CN111086410B

CN111086410B - Charging control method and device, electronic equipment and system

Info

Publication number: CN111086410B
Application number: CN202010005906.8A
Authority: CN
Inventors: 马涛
Original assignee: Hengda Hengchi New Energy Automobile Technology Guangdong Co Ltd
Current assignee: Hengda hengchi new energy automobile technology (Guangdong) Co., Ltd
Priority date: 2020-01-03
Filing date: 2020-01-03
Publication date: 2021-11-19
Anticipated expiration: 2040-01-03
Also published as: CN111086410A; WO2021136493A1

Abstract

The invention discloses a charging control method, which aims to solve the problem of how to avoid safety risks possibly generated in the charging process of an electric automobile as much as possible in the prior art. The method comprises the following steps: acquiring environmental information; the environmental information represents the loss degree caused by charging risk events when the vehicle to be charged is charged in a target charging environment; predicting the loss degree of the vehicle to be charged caused by the charging risk event when the vehicle to be charged is charged in the target charging environment based on the environment information; determining a charging strategy corresponding to the predicted loss degree as a target charging strategy according to a preset mapping relation between the loss degree and the charging strategy; and charging the vehicle to be charged based on the target charging strategy in the process of charging the vehicle to be charged in the target charging environment. The invention also discloses a charging control device, a charging control system, an electronic device and a computer readable storage medium.

Description

Charging control method and device, electronic equipment and system

Technical Field

The present invention relates to the field of charging technologies, and in particular, to a charging control method, an apparatus, an electronic device, and a system.

Background

With the increasing environmental awareness of users, many vehicles, such as electric automobiles, are gradually developed to the electric field, and a vehicle-mounted power supply is used as power, and a motor is used for driving wheels to run, so that the vehicle-mounted power supply replaces fuel driving, and the requirement of environmental protection is met.

Although the motor drive has the advantages of energy conservation and environmental protection, certain risks exist in some scenes. For example, in the charging process of an electric vehicle, the power battery may explode due to an excessive charging current or an over-full power battery, which may cause property loss and even casualties. How to avoid the safety risk possibly generated in the charging process of the electric automobile as much as possible is a problem to be solved urgently at present.

Disclosure of Invention

The embodiment of the invention provides a charging control method, which is used for solving the problem in the prior art that how to avoid safety risks possibly generated in the charging process of an electric automobile as much as possible.

The embodiment of the invention also provides a charging control device, a charging control system, a charging control electronic device and a computer readable storage medium.

The embodiment of the invention adopts the following technical scheme:

a charge control method, comprising:

acquiring environmental information; the environment information represents the loss degree of the vehicle to be charged if a charging risk event occurs during charging in a target charging environment;

predicting the loss degree of the vehicle to be charged caused by the charging risk event when the vehicle to be charged is charged in the target charging environment based on the environment information;

determining a charging strategy corresponding to the predicted loss degree as a target charging strategy according to a preset mapping relation between the loss degree and the charging strategy; each charging strategy in the preset mapping relation is a charging strategy which is verified in advance and can avoid charging risk events if a charging vehicle is charged;

and charging the vehicle to be charged based on the target charging strategy in the process of charging the vehicle to be charged in the target charging environment.

A charging control device comprises an environmental information acquisition module, a loss degree prediction module, a charging strategy determination module and a charging control module, wherein:

the environment information acquisition module is used for acquiring environment information; the environment information represents the loss degree of the vehicle to be charged if a charging risk event occurs during charging in a target charging environment;

the loss degree prediction module is used for predicting the loss degree caused by charging risk events if the vehicle to be charged is charged in the target charging environment based on the environment information;

the charging strategy determining module is used for determining a charging strategy corresponding to the predicted loss degree as a target charging strategy according to the preset mapping relation between the loss degree and the charging strategy; each charging strategy in the preset mapping relation is a charging strategy which is verified in advance and can avoid charging risk events when the charging vehicle is charged;

and the charging control module is used for charging the vehicle to be charged based on the target charging strategy in the process of charging the vehicle to be charged in the target charging environment.

An electronic device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the charging control method as described above.

A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the charging control method as set out above.

The embodiment of the invention adopts at least one technical scheme which can achieve the following beneficial effects:

by adopting the method provided by the embodiment of the invention, the purpose that the loss degree caused by the charging risk event in the target charging environment is taken as one of the determination bases of the adopted charging strategy when the automobile is charged is realized, so that the vehicle is controlled to be charged through the determined charging strategy, the charging risk event in the target environment can be avoided to a certain extent, and the safety of the vehicle to be charged in the target charging environment is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:

fig. 1a is a schematic flow chart illustrating an implementation of a charging control method according to an embodiment of the present invention;

fig. 1b is a schematic flow chart illustrating an implementation of a charging control method according to an embodiment of the present invention;

fig. 1c is a schematic flow chart illustrating an implementation of a charging control method according to an embodiment of the present invention;

fig. 2 is a schematic flow chart illustrating an implementation process of a charging control method in an actual application scenario according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of a charging control apparatus according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The technical solutions provided by the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

Example 1

In order to solve the problem of how to avoid safety risks possibly generated in the charging process of an electric automobile as much as possible in the prior art, the embodiment of the invention provides a charging control method.

