CN112435053A - Method and device for predicting charging behavior of electric vehicle and electronic equipment - Google Patents

Method and device for predicting charging behavior of electric vehicle and electronic equipment Download PDF

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Publication number
CN112435053A
CN112435053A CN202011275166.6A CN202011275166A CN112435053A CN 112435053 A CN112435053 A CN 112435053A CN 202011275166 A CN202011275166 A CN 202011275166A CN 112435053 A CN112435053 A CN 112435053A
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China
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charging
current
fixed
historical
time
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CN202011275166.6A
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Chinese (zh)
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李亚男
王建一
高雁飞
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Ruichi Dianzhuang Dalian Electric System Co ltd
Neusoft Reach Automotive Technology Shenyang Co Ltd
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Ruichi Dianzhuang Dalian Electric System Co ltd
Neusoft Reach Automotive Technology Shenyang Co Ltd
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Priority to CN202011275166.6A priority Critical patent/CN112435053A/en
Publication of CN112435053A publication Critical patent/CN112435053A/en
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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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0202—Market predictions or forecasting for commercial activities
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • 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
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations
    • 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
    • Y02T90/14—Plug-in electric vehicles

Abstract

The invention provides a method and a device for predicting charging behavior of an electric automobile and electronic equipment, wherein the method comprises the following steps: acquiring a historical charging habit of a vehicle owner for charging the electric vehicle; acquiring the current position, the current time and the current battery SOC of the electric automobile during the trip; determining whether the current trip of the electric automobile accords with the historical charging habit or not based on the current position, the current time and the current battery SOC; and if so, determining that the travel of the electric automobile carries the charging intention. The method and the device can predict the charging behavior based on the historical charging habit of the vehicle owner, and solve the technical problem that the charging behavior of the electric vehicle cannot be predicted in the prior art.

Description

Method and device for predicting charging behavior of electric vehicle and electronic equipment
Technical Field
The invention relates to the technical field of electric automobiles, in particular to a method and a device for predicting charging behavior of an electric automobile and electronic equipment.
Background
Currently, electric vehicles are becoming popular. The power battery as a power source is limited by the performance, the charging speed is slow, and the charging time is long; in addition, charging pile resources are limited, congestion and queuing are achieved, and the development of new energy vehicles is restricted.
Therefore, it is necessary to study and predict the charging behavior of the electric vehicle, and there is no method for predicting the charging behavior of the electric vehicle in the prior art.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for predicting a charging behavior of an electric vehicle, and an electronic device, so as to solve the technical problem that the charging behavior of the electric vehicle cannot be predicted in the prior art.
In a first aspect, the present invention provides a method for predicting charging behavior of an electric vehicle, including:
obtain the historical habit of charging that the car owner charges to electric automobile, wherein, historical charging habit includes: whether a charging place is fixed, whether the time for starting charging is fixed, and whether a charging start SOC interval is fixed;
acquiring the current position, the current time and the current battery SOC of the electric automobile during the trip;
determining whether the current trip of the electric vehicle conforms to the historical charging habit or not based on the current position, the current time and the current battery SOC;
and if so, determining that the travel of the electric automobile carries the charging intention.
Further, the method further comprises:
if the fact that the current trip of the electric automobile does not accord with the historical charging habit is determined, whether the current trip of the electric automobile carries the charging intention or not cannot be determined.
Further, obtaining the historical charging habit of the vehicle owner to charge the electric vehicle comprises:
acquiring historical travel data and historical charging data of the electric automobile;
constructing a travel track network according to the historical travel data, wherein the travel track network comprises: a plurality of nodes and connections between nodes, each of said nodes representing any of: the system comprises a trip starting point, a trip end point and a trip intersection point, wherein the distance and the speed between two nodes connected with the trip starting point, the trip end point and the trip intersection point are marked on a connecting line;
according to the historical charging data, charging nodes are marked in the travel track network, and charging information of the electric vehicle at each charging node is counted, wherein the charging information comprises: charging frequency, time for starting charging, a charging starting SOC interval and a historical travel track for reaching the charging node;
and determining the historical charging habits according to the charging information of each charging node.
Further, if the historical charging habit is that the charging place is fixed, the time for starting charging is fixed, the charging starting SOC interval is fixed, and determining whether the current trip of the electric vehicle meets the historical charging habit or not based on the current position, the current time and the current battery SOC includes:
determining whether a fixed charging node can be reached from the current position according to the historical travel track;
predicting a time to reach the fixed charging node based on the current time;
predicting a battery SOC that reaches the fixed charging node based on the current battery SOC;
if the fixed charging node can be reached from the current position, the time of reaching the fixed charging node is consistent with the time of starting charging, and the SOC of the battery reaching the fixed charging node is consistent with the charging starting SOC interval, determining that the current trip of the electric automobile is consistent with the historical charging habit;
if the fixed charging node cannot be reached from the current position, or the time for reaching the fixed charging node does not accord with the time for starting charging, or the battery SOC for reaching the fixed charging node does not accord with the charging starting SOC interval, determining that the current trip of the electric automobile does not accord with the historical charging habit.
