A charging safety perception method, device and computer for an armrest screen charging base

Abstract

The present application relates to a charging safety perception method, device and computer for an armrest screen charging base. The method includes: determining the initial charging power information and the initial vehicle charging rated power according to the vehicle driving prediction data; adjusting each initial charging power information according to the vehicle internal driving data and the vehicle external environment data to obtain each adjusted charging power information; in the case of abnormalities in each monitoring data of the target vehicle, selecting each emergency power equipment for the abnormality from each power equipment according to at least one item of each monitoring data; adjusting the initial vehicle charging rated power to the current maximum rated output value according to the charging peak power of each emergency power equipment to obtain the emergency vehicle charging rated power; adjusting each adjusted charging power information according to the vehicle emergency driving data and the emergency vehicle charging rated power to generate equipment operation control information. Ensure that the charging equipment is protected from overcharging or overheating in an emergency.

Description

Technical Field

[0001] The present application relates to the field of intelligent automobile technology, and in particular to a charging safety perception method, device and computer for an armrest screen charging base. Background Art

[0002] With the development of smart car technology, in-car device smart charging technology has emerged. This technology is an advanced charging system used in cars that can automatically identify and optimize the charging needs of different electronic devices. This technology usually includes multiple USB ports or wireless charging panels, which can dynamically adjust the charging power according to the type of connected devices, current power and temperature to ensure a fast and safe charging process. This not only improves charging efficiency, but also effectively prevents device overheating or battery damage, enhancing user experience.

[0003] In traditional technology, the charging of in-vehicle devices usually relies on simple USB ports or thermal conversion interfaces to provide fixed voltage and current output. In emergency situations, charging through simple USB ports or thermal conversion interfaces cannot allocate charging power according to actual conditions, or all devices are still charged at full power when the charging power is insufficient, resulting in the inability to effectively protect charging devices from overcharging or overheating in emergency situations, further causing secondary dangers. Summary of the invention

[0004] Based on this, it is necessary to provide a charging safety perception method, device and computer for the armrest screen charging base, which can effectively protect the charging equipment from overcharging or overheating in an emergency and avoid further secondary dangers in response to the above technical problems.

[0005] In the first aspect, the present application provides a charging safety perception method for a handrail screen charging base. Applied to the handrail screen charging base, the handrail screen is electrically connected to the handrail screen charging base, and the method includes:

[0006] Determine, according to the vehicle driving prediction data of the target vehicle, the initial charging power information of each electrical device connected to the armrest screen in the process of the operation of the target vehicle and the initial vehicle charging rated power;

[0007] Under the constraint of the initial vehicle charging rated power, according to the vehicle internal driving data and the vehicle external environment data, the initial charging power information is adjusted in real time during the driving process to obtain each adjusted charging power information;

[0008] In the event that the navigation data, inertial data or vital sign data of the target vehicle is abnormal, selecting emergency electrical devices corresponding to the abnormality from the electrical devices connected to the armrest screen according to at least one of the navigation data, the inertial data and the vital sign data;

[0009] According to the charging peak power of each of the emergency electrical equipment, the initial vehicle charging rated power is adjusted to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power;

[0010] According to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, emergency adjustments are made to the adjusted charging power information of each of the emergency electrical equipment, and device operation control information corresponding to the armrest screen charging base is generated; the device operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module connected to the target vehicle through the armrest screen, so that each of the emergency electrical equipment operates according to the charging power information after emergency adjustment.

[0011] In the second aspect, the present application also provides a charging safety sensing device for an armrest screen charging base. Applied to the armrest screen charging base, the armrest screen is electrically connected to the armrest screen charging base, and the device includes:

[0012] A driving data prediction module, used to determine the initial charging power information of each electrical device connected to the armrest screen during the operation of the target vehicle and the initial vehicle charging rated power according to the vehicle driving prediction data of the target vehicle;

[0013] A charging power adjustment module, configured to adjust each of the initial charging power information in real time during driving according to the vehicle internal driving data and the vehicle external environment data under the constraint of the initial vehicle charging rated power, so as to obtain each of the adjusted charging power information;

[0014] An emergency equipment selection module, for selecting emergency electrical equipment corresponding to the abnormality from the electrical equipment connected to the armrest screen according to at least one of the navigation data, the inertial data and the vital sign data when the navigation data, the inertial data or the vital sign data of the target vehicle is abnormal;

[0015] A charging power protection module, used to adjust the initial vehicle charging rated power to the current maximum rated output value of the target vehicle according to the charging peak power of each of the emergency power-consuming devices, so as to obtain the emergency vehicle charging rated power;

[0016] The charging power adjustment module is also used to make emergency adjustments to the adjusted charging power information of each of the emergency electrical equipment according to the vehicle emergency driving data of the target vehicle and the rated charging power of the emergency vehicle, and generate equipment operation control information corresponding to the armrest screen charging base; the equipment operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module connected to the target vehicle through the armrest screen to enable each of the emergency electrical equipment to operate according to the charging power information after emergency adjustment.

[0017] In a third aspect, the present application further provides a computer. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0018] Determine, according to the vehicle driving prediction data of the target vehicle, the initial charging power information of each electrical device connected to the armrest screen in the process of the operation of the target vehicle and the initial vehicle charging rated power;

[0019] Under the constraint of the initial vehicle charging rated power, according to the vehicle internal driving data and the vehicle external environment data, the initial charging power information is adjusted in real time during the driving process to obtain each adjusted charging power information;

[0020] In the event that the navigation data, inertial data or vital sign data of the target vehicle is abnormal, selecting emergency electrical devices corresponding to the abnormality from the electrical devices connected to the armrest screen according to at least one of the navigation data, the inertial data and the vital sign data;

[0021] According to the charging peak power of each of the emergency electrical equipment, the initial vehicle charging rated power is adjusted to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power;

[0022] According to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, emergency adjustments are made to the adjusted charging power information of each of the emergency electrical equipment, and device operation control information corresponding to the armrest screen charging base is generated; the device operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module connected to the target vehicle through the armrest screen, so that each of the emergency electrical equipment operates according to the charging power information after emergency adjustment.

[0023] The above-mentioned charging safety perception method, device and computer of the armrest screen charging base determine the initial charging power information and the initial vehicle charging rated power of each electrical equipment connected to the armrest screen during the operation of the target vehicle according to the vehicle driving prediction data of the target vehicle; under the constraint of the initial vehicle charging rated power, according to the internal driving data of the vehicle and the external environmental data of the vehicle, the initial charging power information during the driving process is adjusted in real time to obtain the adjusted charging power information; when the navigation data, inertial data or vital signs data of the target vehicle are abnormal, according to at least one of the navigation data, inertial data and vital signs data, the charging power information of the connected armrest screen is adjusted in real time. The power-consuming devices on the hand screen are selected for the abnormal emergency power-consuming devices; according to the charging peak power of each emergency power-consuming device, the initial vehicle charging rated power is adjusted to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power; according to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, the adjusted charging power information of each emergency power device is emergency adjusted to generate the device operation control information corresponding to the armrest screen charging base; the device operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module of the target vehicle connected to the armrest screen through the armrest screen so that each emergency power-consuming device can operate according to the charging power information after the emergency adjustment.

[0024] The armrest screen charging base can control the external module to intelligently adjust the vehicle's charging strategy by comprehensively utilizing the vehicle's driving prediction data, internal driving data, external environmental data, and emergency situation data, making the charging process more efficient and flexible. During normal driving, the armrest screen charging base adjusts the initial charging power information in real time to ensure that the vehicle can control the external module to charge at the optimal power under different operating conditions, thereby reducing energy waste and improving battery life. When the vehicle faces an abnormal situation, the armrest screen charging base can automatically identify and control the external module to prioritize power supply to key emergency equipment to ensure normal activities, while controlling the vehicle's charging rated power to maximize the use of currently available power resources. This dynamic emergency response capability can not only ensure that the charging equipment is effectively protected from overcharging or overheating in an emergency, but also directly cut off the power to the charging equipment that is at risk to avoid further secondary dangers, and improve the vehicle's survivability in an emergency, ensuring the continuous power supply of emergency equipment, thereby enhancing the overall safety and reliability of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is an application environment diagram of a charging safety perception method for an armrest screen charging base in one embodiment;

[0026] Figure 2 It is a flowchart of a charging safety perception method of an armrest screen charging base in one embodiment;

[0027] Figure 3 It is a flowchart of a method for generating device operation control information in one embodiment;

[0028] Figure 4 is a flow chart of a method for generating device operation control information in another embodiment;

[0029] Figure 5 A schematic diagram of a flow chart of a method for charging an emergency vehicle at rated power in one embodiment;

[0030] Figure 6 is a flow chart of a current maximum rated output value method in one embodiment;

[0031] Figure 7 is a flow chart of a current maximum rated output value method in another embodiment;

[0032] Figure 8 A schematic diagram of a flow chart of a method for adjusting charging power information in an embodiment;

[0033] Fig. 9 It is a flowchart of a method for generating emergency charging information of a device in one embodiment;