The execution subject of the method may be various types of charging devices, automobiles, and the like, or may be an Application program or Application (APP) installed on the charging device or the automobile. The charging device can be, for example, a charging pile, a charging gun, a charger, a charging frame, a charging box, a charging cabinet, a charging station and the like.

For convenience of description, the embodiment of the present invention introduces the method by taking the execution subject of the method as an example of a charging pile with a charging function and a processor. This fill electric pile can understand to an intelligent charging stake, except possessing the function of charging and treater, can also possess the function etc. that communicate with the communication module and the server of car. Those skilled in the art will understand that the embodiment of the present invention uses the charging pile as an example to describe the method, which is only an exemplary illustration and does not limit the scope of the claims corresponding to the present disclosure.

It should be noted that the charging risk events described below include safety events caused by charging, such as causing fire or explosion of objects including charging vehicles, due to the charging current of the power battery being too large or the power battery being overcharged. The historical charging risk event refers to a charging risk event which has already occurred.

The inventor finds that the environments where the historical charging risk events occur are different and the degree of the loss is different by analyzing the historical charging risk events and the loss caused by the historical charging risk events (such as property loss or casualties).

For example, when charging is performed inside a building with a dense flow of people (e.g., an underground parking lot of a city center mall) or around the building, the degree of loss due to the charging risk event is greater than that due to the charging risk event occurring in an area with a sparse flow of people and far away from the building (e.g., a suburban parking lot).

Therefore, in the prior art, a charging control method capable of ensuring charging safety of a vehicle to be charged based on charging environment consideration is urgently needed, and particularly, the method can control a power battery of the vehicle to be charged to charge by adopting different charging strategies based on a predicted loss degree caused by a charging risk event when the vehicle is charged in a target charging environment, so as to avoid the charging risk event when the vehicle to be charged is charged in different charging environments.

Based on the above analysis, an embodiment of the present invention provides a method for controlling charging of a vehicle to be charged based on a charging environment, where before charging of the vehicle to be charged, environment information of the vehicle to be charged may be obtained, then based on the environment information, a loss degree caused by a charging risk event occurring when the vehicle to be charged is charged in a target charging environment is predicted, according to a preset mapping relationship between the loss degree and a charging policy, a charging policy corresponding to the predicted loss degree is determined as a target charging policy, and the vehicle to be charged is charged based on the target charging policy.

Specifically, an implementation flow of the method provided by the embodiment of the present invention is shown in fig. 1a, and includes the following steps:

step 101, obtaining environmental information; the environmental information represents the loss degree of the vehicle to be charged if a charging risk event occurs during charging in the target charging environment.

The environmental information may be actively collected by the vehicle to be charged and transmitted to the charging pile as an execution subject. For example, wait to charge the vehicle and after stopping near filling electric pile, can establish communication connection with filling electric pile, and then, based on this communication connection, this environmental information that will wait to charge the vehicle and gather sends for filling electric pile. In one embodiment, if the environment information is an image of the target charging environment, the vehicle to be charged may capture the image of the target charging environment through a camera thereof, and send the image to the charging pile.

Wherein, treat that the vehicle that charges can be based on wifi module bluetooth module, establish communication connection with this electric pile that fills that possesses wifi module bluetooth module. Or the vehicle to be charged can be connected to a server in the internet/internet of things/internet of vehicles, and then the server is used as an information transmission medium between the charging pile and the vehicle to be charged, so that communication connection among the vehicle to be charged, the server and the charging pile is established.

Alternatively, the environmental information may be obtained from an information source actively by the charging pile. After the vehicle to be charged stops near the charging pile, the vehicle to be charged can be connected with the charging pile in the above mode, and the charging pile is informed to acquire environmental information. In an embodiment, if the environment information is an image of the target charging environment, the charging pile may capture the image of the target charging environment through its own camera, or the charging pile may directly obtain the environment information pre-stored in the storage space from its own storage space.

Alternatively, in one embodiment, the charging pile may obtain the environmental information collected and saved by the third party from the third party. The third-party system can comprise a charging pile-electric automobile battery management system, a charging pile APP or a charging pile-background service management system and the like.

The target charging environment may be understood as an area/place where the vehicle to be charged is located when charging, for example, the area/place may be an area where a charging device is installed, such as a parking lot, a periphery of a building, a city road, or a commercial block.

The parking lot may include an underground parking lot, an open-air dedicated parking lot, an urban temporary parking lot, a residential parking lot, or the like. The building perimeter may include a residential neighborhood, a mall/shopping center/department building perimeter, a vicinity of a public activity center, a vicinity of a school or office building, and the like. The commercial neighborhood may include a pedestrian street, a financial street or a square in a city center, or the like.

Alternatively, the charging device may be, for example, a charging pile, a charging gun, a charger, a charging rack, a charging box, a charging cabinet, a charging station, or the like. The following describes embodiments of the present invention by taking a charging device as an example of a charging pile.

In the charging process, events that the power battery explodes/fires and the like, which may endanger life safety or cause property loss, may occur due to an excessively large charging current or an excessively full power battery of the automobile to be charged, and may be referred to as charging risk events.

The degree of damage caused by the charging risk event can be understood as the amount of property loss and/or the degree of casualties (number of casualties, degree of injury, etc.) that may be caused in the event of an explosion/fire event during charging.

It should be noted that the above-mentioned reasons (charging current is too large or power battery is overcharged) causing explosion/fire of the power battery are only an exemplary illustration and do not limit the embodiment of the present invention, and in one embodiment, for example, the explosion/fire of the power battery may also be caused due to the quality of the power battery itself.