Further, if the historical charging habit is that the charging place is fixed, the time for starting charging is fixed, the charging starting SOC interval is not fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit or not based on the current position, the current time and the current battery SOC includes:
determining whether a fixed charging node can be reached from the current position according to the historical travel track;
predicting a time to reach the fixed charging node based on the current time;
if the fixed charging node can be reached from the current position and the time for reaching the fixed charging node is consistent with the time for starting charging, determining that the current trip of the electric automobile is consistent with the historical charging habit;
and if the fixed charging node cannot be reached from the current position, or the time for reaching the fixed charging node is not consistent with the time for starting charging, determining that the travel of the electric automobile is not in line with the historical charging habit.
Further, if the historical charging habit is that the charging place is fixed, the time for starting charging is not fixed, the charging starting SOC interval is fixed, and whether the current trip of the electric vehicle meets the historical charging habit or not is determined based on the current position, the current time and the current battery SOC includes:
determining whether a fixed charging node can be reached from the current position according to the historical travel track;
predicting a battery SOC that reaches the fixed charging node based on the current battery SOC;
if the fixed charging node can be reached from the current position and the SOC of the battery reaching the fixed charging node is consistent with the charging starting SOC interval, determining that the current trip of the electric automobile is consistent with the historical charging habit;
and if the fixed charging node cannot be reached from the current position, or the SOC of the battery reaching the fixed charging node is not consistent with the charging starting SOC interval, determining that the travel of the electric automobile is not in line with the historical charging habit.
Further, if the historical charging habit is that the charging place is fixed, the time for starting charging is not fixed, and the charging starting SOC interval is not fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit or not based on the current position, the current time and the current battery SOC includes:
determining whether a fixed charging node can be reached from the current position according to the historical travel track;
if the fixed charging node can be reached from the current position and the probability of reaching the fixed charging node from the current position is higher than a preset threshold value, determining that the current trip of the electric vehicle conforms to the historical charging habit;
if the fixed charging node cannot be reached from the current position, or the probability of reaching the fixed charging node from the current position is not higher than the preset threshold value, determining that the current trip of the electric vehicle does not conform to the historical charging habit.
Further, if the historical charging habit is that the charging place is not fixed, the time for starting charging is fixed, the charging starting SOC interval is fixed, and whether the current trip of the electric vehicle meets the historical charging habit or not is determined based on the current position, the current time and the current battery SOC includes:
determining whether any charging node can be reached from the current position according to the historical travel track;
predicting a time to reach the arbitrary charging node based on the current time;
predicting a battery SOC that reaches the arbitrary charging node based on the current battery SOC;
if the optional charging node can be reached from the current position, the time of reaching the optional charging node is consistent with the time of starting charging, and the SOC of the battery reaching the optional charging node is consistent with the charging starting SOC interval, determining that the current trip of the electric automobile is consistent with the historical charging habit;
if the arbitrary charging node cannot be reached from the current position, or the time of reaching the arbitrary charging node does not coincide with the time of starting charging, or the battery SOC of reaching the arbitrary charging node does not coincide with the charging starting SOC interval, determining that the current trip of the electric vehicle does not coincide with the historical charging habit.
Further, if the historical charging habit is that the charging place is not fixed, the time for starting charging is fixed, the charging starting SOC interval is not fixed, and whether the current trip of the electric vehicle conforms to the historical charging habit or not is determined based on the current position, the current time and the current battery SOC includes:
determining whether any charging node can be reached from the current position according to the historical travel track;
predicting a time to reach the arbitrary charging node based on the current time;
if the optional charging node can be reached from the current position and the time for reaching the optional charging node is consistent with the time for starting charging, determining that the current trip of the electric automobile is consistent with the historical charging habit;
and if the optional charging node cannot be reached from the current position, or the time for reaching the optional charging node does not accord with the time for starting charging, determining that the current trip of the electric automobile does not accord with the historical charging habit.
Further, if the historical charging habit is that the charging place is not fixed, the time for starting charging is not fixed, the charging starting SOC interval is fixed, and whether the current trip of the electric vehicle meets the historical charging habit or not is determined based on the current position, the current time and the current battery SOC includes:
determining whether any charging node can be reached from the current position according to the historical travel track;
predicting a battery SOC that reaches the arbitrary charging node based on the current battery SOC;
if the optional charging node can be reached from the current position and the SOC of the battery reaching the optional charging node is consistent with the initial charging SOC interval, determining that the current trip of the electric vehicle is consistent with the historical charging habit;
and if the optional charging node cannot be reached from the current position, or the SOC of the battery reaching the optional charging node is not consistent with the initial charging SOC interval, determining that the trip of the electric vehicle is not in line with the historical charging habit.
Further, if the historical charging habit is that the charging place is not fixed, the time for starting charging is not fixed, and the charging starting SOC interval is not fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit or not based on the current position, the current time and the current battery SOC includes:
determining that the current trip of the electric vehicle does not conform to the historical charging habit based on the current position, the current time and the current battery SOC.
In a second aspect, an embodiment of the present invention further provides an apparatus for predicting a charging behavior of an electric vehicle, including:
the first acquisition unit is used for acquiring the historical charging habit of a vehicle owner for charging the electric vehicle, wherein the historical charging habit comprises: whether a charging place is fixed, whether the time for starting charging is fixed, and whether a charging start SOC interval is fixed;
the second obtaining unit is used for obtaining the current position, the current time and the current battery SOC of the electric automobile during the trip;
a first determining unit, configured to determine whether the current trip of the electric vehicle conforms to the historical charging habit based on the current location, the current time, and the current battery SOC;
and the second determination unit is used for determining that the current trip of the electric automobile carries the charging intention if the current trip of the electric automobile meets the requirement.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to any one of the above first aspects when executing the computer program.
