WO2021136493A1 - 一种充电控制方法、装置、电子设备及系统 - Google Patents

一种充电控制方法、装置、电子设备及系统 Download PDF

Info

Publication number
WO2021136493A1
WO2021136493A1 PCT/CN2020/142073 CN2020142073W WO2021136493A1 WO 2021136493 A1 WO2021136493 A1 WO 2021136493A1 CN 2020142073 W CN2020142073 W CN 2020142073W WO 2021136493 A1 WO2021136493 A1 WO 2021136493A1
Authority
WO
WIPO (PCT)
Prior art keywords
charging
charged
environment
degree
loss
Prior art date
Application number
PCT/CN2020/142073
Other languages
English (en)
French (fr)
Inventor
马涛
Original Assignee
恒大新能源汽车投资控股集团有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 恒大新能源汽车投资控股集团有限公司 filed Critical 恒大新能源汽车投资控股集团有限公司
Publication of WO2021136493A1 publication Critical patent/WO2021136493A1/zh

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/66—Data transfer between charging stations and vehicles
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

Definitions

  • the present invention relates to the field of charging technology, in particular to a charging control method, device, electronic equipment and system.
  • the motor drive has the advantages of energy saving and environmental protection, there are certain risks in some scenarios.
  • the power battery may explode due to excessive charging current or excessive charging of the power battery, causing property damage and even casualties. How to avoid as much as possible the safety risks that may arise during the charging process of electric vehicles is a problem that needs to be solved urgently.
  • the embodiment of the present invention provides a charging control method to solve the problem of how to avoid possible safety risks in the charging process of electric vehicles in the prior art.
  • Embodiments of the present invention also provide a charging control device, a charging control system, a charging control electronic device, and a computer-readable storage medium.
  • a charging control method includes: obtaining environmental information; the environmental information characterizes the degree of loss caused by a charging risk event when a vehicle to be charged is charged in a target charging environment; based on the environmental information, predicting that the vehicle to be charged is at the target The degree of loss caused by a charging risk event during charging in the charging environment; according to the preset mapping relationship between the degree of loss and the charging strategy, the charging strategy corresponding to the predicted degree of loss is determined as the target charging strategy; among them, the preset mapping
  • the charging strategies in the relationship are all pre-verified charging strategies that can avoid the occurrence of charging risk events when the charged vehicle is charging; during the charging process of the vehicle to be charged in the target charging environment, based on the target charging strategy, treat the charged vehicle Charge it.
  • a charging control device includes an environmental information acquisition module, a loss degree prediction module, a charging strategy determination module, and a charging control module, wherein: the environmental information acquisition module is used to acquire environmental information; the environmental information indicates that the vehicle to be charged is at the target The degree of loss caused by a charging risk event during charging in the charging environment; the loss degree prediction module is used to predict the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment based on environmental information; The charging strategy determination module is used to determine the charging strategy corresponding to the predicted loss degree according to the preset mapping relationship between the loss degree and the charging strategy as the target charging strategy; wherein, each charging strategy in the preset mapping relationship is A pre-verified charging strategy that can avoid a charging risk event of a charged vehicle during charging; a charging control module is used to charge the vehicle to be charged based on the target charging strategy during the charging process of 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 capable of running on the processor, the computer program being executed by the processor to implement the charging control method as described above A step of.
  • a computer-readable storage medium having a computer program stored on the computer-readable storage medium, and when the computer program is executed by a processor, realizes the steps of the charging control method as described above.
  • FIG. 1a is a schematic diagram of the implementation process of a charging control method according to an embodiment of the present invention
  • FIG. 1b is a schematic diagram of the implementation process of a charging control method according to an embodiment of the present invention.
  • FIG. 1c is a schematic diagram of the implementation process of a charging control method according to an embodiment of the present invention.
  • FIG. 2 is a schematic diagram of the implementation process of a charging control method provided by an embodiment of the present invention in an actual application scenario
  • FIG. 3 is a schematic diagram of a specific structure of a charging control device provided by an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.
  • an embodiment of the present invention provides a charging control method.
  • the execution subject of the method may be various types of charging equipment, automobiles, etc., or may be an application program or application (APP) installed on the charging equipment or automobile.
  • the charging equipment may be, for example, a charging pile, a charging gun, a charging machine, a charging stand, a charging box, a charging cabinet, a charging station, and the like.
  • the embodiment of the present invention uses a charging pile with a charging function and a processor as an example to introduce the method.
  • the charging pile can be understood as a kind of intelligent charging pile.
  • it can also have the function of communicating with the communication module and server of the car.
  • the embodiment of the present invention uses the charging pile as an example to introduce the method, which is only an exemplary description and does not limit the protection scope of the claims corresponding to this solution.
  • charging risk events described below include safety incidents caused by charging due to excessive charging current of the power battery or excessive charging of the power battery, such as causing objects including charging vehicles to catch fire Or explosion, etc.
  • Historical charging risk events refer to charging risk events that have occurred.
  • the inventor analyzed historical charging risk events and losses caused by historical charging risk events (for example, property loss or personal injury, etc.), and found that historical charging risk events occurred in different environments and the degree of loss caused was also different.
  • the degree of loss caused by a charging risk event is relative to that in a sparsely-traveled area far from the building (such as a suburban area).
  • the damage caused by the charging risk event in the parking lot is even greater.
  • the prior art urgently needs a charging control method based on the consideration of the charging environment that can ensure the safety of the charging of the vehicle to be charged.
  • This method can especially be based on the predicted charging risk event caused by the charging in the target charging environment.
  • the degree of loss is to control the power battery of the vehicle to be charged to adopt different charging strategies to avoid charging risk events when the vehicle to be charged is charged in different charging environments.
  • the embodiment of the present invention proposes a method for controlling the charging of a vehicle to be charged based on the charging environment.
  • the environmental information of the vehicle to be charged can be obtained first, and then based on the environmental information, predict the vehicle to be charged
  • the charging strategy corresponding to the predicted loss degree is determined, as the target charging strategy, and based on The target charging strategy is to charge the vehicle to be charged.
  • FIG. 1a the implementation process of the method provided by the embodiment of the present invention is shown in FIG. 1a, and includes the following steps.
  • Step 101 Obtain environmental information; the environmental information represents the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment.
  • the environmental information may be actively collected by the vehicle to be charged and sent to the charging pile as the execution subject. For example, after the vehicle to be charged stops near the charging pile, a communication connection can be established with the charging pile, and then, based on the communication connection, the environmental information collected by the vehicle to be charged is sent to the charging pile.
  • the environment information is an image of the target charging environment
  • the vehicle to be charged can take an image of the target charging environment through its own camera, and send the image to the charging pile.
  • the vehicle to be charged can establish a communication connection with the charging pile equipped with the wifi module/Bluetooth module based on the wifi module/Bluetooth module.
  • the vehicle to be charged can be connected to a server in the Internet/Internet of Things/Internet of Vehicles, and the server acts as an information transmission intermediary between the charging pile and the vehicle to be charged, thereby establishing a connection between the vehicle to be charged, the server and the charging pile. Communication connection.
  • the environmental information may also be actively obtained from the information source by the charging pile. After the vehicle to be charged stops near the charging pile, it can establish a connection with the charging pile in the above-mentioned manner, and notify the charging pile to collect environmental information.
  • the environmental information is an image of the target charging environment
  • the charging pile uses its own camera to capture the image of the target charging environment, or the charging pile may directly obtain the image of the target charging environment from its own storage space and save it in advance. The environmental information in the storage space.
  • the charging pile may obtain the environmental information collected and saved by the third party from the third party.
  • the third-party system may include a charging pile-electric vehicle battery management system, a charging pile APP or a charging pile-background service management system, etc.
  • the target charging environment can be understood as the area/place where the vehicle to be charged is charged.
  • the area/place may be, for example, parking lots, buildings around, urban roads or commercial blocks and other areas where charging equipment is installed.
  • the parking lot may include an underground parking lot, an open-air dedicated parking lot, an urban temporary parking lot or a community parking lot, and other parking areas with charging equipment.
  • the surroundings of the building may include residential neighborhoods, shopping malls/shopping malls/department buildings, public activity centers, schools, or office buildings.
  • Commercial blocks can include pedestrian streets, financial streets or squares in the city center.
  • the aforementioned charging device may be, for example, a charging pile, a charging gun, a charger, a charging stand, a charging box, a charging cabinet, or a charging station.
  • the embodiment of the present invention will be described by taking the charging device as a charging pile as an example.
  • the explosion/fire of the power battery may endanger life safety or cause property damage, which can be called a charging risk event.
  • the degree of loss caused by the charging risk event can be understood as the size of the property loss that may be caused in the case of an explosion/fire event during the charging process, and/or the degree of casualties (number of casualties, degree of injury, etc.) .
  • the above environmental information can be used to characterize the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment.
  • the environmental information may include: the type of the charging environment and the target object in the charging environment At least one of the type, the distribution density of target objects of the specified type in the charging environment, or the number of target objects of the 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 surrounding type.
  • the type of the target object in the charging environment can be people, vehicles, or buildings;
  • the distribution density of a specified type of target object in the charging environment can include the distribution density of people in the charging environment, and the distribution density of vehicles in the charging environment.
  • the distribution density or the distribution density of the building in the charging environment can be people, vehicles, or buildings;
  • the distribution density of people in the charging environment can 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 target charging environment taken, for example, the distribution density of people in the charging environment It can 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 target charging environment captured.
  • the distribution density of buildings and vehicles in the charging environment can also be determined by the above-mentioned method. In order to avoid repetition, the description is omitted here.
  • the number of target objects of a specified type in the charging environment may also be determined according to the image of the target charging environment provided by the information source.
  • it may also include geographic location information, real-time traffic information, human flow, number of permanent residents, building types, city information, etc. of the target charging environment.
  • the environmental information of different types of target charging environments may have different collection equipment, that is, when the charging pile obtains environmental information, it is targeted for different types.
  • the target charging environment may face different information sources. Therefore, as shown in FIG. 1b, in one embodiment, the following methods may also be used to obtain environmental information.
  • Step 1011 Determine the type of target charging environment.
  • the type of the target charging environment can be understood as the type of the area where the vehicle to be charged is charged.
  • the type of the target charging environment can be divided into three types: parking lots, building surroundings, and commercial blocks according to the target objects contained in the area.
  • kind of type can be considered as the type of the area where the vehicle to be charged is charged.
  • an image around the target charging environment may be collected through a charging pile-background service management system, and then the images may be analyzed to determine the type of the target charging environment.
  • the vehicle to be charged when acquiring the image around the target charging environment, the vehicle to be charged may be taken as the center, and the image of the area whose distance from the center is less than or equal to the preset radius may be acquired.
  • the charging pile can also directly match the position on the map of the target charging environment where the charging vehicle/charging pile is currently located based on the GPS positioning information of the vehicle/charging pile to be charged and combined with the stored map data, and then determine that the position belongs to Parking lot, building surrounding or commercial block, etc., so as to determine the type of target charging environment.
  • Step 1012 According to the type of the target charging environment, obtain environmental information from an information source that matches the type of the target charging environment.
  • a monitoring platform or monitoring device that monitors the conditions of the target charging environment.
  • a camera for shooting environmental conditions there may be a monitoring device; the image captured by the camera can be transmitted to the server of the security center for storage and image processing.
  • the charging pile as the execution subject in the embodiment of the present invention can obtain environmental information from the monitoring platform/monitoring equipment matching the type of the target charging environment.
  • the information source matching the type of the target charging environment can be determined according to the matching relationship shown in Table 1, and then the environment information can be obtained from the corresponding information source. For example, if it is determined in step 1011 that the type of the target charging environment is a parking lot, the environment information can be obtained from the monitoring platform of the parking lot, the monitoring equipment of the vehicle to be charged, or the monitoring equipment of other vehicles in the parking lot.
  • the charging pile as the main body of execution can establish a communication connection with these information sources in advance, so that environmental information can be obtained from these information sources.
  • Step 102 Based on the environmental information, predict the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment.
  • the target objects subject to safety risks may be different, so if a charging risk event occurs There are certain differences in the degree of loss.
