CN106997504A - Vehicle energy recruitment behavior analysis method and analysis system - Google Patents

Vehicle energy recruitment behavior analysis method and analysis system Download PDF

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Publication number
CN106997504A
CN106997504A CN201610940345.4A CN201610940345A CN106997504A CN 106997504 A CN106997504 A CN 106997504A CN 201610940345 A CN201610940345 A CN 201610940345A CN 106997504 A CN106997504 A CN 106997504A
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energy
additional sample
sample
energy additional
current
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CN106997504B (en
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金崇奎
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NIO Holding Co Ltd
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NIO Nextev Ltd
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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
    • G06Q10/06315—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
    • G06Q10/0631—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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The present invention relates to a kind of vehicle energy recruitment behavior analysis method and analysis system.Wherein, this method can include：Each energy additional sample of terminal is obtained, wherein, energy additional sample includes energy state, energy prolongation, energy supplement place and the energy supplemental services time when energy is supplemented；Set up the Chebyshev inequality model of energy additional sample；It is determined that meeting the current energy additional sample of Chebyshev inequality model.The present invention combines the energy resources distribution of the current energy state of terminal and terminal, peripheral, to determine current energy additional sample.Solved by the present invention and how by the energy to supplement the analysis of historical data to optimize the technical problem of energy replenishment strategy, realize the personalized designs of lifting energy replenishment strategy, lifting generation visitor carries out the service effect of vehicle energy supplement.

Description

Vehicle energy recruitment behavior analysis method and analysis system
Technical field
The present invention relates to vehicle energy complementary technology field, more particularly, to a kind of vehicle energy recruitment behavior analysis method And analysis system.
Background technology
At present, traditional vehicle energy supplement is all that user determines according to the remaining energy state and mileage of Current vehicle Whether energy supplement is carried out.However, the periphery of user may be without available energy supplemental resources, this is many existing car owners Mileage anxiety problem.
More convenient vehicle energy is realized when the mode that the new generation visitor of former carries out vehicle energy supplement is realized Supplement, in order to realize more effectively generation visitor carry out vehicle energy supplement service, it is necessary to be equipped with perfect energy supplementary network Attendant's distribution of vehicle energy supplement is carried out with generation visitor.However, lacking the area of effective energy covering for some peripheries Domain, greatly challenge, and take that the time of attendant is longer is caused to service duration, influences overall efficiency of operation.
Above-mentioned present situation is particularly evident in automobile power-up field, because the automobile power-up operations of many users are all daytimes in public affairs Department is carried out, and complete power-up operations in the evening in cell, and this just makes attendant very big in the operating pressure at night, particularly with some In the case that cell periphery lacks effective power-up resource covering, the service time of attendant is more elongated, reduction service Efficiency.
Based on above-mentioned present situation, through analysis, vehicle energy recruitment behavior is effectively analyzed, it is possible to achieve the vehicle energy of optimization Replenishment strategy, is more conducive to the efficiency of service that lifting generation visitor carries out vehicle energy supplement, in view of this, spy proposes the present invention.
The content of the invention
In order to solve the above-mentioned technical problem, that is, the problem of solving how to optimize vehicle energy replenishment strategy, the present invention is provided A kind of vehicle energy recruitment behavior analysis method, the analysis of historical data is supplemented by the energy, energy replenishment strategy is realized Optimization.In addition, also providing a kind of vehicle energy recruitment behavior analysis system.
To achieve these goals, there is provided following technical scheme according to an aspect of the present invention：
A kind of vehicle energy recruitment behavior analysis method, methods described includes：
Each energy additional sample of terminal is obtained, wherein, the energy additional sample includes the energy shape when energy is supplemented State, energy prolongation, energy supplement place and energy supplemental services time；
Set up the Chebyshev inequality model of the energy additional sample；
It is determined that meeting the current energy additional sample of the Chebyshev inequality model.