The above environmental information may be used to characterize a loss degree caused by a charging risk event when the vehicle to be charged is charged in the target charging environment, and in practical application, the environmental information may include: at least one of a type of charging environment, a type of target object in the charging environment, a distribution density of target objects of a specified type in the charging environment, or a number of target objects of a specified type in the charging environment.

The type of charging environment may include, for example, a commercial block type, a parking lot type, or a building periphery type.

Correspondingly, the type of the target object in the charging environment may be a person, a vehicle, a building, or the like; the distribution density of the specified type of target object in the charging environment may include a distribution density of a person in the charging environment, a distribution density of a vehicle in the charging environment, or a distribution density of a building in the charging environment.

In the embodiment of the present invention, the distribution density of the people in the charging environment may be determined according to the number of people in the image of the target charging environment provided by the information source and the area of the photographed target charging environment, for example, the distribution density of the people in the charging environment may be equal to the ratio of the number of people in the image of the target charging environment provided by the information source to the area of the photographed target charging environment.

Similarly, the distribution density of the building and the vehicle in the charging environment can also be determined by the above method, and is not described here again to avoid redundancy.

In the embodiment of the present invention, the number of the target objects of the specified type in the charging environment may also be determined according to the image of the target charging environment provided by the information source.

Or, in practical application, the geographic position information, the real-time traffic information, the people flow, the number of the permanent population, the building type, the city information and the like of the target charging environment can be further included.

Considering that in practical applications, different types of target charging environments may exist, and the environment information of the different types of target charging environments may have different acquisition devices, that is, when the charging pile acquires the environment information, different information sources may be faced to the different types of target charging environments, so as shown in fig. 1b, in an embodiment, the environment information may be acquired in the following manner:

at step 1011, the type of target charging environment is determined.

The type of the target charging environment may be understood as a type of an area where the vehicle to be charged is located when being charged, and for example, the type of the target charging environment may be divided into three types, that is, a parking lot, a building periphery, and a commercial block, according to a target object included in the area where the vehicle is located.

Optionally, when the type of the target charging environment is determined, for example, an image of the periphery of the target charging environment may be acquired by the charging pile-background service management system, and then the image is analyzed to determine the type of the target charging environment. When the image of the periphery of the target charging environment is acquired, the image of an area, which is away from the center by a distance smaller than or equal to a preset radius, may be acquired with the vehicle to be charged as the center. Or the charging pile can also match the position of the current target charging environment of the vehicle/charging pile to be charged on the map by combining the stored map data directly according to the GPS positioning information of the vehicle/charging pile to be charged, and further determine whether the position belongs to a parking lot, the periphery of a building, a commercial block or the like, so as to determine the type of the target charging environment.

At step 1012, according to the type of the target charging environment, environment information is obtained from an information source matching the type of the target charging environment.

In practical applications, in order to timely handle an emergency situation occurring in a target charging environment, a monitoring platform or a monitoring device for monitoring the situation of the target charging environment generally exists. For example, a camera for shooting environmental conditions may be provided in a target charging environment, and the camera is a monitoring device; the images shot by the camera can be transmitted to a server of a security center for storage, image processing and the like, and the server is a monitoring platform.

Because the monitoring platform and the monitoring equipment can provide the environmental information, the charging pile serving as the execution main body in the embodiment of the invention can acquire the environmental information from the monitoring platform/the monitoring equipment matched with the type of the target charging environment.

For example, in one embodiment, assume that the type of target charging environment matches the information source as shown in table 1 below:

TABLE 1

After the type of the target charging environment is determined in step 1011, an information source matching the type of the target charging environment may be determined according to the matching relationship shown in table 1, and then the environment information may be obtained from the corresponding information source. For example, assuming that step 1011 determines that the type of the target charging environment is a parking lot, the environmental information may be acquired from a monitoring platform of the parking lot, a monitoring device of the vehicle to be charged itself, or a monitoring device of another vehicle in the parking lot.

The charging pile serving as the execution subject can be in communication connection with the information sources in advance, so that the environmental information can be acquired from the information sources.

Step 102, predicting a loss degree caused by a charging risk event if the vehicle to be charged is charged in the target charging environment based on the environment information.

For example, considering that different types of charging environments may include different target objects, if a charging risk event occurs in different charging environments, target objects suffering from a security risk may be made different, so that there is a difference in the degree of loss caused by the occurrence of the charging risk event. For example, when the charging environment is a parking lot, the target object included therein may be a vehicle or the like; when the charging environment is the periphery of a building, the target object may be more than the building; when the charging environment is a mall, the target object is usually people.

It can be determined that generally, the degree of loss caused by charging risk events occurring in a commercial block is often greater than the degree of loss caused to vehicles by charging risk events occurring in parking lots — due to the dense flow of people in the commercial block, the safety risk is likely to cause casualties.

Based on this, in the embodiment of the present invention, a mapping relationship between the environmental information and the loss degree caused by the occurrence of the charging risk event during charging in the charging environment may be preset according to the environmental information, for example, as shown in tables 2-1 to 2-4. In this way, according to the acquired environment information and the mapping relations shown in tables 2-1 to 2-4, the loss degree caused by the charging risk event when the vehicle to be charged is charged in the target charging environment can be predicted.