  • the target objects contained therein can usually be vehicles, etc.; when the charging environment is around a building, the target objects may be mostly buildings; and when the charging environment is a commercial block, its target objects may be mostly buildings.
  • the target audience is usually people.
  • a mapping relationship between the environmental information and the degree of loss caused by a charging risk event when charging occurs in the charging environment can be preset according to the environmental information, for example, as shown in Table 2-1 To 2-4. In this way, based on the acquired environmental information and the mapping relationships shown in Tables 2-1 to 2-4, it is possible to predict the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment.
  • the environment information is shown in the related content described in step 101, which may include: the type of the charging environment, the type of the target object in the charging environment, the distribution density of the specified type of target object in the charging environment, or the specified type of target object in the charging environment. At least one of the quantities in the charging environment.
  • Table 2-1 is the mapping relationship between the charging environment type and the loss degree in the charging environment information
  • Table 2-2 is the mapping relationship between the target object type and the loss degree in the charging environment information
  • Table 2-3 is The mapping relationship between the distribution density of the specified type of target object in the charging environment and the degree of loss in the charging environment information
  • Table 2-4 is the mapping between the number of the specified type of target object in the charging environment information and the degree of loss in the charging environment relationship.
  • Type of charging environment Extent of loss Business district Significant loss
  • the information that characterizes the distribution density of people can be determined by the number of people in the image of the target charging environment captured by the monitoring device or monitoring platform, and the area of the target charging environment captured.
  • the population density can be equal to the image captured by the monitoring device or monitoring platform.
  • the distribution density of buildings and vehicles can also be determined using the above-mentioned method.
  • the following method may also be used to predict the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target environment.
  • the environmental information is input into the loss prediction model to obtain the degree of loss output by the loss prediction model as the predicted degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment.
  • the loss prediction model is trained based on the specified information of historical charging risk events.
  • the designated information of the historical charging risk event includes: environmental information of the environment in which the historical charging risk event occurred and the degree of loss caused.
  • the loss prediction model can be trained in a supervised learning manner or an unsupervised learning manner based on the designated information of historical charging risk events.
  • the following takes the supervised learning method as an example to explain the training process of the loss prediction model.
  • the following steps A to E can be used to train to obtain the loss prediction model.
  • a preset number of historical charging risk event samples and corresponding loss degree classification label information can be collected in advance, where the loss degree classification label may include, for example, major loss, second major loss, and general loss.
  • the initialization value can be 1.
  • the above method of training a loss prediction model is only an exemplary description, and does not impose any limitation on the embodiment of the present invention.
  • Step 103 According to the preset mapping relationship between the loss degree and the charging strategy, a charging strategy corresponding to the predicted loss degree is determined as the target charging strategy.
  • the preset mapping relationship may be stored in the local storage space of the charging pile.
  • 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.
  • the charging strategy corresponding to the predicted loss degree can be determined as the target charging strategy.
  • the loss degree in the preset mapping relationship may include the first loss degree and the second loss degree
  • the charging strategy may include the first charging strategy and the second charging strategy.
  • the first degree of loss is higher than the second degree of loss.
  • the first degree of loss can be, for example, the major loss degree and the second major loss degree described above; the second degree of loss can be, for example, the general loss degree described above.
  • the "first charging strategy" can be determined as the target charging strategy.
  • the preset capacity threshold generally does not exceed the rated capacity of the power battery.
  • the first current is smaller than the second current.
  • the second current generally does not exceed the rated charging current of the power battery, that is, it does not exceed the maximum charging current that the power battery can use.
  • the above-mentioned second charging strategy may also include a control target for the capacity of the power battery.
  • a control target for the capacity of the power battery may include: controlling the capacity of the power battery when the charging is completed to be equal to the rated capacity of the power battery.
  • step 103 is an introduction to a conventional implementation of step 103.
  • the above-mentioned preset mapping relationship may further include some other constraint items for determining the charging strategy. A specific description will be given below.
  • the resistance value of the insulation resistance of the power battery may change.
  • the lithium ions in the power battery may be excessively deintercalated from the positive electrode of the power battery, so that the insulation resistance of the power battery becomes smaller, resulting in an internal short circuit of the power battery, which poses a safety risk.
  • the charging environment temperature is high, the stability of the positive electrode of the power battery may decrease, and the charging process may also have safety risks.
  • the charging environment temperature is too high or the charging environment temperature is too low will have an impact on the charging safety of the power battery.
  • meteorological information such as the air humidity of the charging environment, the wind direction of the charging environment, and the wind level may more or less affect the performance of electric vehicles and other safety aspects. It can be seen that charging Environmental weather information plays an important role in the charging process.
  • the meteorological information of the charging environment in which the vehicle to be charged is located may also be considered as one of the constraint items for determining the charging strategy.
  • the embodiment of the present invention can also obtain information about the power battery corresponding to the vehicle to be charged when determining the target charging strategy. As one of the constraints for determining the charging strategy.
  • the attribute information of the power battery may include, for example, the rated capacity of the power battery and the status information of the power battery.
  • the state information of the power battery may include, for example, the state of charge of the power battery and/or the health of the power battery.
  • the rated capacity of the power battery represents the total power released by the power battery in a fully charged state.
  • the health of the power battery indicates the ratio of the discharged capacity to the corresponding nominal capacity from the fully charged state to the cut-off voltage at a certain rate under standard conditions, which can reflect the aging state of the power battery.
  • the state of charge of the power battery can represent the ratio of the remaining capacity of the power battery to the rated capacity of the battery.
  • the above-mentioned constraint items used to determine the charging strategy are all referred to as reference information of a specified type of target charging strategy.
  • the preset mapping relationship may further include: the mapping relationship between the loss degree, the charging strategy, and the specified type of charging reference information, as shown in Table 4 below.
  • the specified type of charging reference information includes at least one of meteorological information of the charging environment and information of the power battery of the vehicle.
  • the temperature range that is too low may be T ⁇ 15°C
  • the normal temperature range may be 15°C ⁇ T ⁇ 30°C
  • the temperature range that is too high may be T>30°C.
  • An excessively low humidity interval may be RH ⁇ 40%rh
  • a normal humidity interval may be 40%rh ⁇ RH ⁇ 60%rh
  • an excessively low humidity interval may be RH>60%rh.
  • step 1031 to step 1032 as shown in FIG. 1c can be used to determine the target charging strategy.
  • Step 1031 Obtain charging reference information of a specified type corresponding to the vehicle to be charged.
  • the specified type of charging reference information includes at least one of weather information and information about the power battery of the vehicle.
  • the weather information can be obtained from the server that provides weather information by the charging pile based on the location information of the target charging environment; the information of the vehicle's power battery can be actively sent to the charging pile by the vehicle to be charged.
  • the meteorological information may include the temperature of the charging environment, the air humidity of the charging environment, the wind direction of the charging environment, or the 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 status information of the power battery.
  • step 1032 may be executed to determine the target charging strategy.
  • Step 1032 According to the preset mapping relationship, determine the charging strategy corresponding to the loss degree determined by performing step 102 and the specified type of charging reference information obtained by performing step 1031 as the target charging strategy.
  • the target can be determined according to the preset mapping relationship shown in Table 4
  • the charging strategy is the first charging strategy, that is, the first current is used to charge the vehicle to be charged, and the capacity of the power battery is monitored during the charging process.
  • the charging pile is controlled to stop charging.
  • Step 104 During the charging process of the vehicle to be charged in the target charging environment, the vehicle to be charged is charged based on the target charging strategy.
  • the charging pile can charge the vehicle to be charged according to the first charging current, and based on the information of the battery capacity fed back by the charging vehicle, When it is monitored that the capacity of the power battery reaches the preset capacity threshold, the charging is stopped.
  • the charging pile can be less than The charging current of 30A charges the vehicle to be charged, and the charging is stopped when the capacity of the power battery reaches 2430mAh (2700*90%) based on the battery capacity information fed back by the charging vehicle.
  • the charging environment information, the charging strategy corresponding to the environment information, and the charging current and maximum charging capacity of the charging strategy may be pre-stored in a charging device (such as a charging pile).
  • a charging device such as a charging pile.
  • the charging device receives the target charging strategy, it can select the charging current corresponding to the target charging strategy to charge in the target charging environment according to the target charging strategy.
  • the power battery reaches the maximum charging capacity corresponding to the target charging strategy, charging ends.
  • the type of the charging pile can be, but is not limited to, vehicle-mounted, portable, wall-mounted, or floor-standing.
  • the degree of loss caused by a charging risk event occurs in the target charging environment is used as one of the basis for determining the charging strategy adopted, so as to determine The charging strategy controls the vehicle to charge, which can avoid charging risk events to a certain extent when charging in the target environment, and improve the safety of the vehicle to be charged when charging in the target charging environment.
  • FIG. 2 is a schematic diagram of an application process of the method provided by the embodiment of the present invention in practice. The process specifically includes the following steps.
  • Step 201 When the charging background detects that the charging device is connected to the vehicle to be charged, the charging background receives the information of the power battery of the vehicle to be charged collected by the charging device and the third-party information platform that indicates that the vehicle to be charged is charged in the target charging environment. Environmental information about the degree of loss caused by a charging risk event at any time.
  • the third-party information platform includes: a monitoring platform of the vehicle monitoring device or the environment where the charging device is located.
  • step 202 after the charging background receives the information of the power battery and the charging environment information, the intelligent charging model can be triggered based on the environment information to determine the degree of loss caused by a charging risk event during charging in the current environment.
  • the preset mapping relationship between the environmental information and the degree of loss can be referred to the above-mentioned Tables 2-1 to 2-4. In order to avoid repeating the description, it will not be described here.
  • Step 203 After the charging background receives the loss degree sent by the smart charging model, the corresponding target charging strategy is determined based on the loss degree.
  • the charging strategy corresponding to the predicted loss degree can be determined by inquiring the preset mapping relationship according to the transmitted loss degree, as the target charging strategy.
  • the preset mapping relationship can be referred to as shown in Table 3 above. In order to avoid redundant description, it will not be described here.
  • the target charging strategy can be determined as the first charging strategy, that is, the first current charging is used, and based on the feedback of the charged vehicle
  • the battery capacity information is monitored, and the charging is stopped when the capacity of the power battery reaches the preset capacity threshold.
  • step 204 the charging background controls the charging device to charge the vehicle to be charged based on the determined charging strategy.
  • the vehicle to be charged may be charged based on the charging strategy determined in step 203.
  • the charging background can start to collect power battery information and charging environment information at intervals (such as 20 minutes), and input it to the smart charging model. If the output loss of the smart charging model occurs If changes are made, the charging device is controlled to implement a new charging strategy.
  • the degree of loss caused by a charging risk event occurs in the target charging environment is used as one of the basis for determining the charging strategy adopted, so as to determine The charging strategy controls the vehicle to charge, which can avoid charging risk events to a certain extent when charging in the target environment, and improve the safety of the vehicle to be charged when charging in the target charging environment.
  • an embodiment of the present invention provides a charging control device with a schematic diagram of a specific structure of the device As shown in FIG. 3, it includes an environmental information acquisition module 301, a loss degree prediction module 302, a charging strategy determination module 303, and a charging control module 304.
  • the functions of each module are as follows.
  • the environmental information acquisition module 301 is used to acquire environmental information; the environmental information represents the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment.
  • the loss degree prediction module 302 is used to predict the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment based on the environmental information.
  • the charging strategy determining module 303 is used to determine the charging strategy corresponding to the determined loss degree according to the preset mapping relationship between the loss degree and the charging strategy as the target charging strategy; wherein, each charging strategy in the preset mapping relationship is equal to It is a pre-verified charging strategy that can avoid charging risk events when charging vehicles.
  • the charging control module 304 is configured to charge the vehicle to be charged based on the target charging strategy during the charging process of the vehicle to be charged in the target charging environment.
  • the environment information includes: the type of the charging environment and/or the type of the target object in the charging environment and/or the distribution density of the target object of the specified type in the charging environment.
