Collision processing method and device of electric automobile and electronic equipment

Abstract

The invention provides a collision processing method and device for an electric vehicle and electronic equipment. The collision processing method comprises the steps that vehicle exterior information and self attribute information of the electric vehicle in running are obtained; according to the outside information of the electric vehicle and the attribute information of the electric vehicle, whether a collision event happens to the electric vehicle or not is estimated, and estimated specified parameter information of the collision event is estimated; and if the collision event occurs, determining a processing strategy for the collision event according to the influence of the collision event in the pre-estimated specified parameter information on the high-voltage dangerous component. Whether the collision event occurs or not can be estimated in advance based on the driving related information of the electric vehicle, the processing strategy for the collision event is further determined according to the influence of the collision event on the high-voltage dangerous component, the collision problem can be solved in time, and the targeted processing strategy can be adopted.

Description

Technical Field

[0001] This application relates to the field of electric vehicle fault handling, and more specifically, to a collision handling method, apparatus, and electronic device for electric vehicles. Background Technology

[0002] Due to their high-voltage electrification characteristics, electric vehicles are attracting increasing attention to collision safety as their ownership grows. Currently, the industry generally relies on collision sensors to identify collisions at the moment they occur and then take appropriate measures. However, collisions often happen in a very short time; there is a time lag between sensor detection and the implementation of safety measures. During this time, damage may have already occurred. Therefore, a new safety protection method is urgently needed to address this issue for the industry. Summary of the Invention

[0003] This application provides a collision handling method, apparatus, and electronic device for electric vehicles, which can predict whether a collision event will occur in advance based on the external information and the vehicle's own attribute information while it is in motion, and further determine the handling strategy for the collision event based on the impact of the collision event on high-voltage dangerous components, thereby solving the above-mentioned technical problems.

[0004] In a first aspect, embodiments of this application provide a collision handling method for an electric vehicle, the method comprising: Acquire external information and internal attribute information of an electric vehicle in motion; Based on the external information and attribute information of the electric vehicle, it is estimated whether the electric vehicle will be involved in a collision event, and the specified parameters for the estimation of the collision event are also provided. If the collision event occurs, a handling strategy for the collision event is determined based on the impact of the collision event on the high-voltage dangerous components as specified in the predicted parameter information.

[0005] In one possible implementation, acquiring external information of a moving electric vehicle includes: Images of the area surrounding the electric vehicle are acquired using a camera installed on the electric vehicle. The radar installed in the electric vehicle acquires feedback information from objects around the electric vehicle. By analyzing the images and the feedback information from the radar, the surrounding objects of the electric vehicle, as well as the relative position and status information of the surrounding objects and the electric vehicle, are determined as the external information of the vehicle.

[0006] In one possible implementation, the step of estimating whether a collision event has occurred in the electric vehicle based on its external information and its own attribute information, and the specified parameter information for estimating the collision event, includes: Collect specified parameter information of electric vehicles in various collisions and electric vehicles in non-collision situations, and extract sample vehicle exterior information, sample electric vehicle self-attribute information, and corresponding collision events from the specified parameter information of electric vehicles to construct training samples; The initial model is trained using the training samples to obtain a collision detection model; The external information and self-attribute information of the electric vehicle in motion are input into the collision detection model to determine whether a collision event has occurred; the collision event includes the collision level and the time of collision intrusion into the high-voltage dangerous component.

[0007] In one possible implementation, determining a handling strategy for the collision event based on the estimated impact of the collision event on the high-voltage hazardous component from the specified parameter information includes: If the collision event does not intrude into high-voltage hazardous components, no action will be taken; If the collision event would intrude into high-voltage dangerous components, the battery controller is controlled to quickly cut off power, and the motor controller is controlled to quickly discharge. At the same time, the battery controller is made to release its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking.