[0034] Fig.10 It is a structural block diagram of a charging safety sensing device of an armrest screen charging base in one embodiment;

[0035] Fig.11 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0037] The charging safety perception method of the handrail screen charging base provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the power-consuming device 102 communicates with the handrail screen charging base 104 through the handrail screen. The data storage system of the handrail screen charging base can store the data that the handrail screen charging base 104 needs to process. The data storage system can be integrated on the handrail screen charging base 104, or it can be placed on the cloud or other network servers. The handrail screen charging base 104 determines the initial charging power information and the initial vehicle charging rated power of each power-consuming device connected to the handrail screen during the operation of the target vehicle based on the vehicle driving prediction data of the target vehicle; under the constraint of the initial vehicle charging rated power, according to the internal driving data of the vehicle and the external environmental data of the vehicle, the initial charging power information during the driving process is adjusted in real time to obtain the adjusted charging power information; in the case of abnormalities in the navigation data, inertial data or vital signs data of the target vehicle, according to at least one of the navigation data, inertial data and vital signs data, select from each power-consuming device connected to the handrail screen. For each abnormal emergency power-consuming device; according to the charging peak power of each emergency power-consuming device, adjust the initial vehicle charging rated power to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power; according to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, make emergency adjustments to the adjusted charging power information of each emergency power-consuming device, and generate the device operation control information corresponding to the armrest screen charging base; the device operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module of the target vehicle connected to the armrest screen to perform activities according to the charging power information adjusted in an emergency. Among them, the power-consuming device 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The armrest screen charging base 104 can be implemented with an independent armrest screen charging base or an armrest screen charging base cluster composed of multiple armrest screen charging bases.

[0038] In one embodiment, Figure 2 As shown, a charging safety perception method for an armrest screen charging base is provided, and the method is applied to Figure 1 The server in the example is used to illustrate the following steps:

[0039] Step 202, based on the vehicle driving prediction data of the target vehicle, determine the initial charging power information and the initial vehicle charging rated power of each electrical device connected to the armrest screen during the operation of the target vehicle.

[0040] Among them, vehicle driving prediction data can be a series of data generated after prediction based on the vehicle's current state, historical driving data, driver behavior patterns and external environmental information (such as road conditions, traffic conditions, weather, etc.). These data usually include the vehicle's expected driving path, speed, acceleration, energy consumption and other information in the future.

[0041] The initial charging power information may refer to the initial charging power value allocated by the system to each electrical device before the vehicle starts driving, based on the current battery status and the expected power demand of each electrical device.

[0042] Among them, the initial vehicle charging rated power can be the maximum acceptable charging power value of the vehicle set by the system before the vehicle starts driving, based on the capacity of the vehicle battery, the current power status and the overall expected demand of all electrical devices.

[0043] Among them, the armrest screen charging base can be a base in the target vehicle for charging electrical equipment in the vehicle. For example, the armrest screen charging base can provide charging or power supply functions for the armrest screen in the vehicle.

[0044] Among them, the armrest screen can be a control device in the target vehicle for controlling the activities of the target vehicle's electrical equipment, and the information of the armrest screen charging base can be transmitted to the electrical equipment through the control of the armrest screen charging base, so as to realize the charging of the electrical equipment by controlling various control modules in the vehicle through the armrest screen charging base.

[0045] Specifically, when the information of the target vehicle starting is detected, the vehicle driving prediction data of the target vehicle is obtained, wherein the vehicle driving prediction data includes information such as the vehicle's expected driving route, destination, and crew configuration. Based on the various predicted information in the vehicle driving prediction data, the target vehicle is analyzed during driving, and the armrest screen charging base provides each control module with the expected power demand for charging each electrical device through the armrest screen, such as mobile phones, navigation systems, batteries, emergency equipment, etc., to determine the initial charging power information for charging each electrical device during driving. At the same time, the overall power demand and battery capacity of the vehicle are comprehensively considered to calculate the maximum charging power that the target vehicle can withstand, that is, the initial vehicle charging rated power.

[0046] Step 204 , under the constraint of the initial vehicle charging rated power, according to the vehicle internal driving data and the vehicle external environment data, the initial charging power information of the target vehicle during the driving process is adjusted in real time to obtain various adjusted charging power information.

[0047] Among them, the vehicle's internal driving data can be a series of data directly related to the vehicle's operating status, including the vehicle's speed, acceleration, direction, current battery power, power output, braking conditions, etc.

[0048] Among them, the vehicle external environment data can be a series of data related to the vehicle's driving environment, including road conditions (such as slope, curvature, and road slipperiness), traffic conditions (such as traffic congestion level, traffic light status), meteorological conditions (such as temperature, humidity, rainfall, wind speed, etc.), and information such as the locations of surrounding vehicles and pedestrians.

[0049] The adjusted charging power information may be data information generated after the system dynamically adjusts the charging power of each initially set electrical device based on real-time monitored internal driving data and external environmental data during vehicle driving.

[0050] Specifically, under the constraint of the target vehicle's initial vehicle charging rated power, the armrest screen charging base continuously monitors the target vehicle's internal vehicle driving data (such as speed, acceleration, current battery power, etc.) and vehicle external environment data (such as road conditions, traffic conditions, temperature, etc.). Based on the vehicle's internal driving data and vehicle external environment data, the armrest screen charging base will dynamically evaluate the important information of each power-consuming device during the target vehicle's driving process, and identify the needs of each power-consuming device in the actual environment, and predict the possible needs of each power-consuming device in the future; combined with the above three data, the armrest screen charging base controls each control module through the armrest screen to make corresponding adjustments to the initial charging power information of each power-consuming device to ensure that each power-consuming device can still obtain the best power supply under changing driving conditions and environments, thereby obtaining each adjusted charging power information. When each power-consuming device is configured with corresponding adjusted charging power information, a command can be issued through the armrest screen to charge the power-consuming device according to the adjusted charging power information, or the armrest screen charging base can complete the setting and generate the charging command, and then send it to each control module for automatic triggering and execution.

[0051] Step 206, when the navigation data, inertial data or vital signs data of the target vehicle is abnormal, emergency electrical equipment corresponding to the abnormality is selected from the electrical equipment connected to the armrest screen based on at least one of the navigation data, inertial data and vital signs data.

[0052] Navigation data can include the vehicle's location information, driving route and direction, etc., which are used to determine the vehicle's location and path on the road. Inertial data can include information such as the vehicle's acceleration, angular velocity, inclination, etc., which help evaluate the vehicle's dynamic behavior and posture. Vital sign data refers to the physiological status data of the occupants in the vehicle (or people near the vehicle), such as heart rate, respiratory rate, etc., which are used to monitor the health status of different people.

[0053] Among them, emergency power equipment can be the key equipment that gives priority to ensuring power supply when the vehicle encounters an abnormality or emergency, and is used to eliminate or alleviate abnormal situations.

[0054] Specifically, when the armrest screen charging base continuously monitors the navigation data, inertial data and vital signs data of the target vehicle through the armrest screen to control various control modules, if any of the navigation data, inertial data and vital signs data is identified to be abnormal (such as navigation signal loss, abnormal vehicle posture or abnormal vital signs of the occupants (people outside the vehicle)), the armrest screen charging base will analyze the current abnormal situation based on at least one of the navigation data, inertial data and vital signs data, and select emergency power equipment that can alleviate or eliminate the abnormal situation from all power equipment of the target vehicle, such as giving priority to powering the navigation system when the navigation is abnormal, or giving priority to powering the life support equipment when the vital signs data is abnormal. For the selection conditions of navigation data, inertial data and vital signs data, when an abnormality is detected in the vehicle position, navigation data is given priority to determine the location information of the device; when an abnormality is detected in the vehicle motion state, inertial data is used to analyze the motion trajectory and acceleration of the device; if the vital signs of the vehicle personnel are abnormal, the health status of the user is monitored based on the vital signs data. However, for the complexity and multi-dimensional requirements of abnormal situations, when multiple abnormal signals appear, such as when the position of the vehicle and the health status of the vehicle's occupants change at the same time, navigation data and vital signs data can be selected at the same time; when the vehicle shakes violently and the health status of the vehicle's occupants changes dramatically, inertial data and vital signs data can be selected at the same time. Inertial data is used to determine whether the device is affected by external forces (such as collisions or falls), while vital signs data is used to assess whether the user has health problems. If the vehicle's displayed position deviates from the planned route and the acceleration suddenly increases, navigation data and inertial data can be combined. Navigation data helps locate the vehicle's deviation, while inertial data is used to determine whether the device is accelerating or decelerating to determine whether the abnormal movement is related to external influences (such as road bumps or emergency braking). In extreme cases, if the vehicle deviates from the normal position and detects abnormal vital signs of the user, navigation data, inertial data and vital signs data should be used in combination. This combination can provide a panoramic view of the device's location, motion status and user health status, ensuring that the emergency system can make more comprehensive decisions based on comprehensive data.