In a fourth aspect, an embodiment of the present invention provides a computer-readable medium having non-volatile program code executable by a processor, where the program code causes the processor to perform the steps of the method according to any one of the first aspect.
In an embodiment of the present invention, a method for predicting charging behavior of an electric vehicle is provided, including: acquiring a historical charging habit of a vehicle owner for charging the electric vehicle; acquiring the current position, the current time and the current battery SOC of the electric automobile during the trip; determining whether the current trip of the electric automobile accords with the historical charging habit or not based on the current position, the current time and the current battery SOC; and if so, determining that the travel of the electric automobile carries the charging intention. According to the invention, the charging behavior of the current time can be predicted based on the historical charging habit of the vehicle owner, and the technical problem that the charging behavior of the electric vehicle cannot be predicted in the prior art is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for predicting charging behavior of an electric vehicle according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for acquiring a historical charging habit of a vehicle owner for charging an electric vehicle according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an apparatus for predicting charging behavior of an electric vehicle according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The method can predict the charging behavior of the vehicle owner, and then multiple optimized charging schemes are developed based on the predicted charging behavior, so that the charging time and the charging waiting time are saved, and the user experience is increased.
Embodiments of the present invention are further described below with reference to the accompanying drawings.
The first embodiment is as follows:
in accordance with an embodiment of the present invention, there is provided an embodiment of a method for predicting charging behavior of an electric vehicle, where the steps illustrated in the flowchart of the drawings may be implemented in a computer system, such as a set of computer-executable instructions, and where a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that illustrated herein.
Fig. 1 is a flowchart of a method for predicting charging behavior of an electric vehicle according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, obtaining a historical charging habit of a vehicle owner for charging the electric vehicle, wherein the historical charging habit comprises: whether a charging place is fixed, whether the time for starting charging is fixed, and whether a charging start SOC interval is fixed;
in the embodiment of the invention, the method for predicting the charging behavior of the electric vehicle can be executed by the cloud. Above-mentioned historical charging habit carries out statistical analysis for the high in the clouds historical data to electric automobile and obtains, and above-mentioned historical data includes: the historical trip data and the historical charging data are described in detail below, and the process of obtaining the historical charging habit is not described herein again.
Step S104, acquiring the current position, the current time and the current battery SOC of the electric automobile during the trip;
step S106, determining whether the travel of the electric automobile conforms to the historical charging habit or not based on the current position, the current time and the current battery SOC;
similarly, the process is described in detail below, and is not described herein again.
And S108, if the result is met, determining that the travel of the electric automobile carries the charging intention.
In an embodiment of the present invention, a method for predicting charging behavior of an electric vehicle is provided, including: acquiring a historical charging habit of a vehicle owner for charging the electric vehicle; acquiring the current position, the current time and the current battery SOC of the electric automobile during the trip; determining whether the current trip of the electric automobile accords with the historical charging habit or not based on the current position, the current time and the current battery SOC; and if so, determining that the travel of the electric automobile carries the charging intention. According to the invention, the charging behavior of the current time can be predicted based on the historical charging habit of the vehicle owner, and the technical problem that the charging behavior of the electric vehicle cannot be predicted in the prior art is solved.
In an optional embodiment of the invention, the method further comprises:
if the fact that the travel of the electric automobile does not accord with the historical charging habit is determined, whether the travel of the electric automobile carries the charging intention or not cannot be determined, namely the charging behavior of the travel is unpredictable.
The foregoing briefly introduces the method for predicting charging behavior of an electric vehicle according to the present invention, and the following describes the details of the method in detail.
In an optional embodiment of the present invention, referring to fig. 2, in step S102, the step of obtaining the historical charging habit of the vehicle owner for charging the electric vehicle specifically includes the following steps:
step S201, obtaining historical trip data and historical charging data of the electric automobile;
step S202, a travel track network is constructed according to historical travel data, wherein the travel track network comprises: a plurality of nodes and connections between nodes, each node representing any of: the trip starting point, the trip end point and the trip intersection point are marked with the distance and the speed between two nodes connected with the trip starting point, the trip end point and the trip intersection point;
it should be noted that each node in the travel track network is labeled with a node number.
Step S203, marking charging nodes in the travel track network according to the historical charging data, and counting charging information of the electric vehicle at each charging node, wherein the charging information comprises: charging frequency, time for starting charging, a charging starting SOC interval and a historical travel track of arriving at a charging node;
the historical travel track reaching the charging node refers to a route traveled before the charging node is charged.
It should be noted that, after the charging nodes are marked in the travel track network, a charging node number is further marked for each charging node.
And step S204, determining historical charging habits according to the charging information of each charging node.
That is, whether a charging place where the vehicle owner charges the electric vehicle is fixed, whether the time for starting charging is fixed, and whether the charging start SOC interval is fixed are determined according to the charging frequency, the time for starting charging, and the charging start SOC interval of each charging node.
When determining the historical charging habits, the specific strategy can be set according to the requirements of the vehicle owner.