[0008] In one possible implementation, the high-voltage hazardous component includes a high-voltage system component; if the collision event would intrude into the high-voltage hazardous component, the system controls the battery controller to quickly cut off power and the motor controller to quickly discharge. Simultaneously, the system enables the battery controller to release its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking, including: If the collision event will intrude into the high-voltage system components and the intrudement time is greater than a preset time threshold, then the current collision event is determined to be a medium collision mode, and a medium collision mode command is generated and sent to the vehicle controller. Upon receiving the medium collision mode command, the vehicle controller stops the high-voltage system components and sends a high-voltage power-down command to the battery controller to enable the battery controller to perform high-voltage power-down in normal mode. It also sends a rapid discharge command to the motor controller to enable the motor controller to perform rapid discharge in normal mode after the battery controller completes its high-voltage power-down. Furthermore, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the Electronic Stability Program (ESP) in performing emergency braking. The preset time threshold is determined based on the time required for the standard high-voltage power-down process of the electric vehicle.

[0009] In one possible implementation, the high-voltage hazardous component further includes a power battery; if the collision event would intrude into the high-voltage hazardous component, the battery controller is controlled to quickly cut off power, and the motor controller is controlled to quickly discharge. Simultaneously, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking, including: If the collision event will intrude into the power battery or the collision event will intrude into the high-voltage system components and the intrusion time is less than or equal to the preset time threshold, then the current collision event is determined to be a severe collision mode, a severe collision mode command is generated and sent to the battery controller and the motor controller. Upon receiving the severe collision mode command, the battery controller immediately detonates the smart fuse; upon receiving the severe collision mode command, the motor controller checks whether the fuse has been detonated and performs rapid discharge in emergency mode after the fuse has been detonated; furthermore, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in performing emergency braking.

[0010] Secondly, embodiments of this application provide a collision handling device for an electric vehicle, the device comprising: The acquisition module is used to acquire external information and self-attribute information of an electric vehicle in motion; The prediction module is used to predict whether the electric vehicle will be involved in a collision event based on the vehicle's external information and its own attribute information, as well as the specified parameters for predicting the collision event. The determination module is used to determine a handling strategy for the collision event if the collision event occurs, based on the impact of the collision event on the high-voltage dangerous component in the estimated specified parameter information.

[0011] In one possible implementation, acquiring external information of a moving electric vehicle includes: Images of the area surrounding the electric vehicle are acquired using a camera installed on the electric vehicle. The radar installed in the electric vehicle acquires feedback information from objects around the electric vehicle. By analyzing the images and the feedback information from the radar, the surrounding objects of the electric vehicle, as well as the relative position and status information of the surrounding objects and the electric vehicle, are determined as the external information of the vehicle.

[0012] In one possible implementation, the step of estimating whether a collision event has occurred in the electric vehicle based on its external information and its own attribute information, and the specified parameter information for estimating the collision event, includes: The module is used to collect specified parameter information of electric vehicles in various collisions and electric vehicles that have not collided, and to extract sample vehicle exterior information, sample electric vehicle self-attribute information, and corresponding collision events from the specified parameter information of electric vehicles to construct training samples. The training module is used to train the initial model using the training samples to obtain a collision detection model; The processing module is used to input the external information and self-attribute information of the electric vehicle in motion into the collision detection model to determine whether a collision event has occurred; the collision event includes the collision level and the time of collision intrusion into the high-voltage dangerous component.

[0013] Thirdly, embodiments of this application provide an electronic device, including: a processor, a storage medium, and a bus. The storage medium stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the collision handling method for an electric vehicle as described in any of the first aspects.

