Intelligent charging method and system based on autonomous vehicle

Abstract

The invention relates to an intelligent charging method and system based on an automatic driving vehicle. The method comprises the steps that a target charging vehicle is charged according to a charging instruction; according to the historical charging data of the target charging pile, the charging frequency of the target charging pile in each unit time is predicted, and the operation state of the anti-theft lock control system is determined according to the charging frequency; in the charging process, when the anti-theft lock control system is in an awakening state, position information of a user is obtained in real time based on the permission granted by the user; and judging whether to open the anti-theft lock according to the position information of the user. The charging pile in the high-frequency state is used for charging, and when a user is away from a target charging vehicle, other people can be effectively prevented from maliciously pulling up the charging gun; meanwhile, when the user gets close to the target charging vehicle, the anti-theft lock is closed, and the situation that a vehicle owner forgets to open the anti-theft lock and pulls out a charging head violently, and consequently a charging port is damaged can be effectively avoided.

Description

Technical Field

[0001] The present invention relates to the field of vehicle intelligent charging technology, and specifically to an intelligent charging method and system based on an autonomous driving vehicle. Background Art

[0002] The intelligent charging method and system of autonomous driving vehicles are gradually formed with the rapid development of new energy vehicles, artificial intelligence, the Internet of Things and autonomous driving technology. Technological progress in this field has not only promoted the popularization of new energy vehicles, but also greatly improved the convenience, safety and efficiency of charging. In the existing intelligent charging method, if the anti-theft lock is not turned on during the charging process, there is a situation where the charging gun is maliciously unplugged by others. After the anti-theft lock is turned on, there is a phenomenon that the owner forgets that the anti-theft lock has been turned on and violently pulls out the charging head, causing damage to the charging port. Therefore, the present invention proposes an intelligent charging method and system based on autonomous driving vehicles to solve the above problems. Summary of the invention

[0003] In view of the above-mentioned problems, the present invention proposes an intelligent charging method and system based on an autonomous driving vehicle.

[0004] To achieve the above object, the present invention provides the following technical solutions: A smart charging method based on an autonomous driving vehicle, the method comprising the following steps: Under the condition that the charging gun of the target charging pile is connected to the charging port of the target charging vehicle, the charging instruction sent by the user mobile terminal is used to charge the target charging vehicle according to the charging instruction; Predicting the number of times the target charging pile is charged in each unit time according to the historical charging data of the target charging pile, and determining the operating state of the anti-theft lock control system according to the charging number, wherein the operating state includes a wake-up state and a sleep state; During the charging process, when the anti-theft lock control system is in the awake state, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time based on the authority granted by the user; whether to turn on the anti-theft lock is determined according to the user's location information; when the anti-theft lock is turned on, it is used to prevent the user from unplugging the charging gun, and when the anti-theft lock is turned off, the user is allowed to unplug the charging gun; When charging is finished, if the anti-theft lock is on, it will be automatically closed.

[0005] As a further technical solution of the present invention, the step of predicting the number of charging times of the target charging pile in each unit time according to the historical charging data of the target charging pile, and determining the operating state of the anti-theft lock control system according to the charging number, wherein the operating state includes the awakening state and the sleeping state, comprises: Obtaining historical charging data of a target charging pile, wherein the historical charging data includes the number of charging times per unit time; The historical charging data of the target charging pile is used to train the neural network model to obtain a charging number prediction model, and the charging number of the target charging pile in each unit time is predicted according to the charging number prediction model; Determine the use state of the target charging pile according to the number of charging times of the target charging pile, wherein the use state includes a high frequency state and a low frequency state; When the target charging pile is in a low-frequency state, the anti-theft lock control system is in a sleep state, and there is no need to obtain the user's location information at this time; When the target charging pile is in a high-frequency state, the anti-theft lock control system is in an awake state, and the user's location information needs to be obtained at this time.