Further, the Chebyshev inequality model for setting up the energy additional sample is specifically included：
The desired value of the energy additional sample is determined according to below equation：
Wherein, the E (x) represents the desired value of the energy additional sample；The i represents sampling number；The n takes just Integer；The XiRepresent energy additional sample collection；
The variance of the energy additional sample is determined according to below equation：
Wherein, the D (x) represents the variance of the energy additional sample；
The variance of desired value and the energy additional sample based on the energy additional sample, sets up the first Chebyshev Inequality model：
Wherein, the d represents default arbitrary constant,d≠0。
Further, methods described further comprises：
The first Chebyshev inequality model is handled, the second Chebyshev inequality model is obtained：
Further, the current energy additional sample for determining to meet the Chebyshev inequality model is further wrapped Include：
D values are updated, until causing the current energy additional sample value to fall into default desired range of values；
The current energy additional sample that the sample value is fallen into the default desired range of values, is defined as meeting The current energy additional sample of the Chebyshev inequality model.
Further, methods described also includes：
Based on the identified current energy additional sample, energy supplement prompting message is sent to the terminal.
Further, the current energy additional sample based on determined by, energy supplement is sent to the terminal Prompting message, is specifically included：
Based on the identified current energy additional sample, the current energy supplemental services time was sent to the end End.
To achieve these goals, according to another aspect of the present invention, a kind of vehicle energy recruitment behavior point is also provided Analysis system, the system includes：
Acquisition module, for obtaining each energy additional sample of terminal, wherein, the energy additional sample is mended including the energy Energy state, energy prolongation, energy supplement place and the energy supplemental services time when filling；
Module is set up, is connected with the acquisition module, the Chebyshev inequality for setting up the energy additional sample Model；
Determining module, is connected with the module of setting up, for determining to meet the current of the Chebyshev inequality model Energy additional sample.
Further, the module of setting up is specifically included：
First determining unit, the desired value for determining the energy additional sample according to below equation：
Wherein, the E (x) represents the desired value of the energy additional sample；The i represents sampling number；The n takes just Integer；The XiRepresent energy additional sample collection；
Second determining unit, is connected with first determining unit, for determining that the energy is supplemented according to below equation The variance of sample：
Wherein, the D (x) represents the variance of the energy additional sample；
Unit is set up, is connected respectively with first determining unit and second determining unit, for based on the energy The variance of the desired value of source additional sample and the energy additional sample, sets up the first Chebyshev inequality model：
Wherein, the d represents default arbitrary constant,d≠0。
Further, the system further comprises：
Processing module, for handling the first Chebyshev inequality model, obtains the second Chebyshev not Equation models：
Further, the determining module further comprises：
Updating block, for updating d values, until causing the current energy additional sample value to fall into default desired range of values It is interior；
3rd determining unit, the current energy for the sample value to be fallen into the default desired range of values is mended Sample is filled, is defined as meeting the current energy additional sample of the Chebyshev inequality model.
Further, the system also includes：
Prompting module, is connected with the determining module, for based on the identified current energy additional sample, to institute State terminal and send energy supplement prompting message.
Further, the prompting module is specifically included：
Transmitting element, for based on the identified current energy additional sample, by the current energy supplemental services time Send to the terminal.
The present invention is supplied to a kind of vehicle energy recruitment behavior analysis method and analysis system.Wherein, this method can be wrapped Include：Each energy additional sample of terminal is obtained, wherein, energy additional sample includes energy state, the energy benefit when energy is supplemented Fill time, energy supplement place and energy supplemental services time；Set up the Chebyshev inequality model of energy additional sample；Really Surely the current energy additional sample of Chebyshev inequality model is met.The present invention combines the current energy state and terminal of terminal The energy resources distribution on periphery, to determine current energy additional sample.Solve and how to pass through by using above-mentioned technical proposal The analysis of energy supplement historical data realizes for lifting energy replenishment strategy to optimize the technical problem of energy replenishment strategy Propertyization is designed, and lifting generation visitor carries out the efficiency of service of energy supplement.
Scheme 1, a kind of vehicle energy recruitment behavior analysis method, it is characterised in that methods described includes：
Each energy additional sample of terminal is obtained, wherein, energy state, energy when the energy additional sample is supplemented including the energy Source prolongation, energy supplement place and energy supplemental services time；
Set up the Chebyshev inequality model of the energy additional sample；
It is determined that meeting the current energy additional sample of the Chebyshev inequality model.
