CN116691422A - Charging duration prediction method and device, electronic equipment and storage medium - Google Patents

Abstract

According to the charging duration prediction method, the charging duration prediction device, the electronic equipment and the storage medium, the first charging information and the first discharging duration of the target vehicle are obtained, and the first discharging duration represents the duration of the target vehicle running to the charging equipment; obtaining a first charging duration according to the first charging information, wherein the first charging duration represents the consumed charging duration when the charging equipment charges the target vehicle to the target state based on the first charging information; and obtaining a first predicted time length according to the first discharging time length and the first charging time length. On the basis of obtaining the corresponding first charging duration through the first charging information, the first predicted duration is obtained by combining the first discharging duration representing the time consumption of the target vehicle to travel to the charging equipment, and the first predicted duration represents the total duration required by the whole charging process of the target vehicle, so that the method is closer to the actual time consumption of the target vehicle in the charging process, the problem of inaccurate predicted charging duration is solved, and the accuracy of charging duration prediction is improved.

Description

Charging duration prediction method and device, electronic equipment and storage medium

Technical Field

The present application relates to the field of vehicle technologies, and in particular, to a method and apparatus for predicting a charging duration, an electronic device, and a storage medium.

Background

Currently, more and more people select electric vehicles for traveling, the electric vehicles adopt a storage battery as a power source, and electric energy is released through the storage battery to drive a motor to run so as to realize vehicle traveling, so that the vehicles are often required to be charged in the using process.

At present, in the prior art, the charging time of the vehicle in the current state can be predicted through the historical charging information of the vehicle, so that the vehicle is provided for a user, and the use experience of the user is improved.

However, when the situation that the vehicle needs to be charged is encountered during the running process of the vehicle, the initial residual capacity of the vehicle is affected by the running environment and is inconsistent with the target residual capacity when the vehicle arrives at the charging station, so that the predicted charging time length is different from the actual charging time length, and the charging time length prediction accuracy is low.

Disclosure of Invention

The application provides a charging duration prediction method, a charging duration prediction device, electronic equipment and a storage medium, which are used for solving the problem of low accuracy of charging duration prediction.

In a first aspect, the present application provides a method for predicting a charging duration, including: acquiring first charging information and first discharging duration of a target vehicle, wherein the first charging information represents the charging capability of charging equipment for charging the target vehicle, and the first discharging duration represents the duration of the target vehicle running to the charging equipment; obtaining a first charging duration according to the first charging information, wherein the first charging duration represents the consumed charging duration when the charging equipment charges the target vehicle to a target state based on the charging capacity corresponding to the first charging information; obtaining a first predicted duration according to the first discharging duration and the first charging duration, wherein the first predicted duration represents the total duration of the target vehicle after one-time charging through the charging equipment.

In one possible implementation manner, the obtaining a first charging duration according to the first charging information includes: acquiring a charging model corresponding to the first charging information, wherein the charging model represents a mapping relation between real-time charging power of the charging equipment and target residual electric quantity of the target vehicle when the charging equipment charges the target vehicle, and the target residual electric quantity represents the residual electric quantity when the target vehicle runs to the charging equipment; and obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model.

In one possible implementation, the method further includes: acquiring a charging type of the target vehicle, wherein the charging type represents allowable charging power of the target vehicle when the target vehicle is charged based on the charging equipment; the obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model includes: and obtaining a first charging duration according to the target residual capacity of the target vehicle, the charging type of the target vehicle and the charging model.

In one possible implementation, obtaining the first discharge duration includes: acquiring first information corresponding to the charging equipment according to a first position of the target vehicle, wherein the first information represents a power consumption coefficient affecting the target vehicle in the running process; and obtaining the first discharge duration according to the first information.

In one possible implementation, the method further includes: obtaining a first driving path according to a first position of the target vehicle and a second position of the charging equipment; and obtaining first information corresponding to the charging equipment according to the running environment corresponding to the first running path.

In one possible implementation manner, the obtaining a first predicted duration according to the first discharging duration and the corresponding first charging duration includes: acquiring waiting time of the target vehicle at the charging equipment; and obtaining the first predicted time length according to the waiting time length, the first discharging time length and the first charging time length.

In one possible implementation, the method further includes: acquiring a first battery health degree SOH before charging and a second battery health degree SOH after charging of the target vehicle; obtaining a health degree difference value according to the first battery health degree SOH and the second battery health degree SOH, wherein the health degree difference value represents the battery damage degree of charging operation to the target vehicle; the obtaining a first charging duration according to the first charging information includes: and obtaining the first charging duration according to the first charging information and the health degree difference value.

In a second aspect, the present application provides a charging duration prediction apparatus, including:

the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring first charging information and first discharging duration of a target vehicle, the first charging information represents the charging capability of charging equipment for charging the target vehicle, and the first discharging duration represents the duration of the target vehicle running to the charging equipment;

the first processing module is used for obtaining a first charging duration according to the first charging information, wherein the first charging duration represents the consumed charging duration when the charging equipment charges the target vehicle to a target state based on the charging capacity corresponding to the first charging information;

the second processing module is used for obtaining a first predicted duration according to the first discharging duration and the first charging duration, and the first predicted duration represents the total duration of the target vehicle after one-time charging through the charging equipment.