[0006] As a further technical solution of the present invention, the step of determining the usage status of the target charging pile according to the number of charging times of the target charging pile includes: When the charging times of the target charging pile exceeds a preset times threshold, determining that the usage state of the target charging pile is a high-frequency state; When the charging times of the target charging pile does not exceed the preset times threshold, the usage status of the target charging pile is determined to be a low-frequency state. The preset times threshold can be 4 times. The specific value can be set according to the actual situation, usually any integer value between 3 and 5 times.

[0007] As a further technical solution of the present invention, during the charging process, when the anti-theft lock control system is in the awake state, based on the authority granted by the user, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time; and the step of determining whether to open the anti-theft lock according to the user's location information includes: During the charging process, when the anti-theft lock control system is in the awake state, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time based on the authority granted by the user; Obtaining the location information of the target charging vehicle, and calculating the distance between the user and the target charging vehicle based on the user's location information and the location information of the target charging vehicle; When the distance exceeds the preset safety range, the anti-theft lock is automatically opened; When the distance is within a preset safety range, the anti-theft lock is automatically closed; when the anti-theft lock is turned on, it is used to prevent the user from unplugging the charging gun, and when the anti-theft lock is turned off, it allows the user to unplug the charging gun.

[0008] Another object of the present invention is to provide an intelligent charging system based on an autonomous driving vehicle, the system comprising: A charging instruction execution module is used to charge the target charging vehicle according to the charging instruction sent by the user mobile terminal under the condition that the charging gun of the target charging pile is connected to the charging port of the target charging vehicle; An operation status determination module is used to predict the number of charging times of the target charging pile in each unit time according to the historical charging data of the target charging pile, and determine the operation status of the anti-theft lock control system according to the charging times, and the operation status includes awakening state and sleeping state; The anti-theft lock control module is used to obtain the location information of the user's mobile terminal, that is, the user's location information, in real time based on the authority granted by the user during the charging process and when the anti-theft lock control system is in the awake state; and determine whether to open the anti-theft lock according to the user's location information; The anti-theft lock closing module is used to automatically close the anti-theft lock if the anti-theft lock is in the open state when charging is completed.

[0009] As a further technical solution of the present invention, the operating state determination module includes: A historical data acquisition unit, used to acquire historical charging data of a target charging pile, wherein the historical charging data includes the number of charging times per unit time; A charging times prediction unit, used to train a neural network model using historical charging data of a target charging pile to obtain a charging times prediction model, and to predict the charging times of the target charging pile in each unit time according to the charging times prediction model; A usage status determination unit, configured to determine a usage status of a target charging pile according to the number of times the target charging pile is charged, wherein the usage status includes a high frequency state and a low frequency state; A sleep state determination unit, used to put the anti-theft lock control system into a sleep state when the use state of the target charging pile is a low-frequency state, and there is no need to obtain the user's location information at this time; The awakening state determination unit is used to put the anti-theft lock control system into an awakening state when the use state of the target charging pile is a high-frequency state, and at this time, the user's location information needs to be obtained.

[0010] As a further technical solution of the present invention, the anti-theft lock control module includes: A location information acquisition unit, used to acquire the location information of the user's mobile terminal, that is, the user's location information, in real time based on the authority granted by the user during the charging process and when the anti-theft lock control system is in the awake state; A distance information calculation unit, used to obtain the location information of the target charging vehicle, and calculate the distance between the user and the target charging vehicle according to the location information of the user and the location information of the target charging vehicle; An anti-theft lock opening unit, used to automatically open the anti-theft lock when the distance exceeds a preset safety range; The anti-theft lock closing unit is used to automatically close the anti-theft lock when the distance is within a preset safety range; the anti-theft lock is used to prevent the user from unplugging the charging gun when it is turned on, and allows the user to unplug the charging gun when it is turned off.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides an intelligent charging method and system based on an autonomous driving vehicle, in which the number of charging times of the target charging pile in each unit time is predicted based on the historical charging data of the target charging pile, the use status of the target charging pile is determined based on the number of charging times of the target charging pile, and then the operation status of the anti-theft lock control system is determined based on the use status of the target charging pile, and during the charging process, when the anti-theft lock control system is in the awakened state, it is determined whether to turn on the anti-theft lock based on the user's location information. The present invention realizes charging with a charging pile in a high-frequency state, and when the user is away from the target charging vehicle, it can effectively prevent others from maliciously unplugging the charging gun; at the same time, when the user is close to the target charging vehicle, the anti-theft lock is turned off, which can effectively prevent the owner from forgetting that the anti-theft lock has been turned on and violently pulling out the charging head, resulting in damage to the charging port. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 The present invention is a flowchart of a smart charging method based on an autonomous driving vehicle.