Scheme 2, the method according to scheme 1, it is characterised in that the Chebyshev for setting up the energy additional sample is not Equation models are specifically included：
The desired value of the energy additional sample is determined according to below equation：
Wherein, the E (x) represents the desired value of the energy additional sample；The i represents sampling number；The n takes just whole Number；The XiRepresent energy additional sample collection；
The variance of the energy additional sample is determined according to below equation：
Wherein, the D (x) represents the variance of the energy additional sample；
The variance of desired value and the energy additional sample based on the energy additional sample, sets up the first Chebyshev Formula model：
Wherein, the d represents default arbitrary constant,d≠0。
Scheme 3, the method according to scheme 2, it is characterised in that methods described further comprises：
The first Chebyshev inequality model is handled, the second Chebyshev inequality model is obtained：
Scheme 4, the method according to scheme 2 or 3, it is characterised in that the determination meets the Chebyshev inequality mould The current energy additional sample of type further comprises：
D values are updated, until causing the current energy additional sample value to fall into default desired range of values；
The current energy additional sample that the sample value is fallen into the default desired range of values, is defined as meeting described The current energy additional sample of Chebyshev inequality model.
Scheme 5, the method according to any one of scheme 1~3, it is characterised in that methods described also includes：
Based on the identified current energy additional sample, energy supplement prompting message is sent to the terminal.
Scheme 6, the method according to scheme 5, it is characterised in that the current energy supplement sample described based on determined by This, sends energy supplement prompting message to the terminal, specifically includes：
Based on the identified current energy additional sample, the current energy supplemental services time is sent to the terminal.
Scheme 7, a kind of vehicle energy recruitment behavior analysis system, it is characterised in that the system includes：
Acquisition module, for obtaining each energy additional sample of terminal, wherein, when the energy additional sample includes energy supplement Energy state, the energy prolongation, energy supplement place and energy supplemental services time；
Module is set up, is connected with the acquisition module, the Chebyshev inequality model for setting up the energy additional sample；
Determining module, is connected with the module of setting up, and the current energy of the Chebyshev inequality model is met for determination Additional sample.
Scheme 8, the system according to scheme 7, it is characterised in that the module of setting up is specifically included：
First determining unit, the desired value for determining the energy additional sample according to below equation：
Wherein, the E (x) represents the desired value of the energy additional sample；The i represents sampling number；The n takes just whole Number；The XiRepresent energy additional sample collection；
Second determining unit, is connected with first determining unit, for determining the energy additional sample according to below equation Variance：
Wherein, the D (x) represents the variance of the energy additional sample；
Unit is set up, is connected respectively with first determining unit and second determining unit, for being mended based on the energy The desired value of sample and the variance of the energy additional sample are filled, the first Chebyshev inequality model is set up：
Wherein, the d represents default arbitrary constant,d≠0。
Scheme 9, the system according to scheme 7, it is characterised in that the system further comprises：
Processing module, for handling the first Chebyshev inequality model, obtains the second Chebyshev inequality Model：
Scheme 10, the system according to scheme 8 or 9, it is characterised in that the determining module further comprises：
Updating block, for updating d values, until causing the current energy additional sample value to fall into default desired range of values；
3rd determining unit, the current energy for the sample value to be fallen into the default desired range of values supplements sample This, is defined as meeting the current energy additional sample of the Chebyshev inequality model.
Scheme 11, the system according to any one of scheme 7~9, it is characterised in that the system also includes：
Prompting module, is connected with the determining module, for based on the identified current energy additional sample, to the end End sends energy supplement prompting message.
Scheme 12, the system according to scheme 11, it is characterised in that the prompting module is specifically included：
Transmitting element, for based on the identified current energy additional sample, the current energy supplemental services time to be sent To the terminal.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the vehicle energy recruitment behavior analysis method according to an exemplary embodiment of the invention；
Fig. 2 is the structural representation of the vehicle energy recruitment behavior analysis system according to an exemplary embodiment of the invention；
Fig. 3 is the structural representation for setting up module according to an exemplary embodiment of the invention；
Fig. 4 is the structural representation of the determining module according to an exemplary embodiment of the invention；
Fig. 5 is the structural representation of the vehicle energy recruitment behavior analysis system according to another exemplary embodiment of the present invention Figure.
Embodiment
The preferred embodiment of the present invention described with reference to the accompanying drawings.It will be apparent to a skilled person that this A little embodiments are used only for explaining the technical principle of the present invention, it is not intended that limit the scope of the invention.
The basic conception of the embodiment of the present invention is the energy benefit for combining the current remaining energy state of terminal and terminal, peripheral Resource distribution is filled, and provides estimated energy supplemental services duration.
