CN113313309A - Charging method and system for new energy automobile - Google Patents

Charging method and system for new energy automobile Download PDF

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Publication number
CN113313309A
CN113313309A CN202110603654.3A CN202110603654A CN113313309A CN 113313309 A CN113313309 A CN 113313309A CN 202110603654 A CN202110603654 A CN 202110603654A CN 113313309 A CN113313309 A CN 113313309A
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charging
vehicle
information
time
acquiring
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CN113313309B (en
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谷鹏
卢利平
王彪
陈东锋
曾显恒
尹冠飞
王悬悬
张朝杰
武照云
吴立辉
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Henan Polytechnic Institute
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • 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 provides a charging method and a charging system for a new energy automobile, which comprise the following steps: binding a user terminal and a vehicle, and acquiring information of the vehicle based on the user terminal; acquiring layout information of surrounding charging piles based on the information of the vehicle; acquiring the running state of the charging pile based on the layout information, and selecting a charging place; after the charging place is determined, selecting a charging mode based on the requirement of a user to charge; according to the specific running state of the vehicle, a proper charging place is selected, and according to the requirements of the user, a proper charging mode is selected, so that complete charging flow service is provided for the user, the time and charging cost of the user are saved, and the satisfaction degree of the user is improved.

Description

Charging method and system for new energy automobile
Technical Field
The invention relates to the field of new energy automobiles, in particular to a charging method and a charging system for a new energy automobile.
Background
The new energy automobile comprises four types of hybrid electric automobiles, pure electric automobiles, fuel cell electric automobiles, other new energy automobiles and the like. New energy automobiles are advocated to meet the needs of environmental protection and oil crisis, and the current mainstream automobile models of the traditional gasoline or diesel oil driven internal combustion engine are reduced or abandoned.
The function of the charging pile is similar to that of an oiling machine in a gas station, and the charging pile can be fixed on the ground or on the wall, is installed in parking lots of public buildings and residential districts or charging stations, and can charge electric vehicles of various models according to different voltage levels.
At present, charging pile all sets up at the fixed place, for this reason, when people need charge for new energy automobile, need find idle charging pile, when peak period, probably still need wait in line, give people and brought the inconvenience, secondly, the user probably can not reasonable selection charging mode, and causes charging time or the unsatisfied user's demand of cost of charging.
Therefore, the invention provides a charging method and a charging system for a new energy automobile.
Disclosure of Invention
The invention provides a charging method and a charging system for a new energy automobile, which select a proper charging place according to the specific running state of the automobile, select a proper charging mode according to the requirements of a user, provide complete charging flow service for the user, save the time and charging cost of the user and improve the satisfaction degree of the user.
The invention provides a charging method for a new energy automobile, which comprises the following steps:
step 1: binding a user terminal and a vehicle, and acquiring information of the vehicle based on the user terminal;
step 2: analyzing the information of the vehicle to acquire the running state of the vehicle;
and step 3: charging reminding is carried out based on the running state of the vehicle, and a charging place is selected;
and 4, step 4: after the charging place is determined, a charging mode is selected based on the requirement of a user, and charging is carried out.
In one possible way of realisation,
in step 1, binding the user terminal and the vehicle comprises:
acquiring the equipment identification code and the communication number of the user terminal and the vehicle identification code of the vehicle through a cloud server;
judging whether the user terminal exists in a user table of the cloud server or not based on the communication number of the user terminal,
if the user terminal exists in a user table of the cloud server, analyzing the vehicle identification code, acquiring a format of the vehicle identification code, judging whether the format is correct, if so, binding the equipment identification code and the vehicle identification code, sending a binding relation to the cloud server, and storing the binding relation into a database by the cloud server;
otherwise, based on the format of the equipment identification code, the vehicle identification code is bound after being subjected to format conversion;
if the user terminal does not exist in the user table of the cloud server, the equipment identification code and the communication number of the user terminal are registered, stored in the user table of the cloud server, and then the vehicle identification code is analyzed.
In one possible way of realisation,
in step 1, after the information of the vehicle is acquired based on the user terminal, the method further comprises the following steps:
based on the information of the vehicle, determining whether the vehicle needs to be charged includes:
extracting the current electric quantity information and the current speed information of the vehicle and the running state information in a preset time period from the information of the vehicle;
obtaining a current electric quantity value from the current electric quantity information, judging whether the electric quantity value is smaller than a first preset value or not,
if so, sending a first charging prompt to the user terminal;
otherwise, extracting a plurality of historical state sequences of the vehicle from the running state information in the preset time period;
intercepting the plurality of historical state sequences to obtain state sequences containing n moments, dividing the state sequences at the n moments according to a preset division scheme to obtain a plurality of target state sequences, and performing Gaussian fuzzification on the target state sequences to obtain fuzzy state sequences;
performing model training based on the fuzzy state sequence to obtain a state prediction model;
predicting future driving state information of the vehicle in a future period of time based on the state prediction model;
judging whether the future driving state information is in a non-running state or not;
if yes, not carrying out charging reminding;
otherwise, determining the running time and the running speed of the vehicle in a future period of time based on the future state information;
acquiring a power consumption value based on the running time and the running speed, and judging whether the power consumption value is smaller than the current power value;
if so, sending a second charging prompt to the user terminal;
otherwise, the charging reminding is not carried out.