  • the environment information acquisition module 301 includes: an environment type determination unit, configured to determine the type of the target charging environment; an environment information acquisition unit, configured to compare with the target charging environment according to the type of the target charging environment Obtain environmental information from an information source that matches the type of environment.
  • the environmental information acquisition unit includes: if the type of the target charging environment includes a parking lot, acquiring environmental information from a designated device related to the parking lot; and the related designated device includes a parking lot. At least one of the monitoring platform, the monitoring equipment of the vehicle to be charged, and the monitoring equipment of other vehicles in the parking lot; if the target charging environment includes the surroundings of the building, obtain environmental information from the monitoring platform of the building; if the target The charging environment includes commercial blocks, and environmental information is obtained from the monitoring platform of the commercial blocks.
  • the loss degree prediction module 302 is used to: input environmental information into the loss prediction model to obtain the loss degree output by the loss prediction model as the predicted level of the vehicle to be charged when charging in the target charging environment.
  • the degree of loss caused by the occurrence of charging risk events; the loss prediction model is trained based on the designated information of historical charging risk events; the designated information of historical charging risk events includes: environmental information of the environment in which the historical charging risk events occurred and the degree of loss caused.
  • At least one of the charging strategy determination module 303 includes: a reference information acquisition unit for acquiring a specified type of charging reference information corresponding to the vehicle to be charged; a charging strategy determination unit for determining and determining according to a preset mapping relationship The charging strategy corresponding to the obtained loss degree and the obtained specified type of charging reference information is used as the target charging strategy.
  • the loss degree in the preset mapping relationship includes a first loss degree and a second loss degree
  • the charging strategy in the preset mapping relationship includes a first charging strategy corresponding to the first loss degree, and a second loss degree The corresponding second charging strategy; the first loss degree is higher than the second loss degree.
  • the first charging strategy includes charging with a first current, and controlling the capacity of the power battery when the charging is completed to be less than or equal to a preset capacity threshold.
  • the second charging strategy includes charging with a second current. The first current is less than the second current.
  • the degree of loss caused by a charging risk event in the target charging environment is used as one of the basis for determining the charging strategy adopted, thereby passing
  • the determined charging strategy controls the charging of the vehicle, which can avoid charging risk events when charging in the target environment to a certain extent, and improve the safety of the vehicle to be charged when charging in the target charging environment.
  • the electronic device 400 includes but is not limited to: a radio frequency unit 401, a network module 402, an audio output unit 403, an input unit 404, a sensor 405, and a display unit 406, a user input unit 407, an interface unit 408, a memory 409, a processor 410, a power supply 411 and other components.
  • a radio frequency unit 401 includes but is not limited to: a radio frequency unit 401, a network module 402, an audio output unit 403, an input unit 404, a sensor 405, and a display unit 406, a user input unit 407, an interface unit 408, a memory 409, a processor 410, a power supply 411 and other components.
  • the electronic device may include more or fewer components than those shown in the figure, or a combination of certain components, or different components. Layout.
  • electronic devices include, but are not limited to, mobile phones, tablet computers, notebook computers, palmtop computers, vehicle-mounted terminals, wearable devices, and pedometers.
  • the processor 410 is used for environmental information; the environmental information represents the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment; based on the environmental information, it is predicted that the vehicle to be charged is charging at the target The degree of loss caused by a charging risk event during charging in the environment; according to the preset mapping relationship between the degree of loss and the charging strategy, the charging strategy corresponding to the determined degree of loss is determined as the target charging strategy; among them, the preset mapping relationship
  • Each charging strategy in the charging strategy is a pre-verified charging strategy that can avoid the occurrence of a charging risk event when the charged vehicle is charging; during the charging process of the vehicle to be charged in the target charging environment, based on the target charging strategy, the vehicle to be charged is performed Recharge.
  • predicting the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment includes: inputting environmental information into a loss prediction model to obtain a loss prediction The degree of loss output by the model is used as the predicted degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment; the loss prediction model is trained based on the specified information of historical charging risk events; the designation of historical charging risk events The information includes: environmental information of the environment where the historical charging risk event occurred and the degree of loss caused.
  • the environment information includes: the type of the charging environment and/or the type of the target object in the charging environment and/or the distribution density of the target object of the specified type in the charging environment.
  • obtaining environmental information that characterizes the degree of loss caused by a charging risk event when the vehicle to be charged is charged in the target charging environment includes: determining the type of the target charging environment; Type, obtain environmental information from an information source that matches the type of the target charging environment.
  • obtaining environmental information from an information source that matches the type of the target charging environment includes: if the type of the target charging environment includes a parking lot, from and parking Obtain environmental information from designated equipment related to the parking lot; the designated equipment includes at least one of the monitoring platform of the parking lot, the monitoring equipment of the vehicle to be charged, and the monitoring equipment of other vehicles in the parking lot; if the target charging environment includes Around the building, environmental information is obtained from the monitoring platform of the building; if the target charging environment includes a commercial block, the environmental information is obtained from the monitoring platform of the commercial block.
  • the preset mapping relationship includes: the mapping relationship between the loss degree, the charging strategy, and the specified type of charging reference information; the specified type of charging reference information includes the meteorological information and the information of the power battery of the vehicle.
  • determining the charging strategy corresponding to the determined degree of loss according to the preset mapping relationship, as the target charging strategy includes: obtaining the specified type of charging reference information corresponding to the vehicle to be charged; determining according to the preset mapping relationship The charging strategy corresponding to the determined loss degree and the obtained specified type of charging reference information is used as the target charging strategy.
  • the memory 409 is configured to store a computer program that can be run on the processor 410, and when the computer program is executed by the processor 410, the above-mentioned functions implemented by the processor 410 are realized.
  • the radio frequency unit 401 can be used to receive and send signals during information transmission or communication. Specifically, the downlink data from the base station is received and processed by the processor 410; in addition, Uplink data is sent to the base station.
  • the radio frequency 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.
  • the radio frequency unit 401 can also communicate with the network and other devices through a wireless communication system.
  • the electronic device provides users with wireless broadband Internet access through the network module 402, such as helping users to send and receive emails, browse web pages, and access streaming media.
  • the audio output unit 403 may convert the 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 it as sound. Moreover, the audio output unit 403 may also provide audio output related to a specific function performed by the electronic device 400 (for example, call signal reception sound, 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.
  • the graphics processor 4041 is configured to monitor images of still pictures or videos obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. Data is processed.
  • the processed image frame can be displayed on the display unit 406.
  • the image frame processed by the graphics processor 4041 may be stored in the memory 409 (or other storage medium) or sent via the radio frequency unit 401 or the network module 402.
  • the microphone 4042 can receive sound, and can process such sound into audio data.
  • the processed audio data can be converted into a format that can be sent to a mobile communication base station via the radio frequency unit 401 in the case of a telephone call mode for output.
  • the electronic device 400 further includes at least one sensor 404, such as a light sensor, a motion sensor, and other sensors.
  • the light sensor includes an ambient light sensor and a proximity sensor.
  • the ambient light sensor can adjust the brightness of the display panel 4061 according to the brightness of the ambient light.
  • the proximity sensor can close the display panel 4061 and the display panel 4061 when the electronic device 400 is moved to the ear. / Or backlight.
  • the accelerometer sensor can detect the magnitude of acceleration in various directions (usually three axes), and can detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of electronic devices (such as horizontal and vertical screen switching, related games) , Magnetometer attitude calibration), vibration recognition related functions (such as pedometer, percussion), etc.; sensor 405 can also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, Infrared sensors, etc., will not be repeated here.
  • 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), etc.
  • LCD liquid crystal display
  • OLED organic light-emitting diode
  • the user input unit 407 may be used to receive inputted numeric or character information, and generate key signal input related to user settings and function control of the electronic device.
  • the user input unit 407 includes a touch panel 4071 and other input devices 4072.
  • the touch panel 4071 also called a touch screen, can collect the user's touch operations on or near it (for example, the user uses any suitable objects or accessories such as fingers, stylus, etc.) on the touch panel 4071 or near the touch panel 4071. operating).
  • the touch panel 4071 may include two parts: a touch detection device and a touch controller.
  • the touch detection device detects the user's touch position, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it To the processor 410, the command sent by the processor 410 is received and executed.
  • the touch panel 4071 can be implemented in multiple types such as resistive, capacitive, infrared, and surface acoustic wave.
  • the user input unit 407 may also include other input devices 4072.
  • other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), trackball, mouse, and joystick, which will not be repeated here.
  • the touch panel 4071 can cover the display panel 4061.
  • the touch panel 4071 detects a touch operation on or near it, it transmits it to the processor 410 to determine the type of the touch event, and then the processor 410 determines the type of the touch event according to the touch.
  • the type of event provides corresponding visual output on the display panel 4061.
  • the touch panel 4071 and the display panel 4061 are used as 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 can be integrated
  • the implementation of the input and output functions of the electronic device is not specifically limited here.
  • the interface unit 408 is an interface for connecting an external device and the electronic device 400.
  • the external device may include a wired or wireless headset port, an external power source (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) port, video I/O port, headphone port, etc.
  • the interface unit 408 can be used to receive input (for example, data information, power, etc.) from an external device and transmit the received input to one or more elements in the electronic device 400 or can be used to connect the electronic device 400 to an external device. Transfer data between devices.
  • the memory 409 can be used to store software programs and various data.
  • the memory 409 may mainly include a storage program area and a storage data area.
  • the storage program area may store an operating system, an application program required by at least one function (such as a sound playback function, an image playback function, etc.), etc.; Data created by the use of mobile phones (such as audio data, phone book, etc.), etc.
  • the memory 409 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.
  • the processor 410 is the control center of the electronic device. It uses various interfaces and lines to connect the various parts of the entire electronic device, runs or executes the software programs and/or modules stored in the memory 409, and calls the data stored in the memory 409 , Perform various functions of electronic equipment and process data, so as to monitor the electronic equipment as a whole.
  • the processor 410 may include one or more processing units; preferably, the processor 410 may integrate an application processor and a modem processor, where the application processor mainly processes the operating system, user interface, application programs, etc., and the modem
  • the processor mainly deals with wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 410.
  • the electronic device 400 may also include a power source 411 (such as a battery) for supplying power to various components.
  • a power source 411 such as a battery
  • the power source 411 may be logically connected to the processor 410 through a power management system, so as to manage charging, discharging, and power consumption management through the power management system. And other functions.
  • the electronic device 400 includes some functional modules not shown, which will not be repeated here.
  • the embodiment of the present invention also provides an electronic device, including a processor 410, a memory 409, and a computer program stored on the memory 409 and running on the processor 410.
  • an electronic device including a processor 410, a memory 409, and a computer program stored on the memory 409 and running on the processor 410.
  • the computer program is executed by the processor 410,
  • the various processes of the embodiments of the charging control method described above are implemented, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.
  • the embodiment of the present invention also provides a computer-readable storage medium, and a computer program is stored on the computer-readable storage medium.
  • a computer program is stored on the computer-readable storage medium.
  • the computer program is executed by a processor, each process of the above charging control method embodiment is realized, and the same technology can be achieved. The effect, in order to avoid repetition, will not be repeated here.
  • the computer-readable storage medium such as read-only memory (Read-Only Memory, ROM for short), random access memory (Random Access Memory, RAM for short), magnetic disk, or optical disk, etc.
  • an embodiment of the present invention also provides a computer program product, the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, when the program instructions are When executed by a computer, the computer is caused to execute the method in any of the foregoing method embodiments.
  • the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device.
  • the device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
  • These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment.
  • the instructions provide steps for implementing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
  • the computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-permanent 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 computer readable media.
  • RAM random access memory
  • ROM read-only memory
  • flash RAM flash memory
  • Computer-readable media include permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology.
  • the information can be computer-readable instructions, data structures, program modules, 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, CD-ROM, digital versatile disc (DVD) or other optical storage, Magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