[0014] This application provides a collision handling method, apparatus, and electronic device for electric vehicles, including: acquiring external information and self-attribute information of the electric vehicle in motion; predicting whether a collision event will occur and specifying parameters for predicting the collision event based on the external information and self-attribute information; if a collision event occurs, determining a handling strategy for the collision event based on the impact of the collision event on high-voltage hazardous components in the specified parameters. This application can predict whether a collision event will occur in advance based on relevant information about the electric vehicle's operation, and further determine a handling strategy for the collision event based on the impact of the collision event on high-voltage hazardous components, enabling timely resolution of collision problems and the implementation of targeted handling strategies. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A flowchart illustrating a first collision handling method for an electric vehicle provided in an embodiment of this application is shown; Figure 2 A flowchart illustrating a second collision handling method for an electric vehicle provided in an embodiment of this application is shown; Figure 3A flowchart of a third collision handling method for electric vehicles provided in an embodiment of this application is shown; Figure 4 A flowchart illustrating the overall process of a third collision handling method for electric vehicles provided in this application embodiment is shown. Figure 5 A schematic diagram of the structure of a collision handling device for an electric vehicle provided in an embodiment of this application is shown; Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0018] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0019] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0020] refer to Figure 1 The flowchart shown illustrates a collision handling method for an electric vehicle, as provided in this application embodiment. The method includes: S101. Obtain external information and self-attribute information of the electric vehicle in motion; S102. Based on the external information and self-attribute information of the electric vehicle, predict whether the electric vehicle will be involved in a collision event and specify the parameters for predicting the collision event. S103. If the collision event occurs, a handling strategy for the collision event is determined based on the impact of the collision event on the high-voltage dangerous component in the estimated specified parameter information.

[0021] The collision handling method, apparatus, and electronic equipment for electric vehicles provided in this application can predict whether a collision event will occur in advance based on relevant information about the electric vehicle's operation, and further determine the handling strategy for the collision event based on the impact of the collision event on high-voltage dangerous components, thus resolving collision problems in a timely manner and taking targeted handling strategies.

[0022] The following section provides a detailed explanation of S101-S103 using the above method applied to an intelligent driving controller in an electric vehicle: S101. Obtain external information and self-attribute information of an electric vehicle in motion.

[0023] In this embodiment, the electric vehicle is equipped with multiple cameras that can capture information both inside and outside the vehicle. The external information captured by these cameras provides rich semantic and classification information. Similarly, the electric vehicle is equipped with multiple radars, whose feedback provides spatiotemporal measurement information about the vehicle and other objects (e.g., the position, distance, and relative speed changes of objects relative to the electric vehicle). In practice, the cameras and radars only provide the specific capturing and measurement results. The intelligent driving controller analyzes and processes the external images captured by the cameras and the radar feedback to obtain the rich semantic and classification information, as well as the spatiotemporal measurement information about the vehicle and other objects (e.g., the position, distance, relative movement, relative speed changes, driving status, and changes in driving status of objects relative to the electric vehicle). Specifically, the aforementioned attribute information includes current vehicle speed and braking distance.

[0024] S102. Based on the external information and attribute information of the electric vehicle, predict whether the electric vehicle will be involved in a collision event and specify the parameters for predicting the collision event.

[0025] In this embodiment, images of the area surrounding the electric vehicle are acquired using a camera installed on the electric vehicle, and feedback information about objects around the electric vehicle is acquired using a radar installed on the electric vehicle. The surrounding objects, their relative positions, and status information relative to the electric vehicle are then determined as the external information. The relative position information includes relative position and relative distance; the status information includes relative movement status, relative speed changes, driving status, and changes in driving status.

[0026] In this embodiment of the application, a collision detection model is pre-trained, and then the external information and self-attribute information of the electric vehicle in motion are input into the collision detection model. The collision detection model determines whether a collision event has occurred and the estimated specified parameter information of the collision event. The estimated specified parameter information includes the collision level and the time of collision intrusion into the high-voltage dangerous component.

[0027] Specifically, the collision detection model outputs a detection result that includes the probability of a collision event occurring. If the probability is less than a target threshold, it is determined that no collision event has occurred; if the probability is greater than or equal to the target threshold, it is determined that a collision event has occurred. Furthermore, once a collision event is confirmed, the collision level is determined based on the probability. Specifically, if the probability is less than a first preset threshold, it is a minor collision mode; if the probability is between the first and second preset thresholds, it is a moderate collision mode; and if the probability is greater than the second preset threshold, it is a severe collision mode. The second preset threshold is greater than the first preset threshold.