Technical scheme provided in an embodiment of the present invention can be based on generation objective energy supplemental services system, and the system can be predicted The service time of each energy supplemental resources.And the also driving habit based on user of the embodiment of the present invention is regular feelings Condition.
The embodiment of the present invention consider terminal historic energy supplement custom (including the energy supplement when SoC (energy shapes Energy state when state, the i.e. energy are supplemented) and energy supplement place, the duration of each energy supplement), the current SoC of terminal, The energy supplemental resources and projected service duration on the current periphery of terminal, therefore, the embodiment of the present invention proposes a kind of vehicle energy Recruitment behavior analysis method.As shown in figure 1, this method can include：
S100：Obtain each energy additional sample of terminal.
Wherein, energy additional sample include the energy supplement when energy state, the energy prolongation, the energy supplement place and The energy supplemental services time.Energy state for example can be for dump energy, remaining fuel amounts (for example：Remaining amount of gasoline, remaining bavin Oil mass, remaining tolerance etc.).The energy prolongation for example can be for power-up time, refuelling time (for example：Refueling time, aerating Time).Energy supplement place for example can be for power-up supplement place, fuel supplement place (for example：Supplement of refueling place, aerating Supplement place etc.).
Terminal for example can be the vehicle for needing the energy to supplement, or other need the mobile instrument that the energy is supplemented.
The energy can include but is not limited to gasoline, hydrogen fuel, electric energy and diesel oil.
S110：Set up the Chebyshev inequality model of energy additional sample.
In certain embodiments, this step can be specifically included：Step S111 to step S113.
S111：The desired value of energy additional sample is determined according to below equation：
Wherein, E (x) represents the desired value of energy additional sample；I represents sampling number；N takes positive integer；XiRepresent the energy Additional sample collection.
S112：The variance of energy additional sample is determined according to below equation：
Wherein, D (x) represents the variance of the energy additional sample.
S113：The variance of desired value and energy additional sample based on energy additional sample, sets up the first Chebyshev not Equation models：
Wherein, d represents default arbitrary constant,d≠0。
Preferably, on the basis of step S113, the embodiment of the present invention can further include：To the first Chebyshev Inequality model is handled, and obtains the second Chebyshev inequality model：
S120：It is determined that meeting the current energy additional sample of Chebyshev inequality model.
Wherein, in the case of given d, if current energy additional sample meets Chebyshev inequality model, table Bright current energy additional sample belongs to same distribution with preceding n data, i.e., current energy prolongation and energy supplement place are Meet the normal energy recruitment behavior of terminal.
In certain embodiments, this step can further include step S121 and step S122.
S121：D values are updated, until causing current energy additional sample value to fall into default desired range of values.
This step can cause current energy additional sample value close to default desired range of values by constantly correcting d values.
S122：The current energy additional sample that sample value is fallen into default desired range of values, is defined as meeting Qi Bixue The current energy additional sample of husband's inequality model.
In certain embodiments, the above method can also include：Based on identified current energy additional sample, to terminal Send energy supplement prompting message.
Specifically, this step can include：Based on identified current energy additional sample, by current energy supplemental services Time is sent to terminal.
Describe the flow of vehicle energy recruitment behavior analysis method in detail with a preferred embodiment below.
Generation objective energy supplemental services system track terminal present position, and check the available energy on current location periphery Supplemental resources and the available situation of the attendant supplemented for the objective energy.Generation objective energy supplemental services system acquisition record terminal Energy complementary recording, it includes the sample of terminal each energy supplement, and SoC, the energy that the sample includes when the energy is supplemented are mended Time t, energy supplement place A and energy supplemental services time T are filled, i.e.,：Terminal each energy supplement sample X=M (SoC, T, A, T).
Assuming that the behavior of ith sampling is defined as Xi, then by the sampling of n times, an energy for obtaining stochastic variable X is mended Fill sample set (X1, X2 ... ..., Xn).
Exemplary vehicle energy recruitment behavior analysis method can include step S200 to step S280.Wherein：
S200：Obtain the sample of each energy supplement of terminal.
S210：The average value of energy additional sample is determined according to below equation：
Wherein, i represents sampling number, i=1,2 ... n；Represent the average value of energy additional sample；N takes just whole Number.