一种充电控制方法，方法包括：获取环境信息；环境信息表征待充电车辆在目标充电环境中充电时若发生充电风险事件，所造成的损失程度；基于环境信息，预测待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度；根据损失程度与充电策略的预设映射关系，确定与预测出的损失程度对应的充电策略，作为目标充电策略；在待充电车辆在目标充电环境中充电的过程中，基于目标充电策略，对待充电车辆进行充电。一种充电控制装置(300)、充电控制系统、电子设备(400)及计算机可读存储介质。

Description

一种充电控制方法、装置、电子设备及系统
交叉引用
本发明要求在2020年01月03日提交中国专利局、申请号为202010005906.8、发明名称为“一种充电控制方法、装置、电子设备及系统”的中国专利申请的优先权，该申请的全部内容通过引用结合在本发明中。
技术领域
本发明涉及充电技术领域，尤其涉及一种充电控制方法、装置、电子设备及系统。
背景技术
随着用户环保意识的日益增强，许多交通工具，例如电动汽车逐渐向电动领域发展，以车载电源为动力，采用电机驱动车轮行驶，从而代替燃料驱动，以满足环保的需求。
虽然电机驱动存在节能环保的优点，然而，在一些场景下也存在着一定的风险。比如在电动汽车充电过程中，可能由于充电电流过大或者动力电池过度充满，导致动力电池发生爆炸，造成财产损失甚至人员伤亡。如何尽可能规避电动汽车充电过程可能产生的安全风险，是目前亟待解决的问题。
发明内容
本发明实施例提供一种充电控制方法，用以解决现有技术中存在的如何尽可能规避电动汽车充电过程中可能产生的安全风险的问题。
本发明实施例还提供一种充电控制装置，一种充电控制系统，一种充电控制电子设备以及一种计算机可读存储介质。
本发明实施例采用下述技术方案。
一种充电控制方法，包括：获取环境信息；所述环境信息，表征待充电 车辆在目标充电环境中充电时若发生充电风险事件，所造成的损失程度；基于环境信息，预测待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度；根据损失程度与充电策略的预设映射关系，确定与预测出的损失程度对应的充电策略，作为目标充电策略；其中，预设映射关系中的各充电策略，均为预先验证的能够避免充电车辆在充电时若发生充电风险事件的充电策略；在待充电车辆在目标充电环境中充电的过程中，基于目标充电策略，对待充电车辆进行充电。
一种充电控制装置，包括环境信息获取模块、损失程度预测模块、充电策略确定模块和充电控制模块，其中：环境信息获取模块，用于获取环境信息；所述环境信息，表征待充电车辆在目标充电环境中充电时若发生充电风险事件，所造成的损失程度；损失程度预测模块，用于基于环境信息，预测待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度；充电策略确定模块，用于根据损失程度与充电策略的预设映射关系，确定与预测出的损失程度对应的充电策略，作为目标充电策略；其中，预设映射关系中的各充电策略，均为预先验证的能够避免充电车辆在充电时发生充电风险事件的充电策略；充电控制模块，用于在待充电车辆在目标充电环境中充电的过程中，基于目标充电策略，对待充电车辆进行充电。
一种电子设备，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如上所述的充电控制方法的步骤。
一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如上所述的充电控制方法的步骤。
附图说明
此处所说明的附图用来提供对本发明的进一步理解，构成本发明的一部 分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。附图中：
图1a为本发明实施例提供的一种充电控制方法的实现流程示意图；
图1b为本发明实施例提供的一种充电控制方法的实现流程示意图；
图1c为本发明实施例提供的一种充电控制方法的实现流程示意图；
图2为本发明实施例提供的一种充电控制方法在实际应用场景中的实现流程示意图；
图3为本发明实施例提供一种充电控制装置的具体结构示意图；
图4为本发明实施例提供的一种电子设备的结构示意图。
具体实施方式
为使本发明的目的、技术方案和优点更加清楚，下面将结合本发明具体实施例及相应的附图对本发明技术方案进行清楚、完整地描述。显然，所描述的实施例仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
以下结合附图，详细说明本发明各实施例提供的技术方案。
为解决现有技术中存在的如何尽可能规避电动汽车充电过程中可能产生的安全风险的问题，本发明实施例提供一种充电控制方法。
该方法的执行主体，可以是各种类型的充电设备、汽车等，或者，可以是安装于充电设备或汽车上的应用程序或应用(Application，APP)。所述的充电设备，比如可以是充电桩、充电枪、充电机、充电架、充电箱、充电柜、充电站等。
为便于描述，本发明实施例以该方法的执行主体为具备充电功能以及具备处理器的充电桩为例，对该方法进行介绍。该充电桩可以理解为一种智能 充电桩，除了具备充电功能和处理器外，还可以具备与汽车的通信模块和服务器进行通信的功能等。本领域技术人员可以理解，本发明实施例以该充电桩为例对方法进行介绍，仅是一种示例性说明，并不对本方案对应的权利要求保护范围构成限制。
需要说明的是，下文所述的充电风险事件，包括由于动力电池的充电电流过大或动力电池过度充满等原因，而造成的因充电导致的安全事件，如导致包括充电车辆在内的物件起火或爆炸等。历史充电风险事件，则是指已经发生过的充电风险事件。
发明人通过分析历史充电风险事件，以及历史充电风险事件造成的损失(比如，财产损失或人员伤亡等)，发现历史充电风险事件发生的环境不同，所造成的损失程度也有所区别。
例如，在人流密集的建筑物内部(比如，城市中心商场的地下停车场)或者周边充电时，若发生充电风险事件造成的损失程度，相对于在人流稀疏、远离建筑物的区域(比如，郊区停车场)发生充电风险事件造成的损失程度更大。
可见，现有技术亟需一种基于充电环境考虑、可以保证待充电车辆充电安全的充电控制方法，该方法尤其是可以基于预测出的在目标充电环境中充电时若发生充电风险事件所造成的损失程度，控制待充电车辆的动力电池采用不同的充电策略进行充电，以避免待充电车辆在不同充电环境充电时发生充电风险事件。
基于上述分析，本发明实施例提出一种基于充电环境控制待充电车辆充电的方法，在对待充电车辆充电之前，可以先获取待充电车辆所处的环境信息，然后基于该环境信息，预测待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度，根据失程度与充电策略的预设映射关系，确定与预测出的损失程度对应的充电策略，作为目标充电策略，并基于目标充电策略对待充电车辆充电。
具体地，本发明实施例提供的该方法的实现流程如图1a所示，包括如下步骤。
步骤101，获取环境信息；所述环境信息，表征待充电车辆在目标充电环境中充电时若发生充电风险事件，所造成的损失程度。
该环境信息，可以是由待充电车辆主动采集并发送至作为执行主体的该充电桩的。比如，待充电车辆在停靠在充电桩附近后，可以与充电桩建立通信连接，进而，基于该通信连接，将待充电车辆采集到的该环境信息发送给充电桩。在一种实施方式中，若该环境信息为目标充电环境的图像，则待充电车辆可以通过自身的摄像头拍摄目标充电环境的图像，并将图像发送给充电桩。
其中，待充电车辆可以基于wifi模块/蓝牙模块，与具备wifi模块/蓝牙模块的该充电桩建立起通信连接。或者，待充电车辆可以连接至互联网/物联网/车联网中的服务器，再由服务器作为充电桩和待充电车辆之间的信息传递中介，从而建立起待充电车辆、服务器和充电桩之间的通信连接。
或者，该环境信息，也可以是由充电桩主动从信息源获取的。待充电车辆在停靠在充电桩附近后，可以与充电桩采用上述方式建立连接，并通知充电桩进行环境信息采集。在一种实施方式中，若该环境信息为目标充电环境的图像，则充电桩以通过自身的摄像头拍摄目标充电环境的图像，或者，充电桩可以直接从自身的存储空间中，获取预先保存至该存储空间中的该环境信息。
或者，在一种实施方式中，充电桩可以从第三方获取由第三方采集并保存的该环境信息。其中，第三方系统可以包括充电桩-电动汽车电池管理系统、充电桩APP或充电桩-后台服务管理系统等。
目标充电环境，可以理解为待充电车辆充电时所处的区域/场所，例如，该区域/场所比如可以是停车场、建筑物周边、城市道路或商业街区等安装有充电设备的区域。
其中，停车场可以包括地下停车场、露天专用停车场、市区临时停车场或小区停车场等具有充电设备的停车区域。建筑物周边可以包括居民住宅周围、商场/购物中心/百货大楼周边、公共活动中心附近、学校周边或写字楼附近等。商业街区可以包括城市中心的步行街、金融街或广场等。
可选地，上述充电设备例如可以是充电桩、充电枪、充电机、充电架、充电箱、充电柜、或充电站等。以下以充电设备为充电桩为例，对本发明实施例进行说明。
其中，在充电过程中，由于待充电汽车的充电电流过大或动力电池过度充满，导致动力电池发生爆炸/起火等可能危及生命安全或造成财产损失的事件，可以称为充电风险事件。
充电风险事件所造成的损失程度，则可以理解为在充电过程中发生爆炸/起火事件的情况下，可能造成的财产损失的大小，和/或，人员伤亡程度(伤亡人员数量、受伤程度等)。
需要说明的是，上述例举的导致动力电池发生爆炸/起火的原因(充电电流过大或动力电池过度充满)，仅是一种示例性说明，并不对本发明实施例造成限定，在一个实施例中，比如，还可以是由于动力电池本身的质量等问题，导致动力电池发生爆炸/起火。
上述环境信息可以用于表征待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度，实际应用中，所述环境信息可以包括：充电环境的类型、充电环境中的目标对象的类型、指定类型的目标对象在充电环境中的分布密度或指定类型的目标对象在充电环境中的数量中的至少一种。
其中，充电环境的类型例如可以包括商业街区类型、停车场类型或建筑物周边类型。
对应的，充电环境中的目标对象的类型可以是人、车辆或建筑物等；指定类型的目标对象在充电环境中的分布密度可以包括人在充电环境中的分布密度、车辆在充电环境中的分布密度或建筑物在充电环境中的分布密度。
本发明实施例中，人在充电环境中的分布密度，可以根据信息源提供的目标充电环境的图像中的人数，以及拍摄的目标充电环境的面积确定，例如，人在充电环境中的分布密度可以等于信息源提供的目标充电环境的图像中的人数与拍摄的目标充电环境的面积的比值。
同理，建筑物以及车辆在充电环境中的分布密度也可以采用上述方法确定，为避免赘述，此处不再说明。
本发明实施例中，指定类型的目标对象在充电环境中的数量也可以根据信息源提供的目标充电环境的图像确定。
或者，在实际应用中还可以包括目标充电环境的地理位置信息、实时交通信息、人流量、常住人口数量、建筑物类型、城市信息等。
考虑到在实际应用中，可能存在不同类型的目标充电环境，而不同类型的目标充电环境的所述环境信息可能会有不同的采集设备，也即，充电桩在获取环境信息时，针对不同类型的目标充电环境，可能会面对不同的信息源，因此，如图1b所示，在一个实施例中，还可以采用如下方式获取环境信息。
步骤1011，确定目标充电环境的类型。
目标充电环境的类型，可以理解为待充电车辆充电时所处区域的类型，比如，可以按照所处区域包含的目标对象，将目标充电环境的类型划分为停车场、建筑物周边和商业街区三种类型。
可选地，确定目标充电环境的类型时，例如，可以通过充电桩-后台服务管理系统采集目标充电环境周边的图像，然后对图像进行分析，以确定目标充电环境的类型。其中，获取目标充电环境周边的图像时，可以以待充电车辆为中心，获取与该中心的距离小于等于预设半径的区域的图像。或者，充电桩也可以直接根据待充电车辆/充电桩的GPS定位信息，结合存储的地图数据，匹配出待充电车辆/充电桩当前所在的目标充电环境在地图上的位置，进而确定该位置属于停车场、建筑物周边还是商业街区等，从而确定出目标充电环境的类型。
步骤1012，根据目标充电环境的类型，从与目标充电环境的类型相匹配的信息源处获取环境信息。
实际应用中，为了能够对目标充电环境发生的紧急情况进行及时处理，通常会存在对目标充电环境的情况进行监控的监控平台或监控设备。比如，在目标充电环境中可能会设置有用于进行环境情况拍摄的摄像机，该摄像机就是一种监控设备；摄像机拍摄到的图像，可以传输给安全防范中心的服务器进行存储与图像处理等，该服务器就是一种监控平台。
由于监控平台和监控设备处均能够提供所述的环境信息，因此本发明实施例中作为执行主体的充电桩，可以从与目标充电环境的类型相匹配的监控平台/监控设备处获取环境信息。
例如，在一个实施例中，假设目标充电环境的类型与信息源的匹配关系如下表1所示。
表1
Figure PCTCN2020142073-appb-000001
则执行步骤1011确定目标充电环境的类型后，可以根据如表1所示的匹配关系确定与目标充电环境的类型相匹配的信息源，进而从对应的信息源处获取环境信息。例如，假设步骤1011确定目标充电环境的类型为停车场，则可以从停车场的监控平台、待充电车辆自身的监控设备或停车场中的其他车辆的监控设备处获取环境信息。
作为执行主体的充电桩，可以预先与该些信息源建立通信连接，以便可以从该些信息源处获取环境信息。
步骤102，基于环境信息，预测待充电车辆在目标充电环境中充电时若 发生充电风险事件所造成的损失程度。