The environment information may include at least one of a type of the charging environment, a type of the target object in the charging environment, a distribution density of the target object of a specific type in the charging environment, or a number of the target object of a specific type in the charging environment, as shown in the related content described in step 101.

As described below, table 2-1 is a mapping relationship between the charging environment type and the loss degree in the charging environment information; table 2-2 is a mapping relationship between the type of the target object in the charging environment information and the degree of loss; tables 2 to 3 are mapping relationships between distribution densities and loss degrees of target objects of specified types in the charging environment information in the charging environment; tables 2-4 are mappings of the number of target objects of the specified type in the charging environment information in the charging environment and the degree of loss.

TABLE 2-1

Type of charging environment	Degree of loss
		Commercial block	Degree of major loss
Building periphery and parking lot	Degree of secondary loss

Tables 2 to 2

Types of target objects in a charging environment	Degree of loss
		Human being	Degree of major loss
Building and vehicle	Degree of secondary loss

Tables 2 to 3

Tables 2 to 4

Wherein, the magnitude relation of each loss degree is as follows:

degree of major loss > degree of second major loss > degree of general loss

The information representing the person distribution density may be determined by the number of persons in the image of the target charging environment captured by the monitoring device or the monitoring platform and the area of the captured target charging environment, for example, the person distribution density may be equal to the ratio of the number of persons in the image captured by the monitoring device or the monitoring platform to the area of the captured target charging environment.

Similarly, the distribution density of the buildings and vehicles can also be determined by the above method, and is not described here for avoiding further description.

In an alternative embodiment, the following method may also be used to predict the loss degree of the vehicle to be charged in the target environment if a charging risk event occurs:

and inputting the environmental information into the loss prediction model to obtain the loss degree output by the loss prediction model, wherein the loss degree is used as the predicted loss degree caused by the charging risk event if the vehicle to be charged is charged in the target charging environment.

And the loss prediction model is obtained by training based on the specified information of the historical charging risk event.

Optionally, the specific information of the historical charging risk event includes: environmental information of the occurrence environment of the historical charging risk event and the degree of the resulting loss.

In one embodiment, the loss prediction model may be trained in a supervised learning manner or an unsupervised learning manner based on the specific information of the historical charging risk event.

The following describes some training processes of the loss prediction model by taking a supervised learning manner as an example:

for example, in one embodiment, the loss prediction model may be trained using the following steps A-E:

A. a preset number of historical charging risk event samples and corresponding loss degree classification label information may be collected in advance, where the loss degree classification label may include, for example, a major loss, a minor loss, a general loss, and the like.

B. All collected historical charging risk event samples are initialized, and the initialization value can be 1.

C. And determining the loss degree caused by the occurrence of each initialized historical charging risk event.

D. And acquiring the environmental information corresponding to the loss degree and the classification label corresponding to the environmental information according to the loss degree.

E. And inputting the collected environmental information into a supervised deep learning network model for training to obtain a trained loss prediction model.

The method for training the loss prediction model is only an exemplary illustration, and does not limit the embodiment of the present invention in any way.

And 103, determining a charging strategy corresponding to the predicted loss degree as a target charging strategy according to a preset mapping relation between the loss degree and the charging strategy.

Optionally, the preset mapping relationship may be stored in a local storage space of the charging pile.

In one embodiment, the preset mapping relationship between the loss degree and the charging strategy in the embodiment of the present invention may be as shown in table 3 below.

TABLE 3

According to the predicted loss degree, a charging strategy corresponding to the predicted loss degree can be determined as a target charging strategy by inquiring the preset mapping relation.

As can be seen from table 3 above, the loss degree in the preset mapping relationship may include a first loss degree and a second loss degree, and the charging policy may include a first charging policy and a second charging policy. Wherein the first loss degree is higher than the second loss degree. A first loss level, such as the major loss level and the minor loss level described above; the second degree of loss may be, for example, the general degree of loss described above.

Based on table 3 above, assuming that the predicted degree of loss is the "first degree of loss", the "first charging strategy" may be determined as the target charging strategy by referring to table 3 above.

The information in table 3 is further described below:

the preset capacity threshold value does not exceed the rated capacity of the power battery generally.

The first current is smaller than the second current. And the second current does not generally exceed the rated charging current of the power battery, i.e. does not exceed the maximum charging current that can be used by the power battery.

The second charging strategy may further include a control target for the capacity of the power battery. For example, it may include: and controlling the capacity of the power battery at the time of finishing charging to be equal to the rated capacity of the power battery.

The above is a description of one conventional implementation of step 103. Considering that in an actual scenario, there may be some factors affecting charging safety, the preset mapping relationship may further include some other constraint terms for determining the charging policy. The following is a detailed description.

In general, the resistance of the insulation resistor of the power battery may change with the weather change of the charging environment.

For example, when the charging environment temperature is low, lithium ions in the power battery may be excessively extracted from the positive electrode of the power battery, so that the resistance value of the insulation resistor of the power battery becomes small, thereby causing a short circuit inside the power battery, and presenting a safety risk. When the temperature of the charging environment is high, the stability of the positive electrode of the power battery may be reduced, and the charging process may also have a safety risk.

Therefore, the charging safety of the power battery is affected by the fact that the charging environment temperature is too high or too low. Besides the ambient temperature, the related statistical results show that the performance and other safety aspects of the electric vehicle may be influenced to a greater or lesser extent by the meteorological information of the charging environment, such as the air humidity, the wind direction and the wind power level of the charging environment.