[0055] Step 208, according to the charging peak power of each emergency power-consuming device, adjust the initial vehicle charging rated power to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power.

[0056] The peak charging power may be the maximum charging power for charging each emergency power device.

[0057] The emergency vehicle charging rated power may be the maximum rated charging power provided by the target vehicle in an emergency situation.

[0058] Among them, the current maximum rated output value may be the maximum value to which the initial vehicle charging rated power can be adjusted.

[0059] Specifically, after detecting an emergency and selecting an emergency power device, the armrest screen charging base determines the peak charging power requirement of each emergency power device, that is, identifies the maximum charging current and maximum charging voltage that each emergency power device can withstand. Then the armrest screen charging base compares the total power demand corresponding to each emergency power device with the battery capacity and power supply capacity of the current vehicle. In order to meet the power demand of the emergency equipment, the armrest screen charging base will adjust the initial vehicle charging rated power through the armrest screen and the communication connection with each control module to reach the current maximum rated output value that the vehicle can currently provide. If the current maximum rated output value is greater than the total power demand, the total power demand is directly used as the emergency vehicle charging rated power. If the current maximum rated output value is less than the total power demand, the current maximum rated output value is used as the emergency vehicle charging rated power, and the power devices with higher priority are selected for priority charging; or the current maximum rated output value is used as the emergency vehicle charging rated power, and according to multiple charging periods, some power devices with higher priority whose total power is less than the current maximum rated output value are selected for high-power charging.

[0060] Step 210, according to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, emergency adjustments are made to the charging power information of each emergency power equipment, and equipment operation control information corresponding to the armrest screen charging base is generated.

[0061] Among them, the vehicle emergency driving data may be data information such as vehicle dynamic behavior, vehicle-related personnel, etc. collected when the vehicle is in an emergency state.

[0062] Among them, the equipment operation control information can be the instructions for the armrest screen charging base to control various control modules through the armrest screen to keep the emergency power equipment active in a manner that eliminates or alleviates the abnormality when the vehicle encounters an emergency. For example, the armrest screen charging base generates specific charging instructions and data to ensure the normal operation of key emergency power equipment.

[0063] Specifically, when an abnormality occurs in the navigation data, inertial data or vital signs data of the target vehicle, the emergency driving data perception module of the target vehicle is triggered, and then the armrest screen charging base obtains the emergency driving data of the target vehicle, where the emergency driving data may include the vehicle's acceleration, speed, driving route, and other dynamic information related to the emergency state (such as the blood oxygen content, body surface temperature, breathing rate, facial expression characteristics, and mobility of the people in the car). In combination with the adjusted emergency vehicle charging rated power, the armrest screen charging base controls each control module through the armrest screen to further adjust the previously set adjusted charging power information of each emergency power equipment, to ensure that the armrest screen charging base controls each control module through the armrest screen to activate each or part of the emergency power equipment under safe charging conditions, while adapting to the activity needs of each or part of the emergency power equipment to alleviate or eliminate the current emergency situation, and generates device operation control information corresponding to the armrest screen charging base; for example, to ensure that the armrest screen charging base charges each or part of the emergency power equipment under safe charging conditions, while adapting to the charging needs of each or part of the emergency power equipment to alleviate or eliminate the current emergency situation, and generates device operation control information, wherein the device operation control information includes emergency charging mode, emergency charging voltage and emergency charging current.

[0064] In the above-mentioned charging safety perception method of the armrest screen charging base, the initial charging power information of each electrical equipment connected to the armrest screen in communication with the target vehicle during the operation of the target vehicle and the initial vehicle charging rated power are determined according to the vehicle driving prediction data of the target vehicle; under the constraint of the initial vehicle charging rated power, the initial charging power information during the driving process is adjusted in real time according to the internal driving data of the vehicle and the external environmental data of the vehicle to obtain the adjusted charging power information; in the event that the navigation data, inertial data or vital signs data of the target vehicle are abnormal, according to at least one of the navigation data, inertial data and vital signs data, the charging power information of the target vehicle connected to the armrest screen is adjusted in real time according to the internal driving data of the vehicle and the external environmental data of the vehicle. Each power-consuming device selects each emergency power-consuming device that is abnormal; according to the charging peak power of each emergency power-consuming device, the initial vehicle charging rated power is adjusted to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power; according to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, the adjusted charging power information of each emergency power device is emergency adjusted to generate device operation control information corresponding to the armrest screen charging base; the device operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module of the target vehicle connected to the armrest screen through the armrest screen so that each emergency power device operates according to the charging power information after the emergency adjustment.

[0065] The armrest screen charging base can control the external module to intelligently adjust the vehicle's charging strategy by comprehensively utilizing the vehicle's driving prediction data, internal driving data, external environmental data, and emergency situation data, making the charging process more efficient and flexible. During normal driving, the armrest screen charging base adjusts the initial charging power information in real time to ensure that the vehicle can control the external module to charge at the optimal power under different operating conditions, thereby reducing energy waste and improving battery life. When the vehicle faces an abnormal situation, the armrest screen charging base can automatically identify and control the external module to prioritize power supply to key emergency equipment to ensure normal activities, while controlling the vehicle's charging rated power to maximize the use of currently available power resources. This dynamic emergency response capability can not only ensure that the charging equipment is effectively protected from overcharging or overheating in an emergency, but also directly cut off the power to the charging equipment that is at risk to avoid further secondary dangers, and improve the vehicle's survivability in an emergency, ensuring the continuous power supply of emergency equipment, thereby enhancing the overall safety and reliability of the vehicle.

[0066] In one embodiment, Figure 3 As shown, according to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, the adjusted charging power information of each of the emergency power-consuming equipment is adjusted in an emergency manner, and the equipment operation control information corresponding to the armrest screen charging base is generated, including:

[0067] Step 302: Identify the abnormal emergency scenario corresponding to the target vehicle based on the vehicle emergency driving data.

[0068] Among them, the abnormal emergency scenario may be a scenario in which the vehicle is currently in an abnormal situation.

[0069] Specifically, the neural network of the armrest screen charging base extracts the data features of the vehicle's emergency driving data and identifies the abnormal feature data of the target vehicle. Combined with the identified vehicle abnormal form pattern, the armrest screen charging base further matches the preset abnormal scenario library to determine the specific abnormal emergency scenario faced by the current target vehicle (such as an impending collision, road obstacle avoidance, or sudden health problems of the occupants in the vehicle, etc.).

[0070] Step 304, according to the abnormal emergency scenario, select each emergency main equipment and each emergency auxiliary equipment from the emergency power equipment connected to the handrail screen.

[0071] Among them, the emergency main equipment can be the main equipment for alleviating or eliminating abnormal situations, and the emergency auxiliary equipment can be the auxiliary equipment for alleviating or eliminating abnormal situations.

[0072] Specifically, after the armrest screen charging base identifies the abnormal emergency scenario, it analyzes the key functional requirements required for the abnormal emergency scenario. For example, in a scenario where a car collision causes personal injury, the in-vehicle life support system and the in-vehicle satellite communication system may be considered key equipment. The armrest screen charging base then controls each control module through the armrest screen to filter out equipment that can meet these key functional requirements from the emergency power equipment, and marks it as the main emergency equipment. At the same time, the armrest screen charging base also identifies those devices that provide auxiliary support in this scenario, such as emergency lighting, emergency heating, etc., and marks them as emergency auxiliary equipment.

[0073] Step 306, taking the emergency vehicle charging rated power as a constraint condition, adjusting the adjusted charging power information corresponding to each emergency main device, and adjusting the adjusted charging power information corresponding to each emergency auxiliary device, to obtain.

[0074] Specifically, the armrest screen charging base takes the emergency vehicle charging rated power as the total power constraint condition to ensure that the overall charging power does not exceed the current maximum output capacity of the vehicle. Then the armrest screen charging base adjusts the charging power information of the emergency main equipment and emergency auxiliary equipment according to their priorities. For the emergency main equipment, the armrest screen charging base controls each control module through the armrest screen to preferentially allocate sufficient power to meet the activity needs, ensuring that they can operate normally in an emergency; then within the remaining power range, the armrest screen charging base controls each control module through the armrest screen to allocate appropriate power to the emergency auxiliary equipment to meet the activity needs, such as charging power. Finally, these adjusted charging power information are integrated into the device operation control information corresponding to the armrest screen charging base. After the device operation control information can be set through the server or the armrest screen, it is automatically executed by the armrest screen charging base after identifying or obtaining the trigger information. In some embodiments, the device operation control information can be controlled by the server or the armrest screen. The method of each emergency power-consuming equipment to perform activities according to the emergency adjusted charging power information can be executed when the entire vehicle is abnormally powered off.

[0075] In this embodiment, by identifying the abnormal emergency scenarios of the vehicle in real time under emergency conditions, intelligently selecting key emergency main equipment and auxiliary equipment, and optimizing and adjusting the charging power distribution of these equipment under the condition of limited charging power, the equipment operation control information is finally generated. This method ensures that in an emergency, the key equipment of the vehicle can obtain power support first, thereby improving the survivability and safety of the vehicle in an emergency state, while reasonably allocating limited power resources and maximizing the emergency response efficiency of the overall system.