例如，考虑到不同类型的充电环境可能包含不同的目标对象，这样，若在不同充电环境发生充电风险事件，则可能使得遭受安全风险的目标对象有所不同，从而若发生充电风险事件所造成的损失程度存在一定差异。比如，当充电环境为停车场时，其包含的目标对象通常可以是车辆等；当充电环境为建筑物周边时，其目标对象则可能以建筑物居多；而当充电环境为商业街区时，其目标对象则通常以人员为主。
可以确定的是，一般情况下，相对于在停车场发生充电风险事件对于车辆造成的损失程度，在商业街区发生充电风险事件造成的损失程度往往更大——商业街区由于人流密集，安全风险很可能造成人员伤亡。
基于此，本发明实施例中，可以根据环境信息，预先设定环境信息与在该充电环境中充电时若发生充电风险事件所造成的损失程度的一种映射关系，比如，如表2-1至2-4所示。这样，根据获取到的环境信息，以及如表2-1至2-4所示的映射关系，就可以预测待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度。
其中，环境信息如步骤101描述的相关内容所示，可以包括:充电环境的类型、充电环境中的目标对象的类型、指定类型的目标对象在充电环境中的分布密度或指定类型的目标对象在充电环境中的数量中的至少一种。
如下所述，表2-1为充电环境信息中的充电环境类型与损失程度的映射关系；表2-2为充电环境信息中的目标对象的类型与损失程度的映射关系；表2-3为充电环境信息中的指定类型的目标对象在充电环境中的分布密度与损失程度的映射关系；表2-4为充电环境信息中的指定类型的目标对象在充电环境中的数量与损失程度的映射关系。
表2-1
充电环境的类型 损失程度
商业街区 重大损失程度
建筑物周边、停车场 次重大损失程度
表2-2
充电环境中的目标对象的类型 损失程度
人 重大损失程度
建筑物、车辆 次重大损失程度
表2-3
Figure PCTCN2020142073-appb-000002
表2-4
Figure PCTCN2020142073-appb-000003
其中，各损失程度的大小关系为：重大损失程度>次重大损失程度>一般损失程度。
表征人分布密度的信息，可以通过监控设备或者监控平台拍摄目标充电环境的图像中的人数，以及拍摄的目标充电环境的面积确定，例如，人分布密度可以等于监控设备或者监控平台拍摄的图像中的人数与拍摄的目标充电环境的面积的比值。
同理，建筑物以及车辆的分布密度也可以采用上述方法确定，为避免赘述，此处不再说明。
在一种可选的实施方式中，也可以采用如下方法预测待充电车辆在目标环境中充电时若发生充电风险事件所造成的损失程度。
将环境信息输入损失预测模型，以获取损失预测模型输出的损失程度，作为预测的待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度。
其中，损失预测模型基于历史充电风险事件的指定信息训练得到。
可选地，历史充电风险事件的指定信息包括：历史充电风险事件的发生环境的环境信息和造成的损失程度。
在一个实施例中，可以基于历史充电风险事件的指定信息采用有监督学习方式或无监督学习方式训练得到损失预测模型。
下面以有监督学习方式为例，对损失预测模型的训练过程进行一些说明。
例如，在一个实施例中可以采用下述步骤A～E训练得到损失预测模型。
A、可以预先采集预设数量的历史充电风险事件样本与对应的损失程度分类标签信息，其中，损失程度分类标签例如可以包括重大损失、次重大损失和一般损失等。
B、对采集的所有历史充电风险事件样本进行初始化，初始化值可以为1。
C、确定初始化后的各历史充电风险事件发生时所造成的损失程度。
D、根据损失程度，获取与损失程度对应的环境信息，与环境信息对应的分类标签。
E、将采集到的环境信息输入有监督深度学习网络模型训练，得到训练 完成的损失预测模型。
其中，上述训练损失预测模型的方法仅是一种示例性说明，并不对本发明实施例造成任何限定。
步骤103，根据损失程度与充电策略的预设映射关系，确定与预测出的损失程度对应的充电策略，作为目标充电策略。
可选地，所述预设映射关系可以存放至充电桩的本地存储空间中。
在一种实施方式中，本发明实施例中的损失程度与充电策略的预设映射关系可以如下表3所示。
表3
Figure PCTCN2020142073-appb-000004
根据预测出的损失程度，通过查询该预设映射关系，即可以确定出与预测出的损失程度对应的充电策略，作为目标充电策略。
由上表3可知，该预设映射关系中的损失程度可以包括第一损失程度和第二损失程度，充电策略可以包括第一充电策略以及第二充电策略。其中，第一损失程度高于第二损失程度。第一损失程度，比如可以是前文所述的重大损失程度和次重大损失程度；第二损失程度，比如可以是前文所述的一般损失程度。
基于上表3，假设预测出的损失程度为“第一损失程度”，那么，通过查询上表3，可以将“第一充电策略”确定为目标充电策略。
以下进一步对表3中的信息进行说明。
所述的预设容量阈值，一般不超过动力电池的额定容量。
所述的第一电流，小于第二电流。而第二电流，一般不超过动力电池的额定充电电流，即不超过动力电池可采用的最大充电电流。
上述第二充电策略中，还可以包括对于动力电池容量的控制目标。比如，可以包括：控制充电完成时的动力电池容量等于动力电池的额定容量。
以上是对步骤103的一种常规实现方式的介绍。考虑到在实际场景中，还可能存在一些影响充电安全性的因素，上述预设映射关系还可以进一步包括其他一些用于确定充电策略的约束项。以下进行具体说明。
通常，随着充电环境的气象变化，动力电池的绝缘电阻的阻值大小可能发生变化。
例如，当充电环境温度较低时，动力电池中的锂离子可能从动力电池正极脱嵌过多，使得动力电池的绝缘电阻的阻值变小，从而导致动力电池内部短路，存在安全风险。而当充电环境温度较高时，可能使得动力电池的正极的稳定性下降，充电过程也会存在安全风险。
由此可见，充电环境温度过高或者充电环境温度过低都会对动力电池的充电安全性产生影响。除环境温度之外，据相关统计结果表明，充电环境的空气湿度、充电环境的风向、风力等级等气象信息，都可能或多或少地影响着电动汽车的性能以及其他安全方面，可见，充电环境的气象信息在充电过程中有着不可忽视的作用。
基于上述分析，本发明实施例在确定目标充电策略时，还可以考虑将待充电车辆所处充电环境的气象信息作为确定充电策略的约束项之一。
此外，待充电车辆的动力电池本身的属性信息以及状态信息在充电过程中也起着重要作用，因此，本发明实施例在确定目标充电策略时，还可以获取待充电车辆对应的动力电池的信息作为确定充电策略的约束项之一。
所述的动力电池的属性信息，比如可以包括动力电池的额定容量和动力电池的状态信息。其中，动力电池的状态信息比如可以包括动力电池的荷电状态和/或动力电池的健康度。
其中，动力电池的额定容量，表示动力电池在满充状态下所放出的总电量。
动力电池的健康度，表示标准条件下动力电池从充满状态以一定倍率放电到截止电压，所放出的容量与其所对应的标称容量的比值，可反应出动力电池的老化状态。
动力电池的荷电状态，可以表征动力电池剩余容量与电池额定容量的比值。
为便于描述，以下将上述用于确定充电策略的约束项，均称为指定类型的目标充电策略的参考信息。
综上所述，在一个实施例中，预设映射关系还可以包括：损失程度、充电策略和指定类型的充电参考信息的映射关系，具体如下表4所示。
其中，指定类型的充电参考信息包括充电环境的气象信息和车辆的动力电池的信息中的至少一种。
表4
Figure PCTCN2020142073-appb-000005
Figure PCTCN2020142073-appb-000006
其中，过低的温度区间可以为T≤15℃，正常的温度区间可以为15℃＜T≤30℃，过高的温度区间可以为T＞30℃。过低的湿度区间可以为RH≤40％rh，正常的湿度区间可以为40％rh＜RH≤60％rh，过低的湿度区间可以为RH＞60％rh。
基于表4所示的映射关系，可以采用如图1c所示的步骤1031～步骤1032的方法确定目标充电策略。
步骤1031，获取待充电车辆对应的指定类型的充电参考信息。
其中，指定类型的充电参考信息包括气象信息和车辆的动力电池的信息 中的至少一种。其中，气象信息可以由充电桩基于目标充电环境的位置信息，从提供气象信息的服务器处获取；车辆的动力电池的信息，可以由待充电车辆主动发送给充电桩。
可选地，气象信息可以包括充电环境的温度、充电环境的空气湿度、充电环境的风向或充电环境的风力等级等。车辆的动力电池的信息可以包括动力电池的属性信息和/或动力电池的状态信息。
在一种实施方式中，获取待充电车辆对应的指定类型的充电参考信息后，可以通过执行步骤1032，确定目标充电策略。
步骤1032，根据预设映射关系，确定与通过执行步骤102确定出的损失程度以及通过执行步骤1031获取到的指定类型的充电参考信息均对应的充电策略，作为目标充电策略。
基于上述分析，假设确定充电环境温度为12摄氏度，即充电环境温度偏低，且根据步骤102确定出的损失程度为第一损失程度，则可以根据表4所示的预设映射关系，确定目标充电策略为第一充电策略，即采用第一电流对待充电车辆进行充电，且在充电过程中监测动力电池的容量，当电池容量小于等于预设容量阈值时，控制充电桩停止充电。
步骤104，在待充电车辆在目标充电环境中充电的过程中，基于目标充电策略，对待充电车辆进行充电。
本发明实施例中，确定目标充电策略后(假设目标充电策略为第一充电策略)，则充电桩可以按照第一充电电流对待充电车辆进行充电，并在基于充电车辆反馈的电池容量的信息，监测到动力电池的容量达到预设容量阈值时，停止充电。
例如，假设目标充电策略中能够保证待充电车辆充电安全的最大电流阈值为30A，动力电池的最大容量阈值为动力电池额定容量的90％(假设动力电池容量为2700mAh)，则充电桩可以按照小于30A的充电电流对待充电车辆进行充电，并在基于充电车辆反馈的电池容量的信息，监测到动力电池的 容量达到2430mAh(2700*90％)时，停止充电。
在一种实施方式中，可以预先在充电设备(比如充电桩)中预先存入充电环境信息、对应环境信息的充电策略及该充电策略的充电电流和最大充电容量。当充电设备接收到目标充电策略时，则可以根据目标充电策略，选择对应目标充电策略的充电电流在目标充电环境中进行充电，当动力电池达到目标充电策略对应的最大充电容量时，充电结束。
其中，充电桩的类型可以但不限于是车载式、便携式、壁挂式或落地式。
采用本发明实施例提供的方法，实现了在为汽车进行充电时，将“若在目标充电环境中发生充电风险事件而造成的损失程度”作为采用的充电策略的确定依据之一，从而通过确定的充电策略控制车辆进行充电，能够从一定程度上避免在目标环境中充电时发生充电风险事件，提高了待充电车辆在目标充电环境中充电时的安全性。
以下结合实际场景，说明本发明实施例提供的方法在实际中如何应用。
请参见图2，为本发明实施例提供的方法在实际中的一种应用流程的示意图。该流程具体包括如下步骤。
步骤201，当充电后台检测到充电设备与待充电车辆接通时，充电后台接收充电设备采集的待充电车辆的动力电池的信息以及第三方信息平台发送的表征待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度的环境信息。
可选地，第三方信息平台包括：车载监控设备或者充电设备所处环境的监控平台。
步骤202，充电后台接收动力电池的信息以及充电环境信息后，触发智能充电模型可以基于环境信息，确定在当前环境充电时若发生充电风险事件所造成的损失程度。
其中，环境信息与损失程度的预设映射关系可以参照上述表2-1至2-4 所示，为避免赘述，此处不再说明。
步骤203，充电后台接收到智能充电模型发送的损失程度后，基于该损失程度确定对应的目标充电策略。
本发明实施例中，可以根据发送的损失程度，通过查询预设映射关系，即可以确定出与预测出的损失程度对应的充电策略，作为目标充电策略。
其中，预设映射关系可以参照上述表3所示，为避免赘述，此处不再说明。
例如，若根据步骤202预测出损失程度为第一损失程度，则根据表3所示的映射关系，可以确定目标充电策略为第一充电策略，即采用第一电流充电，并在基于充电车辆反馈的电池容量的信息，监测到动力电池的容量达到预设容量阈值时，停止充电。
步骤204，充电后台控制充电设备基于确定的充电策略对待充电车辆进行充电。
可选地，可以基于步骤203中确定的充电策略对待充电车辆进行充电。
需要说明的是，充电过程中，充电后台可以每隔一段时间(如20分钟)，开始重新搜集动力电池类信息以及充电环境信息，并输入给智能充电模型，若智能充电模型输出的损失程度发生变化，则控制充电设备执行新的充电策略。
采用本发明实施例提供的方法，实现了在为汽车进行充电时，将“若在目标充电环境中发生充电风险事件而造成的损失程度”作为采用的充电策略的确定依据之一，从而通过确定的充电策略控制车辆进行充电，能够从一定程度上避免在目标环境中充电时发生充电风险事件，提高了待充电车辆在目标充电环境中充电时的安全性。
为解决现有技术中，由于充电电流过大或者动力电池过度充满，导致动力电池发生爆炸，造成财产损失甚至人员伤亡的问题，本发明实施例提供一 种充电控制装置，该装置的具体结构示意图如图3所示，包括环境信息获取模块301、损失程度预测模块302、充电策略确定模块303和充电控制模块304。各模块的功能如下。
环境信息获取模块301，用于获取环境信息；所述环境信息，表征待充电车辆在目标充电环境中充电时若发生充电风险事件，所造成的损失程度。
损失程度预测模块302，用于基于环境信息，预测待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度。
充电策略确定模块303，用于根据损失程度与充电策略的预设映射关系，确定与确定出的损失程度对应的充电策略，作为目标充电策略；其中，预设映射关系中的各充电策略，均为预先验证的能够避免充电车辆在充电时若发生充电风险事件的充电策略。
充电控制模块304，用于在待充电车辆在目标充电环境中充电的过程中，基于目标充电策略，对待充电车辆进行充电。