For example, when the charging frequency of a certain charging node is greater than a preset threshold, it may be set that the charging place where the vehicle owner charges the electric vehicle is fixed; the vehicle owner can also be set to charge the electric vehicle only at the charging nodes within the preset number (such as 3), which indicates that the charging place for the vehicle owner to charge the electric vehicle is fixed; of course, other strategies are also possible, and the two strategies are not particularly limited by the embodiment of the present invention.
For another example, if the time for the owner to start charging the electric vehicle each time is about 8 am, this indicates that the time for the owner to start charging the electric vehicle is fixed; or, the time when the owner starts to charge the electric vehicle may be 8 am or 8 pm, which also indicates that the time when the owner starts to charge the electric vehicle is fixed, and the embodiment of the present invention does not specifically limit the two strategies.
For another example, if the owner charges the electric vehicle, the initial SOC interval of the battery is less than 30%, which means that the initial SOC interval of the electric vehicle charged by the owner is fixed; alternatively, when the owner charges the electric vehicle, the initial SOC intervals of the battery are all less than 20% (or between 20% and 30%), which also means that the initial SOC intervals of the battery for the owner to charge the electric vehicle are fixed, and the embodiment of the present invention does not specifically limit the above strategy.
In an optional embodiment of the present invention, if the historical charging habit is that the charging place is fixed, the time for starting charging is fixed, and the charging start SOC interval is fixed, step S106, determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC specifically includes:
(1) determining whether a fixed charging node can be reached from the current position according to the historical travel track;
(2) predicting a time to reach a fixed charging node based on a current time;
(3) predicting a battery SOC that reaches a fixed charging node based on a current battery SOC;
(4) if the fixed charging node can be reached from the current position, the time of reaching the fixed charging node is consistent with the time of starting charging, and the SOC of the battery reaching the fixed charging node is consistent with the initial SOC interval of charging, determining that the trip of the electric automobile is consistent with the historical charging habit;
(5) if the fixed charging node cannot be reached from the current position, or the time of reaching the fixed charging node does not accord with the time of starting charging, or the battery SOC of reaching the fixed charging node does not accord with the charging starting SOC interval, determining that the trip of the electric automobile does not accord with the historical charging habit.
In an optional embodiment of the present invention, if the historical charging habit is that the charging place is fixed, the time for starting charging is fixed, and the charging start SOC interval is not fixed, step S106, determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC specifically includes:
1) determining whether a fixed charging node can be reached from the current position according to the historical travel track;
2) predicting a time to reach a fixed charging node based on a current time;
3) if the fixed charging node can be reached from the current position and the time for reaching the fixed charging node is consistent with the time for starting charging, determining that the travel of the electric automobile is consistent with the historical charging habit;
4) and if the fixed charging node can not be reached from the current position, or the time of reaching the fixed charging node is not consistent with the time of starting charging, determining that the travel of the electric automobile is not in accordance with the historical charging habit.
In an optional embodiment of the present invention, if the historical charging habit is that the charging place is fixed, the time for starting charging is not fixed, and the charging start SOC interval is fixed, step S106, determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC specifically includes:
(a) determining whether a fixed charging node can be reached from the current position according to the historical travel track;
(b) predicting a battery SOC that reaches a fixed charging node based on a current battery SOC;
(c) if the fixed charging node can be reached from the current position and the SOC of the battery reaching the fixed charging node is consistent with the initial charging SOC interval, determining that the travel of the electric automobile is consistent with the historical charging habit;
(d) and if the fixed charging node can not be reached from the current position, or the SOC of the battery reaching the fixed charging node is not consistent with the charging starting SOC interval, determining that the travel of the electric automobile is not in accordance with the historical charging habit.
In an optional embodiment of the present invention, if the historical charging habit is that the charging place is fixed, the time for starting charging is not fixed, and the charging start SOC interval is not fixed, step S106, determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC specifically includes:
a) determining whether a fixed charging node can be reached from the current position according to the historical travel track;
b) if the fixed charging node can be reached from the current position and the probability of reaching the fixed charging node from the current position is higher than a preset threshold value, determining that the travel of the electric automobile conforms to the historical charging habit;
the probability of reaching a fixed charging node from the current position is a probability of going to the charging node when the road has a branch road, and the probability can be calculated according to a ratio of historical travel times.
c) If the fixed charging node cannot be reached from the current position, or the probability of reaching the fixed charging node from the current position is not higher than a preset threshold value, it is determined that the travel of the electric vehicle does not conform to the historical charging habit.
In an optional embodiment of the present invention, if the historical charging habit is that the charging place is not fixed, the time for starting charging is fixed, and the charging start SOC interval is fixed, step S106, determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC specifically includes:
(i) determining whether any charging node can be reached from the current position according to the historical travel track;
the arbitrary charging node refers to a charging node in the travel trajectory network.
(ii) Predicting a time to reach an arbitrary charging node based on the current time;
(iii) predicting a battery SOC that reaches an arbitrary charging node based on a current battery SOC;
(iv) if any charging node can be reached from the current position, the time of reaching the any charging node is consistent with the time of starting charging, and the SOC of the battery reaching the any charging node is consistent with the initial SOC interval of charging, determining that the trip of the electric automobile is consistent with the historical charging habit;
(iv) two arbitrary charging nodes represent the same charging node.