In one possible implementation manner, when the first processing module obtains a first charging duration according to the first charging information, the first processing module is specifically configured to: acquiring a charging model corresponding to the first charging information, wherein the charging model represents a mapping relation between real-time charging power of the charging equipment and target residual electric quantity of the target vehicle when the charging equipment charges the target vehicle, and the target residual electric quantity represents the residual electric quantity when the target vehicle runs to the charging equipment; and obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model.

In one possible implementation, the first processing module is further configured to: acquiring a charging type of the target vehicle, wherein the charging type represents allowable charging power of the target vehicle when the target vehicle is charged based on the charging equipment; the obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model includes: and obtaining a first charging duration according to the target residual capacity of the target vehicle, the charging type of the target vehicle and the charging model.

In one possible implementation manner, the obtaining module is specifically configured to, when obtaining the first discharge duration: acquiring first information corresponding to the charging equipment according to a first position of the target vehicle, wherein the first information represents a power consumption coefficient affecting the target vehicle in the running process; and obtaining the first discharge duration according to the first information.

In one possible implementation, the obtaining module is further configured to: obtaining a first driving path according to a first position of the target vehicle and a second position of the charging equipment; and obtaining first information corresponding to the charging equipment according to the running environment corresponding to the first running path.

In one possible implementation manner, when the second processing module obtains the first predicted duration according to the first discharging duration and the corresponding first charging duration, the second processing module is specifically configured to: acquiring waiting time of the target vehicle at the charging equipment; and obtaining the first predicted time length according to the waiting time length, the first discharging time length and the first charging time length.

In one possible implementation, the first processing module is further configured to: acquiring a first battery health degree SOH before charging and a second battery health degree SOH after charging of the target vehicle; obtaining a health degree difference value according to the first battery health degree SOH and the second battery health degree SOH, wherein the health degree difference value represents the battery damage degree of charging operation to the target vehicle; the obtaining a first charging duration according to the first charging information includes: and obtaining the first charging duration according to the first charging information and the health degree difference value.

In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

The processor executes the computer-executable instructions stored in the memory to implement the method for predicting the charging duration according to any one of the first aspect of the embodiments of the present application.

In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions which, when executed by a processor, are configured to implement a method for predicting a charging duration according to any one of the first aspects of the embodiments of the present application.

According to a fifth aspect of embodiments of the present application, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of predicting a charge duration as in any one of the first aspects above.

According to the charging duration prediction method, the charging duration prediction device, the electronic equipment and the storage medium, the first charging information and the first discharging duration of the target vehicle are obtained, the first charging information represents the charging capacity of the charging equipment for charging the target vehicle, and the first discharging duration represents the duration of the target vehicle running to the charging equipment; obtaining a first charging duration according to the first charging information, wherein the first charging duration represents the consumed charging duration when the charging equipment charges the target vehicle to a target state based on the charging capacity corresponding to the first charging information; obtaining a first predicted duration according to the first discharging duration and the first charging duration, wherein the first predicted duration represents the total duration of the target vehicle after one-time charging through the charging equipment. On the basis of obtaining the corresponding first charging duration through the first charging information, the first predicted duration is obtained by combining the first discharging duration representing the time consumption of the target vehicle to travel to the charging equipment, and the first predicted duration represents the total duration required by the whole charging process of the target vehicle, so that the method is closer to the actual time consumption of the target vehicle in the charging process, the problem of inaccurate predicted charging duration is solved, and the accuracy and the effectiveness of charging duration prediction are improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

Fig. 1 is an application scenario diagram of a charging duration prediction method provided by an embodiment of the present application;

FIG. 2 is a flowchart of a method for predicting a charging duration according to an embodiment of the present application;

FIG. 3 is a schematic diagram illustrating steps for implementing step S102 in the embodiment shown in FIG. 2;

FIG. 4 is a schematic diagram illustrating steps for implementing step S1022 in the embodiment shown in FIG. 3;

FIG. 5 is a schematic diagram illustrating steps for implementing step S103 in the embodiment shown in FIG. 2;

FIG. 6 is a flowchart of a method for predicting a charging duration according to another embodiment of the present application;

FIG. 7 is a schematic diagram illustrating steps for implementing step S201 in the embodiment shown in FIG. 6;

fig. 8 is a schematic structural diagram of a charging duration prediction apparatus according to an embodiment of the present application;

FIG. 9 is a schematic diagram of an electronic device according to an embodiment of the present application;

fig. 10 is a block diagram of a terminal device according to an exemplary embodiment of the present application.

Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.

In the technical scheme of the application, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the personal information of the user and the data all accord with the regulations of related laws and regulations, and the public order is not violated.