[0076] In one embodiment, Figure 4As shown, taking the emergency vehicle charging rated power as a constraint condition, adjusting the charging power information corresponding to each emergency main equipment, and adjusting the charging power information corresponding to each emergency auxiliary equipment, the equipment operation control information corresponding to the armrest screen charging base is obtained, including:

[0077] Step 402, according to the emergency equipment power allocation algorithm of the abnormal emergency scenario, calculate the main equipment charging power adjustment amount corresponding to each emergency main equipment, and calculate the auxiliary equipment charging power adjustment amount corresponding to each emergency auxiliary equipment.

[0078] The emergency equipment power allocation algorithm can be an algorithm used to optimize and allocate power resources when the vehicle encounters an emergency. The emergency equipment power allocation algorithm is usually composed of a combination of multiple algorithms, including priority scheduling algorithms, which are used to sort and allocate power according to the importance of the equipment; dynamic programming and linear programming algorithms, which help find the optimal power allocation plan under constraints; fuzzy logic algorithms, which deal with uncertainties in emergency situations; heuristic algorithms, such as genetic algorithms or simulated annealing, which are used to quickly find near-optimal allocation plans; and Bayesian networks, which dynamically adjust strategies to cope with changes in real-time data.

[0079] Among them, the main equipment charging power adjustment amount can be the charging power change amount of the emergency main equipment.

[0080] The auxiliary equipment charging power adjustment amount may be a charging power change amount of the emergency auxiliary equipment.

[0081] Specifically, after identifying an abnormal emergency scenario, the armrest screen charging base calls the preset emergency equipment power allocation algorithm to perform calculations based on the urgency of the scenario, the priority of the electrical equipment, and the power demand. For the emergency equipment power allocation algorithm, the main equipment charging power adjustment amount of the emergency main equipment is calculated first, that is, in the emergency scenario, the charging power that needs to be increased or decreased to ensure the normal operation of these key equipment. Next, the armrest screen charging base calculates the auxiliary equipment charging power adjustment amount of the emergency auxiliary equipment on the premise of ensuring that the power demand of the main equipment is met, that is, the increase or decrease value of the charging power allocated to the auxiliary equipment based on the remaining available power.

[0082] Step 404, according to the charging power adjustment amount of each main device, adjust the corresponding charging power information of the corresponding emergency main device, and obtain the charging power information of each main device corresponding to the armrest screen charging base.

[0083] Among them, the main equipment charging power information can be the specific charging power data allocated by the system to key emergency equipment in an emergency.

[0084] Specifically, the emergency equipment power allocation algorithm for abnormal emergency scenarios is continued to be used, and the actual power requirements of these emergency main equipment in emergency situations are further re-evaluated based on the charging power adjustment amount of each emergency main equipment. Then the emergency equipment power allocation algorithm makes corresponding adjustments to the adjusted charging power information previously set for these devices, and applies the power adjustment amount to these emergency main equipment to ensure that they can obtain the required power support in an emergency, and obtain the charging power information of each main equipment.

[0085] Among them, the power allocation expression of the emergency equipment power allocation algorithm for the main emergency equipment is:

[0086]

[0087] Among them, the Charging power information for the main device, the For adjusting the charging power information, the For the In the emergency scenario, the weight factor of the main emergency equipment is For the In the emergency scenario, the priority score of the main emergency equipment is For the The power adjustment amount of the main emergency equipment in the emergency scenario, is the nonlinear adjustment index of the power allocation expression of the emergency main equipment, is the global adjustment factor of the power allocation expression of the emergency main equipment, is the nonlinear global index of the power allocation expression of the emergency main equipment, It is the multiplication effect factor of the power allocation expression of the main emergency equipment.

[0088] Among them, the weight factor for the main emergency equipment is to measure the k The importance of emergency main equipment relative to other equipment in this emergency scenario reflects the importance of emergency main equipment in the first kThe weight factor will affect the power allocation priority of the main emergency equipment in an emergency situation. The higher the weight of the main emergency equipment, the more power resources it will get during emergency power allocation. The weight factor of the main emergency equipment is the historical weight factor calculated by the armrest screen charging base based on the response data of the main emergency equipment in historical emergency scenarios obtained on other cars, the equipment startup frequency, the completion of key tasks, etc., using statistical tools such as principal component analysis (PCA) or hierarchical analysis method (AHP). The historical weight factor is modified by calculating the performance of the current car in different emergency scenarios to quantify its importance and normalize it into a weight factor, which is used for weighting power allocation between different devices.

[0089] Among them, the priority score of the main emergency equipment is expressed in the first k The priority level of the main emergency equipment in each emergency scenario is used to indicate the response priority of the main emergency equipment relative to other equipment in an emergency situation. Generally speaking, the main emergency equipment with a high priority is usually the equipment that first needs to obtain power support during emergency processing; the priority score of the main emergency equipment is evaluated by the urgency of the task and the importance of the equipment. For example, some equipment undertakes core tasks in specific emergency scenarios, so its priority and score are also higher. The priority score can be preset in the memory module of the handrail screen charging base through the experience of experts in historical emergency scenarios, or determined by the handrail screen charging base executing a fuzzy logic system combined with a neural network model to analyze the urgency and safety risk analysis of task execution.

[0090] The power adjustment of the main emergency equipment refers to the k In an emergency scenario, the main emergency equipment needs to increase or decrease power on the basis of the current power allocation. The power adjustment reflects the power adjustment of the main emergency equipment according to its working status and real-time demand. The power adjustment of the main emergency equipment is obtained by differential calculation of the real-time operating status, power consumption monitoring and emergency demand of the main emergency equipment, and dynamic correction is combined with external environmental factors (such as temperature and load) to determine the power value that the equipment needs to increase or decrease in an emergency.

[0091] Among them, the nonlinear adjustment index of the power allocation expression of the main emergency equipment reflects the nonlinear change of power demand in emergency situations, so that the main emergency equipment has different response sensitivities under different power demand conditions; the nonlinear adjustment index is obtained by analyzing the historical responses of the main emergency equipment under different power demands. For example, in an emergency situation, the power demand of some main emergency equipment may show a nonlinear growth. As the load of the main emergency equipment increases, its power demand does not increase linearly. Therefore, based on the historical data of the main emergency equipment and its power load curve, the index can be determined by fitting the relationship curve between power demand, time and load.

[0092] Among them, the global adjustment factor of the power allocation expression of the main emergency equipment is a parameter used to coordinate the overall power allocation of multiple main emergency equipment. It ensures the power distribution balance of multiple main emergency equipment in the global scope, prevents a certain main emergency equipment from over-consuming power and affecting the operation of other main emergency equipment; the global adjustment factor sets an objective function based on the weight factor and priority score of the equipment, with the goal of maximizing equipment benefits or minimizing power consumption, combined with ensuring that the total power allocation of the equipment does not exceed the global power supply of the system, while meeting the minimum and maximum power requirements of each device to set constraints, and uses a linear programming algorithm (such as the simplex method or the interior point method) to solve the optimal solution, thereby determining the global factor to ensure the efficiency and global balance of power allocation.

[0093] Among them, the nonlinear global index of the power allocation expression of the main emergency equipment is used to control the nonlinear balance of power allocation among multiple main emergency equipment. When the power demand of the main emergency equipment shows different nonlinear trends in different scenarios, the global power allocation is adjusted to achieve balance; the nonlinear global index determines the power change curve of the global power allocation under different demand scenarios through the historical data of multiple main emergency equipment, and obtains the index by fitting the global nonlinear model.

[0094] Among them, the multiplication effect factor of the power allocation expression of the main emergency equipment represents the superposition effect of the power demand of the interaction between the main emergency equipment. This parameter controls the interactive effect of power demand when multiple main emergency equipment work at the same time, reflecting the synergistic or competitive relationship of the power demand of the main emergency equipment; the multiplication effect factor is determined by analyzing the interactive effect between the main emergency equipment through experimental and simulation data. When multiple main emergency equipment are running at the same time, their power demand may produce synergistic or competitive effects. By measuring the superposition effect of power demand of multiple main emergency equipment working together and calculating the interaction between these equipment, a mathematical model of the synergistic or inhibitory effect of the equipment can be fitted, and by calculating, for example, the power consumption ratio of two main emergency equipment, the multiplication effect factor can be determined, thereby reflecting the power interaction relationship between the equipment.

[0095] Step 406, according to the charging power adjustment amount of each auxiliary device, adjust the corresponding charging power information of the corresponding emergency auxiliary device to obtain the charging power information of each auxiliary device corresponding to the armrest screen charging base.

[0096] The auxiliary equipment charging power information may be specific charging power data allocated by the system to the auxiliary emergency equipment in an emergency situation.