(v) If the optional charging node can not be reached from the current position, or the time of reaching the optional charging node is not consistent with the time of starting charging, or the SOC of the battery reaching the optional charging node is not consistent with the charging starting SOC interval, determining that the trip of the electric automobile is not in accordance with the historical charging habit.
(vi) The two arbitrary charging nodes also represent the same charging node.
In an optional embodiment of the present invention, if the historical charging habit is that the charging place is not fixed, the time for starting charging is fixed, and the charging start SOC interval is not fixed, step S106, determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC specifically includes:
i) determining whether any charging node can be reached from the current position according to the historical travel track;
the arbitrary charging node refers to a charging node in the travel trajectory network.
ii) predicting a time to reach any of the charging nodes based on the current time;
iii) if the electric vehicle can reach any charging node from the current position and the time of reaching the any charging node is consistent with the time of starting charging, determining that the travel of the electric vehicle is consistent with the historical charging habit;
iv) if the electric vehicle cannot arrive at any charging node from the current position, or the time of arriving at any charging node is not consistent with the time of starting charging, determining that the current trip of the electric vehicle is not in accordance with the historical charging habit.
In an optional embodiment of the present invention, if the historical charging habit is that the charging place is not fixed, the time for starting charging is not fixed, and the charging start SOC interval is fixed, step S106, determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC specifically includes:
11) determining whether any charging node can be reached from the current position according to the historical travel track;
12) predicting a battery SOC that reaches an arbitrary charging node based on a current battery SOC;
13) if any charging node can be reached from the current position and the SOC of the battery reaching the any charging node is consistent with the initial SOC interval of charging, determining that the travel of the electric automobile is consistent with the historical charging habit;
14) if the optional charging node can not be reached from the current position, or the SOC of the battery reaching the optional charging node is not consistent with the charging starting SOC interval, the fact that the travel of the electric automobile does not accord with the historical charging habit is determined.
In an optional embodiment of the present invention, if the historical charging habit is that the charging place is not fixed, the time for starting charging is not fixed, and the charging start SOC interval is not fixed, step S106, determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC includes: and determining that the trip of the electric automobile does not conform to the historical charging habit based on the current position, the current time and the current battery SOC.
The method can predict the charging behavior of the electric automobile, and further develop various intelligent charging strategies based on the prediction result. For example, the purpose that the trip carries the charging purpose is predicted, and the battery can be heated in advance, so that the charging time is saved; for another example, it is predicted that the trip is going to charge the charging node X, and based on the information fed back by the charging pile of the charging node X, it is known that the charging pile resource of the current charging node X is in shortage, so that the charging time can be changed, or the charging place can be changed, thereby saving the charging waiting time and increasing the user experience.
Example two:
the embodiment of the present invention further provides a device for predicting a charging behavior of an electric vehicle, where the device for predicting a charging behavior of an electric vehicle is mainly used to execute the method for predicting a charging behavior of an electric vehicle provided by the embodiment of the present invention.
Fig. 3 is a schematic diagram of an apparatus for predicting charging behavior of an electric vehicle according to an embodiment of the present invention, as shown in fig. 3, the apparatus for predicting charging behavior of an electric vehicle mainly includes: a first acquisition unit 10, a second acquisition unit 20, a first determination unit 30 and a second determination unit 40, wherein:
the first acquisition unit for acquire the historical habit of charging that the car owner charges to electric automobile, wherein, historical charging habit includes: whether a charging place is fixed, whether the time for starting charging is fixed, and whether a charging start SOC interval is fixed;
the second obtaining unit is used for obtaining the current position, the current time and the current battery SOC of the electric automobile during the trip;
the first determining unit is used for determining whether the travel of the electric automobile conforms to the historical charging habit or not based on the current position, the current time and the current battery SOC;
and the second determination unit is used for determining that the travel of the electric automobile carries the charging intention if the travel of the electric automobile meets the requirement.
In an embodiment of the present invention, an apparatus for predicting charging behavior of an electric vehicle is provided, including: acquiring a historical charging habit of a vehicle owner for charging the electric vehicle; acquiring the current position, the current time and the current battery SOC of the electric automobile during the trip; determining whether the current trip of the electric automobile accords with the historical charging habit or not based on the current position, the current time and the current battery SOC; and if so, determining that the travel of the electric automobile carries the charging intention. According to the invention, the charging behavior of the current time can be predicted based on the historical charging habit of the vehicle owner, and the technical problem that the charging behavior of the electric vehicle cannot be predicted in the prior art is solved.
Optionally, the apparatus is further configured to: and if the current energy recovery power meets the required recovery power, controlling the motor system to work in the highest power generation efficiency area, and reducing the power of the power compensation component.
Optionally, the first obtaining unit is further configured to: acquiring historical travel data and historical charging data of the electric automobile; constructing a travel track network according to historical travel data, wherein the travel track network comprises: a plurality of nodes and connections between nodes, each node representing any of: the trip starting point, the trip end point and the trip intersection point are marked with the distance and the speed between two nodes connected with the trip starting point, the trip end point and the trip intersection point; according to historical charging data, charging nodes are marked in a travel track network, charging information of the electric automobile at each charging node is counted, wherein the charging information comprises: charging frequency, time for starting charging, a charging starting SOC interval and a historical travel track of arriving at a charging node; and determining historical charging habits according to the charging information of each charging node.