It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region, and provide corresponding operation entries for the user to select authorization or rejection.

The following explains the application scenario of the embodiment of the present application:

fig. 1 is an application scenario diagram of a charging duration prediction method provided by the embodiment of the present application, where the charging duration prediction method provided by the embodiment of the present application may be applied in application scenarios such as vehicle navigation and map search, more specifically, for example, in application scenarios where a vehicle navigates to a surrounding charging device to perform charging duration prediction, for example, as shown in fig. 1, an execution subject of the method provided by the embodiment of the present application may be a vehicle device disposed in a target vehicle, and the vehicle device may search, in response to a user operation, for a location of the charging device in the surrounding prediction range through a cloud server based on a current location O of the target vehicle, and at the same time or later, the vehicle device predicts a total charging duration corresponding to each charging device based on the charging duration prediction method provided by the embodiment, for example, as shown in the figure, if it takes 60 minutes to travel to a and complete charging; if the vehicle is driven to the B charging station and the charging is completed, the time is required to be 45 minutes; it takes 72 minutes to travel to the C charging station and complete charging. And then, the vehicle-mounted equipment automatically selects the charging pile with the shortest time consumption, or selects the corresponding charging pile based on user operation and starts the corresponding navigation program.

Currently, when a user charges a vehicle, a vehicle machine device usually predicts the charging duration of the vehicle in the current state through historical charging information of the vehicle. In fact, when the vehicle needs to be charged during running of the vehicle, a certain distance exists between the vehicle and the charging equipment, and at this time, the initial predicted charging duration of the vehicle-mounted equipment is predicted based on the initial residual electric quantity of the current vehicle. However, when the vehicle travels to the charging device, the initial remaining amount of the vehicle does not coincide with the target remaining amount at the time of arrival at the charging station, thus resulting in a difference in the predicted charging period from the actual charging period, and low accuracy in the prediction of the charging period.

The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

Fig. 2 is a flowchart of a charging duration prediction method according to an embodiment of the present application, and as shown in fig. 2, the present embodiment uses a vehicle-to-machine device as an execution body of the method according to the present embodiment, and the charging duration prediction method according to the present embodiment includes the following steps:

Step S101, obtaining first charging information and a first discharging duration of the target vehicle, where the first charging information represents a charging capability of the charging device to charge the target vehicle, and the first discharging duration represents a duration of running of the target vehicle to the charging device.

The first charging information is indicative of a charging capability of the charging device to charge the target vehicle, for example, a quick charge function, a slow charge function, an automatic battery identification function, an overcharge protection function, and the like, which the charging device is capable of providing for the target vehicle. The first charging information is preset information, and the vehicle-mounted device can obtain the first charging information by accessing the cloud server or reading off-line data stored locally. More specifically, the first charging information corresponds to the charging devices one by one, and in one possible implementation manner, the first charging information may be a fixed value determined based on the vehicle information of the target vehicle and the device information of the charging devices, for example, the vehicle information of the target vehicle includes a vehicle brand car_a, the device information of the charging devices includes a model_1 of the charging devices, and the vehicle equipment obtains the corresponding first charging information info_1 based on the vehicle brand car_a and the model_1.

In another possible implementation, the first charging information may be determined based on a history of charging of the target vehicle at the charging device. The first charging information is updated after each charging of the target vehicle and stored in the cloud server or local to the target vehicle.

The first discharge time period is, for example, a time period required for the target vehicle to travel from the current position to the charging device, and in one possible implementation, may be determined based on the position of the target vehicle and the position of the charging device. For example, in a prescribed route, the vehicle-mounted device obtains the current position of the target vehicle and the position of the charging device in the prescribed route by accessing the cloud server, calculates the distance to be travelled by the target vehicle from the current position to the charging device, the prescribed route prescribes the travel speed of the target vehicle, eliminates the influence of the travel environment on the target vehicle, for example, the prescribed route only allows the target vehicle to travel, so that the travel environment of the traffic jam scene is not present, and the first discharge duration is obtained according to the ratio of the distance to be travelled by the target vehicle to the travel speed.

Step S102, obtaining a first charging duration according to the first charging information, wherein the first charging duration represents the consumed charging duration when the charging equipment charges the target vehicle to the target state based on the charging capacity corresponding to the first charging information.

The first charging information is indicative of a charging capability of the charging device to charge the target vehicle, and the target vehicle is charged based on the charging capability of the charging device until a time elapsed when the target vehicle reaches the target state, that is, a first charging period.

The first charging period is a consumed period when the target vehicle is charged to the target state based on the charging capability of the charging device. In one possible implementation manner, the charging device rapidly charges the target vehicle to a target state, for example, from 20% to 80%, and then the charging device completes charging by adopting the rapid charging function, so as to obtain a first charging duration under the rapid charging function, and records the first charging duration as a first charging duration a1. If the charging device slowly charges the battery of the target vehicle from 20% to 80%, the charging device completes charging by adopting a slow charging function, so as to obtain a first charging duration under the slow charging function, and the first charging duration is recorded as a first charging duration a2, and meanwhile, the first charging duration a1 is known to be smaller than the first charging duration a2.