在一种可选的实施方式中，环境信息包括：充电环境的类型和/或充电环境中的目标对象的类型和/或指定类型的目标对象在充电环境中的分布密度。
在一种可选的实施方式中，环境信息获取模块301，包括：环境类型确定单元，用于确定目标充电环境的类型；环境信息获取单元，用于根据目标充电环境的类型，从与目标充电环境的类型相匹配的信息源处获取环境信息。
在一种可选的实施方式中，环境信息获取单元，包括：若目标充电环境的类型包括停车场，则从与停车场相关的指定设备处获取环境信息；相关的指定设备，包括停车场的监控平台、待充电车辆自身的监控设备和停车场中的其他车辆的监控设备中的至少一种；若目标充电环境包括建筑物周边，则从建筑物的监控平台处，获取环境信息；若目标充电环境包括商业街区，则从商业街区的监控平台处，获取环境信息。
在一种可选的实施方式中，损失程度预测模块302用于：将环境信息输入损失预测模型，以获取损失预测模型输出的损失程度，作为预测的待充电 车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度；损失预测模型基于历史充电风险事件的指定信息训练得到；历史充电风险事件的指定信息包括：历史充电风险事件的发生环境的环境信息和造成的损失程度。
在一种可选的实施方式中，若预设映射关系包括：损失程度、充电策略和指定类型的充电参考信息的映射关系；指定类型的充电参考信息包括气象信息和车辆的动力电池的信息中的至少一种，则充电策略确定模块303，包括：参考信息获取单元，用于获取待充电车辆对应的指定类型的充电参考信息；充电策略确定单元，用于根据预设映射关系，确定与确定出的损失程度以及获取到的指定类型的充电参考信息均对应的充电策略，作为目标充电策略。
其中，预设映射关系中的损失程度包括第一损失程度和第二损失程度，预设映射关系中的充电策略包括与第一损失程度相对应的第一充电策略，以及，与第二损失程度相对应的第二充电策略；第一损失程度高于第二损失程度。
第一充电策略包括采用第一电流充电，且控制充电完成时的动力电池容量小于等于预设容量阈值。第二充电策略包括采用第二电流充电。第一电流小于第二电流。
采用本发明实施例提供的该装置，实现了在为汽车进行充电时，将“若在目标充电环境中发生充电风险事件而造成的损失程度”作为采用的充电策略的确定依据之一，从而通过确定的充电策略控制车辆进行充电，能够从一定程度上避免在目标环境中充电时发生充电风险事件，提高了待充电车辆在目标充电环境中充电时的安全性。
图4为实现本发明各个实施例的一种电子设备的硬件结构示意图，该电子设备400包括但不限于：射频单元401、网络模块402、音频输出单元403、输入单元404、传感器405、显示单元406、用户输入单元407、接口单元408、 存储器409、处理器410、以及电源411等部件。本领域技术人员可以理解，图4中示出的电子设备结构并不构成对电子设备的限定，电子设备可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。在本发明实施例中，电子设备包括但不限于手机、平板电脑、笔记本电脑、掌上电脑、车载终端、可穿戴设备、以及计步器等。
其中，处理器410，用于环境信息；所述环境信息，表征待充电车辆在目标充电环境中充电时若发生充电风险事件，所造成的损失程度；基于环境信息，预测待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度；根据损失程度与充电策略的预设映射关系，确定与确定出的损失程度对应的充电策略，作为目标充电策略；其中，预设映射关系中的各充电策略，均为预先验证的能够避免充电车辆在充电时若发生充电风险事件的充电策略；在待充电车辆在目标充电环境中充电的过程中，基于目标充电策略，对待充电车辆进行充电。
在一种可选的实施方式中，基于环境信息，预测待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度，包括：将环境信息输入损失预测模型，以获取损失预测模型输出的损失程度，作为预测的待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度；损失预测模型基于历史充电风险事件的指定信息训练得到；历史充电风险事件的指定信息包括：历史充电风险事件的发生环境的环境信息和造成的损失程度。
在一种可选的实施方式中，环境信息包括：充电环境的类型和/或充电环境中的目标对象的类型和/或指定类型的目标对象在充电环境中的分布密度。
在一种可选的实施方式中，获取表征待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度的环境信息，包括：确定目标充电环境的类型；根据目标充电环境的类型，从与目标充电环境的类型相匹配的信息源处获取环境信息。
在一种可选的实施方式中，根据目标充电环境的类型，从与目标充电环 境的类型相匹配的信息源处获取环境信息，包括：若目标充电环境的类型包括停车场，则从与停车场相关的指定设备处获取环境信息；相关的指定设备，包括停车场的监控平台、待充电车辆自身的监控设备和停车场中的其他车辆的监控设备中的至少一种；若目标充电环境包括建筑物周边，则从建筑物的监控平台处，获取环境信息；若目标充电环境包括商业街区，则从商业街区的监控平台处，获取环境信息。
在一种可选的实施方式中，预设映射关系包括：损失程度、充电策略和指定类型的充电参考信息的映射关系；指定类型的充电参考信息包括气象信息和车辆的动力电池的信息中的至少一种，则根据预设映射关系，确定与确定出的损失程度对应的充电策略，作为目标充电策略，包括：获取待充电车辆对应的指定类型的充电参考信息；根据预设映射关系，确定与确定出的损失程度以及获取到的指定类型的充电参考信息均对应的充电策略，作为目标充电策略。
存储器409，用于存储可在处理器410上运行的计算机程序，该计算机程序被处理器410执行时，实现处理器410所实现的上述功能。
应理解的是，本发明实施例中，射频单元401可用于收发信息或通话过程中，信号的接收和发送，具体的，将来自基站的下行数据接收后，给处理器410处理；另外，将上行的数据发送给基站。通常，射频单元401包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器、双工器等。此外，射频单元401还可以通过无线通信系统与网络和其他设备通信。
电子设备通过网络模块402为用户提供了无线的宽带互联网访问，如帮助用户收发电子邮件、浏览网页和访问流式媒体等。
音频输出单元403可以将射频单元401或网络模块402接收的或者在存储器409中存储的音频数据转换成音频信号并且输出为声音。而且，音频输出单元403还可以提供与电子设备400执行的特定功能相关的音频输出(例如，呼叫信号接收声音、消息接收声音等等)。音频输出单元403包括扬声器、蜂 鸣器以及受话器等。
输入单元404用于接收音频或视频信号。输入单元404可以包括图形处理器(Graphics Processing Unit，GPU)4041和麦克风4042，图形处理器4041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。处理后的图像帧可以显示在显示单元406上。经图形处理器4041处理后的图像帧可以存储在存储器409(或其它存储介质)中或者经由射频单元401或网络模块402进行发送。麦克风4042可以接收声音，并且能够将这样的声音处理为音频数据。处理后的音频数据可以在电话通话模式的情况下转换为可经由射频单元401发送到移动通信基站的格式输出。
电子设备400还包括至少一种传感器404，比如光传感器、运动传感器以及其他传感器。具体地，光传感器包括环境光传感器及接近传感器，其中，环境光传感器可根据环境光线的明暗来调节显示面板4061的亮度，接近传感器可在电子设备400移动到耳边时，关闭显示面板4061和/或背光。作为运动传感器的一种，加速计传感器可检测各个方向上(一般为三轴)加速度的大小，静止时可检测出重力的大小及方向，可用于识别电子设备姿态(比如横竖屏切换、相关游戏、磁力计姿态校准)、振动识别相关功能(比如计步器、敲击)等；传感器405还可以包括指纹传感器、压力传感器、虹膜传感器、分子传感器、陀螺仪、气压计、湿度计、温度计、红外线传感器等，在此不再赘述。
显示单元406用于显示由用户输入的信息或提供给用户的信息。显示单元406可包括显示面板4061，可以采用液晶显示器(Liquid Crystal Display，LCD)、有机发光二极管(Organic Light-Emitting Diode,OLED)等形式来配置显示面板4061。
用户输入单元407可用于接收输入的数字或字符信息，以及产生与电子设备的用户设置以及功能控制有关的键信号输入。具体地，用户输入单元407 包括触控面板4071以及其他输入设备4072。触控面板4071，也称为触摸屏，可收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触控面板4071上或在触控面板4071附近的操作)。触控面板4071可包括触摸检测装置和触摸控制器两个部分。其中，触摸检测装置检测用户的触摸方位，并检测触摸操作带来的信号，将信号传送给触摸控制器；触摸控制器从触摸检测装置上接收触摸信息，并将它转换成触点坐标，再送给处理器410，接收处理器410发来的命令并加以执行。此外，可以采用电阻式、电容式、红外线以及表面声波等多种类型实现触控面板4071。除了触控面板4071，用户输入单元407还可以包括其他输入设备4072。具体地，其他输入设备4072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。
进一步的，触控面板4071可覆盖在显示面板4061上，当触控面板4071检测到在其上或附近的触摸操作后，传送给处理器410以确定触摸事件的类型，随后处理器410根据触摸事件的类型在显示面板4061上提供相应的视觉输出。虽然在图4中，触控面板4071与显示面板4061是作为两个独立的部件来实现电子设备的输入和输出功能，但是在某些实施例中，可以将触控面板4071与显示面板4061集成而实现电子设备的输入和输出功能，具体此处不做限定。
接口单元408为外部装置与电子设备400连接的接口。例如，外部装置可以包括有线或无线头戴式耳机端口、外部电源(或电池充电器)端口、有线或无线数据端口、存储卡端口、用于连接具有识别模块的装置的端口、音频输入/输出(I/O)端口、视频I/O端口、耳机端口等等。接口单元408可以用于接收来自外部装置的输入(例如，数据信息、电力等等)并且将接收到的输入传输到电子设备400内的一个或多个元件或者可以用于在电子设备400和外部装置之间传输数据。
存储器409可用于存储软件程序以及各种数据。存储器409可主要包括 存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序(比如声音播放功能、图像播放功能等)等；存储数据区可存储根据手机的使用所创建的数据(比如音频数据、电话本等)等。此外，存储器409可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
处理器410是电子设备的控制中心，利用各种接口和线路连接整个电子设备的各个部分，通过运行或执行存储在存储器409内的软件程序和/或模块，以及调用存储在存储器409内的数据，执行电子设备的各种功能和处理数据，从而对电子设备进行整体监控。处理器410可包括一个或多个处理单元；优选的，处理器410可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到处理器410中。
电子设备400还可以包括给各个部件供电的电源411(比如电池)，优选的，电源411可以通过电源管理系统与处理器410逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。
另外，电子设备400包括一些未示出的功能模块，在此不再赘述。
优选的，本发明实施例还提供一种电子设备，包括处理器410，存储器409，存储在存储器409上并可在所述处理器410上运行的计算机程序，该计算机程序被处理器410执行时实现上述充电控制方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
本发明实施例还提供一种计算机可读存储介质，计算机可读存储介质上存储有计算机程序，该计算机程序被处理器执行时实现上述充电控制方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。其中，所述的计算机可读存储介质，如只读存储器(Read-Only Memory，简称ROM)、随机存取存储器(Random Access Memory，简称RAM)、磁碟或者光盘等。
此外，本发明实施例还提供了一种计算机程序产品，所述计算机程序产品包括存储在非暂态计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，使所述计算机执行上述任意方法实施例中的方法。
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/ 输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。
以上所述仅为本发明的实施例而已，并不用于限制本发明。对于本领域技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原理之内所作的任何修改、等同替换、改进等，均应包含在本发明的权利要求范围之内。