Based on the above analysis, in determining the target charging strategy, the embodiment of the present invention may further consider weather information of the charging environment in which the vehicle to be charged is located as one of the constraint terms for determining the charging strategy.

In addition, the attribute information and the state information of the power battery of the vehicle to be charged play an important role in the charging process, so that when the target charging strategy is determined, the embodiment of the invention can also acquire the information of the power battery corresponding to the vehicle to be charged as one of the constraint items for determining the charging strategy.

The attribute information of the power battery may include, for example, a rated capacity of the power battery and status information of the power battery. The state information of the power battery may include, for example, a state of charge of the power battery and/or a health degree of the power battery.

The rated capacity of the power battery represents the total electric quantity discharged by the power battery in a full-charge state.

The health degree of the power battery represents that the power battery is discharged to cut-off voltage at a certain multiplying power from a full-charge state under a standard condition, and the ratio of the discharged capacity to the corresponding nominal capacity can reflect the aging state of the power battery.

The state of charge of the power battery can represent the ratio of the residual capacity of the power battery to the rated capacity of the battery.

For convenience of description, the above-described constraint terms for determining the charging policy will be hereinafter referred to as reference information of a target charging policy of a specified type.

In summary, in an embodiment, the presetting of the mapping relationship may further include: the mapping relationship between the loss degree, the charging policy and the specified type of charging reference information is specifically shown in table 4 below:

wherein the specified type of charging reference information includes at least one of weather information of the charging environment and information of a power battery of the vehicle.

TABLE 4

Wherein, the too low temperature interval can be T less than or equal to 15 ℃, the normal temperature interval can be more than 15 ℃ and less than or equal to 30 ℃, and the too high temperature interval can be T more than 30 ℃. The over-low humidity interval can be that RH is less than or equal to 40% RH, the normal humidity interval can be that RH is more than 40% RH and less than or equal to 60% RH, and the over-low humidity interval can be that RH is more than 60% RH.

Based on the mapping relationship shown in table 4, the target charging strategy may be determined by the methods of steps 1031 to 1032 shown in fig. 1 c:

and step 1031, acquiring the charging reference information of the specified type corresponding to the vehicle to be charged.

Wherein the specified type of charging reference information includes at least one of weather information and information of a power battery of the vehicle. The meteorological information can be acquired by the charging pile from a server providing the meteorological information based on the position information of the target charging environment; the information of the power battery of the vehicle can be actively sent to the charging pile by the vehicle to be charged.

Alternatively, the meteorological information may include a temperature of the charging environment, an air humidity of the charging environment, a wind direction of the charging environment, or a wind level of the charging environment, and the like. The information of the power battery of the vehicle may include attribute information of the power battery and/or state information of the power battery.

In one embodiment, after acquiring the charging reference information of the designated type corresponding to the vehicle to be charged, the target charging strategy may be determined by performing step 1032.

Step 1032, determining a charging strategy corresponding to the loss degree determined by executing step 102 and the specified type of charging reference information acquired by executing step 1031 according to a preset mapping relation, as a target charging strategy.

Based on the above analysis, assuming that the charging environment temperature is determined to be 12 degrees celsius, that is, the charging environment temperature is relatively low, and the loss degree determined according to step 102 is a first loss degree, the target charging strategy may be determined to be a first charging strategy according to the preset mapping relationship shown in table 4, that is, the vehicle to be charged is charged by using the first current, the capacity of the power battery is monitored in the charging process, and when the battery capacity is less than or equal to the preset capacity threshold, the charging pile is controlled to stop charging.

And 104, charging the vehicle to be charged based on the target charging strategy in the process of charging the vehicle to be charged in the target charging environment.

In the embodiment of the invention, after the target charging strategy is determined (assuming that the target charging strategy is the first charging strategy), the charging pile can charge the vehicle to be charged according to the first charging current, and stops charging when the capacity of the power battery reaches the preset capacity threshold value based on the battery capacity information fed back by the charging vehicle.

For example, assuming that the maximum current threshold capable of ensuring the charging safety of the vehicle to be charged in the target charging strategy is 30A, and the maximum capacity threshold of the power battery is 90% of the rated capacity of the power battery (assuming that the capacity of the power battery is 2700mAh), the charging pile may charge the vehicle to be charged according to the charging current smaller than 30A, and stop charging when it is monitored that the capacity of the power battery reaches 2430mAh (2700 × 90%) based on the battery capacity information fed back by the charging vehicle.

In one embodiment, charging environment information, a charging policy corresponding to the environment information, and a charging current and a maximum charging capacity of the charging policy may be pre-stored in a charging device (e.g., a charging pile). When the charging equipment receives the target charging strategy, the charging equipment can select the charging current corresponding to the target charging strategy to charge in the target charging environment according to the target charging strategy, and when the power battery reaches the maximum charging capacity corresponding to the target charging strategy, the charging is finished.

The charging post may be of a type that is, but not limited to, vehicle-mounted, portable, wall-mounted, or floor-mounted.

Example 2

How the method provided by the embodiment of the invention is applied in practice is described below in combination with an actual scene.