Illustratively, fig. 3 is a schematic diagram of steps for implementing step S102 in the embodiment shown in fig. 2, where, as shown in fig. 3, the steps for implementing step S102 include:

step S1021, a charging model corresponding to the first charging information is obtained, the charging model represents a mapping relation between real-time charging power of the charging equipment and target residual capacity of the target vehicle when the charging equipment charges the target vehicle, and the target residual capacity represents the residual capacity of the target vehicle when the target vehicle runs to the charging equipment.

Step S1022, obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model.

The charging model is an exemplary mapping relationship model of real-time charging power of the charging device and target residual capacity of the target vehicle when the charging device charges the target vehicle, and in one possible implementation manner, the vehicle-to-machine device analyzes historical charging operation of the target vehicle to obtain a charging model set, for example, linear regression analysis is performed on historical charging power and corresponding historical residual capacity to obtain a mapping relationship of the historical charging power and the corresponding historical residual capacity, namely, a charging model set is obtained, and a plurality of charging models are in the charging model set based on different mapping relationships.

Illustratively, the first charging information corresponds to the identification information in the charging model set one by one, and the charging models in the charging model set are determined according to the first charging information and the corresponding identification information. In one possible implementation manner, the identification information in the charging model set includes label_1, label_2 and label_3, and the charging models corresponding to the identification information include sys_1, sys_2 and sys_3. According to the first charging information info_1 corresponding to the identification information label_1, since the identification information label_1 is the identification information of the charging model sys_1, the charging model sys_1 corresponding to the first charging information info_1 can be determined.

The target remaining power represents, for example, a remaining power of the target vehicle when the target vehicle travels to the charging device. In one possible implementation manner, in a section of a prescribed route, the vehicle-mounted device obtains a current position of the target vehicle and a charging device position in the prescribed route by accessing the cloud server, so as to determine a distance to be travelled by the target vehicle, determine an electricity consumption of the target vehicle for travelling to the charging device according to the distance to be travelled by the target vehicle and a travelling speed, and obtain a target residual electricity according to a difference between an initial residual electricity of the target vehicle at the current position and the electricity consumption of travelling.

The target remaining power is input into a charging model to obtain a first charging duration. In one possible implementation manner, the vehicle-mounted device obtains a charging model sys_1 according to the first charging information info_1 based on the predicted target remaining capacity of 20%, wherein the charging model sys_1 includes a mapping relation between historical charging power and corresponding historical remaining capacity, the target remaining capacity of 20% is input into the charging model sys_1, and a first charging duration for charging the battery from 20% to 80% is obtained according to the mapping relation.

Illustratively, fig. 4 is a schematic diagram showing steps for implementing step S1022 in the embodiment shown in fig. 3, where, as shown in fig. 4, the steps for implementing step S1022 include:

Step S10221, obtaining a charging type of the target vehicle, wherein the charging type represents the allowable charging power of the target vehicle when the target vehicle is charged based on the charging equipment;

step S10222, obtaining a first charging duration according to the target residual capacity of the target vehicle, the charging type of the target vehicle and the charging model.

For example, the vehicle-mounted device acquires the charging type of the target vehicle, and the temperature of the battery of the target vehicle is raised to a certain extent during the process of charging the battery of the target vehicle by the charging device, so that the charging type changes during the charging process, that is, the charging device adjusts the output power of the target vehicle according to the change of the temperature of the battery, that is, the allowable charging power of the target vehicle during charging based on the charging device is adjusted. In one possible implementation, for example, as shown in table 1, the charging type type_1, charging type type_2, charging type type_3, and charging type type_4, which correspond to different battery average temperatures.

TABLE 1

Average temperature of battery	Charging type
		52	type_1
54	type_2
		56	type_3
58	type_4

The first charging period is determined based on the target remaining power of the target vehicle and the charging model, and is different when the charging type is different. More specifically, for example, when the first charging duration is predicted, the vehicle-mounted device determines a corresponding correction coefficient according to the obtained target remaining power, the charging type of the target vehicle and the charging model, determines an initial first charging duration according to the target remaining power, the charging type of the target vehicle and the charging model, and corrects the initial first charging duration by the correction coefficient to obtain the first charging duration. As shown in table 2, the resulting first charge duration varies based on the different average battery temperatures.

TABLE 2

In another possible implementation, the charging type is further subdivided according to a direct current charging mode and an alternating current charging mode, the allowable charging power in the different charging modes is also different, and the resulting first charging duration is also different. More specifically, for example, based on the target remaining power of the target vehicle and the charging model, the battery power of the target vehicle is charged from 20% to 80% in the direct current charging mode according to the charging apparatus, resulting in the first charging period a3; under the same condition, the battery capacity of the target vehicle is charged from 20% to 80% by adopting an alternating current charging mode according to the charging equipment, a first charging duration a4 is obtained, and the vehicle-mounted equipment provides the first charging duration a3 and the first charging duration a4 for a user for reference and selection by the user.