Optionally, if the historical charging habit is that the charging place is fixed, the time for starting charging is fixed, and the charging start SOC interval is fixed, the first determining unit is further configured to: determining whether a fixed charging node can be reached from the current position according to the historical travel track; predicting a time to reach a fixed charging node based on a current time; predicting a battery SOC that reaches a fixed charging node based on a current battery SOC; if the fixed charging node can be reached from the current position, the time of reaching the fixed charging node is consistent with the time of starting charging, and the SOC of the battery reaching the fixed charging node is consistent with the initial SOC interval of charging, determining that the trip of the electric automobile is consistent with the historical charging habit; if the fixed charging node cannot be reached from the current position, or the time of reaching the fixed charging node does not accord with the time of starting charging, or the battery SOC of reaching the fixed charging node does not accord with the charging starting SOC interval, determining that the trip of the electric automobile does not accord with the historical charging habit.
Optionally, if the historical charging habit is that the charging place is fixed, the time for starting charging is fixed, and the charging start SOC interval is not fixed, the first determining unit is further configured to: determining whether a fixed charging node can be reached from the current position according to the historical travel track; predicting a time to reach a fixed charging node based on a current time; if the fixed charging node can be reached from the current position and the time for reaching the fixed charging node is consistent with the time for starting charging, determining that the travel of the electric automobile is consistent with the historical charging habit; and if the fixed charging node can not be reached from the current position, or the time of reaching the fixed charging node is not consistent with the time of starting charging, determining that the travel of the electric automobile is not in accordance with the historical charging habit.
Optionally, if the historical charging habit is that the charging place is fixed, the time for starting charging is not fixed, and the charging start SOC interval is fixed, the first determining unit is further configured to: determining whether a fixed charging node can be reached from the current position according to the historical travel track; predicting a battery SOC that reaches a fixed charging node based on a current battery SOC; if the fixed charging node can be reached from the current position and the SOC of the battery reaching the fixed charging node is consistent with the initial charging SOC interval, determining that the travel of the electric automobile is consistent with the historical charging habit; and if the fixed charging node can not be reached from the current position, or the SOC of the battery reaching the fixed charging node is not consistent with the charging starting SOC interval, determining that the travel of the electric automobile is not in accordance with the historical charging habit.
Alternatively, if the historical charging habit is that the charging place is fixed, the time for starting charging is not fixed, and the charging start SOC interval is not fixed, the first determining unit is further configured to: determining whether a fixed charging node can be reached from the current position according to the historical travel track; if the fixed charging node can be reached from the current position and the probability of reaching the fixed charging node from the current position is higher than a preset threshold value, determining that the travel of the electric automobile conforms to the historical charging habit; if the fixed charging node cannot be reached from the current position, or the probability of reaching the fixed charging node from the current position is not higher than a preset threshold value, it is determined that the travel of the electric vehicle does not conform to the historical charging habit.
Optionally, if the historical charging habit is that the charging place is not fixed, the time for starting charging is fixed, and the charging start SOC interval is fixed, the first determining unit is further configured to: determining whether any charging node can be reached from the current position according to the historical travel track; predicting a time to reach an arbitrary charging node based on the current time; predicting a battery SOC that reaches an arbitrary charging node based on a current battery SOC; if any charging node can be reached from the current position, the time of reaching the any charging node is consistent with the time of starting charging, and the SOC of the battery reaching the any charging node is consistent with the initial SOC interval of charging, determining that the trip of the electric automobile is consistent with the historical charging habit; if the optional charging node can not be reached from the current position, or the time of reaching the optional charging node is not consistent with the time of starting charging, or the SOC of the battery reaching the optional charging node is not consistent with the charging starting SOC interval, determining that the trip of the electric automobile is not in accordance with the historical charging habit.
Alternatively, if the historical charging habit is that the charging place is not fixed, the time for starting charging is fixed, and the charging start SOC interval is not fixed, the first determining unit is further configured to: determining whether any charging node can be reached from the current position according to the historical travel track; predicting a time to reach an arbitrary charging node based on the current time; if any charging node can be reached from the current position and the time for reaching the any charging node is consistent with the time for starting charging, determining that the travel of the electric automobile conforms to the historical charging habit; and if the optional charging node can not be reached from the current position, or the time for reaching the optional charging node does not accord with the time for starting charging, determining that the travel of the electric automobile does not accord with the historical charging habit.
Optionally, if the historical charging habit is that the charging place is not fixed, the time for starting charging is not fixed, and the charging start SOC interval is fixed, the first determining unit is further configured to: determining whether any charging node can be reached from the current position according to the historical travel track; predicting a battery SOC that reaches an arbitrary charging node based on a current battery SOC; if any charging node can be reached from the current position and the SOC of the battery reaching the any charging node is consistent with the initial SOC interval of charging, determining that the travel of the electric automobile is consistent with the historical charging habit; if the optional charging node can not be reached from the current position, or the SOC of the battery reaching the optional charging node is not consistent with the charging starting SOC interval, the fact that the travel of the electric automobile does not accord with the historical charging habit is determined.