In one possible way of realisation,
after predicting the future driving state information of the vehicle in a future period of time, the method further comprises the following steps:
obtaining an evaluation index of the state prediction model, wherein the evaluation index comprises stability and importance, and obtaining factors related to the evaluation index, wherein the stability corresponds to a dominant factor, and the importance is a frequency factor;
and calculating a credible value of the future driving state information according to the following formula based on the advantage factor and the frequency factor:
Figure BDA0003093680200000041
wherein Q represents a credible value of the future driving state information, tau represents interception precision for intercepting the plurality of historical state sequences, sigma represents division precision of the preset division scheme, and d1A dominance factor representing the state prediction model, d2Representing a frequency factor of the state prediction model, and delta representing a blur radius of the target state sequence subjected to Gaussian blur;
judging whether the credible value of the future driving state information is larger than a preset value or not;
if yes, the future driving state information can be used as a basis for calculating the power consumption;
otherwise, adjusting the interception precision, the division precision and the fuzzy radius to obtain a new fuzzy state sequence, training the model based on the new fuzzy state sequence to obtain a new state prediction model, and obtaining new future driving state information according to the new state prediction model until the credibility value of the new future driving state information is larger than the preset value.
In one possible way of realisation,
in step 2, based on the information of the vehicle, obtaining the layout information of the surrounding charging piles includes:
extracting the position information and the current electric quantity information about the vehicle from the information of the vehicle;
acquiring historical driving mileage of the vehicle and a preset weight coefficient, and determining weighted driving mileage of the vehicle;
obtaining the remaining driving mileage of the vehicle based on the current electric quantity information and the weighted driving mileage of the vehicle;
determining a search area based on the remaining driving mileage and the position information;
and acquiring layout information of the charging piles in the search area.
In one possible way of realisation,
based on the layout information, acquiring the running state of the charging pile, and selecting a charging place comprises the following steps:
acquiring position information and state data of the charging pile from the layout information;
performing feature extraction on the state data to obtain a feature value, and selecting a charging pile corresponding to the state data of which the feature value is within a first preset range as a first charging pile;
acquiring a historical operation data set of the first charging piles, and acquiring the use frequency and the latest use time of each first charging pile based on the time stamps of the historical operation data set;
determining the next use time of the first charging pile based on the use frequency and the latest use time;
obtaining a layout index of an environment layout, and obtaining a layout index matrix after carrying out standardization processing on the layout index;
analyzing a preset evaluation method to obtain an evaluation index rule, and obtaining an evaluation entropy based on the evaluation index rule;
processing each piece of layout index information in the layout index matrix based on the evaluation entropy to obtain evaluation index information corresponding to each piece of layout index information, and constructing an evaluation index matrix based on the evaluation index information;
acquiring the surrounding environment layout of the first charging pile based on the position information of the first charging pile, and extracting the layout information of the surrounding environment layout based on the layout index matrix;
analyzing and processing the layout information of the surrounding environment layout based on the evaluation index matrix to obtain a layout evaluation value of the surrounding environment layout;
based on the layout evaluation value, correcting the next use time of the first charging pile to obtain the corrected next use time;
determining an arrival time of the vehicle at the first charging pile based on the vehicle speed of the vehicle;
determining a driving path of the vehicle based on the position of the vehicle and the position of the first charging pile, and acquiring the traffic jam rate of the driving path in a preset time period;
correcting the time of arriving at the first charging pile based on the traffic jam rate to obtain corrected arrival time;
selecting a first charging pile corresponding to the arrival time after the correction processing which is longer than the next using time after the correction processing as a second charging pile;
and acquiring the historical score of the second charging pile, selecting the charging pile with the highest historical score as a target charging pile, and taking the position of the target charging pile as a charging place.
In one possible way of realisation,
obtaining the historical score of the second charging pile comprises:
acquiring evaluation data of the second charging pile;
inputting the evaluation data into a preset screening model for screening, and rejecting unreasonable evaluation data to obtain target evaluation data;
and extracting score data in the target evaluation data, and determining the historical score of the second charging pile based on the score data.