Step S103, obtaining a first predicted duration according to the first discharging duration and the first charging duration, wherein the first predicted duration represents the total duration of the target vehicle after completing one-time charging through the charging equipment.

The first predicted time length for the target vehicle to complete one-time charging through the charging device is obtained by calculating a weighted sum of a first discharging time length for the target vehicle to travel to the charging device from a position where the charging prompt information is received and a first charging time length for the target vehicle to charge to a target state. More specifically, for example, according to the target vehicle traveling to the charging apparatus, a first discharge period h1 at which the target vehicle arrives at the charging apparatus is predicted, a first charge period h2 at which the target vehicle is charged to the target state is predicted, and then, based on a weighted sum (weighting coefficients are 1, for example) of the first discharge period h1 and the first charge period h2, a total predicted period of the charging process, that is, a first predicted period h3, is obtained. In this embodiment, by calculating the first discharging time h1 and the first charging time h2 respectively, independent measurement and calculation of the charging time and the discharging time (i.e. the time consumed for driving to the charging device) can be achieved, so that independent time consumption of two stages and total time consumption of the charging process are displayed to a user, and accuracy and flexibility of charging time prediction are improved.

In another possible implementation manner, the target vehicle needs to wait in line when arriving at the charging device, and illustratively, fig. 5 is a schematic diagram illustrating steps in implementing step S103 in the embodiment shown in fig. 2, where, as shown in fig. 5, the steps in implementing step S103 include:

in step S1031, a waiting time period of the target vehicle at the charging apparatus is acquired.

Step S1032, obtaining a first predicted duration according to the waiting duration, the first discharging duration and the first charging duration.

The vehicle-mounted device obtains the number of vehicles to be charged and the duration to be charged at the charging device by accessing the cloud server, and predicts the waiting duration required by the target vehicle after the target vehicle arrives at the charging device according to the number of vehicles to be charged and the duration to be charged. Further, according to the predicted first discharging duration and the first charging duration, the weighted sum of the predicted waiting duration and the predicted waiting duration is calculated, and the first predicted duration of the target vehicle for completing one-time charging through the charging equipment is obtained. More specifically, for example, according to the target vehicle traveling to the charging apparatus, a first discharge period h4 at which the target vehicle arrives at the charging apparatus, a first charge period h5 at which the target vehicle is charged to the target state, a waiting period h6 at the charging apparatus, and a total predicted period of the charging process, that is, a first predicted period h7, are obtained based on a weighted sum (weighting coefficients are 1, for example) of the first discharge period h4, the first charge period h5, and the waiting period h 6.

Optionally, after obtaining the first predicted time period, the method further includes:

detecting the residual electric quantity of the target vehicle, and updating the first charging duration according to the residual electric quantity to obtain updated first charging duration; and obtaining updated first predicted time length according to the updated first charging time length.

Further, after the target vehicle arrives at the charging equipment, in the waiting process, the vehicle machine equipment detects that the residual electric quantity of the target vehicle changes, updates the first charging duration based on the current residual electric quantity, and obtains the updated first prediction duration based on the updating result of the first charging duration. Therefore, the real-time updating of the first predicted time length is realized, and the problem that the accuracy of the first predicted time length is reduced due to the electricity consumption in the waiting process is avoided.

Further, after receiving the prompt information of charging, the vehicle-mounted device generates a time interval composed of first prediction time periods, wherein the shortest time in the time interval represents a first prediction time period t1 corresponding to the fact that the residual electric quantity of the target vehicle does not change in the waiting process, and the longest time in the time interval represents a first prediction time period t2 corresponding to the fact that the residual electric quantity of the target vehicle is the largest in the waiting process.

In this embodiment, by acquiring first charging information and first discharging duration of the target vehicle, the first charging information represents a charging capability of the charging device to charge the target vehicle, and the first discharging duration represents a duration of running of the target vehicle to the charging device; obtaining a first charging duration according to the first charging information, wherein the first charging duration represents the consumed charging duration when the charging equipment charges the target vehicle to the target state based on the charging capacity corresponding to the first charging information; and obtaining a first predicted duration according to the first discharging duration and the first charging duration, wherein the first predicted duration represents the total duration of the target vehicle after completing one-time charging through the charging equipment. On the basis of obtaining the corresponding first charging duration through the first charging information, the first predicted duration is obtained by combining the first discharging duration representing the time consumption of the target vehicle to travel to the charging equipment, and the first predicted duration represents the total duration required by the whole charging process of the target vehicle, so that the method is closer to the actual time consumption of the target vehicle in the charging process, the problem of inaccurate predicted charging duration is solved, and the accuracy and the effectiveness of charging duration prediction are improved.