Fig. 2 is a schematic diagram of an application flow of the method according to the embodiment of the present invention in practice. The process specifically comprises the following steps:

step 201, when the charging background detects that the charging device is connected with the vehicle to be charged, the charging background receives the information of the power battery of the vehicle to be charged, which is collected by the charging device, and the environment information, which is sent by the third-party information platform and represents the loss degree of the vehicle to be charged if a charging risk event occurs during charging in the target charging environment.

Optionally, the third party information platform comprises: and the vehicle-mounted monitoring equipment or the charging equipment is located in the environment.

Step 202, after the charging background receives the information of the power battery and the charging environment information, the triggering intelligent charging model may determine a loss degree caused by a charging risk event occurring during charging in the current environment based on the environment information.

The preset mapping relationship between the environmental information and the loss degree can be shown in tables 2-1 to 2-4, and is not described here for avoiding redundancy.

And 203, after receiving the loss degree sent by the intelligent charging model, the charging background determines a corresponding target charging strategy based on the loss degree.

In the embodiment of the invention, the charging strategy corresponding to the predicted loss degree can be determined as the target charging strategy by inquiring the preset mapping relation according to the transmitted loss degree.

The preset mapping relationship can be shown in table 3, and is not described here for avoiding redundancy.

For example, if the loss degree is predicted to be the first loss degree according to step 202, according to the mapping relationship shown in table 3, it may be determined that the target charging strategy is the first charging strategy, that is, the charging is performed by using the first current, and when it is detected that the capacity of the power battery reaches the preset capacity threshold value based on the battery capacity information fed back by the charging vehicle, the charging is stopped.

And 204, the charging background controls the charging equipment to charge the vehicle to be charged based on the determined charging strategy.

Alternatively, the vehicle to be charged may be charged based on the charging strategy determined in step 203.

It should be noted that, in the charging process, the charging background may start to collect the power battery type information and the charging environment information again at intervals (for example, 20 minutes), and input the power battery type information and the charging environment information to the intelligent charging model, and if the loss degree output by the intelligent charging model changes, the charging device is controlled to execute a new charging strategy.

Example 3

In order to solve the problem in the prior art that the power battery explodes due to an excessive charging current or the power battery is excessively charged, which causes property loss and even casualties, an embodiment of the present invention provides a charging control device, which has a specific structural schematic diagram as shown in fig. 3 and includes an environmental information obtaining module 301, a loss degree predicting module 302, a charging policy determining module 303, and a charging control module 304. The functions of the modules are as follows:

an environment information obtaining module 301, configured to obtain environment information; the environment information represents the loss degree of the vehicle to be charged if a charging risk event occurs during charging in a target charging environment;

a loss degree prediction module 302, configured to predict, based on the environment information, a loss degree that is caused if a charging risk event occurs when the vehicle to be charged is charged in the target charging environment;

a charging strategy determining module 303, configured to determine, according to a preset mapping relationship between the loss degree and the charging strategy, a charging strategy corresponding to the determined loss degree as a target charging strategy; each charging strategy in the preset mapping relation is a charging strategy which is verified in advance and can avoid charging risk events if a charging vehicle is charged;

and the charging control module 304 is configured to charge the vehicle to be charged based on the target charging policy in a process that the vehicle to be charged is charged in the target charging environment.

In an alternative embodiment, the context information includes: the type of charging environment and/or the type of target object in the charging environment and/or the distribution density of target objects of a specified type in the charging environment.

In an alternative embodiment, the environment information obtaining module 301 includes:

an environment type determination unit for determining a type of a target charging environment;

and the environment information acquisition unit is used for acquiring the environment information from an information source matched with the type of the target charging environment according to the type of the target charging environment.

In an alternative embodiment, the environment information obtaining unit includes:

if the type of the target charging environment comprises a parking lot, acquiring environment information from a specified device related to the parking lot; relevant designated devices including at least one of a monitoring platform of the parking lot, a monitoring device of the vehicle to be charged itself, and a monitoring device of another vehicle in the parking lot;

if the target charging environment comprises the periphery of the building, acquiring environmental information from a monitoring platform of the building;

and if the target charging environment comprises a commercial block, acquiring environment information from a monitoring platform of the commercial block.

In an alternative embodiment, the loss degree prediction module 302 is configured to:

inputting the environmental information into a loss prediction model to obtain the loss degree output by the loss prediction model, wherein the loss degree is used as the predicted loss degree caused by a charging risk event if the vehicle to be charged is charged in a target charging environment;

the loss prediction model is obtained by training based on the designated information of the historical charging risk event;

the specific information of the historical charging risk event comprises: environmental information of the occurrence environment of the historical charging risk event and the degree of the resulting loss.

In an optional implementation manner, if the preset mapping relationship includes: the loss degree, the charging strategy and the mapping relation of the charging reference information of the specified type; the specified type of charging reference information includes at least one of weather information and information of a power battery of the vehicle, the charging policy determination module 303 includes:

the charging control device comprises a reference information acquisition unit, a charging control unit and a charging control unit, wherein the reference information acquisition unit is used for acquiring specified types of charging reference information corresponding to a vehicle to be charged;

and the charging strategy determining unit is used for determining a charging strategy corresponding to the determined loss degree and the acquired specified type of charging reference information according to a preset mapping relation, and the charging strategy is used as a target charging strategy.

The loss degree in the preset mapping relation comprises a first loss degree and a second loss degree, and the charging strategy in the preset mapping relation comprises a first charging strategy corresponding to the first loss degree and a second charging strategy corresponding to the second loss degree; the first degree of loss is higher than the second degree of loss.