S220：The desired value of energy additional sample is determined according to below equation：
Wherein, E (x) represents the desired value of energy additional sample.
When sample is large sample, i.e. larger (the n of n>30),
S230：The variance of energy additional sample is determined according to below equation：
Wherein, D (x) represents the variance of energy additional sample.When n is larger, above-mentioned formula of variance can be：
S240：For energy additional sample collection, the first Chebyshev inequality model is determined：
Wherein, d represents default arbitrary constant,D ≠ 0, R represents the set of all numbers.
S250：Above-mentioned first Chebyshev inequality is handled, the second Chebyshev inequality model is obtained：
S260：It is determined that meeting the current energy additional sample of above-mentioned Chebyshev inequality.
In this step, if it is determined that go out to meet the current energy additional sample of above-mentioned Chebyshev inequality, then explanation is worked as Preceding energy additional sample and preceding n data belong to same distribution, that is, illustrate that current energy prolongation and the energy supplement place It is to meet the normal energy recruitment behavior of terminal.
S270：D values are updated, until causing current energy additional sample value to fall into default desired range of values.
S280：When current energy additional sample value is fallen into terminal desired range of values, send energy supplement to terminal and carry Awake information.
In actual applications, with the increase of sampled value, energy supplement prompting can constantly surmount terminal expectation.
It should be noted that above-mentioned be only assumed as citing, inappropriate limitation of the present invention is not construed as.
Based on embodiment of the method identical technical concept, the embodiment of the present invention also provides a kind of vehicle energy recruitment behavior Analysis system.As shown in Fig. 2 the system can include acquisition module 22, set up module 24 and determining module 26.Wherein, obtain Module 22 be used for obtain each energy additional sample of terminal, wherein, energy additional sample include the energy supplement when energy state, Energy prolongation, energy supplement place and energy supplemental services time.Set up module 24 with acquisition module 22 to be connected, for building The Chebyshev inequality model of vertical energy additional sample.Determining module 26 is connected with setting up module 24, for determining to meet contract Than the current energy additional sample for avenging husband's inequality model.
In certain embodiments, as shown in figure 3, above-mentioned module 30 of setting up is specifically included：First determining unit 32, second is true Order member 34 and sets up unit 36.Wherein, the first determining unit 32 is used for the phase that energy additional sample is determined according to below equation Prestige value：
Wherein, E (x) represents the desired value of energy additional sample；I represents sampling number；N takes positive integer；XiRepresent the energy Additional sample collection.Second determining unit 34 is connected with the first determining unit 32, for determining that the energy supplements sample according to below equation This variance：
Wherein, D (x) represents the variance of energy additional sample.Set up unit 36 respectively with the first determining unit 32 and second Determining unit 34 is connected, and for the desired value based on energy additional sample and the variance of energy additional sample, sets up the first contract ratio Avenge husband's inequality model：
Wherein, d represents default arbitrary constant,d≠0。
On the basis of embodiment illustrated in fig. 2, the system can also include processing module.Wherein, processing module be used for pair First Chebyshev inequality model is handled, and obtains the second Chebyshev inequality model：
In certain embodiments, as shown in figure 4, above-mentioned determining module 40 can further include：Updating block and Three determining units.Wherein, updating block 42 is used to update d values, until causing current energy additional sample value to fall into default expectation In the range of value.3rd determining unit 44 is connected with updating block 42, for sample value to be fallen into working as in default desired range of values Preceding energy additional sample, is defined as meeting the current energy additional sample of Chebyshev inequality model.
As shown in figure 5, in certain embodiments, on the basis of embodiment illustrated in fig. 2, the system 50 can also include carrying Awake module 58.The system 50 can include acquisition module 52, set up module 54, determining module 56 and prompting module 58.Wherein, obtain Modulus block 52 is used to obtain each energy additional sample of terminal, wherein, energy additional sample includes the energy shape when energy is supplemented State, energy prolongation, energy supplement place and energy supplemental services time.Set up module 54 with acquisition module 52 to be connected, use In the Chebyshev inequality model for setting up energy additional sample.Determining module 56 is connected with setting up module 54, full for determining The current energy additional sample of sufficient Chebyshev inequality model.Prompting module 58, is connected with determining module 56, for based on institute The current energy additional sample determined, energy supplement prompting message is sent to terminal.