In one possible way of realisation,
in step 4, based on the requirement of the user, selecting a charging mode, wherein the charging comprises the following steps:
analyzing the requirements of the user, and determining the preset charging time and the preset charging cost of the user;
acquiring charging power corresponding to different charging modes of a charging pile;
acquiring a current electric quantity value of the vehicle;
judging whether the preset charging time is greater than a first preset time or not;
if so, selecting a normal charging mode to charge the vehicle;
otherwise, calculating the cost required for charging the vehicle from the current electric quantity to the full electric quantity by only using the quick charge mode according to the following formula on the basis of the current electric quantity value:
Figure BDA0003093680200000061
wherein M isrRepresenting the charge required to charge said vehicle from a current charge to full charge using only the fast charge mode, EfRepresenting the full electric quantity value of said vehicle, EsRepresenting the current electric quantity value, P, of the vehicle1Indicating the rated power, ε, of the fast charge mode1The charging efficiency of the quick charging mode is represented, and the value is (0.75, 0.95), M1Representing a charge required for one hour using the fast charge mode;
judging whether the cost required by using the quick charging mode is less than the preset charging cost or not;
if yes, selecting the quick charging mode to charge the vehicle;
otherwise, selecting a mode of combining a normal charging mode and a quick charging mode to charge the vehicle;
calculating a first time to use a fast charge mode based on the preset charge fee according to the following formula;
Figure BDA0003093680200000071
wherein, T1Indicating a first time, T, when a fast charge mode is used0Represents the preset charging time, TdIndicating waiting for charging time, MrRepresents the charge required for full use of the fast charge mode, M0Represents the preset charging charge, P1Rated power, P, representing the fast charge mode2Represents the rated power, epsilon, of the normal charging mode1Represents the charging efficiency of the quick charging mode, epsilon2Represents the charging efficiency of the normal charging mode, M1Represents the charge required for one hour using the fast charge mode, M2Represents the cost required for one hour of using the normal charging mode;
based on the first time using the fast charge mode, and calculating a second time T using the normal charge mode according to the following formula2：
T2＝T0-Td-T1
Generating a first charging scheme based on the first time and the second time, calculating a first charging cost, and judging whether the electric quantity of the vehicle can be fully charged based on the first charging scheme;
if yes, charging according to the first charging scheme;
otherwise, increasing the time of using the quick charging mode, reducing the time of using the normal charging mode, generating a second charging scheme, and calculating a second charging cost of the second charging scheme;
sending the first charging scheme and the first charging fee, and the second charging scheme and the second charging fee to a user terminal for selection by a user, and charging according to the charging scheme selected by the user;
the first charging cost is less than the preset charging cost, and the second charging cost is greater than the preset charging cost.
A charging system for a new energy automobile, comprising:
the system comprises a binding module, a vehicle information acquisition module and a display module, wherein the binding module is used for binding a user terminal and a vehicle and acquiring the information of the vehicle based on the user terminal;
the acquisition module is used for acquiring layout information of surrounding charging piles based on the information of the vehicle;
the first selection module is used for acquiring the running state of the charging pile based on the layout information and selecting a charging place;
and the second selection module is used for selecting a charging mode to charge based on the requirement of a user after the charging place is determined.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a charging method for a new energy vehicle according to an embodiment of the present invention;
fig. 2 is a structural diagram of a charging system for a new energy vehicle according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1
The embodiment of the invention provides a charging method for a new energy automobile, which comprises the following steps of:
step 1: binding a user terminal and a vehicle, and acquiring information of the vehicle based on the user terminal;
step 2: acquiring layout information of surrounding charging piles based on the information of the vehicle;
and step 3: acquiring the running state of the charging pile based on the layout information, and selecting a charging place;
and 4, step 4: after the charging place is determined, a charging mode is selected based on the requirement of a user, and charging is carried out.
The beneficial effect of above-mentioned design is: according to the charging method provided by the invention, a proper charging place is selected according to the specific running state of the vehicle, and a proper charging mode is selected according to the requirements of a user, so that a complete charging flow service is provided for the user, the time and charging cost of the user are saved, and the satisfaction degree of the user is improved.
Example 2
On the basis of embodiment 1, the embodiment of the invention provides a charging method for a new energy automobile, and in step 1, binding a user terminal and an automobile comprises the following steps:
acquiring the equipment identification code and the communication number of the user terminal and the vehicle identification code of the vehicle through a cloud server;
judging whether the user terminal exists in a user table of the cloud server or not based on the communication number of the user terminal,
if the user terminal exists in a user table of the cloud server, analyzing the vehicle identification code, acquiring a format of the vehicle identification code, judging whether the format is correct, if so, binding the equipment identification code and the vehicle identification code, sending a binding relation to the cloud server, and storing the binding relation into a database by the cloud server;
otherwise, based on the format of the equipment identification code, the vehicle identification code is bound after being subjected to format conversion;
if the user terminal does not exist in the user table of the cloud server, the equipment identification code and the communication number of the user terminal are registered, stored in the user table of the cloud server, and then the vehicle identification code is analyzed.
In this embodiment, when the format of the vehicle identification code is identical to the format of the device identification code, the format of the vehicle identification code is correct, and otherwise, the format of the vehicle identification code is incorrect.
The beneficial effect of above-mentioned design is: by binding the user terminal and the vehicle, the timely acquisition of the information of the vehicle is ensured, and a basis is provided for providing a proper charging method for the user.