Fig. 6 is a flowchart of a charging duration prediction method according to another embodiment of the present application, as shown in fig. 6, where, based on the charging duration prediction method according to the embodiment shown in fig. 2, the charging duration prediction method according to the present embodiment further refines steps S101 and S102, and then the charging duration prediction method according to the present embodiment includes the following steps:

step S201, according to a first position of a target vehicle, first information corresponding to charging equipment is obtained, and the first information represents a power consumption coefficient affecting the target vehicle in the running process.

The first information is, for example, a coefficient that affects power consumption in running of the target vehicle during running of the target vehicle to the charging device. More specifically, for example, after the first position of the target vehicle is obtained, the target vehicle may also perform a running task using electric energy on the basis of the initial remaining electric power during running of the target vehicle to the charging device, and during using the electric energy, the running environment may affect the running state of the target vehicle, and the influence coefficient of the running environment is the first information. Fig. 7 is a schematic diagram of specific implementation steps of step S201 in the embodiment shown in fig. 6, where, as shown in fig. 7, specific implementation steps of step S201 include:

Step S2011, a first driving path is obtained according to a first position of a target vehicle and a second position of charging equipment;

in step S2012, according to the driving environment corresponding to the first driving path, first information corresponding to the charging device is obtained.

The first travel path is, for example, a specific route of the target vehicle to the charging device, and is determined according to a first position of the target vehicle and a second position of the charging device. In one possible implementation manner, the vehicle-mounted device obtains a first driving path according to a first position of the target vehicle and a second position of the charging device through accessing the cloud server, namely, determines a first driving path of the target vehicle from the first position to the second position, obtains a driving environment of the first driving path through the cloud server, wherein information of the driving environment comprises road condition information, weather information and the like, such as driving distance, traffic jam, road gradient, external temperature, wind power, wind direction and the like, and obtains corresponding first information such as gradient power consumption coefficient, temperature power consumption coefficient and wind resistance power consumption coefficient according to the driving environment.

Step S202, according to the first information, a first discharge duration is obtained.

For example, from the first information, specific data affecting the running state of the target vehicle can be determined, for example, the running speed, the running distance, and the wind resistance overcome during running of the vehicle can be determined, and further the first discharge duration of the target vehicle, and the power consumption amount and the target remaining power amount corresponding thereto can be determined. In one possible implementation manner, in the process of driving the target vehicle from the first position to the second position, determining an average driving speed of the target vehicle according to whether traffic in the obtained first information is blocked, and obtaining a first discharging duration according to the driving distance; according to the gradient power consumption coefficient and the wind resistance power consumption coefficient in the obtained first information, the electric quantity consumed by the target vehicle due to overcoming the road gradient and the wind resistance in the running process can be determined, and then the target residual electric quantity is obtained.

In step S203, the first battery state of health SOH before charging and the second battery state of health SOH after charging of the target vehicle are obtained.

Step S204, according to the first battery health degree SOH and the second battery health degree SOH, a health degree difference value is obtained, and the health degree difference value represents the battery damage degree of the charging operation to the target vehicle.

The better the battery health is, the better the battery life and performance of the vehicle are indicated, so that the vehicle device takes the battery health SOH as reference data during charging, and the vehicle device obtains a health difference value by analyzing historical charging operation of the target vehicle, more specifically, the vehicle device obtains a mapping relation between the health difference value and input power based on the battery power, the battery health and the input power analysis of the target vehicle during the historical charging operation. In one possible implementation manner, when the charging device adopts a quick charging function to charge the target vehicle, the vehicle device obtains a health degree difference value according to a first battery health degree SOH before charging and a second battery health degree SOH after charging, and records the health degree difference value as a health degree difference value c1; when the charging equipment adopts a slow charging function to charge the target vehicle, according to the first battery health degree SOH before charging and the second battery health degree SOH after charging, the vehicle-mounted equipment obtains a health degree difference value and records the health degree difference value as a health degree difference value c2. And providing a reference for a user when issuing a charging instruction according to different health degree difference values.

In step S205, first charging information of the target vehicle is acquired, where the first charging information characterizes a charging capability of the charging device to charge the target vehicle.

Step S206, obtaining a first charging duration according to the first charging information and the health degree difference value.

The vehicle-mounted device determines a corresponding charging model through the first charging information, and based on the target residual capacity of the target vehicle and the charging model, uses the health degree difference value as a basis for determining the charging function of the charging device, if the user needs the charging device to rapidly charge the target vehicle to a target state, the charging device completes charging by adopting the rapid charging function without considering damage to the battery, namely without considering the health degree difference value, and further obtains a first charging duration a5 under the rapid charging function; if the user considers the damage of the charging operation to the battery, the charging equipment obtains the charging power of the target vehicle according to the health degree difference value, and then charges the target vehicle to a target state, so as to obtain a first charging duration a6 based on the health degree difference value; if the charging device is required to perform maintenance on the battery of the target vehicle, a first charging period a7 based on the maintenance target state can be obtained according to the trickle charging function of the charging device.

In step S207, a waiting time period of the target vehicle at the charging device is acquired.