In certain embodiments, above-mentioned prompting module can specifically include transmitting element.Wherein, transmitting element is used to be based on Identified current energy additional sample, the current energy supplemental services time is sent to the terminal.
Person of ordinary skill in the field can be understood that, for convenience and simplicity of description, foregoing description The specific work process of system and relevant explanation, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
It should be noted that the vehicle energy recruitment behavior analysis system that above-described embodiment is provided is carrying out generation objective energy benefit When filling, only carried out with the division of above-mentioned each functional module or step for example, in actual applications, can as needed and incite somebody to action Above-mentioned functions distribution is completed by different functional module or step, i.e., divide the module or step in the embodiment of the present invention again Solution is combined, for example, the module of above-described embodiment can be merged into a module, can also be further split into multiple submodules Block, to complete all or part of function described above.For module, the title of step being related in the embodiment of the present invention, Just for the sake of distinguishing modules or step, inappropriate limitation of the present invention is not intended as.
Those skilled in the art should be able to recognize that, the mould of each example described with reference to the embodiments described herein Block, unit and method and step, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly say The interchangeability of bright electronic hardware and software, generally describes the composition of each example according to function in the above description And step.These functions are performed with electronic hardware or software mode actually, depending on technical scheme application-specific and set Count constraints.Special those skilled in the art can realize described work(to each specific application using distinct methods Can, but this realization is it is not considered that beyond the scope of this invention.
It should be understood that the quantity of the modules in Fig. 2-5 is only schematical.According to actual needs, each module can With with arbitrary quantity.
Term " first ", " second " etc. are for distinguishing similar object, rather than for describing or representing specific suitable Sequence or precedence.
Term " comprising " or any other like term are intended to including for nonexcludability, so that being including one Process, method, article or the equipment/device of row key element not only includes those key elements, but also including being not expressly set out Other key elements, or also include these processes, method, article or the intrinsic key element of equipment/device.
So far, combined preferred embodiment shown in the drawings describes technical scheme, still, this area Technical staff is it is easily understood that protection scope of the present invention is expressly not limited to these embodiments.Without departing from this On the premise of the principle of invention, those skilled in the art can make equivalent change or replacement to correlation technique feature, these Technical scheme after changing or replacing it is fallen within protection scope of the present invention.

Claims (10)

1. a kind of vehicle energy recruitment behavior analysis method, it is characterised in that methods described includes：
Each energy additional sample of terminal is obtained, wherein, energy state, energy when the energy additional sample is supplemented including the energy Source prolongation, energy supplement place and energy supplemental services time；
Set up the Chebyshev inequality model of the energy additional sample；
It is determined that meeting the current energy additional sample of the Chebyshev inequality model.
2. according to the method described in claim 1, it is characterised in that the Chebyshev for setting up the energy additional sample is not Equation models are specifically included：
The desired value of the energy additional sample is determined according to below equation：
E ( x ) = l i m n → ∞ 1 n Σ i = 1 n X i
Wherein, the E (x) represents the desired value of the energy additional sample；The i represents sampling number；The n takes just whole Number；The XiRepresent energy additional sample collection；
The variance of the energy additional sample is determined according to below equation：
D ( x ) = lim n → ∞ ( 1 n Σ i = 1 n x i 2 - E ( x ) 2 )
Wherein, the D (x) represents the variance of the energy additional sample；
The variance of desired value and the energy additional sample based on the energy additional sample, sets up the first Chebyshev Formula model：
P { | x i - E ( x ) | ≥ d } ≤ D ( x ) d 2
Wherein, the d represents default arbitrary constant,
3. method according to claim 2, it is characterised in that methods described further comprises：
The first Chebyshev inequality model is handled, the second Chebyshev inequality model is obtained：
P { | x i - E ( x ) | ≤ d } ≤ 1 - D ( x ) d 2 .
4. according to the method in claim 2 or 3, it is characterised in that the determination meets the Chebyshev inequality mould The current energy additional sample of type further comprises：
D values are updated, until causing the current energy additional sample value to fall into default desired range of values；
The current energy additional sample that the sample value is fallen into the default desired range of values, is defined as meeting described The current energy additional sample of Chebyshev inequality model.
5. according to method according to any one of claims 1 to 3, it is characterised in that methods described also includes：
Based on the identified current energy additional sample, energy supplement prompting message is sent to the terminal.