Alternatively, if the historical charging habit is that the charging place is not fixed, the time for starting charging is not fixed, and the charging start SOC interval is not fixed, the first determining unit is further configured to: and determining that the trip of the electric automobile does not conform to the historical charging habit based on the current position, the current time and the current battery SOC.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
As shown in fig. 4, an electronic device 600 provided in an embodiment of the present application includes: the electric vehicle charging behavior prediction method comprises a processor 601, a memory 602 and a bus, wherein the memory 602 stores machine-readable instructions executable by the processor 601, when an electronic device runs, the processor 601 and the memory 602 communicate through the bus, and the processor 601 executes the machine-readable instructions to execute the steps of the electric vehicle charging behavior prediction method.
Specifically, the memory 602 and the processor 601 can be general memories and processors, which are not limited to the specific embodiments, and the method for predicting the charging behavior of the electric vehicle can be performed when the processor 601 runs a computer program stored in the memory 602.
The processor 601 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 601. The Processor 601 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 602, and the processor 601 reads the information in the memory 602 and completes the steps of the method in combination with the hardware thereof.
Corresponding to the method for predicting the charging behavior of the electric vehicle, the embodiment of the application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores machine executable instructions, and when the computer executable instructions are called and executed by a processor, the computer executable instructions cause the processor to execute the steps of the method for predicting the charging behavior of the electric vehicle.
The device for predicting the charging behavior of the electric vehicle provided by the embodiment of the application can be specific hardware on the device, or software or firmware installed on the device, and the like. The device provided by the embodiment of the present application has the same implementation principle and technical effect as the foregoing method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiments where no part of the device embodiments is mentioned. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
For another example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that contribute to the prior art in essence may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method for predicting charging behavior of an electric vehicle according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the scope of the embodiments of the present application. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (14)

1. A method for predicting charging behavior of an electric vehicle is characterized by comprising the following steps:
obtain the historical habit of charging that the car owner charges to electric automobile, wherein, historical charging habit includes: whether a charging place is fixed, whether the time for starting charging is fixed, and whether a charging start SOC interval is fixed;
acquiring the current position, the current time and the current battery SOC of the electric automobile during the trip;
determining whether the current trip of the electric vehicle conforms to the historical charging habit or not based on the current position, the current time and the current battery SOC;
and if so, determining that the travel of the electric automobile carries the charging intention.
2. The method of claim 1, further comprising:
if the fact that the current trip of the electric automobile does not accord with the historical charging habit is determined, whether the current trip of the electric automobile carries the charging intention or not cannot be determined.
3. The method of claim 1, wherein obtaining historical charging habits of an owner of the vehicle for charging the electric vehicle comprises:
acquiring historical travel data and historical charging data of the electric automobile;
constructing a travel track network according to the historical travel data, wherein the travel track network comprises: a plurality of nodes and connections between nodes, each of said nodes representing any of: the system comprises a trip starting point, a trip end point and a trip intersection point, wherein the distance and the speed between two nodes connected with the trip starting point, the trip end point and the trip intersection point are marked on a connecting line;
according to the historical charging data, charging nodes are marked in the travel track network, and charging information of the electric vehicle at each charging node is counted, wherein the charging information comprises: charging frequency, time for starting charging, a charging starting SOC interval and a historical travel track for reaching the charging node;
and determining the historical charging habits according to the charging information of each charging node.
4. The method of claim 3, wherein if the historical charging habit is that a charging place is fixed, the time for starting charging is fixed, and a charging start SOC interval is fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time and the current battery SOC comprises:
determining whether a fixed charging node can be reached from the current position according to the historical travel track;
predicting a time to reach the fixed charging node based on the current time;
predicting a battery SOC that reaches the fixed charging node based on the current battery SOC;
if the fixed charging node can be reached from the current position, the time of reaching the fixed charging node is consistent with the time of starting charging, and the SOC of the battery reaching the fixed charging node is consistent with the charging starting SOC interval, determining that the current trip of the electric automobile is consistent with the historical charging habit;
if the fixed charging node cannot be reached from the current position, or the time for reaching the fixed charging node does not accord with the time for starting charging, or the battery SOC for reaching the fixed charging node does not accord with the charging starting SOC interval, determining that the current trip of the electric automobile does not accord with the historical charging habit.
5. The method of claim 3, wherein if the historical charging habit is that a charging place is fixed, a time for starting charging is fixed, and a charging start SOC interval is not fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC comprises:
determining whether a fixed charging node can be reached from the current position according to the historical travel track;
predicting a time to reach the fixed charging node based on the current time;
if the fixed charging node can be reached from the current position and the time for reaching the fixed charging node is consistent with the time for starting charging, determining that the current trip of the electric automobile is consistent with the historical charging habit;
and if the fixed charging node cannot be reached from the current position, or the time for reaching the fixed charging node is not consistent with the time for starting charging, determining that the travel of the electric automobile is not in line with the historical charging habit.
6. The method of claim 3, wherein if the historical charging habit is that a charging place is fixed, a time for starting charging is not fixed, and a charging start SOC interval is fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time and the current battery SOC comprises:
determining whether a fixed charging node can be reached from the current position according to the historical travel track;
predicting a battery SOC that reaches the fixed charging node based on the current battery SOC;
if the fixed charging node can be reached from the current position and the SOC of the battery reaching the fixed charging node is consistent with the charging starting SOC interval, determining that the current trip of the electric automobile is consistent with the historical charging habit;
and if the fixed charging node cannot be reached from the current position, or the SOC of the battery reaching the fixed charging node is not consistent with the charging starting SOC interval, determining that the travel of the electric automobile is not in line with the historical charging habit.
