoring information comprises the biggest smog concentration of new forms of energy electric automobile's environment, new forms of energy electric automobile's average ambient temperature and new forms of energy electric automobile's the biggest ambient humidity to carry out environment monitoring analysis operation in view of the above, concrete step is as follows:
the method comprises the following steps: acquiring environment monitoring information of each new energy electric vehicle at the same time period corresponding to an environment primary discrimination signal in a charging process, and respectively calibrating the maximum environmental smoke concentration of each new energy electric vehicle, the average environmental temperature of each new energy electric vehicle and the maximum environmental humidity of each new energy electric vehicle as Pj, Aj and Sj, wherein j is 1.. m, Pj, Aj and Sj are in one-to-one correspondence with each other, a variable j corresponds to each new energy electric vehicle in the environment primary discrimination signal, and m represents a positive integer greater than 1;
step two: according to the formula
M, obtaining an environment magnitude Dj of each new energy electric vehicle in the same time period corresponding to the environment first-level judgment signal in the charging process, wherein p, a and s are environment factors, a is smaller than s and smaller than p, and a + s + p is 4.6628, rho, sigma and mu are environment correction coefficients, and rho is larger than sigma and larger than mu, and rho + sigma + mu is 3.5881;
step three: comparing the environmental magnitude Dj of each new energy electric vehicle in the same time period corresponding to the environmental primary discrimination signal in the charging process, and when the environmental magnitude Dj is greater than or equal to a preset value d, generating a charging fault prompt signal for the new energy electric vehicle corresponding to the Dj, otherwise, generating a use condition secondary discrimination signal for the new energy electric vehicle corresponding to the Dj;
the charging fault prompting signal and the use condition secondary identification signal in the same time period corresponding to the environment primary identification signal in the charging process are obtained, the use condition secondary identification signal is transmitted to the identification processing module through the controller, and the charging fault prompting signal is transmitted to the data interconnection module through the controller;
after receiving the real-time charging fault prompt signal, the data interconnection module sends the new energy electric vehicle corresponding to the data interconnection module to a user mobile phone, and the user mobile phone is communicated with the data interconnection module in a wireless transmission mode and the like;
the identification processing module is used for calling the use condition information of each new energy electric automobile in a first time level corresponding to the use condition information from the information collection module after receiving a real-time use condition secondary identification signal, the use condition information of the new energy electric automobile is composed of the total charging times of the new energy electric automobile, the average charging time of the new energy electric automobile and the interval days between two adjacent times of charging of the new energy electric automobile, and the use condition analysis operation is carried out on the new energy electric automobile according to the use condition information, and the identification processing module specifically comprises the following steps:
the method comprises the following steps: acquiring use condition information of each new energy electric vehicle in a first time level corresponding to the use condition secondary identification signal, and respectively marking the total charging times of each new energy electric vehicle, the average charging time of each new energy electric vehicle and the interval days between two adjacent times of charging of each new energy electric vehicle as Fb, Gb and Hb, wherein b is 1.. v, and Fb, Gb and Hb are in one-to-one correspondence with each other, the first time level represents the time length of one month before the use condition secondary identification signal is received in real time, a variable b corresponds to each new energy electric vehicle in the use condition secondary identification signal, and b represents a positive integer greater than 1;
step two: first according to the formula
b 1.. v, working condition magnitude Kb of each new energy electric vehicle in a first time level corresponding to the secondary identification signal of the use condition is obtained, f, g and h are all use factors, f is larger than g and larger than h, and f + g + h is 6.5218, lambda, gamma and alpha are all working condition correction factors, and lambda is smaller than gamma and smaller than alpha, and lambda + gamma + alpha is 2.8895; comparing the working condition magnitude Kb of each new energy electric vehicle in the first time level corresponding to the secondary identification signal of the use condition with a preset value k, and when the working condition magnitude Kb is greater than or equal to the preset value k, generating a charging working condition warning signal for the new energy electric vehicle corresponding to the Kb, otherwise, generating a recording signal for the new energy electric vehicle corresponding to the Kb;
the charging working condition warning signal and the recording signal in the first time level corresponding to the secondary identification signal of the use condition are obtained and are transmitted to the display recording module through the controller;
the information collection module is used for collecting environmental monitoring information and use condition information of the new energy electric vehicle in real time and storing the environmental monitoring information and the use condition information into an internal folder;
after receiving the real-time charging working condition warning signal, the display recording module sends the new energy electric vehicle corresponding to the display recording module to a display screen through a color mark; and after receiving the real-time recording signal, the display recording module records the new energy electric automobile corresponding to the display recording module, and when the total occurrence frequency of the new energy electric automobile is greater than a threshold value, the display recording module sends the new energy electric automobile to a display screen through a flashing mark.