Example 3
On the basis of embodiment 1, an embodiment of the present invention provides a charging method for a new energy vehicle, where in step 1, after obtaining information of the vehicle based on a user terminal, the method further includes:
based on the information of the vehicle, determining whether the vehicle needs to be charged includes:
extracting the current electric quantity information and the current speed information of the vehicle and the running state information in a preset time period from the information of the vehicle;
obtaining a current electric quantity value from the current electric quantity information, judging whether the electric quantity value is smaller than a first preset value or not,
if so, sending a first charging prompt to the user terminal;
otherwise, extracting a plurality of historical state sequences of the vehicle from the running state information in the preset time period;
intercepting the plurality of historical state sequences to obtain state sequences containing n moments, dividing the state sequences at the n moments according to a preset division scheme to obtain a plurality of target state sequences, and performing Gaussian fuzzification on the target state sequences to obtain fuzzy state sequences;
performing model training based on the fuzzy state sequence to obtain a state prediction model;
predicting future driving state information of the vehicle in a future period of time based on the state prediction model;
judging whether the future driving state information is in a non-running state or not;
if yes, not carrying out charging reminding;
otherwise, determining the running time and the running speed of the vehicle in a future period of time based on the future state information;
acquiring a power consumption value based on the running time and the running speed, and judging whether the power consumption value is smaller than the current power value;
if so, sending a second charging prompt to the user terminal;
otherwise, the charging reminding is not carried out.
In this embodiment, the preset partitioning scheme is a gridding partitioning scheme of the domain of interest.
The beneficial effect of above-mentioned design is: and based on the information of the vehicle, acquiring the running state information of the vehicle in a future period of time, providing a charging prompt for a user, and ensuring the normal running of the vehicle, thereby improving the satisfaction degree of the user.
Example 4
Based on embodiment 3, an embodiment of the present invention provides a charging method for a new energy vehicle, where after predicting future driving state information of the vehicle in a future period of time, the method further includes:
obtaining an evaluation index of the state prediction model, wherein the evaluation index comprises stability and importance, and obtaining factors related to the evaluation index, wherein the stability corresponds to a dominant factor, and the importance is a frequency factor;
and calculating a credible value of the future driving state information according to the following formula based on the advantage factor and the frequency factor:
Figure BDA0003093680200000111
wherein Q represents a credible value of the future traveling state information, τ represents an interception accuracy of intercepting the plurality of history state sequences, σ represents a division accuracy of the preset division scheme,d1a dominance factor representing the state prediction model, d2Representing a frequency factor of the state prediction model, and delta representing a blur radius of the target state sequence subjected to Gaussian blur;
judging whether the credible value of the future driving state information is larger than a preset value or not;
if yes, the future driving state information can be used as a basis for calculating the power consumption;
otherwise, adjusting the interception precision, the division precision and the fuzzy radius to obtain a new fuzzy state sequence, training the model based on the new fuzzy state sequence to obtain a new state prediction model, and obtaining new future driving state information according to the new state prediction model until the credibility value of the new future driving state information is larger than the preset value.
In this embodiment, the greater the dominance factor, the better the stability of the state prediction model; the larger the frequency factor is, the higher the importance of the state presetting model is represented.
In this embodiment, the smaller the blur radius of the gaussian blur, the smaller the blur degree, and the larger the blur radius, the larger the blur degree.
In this embodiment, the values of the interception precision, the division precision, the dominant factor, the frequency factor, and the blur radius are all (0, 1).
The beneficial effect of above-mentioned design is: the reliability of the future driving state information of the vehicle is calculated, so that the accuracy of power consumption prediction is improved, and the accuracy of charging reminding provided for a user is guaranteed.
Example 5
Based on embodiment 1, the embodiment of the invention provides a charging method and system for a new energy automobile, and in step 2, acquiring layout information of surrounding charging piles based on the information of the automobile comprises the following steps:
extracting the position information and the current electric quantity information about the vehicle from the information of the vehicle;
acquiring historical driving mileage of the vehicle and a preset weight coefficient, and determining weighted driving mileage of the vehicle;
obtaining the remaining driving mileage of the vehicle based on the current electric quantity information and the weighted driving mileage of the vehicle;
determining a search area based on the remaining driving mileage and the position information;
and acquiring layout information of the charging piles in the search area.
In this embodiment, the predetermined weighting factor is related to the historical mileage of the vehicle, and the greater the historical mileage, the greater the predetermined weighting factor.
The beneficial effect of above-mentioned design is: and determining the layout information of the charging piles in the search area according to the remaining driving mileage and the position information of the vehicle, providing effective layout information for a user, providing a basis for selecting a proper charging place, saving the time of the user and improving the satisfaction degree of the user.
Example 6
Based on the embodiment 1, the embodiment of the invention provides a charging method and a charging system for a new energy automobile, in step 3, based on the layout information, the operation state of a charging pile is obtained, and the selection of a charging place comprises the following steps:
acquiring position information and state data of the charging pile from the layout information;
performing feature extraction on the state data to obtain a feature value, and selecting a charging pile corresponding to the state data of which the feature value is within a first preset range as a first charging pile;
acquiring a historical operation data set of the first charging piles, and acquiring the use frequency and the latest use time of each first charging pile based on the time stamps of the historical operation data set;
determining the next use time of the first charging pile based on the use frequency and the latest use time;
obtaining a layout index of an environment layout, and obtaining a layout index matrix after carrying out standardization processing on the layout index;
analyzing a preset evaluation method to obtain an evaluation index rule, and obtaining an evaluation entropy based on the evaluation index rule;
processing each piece of layout index information in the layout index matrix based on the evaluation entropy to obtain evaluation index information corresponding to each piece of layout index information, and constructing an evaluation index matrix based on the evaluation index information;
acquiring the surrounding environment layout of the first charging pile based on the position information of the first charging pile, and extracting the layout information of the surrounding environment layout based on the layout index matrix;
analyzing and processing the layout information of the surrounding environment layout based on the evaluation index matrix to obtain a layout evaluation value of the surrounding environment layout;
based on the layout evaluation value, correcting the next use time of the first charging pile to obtain the corrected next use time;
determining an arrival time of the vehicle at the first charging pile based on the vehicle speed of the vehicle;
determining a driving path of the vehicle based on the position of the vehicle and the position of the first charging pile, and acquiring the traffic jam rate of the driving path in a preset time period;
correcting the time of arriving at the first charging pile based on the traffic jam rate to obtain corrected arrival time;
selecting a first charging pile corresponding to the arrival time after the correction processing which is longer than the next using time after the correction processing as a second charging pile;
and acquiring the historical score of the second charging pile, selecting the charging pile with the highest historical score as a target charging pile, and taking the position of the target charging pile as a charging place.