6. method according to claim 5, it is characterised in that the current energy supplement sample described based on determined by This, sends energy supplement prompting message to the terminal, specifically includes：
Based on the identified current energy additional sample, the current energy supplemental services time is sent to the terminal.
7. a kind of vehicle energy recruitment behavior analysis system, it is characterised in that the system includes：
Acquisition module, for obtaining each energy additional sample of terminal, wherein, when the energy additional sample includes energy supplement Energy state, the energy prolongation, energy supplement place and energy supplemental services time；
Module is set up, is connected with the acquisition module, the Chebyshev inequality model for setting up the energy additional sample；
Determining module, is connected with the module of setting up, and the current energy of the Chebyshev inequality model is met for determination Additional sample.
8. system according to claim 7, it is characterised in that the module of setting up is specifically included：
First determining unit, the desired value for determining the energy additional sample according to below equation：
E ( x ) = l i m n → ∞ 1 n Σ i = 1 n X i
Wherein, the E (x) represents the desired value of the energy additional sample；The i represents sampling number；The n takes just whole Number；The XiRepresent energy additional sample collection；
Second determining unit, is connected with first determining unit, for determining the energy additional sample according to below equation Variance：
D ( x ) = lim n → ∞ ( 1 n Σ i = 1 n x i 2 - E ( x ) 2 )
Wherein, the D (x) represents the variance of the energy additional sample；
Unit is set up, is connected respectively with first determining unit and second determining unit, for being mended based on the energy The desired value of sample and the variance of the energy additional sample are filled, the first Chebyshev inequality model is set up：
P { | x i - E ( x ) | ≥ d } ≤ D ( x ) d 2
Wherein, the d represents default arbitrary constant,
9. system according to claim 7, it is characterised in that the system further comprises：
Processing module, for handling the first Chebyshev inequality model, obtains the second Chebyshev inequality Model：
P { | x i - E ( x ) | ≤ d } ≤ 1 - D ( x ) d 2 .
10. system according to claim 8 or claim 9, it is characterised in that the determining module further comprises：
Updating block, for updating d values, until causing the current energy additional sample value to fall into default desired range of values；
3rd determining unit, the current energy for the sample value to be fallen into the default desired range of values supplements sample This, is defined as meeting the current energy additional sample of the Chebyshev inequality model.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109697876A (en) * 2018-10-30 2019-04-30 百度在线网络技术（北京）有限公司 For providing the method, apparatus, equipment and storage medium of information of vehicles

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012113546A (en) * 2010-11-25 2012-06-14 Denso Corp Necessary power prediction device for vehicle
CN103855767A (en) * 2014-02-18 2014-06-11 电子科技大学 Dispatching method of charging stations of electric vehicles
CN104778263A (en) * 2015-04-23 2015-07-15 储盈新能源科技（上海）有限公司 Simulating data mining method for electric vehicle charging station system
CN105398347A (en) * 2015-10-21 2016-03-16 北京小飞快充网络科技有限公司 Electric vehicle intelligent queuing method capable of improving charging efficiency

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012113546A (en) * 2010-11-25 2012-06-14 Denso Corp Necessary power prediction device for vehicle
CN103855767A (en) * 2014-02-18 2014-06-11 电子科技大学 Dispatching method of charging stations of electric vehicles
CN104778263A (en) * 2015-04-23 2015-07-15 储盈新能源科技（上海）有限公司 Simulating data mining method for electric vehicle charging station system
CN105398347A (en) * 2015-10-21 2016-03-16 北京小飞快充网络科技有限公司 Electric vehicle intelligent queuing method capable of improving charging efficiency

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
TILMANN ABBE HORST等: ""Prediction of dynamic Rankine Cycle waste heat recovery performance and fuel saving potential in passenger car applications considering interactions with vehicles’ energy management"", 《ENERGY CONVERSION AND MANAGEMENT》 *
戴立辉: "《概率论与数理统计教程》", 31 December 2015, 上海：同济大学出版社 *
许晓东 等: ""基于Netflow的异常流量分离以及归类"", 《计算机工程与设计》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109697876A (en) * 2018-10-30 2019-04-30 百度在线网络技术（北京）有限公司 For providing the method, apparatus, equipment and storage medium of information of vehicles

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