[0028] In this embodiment of the application, the pre-trained collision detection model includes: collecting specified parameter information of electric vehicles in various collisions and specified parameter information of electric vehicles without collisions, and extracting sample vehicle exterior information and sample electric vehicle self-attribute information from the specified parameter information of electric vehicles in different collisions, as well as collision events in the corresponding specified parameter information of electric vehicles; and also extracting sample vehicle exterior information and sample electric vehicle self-attribute information from the specified parameter information of electric vehicles without collisions, as well as non-collision events in the corresponding specified parameter information of electric vehicles. Based on the sample vehicle exterior information and sample electric vehicle self-attribute information of the specified parameter information of electric vehicles in different collisions - the collision events of the corresponding electric vehicles, and the sample vehicle exterior information and sample electric vehicle self-attribute information of the specified parameter information of non-collision electric vehicles - the non-collision events in the specified parameter information of the corresponding electric vehicles, training samples are constructed, and the initial model is trained using the training samples to obtain the collision detection model.

[0029] S103. If the collision event occurs, a handling strategy for the collision event is determined based on the impact of the collision event on the high-voltage dangerous component in the estimated specified parameter information.

[0030] Specifically, if the collision event does not intrude into high-voltage dangerous components, it is determined to be a minor collision and no action is taken; if the collision event does intrude into high-voltage dangerous components, it is further determined whether it is a moderate or severe collision mode, and based on the specific mode, the battery controller is controlled to quickly cut off power and the motor controller is controlled to quickly discharge. At the same time, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking.

[0031] The following sections explain the moderate and severe collision modes in which a collision event can intrude into high-voltage hazardous components: Medium collision mode conditions: such as Figure 2 As shown, the high-voltage hazardous component includes high-voltage system components; if the collision event would intrude into the high-voltage hazardous component, the system controls the battery controller to quickly cut off power and the motor controller to quickly discharge. Simultaneously, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking, including: S201. If the collision event will intrude into the high-voltage system components and the intrudement time is greater than a preset time threshold, then the current collision event is determined to be a medium collision mode, and a medium collision mode command is generated and sent to the vehicle controller. S202. After receiving the medium collision mode command, the vehicle controller controls the high-voltage system components to stop working and sends a high-voltage power-down command to the battery controller so that the battery controller controls the high-voltage power-down in normal mode; it also sends a rapid discharge command to the motor controller so that the motor controller performs rapid discharge in normal mode after the high-voltage power-down of the battery controller is completed; and the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the vehicle electronic stability system ESP in performing emergency braking; wherein, the preset time threshold is determined according to the time required for the standard high-voltage power-down processing of the electric vehicle.

[0032] Severe collision mode conditions: such as Figure 3 As shown, the high-voltage hazardous component also includes a power battery; if the collision event would intrude into the high-voltage hazardous component, the battery controller is controlled to quickly cut off power, and the motor controller is controlled to quickly discharge. Simultaneously, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking, including: S301. If the collision event will intrude into the power battery or the collision event will intrude into the high voltage system components and the intrusion time is less than or equal to the preset time threshold, then the current collision event is determined to be a severe collision mode, a severe collision mode instruction is generated and sent to the battery controller and the motor controller. S302. Upon receiving the severe collision mode command, the battery controller immediately detonates the smart fuse. Upon receiving the severe collision mode command, the motor controller checks whether the fuse has been detonated and performs rapid discharge in emergency mode after the fuse has been detonated. Furthermore, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in performing emergency braking.

[0033] The following is combined Figure 4The above three levels of collisions for electric vehicles are explained with specific examples. The intelligent driving controller comprehensively judges whether a collision will occur based on feedback information from cameras and radar, as well as information such as current vehicle speed and shortest braking distance, and estimates the level of collision (i.e., the three modes below) and the time of intrusion into the high-voltage system components (this time is from the moment of collision judgment to the time of contact with the high-voltage components). When the estimated level is a minor collision, the collision will not intrude into the high-voltage system components and the power battery, and no action is required. When the estimated collision level is a moderate collision mode, there is a risk of intrusion into the high-voltage system components. The intrusion occurs when the time exceeds a preset time threshold T, which depends on the time required for high-voltage power-off. Upon receiving this mode, the vehicle controller controls the high-voltage system components to stop operating, sends a high-voltage power-off command to the battery controller, and a rapid discharge command to the motor controller. Furthermore, the battery controller releases its maximum kinetic energy recovery charging capacity and controls and assists the ESP in emergency braking. When the predicted collision level is severe, indicating a risk of intrusion into the battery or high-voltage system components within a time frame shorter than a preset time threshold T, the battery controller immediately detonates the smart fuse upon receiving this information, and the motor controller performs rapid discharge. Furthermore, the battery controller releases its maximum regenerative braking capacity to assist the ESP in emergency braking.