In this embodiment, the data of the characteristic value in the first preset range indicates that the charging pile is in an idle state, and otherwise, indicates that the charging pile is in a charging state.
In this embodiment, the layout index includes buildings, roads, sections, and the like around the environment.
In this embodiment, the evaluation index rule is that, for example, the evaluation weight occupied by the surrounding buildings is small, and the evaluation weight occupied by the road traffic rate is large.
In this embodiment, based on the evaluation index rule, the evaluation entropy may be, for example, 0.3 evaluation weight occupied for surrounding buildings and 0.8 evaluation weight occupied for roads.
In this embodiment, for example, the layout index information is a road, and the corresponding evaluation index information is a road traffic rate; the layout index information is surrounding buildings, and the corresponding evaluation index information is surrounding building density; the layout index information is the plot, and the corresponding evaluation index information is the plot prosperity.
In this embodiment, the evaluation index matrix is, for example: the higher the road traffic rate, the larger the layout evaluation value, the smaller the surrounding building density, the larger the layout evaluation value, and the like.
In this embodiment, the larger the layout evaluation value is, the larger the corresponding correction value is.
The beneficial effect of above-mentioned design is: the state, the use frequency and the historical score of the charging pile are considered, a proper charging place is selected, the charging waiting time of a user is reduced, and the satisfaction degree of the user is provided.
Example 7
Based on embodiment 6, the invention provides a charging method for a new energy automobile, and the acquiring of the historical score of the second charging pile comprises the following steps:
acquiring evaluation data of the second charging pile;
inputting the evaluation data into a preset screening model for screening, and rejecting unreasonable evaluation data to obtain target evaluation data;
and extracting score data in the target evaluation data, and determining the historical score of the second charging pile based on the score data.
The beneficial effect of above-mentioned design is: by eliminating unreasonable evaluation data, the accuracy of obtaining the historical scores is improved.
Example 8
Based on embodiment 1, an embodiment of the present invention provides a charging method and system for a new energy vehicle, in step 4, based on a user's requirement, selecting a charging mode, and charging includes:
analyzing the requirements of the user, and determining the preset charging time and the preset charging cost of the user;
acquiring charging power corresponding to different charging modes of a charging pile;
acquiring a current electric quantity value of the vehicle;
judging whether the preset charging time is greater than a first preset time or not;
if so, selecting a normal charging mode to charge the vehicle;
otherwise, calculating the cost required for charging the vehicle from the current electric quantity to the full electric quantity by only using the quick charge mode according to the following formula on the basis of the current electric quantity value:
Figure BDA0003093680200000151
wherein M isrRepresenting the charge required to charge said vehicle from a current charge to full charge using only the fast charge mode, EsRepresenting the current electric quantity value, P, of the vehicle1Indicating the rated power, ε, of the fast charge mode1The charging efficiency of the quick charging mode is represented, and the value is (0.75, 0.95), M1Representing a charge required for one hour using the fast charge mode;
judging whether the cost required by using the quick charging mode is less than the preset charging cost or not;
if yes, selecting the quick charging mode to charge the vehicle;
otherwise, selecting a mode of combining a normal charging mode and a quick charging mode to charge the vehicle;
calculating a first time to use a fast charge mode based on the preset charge fee according to the following formula;
Figure BDA0003093680200000161
wherein, T1Indicating a first time, T, when a fast charge mode is used0Represents the preset charging time, TdIndicating waiting for charging time, MrRepresents the charge required for full use of the fast charge mode, M0Represents the preset charging charge, P1Rated power, P, representing the fast charge mode2Represents the rated power, epsilon, of the normal charging mode1Represents the charging efficiency of the quick charging mode, epsilon2Represents the charging efficiency of the normal charging mode, M1Represents the charge required for one hour using the quick charge mode, and M2 represents the charge required for one hour using the normal charge mode;
based on the first time using the fast charge mode, and calculating a second time T using the normal charge mode according to the following formula2：
T2＝T0-Td-T1
Generating a first charging scheme based on the first time and the second time, calculating a first charging cost, and judging whether the electric quantity of the vehicle can be fully charged based on the first charging scheme;
if yes, charging according to the first charging scheme;
otherwise, increasing the time of using the quick charging mode, reducing the time of using the normal charging mode, generating a second charging scheme, and calculating a second charging cost of the second charging scheme;
sending the first charging scheme and the first charging fee, and the second charging scheme and the second charging fee to a user terminal for selection by a user, and charging according to the charging scheme selected by the user;
the first charging cost is less than the preset charging cost, and the second charging cost is greater than the preset charging cost.