[0013] Figure 2 The present invention is a flowchart of the steps of determining the operating status of an anti-theft lock control system in an intelligent charging method based on an autonomous driving vehicle.

[0014] Figure 3 The present invention is a flowchart of the steps of controlling the opening and closing of an anti-theft lock in a smart charging method based on an autonomous driving vehicle.

[0015] Figure 4 The figure is a structural block diagram of an intelligent charging system based on an autonomous driving vehicle. DETAILED DESCRIPTION

[0016] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] like Figure 1 As shown, an embodiment of the present invention provides a smart charging method based on an autonomous driving vehicle, the method comprising the following steps: Step S100, under the condition that the charging gun of the target charging pile is connected to the charging port of the target charging vehicle, the user mobile terminal sends a charging instruction, and the target charging vehicle is charged according to the charging instruction. The charging instruction carries vehicle information, target charging pile information, charging time, charging mode and user information. The vehicle information includes the license plate number and vehicle model, the target charging pile information includes the location information of the charging pile and the numbering information of the charging pile, the charging mode includes fast charging and slow charging, and the user information includes the user's identity information and contact information; Step S200, predicting the number of charging times of the target charging pile in each unit time according to the historical charging data of the target charging pile, and determining the operating state of the anti-theft lock control system according to the charging number, wherein the operating state includes an awake state and a sleep state. When the operating state of the anti-theft lock control system is the awake state, the system can automatically control the opening and closing of the anti-theft lock; when the operating state of the anti-theft lock control system is the sleep state, the system cannot automatically control the opening and closing of the anti-theft lock, and the anti-theft lock needs to be opened and closed manually; Step S300, during the charging process, when the anti-theft lock control system is in the awake state, based on the authority granted by the user, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time; and according to the user's location information, it is determined whether to turn on the anti-theft lock; when the anti-theft lock is turned on, it is used to prevent the user from unplugging the charging gun, and when the anti-theft lock is turned off, it allows the user to unplug the charging gun; Step S400: When charging is finished, if the anti-theft lock is in the on state, the anti-theft lock is automatically closed.

[0018] In this embodiment, the number of charging times of the target charging pile in each unit time is predicted based on the historical charging data of the target charging pile, and the operating state of the anti-theft lock control system is determined based on the charging number. During the charging process, when the anti-theft lock control system is in the awake state, it is determined whether to turn on the anti-theft lock based on the user's location information. The present invention realizes charging with a charging pile in a high-frequency state, and when the user is far away from the target charging vehicle, it can effectively prevent others from maliciously unplugging the charging gun; at the same time, when the user is close to the target charging vehicle, the anti-theft lock is turned off, which can effectively prevent the owner from forgetting that the anti-theft lock has been turned on and violently unplugging the charging head, resulting in damage to the charging port.