[0034] The above method will be illustrated below with three specific embodiments: Example 1: At a current vehicle speed of 100 km / h, the intelligent driving controller identifies an obstacle 10m ahead and calculates an impending collision based on the maximum braking acceleration. The collision intensity is deemed insufficient to impact the power battery, and the collision time is greater than 500ms (i.e., the high-voltage power-off time). At this point, the vehicle controller stops the motor and sends a high-voltage power-off command to the battery controller. Simultaneously, the battery controller increases the current kinetic energy recovery power from 50kW to 80kW. The vehicle stability control system then synchronously performs mechanical and kinetic energy recovery based on the 80kW recovery capacity. After the high-voltage power-off is complete, the motor performs rapid discharge.

[0035] Example 2: At a current vehicle speed of 100 km / h, the intelligent driving controller identifies an obstacle 5 meters ahead and calculates an impending collision based on the maximum braking acceleration. The collision intensity is deemed insufficient to impact the power battery, and the collision time is less than 500 ms (high-voltage power-off time). At this point, the battery controller directly detonates the excitation fuse, increasing the current kinetic energy recovery power from 50 kW to 80 kW. The vehicle stability control system simultaneously performs mechanical and kinetic energy recovery based on the 80 kW recovery capacity. After the fuse detonates, the motor performs rapid discharge.

[0036] Example 3: At a current vehicle speed of 150 km / h, the intelligent driving controller identifies an obstacle 5 meters ahead and calculates an impending collision based on the maximum braking acceleration. The collision intensity will impact the power battery. At this point, the battery controller directly detonates the excitation fuse, increasing the current kinetic energy recovery power from 50 kW to 80 kW. The vehicle stability control system simultaneously performs mechanical and kinetic energy recovery based on the 80 kW recovery capacity. After the fuse detonates, the motor performs rapid discharge.

[0037] This application provides a collision warning and handling control strategy. Based on the camera and radar of intelligent driving, the system can predict vehicle collisions in advance and take corresponding control strategies according to the severity of the prediction. These measures include powering off the high voltage of the whole vehicle, rapidly discharging the high voltage system, detonating the excitation fuse, and releasing the maximum kinetic energy recovery power to prevent short circuits and leakage in the high voltage system and protect the safety of the vehicle and people.

[0038] The above measures are for preventing electrical short circuits. Compared to the mechanical braking method of traditional automobiles, the braking method of electric vehicles includes both mechanical and kinetic energy recovery methods. The kinetic energy recovery power mainly depends on the charging capacity of the power battery at the current moment. Typically, a power meter is preset in the battery controller, and the threshold of this power meter is set based on the battery's maximum capacity, with a certain margin considering lifespan factors. This application embodiment provides a control strategy under pre-collision conditions. In an emergency, the battery controller releases the battery's maximum kinetic energy recovery capacity to maximize assistance to the vehicle's electronic stability system for braking, thereby improving vehicle and personal safety.

[0039] In this embodiment, firstly, different collision modes are defined based on the different ways in which collision hazards occur: a minor collision mode, where the collision does not intrude into high-voltage system components and the power battery; a moderate collision mode, where the collision carries the risk of intrusion into high-voltage system components, and the intrusion time is greater than a preset time threshold T, which depends on the time required for high-voltage power-off; and a severe collision mode, where the collision carries the risk of intrusion into the power battery, or intrusion into high-voltage system components, and the intrusion time is less than the preset time threshold T.