The first charging strategy comprises charging by adopting a first current, and controlling the capacity of the power battery to be less than or equal to a preset capacity threshold value when the charging is finished. The second charging strategy includes charging with a second current. The first current is less than the second current.

By adopting the device provided by the embodiment of the invention, the purpose that the loss degree caused by the charging risk event in the target charging environment is taken as one of the determination bases of the adopted charging strategy when the automobile is charged is realized, so that the vehicle is controlled to be charged through the determined charging strategy, the charging risk event in the target environment can be avoided to a certain extent, and the safety of the vehicle to be charged in the target charging environment is improved.

Example 4

Fig. 4 is a schematic diagram of a hardware structure of an electronic device 400 for implementing various embodiments of the present invention, where the electronic device 400 includes, but is not limited to: radio frequency unit 401, network module 402, audio output unit 403, input unit 404, sensor 405, display unit 406, user input unit 407, interface unit 408, memory 409, processor 410, and power supply 411. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 4 does not constitute a limitation of the electronic device, and that the electronic device may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the electronic device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.

Wherein, the processor 410 is used for environment information; the environment information represents the loss degree of the vehicle to be charged if a charging risk event occurs during charging in a target charging environment; predicting the loss degree of the vehicle to be charged caused by the charging risk event when the vehicle to be charged is charged in the target charging environment based on the environment information; determining a charging strategy corresponding to the determined loss degree as a target charging strategy according to a preset mapping relation between the loss degree and the charging strategy; each charging strategy in the preset mapping relation is a charging strategy which is verified in advance and can avoid charging risk events if a charging vehicle is charged; and charging the vehicle to be charged based on the target charging strategy in the process of charging the vehicle to be charged in the target charging environment.

In an alternative embodiment, predicting a loss degree of a vehicle to be charged in a target charging environment if a charging risk event occurs based on environment information includes:

inputting the environmental information into a loss prediction model to obtain the loss degree output by the loss prediction model, wherein the loss degree is used as the predicted loss degree caused by a charging risk event if the vehicle to be charged is charged in a target charging environment; the loss prediction model is obtained by training based on the designated information of the historical charging risk event; the specific information of the historical charging risk event comprises: environmental information of the occurrence environment of the historical charging risk event and the degree of the resulting loss.

In an optional embodiment, the obtaining environmental information representing a degree of loss of the vehicle to be charged in the target charging environment if a charging risk event occurs includes: determining a type of a target charging environment; and acquiring environment information from an information source matched with the type of the target charging environment according to the type of the target charging environment.

In an alternative embodiment, obtaining the environment information from the information source matched with the type of the target charging environment according to the type of the target charging environment comprises:

In an optional implementation, the presetting of the mapping relationship includes: the loss degree, the charging strategy and the mapping relation of the charging reference information of the specified type; the method for determining the charging strategy comprises the following steps that the designated type of charging reference information comprises at least one of meteorological information and information of a power battery of the vehicle, and the charging strategy corresponding to the determined loss degree is determined according to a preset mapping relation and serves as a target charging strategy, and the method comprises the following steps: acquiring charging reference information of a specified type corresponding to a vehicle to be charged; and determining a charging strategy corresponding to the determined loss degree and the acquired specified type of charging reference information according to a preset mapping relation, and taking the charging strategy as a target charging strategy.

A memory 409 for storing a computer program operable on the processor 410, the computer program, when executed by the processor 410, performing the above-described functions performed by the processor 410.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 401 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 410; in addition, the uplink data is transmitted to the base station. Typically, radio unit 401 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. Further, the radio unit 401 can also communicate with a network and other devices through a wireless communication system.

The electronic device provides wireless broadband internet access to the user via the network module 402, such as assisting the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.

The audio output unit 403 may convert audio data received by the radio frequency unit 401 or the network module 402 or stored in the memory 409 into an audio signal and output as sound. Also, the audio output unit 403 may also provide audio output related to a specific function performed by the electronic apparatus 400 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 403 includes a speaker, a buzzer, a receiver, and the like.

The input unit 404 is used to receive audio or video signals. The input Unit 404 may include a Graphics Processing Unit (GPU) 4041 and a microphone 4042, and the Graphics processor 4041 processes image data of a still picture or video obtained by an image capturing apparatus (such as a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 406. The image frames processed by the graphic processor 4041 may be stored in the memory 409 (or other storage medium) or transmitted via the radio frequency unit 401 or the network module 402. The microphone 4042 may receive sound, and may be capable of processing such sound into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 401 in case of the phone call mode.

The electronic device 400 also includes at least one sensor 404, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 4061 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 4061 and/or the backlight when the electronic apparatus 400 is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of an electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 405 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which will not be described in detail herein.

The display unit 406 is used to display information input by the user or information provided to the user. The Display unit 406 may include a Display panel 4061, and the Display panel 4061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 407 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device. Specifically, the user input unit 407 includes a touch panel 4071 and other input devices 4072. Touch panel 4071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 4071 using a finger, a stylus, or any suitable object or attachment). The touch panel 4071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 410, receives a command from the processor 410, and executes the command. In addition, the touch panel 4071 can be implemented by using various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 4071, the user input unit 407 may include other input devices 4072. Specifically, the other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a track ball, a mouse, and a joystick, which are not described herein again.