[0097] Specifically, the emergency equipment power allocation algorithm for abnormal emergency scenarios is continued to be used, and the actual power demand of these devices in the current emergency situation is further evaluated based on the previously calculated charging power adjustment of each emergency auxiliary device. Then the emergency equipment power allocation algorithm applies these adjustment amounts to the original charging power information of the emergency auxiliary devices, performs corresponding power adjustments, and obtains the charging power information of each auxiliary device.

[0098] Among them, the power allocation expression for emergency auxiliary equipment in the expression of emergency equipment power allocation algorithm is:

[0099]

[0100] Among them, the Charging power information for the auxiliary device, the For adjusting the charging power information, the For the In the emergency scenario, the weight factor of the main emergency equipment is For the In the emergency scenario, the priority score of the main emergency equipment is For the The power adjustment amount of the main emergency equipment in the emergency scenario, is the nonlinear adjustment index of the power distribution expression of the emergency auxiliary equipment, is the global adjustment factor of the power allocation expression of the emergency auxiliary equipment, is the nonlinear global index of the power allocation expression of the emergency auxiliary equipment, It is the multiplication effect factor of the power allocation expression of the emergency auxiliary equipment.

[0101] Since the definition and acquisition method of each parameter in the power allocation expression of the emergency auxiliary equipment is the same as that of the power allocation expression of the emergency main equipment, the difference between the two is that the power allocation expression of the emergency auxiliary equipment is for each different emergency auxiliary equipment, while the power allocation expression of the emergency main equipment is for each different emergency main equipment. Therefore, for each parameter in the power allocation expression of the emergency auxiliary equipment,

[0102] For the definition and acquisition method of the weight factor of emergency auxiliary equipment, please refer to the definition and acquisition method of the weight factor of emergency main equipment;

[0103] For the definition and acquisition method of the priority score of emergency auxiliary equipment, please refer to the definition and acquisition method of the priority score of emergency main equipment;

[0104] For the definition and acquisition method of the power adjustment amount of emergency auxiliary equipment, please refer to the definition and acquisition method of the power adjustment amount of emergency main equipment;

[0105] For the definition and acquisition method of the nonlinear adjustment index of the power allocation expression of the emergency auxiliary equipment, please refer to the definition and acquisition method of the nonlinear adjustment index of the power allocation expression of the emergency main equipment;

[0106] For the definition and acquisition method of the global adjustment factor of the power allocation expression of the emergency auxiliary equipment, please refer to the definition and acquisition method of the global adjustment factor of the power allocation expression of the emergency main equipment;

[0107] For the definition and acquisition method of the nonlinear global index of the power allocation expression of the emergency auxiliary equipment, please refer to the definition and acquisition method of the nonlinear global index of the power allocation expression of the emergency main equipment;

[0108] For the definition and acquisition method of the multiplication effect factor of the power distribution expression of emergency auxiliary equipment, please refer to the definition and acquisition method of the multiplication effect factor of the power distribution expression of emergency main equipment.

[0109] Step 408, when the sum of the charging power information of each main device and the charging power information of each auxiliary device is greater than the rated charging power of the emergency vehicle, identify the important emergency information of each emergency main device and the important emergency information of each emergency auxiliary device in the abnormal emergency scene.

[0110] Among them, the important emergency information may be the importance and urgency of using each main emergency equipment and each auxiliary emergency equipment in the current scenario.

[0111] Specifically, the armrest screen charging base calculates the sum of the charging power information of each main device and each auxiliary device, and compares it with the emergency vehicle charging rated power of the target vehicle. If the total power demand exceeds the emergency vehicle charging rated power, the armrest screen charging base will enter the priority identification stage. At this time, the armrest screen charging base will analyze and identify the important emergency information of each emergency main device and the important emergency information of each emergency auxiliary device based on the preset emergency importance level. These important emergency information include the functional criticality of the equipment in the current emergency scenario, the degree of impact on safety, and the necessity for task completion.

[0112] Step 410, based on the emergency equipment power optimization algorithm of the abnormal emergency scenario and various important emergency information, the charging power information of each main device and the charging power information of each auxiliary device are optimized to obtain the device operation control information corresponding to the armrest screen charging base.

[0113] Among them, the emergency equipment power optimization algorithm can be an algorithm used to optimize the allocation of power resources in emergency situations.

[0114] Specifically, after identifying the important emergency information of each emergency main equipment and each emergency auxiliary equipment, the armrest screen charging base calls the emergency equipment power optimization algorithm, and based on the importance of each emergency main equipment and each emergency auxiliary, the needs of the current abnormal emergency scenario, and the total power constraints of the target vehicle, further optimizes and adjusts the charging power information of each device to better meet the needs of the current scenario, giving priority to ensuring that high-importance equipment obtains sufficient power to ensure activities, such as ensuring charging power, and reasonably allocating it to other equipment within the remaining power range to obtain equipment operation control information.

[0115] Among them, the expression of the emergency equipment power optimization algorithm includes the power optimization expression of the emergency main equipment and the power optimization expression of the emergency auxiliary equipment. The power optimization expression of the emergency main equipment is:

[0116]

[0117] Among them, the is the emergency charging power information of the main equipment in the equipment operation control information, The utility function of the emergency main equipment is the power allocation expression of the emergency main equipment, For the In the emergency scenario, the weight factor of the main emergency equipment is For the In the emergency scenario, the priority score of the main emergency equipment is For the The power adjustment amount of the main emergency equipment in the emergency scenario, is the nonlinear adjustment index of the power optimization expression of the emergency main equipment, is the global adjustment factor of the power optimization expression of the emergency main equipment, is the nonlinear global index of the power optimization expression of the emergency main equipment, is the multiplication effect factor of the power optimization expression of the main emergency equipment, is the coefficient of the adjustment log function of the power optimization expression of the emergency main equipment, is the overall nonlinear adjustment index of the power optimization expression of the main emergency equipment, is the priority sensitivity parameter of the power optimization expression of the emergency main equipment, is the allocation adjustment index of the power optimization expression of the emergency main equipment, is the nonlinear combination index of the power optimization expression of the main emergency equipment, is the initial power influence parameter for adjusting the power optimization expression of the main emergency equipment, is the multiplication effect index of the power optimization expression of the main emergency equipment, argmax is a function for finding parameters (sets) of the utility function of the main emergency equipment, maximize To maximize the utility function of the main emergency equipment.

[0118] Since the definition and acquisition method of some parameters in the power optimization expression of the main emergency equipment is the same as the definition and acquisition method of each parameter in the power allocation expression of the main emergency equipment, the difference between the two is that the power optimization expression of the main emergency equipment is aimed at the power optimization effect of each different main emergency equipment, while the power allocation expression of the main emergency equipment is aimed at the power allocation effect of each different main emergency equipment. Therefore, for some parameters with the same definition and acquisition method,

[0119] For the definition and acquisition method of the weight factors of the main emergency equipment in the power optimization expression of the main emergency equipment, please refer to the definition and acquisition method of the weight factors of the main emergency equipment in the power allocation expression of the main emergency equipment;

[0120] For the definition and acquisition method of the priority score of the main emergency equipment in the power optimization expression of the main emergency equipment, please refer to the definition and acquisition method of the priority score of the main emergency equipment in the power allocation expression of the main emergency equipment;

[0121] For the definition and acquisition method of the power adjustment amount of the main emergency equipment in the power optimization expression of the main emergency equipment, please refer to the definition and acquisition method of the power adjustment amount of the main emergency equipment in the power allocation expression of the main emergency equipment;

[0122] For the definition and acquisition method of the nonlinear adjustment index in the power optimization expression of the main emergency equipment, please refer to the definition and acquisition method of the nonlinear adjustment index in the power allocation expression of the main emergency equipment;

[0123] For the definition and acquisition method of the global adjustment factor in the power optimization expression of the main emergency equipment, please refer to the definition and acquisition method of the global adjustment factor in the power allocation expression of the main emergency equipment;

[0124] For the definition and acquisition method of the nonlinear global index in the power optimization expression of the main emergency equipment, please refer to the definition and acquisition method of the nonlinear global index in the power allocation expression of the main emergency equipment;

[0125] For the definition and acquisition method of the multiplication effect factor in the power optimization expression of the main emergency equipment, please refer to the definition and acquisition method of the multiplication effect factor in the power allocation expression of the main emergency equipment.

[0126] The power allocation expressions for the main emergency equipment and the power allocation expressions for the auxiliary emergency equipment do not mention some parameters in the power optimization expressions for the main emergency equipment. The specific definitions and acquisition methods are as follows.

[0127] Among them, the coefficient of the adjustment log function of the power optimization expression of the main emergency equipment is used to control the growth rate of the power demand of the main emergency equipment. Its main function is to smooth the power adjustment process when the power demand changes greatly. The logarithmic function compresses the greatly fluctuating power demand to make the change more controllable. In the case of instantaneous increase in the power demand of the main emergency equipment, it can effectively avoid the impact of sudden demand on the system; by fitting the logarithmic function of the historical power demand data of the main emergency equipment under different load conditions over time, the logarithmic change curve is obtained to smooth the sharp fluctuation of the equipment power, so that its power adjustment is more gentle and controllable. Further, through nonlinear regression technology, such as the least squares method, the logarithmic change curve is fitted to determine the optimal value of the coefficient of the adjustment log function. This coefficient can effectively control the excessive growth of the power demand of the main emergency equipment in emergency situations and ensure that the system can gradually respond to load changes.