Claims (10)

  1. 一种充电控制方法，其中，包括：
    获取环境信息；所述环境信息，表征待充电车辆在目标充电环境中充电时若发生充电风险事件，所造成的损失程度；
    基于所述环境信息，预测所述待充电车辆在所述目标充电环境中充电时若发生充电风险事件所造成的损失程度；
    根据损失程度与充电策略的预设映射关系，确定与预测出的损失程度对应的充电策略，作为目标充电策略；其中，所述预设映射关系中的各充电策略，均为预先验证的能够避免充电车辆在充电时若发生充电风险事件的充电策略；
    在所述待充电车辆在所述目标充电环境中充电的过程中，基于所述目标充电策略，对所述待充电车辆进行充电。
  2. 根据权利要求1所述的方法，其中，所述基于所述环境信息，预测所述待充电车辆在所述目标充电环境中充电时若发生充电风险事件所造成的损失程度，包括：
    将所述环境信息输入损失预测模型，以获取所述损失预测模型输出的损失程度，作为预测的所述待充电车辆在所述目标充电环境中充电时若发生充电风险事件所造成的损失程度；
    所述损失预测模型基于历史充电风险事件的指定信息训练得到；
    所述历史充电风险事件的指定信息包括：所述历史充电风险事件的发生环境的环境信息和造成的损失程度。
  3. 根据权利要求1或2所述的方法，其中，所述环境信息包括以下至少一种：
    充电环境的类型；
    充电环境中的目标对象的类型；
    指定类型的目标对象在充电环境中的分布密度；
    指定类型的目标对象在充电环境中的数量。
  4. 根据权利要求3所述的方法，其中，获取表征待充电车辆在目标充电环境中充电时若发生充电风险事件所造成的损失程度的环境信息，包括：
    确定所述目标充电环境的类型；
    根据所述目标充电环境的类型，从与所述目标充电环境的类型相匹配的信息源处获取所述环境信息。
  5. 根据权利要求4所述的方法，其中，根据所述目标充电环境的类型，从与所述目标充电环境的类型相匹配的信息源处获取所述环境信息，包括：
    若所述目标充电环境的类型包括停车场，则从与所述停车场相关的指定设备处获取所述环境信息；所述相关的指定设备，包括所述停车场的监控平台、所述待充电车辆自身的监控设备和所述停车场中的其他车辆的监控设备中的至少一种；
    若所述目标充电环境包括建筑物周边，则从所述建筑物的监控平台处，获取所述环境信息；
    若所述目标充电环境包括商业街区，则从所述商业街区的监控平台处，获取所述环境信息。
  6. 根据权利要求1所述的方法，其中，所述预设映射关系包括：损失程度、充电策略和指定类型的充电参考信息的映射关系；所述指定类型的充电参考信息包括气象信息和车辆的动力电池的信息中的至少一种；
    根据所述预设映射关系，确定与预测出的损失程度对应的充电策略，作为目标充电策略，包括：
    获取所述待充电车辆对应的指定类型的充电参考信息；
    根据所述预设映射关系，确定与预测出的损失程度以及获取到的指定类型的充电参考信息均对应的充电策略，作为目标充电策略。
  7. 根据权利要求6所述的方法，其中：
    所述预设映射关系中的损失程度包括第一损失程度和第二损失程度，所 述预设映射关系中的充电策略包括与第一损失程度相对应的第一充电策略，以及，与第二损失程度相对应的第二充电策略；
    所述第一充电策略包括采用第一电流充电，且控制充电完成时的动力电池容量小于等于预设容量阈值；
    所述第二充电策略包括采用第二电流充电；
    所述第一损失程度高于所述第二损失程度；
    所述第一电流小于所述第二电流。
  8. 一种充电控制装置，其中，包括环境信息获取模块、损失程度预测模块、充电策略确定模块和充电控制模块，其中：
    环境信息获取模块，用于获取环境信息；所述环境信息，表征待充电车辆在目标充电环境中充电时若发生充电风险事件，所造成的损失程度；
    损失程度预测模块，用于基于所述环境信息，预测所述待充电车辆在所述目标充电环境中充电时若发生充电风险事件所造成的损失程度；
    充电策略确定模块，用于根据损失程度与充电策略的预设映射关系，确定与预测出的损失程度对应的充电策略，作为目标充电策略；其中，所述预设映射关系中的各充电策略，均为预先验证的能够避免充电车辆在充电时若发生充电风险事件的充电策略；
    充电控制模块，用于在所述待充电车辆在所述目标充电环境中充电的过程中，基于所述目标充电策略，对所述待充电车辆进行充电。
  9. 一种电子设备，其中，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如权利要求1至7中任一项所述的充电控制方法的步骤。
  10. 一种计算机可读存储介质，其中，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1至7中任一项所述的充电控制方法的步骤。
PCT/CN2020/142073 2020-01-03 2020-12-31 一种充电控制方法、装置、电子设备及系统 WO2021136493A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010005906.8 2020-01-03
CN202010005906.8A CN111086410B (zh) 2020-01-03 2020-01-03 一种充电控制方法、装置、电子设备及系统