In this embodiment, the higher the charge required only for the fast charge mode, the smaller the ratio of the preset charge to the charge required only for the fast charge mode, and the shorter the time for setting the use of the fast charge, the charging charge can be guaranteed not to exceed the preset charge.
In this embodiment, the first charging scheme meets the charging time and charging cost requirements of the user, but is not able to fully charge.
In this embodiment, the second charging scheme meets the charging time requirement of the user, can fully charge the battery, but does not meet the charging cost requirement.
The beneficial effect of above-mentioned design is: through the requirements of the user, a proper charging mode is provided for the user, the time and charging cost of the user are saved, and the satisfaction degree of the user is improved.
Example 9
An embodiment of the present invention provides a charging system for a new energy vehicle, as shown in fig. 2, including:
the system comprises a binding module, a vehicle information acquisition module and a display module, wherein the binding module is used for binding a user terminal and a vehicle and acquiring the information of the vehicle based on the user terminal;
the acquisition module is used for acquiring layout information of surrounding charging piles based on the information of the vehicle;
the first selection module is used for acquiring the running state of the charging pile based on the layout information and selecting a charging place;
and the second selection module is used for selecting a charging mode to charge based on the requirement of a user after the charging place is determined.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. A charging method for a new energy automobile is characterized by comprising the following steps:
step 1: binding a user terminal and a vehicle, and acquiring information of the vehicle based on the user terminal;
step 2: acquiring layout information of surrounding charging piles based on the information of the vehicle;
and step 3: acquiring the running state of the charging pile based on the layout information, and selecting a charging place;
and 4, step 4: after the charging place is determined, a charging mode is selected based on the requirement of a user, and charging is carried out.
2. The charging method for the new energy automobile according to claim 1, wherein the step 1 of binding the user terminal and the vehicle comprises:
acquiring the equipment identification code and the communication number of the user terminal and the vehicle identification code of the vehicle through a cloud server;
judging whether the user terminal exists in a user table of the cloud server or not based on the communication number of the user terminal,
if the user terminal exists in a user table of the cloud server, analyzing the vehicle identification code, acquiring a format of the vehicle identification code, judging whether the format is correct, if so, binding the equipment identification code and the vehicle identification code, sending a binding relation to the cloud server, and storing the binding relation into a database by the cloud server;
otherwise, based on the format of the equipment identification code, the vehicle identification code is bound after being subjected to format conversion;
if the user terminal does not exist in the user table of the cloud server, the equipment identification code and the communication number of the user terminal are registered, stored in the user table of the cloud server, and then the vehicle identification code is analyzed.
3. The charging method for the new energy automobile according to claim 1, wherein in step 1, after the information of the vehicle is obtained based on the user terminal, the method further comprises:
based on the information of the vehicle, determining whether the vehicle needs to be charged includes:
extracting current electric quantity information and current speed information of the vehicle and running state information in a preset time period from the information of the vehicle;
obtaining a current electric quantity value from the current electric quantity information, judging whether the electric quantity value is smaller than a first preset value or not,
if so, sending a first charging prompt to the user terminal;
otherwise, extracting a plurality of historical state sequences of the vehicle from the running state information in the preset time period;
intercepting the plurality of historical state sequences to obtain state sequences containing n moments, dividing the state sequences at the n moments according to a preset division scheme to obtain a plurality of target state sequences, and performing Gaussian fuzzification on the target state sequences to obtain fuzzy state sequences;
performing model training based on the fuzzy state sequence to obtain a state prediction model;
predicting future driving state information of the vehicle in a future period of time based on the state prediction model;
judging whether the future driving state information is in a non-running state or not;
if yes, not carrying out charging reminding;
otherwise, determining the running time and the running speed of the vehicle in a future period of time based on the future state information;
acquiring a power consumption value based on the running time and the running speed, and judging whether the power consumption value is smaller than the current power value;
if so, sending a second charging prompt to the user terminal;
otherwise, the charging reminding is not carried out.
4. The charging method for the new energy automobile according to claim 3, wherein after predicting the future driving state information of the vehicle in a future period of time, the method further comprises:
obtaining an evaluation index of the state prediction model, wherein the evaluation index comprises stability and importance, and obtaining factors related to the evaluation index, wherein the stability corresponds to a dominant factor, and the importance is a frequency factor;
and calculating a credible value of the future driving state information according to the following formula based on the advantage factor and the frequency factor:
Figure FDA0003093680190000031
wherein Q represents a credible value of the future driving state information, tau represents interception precision for intercepting the plurality of historical state sequences, sigma represents division precision of the preset division scheme, and d1A dominance factor representing the state prediction model, d2Representing a frequency factor of the state prediction model, and delta representing a blur radius of the target state sequence subjected to Gaussian blur;
judging whether the credible value of the future driving state information is larger than a preset value or not;
if yes, the future driving state information can be used as a basis for calculating the power consumption;
otherwise, adjusting the interception precision, the division precision and the fuzzy radius to obtain a new fuzzy state sequence, training the model based on the new fuzzy state sequence to obtain a new state prediction model, and obtaining new future driving state information according to the new state prediction model until the credibility value of the new future driving state information is larger than the preset value.