[0128] Among them, the overall nonlinear adjustment index of the power optimization expression of the main emergency equipment reflects the nonlinear power changes of the globally controlled main emergency equipment in different emergency scenarios. The index describes the nonlinear degree of the power demand of the globally controlled main emergency equipment changing with time, load and other factors, and can adapt to the complex power demands in different emergency scenarios. By using nonlinear fitting techniques such as polynomial regression, the nonlinear growth curve of the power demand data of the global control is fitted to determine the value of the overall nonlinear adjustment index of the global control. Global control means that according to the overall trend of the nonlinear changes in the overall power demand of each main emergency equipment, the overall nonlinear adjustment index is used to coordinate the response speed and sensitivity of the power distribution, ensuring that the global control range can adapt to this rapid change, while balancing the power demand of all equipment globally.

[0129] Among them, the priority sensitivity parameter of the power optimization expression of the main emergency equipment is used to measure the change of the power allocation of the main emergency equipment with the change of the priority score. This parameter determines the response amplitude of the power allocation amount when the priority score of the main emergency equipment changes. A higher priority sensitivity parameter means that the priority score of the main emergency equipment has a significant impact on its power allocation, and vice versa. Before the car leaves the factory, the priority score of the main emergency equipment is adjusted through experiments or simulations, and the amplitude of the power allocation change with the score is measured, and then the relationship curve between the priority score and the power allocation is fitted, and the priority sensitivity parameter is determined and preset in the armrest screen charging base.

[0130] Among them, the allocation adjustment index of the power optimization expression of the main emergency equipment is a parameter used to adjust the proportion of the power allocation of each main emergency equipment in the global power allocation. It controls the dynamic adjustment degree of the power allocation of the main emergency equipment in the emergency scenario, ensuring that when power resources are limited, the high-priority main emergency equipment can obtain sufficient resource support; by constructing the optimization objective function of power allocation, analyzing the relationship between the power demand of each main emergency equipment and the global power supply, and gradually optimizing the power allocation of each main emergency equipment, in the process of optimizing the optimization objective function, adjust the power allocation weight in the objective function, use linear programming (such as the simplex method) or nonlinear programming (such as the gradient descent method) to optimize the power allocation of each main emergency equipment, and determine the optimal value of the allocation adjustment index.

[0131] Among them, the nonlinear combination index of the power optimization expression of the main emergency equipment is used to adjust the parameters of the nonlinear combination effect of multiple main emergency equipment in power optimization. It reflects the interaction of multiple main emergency equipment in power demand, ensuring that in emergency scenarios with tight power, the synergy between the main emergency equipment can be reasonably optimized to avoid excessive concentration or dispersion of power distribution; through experiments or simulation technology, the power demand changes of multiple main emergency equipment when sharing limited power resources are measured, especially the nonlinear combination effect of power demand when the main emergency equipment works together, and further use nonlinear regression to fit the nonlinear combination effect of power demand between multiple main emergency equipment to determine the nonlinear combination index.

[0132] Among them, the adjustment initial power influence parameter of the power optimization expression of the main emergency equipment is used to control the parameters of the influence of the initial power allocation on the final power allocation of the main emergency equipment; by analyzing the usage data of the initial power allocation and the actual power allocation of the historical power of the main emergency equipment, the least squares method is used to fit the relationship between the initial power and the actual power allocation to determine the adjustment initial power influence parameter.

[0133] Among them, the multiplicative effect index of the power optimization expression of the main emergency equipment is used to describe the multiplicative effect of the power demand of multiple main emergency equipment when they are operating in coordination. It reflects the mutual influence between the power demands when multiple main emergency equipment work together, especially under emergency conditions, the coordinated work of the main emergency equipment may lead to an increase or decrease in power demand. Through the historical experimental data in advance, the changes in power demand of multiple main emergency equipment when sharing power resources are analyzed, especially when multiple main emergency equipment work in coordination or compete for power, the changes in power demand, the product model is used to fit the interaction of power demands between the main emergency equipment, and the multiplicative effect index is determined.

[0134] The power optimization expression of the emergency auxiliary equipment is:

[0135]

[0136] Among them, the is the auxiliary equipment emergency charging power information in the equipment operation control information, is the utility function of the emergency auxiliary equipment of the power allocation expression of the emergency auxiliary equipment, For adjusting the charging power information, the For the In an emergency scenario, the weight factor of the emergency auxiliary equipment is For the In the emergency scenario, the priority score of the emergency auxiliary equipment is For the The power adjustment amount of the emergency auxiliary equipment in an emergency scenario, is the nonlinear adjustment index of the power optimization expression of the emergency auxiliary equipment, is the global adjustment factor of the power optimization expression of the emergency auxiliary equipment, is the nonlinear global index of the power optimization expression of the emergency auxiliary equipment, is the coefficient of the sine function term in the power optimization expression of the emergency auxiliary equipment, is the exponential decay coefficient of the power optimization expression of the emergency auxiliary equipment, is the exponential decay constant of the power optimization expression of the emergency auxiliary equipment, is the overall nonlinear adjustment index of the power optimization expression of the emergency auxiliary equipment, is the priority sensitivity parameter of the power optimization expression of the emergency auxiliary equipment, is the allocation adjustment index of the power optimization expression of the emergency auxiliary equipment, is the nonlinear combination index of the power optimization expression of the emergency auxiliary equipment, is the phase offset of the sinusoidal function of the power optimization expression of the emergency auxiliary equipment, is the multiplication effect index of the power optimization expression of the emergency auxiliary equipment, argmax is a function for finding parameters (sets) of the utility function of the emergency assistance equipment, maximize To maximize the utility function of the emergency assistance equipment.

[0137] Since the definition and acquisition method of some parameters in the power optimization expression of emergency auxiliary equipment are the same as those in the power optimization expression of emergency main equipment, the difference between the two is that the power optimization expression of emergency auxiliary equipment is the effect of power optimization for each different emergency auxiliary equipment, while the power optimization expression of emergency main equipment is the effect of power optimization for each different emergency main equipment. Therefore, for some parameters with the same definition and acquisition method,

[0138] For the definition and acquisition method of the weight factor of the emergency main equipment in the power optimization expression of the emergency auxiliary equipment, please refer to the definition and acquisition method of the weight factor of the emergency main equipment in the power optimization expression of the emergency main equipment;

[0139] For the definition and acquisition method of the priority score of the emergency main equipment in the power optimization expression of the emergency auxiliary equipment, please refer to the definition and acquisition method of the priority score of the emergency main equipment in the power optimization expression of the emergency main equipment;

[0140] For the definition and acquisition method of the power adjustment amount of the emergency main equipment in the power optimization expression of the emergency auxiliary equipment, please refer to the definition and acquisition method of the power adjustment amount of the emergency main equipment in the power optimization expression of the emergency main equipment;

[0141] For the definition and acquisition method of the nonlinear adjustment index in the power optimization expression of emergency auxiliary equipment, please refer to the definition and acquisition method of the nonlinear adjustment index in the power optimization expression of emergency main equipment;

[0142] For the definition and acquisition method of the global adjustment factor in the power optimization expression of emergency auxiliary equipment, please refer to the definition and acquisition method of the global adjustment factor in the power optimization expression of emergency main equipment;

[0143] For the definition and acquisition method of the nonlinear global index in the power optimization expression of the emergency auxiliary equipment, please refer to the definition and acquisition method of the nonlinear global index in the power optimization expression of the emergency main equipment;

[0144] For the definition and acquisition method of the overall nonlinear adjustment index in the power optimization expression of emergency auxiliary equipment, please refer to the definition and acquisition method of the overall nonlinear adjustment index in the power optimization expression of emergency main equipment;

[0145] For the definition and acquisition method of the multiplication effect index in the power optimization expression of emergency auxiliary equipment, please refer to the definition and acquisition method of the multiplication effect index in the power optimization expression of emergency main equipment;

[0146] For the definition and acquisition method of the priority sensitivity parameters in the power optimization expression of emergency auxiliary equipment, please refer to the definition and acquisition method of the priority sensitivity parameters in the power optimization expression of emergency main equipment;

[0147] For the definition and acquisition method of the allocation adjustment index in the power optimization expression of emergency auxiliary equipment, please refer to the definition and acquisition method of the allocation adjustment index in the power optimization expression of emergency main equipment;

[0148] For the definition and acquisition method of the nonlinear combination index in the power optimization expression of emergency auxiliary equipment, please refer to the definition and acquisition method of the nonlinear combination index in the power optimization expression of emergency main equipment.