Publications (1)

Publication Number Publication Date
WO2021136493A1 true WO2021136493A1 (zh) 2021-07-08

Family

ID=70399503

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/142073 WO2021136493A1 (zh) 2020-01-03 2020-12-31 一种充电控制方法、装置、电子设备及系统

Country Status (2)

Country Link
CN (1) CN111086410B (zh)
WO (1) WO2021136493A1 (zh)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113968160A (zh) * 2021-09-29 2022-01-25 华人运通(江苏)技术有限公司 车辆充电时间预估方法、装置、设备及存储介质
CN114290942A (zh) * 2021-11-22 2022-04-08 江铃汽车股份有限公司 基于蓝牙的充电控制方法、装置、可读存储介质及设备
CN114333212A (zh) * 2021-12-20 2022-04-12 深圳易加油信息科技有限公司 一种充电站监测调控的方法、系统、电子设备及存储介质
CN114325447A (zh) * 2021-12-23 2022-04-12 北京联行网络科技有限公司 建立电池健康度评估模型及评估的方法、系统及装置
CN114757522A (zh) * 2022-04-07 2022-07-15 南京邮电大学 一种基于大数据的粮仓管理系统及方法
CN115593265A (zh) * 2022-09-20 2023-01-13 广州汽车集团股份有限公司（Cn） 充电时长的预测方法、装置、计算机设备以及存储介质
CN115848199A (zh) * 2022-12-21 2023-03-28 国广顺能(上海)能源科技有限公司 一种无感充电控制方法、电子设备和存储介质
CN116394794A (zh) * 2023-05-25 2023-07-07 安徽海迪拉电气科技股份有限公司 一种高安全性智能充电桩
CN116704697A (zh) * 2023-04-12 2023-09-05 中科合肥技术创新工程院 一种汽车充电区域异常预警方法及系统

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111086410B (zh) * 2020-01-03 2021-11-19 恒大恒驰新能源汽车科技(广东)有限公司 一种充电控制方法、装置、电子设备及系统
CN112512860B (zh) * 2020-07-30 2021-12-03 华为技术有限公司 充电控制方法、装置、服务器、系统及介质
CN113452573B (zh) * 2021-06-10 2023-03-21 上汽通用五菱汽车股份有限公司 充电控制方法、充电控制系统及可读存储介质
CN114879823A (zh) * 2022-03-24 2022-08-09 深圳市广通远驰科技有限公司 温度保护策略的配置方法、装置、电子设备和存储介质
CN115166538A (zh) * 2022-06-30 2022-10-11 东莞新能安科技有限公司 充电检测方法、装置、设备及产品
CN117318254B (zh) * 2023-11-30 2024-03-19 深圳航天科创泛在电气有限公司 无线充电方法、装置、电子设备及可读存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110140658A1 (en) * 2009-12-15 2011-06-16 Liberty Plugins, Inc. Automated Parking Garage with Electric Vehicle Charging
CN105790389A (zh) * 2016-05-21 2016-07-20 赵鹏 一种智能型电动汽车充电桩系统
CN108054805A (zh) * 2018-01-09 2018-05-18 杭州快电新能源科技有限公司 一种可调电压范围的电动汽车充电保护系统及其充电保护方法
CN110503301A (zh) * 2019-07-17 2019-11-26 江苏大学 一种基于Cox比例风险模型的电动汽车传导充电安全影响因素评价方法
CN111086410A (zh) * 2020-01-03 2020-05-01 恒大新能源汽车科技(广东)有限公司 一种充电控制方法、装置、电子设备及系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103730702B (zh) * 2012-10-12 2016-01-13 北汽福田汽车股份有限公司 一种电动汽车的车载锂电池充电方法
CN106295898A (zh) * 2016-08-15 2017-01-04 万马联合新能源投资有限公司 一种设置充电桩的方法
CN108146281A (zh) * 2017-12-29 2018-06-12 福建中资新能源动力制造有限公司 车辆动力电池组控制系统及其控制方法
CN108808785A (zh) * 2018-06-27 2018-11-13 Oppo广东移动通信有限公司 电子设备充电控制方法、装置、电子设备及存储介质
CN109474030A (zh) * 2018-09-28 2019-03-15 杭州中恒电气股份有限公司 多维区域自适应智能充电控制方法
CN109927587A (zh) * 2019-03-12 2019-06-25 湖南秒冲新能源科技有限责任公司 智能充电方法、充电电池、充电系统及计算机存储介质

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110140658A1 (en) * 2009-12-15 2011-06-16 Liberty Plugins, Inc. Automated Parking Garage with Electric Vehicle Charging
CN105790389A (zh) * 2016-05-21 2016-07-20 赵鹏 一种智能型电动汽车充电桩系统
CN108054805A (zh) * 2018-01-09 2018-05-18 杭州快电新能源科技有限公司 一种可调电压范围的电动汽车充电保护系统及其充电保护方法
CN110503301A (zh) * 2019-07-17 2019-11-26 江苏大学 一种基于Cox比例风险模型的电动汽车传导充电安全影响因素评价方法
CN111086410A (zh) * 2020-01-03 2020-05-01 恒大新能源汽车科技(广东)有限公司 一种充电控制方法、装置、电子设备及系统

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
"Development Trends of Key Industries in the World Manufacturing Industry in 2010", 30 June 2011, SHANGHAI SCIENTIFIC AND TECHNOLOGICAL LITERATURE PRESS, CN, ISBN: 978-7-5439-4875-4, article SHANGHAI MUNICIPAL COMMISSION OF ECONOMY AND INFORMATIZATION ET AL.: "Passage", pages: 408, XP009529218 *
LI BINGHUA, WU SHENGTING;DONG QING;XU XUEMIN: "Analysis on Key Points of the National Standard Atlas 18D705 -2 of Electric Vehicle Charging Infrastructure", BUILDING ELECTRICITY, 1 January 2018 (2018-01-01), pages 3 - 9, XP055827952 *

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113968160A (zh) * 2021-09-29 2022-01-25 华人运通(江苏)技术有限公司 车辆充电时间预估方法、装置、设备及存储介质
CN113968160B (zh) * 2021-09-29 2023-10-20 华人运通(江苏)技术有限公司 车辆充电时间预估方法、装置、设备及存储介质
CN114290942A (zh) * 2021-11-22 2022-04-08 江铃汽车股份有限公司 基于蓝牙的充电控制方法、装置、可读存储介质及设备
CN114333212B (zh) * 2021-12-20 2023-08-29 深圳易能时代科技有限公司 一种充电站监测调控的方法、系统、电子设备及存储介质
CN114333212A (zh) * 2021-12-20 2022-04-12 深圳易加油信息科技有限公司 一种充电站监测调控的方法、系统、电子设备及存储介质
CN114325447B (zh) * 2021-12-23 2023-12-29 北京联行网络科技有限公司 建立电池健康度评估模型及评估的方法、系统及装置
CN114325447A (zh) * 2021-12-23 2022-04-12 北京联行网络科技有限公司 建立电池健康度评估模型及评估的方法、系统及装置
CN114757522A (zh) * 2022-04-07 2022-07-15 南京邮电大学 一种基于大数据的粮仓管理系统及方法
CN115593265A (zh) * 2022-09-20 2023-01-13 广州汽车集团股份有限公司（Cn） 充电时长的预测方法、装置、计算机设备以及存储介质
CN115593265B (zh) * 2022-09-20 2024-02-23 广州汽车集团股份有限公司 充电时长的预测方法、装置、计算机设备以及存储介质
CN115848199A (zh) * 2022-12-21 2023-03-28 国广顺能(上海)能源科技有限公司 一种无感充电控制方法、电子设备和存储介质
CN115848199B (zh) * 2022-12-21 2024-04-19 国广顺能(上海)能源科技有限公司 一种无感充电控制方法、电子设备和存储介质
CN116704697A (zh) * 2023-04-12 2023-09-05 中科合肥技术创新工程院 一种汽车充电区域异常预警方法及系统
CN116704697B (zh) * 2023-04-12 2024-04-16 中科合肥技术创新工程院 一种汽车充电区域异常预警方法及系统
CN116394794A (zh) * 2023-05-25 2023-07-07 安徽海迪拉电气科技股份有限公司 一种高安全性智能充电桩
CN116394794B (zh) * 2023-05-25 2023-09-22 安徽海迪拉电气科技股份有限公司 一种高安全性智能充电桩

Also Published As

Publication number Publication date
CN111086410B (zh) 2021-11-19
CN111086410A (zh) 2020-05-01

Similar Documents

Publication Publication Date Title
WO2021136493A1 (zh) 一种充电控制方法、装置、电子设备及系统
TWI670191B (zh) 駕駛行為確定方法、裝置、設備及儲存介質
CN108511002B (zh) 危险事件声音信号识别方法、终端和计算机可读存储介质
CN109888867B (zh) 一种充电方法及移动终端
WO2019206077A1 (zh) 视频通话处理方法及移动终端
CN108663627B (zh) 一种电池自放电检测方法及电池自放电检测装置
CN109040968B (zh) 路况提醒方法、移动终端及计算机可读存储介质
CN107888765B (zh) 一种切换场景模式的方法、移动终端
WO2021027466A1 (zh) 定位方法及终端设备
WO2021190387A1 (zh) 检测结果输出的方法、电子设备及介质
WO2020056747A1 (zh) 电子设备低温保护方法和电子设备
CN109819016B (zh) 基于区块链的信息发布方法、信息接收方法和移动终端
CN108551525B (zh) 一种移动轨迹的状态确定方法和移动终端
CN110536236B (zh) 一种通信方法、终端设备和网络设备
CN108429856A (zh) 一种定位信息获取方法及移动终端
CN108063869B (zh) 一种安全预警方法、移动终端
CN108366171B (zh) 一种温升控制方法和移动终端
WO2021136189A1 (zh) 定位提示方法及电子设备
CN112269939B (zh) 自动驾驶的场景搜索方法、装置、终端、服务器及介质
WO2021136264A1 (zh) 可分离式摄像头模组的供电装置
CN109446435B (zh) 信息显示装置、方法、系统及计算机可读存储介质
WO2024045940A1 (zh) 一种动力电池温度监控系统、方法、装置、终端及介质
EP3671484A1 (en) Display picture display method and terminal
CN112449308B (zh) 基于手机信号的活动人员的活动预警方法及装置
US20210216126A1 (en) Methods and systems for battery management

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20909816

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20909816

Country of ref document: EP

Kind code of ref document: A1