5. The charging method and system for the new energy automobile according to claim 1, wherein in step 2, obtaining layout information of surrounding charging piles based on the information of the vehicle comprises:
extracting the position information and the current electric quantity information about the vehicle from the information of the vehicle;
acquiring historical driving mileage of the vehicle and a preset weight coefficient, and determining weighted driving mileage of the vehicle;
obtaining the remaining driving mileage of the vehicle based on the current electric quantity information and the weighted driving mileage of the vehicle;
determining a search area based on the remaining driving mileage and the position information;
and acquiring layout information of the charging piles in the search area.
6. The charging method for the new energy automobile according to claim 1, wherein in step 3, the operation state of the charging pile is acquired based on the layout information, and the selecting the charging place comprises:
acquiring position information and state data of the charging pile from the layout information;
performing feature extraction on the state data to obtain a feature value, and selecting a charging pile corresponding to the state data of which the feature value is within a first preset range as a first charging pile;
acquiring a historical operation data set of the first charging piles, and acquiring the use frequency and the latest use time of each first charging pile based on the time stamps of the historical operation data set;
determining the next use time of the first charging pile based on the use frequency and the latest use time;
obtaining a layout index of an environment layout, and obtaining a layout index matrix after carrying out standardization processing on the layout index;
analyzing a preset evaluation method to obtain an evaluation index rule, and obtaining an evaluation entropy based on the evaluation index rule;
processing each piece of layout index information in the layout index matrix based on the evaluation entropy to obtain evaluation index information corresponding to each piece of layout index information, and constructing an evaluation index matrix based on the evaluation index information;
acquiring the surrounding environment layout of the first charging pile based on the position information of the first charging pile, and extracting the layout information of the surrounding environment layout based on the layout index matrix;
analyzing and processing the layout information of the surrounding environment layout based on the evaluation index matrix to obtain a layout evaluation value of the surrounding environment layout;
based on the layout evaluation value, correcting the next use time of the first charging pile to obtain the corrected next use time;
determining an arrival time of the vehicle at the first charging pile based on the vehicle speed of the vehicle;
determining a driving path of the vehicle based on the position of the vehicle and the position of the first charging pile, and acquiring the traffic jam rate of the driving path in a preset time period;
correcting the time of arriving at the first charging pile based on the traffic jam rate to obtain corrected arrival time;
selecting a first charging pile corresponding to the arrival time after the correction processing which is longer than the next using time after the correction processing as a second charging pile;
and acquiring the historical score of the second charging pile, selecting the charging pile with the highest historical score as a target charging pile, and taking the position of the target charging pile as a charging place.
7. The charging method for the new energy automobile according to claim 6, wherein the obtaining of the historical score of the second charging pile comprises:
acquiring evaluation data of the second charging pile;
inputting the evaluation data into a preset screening model for screening, and rejecting unreasonable evaluation data to obtain target evaluation data;
and extracting score data in the target evaluation data, and determining the historical score of the second charging pile based on the score data.
8. The charging method and system for the new energy automobile according to claim 1, wherein in step 4, based on the requirement of the user, a charging mode is selected, and the charging comprises:
analyzing the requirements of the user, and determining the preset charging time and the preset charging cost of the user;
acquiring charging power corresponding to different charging modes of a charging pile;
acquiring a current electric quantity value of the vehicle;
judging whether the preset charging time is greater than a first preset time or not;
if so, selecting a normal charging mode to charge the vehicle;
otherwise, calculating the cost required for charging the vehicle from the current electric quantity to the full electric quantity by only using the quick charge mode according to the following formula on the basis of the current electric quantity value:
Figure FDA0003093680190000051
wherein M isrRepresenting the charge required to charge said vehicle from a current charge to full charge using only the fast charge mode, EfRepresenting the full electric quantity value of said vehicle, EsRepresenting the current electric quantity value, P, of the vehicle1Indicating the rated power, ε, of the fast charge mode1The charging efficiency of the quick charging mode is represented, and the value is (0.75, 0.95), M1Representing a charge required for one hour using the fast charge mode;
judging whether the cost required by using the quick charging mode is less than the preset charging cost or not;
if yes, selecting the quick charging mode to charge the vehicle;
otherwise, selecting a mode of combining a normal charging mode and a quick charging mode to charge the vehicle, and calculating the first time of using the quick charging mode according to the following formula based on the preset charging cost;
Figure FDA0003093680190000061
wherein, T1Indicating a first time, T, when a fast charge mode is used0Represents the preset charging time, TdIndicating waiting for charging time, MrRepresents the charge required for full use of the fast charge mode, M0Represents the preset charging charge, P1Rated power, P, representing the fast charge mode2Represents the rated power, epsilon, of the normal charging mode1Represents the charging efficiency of the quick charging mode, epsilon2Represents the charging efficiency of the normal charging mode, M1Represents the charge required for one hour using the fast charge mode, M2Represents the cost required for one hour of using the normal charging mode;
based on the first time using the fast charge mode, and calculating a second time T using the normal charge mode according to the following formula2：
T2＝T0-Td-T1
Generating a first charging schedule based on the first time and the second time, and calculating a first charging fee,
determining whether the vehicle can be fully charged based on the first charging profile;
if yes, charging according to the first charging scheme;
otherwise, increasing the time of using the quick charging mode, reducing the time of using the normal charging mode, generating a second charging scheme, and calculating a second charging cost of the second charging scheme;
sending the first charging scheme and the first charging fee, and the second charging scheme and the second charging fee to a user terminal for selection by a user, and charging according to the charging scheme selected by the user;
the first charging cost is less than the preset charging cost, and the second charging cost is greater than the preset charging cost.