Further, the touch panel 4071 can be overlaid on the display panel 4061, and when the touch panel 4071 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 410 to determine the type of the touch event, and then the processor 410 provides a corresponding visual output on the display panel 4061 according to the type of the touch event. Although in fig. 4, the touch panel 4071 and the display panel 4061 are two independent components to implement the input and output functions of the electronic device, in some embodiments, the touch panel 4071 and the display panel 4061 may be integrated to implement the input and output functions of the electronic device, and the implementation is not limited herein.

The interface unit 408 is an interface for connecting an external device to the electronic apparatus 400. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 408 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the electronic apparatus 400 or may be used to transmit data between the electronic apparatus 400 and an external device.

The memory 409 may be used to store software programs as well as various data. The memory 409 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 409 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 410 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 409 and calling data stored in the memory 409, thereby performing overall monitoring of the electronic device. Processor 410 may include one or more processing units; preferably, the processor 410 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 410.

The electronic device 400 may further include a power supply 411 (e.g., a battery) for supplying power to various components, and preferably, the power supply 411 may be logically connected to the processor 410 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.

In addition, the electronic device 400 includes some functional modules that are not shown, and are not described in detail herein.

Preferably, an embodiment of the present invention further provides an electronic device, which includes a processor 410, a memory 409, and a computer program that is stored in the memory 409 and can be run on the processor 410, and when being executed by the processor 410, the computer program implements each process of the above charging control method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.

The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above charging control method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A charge control method, comprising:

predicting the loss degree of the vehicle to be charged, which is caused if a charging risk event occurs when the vehicle to be charged is charged in the target charging environment, based on the environment information;

acquiring appointed type charging reference information corresponding to the vehicle to be charged, wherein the appointed type charging reference information represents a constraint item for determining a charging strategy, and the appointed type charging reference information comprises at least one of meteorological information and information of a power battery of the vehicle;

determining a charging strategy corresponding to the predicted loss degree and the acquired specified type of charging reference information according to a preset mapping relation, and taking the charging strategy as a target charging strategy; wherein the preset mapping relationship comprises: the charging method comprises the following steps that the loss degree, the charging strategies and the specified type of charging reference information are mapped, and all the charging strategies in the preset mapping relation are pre-verified charging strategies capable of avoiding charging risk events if a charging vehicle is charged;

2. The method of claim 1, wherein predicting, based on the environmental information, a degree of loss of the vehicle to be charged in the target charging environment if a charging risk event occurs comprises:

inputting the environmental information into a loss prediction model to obtain the loss degree output by the loss prediction model, wherein the loss degree is used as the predicted loss degree caused by charging risk events if the vehicle to be charged is charged in the target charging environment;

3. The method of claim 1 or 2, wherein the environmental information comprises at least one of:

the type of charging environment;

a type of target object in the charging environment;

specifying a distribution density of target objects of a type in a charging environment;

the number of types of target objects in the charging environment is specified.

4. The method of claim 3, wherein obtaining environmental information characterizing a degree of loss of the vehicle to be charged in the target charging environment if a charging risk event occurs comprises:

determining a type of the target charging environment;

and acquiring the environment information from an information source matched with the type of the target charging environment according to the type of the target charging environment.

5. The method of claim 4, wherein obtaining the environmental information from an information source matching the type of the target charging environment according to the type of the target charging environment comprises:

if the type of the target charging environment comprises a parking lot, acquiring the environment information from a specified device related to the parking lot; the related specified device comprises at least one of a monitoring platform of the parking lot, a monitoring device of the vehicle to be charged and a monitoring device of other vehicles in the parking lot;

if the target charging environment comprises the periphery of a building, acquiring the environment information from a monitoring platform of the building;

and if the target charging environment comprises a commercial block, acquiring the environment information from a monitoring platform of the commercial block.

6. The method of claim 1, wherein:

the loss degree in the preset mapping relation comprises a first loss degree and a second loss degree, and the charging strategy in the preset mapping relation comprises a first charging strategy corresponding to the first loss degree and a second charging strategy corresponding to the second loss degree;

the first charging strategy comprises the steps of charging by adopting a first current, and controlling the capacity of a power battery to be less than or equal to a preset capacity threshold value when the charging is finished;

the second charging strategy comprises charging with a second current;

the first degree of loss is higher than the second degree of loss;

the first current is less than the second current.

7. A charging control device is characterized by comprising an environmental information acquisition module, a loss degree prediction module, a charging strategy determination module and a charging control module, wherein:

the loss degree prediction module is used for predicting the loss degree of the vehicle to be charged, which is caused if a charging risk event occurs when the vehicle to be charged is charged in the target charging environment, based on the environment information;

the charging strategy determining module is used for acquiring specified type of charging reference information corresponding to the vehicle to be charged, the specified type of charging reference information represents a constraint item for determining a charging strategy, and the specified type of charging reference information comprises at least one of meteorological information and information of a power battery of the vehicle; determining a charging strategy corresponding to the predicted loss degree and the acquired specified type of charging reference information according to a preset mapping relation, and taking the charging strategy as a target charging strategy; wherein the preset mapping relationship comprises: the charging method comprises the following steps that the loss degree, the charging strategies and the specified type of charging reference information are mapped, and all the charging strategies in the preset mapping relation are pre-verified charging strategies capable of avoiding charging risk events if a charging vehicle is charged;

8. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the charge control method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, realizes the steps of the charge control method according to any one of claims 1 to 6.