[0040] Then, different high-voltage handling strategies are executed according to different collision modes: For minor collisions, no action is required; for moderate collisions, upon receiving this mode, the vehicle controller controls the high-voltage system components to stop working, sends a high-voltage power-down command to the battery controller, and a rapid discharge command to the motor controller; for severe collisions, where there is a risk of intrusion into the power battery, or intrusion into high-voltage system components and the intrusion time is shorter than a preset time threshold T, the battery controller immediately detonates the smart fuse upon receiving this mode, and the motor controller performs rapid discharge.

[0041] Finally, different auxiliary braking strategies are executed according to different collision modes: in the case of a minor collision, no action is required; in the case of a moderate or severe collision, the battery controller releases its maximum kinetic energy recovery and charging capacity to assist the ESP in emergency braking.

[0042] Based on the same inventive concept, this application also provides a collision handling device for electric vehicles corresponding to the collision handling method for electric vehicles. Since the principle of the device in this application is similar to the collision handling method for electric vehicles described above, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0043] Reference Figure 5 As shown, this application provides a collision handling device for an electric vehicle, the device comprising: The acquisition module 501 is used to acquire external information and self-attribute information of an electric vehicle in motion; The prediction module 502 is used to predict whether the electric vehicle will be involved in a collision event and the specified parameters for predicting the collision event based on the external information and the vehicle's own attribute information of the electric vehicle. The determination module 503 is used to determine a handling strategy for the collision event if the collision event occurs, based on the impact of the collision event on the high-voltage dangerous component in the estimated specified parameter information.

[0044] In one possible implementation, acquiring external information of a moving electric vehicle includes: Images of the area surrounding the electric vehicle are acquired using a camera installed on the electric vehicle. The radar installed in the electric vehicle acquires feedback information from objects around the electric vehicle. By analyzing the images and the feedback information from the radar, the surrounding objects of the electric vehicle, as well as the relative position and status information of the surrounding objects and the electric vehicle, are determined as the external information of the vehicle.

[0045] In one possible implementation, the step of estimating whether a collision event has occurred in the electric vehicle based on its external information and its own attribute information, and the specified parameter information for estimating the collision event, includes: The module is used to collect specified parameter information of electric vehicles in various collisions and electric vehicles that have not collided, and to extract sample vehicle exterior information, sample electric vehicle self-attribute information, and corresponding collision events from the specified parameter information of electric vehicles to construct training samples. The training module is used to train the initial model using the training samples to obtain a collision detection model; The processing module is used to input the external information and self-attribute information of the electric vehicle in motion into the collision detection model to determine whether a collision event has occurred; the collision event includes the collision level and the time of collision intrusion into the high-voltage dangerous component; In one possible implementation, determining a handling strategy for the collision event based on the estimated impact of the collision event on the high-voltage hazardous component from the specified parameter information includes: If the collision event does not intrude into high-voltage hazardous components, no action will be taken; If the collision event would intrude into high-voltage dangerous components, the battery controller is controlled to quickly cut off power, and the motor controller is controlled to quickly discharge. At the same time, the battery controller is made to release its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking.

[0046] In one possible implementation, the high-voltage hazardous component includes a high-voltage system component; if the collision event would intrude into the high-voltage hazardous component, the system controls the battery controller to quickly cut off power and the motor controller to quickly discharge. Simultaneously, the system enables the battery controller to release its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking, including: If the collision event will intrude into the high-voltage system components and the intrudement time is greater than a preset time threshold, then the current collision event is determined to be a medium collision mode, and a medium collision mode command is generated and sent to the vehicle controller. Upon receiving the medium collision mode command, the vehicle controller stops the high-voltage system components and sends a high-voltage power-down command to the battery controller to enable the battery controller to perform high-voltage power-down in normal mode. It also sends a rapid discharge command to the motor controller to enable the motor controller to perform rapid discharge in normal mode after the battery controller completes its high-voltage power-down. Furthermore, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the Electronic Stability Program (ESP) in performing emergency braking. The preset time threshold is determined based on the time required for the standard high-voltage power-down process of the electric vehicle.