9. A charging system for a new energy automobile, comprising:
the system comprises a binding module, a vehicle information acquisition module and a display module, wherein the binding module is used for binding a user terminal and a vehicle and acquiring the information of the vehicle based on the user terminal;
the acquisition module is used for acquiring layout information of surrounding charging piles based on the information of the vehicle;
the first selection module is used for acquiring the running state of the charging pile based on the layout information and selecting a charging place;
and the second selection module is used for selecting a charging mode to charge based on the requirement of a user after the charging place is determined.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114919456A (en) * 2022-07-14 2022-08-19 深圳市今朝时代股份有限公司 Big data-based automobile battery charging and discharging management system
CN115438909A (en) * 2022-08-03 2022-12-06 广东天枢新能源科技有限公司 Electric vehicle charging pile power resource distribution method and system based on big data
CN116945969A (en) * 2023-07-19 2023-10-27 隆瑞三优新能源汽车科技有限公司 New energy bus charging monitoring method, device, equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104240076A (en) * 2014-08-28 2014-12-24 徐州市恒源电器有限公司 Electric car charging method based on mobile phone functions
CN109377309A (en) * 2018-09-28 2019-02-22 江苏大学 A kind of real-time management system and its application method based on shared automobile course continuation mileage
US20190111926A1 (en) * 2016-04-27 2019-04-18 Nio Nextev Limited Adaptive driving behavior adjusting method for electric vehicle
CN110081900A (en) * 2019-03-27 2019-08-02 苏州市黑甲智能科技有限公司 A kind of charging pile intelligent recommendation method, apparatus, service terminal and storage medium
CN111415021A (en) * 2020-04-02 2020-07-14 福建工程学院 Charging pile optimal position recommendation management system and method based on intelligent vehicle-mounted terminal
CN111532166A (en) * 2020-04-30 2020-08-14 重庆长安新能源汽车科技有限公司 Electric vehicle charging path planning method and device, vehicle and computer storage medium
CN111666715A (en) * 2020-06-05 2020-09-15 北京理工大学 Electric automobile energy consumption prediction method and system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104240076A (en) * 2014-08-28 2014-12-24 徐州市恒源电器有限公司 Electric car charging method based on mobile phone functions
US20190111926A1 (en) * 2016-04-27 2019-04-18 Nio Nextev Limited Adaptive driving behavior adjusting method for electric vehicle
CN109377309A (en) * 2018-09-28 2019-02-22 江苏大学 A kind of real-time management system and its application method based on shared automobile course continuation mileage
CN110081900A (en) * 2019-03-27 2019-08-02 苏州市黑甲智能科技有限公司 A kind of charging pile intelligent recommendation method, apparatus, service terminal and storage medium
CN111415021A (en) * 2020-04-02 2020-07-14 福建工程学院 Charging pile optimal position recommendation management system and method based on intelligent vehicle-mounted terminal
CN111532166A (en) * 2020-04-30 2020-08-14 重庆长安新能源汽车科技有限公司 Electric vehicle charging path planning method and device, vehicle and computer storage medium
CN111666715A (en) * 2020-06-05 2020-09-15 北京理工大学 Electric automobile energy consumption prediction method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JUAN LIU: "Research and Implementation of Electric Vehicle Fast Charging Station Parking Guidance System Based on Mobile Terminal", 《2017 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC)》 *
要凯华等: "考虑路网结构的电动汽车充电站规划研究", 《电子测量技术》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114919456A (en) * 2022-07-14 2022-08-19 深圳市今朝时代股份有限公司 Big data-based automobile battery charging and discharging management system
CN115438909A (en) * 2022-08-03 2022-12-06 广东天枢新能源科技有限公司 Electric vehicle charging pile power resource distribution method and system based on big data
CN115438909B (en) * 2022-08-03 2023-04-25 广东天枢新能源科技有限公司 Big data-based electric vehicle charging pile power resource distribution method and system
CN116945969A (en) * 2023-07-19 2023-10-27 隆瑞三优新能源汽车科技有限公司 New energy bus charging monitoring method, device, equipment and storage medium
CN116945969B (en) * 2023-07-19 2024-02-09 隆瑞三优新能源汽车科技有限公司 New energy bus charging monitoring method, device, equipment and storage medium

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