[0019] See also Figure 2 As a preferred embodiment of the present invention, the step of predicting the number of charging times of the target charging pile in each unit time according to the historical charging data of the target charging pile, and determining the operating state of the anti-theft lock control system according to the charging number, wherein the operating state includes the awakening state and the sleeping state, comprises: Step S201, obtaining historical charging data of a target charging pile, wherein the historical charging data includes the number of charging times per unit time, and the unit time may be one day, one week, or one month; Step S202: Use the historical charging data of the target charging pile to train the neural network model to obtain a charging times prediction model, and predict the charging times of the target charging pile in each unit time according to the charging times prediction model, wherein the neural network structure can be a multi-layer perceptron (MLP) or a long short-term memory network (LSTM); divide the historical charging data into a training set, a validation set, and a test set. Use the training set to train the model, and when the result output by the model reaches a preset threshold, it is determined that the training is completed, and a trained charging times prediction model is obtained; Step S203, determining the use state of the target charging pile according to the number of times the target charging pile is charged, and the use state includes a high-frequency state and a low-frequency state; wherein, when the number of times the target charging pile is charged exceeds a preset number threshold, the use state of the target charging pile is determined to be a high-frequency state, and when the number of times the target charging pile is charged does not exceed the preset number threshold, the use state of the target charging pile is determined to be a low-frequency state, and the preset number threshold may be 4 times, and the specific value may be set according to the actual situation, and is usually any integer value between 3 and 5 times; Step S204, when the use state of the target charging pile is a low-frequency state, the anti-theft lock control system is in a sleep state, and it is not necessary to obtain the user's location information at this time; Step S205, when the use state of the target charging pile is a high-frequency state, the anti-theft lock control system is in an awake state, and the user's location information needs to be obtained at this time.

[0020] In this embodiment, the number of charging times of the target charging pile in the current unit time is predicted, and the usage status of the target charging pile is determined by the predicted number of charging times. When the usage status of the target charging pile is a high-frequency state, the anti-theft lock control system is in an awake state, and the anti-theft lock is automatically controlled to be opened and closed, effectively preventing others from maliciously unplugging the charging gun; when the usage status of the target charging pile is a low-frequency state, the anti-theft lock control system is in a sleep state. At this time, it is predicted that the usage demand of the target charging pile is low. At this time, the anti-theft lock is not automatically controlled, but is manually controlled to be opened and closed according to user needs.

[0021] See also Figure 3 As a preferred embodiment of the present invention, during the charging process, when the anti-theft lock control system is in the awake state, based on the authority granted by the user, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time; and the step of determining whether to open the anti-theft lock according to the user's location information includes: Step S301, during the charging process, when the anti-theft lock control system is in the awake state, based on the authority granted by the user, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time; Step S302, obtaining the location information of the target charging vehicle, and calculating the distance between the user and the target charging vehicle according to the location information of the user and the location information of the target charging vehicle; Step S303, when the distance exceeds a preset safety range, the anti-theft lock is automatically opened, wherein the preset safety range may be 10 meters or 20 meters, and the specific value is set according to actual needs; Step S304, when the distance is within a preset safety range, the anti-theft lock is automatically closed; when the anti-theft lock is turned on, it is used to prevent the user from unplugging the charging gun, and when the anti-theft lock is turned off, it allows the user to unplug the charging gun.

[0022] In this embodiment, during the charging process, when the anti-theft lock control system is in the awake state, it is determined whether to turn on the anti-theft lock according to the distance between the user and the target charging vehicle. The present invention realizes charging with a charging pile in a high-frequency state, and when the user is far away from the target charging vehicle, it can effectively prevent others from maliciously unplugging the charging gun; at the same time, when the user is close to the target charging vehicle, the anti-theft lock is turned off, which can effectively prevent the owner from forgetting that the anti-theft lock has been turned on and forcibly unplugging the charging head, resulting in damage to the charging port.

[0023] See also Figure 4 Another object of the present invention is to provide an intelligent charging system based on an autonomous driving vehicle, the system comprising: The charging instruction execution module 100 is used to charge the target charging vehicle according to the charging instruction sent by the user mobile terminal under the condition that the charging gun of the target charging pile is connected to the charging port of the target charging vehicle. The charging instruction carries vehicle information, target charging pile information, charging time, charging mode and user information. The vehicle information includes the license plate number and vehicle model, the target charging pile information includes the location information of the charging pile and the number information of the charging pile, the charging mode includes fast charging and slow charging, and the user information includes the user's identity information and contact information; The operation state determination module 200 is used to predict the number of charging times of the target charging pile in each unit time according to the historical charging data of the target charging pile, and determine the operation state of the anti-theft lock control system according to the charging number, and the operation state includes the awake state and the sleep state; The anti-theft lock control module 300 is used to obtain the location information of the user's mobile terminal, that is, the user's location information, in real time based on the authority granted by the user during the charging process and when the anti-theft lock control system is in the awake state; and determine whether to open the anti-theft lock according to the user's location information; The anti-theft lock closing module 400 is used to automatically close the anti-theft lock if the anti-theft lock is in the open state when charging is completed.