During the working process, a data acquisition module acquires charging operation information of the new energy electric automobile in real time, wherein the charging operation information of the new energy electric automobile consists of the charging magnitude of the new energy electric automobile, the voltage level change of the new energy electric automobile and the temperature level change of the new energy electric automobile; the charging magnitude of the new energy electric automobile is composed of the residual electric quantity before charging, the stored electric quantity after charging and the charging time, the voltage variable level of the new energy electric automobile represents the average variable quantity of the actual charging voltage, the temperature variable level of the new energy electric automobile represents the average variable quantity of the actual charging temperature, and the average variable quantity is transmitted to the data analysis module;
after receiving real-time charging operation information of the new energy electric vehicle, the data analysis module carries out charging operation monitoring analysis operation on the new energy electric vehicle, namely, the charging magnitude of each new energy electric vehicle, the voltage variation level of each new energy electric vehicle and the temperature variation level of each new energy electric vehicle are subjected to primary calibration, the residual electric quantity before charging, the stored electric quantity after charging and the charging time corresponding to the charging magnitude Qi of each new energy electric vehicle are subjected to secondary calibration and subjected to formulated analysis, the whole is subjected to assignment analysis and data comparison, a safe charging operation signal and an environment first-level judgment signal in the charging process are obtained, and the safe charging operation signal and the environment first-level judgment signal are transmitted to the signal analysis module;
after receiving the real-time safe charging operation signal, the signal analysis module does not perform any processing; after receiving the real-time environment primary discrimination signal, the signal analysis module calls environment monitoring information of each new energy electric vehicle in the same time period corresponding to the environment primary discrimination signal from the information collection module, the environment monitoring information of the new energy electric vehicle consists of the environment maximum smoke concentration of the new energy electric vehicle, the average environment temperature of the new energy electric vehicle and the maximum environment humidity of the new energy electric vehicle, and performs environment monitoring analysis operation according to the environment maximum smoke concentration, the average environment temperature and the maximum environment humidity of the new energy electric vehicle, and the signal analysis module obtains a charging fault prompt signal and a use condition secondary discrimination signal in the same time period corresponding to the environment primary discrimination signal in the charging process through data calibration, primary correction processing and data comparison, and transmits the use condition secondary discrimination signal to the discrimination processing module through the controller, transmitting the charging fault prompt signal to the data interconnection module through the controller;
after receiving the real-time charging fault prompt signal, the data interconnection module sends the new energy electric vehicle corresponding to the data interconnection module to a user mobile phone, and the user mobile phone is communicated with the data interconnection module in a wireless transmission mode and the like;
after receiving the real-time secondary identification signal of the use condition, the identification processing module also calls the use condition information of each new energy electric vehicle in the corresponding first time level from the information collection module, the use condition information of the new energy electric vehicle consists of the total charging times of the new energy electric vehicle, the average charging time of the new energy electric vehicle and the interval days between two adjacent times of charging of the new energy electric vehicle, and carries out use condition analysis operation on the new energy electric vehicle according to the use condition information, namely the total charging times of each new energy electric vehicle, the average charging time of each new energy electric vehicle and the interval days between two adjacent times of charging of each new energy electric vehicle are subjected to data calibration, secondary correction processing and data comparison to obtain a charging condition warning signal and a recording signal in the first time level corresponding to the secondary identification signal of the use condition, and transmits it to the display recording module through the controller;
the information collection module is used for collecting environmental monitoring information and use condition information of the new energy electric vehicle in real time and storing the environmental monitoring information and the use condition information into an internal folder;