[0047] In one possible implementation, the high-voltage hazardous component further includes a power battery; if the collision event would intrude into the high-voltage hazardous component, the battery controller is controlled to quickly cut off power, and the motor controller is controlled to quickly discharge. Simultaneously, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking, including: If the collision event will intrude into the power battery or the collision event will intrude into the high-voltage system components and the intrusion time is less than or equal to the preset time threshold, then the current collision event is determined to be a severe collision mode, a severe collision mode command is generated and sent to the battery controller and the motor controller. Upon receiving the severe collision mode command, the battery controller immediately detonates the smart fuse; upon receiving the severe collision mode command, the motor controller checks whether the fuse has been detonated and performs rapid discharge in emergency mode after the fuse has been detonated; furthermore, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in performing emergency braking.

[0048] The collision handling device for electric vehicles provided in this application embodiment can predict whether a collision event will occur in advance based on relevant information about the electric vehicle's operation, and further determine the handling strategy for the collision event based on the impact of the collision event on high-voltage dangerous components, thus resolving the collision problem in a timely manner and taking targeted handling strategies.

[0049] like Figure 6 As shown in the embodiment of this application, an electronic device 600 includes a processor 601, a memory 602, and a bus. The memory 602 stores machine-readable instructions executable by the processor 601. When the electronic device is running, the processor 601 communicates with the memory 602 via the bus, and the processor 601 executes the machine-readable instructions to perform the steps of the collision handling method for electric vehicles described above.

[0050] Specifically, the memory 602 and processor 601 can be general-purpose memory and processor, without any specific limitations. When the processor 601 runs the computer program stored in the memory 602, it can execute the collision handling method for electric vehicles described above.

[0051] Corresponding to the above-described collision handling method for electric vehicles, this application embodiment also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the above-described collision handling method for electric vehicles.

[0052] The electronic device and storage medium provided in this application can predict whether a collision event will occur in advance based on the driving information of the electric vehicle, and further determine the handling strategy for the collision event based on the impact of the collision event on the high-voltage dangerous components, so as to solve the collision problem in a timely manner and take targeted handling strategies.

[0053] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces; the indirect coupling or communication connection of devices or modules can be electrical, mechanical, or other forms.

[0054] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0055] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0056] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0057] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A collision handling method for an electric vehicle, characterized in that, The method includes: Acquire external information and internal attribute information of an electric vehicle in motion; Based on the external information and attribute information of the electric vehicle, it is estimated whether the electric vehicle will be involved in a collision event, and the specified parameters for the estimation of the collision event are also provided. If the collision event occurs, a handling strategy for the collision event is determined based on the impact of the collision event on the high-voltage dangerous components as specified in the predicted parameter information.

2. The collision handling method for electric vehicles according to claim 1, characterized in that, The acquisition of external information of a moving electric vehicle includes: Images of the area surrounding the electric vehicle are acquired using a camera installed on the electric vehicle. The radar installed in the electric vehicle acquires feedback information from objects around the electric vehicle. By analyzing the images and the feedback information from the radar, the surrounding objects of the electric vehicle, as well as the relative position and status information of the surrounding objects and the electric vehicle, are determined as the external information of the vehicle.

3. The collision handling method for electric vehicles according to claim 1, characterized in that, The method of predicting whether a collision event will occur based on the external information and the electric vehicle's own attribute information, and the specified parameter information for predicting the collision event, includes: Collect specified parameter information of electric vehicles in various collisions and electric vehicles in non-collision situations, and extract sample vehicle exterior information, sample electric vehicle self-attribute information, and corresponding collision events from the specified parameter information of electric vehicles to construct training samples; The initial model is trained using the training samples to obtain a collision detection model; The external information and self-attribute information of the electric vehicle in motion are input into the collision detection model to determine whether a collision event has occurred; the collision event includes the collision level and the time of collision intrusion into the high-voltage dangerous component.

4. The collision handling method for electric vehicles according to claim 1, characterized in that, The step of determining a handling strategy for the collision event based on the estimated impact of the collision event on the high-voltage hazardous component in the specified parameter information includes: If the collision event does not intrude into high-voltage hazardous components, no action will be taken; If the collision event would intrude into high-voltage dangerous components, the battery controller is controlled to quickly cut off power, and the motor controller is controlled to quickly discharge. At the same time, the battery controller is made to release its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking.