[0024] As a preferred embodiment of the present invention, the operating state determination module 200 includes: A historical data acquisition unit, used to acquire historical charging data of a target charging pile, wherein the historical charging data includes the number of charging times per unit time, and the unit time may be one day, one week, or one month; A charging times prediction unit, used to train a neural network model using historical charging data of a target charging pile to obtain a charging times prediction model, and to predict the charging times of the target charging pile in each unit time according to the charging times prediction model; A usage status determination unit, configured to determine a usage status of a target charging pile according to the number of times the target charging pile is charged, wherein the usage status includes a high frequency state and a low frequency state; A sleep state determination unit, used to put the anti-theft lock control system into a sleep state when the use state of the target charging pile is a low-frequency state, and there is no need to obtain the user's location information at this time; The awakening state determination unit is used to put the anti-theft lock control system into an awakening state when the use state of the target charging pile is a high-frequency state, and at this time, the user's location information needs to be obtained.

[0025] As a preferred embodiment of the present invention, the anti-theft lock control module 300 includes: A location information acquisition unit, used to acquire the location information of the user's mobile terminal, that is, the user's location information, in real time based on the authority granted by the user during the charging process and when the anti-theft lock control system is in the awake state; A distance information calculation unit, used to obtain the location information of the target charging vehicle, and calculate the distance between the user and the target charging vehicle according to the location information of the user and the location information of the target charging vehicle; An anti-theft lock opening unit, used to automatically open the anti-theft lock when the distance exceeds a preset safety range; The anti-theft lock closing unit is used to automatically close the anti-theft lock when the distance is within a preset safety range; the anti-theft lock is used to prevent the user from unplugging the charging gun when it is turned on, and allows the user to unplug the charging gun when it is turned off.

[0026] It should be noted that, in this article, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0027] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A smart charging method based on an autonomous driving vehicle, characterized in that: The method comprises the following steps: Under the condition that the charging gun of the target charging pile is connected to the charging port of the target charging vehicle, the charging instruction sent by the user mobile terminal is used to charge the target charging vehicle according to the charging instruction; Predicting the number of times the target charging pile is charged in each unit time according to the historical charging data of the target charging pile, and determining the operating state of the anti-theft lock control system according to the charging number, wherein the operating state includes a wake-up state and a sleep state; During the charging process, when the anti-theft lock control system is in the awake state, based on the permissions granted by the user, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time; and whether to open the anti-theft lock is determined according to the user's location information; When charging is finished, if the anti-theft lock is on, it will be automatically closed.

2. The intelligent charging method based on an autonomous driving vehicle according to claim 1, characterized in that: The step of predicting the number of charging times of the target charging pile in each unit time according to the historical charging data of the target charging pile, and determining the operating state of the anti-theft lock control system according to the charging number, wherein the operating state includes the awakening state and the sleeping state, comprises: Obtaining historical charging data of a target charging pile, wherein the historical charging data includes the number of charging times per unit time; The historical charging data of the target charging pile is used to train the neural network model to obtain a charging number prediction model, and the charging number of the target charging pile in each unit time is predicted according to the charging number prediction model; Determine the use state of the target charging pile according to the number of charging times of the target charging pile, wherein the use state includes a high frequency state and a low frequency state; When the target charging pile is in a low-frequency state, the anti-theft lock control system is in a sleep state, and there is no need to obtain the user's location information at this time; When the target charging pile is in a high-frequency state, the anti-theft lock control system is in an awake state, and the user's location information needs to be obtained at this time.