Step S208, obtaining a first predicted time length according to the waiting time length, the first discharging time length and the first charging time length.

In this embodiment, the implementation manner of step S205 is the same as the implementation manner of step S101 in the embodiment shown in fig. 2, and the implementation manner of step S207-step S208 is described in detail in step S103 in the embodiment shown in fig. 2, which is not described in detail herein.

Fig. 8 is a schematic structural diagram of a charging duration prediction apparatus according to an embodiment of the present application, and as shown in fig. 8, the charging duration prediction apparatus 3 provided in this embodiment includes:

the acquiring module 31 is configured to acquire first charging information and a first discharging duration of the target vehicle, where the first charging information represents a charging capability of the charging device to charge the target vehicle, and the first discharging duration represents a duration of running of the target vehicle to the charging device;

the first processing module 32 is configured to obtain a first charging duration according to the first charging information, where the first charging duration characterizes a charging duration consumed when the charging device charges the target vehicle to the target state based on a charging capability corresponding to the first charging information;

the second processing module 33 is configured to obtain a first predicted duration according to the first discharge duration and the first charge duration, where the first predicted duration characterizes a total duration of a target vehicle that completes one charge through the charging device.

In one possible implementation manner, the first processing module 32 is specifically configured to, when obtaining the first charging duration according to the first charging information: acquiring a charging model corresponding to the first charging information, wherein the charging model represents a mapping relation between real-time charging power of the charging equipment and target residual capacity of the target vehicle when the charging equipment charges the target vehicle, and the target residual capacity represents the residual capacity of the target vehicle when the target vehicle runs to the charging equipment; and obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model.

In one possible implementation, the first processing module 32 is further configured to: acquiring a charging type of a target vehicle, wherein the charging type represents allowable charging power of the target vehicle when the target vehicle is charged based on charging equipment; obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model, wherein the first charging duration comprises the following steps: and obtaining a first charging duration according to the target residual capacity of the target vehicle, the charging type of the target vehicle and the charging model.

In one possible implementation manner, the obtaining module 31 is specifically configured to, when obtaining the first discharge duration: acquiring first information corresponding to the charging equipment according to a first position of the target vehicle, wherein the first information represents a power consumption coefficient affecting the target vehicle in the driving process; and obtaining a first discharge duration according to the first information.

In one possible implementation, the obtaining module 31 is further configured to: obtaining a first travel path according to a first position of a target vehicle and a second position of charging equipment; and obtaining first information corresponding to the charging equipment according to the running environment corresponding to the first running path.

In one possible implementation manner, the second processing module 33 is specifically configured to, when obtaining the first predicted duration according to the first discharging duration and the corresponding first charging duration: acquiring waiting time of a target vehicle at a charging device; and obtaining a first predicted time length according to the waiting time length, the first discharging time length and the first charging time length.

In one possible implementation, the first processing module 32 is further configured to: acquiring a first battery health degree SOH before charging and a second battery health degree SOH after charging of a target vehicle; obtaining a health degree difference value according to the first battery health degree SOH and the second battery health degree SOH, wherein the health degree difference value represents the battery damage degree of the charging operation to the target vehicle; obtaining a first charging duration according to the first charging information, including: and obtaining a first charging duration according to the first charging information and the health degree difference value.

The acquiring module 31, the first processing module 32 and the second processing module 33 are sequentially connected. The charging duration prediction apparatus provided in this embodiment may execute the technical scheme of the method embodiment as shown in any one of fig. 2 to fig. 7, and its implementation principle and technical effect are similar, and will not be described herein again.

Fig. 9 is a schematic diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 9, the electronic device 4 provided in this embodiment includes: a processor 41, and a memory 42 communicatively coupled to the processor 41.

Wherein the memory 42 stores computer-executable instructions;

processor 41 executes computer-executable instructions stored in memory 42 to implement the method for predicting a charge duration according to any one of the embodiments of the present application shown in fig. 2-7.

Wherein the memory 42 and the processor 41 are connected by a bus 43.

The relevant descriptions and effects corresponding to the steps in the embodiments corresponding to fig. 2 to fig. 7 may be understood correspondingly, and are not described in detail herein.

An embodiment of the present application provides a computer readable storage medium, where computer executable instructions are stored, where the computer executable instructions are used to implement the method for predicting a charging duration provided in any one of the embodiments corresponding to fig. 2 to fig. 7 when executed by a processor.

The computer readable storage medium may be, among other things, ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

An embodiment of the present application provides a computer program product, which includes a computer program, where the computer program when executed by a processor implements the method for predicting a charging duration provided in any one of the embodiments corresponding to fig. 2 to 7.

Fig. 10 is a block diagram of a terminal device 800, which may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, etc., in accordance with an exemplary embodiment of the present application.

Terminal device 800 can include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communication component 816.