5. The collision handling method for electric vehicles according to claim 4, characterized in that, The high-voltage hazardous component includes high-voltage system components; if the collision event would intrude into the high-voltage hazardous component, the system controls the battery controller to quickly cut off power and the motor controller to quickly discharge. Simultaneously, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking, including: If the collision event will intrude into the high-voltage system components and the intrudement time is greater than a preset time threshold, then the current collision event is determined to be a medium collision mode, and a medium collision mode command is generated and sent to the vehicle controller. Upon receiving the medium collision mode command, the vehicle controller stops the high-voltage system components and sends a high-voltage power-down command to the battery controller to enable the battery controller to perform high-voltage power-down in normal mode. It also sends a rapid discharge command to the motor controller to enable the motor controller to perform rapid discharge in normal mode after the battery controller completes its high-voltage power-down. Furthermore, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the Electronic Stability Program (ESP) in performing emergency braking. The preset time threshold is determined based on the time required for the standard high-voltage power-down process of the electric vehicle.

6. The collision handling method for an electric vehicle according to claim 5, characterized in that, The high-voltage hazardous component also includes a power battery; if the collision event would intrude into the high-voltage hazardous component, the battery controller is controlled to quickly cut off power, and the motor controller is controlled to quickly discharge. Simultaneously, the battery controller is made to release its maximum kinetic energy recovery charging capacity to control and assist the ESP in emergency braking, including: If the collision event will intrude into the power battery or the collision event will intrude into the high-voltage system components and the intrusion time is less than or equal to the preset time threshold, then the current collision event is determined to be a severe collision mode, a severe collision mode command is generated and sent to the battery controller and the motor controller. Upon receiving the severe collision mode command, the battery controller immediately detonates the smart fuse; upon receiving the severe collision mode command, the motor controller checks whether the fuse has been detonated and performs rapid discharge in emergency mode after the fuse has been detonated; furthermore, the battery controller releases its maximum kinetic energy recovery charging capacity to control and assist the ESP in performing emergency braking.

7. A collision handling device for an electric vehicle, characterized in that, The device includes: The acquisition module is used to acquire external information and self-attribute information of an electric vehicle in motion; The prediction module is used to predict whether the electric vehicle will be involved in a collision event based on the vehicle's external information and its own attribute information, as well as the specified parameters for predicting the collision event. The determination module is used to determine a handling strategy for the collision event if the collision event occurs, based on the impact of the collision event on the high-voltage dangerous component in the estimated specified parameter information.

8. The collision handling device for electric vehicles according to claim 7, characterized in that, The acquisition of external information of a moving electric vehicle includes: Images of the area surrounding the electric vehicle are acquired using a camera installed on the electric vehicle. The radar installed in the electric vehicle acquires feedback information from objects around the electric vehicle. By analyzing the images and the feedback information from the radar, the surrounding objects of the electric vehicle, as well as the relative position and status information of the surrounding objects and the electric vehicle, are determined as the external information of the vehicle.

9. The collision handling device for electric vehicles according to claim 7, characterized in that, The method of predicting whether a collision event will occur based on the external information and the electric vehicle's own attribute information, and the specified parameter information for predicting the collision event, includes: The module is used to collect specified parameter information of electric vehicles in various collisions and electric vehicles that have not collided, and to extract sample vehicle exterior information, sample electric vehicle self-attribute information, and corresponding collision events from the specified parameter information of electric vehicles to construct training samples. The training module is used to train the initial model using the training samples to obtain a collision detection model; The processing module is used to input the external information and self-attribute information of the electric vehicle in motion into the collision detection model to determine whether a collision event has occurred; the collision event includes the collision level and the time of collision intrusion into the high-voltage dangerous component.

10. An electronic device, characterized in that, include: The device includes a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the collision handling method for an electric vehicle as described in any one of claims 1 to 5.

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