[0149] For some parameters in the power optimization expression of emergency auxiliary equipment that are not mentioned in the power allocation expression of emergency main equipment, the power allocation expression of emergency auxiliary equipment, and the power optimization expression of emergency main equipment, the specific definitions and acquisition methods are as follows.

[0150] Among them, the coefficient of the sinusoidal function term in the power optimization expression of the emergency auxiliary equipment is the parameter for adjusting the amplitude of the sinusoidal waveform in the power optimization expression. It controls the fluctuation amplitude of the power of the emergency auxiliary equipment when it changes with time or load cycle, and reflects the periodic changes in the power demand of the emergency auxiliary equipment at different time points; through historical experiments, the power demand data of the emergency auxiliary equipment in a specific period is collected, the periodic changes of the power of the emergency auxiliary equipment with time are recorded, and the sinusoidal function is used to fit the power demand fluctuation of the emergency auxiliary equipment to determine the coefficient of the sinusoidal function term.

[0151] Among them, the exponential decay coefficient of the power optimization expression of the emergency auxiliary equipment is used to describe the parameters of the power of the emergency auxiliary equipment showing an exponentially decreasing trend with time or load. It controls the speed at which the power of the emergency auxiliary equipment decays over time, especially in emergency scenarios, where the power demand of the emergency auxiliary equipment gradually decreases after an initial rapid increase. By experimentally measuring the power changes of the emergency auxiliary equipment during long-term operation and analyzing the historical data of the power decrease of the emergency auxiliary equipment over time, especially when the high load increases rapidly at the initial stage and then gradually decreases, an exponential function is used to fit the power demand of the emergency auxiliary equipment to determine the exponential decay coefficient.

[0152] Among them, the exponential decay constant of the power optimization expression of the emergency auxiliary equipment is the time constant that describes the power decay process of the emergency auxiliary equipment over time. It reflects the time required for the power demand to grow from the initial stage to reach the steady state. It is usually used together with the exponential decay coefficient to describe the gradual decay of the power demand. The exponential decay model is used to determine the time exponential decay constant by experimentally measuring and analyzing the changes in the power demand of the emergency auxiliary equipment over time, especially in the smooth transition stage after the initial power peak.

[0153] Among them, the phase offset of the sine function in the power optimization expression of the emergency auxiliary equipment represents the translation of the power demand fluctuation relative to the time axis, which determines the starting point of the periodic fluctuation of the power demand in time, that is, the phase change of the sine wave; the periodic changes of the power of the emergency auxiliary equipment at different time points are measured experimentally, and the power data are fitted with the sine function to determine the phase offset of the sine function.

[0154] In this embodiment, the emergency equipment power allocation and optimization algorithm is used to intelligently allocate and adjust the charging power of key equipment and auxiliary equipment in emergency situations to ensure that important equipment is given priority in power support. Even if the total power demand exceeds the vehicle's charging capacity, the system can optimize power allocation by identifying the importance of the equipment to maximize the safe operation of the vehicle in emergency scenarios and the normal operation of key functions. This strategy improves the vehicle's responsiveness and survivability in complex emergency environments, while effectively utilizing limited power resources and avoiding unnecessary power waste.

[0155] In one embodiment, Figure 5 As shown, according to the charging peak power of each emergency power-consuming device, the initial vehicle charging rated power is adjusted to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power, including:

[0156] Step 502: Add the charging peak powers of the emergency power devices to obtain the total charging peak powers.

[0157] Specifically, the armrest screen charging base controls each control module through the armrest screen to extract the corresponding charging peak power data from each emergency power equipment, and then adds these charging peak power values ​​​​one by one to obtain the total charging peak power of all emergency power equipment.

[0158] Step 504 : determining a charging power adjustment amount of the initial vehicle charging rated power according to the total charging peak power.

[0159] The charging power adjustment amount may be a change in the adjusted charging rated power provided by the target vehicle.

[0160] Specifically, the sum of the charging peak powers is compared with the initial vehicle charging rated power of the target vehicle. If there is a difference between the two, the armrest screen charging base determines that the initial vehicle charging rated power needs to be adjusted; if there is no difference between the two, the armrest screen charging base determines that the initial vehicle charging rated power does not need to be adjusted. Further, if the sum of the charging peak powers is greater than the initial vehicle charging rated power, the armrest screen charging base will calculate the required charging power adjustment to ensure that the vehicle can provide sufficient power to support the needs of emergency equipment.

[0161] Step 506 , calculating the current maximum rated output value of the target vehicle according to the charging power adjustment amount and the initial vehicle charging rated power.

[0162] Specifically, the calculated charging power adjustment is added or subtracted from the initial vehicle charging rated power to obtain the charging power that can meet the needs of each emergency power device; however, the target vehicle takes into account that electric energy has a certain attenuation under different circumstances, so the armrest screen charging base calculates the current maximum rated output value of the target vehicle based on the adjusted total power demand. This current maximum rated output value represents the maximum power output capacity that the vehicle needs or can provide in the current emergency situation, and takes into account the power requirements of all emergency equipment and the safety and performance limitations of the vehicle's power system.

[0163] Step 508 , adjusting the initial vehicle charging rated power to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power.

[0164] Specifically, according to the current maximum rated output value of the target vehicle, the initial vehicle charging rated power originally set for the target vehicle is adjusted until the power provided by the target vehicle is the same as the current maximum rated output value, thereby obtaining the emergency vehicle charging rated power.

[0165] In this embodiment, the initial vehicle charging rated power is determined and adjusted by calculating the total charging peak power of the emergency power equipment, and finally the emergency vehicle charging rated power is obtained. This process ensures that in an emergency, the vehicle can optimize its charging power output according to actual needs, thereby providing the most suitable power support and maximizing the use of the vehicle's power resources. This optimization adjustment not only improves the operating efficiency of the vehicle in an emergency, but also ensures that key equipment obtains sufficient power, thereby ensuring the safety of the vehicle and passengers.

[0166] In one embodiment, Figure 6 As shown, according to the charging power adjustment amount and the initial vehicle charging rated power, the current maximum rated output value of the target vehicle is calculated, including:

[0167] Step 602: Add the charging power adjustment amount to the initial vehicle charging rated power to obtain the vehicle charging power demand value.

[0168] The vehicle charging power demand value may be the minimum charging power value required to normally charge various emergency power equipment.

[0169] Specifically, the armrest screen charging base adds the calculated charging power adjustment amount to the initial vehicle charging rated power to obtain the vehicle charging power demand value of the target vehicle under the current circumstances.

[0170] Step 604 , determining the current maximum rated output value of the target vehicle according to the vehicle charging power demand value and the current maximum power supply value of the target vehicle.

[0171] The current maximum power supply value may be the maximum charging power that the target vehicle can currently provide.

[0172] Specifically, the armrest screen charging base obtains the current maximum power supply value of the target vehicle. If the current maximum power supply value of the target vehicle is greater than the vehicle charging power demand value, the target vehicle is set to provide the charging power corresponding to the vehicle charging power demand value, and use it as the current maximum rated output value; if the current maximum power supply value of the target vehicle is less than the vehicle charging power demand value, the target vehicle is set to provide charging power according to the vehicle's current maximum power supply value, and use it as the current maximum rated output value.

[0173] In this embodiment, the actual charging power demand value of the vehicle is calculated by adding the charging power adjustment amount to the initial vehicle charging rated power, and compared with the current maximum power supply value of the target vehicle to determine the current maximum rated output value of the vehicle. This process ensures that the vehicle can adjust its power output according to real-time demand in various situations and optimize the distribution of charging power. This dynamic adjustment not only improves the energy efficiency of the vehicle, but also ensures that key systems obtain sufficient power support without exceeding the maximum power supply capacity of the vehicle, thereby improving the safety and stability of the vehicle under complex driving conditions.

[0174] In one embodiment, Figure 7 As shown, according to the vehicle charging power demand value and the current maximum power supply value of the target vehicle, the current maximum rated output value of the target vehicle is determined, including:

[0175] Step 702: When the vehicle charging power demand value is greater than the current maximum power supply value, the target vehicle is controlled to start the emergency power supply to obtain the emergency power supply value.

[0176] Among them, the emergency power supply power supply value can be the charging power that the emergency power supply in the target car can provide. This data can be obtained by adding the power supply powers of all power supplies of the target vehicle in the current situation using the armrest screen charging base.

[0177] Specifically, the vehicle charging power demand value is compared with the current maximum power supply value. If the vehicle charging power demand value is greater than the current maximum power supply value, the armrest screen charging base will automatically trigger the emergency response mechanism, and control the target vehicle to start the emergency power supply through the armrest screen to supplement the additional power demand. After the emergency power supply is started, the power supply value of the emergency power supply is calculated according to the fixed parameters of the emergency power supply.

[0178] Step 704: When the sum of the emergency power supply power value and the current maximum power supply value is still less than the vehicle charging power requirement value, determine the emergency charging power adjustment mode according to the navigation data, inertial data and vital sign data.

[0179] Among them, the emergency charging power adjustment mode can be a power management strategy enabled in an emergency situation to optimize power distribution when the available power of the vehicle is insufficient to meet the needs of all equipment.