3. The intelligent charging method based on an autonomous driving vehicle according to claim 2, characterized in that: The step of determining the usage status of the target charging pile according to the number of charging times of the target charging pile comprises: When the charging times of the target charging pile exceeds a preset times threshold, determining that the usage state of the target charging pile is a high-frequency state; When the charging times of the target charging pile does not exceed the preset times threshold, it is determined that the usage state of the target charging pile is a low-frequency state.

4. The intelligent charging method based on an autonomous driving vehicle according to claim 1, characterized in that: During the charging process, when the anti-theft lock control system is in the awake state, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time based on the authority granted by the user; The steps of determining whether to open the anti-theft lock according to the user's location information include: During the charging process, when the anti-theft lock control system is in the awake state, the location information of the user's mobile terminal, that is, the user's location information, is obtained in real time based on the authority granted by the user; Obtaining the location information of the target charging vehicle, and calculating the distance between the user and the target charging vehicle based on the user's location information and the location information of the target charging vehicle; When the distance exceeds the preset safety range, the anti-theft lock is automatically opened; When the distance is within a preset safety range, the anti-theft lock is automatically closed; when the anti-theft lock is turned on, it is used to prevent the user from unplugging the charging gun, and when the anti-theft lock is turned off, it allows the user to unplug the charging gun.

5. An intelligent charging system based on an autonomous driving vehicle, characterized in that: The system comprises: A charging instruction execution module is used to charge the target charging vehicle according to the charging instruction sent by the user mobile terminal under the condition that the charging gun of the target charging pile is connected to the charging port of the target charging vehicle; An operation status determination module is used to predict the number of charging times of the target charging pile in each unit time according to the historical charging data of the target charging pile, and determine the operation status of the anti-theft lock control system according to the charging times, wherein the operation status includes a wake-up state and a sleep state; The anti-theft lock control module is used to obtain the location information of the user's mobile terminal, that is, the user's location information, in real time based on the user's granted authority during the charging process and when the anti-theft lock control system is in the awake state; and determine whether to open the anti-theft lock according to the user's location information; The anti-theft lock closing module is used to automatically close the anti-theft lock if the anti-theft lock is in the open state when charging is completed.

6. The intelligent charging system based on an autonomous driving vehicle according to claim 5, characterized in that: The operating status determination module comprises: A historical data acquisition unit, used to acquire historical charging data of a target charging pile, wherein the historical charging data includes the number of charging times per unit time; A charging times prediction unit, used to train a neural network model using historical charging data of a target charging pile to obtain a charging times prediction model, and to predict the charging times of the target charging pile in each unit time according to the charging times prediction model; A usage status determination unit, configured to determine a usage status of a target charging pile according to the number of times the target charging pile is charged, wherein the usage status includes a high frequency state and a low frequency state; A sleep state determination unit, used to put the anti-theft lock control system into a sleep state when the use state of the target charging pile is a low-frequency state, and there is no need to obtain the user's location information at this time; The awakening state determination unit is used to put the anti-theft lock control system into an awakening state when the use state of the target charging pile is a high-frequency state, and at this time, the user's location information needs to be obtained.

7. The intelligent charging system based on an autonomous driving vehicle according to claim 5, characterized in that: The anti-theft lock control module includes: A location information acquisition unit, used to acquire the location information of the user's mobile terminal, that is, the user's location information, in real time based on the authority granted by the user during the charging process and when the anti-theft lock control system is in the awake state; A distance information calculation unit, used to obtain the location information of the target charging vehicle, and calculate the distance between the user and the target charging vehicle according to the location information of the user and the location information of the target charging vehicle; An anti-theft lock opening unit, used to automatically open the anti-theft lock when the distance exceeds a preset safety range; The anti-theft lock closing unit is used to automatically close the anti-theft lock when the distance is within a preset safety range; the anti-theft lock is used to prevent the user from unplugging the charging gun when it is turned on, and allows the user to unplug the charging gun when it is turned off.

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