7. The method of claim 3, wherein if the historical charging habit is that a charging place is fixed, a time for starting charging is not fixed, and a charging start SOC interval is not fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC comprises:
determining whether a fixed charging node can be reached from the current position according to the historical travel track;
if the fixed charging node can be reached from the current position and the probability of reaching the fixed charging node from the current position is higher than a preset threshold value, determining that the current trip of the electric vehicle conforms to the historical charging habit;
if the fixed charging node cannot be reached from the current position, or the probability of reaching the fixed charging node from the current position is not higher than the preset threshold value, determining that the current trip of the electric vehicle does not conform to the historical charging habit.
8. The method of claim 3, wherein if the historical charging habit is that the charging place is not fixed, the time for starting charging is fixed, and the charging start SOC interval is fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time and the current battery SOC comprises:
determining whether any charging node can be reached from the current position according to the historical travel track;
predicting a time to reach the arbitrary charging node based on the current time;
predicting a battery SOC that reaches the arbitrary charging node based on the current battery SOC;
if the optional charging node can be reached from the current position, the time of reaching the optional charging node is consistent with the time of starting charging, and the SOC of the battery reaching the optional charging node is consistent with the charging starting SOC interval, determining that the current trip of the electric automobile is consistent with the historical charging habit;
if the arbitrary charging node cannot be reached from the current position, or the time of reaching the arbitrary charging node does not coincide with the time of starting charging, or the battery SOC of reaching the arbitrary charging node does not coincide with the charging starting SOC interval, determining that the current trip of the electric vehicle does not coincide with the historical charging habit.
9. The method of claim 3, wherein if the historical charging habit is that the charging place is not fixed, the time for starting charging is fixed, and the charging start SOC interval is not fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time and the current battery SOC comprises:
determining whether any charging node can be reached from the current position according to the historical travel track;
predicting a time to reach the arbitrary charging node based on the current time;
if the optional charging node can be reached from the current position and the time for reaching the optional charging node is consistent with the time for starting charging, determining that the current trip of the electric automobile is consistent with the historical charging habit;
and if the optional charging node cannot be reached from the current position, or the time for reaching the optional charging node does not accord with the time for starting charging, determining that the current trip of the electric automobile does not accord with the historical charging habit.
10. The method of claim 3, wherein if the historical charging habit is that the charging place is not fixed, the time for starting charging is not fixed, and the charging start SOC interval is fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time and the current battery SOC comprises:
determining whether any charging node can be reached from the current position according to the historical travel track;
predicting a battery SOC that reaches the arbitrary charging node based on the current battery SOC;
if the optional charging node can be reached from the current position and the SOC of the battery reaching the optional charging node is consistent with the initial charging SOC interval, determining that the current trip of the electric vehicle is consistent with the historical charging habit;
and if the optional charging node cannot be reached from the current position, or the SOC of the battery reaching the optional charging node is not consistent with the initial charging SOC interval, determining that the trip of the electric vehicle is not in line with the historical charging habit.
11. The method of claim 1, wherein if the historical charging habit is that a charging place is not fixed, a time for starting charging is not fixed, and a charging start SOC interval is not fixed, and determining whether the current trip of the electric vehicle conforms to the historical charging habit based on the current position, the current time, and the current battery SOC comprises:
determining that the current trip of the electric vehicle does not conform to the historical charging habit based on the current position, the current time and the current battery SOC.
12. An apparatus for predicting charging behavior of an electric vehicle, comprising:
the first acquisition unit is used for acquiring the historical charging habit of a vehicle owner for charging the electric vehicle, wherein the historical charging habit comprises: whether a charging place is fixed, whether the time for starting charging is fixed, and whether a charging start SOC interval is fixed;
the second obtaining unit is used for obtaining the current position, the current time and the current battery SOC of the electric automobile during the trip;
a first determining unit, configured to determine whether the current trip of the electric vehicle conforms to the historical charging habit based on the current location, the current time, and the current battery SOC;
and the second determination unit is used for determining that the current trip of the electric automobile carries the charging intention if the current trip of the electric automobile meets the requirement.
13. An electronic device comprising a memory and a processor, wherein the memory stores a computer program operable on the processor, and wherein the processor implements the steps of the method of any of claims 1 to 11 when executing the computer program.
14. A computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to execute the method of any of claims 1 to 11.
CN202011275166.6A 2020-11-13 2020-11-13 Method and device for predicting charging behavior of electric vehicle and electronic equipment Pending CN112435053A (en)

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CN111815017A (en) * 2020-05-29 2020-10-23 国网山东省电力公司经济技术研究院 Electric vehicle charging load prediction method based on travel data
CN111784027A (en) * 2020-06-04 2020-10-16 国网上海市电力公司 Urban range electric vehicle charging demand prediction method considering geographic information

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CN112498132A (en) * 2020-11-24 2021-03-16 北京车和家信息技术有限公司 Vehicle charging intention determining method and device and vehicle
CN113246799A (en) * 2021-05-25 2021-08-13 济南臻真技术研究所 Method, system and storage medium for providing triggering of vehicle battery temperature regulation
WO2022247836A1 (en) * 2021-05-25 2022-12-01 济南臻真技术研究所 Method and system for providing trigger for battery temperature regulation of vehicle, and storage medium

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