The processing component 802 generally controls overall operation of the terminal device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operations at the terminal device 800. Examples of such data include instructions for any application or method operating on terminal device 800, contact data, phonebook data, messages, pictures, video, and the like. The memory 804 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply component 806 provides power to the various components of the terminal device 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal device 800.

The multimedia component 808 includes a screen between the terminal device 800 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the terminal device 800 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the terminal device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 further includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of the terminal device 800. For example, the sensor assembly 814 may detect an on/off state of the terminal device 800, a relative positioning of the assemblies, such as a display and keypad of the terminal device 800, the sensor assembly 814 may also detect a change in position of the terminal device 800 or a component of the terminal device 800, the presence or absence of a user's contact with the terminal device 800, an orientation or acceleration/deceleration of the terminal device 800, and a change in temperature of the terminal device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to facilitate communication between the terminal device 800 and other devices, either wired or wireless. The terminal device 800 may access a wireless network based on a communication standard, such as WiFi,3G, 4G, 5G, or other standard communication networks, or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the terminal device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic elements for performing the methods provided in any one of the embodiments of the application described above and corresponding to fig. 2-7.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 804 including instructions executable by processor 820 of terminal device 800 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

Embodiments of the present application also provide a non-transitory computer readable storage medium, which when executed by a processor of a terminal device, causes the terminal device 800 to perform the method provided in any of the embodiments of the present application corresponding to fig. 2-7.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.

Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (11)

1. A method for predicting a charge duration, the method comprising:

acquiring first charging information and first discharging duration of a target vehicle, wherein the first charging information represents the charging capability of charging equipment for charging the target vehicle, and the first discharging duration represents the duration of the target vehicle running to the charging equipment;

Obtaining a first charging duration according to the first charging information, wherein the first charging duration represents the consumed charging duration when the charging equipment charges the target vehicle to a target state based on the charging capacity corresponding to the first charging information;

obtaining a first predicted duration according to the first discharging duration and the first charging duration, wherein the first predicted duration represents the total duration of the target vehicle after one-time charging through the charging equipment.

2. The method of claim 1, wherein the obtaining a first charging duration according to the first charging information includes:

acquiring a charging model corresponding to the first charging information, wherein the charging model represents a mapping relation between real-time charging power of the charging equipment and target residual electric quantity of the target vehicle when the charging equipment charges the target vehicle, and the target residual electric quantity represents the residual electric quantity when the target vehicle runs to the charging equipment;

and obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model.

3. The method according to claim 2, wherein the method further comprises:

Acquiring a charging type of the target vehicle, wherein the charging type represents allowable charging power of the target vehicle when the target vehicle is charged based on the charging equipment;

the obtaining a first charging duration according to the target residual capacity of the target vehicle and the charging model includes:

and obtaining a first charging duration according to the target residual capacity of the target vehicle, the charging type of the target vehicle and the charging model.

4. The method of claim 1, wherein obtaining a first discharge duration comprises:

acquiring first information corresponding to the charging equipment according to a first position of the target vehicle, wherein the first information represents a power consumption coefficient affecting the target vehicle in the running process;

and obtaining the first discharge duration according to the first information.

5. The method according to claim 4, wherein the method further comprises:

obtaining a first driving path according to a first position of the target vehicle and a second position of the charging equipment;

and obtaining first information corresponding to the charging equipment according to the running environment corresponding to the first running path.

6. The method of claim 1, wherein the obtaining a first predicted duration from the first discharge duration and the corresponding first charge duration comprises:

Acquiring waiting time of the target vehicle at the charging equipment;

and obtaining the first predicted time length according to the waiting time length, the first discharging time length and the first charging time length.

7. The method according to claim 1, wherein the method further comprises:

acquiring a first battery health degree SOH before charging and a second battery health degree SOH after charging of the target vehicle;

obtaining a health degree difference value according to the first battery health degree SOH and the second battery health degree SOH, wherein the health degree difference value represents the battery damage degree of charging operation to the target vehicle;

the obtaining a first charging duration according to the first charging information includes:

and obtaining the first charging duration according to the first charging information and the health degree difference value.

8. A charging duration prediction apparatus, characterized by comprising:

the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring first charging information and first discharging duration of a target vehicle, the first charging information represents the charging capability of charging equipment for charging the target vehicle, and the first discharging duration represents the duration of the target vehicle running to the charging equipment;

The first processing module is used for obtaining a first charging duration according to the first charging information, wherein the first charging duration represents the consumed charging duration when the charging equipment charges the target vehicle to a target state based on the charging capacity corresponding to the first charging information;

the second processing module is used for obtaining a first predicted duration according to the first discharging duration and the first charging duration, and the first predicted duration represents the total duration of the target vehicle after one-time charging through the charging equipment.

9. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored in the memory to implement the charge duration prediction method of any one of claims 1 to 7.

10. A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, which when executed by a processor, are configured to implement the charge duration prediction method according to any one of claims 1 to 7.

11. A computer program product comprising a computer program which, when executed by a processor, implements the method of predicting a charge duration as claimed in any one of claims 1 to 7.