after receiving the real-time charging working condition warning signal, the display recording module sends the new energy electric vehicle corresponding to the display recording module to a display screen through a color mark; the display recording module records the new energy electric vehicle corresponding to the display recording module after receiving the real-time recording signal, when the total occurrence frequency of the new energy electric vehicle is larger than a threshold value, the new energy electric vehicle is sent to the display screen through a flicker mark, the charging operation condition of the new energy electric vehicle is subjected to internal refinement formula and assignment analysis, the obtained environment primary discrimination signal is combined with the environment condition to carry out primary discrimination processing, the obtained charging fault prompt signal is transmitted and displayed after the primary correction formula analysis, the obtained use condition secondary discrimination signal is associated with the use condition to carry out secondary discrimination processing, and after the secondary correction formula analysis, the aimed warning and recording are carried out according to the obtained hierarchical related signal to achieve the safety charging precaution, The dual intelligent optimization discriminates the effect, has promoted whole degree of accuracy and data reliability greatly.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. The intelligent charging control system of the new energy electric automobile is characterized by comprising a data acquisition module, a data analysis module, a signal analysis module, an information collection module, a controller, an identification processing module, a data interconnection module and a display recording module;
the data acquisition module is used for acquiring the charging operation information of the new energy electric automobile in real time and transmitting the charging operation information to the data analysis module;
after receiving the real-time charging operation information of the new energy electric vehicle, the data analysis module carries out charging operation monitoring analysis operation on the new energy electric vehicle to obtain a safe charging operation signal and an environment primary judgment signal in the charging process, and transmits the safe charging operation signal and the environment primary judgment signal to the signal analysis module;
after the signal analysis module receives the real-time safe charging operation signal, no processing is performed; after receiving the real-time environment primary discrimination signal, the signal analysis module calls environment monitoring information of each new energy electric vehicle in the same time period corresponding to the environment primary discrimination signal from the information collection module, performs environment monitoring analysis operation according to the environment monitoring information, obtains a charging fault prompt signal and a use condition secondary discrimination signal in the same time period corresponding to the environment primary discrimination signal in the charging process, transmits the use condition secondary discrimination signal to the discrimination processing module through the controller, and transmits the charging fault prompt signal to the data interconnection module through the controller;
after receiving a real-time charging fault prompt signal, the data interconnection module sends the charging fault prompt signal to a user mobile phone of the new energy electric vehicle corresponding to the charging fault prompt signal;
after receiving the real-time use condition secondary identification signal, the identification processing module also calls the use condition information of each new energy electric vehicle in the first time level corresponding to the use condition secondary identification signal from the information collection module, analyzes the use condition of each new energy electric vehicle according to the use condition information, obtains a charging condition warning signal and a recording signal in the first time level corresponding to the use condition secondary identification signal, and transmits the charging condition warning signal and the recording signal to the display recording module through the controller;
the information collection module is used for collecting environmental monitoring information and use condition information of the new energy electric vehicle in real time and storing the environmental monitoring information and the use condition information into an internal folder;
after receiving the real-time charging working condition warning signal, the display recording module sends the charging working condition warning signal to a display screen of the new energy electric automobile corresponding to the charging working condition warning signal, and the charging working condition warning signal is marked by colors; and after receiving the real-time recording signal, the display recording module records the new energy electric automobile corresponding to the display recording module, and when the total occurrence frequency of the new energy electric automobile is greater than a threshold value, the display recording module sends the new energy electric automobile to a display screen through a flashing mark.
2. The intelligent charging control system for the new energy electric vehicle according to claim 1, wherein the charging operation information of the new energy electric vehicle is composed of a charging magnitude of the new energy electric vehicle, a voltage level change of the new energy electric vehicle and a temperature level change of the new energy electric vehicle; the charging magnitude of the new energy electric automobile is composed of the residual electric quantity before charging, the stored electric quantity after charging and the charging time, the voltage variable level of the new energy electric automobile represents the average variation of the actual charging voltage, and the temperature variable level of the new energy electric automobile represents the average variation of the actual charging temperature.
3. The intelligent charging control system of the new energy electric vehicle as claimed in claim 1, wherein the specific steps of the charging operation monitoring and analyzing operation are as follows:
the method comprises the following steps: acquiring charging operation information of the new energy electric vehicle in a charging process, and respectively marking the charging magnitude of each new energy electric vehicle, the voltage variation level of each new energy electric vehicle and the temperature variation level of each new energy electric vehicle as Qi, Wi and Ei, wherein i is 1.
Step two: respectively marking the residual electric quantity before charging, the stored electric quantity after charging and the charging time corresponding to the charging magnitude Qi of each new energy electric vehicle as Ri, Ti and Yi, wherein i is 1.. n, and Ri, Ti and Yi are in one-to-one correspondence with each other; and according to the formula
The charging magnitude Qi of each new energy electric automobile in the charging process is obtained and is a charging factorGreater than and + 2.5817;
step three: when the charging magnitude Qi of each new energy electric vehicle is larger than the maximum value of the preset range q, is within the preset range q or is smaller than the minimum value of the preset range q, respectively giving a calibration positive value M1, M2 or M3 to the new energy electric vehicle, wherein M1 is larger than M2 and is larger than M3; when the voltage variation level Wi of each new energy electric automobile is larger than a preset value w or smaller than or equal to the preset value w, respectively giving the voltage variation level Wi a calibration positive value N1 or N2, wherein N1 is smaller than N2; when the temperature variation Ei of each new energy electric automobile is larger than a preset value e or is smaller than or equal to the preset value e, respectively giving the temperature variation Ei a calibration positive value B1 or B2, wherein B1 is smaller than B2; according to a formula Ui, namely Qi, z, Wi, x, Ei, c, i 1, n, obtaining the charging operation magnitude Ui of each new energy electric vehicle in the charging process, wherein z, x and c are weight coefficients, z is larger than c, and z + x + c is 4.5881;
step four: and when the charging operation magnitude Ui of each new energy electric vehicle in the charging process is greater than or equal to the preset value u, generating a safe charging operation signal corresponding to the new energy electric vehicle corresponding to U i, otherwise, generating an environment primary judgment signal corresponding to the new energy electric vehicle corresponding to Ui.
4. The intelligent charging control system for the new energy electric vehicle as claimed in claim 1, wherein the environment monitoring information of the new energy electric vehicle is composed of an environment maximum smoke concentration of the new energy electric vehicle, an average environment temperature of the new energy electric vehicle and a maximum environment humidity of the new energy electric vehicle, and the usage information of the new energy electric vehicle is composed of a total number of charges of the new energy electric vehicle, an average charging duration of the new energy electric vehicle and an interval number of days between two adjacent charges of the new energy electric vehicle.
5. The intelligent charging control system for the new energy electric vehicle as claimed in claim 1, wherein the environmental monitoring and analyzing operation comprises the following steps:
the method comprises the following steps: acquiring environment monitoring information of each new energy electric vehicle at the same time period corresponding to an environment primary distinguishing signal in a charging process, and respectively marking the maximum environmental smoke concentration of each new energy electric vehicle, the average environmental temperature of each new energy electric vehicle and the maximum environmental humidity of each new energy electric vehicle as Pj, Aj and Sj, wherein j is 1.. m, and Pj, Aj and Sj are in one-to-one correspondence with each other;
step two: according to the formula
Obtaining environment magnitude Dj of each new energy electric vehicle in the same time period corresponding to the environment first-level judgment signal in the charging process, wherein p, a and s are environment factors, a is smaller than s and smaller than p, and a + s + p is 4.6628, rho, sigma and mu are environment correction coefficients, rho is larger than sigma and larger than mu, and rho + sigma + mu is 3.5881;
step three: comparing the environmental magnitude Dj of each new energy electric vehicle in the same time period corresponding to the environmental primary discrimination signal in the charging process with a preset value d, and when the environmental magnitude Dj is greater than or equal to the preset value d, generating a charging fault prompt signal corresponding to the new energy electric vehicle corresponding to the Dj, otherwise, generating a use condition secondary discrimination signal corresponding to the new energy electric vehicle corresponding to the Dj.
6. The intelligent charging control system for the new energy electric vehicle according to claim 1, wherein the usage analysis operation comprises the following specific steps:
the method comprises the following steps: acquiring the use condition information of each new energy electric vehicle in a first time level corresponding to the use condition secondary identification signal, and respectively marking the total charging times of each new energy electric vehicle, the average charging time of each new energy electric vehicle and the interval days between two adjacent times of charging of each new energy electric vehicle as Fb, Gb and Hb, wherein b is 1.. v, and Fb, Gb and Hb are in one-to-one correspondence with each other, and the first time level represents the time duration of one month before the use condition secondary identification signal is received in real time;
step two: first according to the formula
Working condition magnitude Kb of each new energy electric vehicle in a first time level corresponding to the secondary identification signal of the use condition is obtained, f, g and h are all use factors, f is larger than g and larger than h, and f + g + h is 6.5218, lambda, gamma and alpha are all working condition correction factors, and lambda is smaller than gamma and smaller than alpha, and lambda + gamma + alpha is 2.8895; and comparing the working condition magnitude Kb of each new energy electric vehicle in the first time level corresponding to the secondary identification signal of the use condition with a preset value k, and generating a charging working condition warning signal corresponding to the new energy electric vehicle corresponding to the Kb when the working condition magnitude Kb is greater than or equal to the preset value k, otherwise generating a recording signal corresponding to the new energy electric vehicle corresponding to the Kb.
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