[0180] Specifically, the emergency power supply power supply value and the current maximum power supply value are added to obtain the sum of the power supply values, and the sum of the power supply values ​​is compared with the vehicle charging power demand value. If the sum of the emergency power supply power supply value and the current maximum power supply value is still less than the vehicle charging power demand value, the armrest screen charging base will enter the emergency charging power adjustment mode. At this time, the armrest screen charging base will comprehensively evaluate the current emergency situation and priority needs based on navigation data (such as current driving path, destination distance, etc.), inertial data (such as vehicle speed, acceleration, etc.), and vital signs data (such as occupant health status), and further determine the emergency charging power adjustment mode that best suits the current situation based on the evaluated data.

[0181] Step 706: Calculate the current maximum rated output value corresponding to different time periods according to the emergency charging power adjustment mode.

[0182] Specifically, according to the emergency charging power adjustment mode, the power demand priority of vehicles in different time periods is analyzed, and the changes in power demand of key equipment in these time periods are considered. Then, in each time period, the armrest screen charging base calculates the power value required for the target vehicle to charge each power-consuming device in the time period according to the power resources allocated by the emergency charging power adjustment mode as the current maximum rated output value. If the current maximum rated output value required to be provided in the time period does not exceed the current maximum power supply value of the target vehicle, this output value will vary due to changes in demand within the time period.

[0183] In this embodiment, when the vehicle charging power demand exceeds the maximum power supply value, the emergency power supply is automatically started to supplement the power, and when the emergency power supply is still insufficient to meet the demand, the charging power distribution mode is dynamically adjusted based on navigation, inertia and vital signs data. This adjustment mode ensures that when power resources are limited, the power supply of key equipment is prioritized and the power output is optimized according to different time periods. This process improves the efficiency and flexibility of the vehicle's power management in emergency situations, ensures that the vehicle can still maintain the operation of core functions under extreme conditions, and maximizes the safety of passengers and the stability of the vehicle.

[0184] In one embodiment, Figure 8 As shown, under the constraint of the initial vehicle charging rated power, according to the vehicle internal driving data and the vehicle external environment data, the initial charging power information of the target vehicle during driving is adjusted in real time to obtain the adjusted charging power information, including:

[0185] Step 802 , based on the real-time power adjustment algorithm of the target vehicle, under the constraint of the initial vehicle charging rated power, according to the vehicle internal driving data and the vehicle external environment data, determine each internal driving power adjustment coefficient and each external environment power adjustment coefficient.

[0186] Among them, the real-time power adjustment algorithm can be an algorithm for dynamically managing the charging power distribution of the vehicle's armrest screen charging base. It adjusts the power output and distribution of the armrest screen charging base based on the vehicle's current operating status and real-time data of the external environment.

[0187] The internal driving power adjustment coefficient may be an adjustment coefficient calculated according to the internal driving data of the vehicle (such as speed, acceleration, battery status, etc.) in real-time power management.

[0188] The external environment power adjustment coefficient may be an adjustment coefficient calculated based on the external environment data of the vehicle (such as road conditions, weather conditions, traffic congestion level, etc.).

[0189] Specifically, the armrest screen charging base calls the real-time power adjustment algorithm of the target vehicle, and starts to analyze the vehicle's internal driving data (such as speed, acceleration, current battery status, etc.) and the vehicle's external environmental data (such as road conditions, traffic conditions, weather changes, etc.) under the constraint of the initial vehicle charging rated power. Then the armrest screen charging base dynamically evaluates the information on the usage requirements of each internal driving parameter and external environmental factor for the vehicle's internal electrical equipment based on each analysis data, and calculates the internal driving power adjustment coefficient due to the change in usage requirements of some or all of the electrical equipment caused by the vehicle's internal driving data due to the vehicle's operation, and the external environmental power adjustment coefficient due to the change in usage requirements of some or all of the electrical equipment caused by the vehicle's external environmental data due to the vehicle's operation, which requires the charging strategy to be adjusted.

[0190] Step 804 : determining the real-time power adjustment information corresponding to each initial charging power information according to each internal driving power adjustment coefficient and each external environment power adjustment coefficient.

[0191] The real-time power adjustment information may be an adjustment amount for the initial charging power information.

[0192] Specifically, these initial power values ​​are corrected according to the previously calculated internal driving power adjustment coefficient and external environment power adjustment coefficient. Specifically, the armrest screen charging base multiplies each internal driving power adjustment coefficient and each external environment power adjustment coefficient by the corresponding initial charging power information to determine the adjusted power change, that is, the real-time power adjustment information.

[0193] Step 806: Adjust the corresponding initial charging power information according to each real-time power adjustment information to obtain each adjusted charging power information.

[0194] Specifically, according to each real-time power adjustment information, the initial charging power information of each electric device is added or subtracted to obtain an absolute value to obtain each adjusted charging power information.

[0195] Among them, the expression of the real-time power adjustment algorithm is:

[0196]

[0197] Among them, the For the The charging power adjustment information of the electric device, For the The initial charging power information of the electric device, is a velocity function, is the adjustment factor of the speed function for the current vehicle speed, is the weight parameter of the speed function, is the acceleration function, is the adjustment factor of the acceleration function for the current vehicle acceleration, is the weight parameter of the acceleration function, is a terrain function, is the adjustment factor of the terrain function for the current road slope, is the weight parameter of the terrain function, is a weather function, is the adjustment factor of the weather function for the current weather conditions, is the weight parameter of the weather function, is the traffic function, is the adjustment factor of the traffic function for the current traffic conditions, is the weight parameter of the traffic function.

[0198] The speed function is a function that describes the effect of the vehicle's current speed on the power demand of electrical equipment. This function is used to adjust power distribution to adapt to the power demand of electrical equipment under different vehicle speed conditions. For example, when the vehicle speed increases, the power demand of some electrical equipment may increase accordingly. The speed function is determined by fitting the changes in the power demand of the vehicle at different speeds through laboratory data or machine simulation data. By recording the power consumption of electrical equipment when the vehicle is traveling at different speeds, it is assumed that the relationship between vehicle speed and power demand is nonlinear or linear. The speed function can be expressed as:

[0199]

[0200] Among them , and It is a coefficient determined by fitting and analyzing the power requirements of the vehicle at different speeds through laboratory data or machine simulation data.

[0201] Among them, the acceleration function is used to describe the impact of vehicle acceleration on the power demand of electrical equipment. It reflects the change in the power demand of electrical equipment when the vehicle accelerates or decelerates. The acceleration function analyzes the change in the power demand of the vehicle under different accelerations through laboratory data or machine simulation data, and uses regression analysis or data fitting technology to determine the specific form of the acceleration function. Therefore, the acceleration function can be expressed as:

[0202]

[0203] in, , and It is a coefficient obtained by analyzing the changes in the vehicle's power demand under different accelerations through laboratory data or machine simulation data. It is used to describe the impact of acceleration on power.

[0204] Among them, the terrain function describes the impact of the current road slope on power demand. It is used to represent the change in power demand of electrical equipment under different slope conditions, especially the adjustment of power demand of electrical equipment when going uphill or downhill. The terrain function analyzes the change in power demand of electrical equipment under different slope conditions through laboratory data or machine simulation data, and uses data fitting technology to determine the specific form of the terrain function. Therefore, the terrain function can be expressed as:

[0205]

[0206] Among them , and It is a parameter obtained by fitting the changes in power demand of electrical equipment under different slope conditions through laboratory data or machine simulation data analysis, and a coefficient determined by fitting the changes in power demand when a vehicle is traveling on different slopes.

[0207] Among them, the weather function is used to describe the impact of current weather conditions on the power demand of electrical equipment. It reflects the adjustment of power demand of electrical equipment under different weather conditions (such as rain, snow, sunny days, wind speed, etc.). The weather function analyzes the power consumption of electrical equipment under different weather conditions through laboratory data or machine simulation data, and uses regression analysis or fitting technology to determine the specific form of the weather function. Therefore, the terrain function can be expressed as:

[0208]

[0209] Among them , and The coefficients determined by fitting the power consumption data of the electrical equipment under different weather conditions are obtained by fitting laboratory data or machine simulation data.

[0210] The traffic function describes the impact of current traffic conditions on the power demand of electrical equipment. This function is used to adjust the power demand of electrical equipment under different traffic flow conditions. The traffic function analyzes the changes in power demand of electrical equipment under different traffic flows through laboratory data or machine simulation data, and uses data fitting technology to determine the specific form of the traffic function. Therefore, the terrain function can be expressed as:

[0211]

[0212] Among them , and The coefficients determined by fitting are analyzed through laboratory data or machine simulation data to determine the impact of electrical equipment on power demand under different traffic conditions.

[0213] In this embodiment, through the real-time power adjustment algorithm, under the constraint of the initial vehicle charging rated power, the power adjustment coefficient is dynamically calculated and applied based on the vehicle's internal driving data and external environmental data. These adjustment coefficients are used to generate real-time power adjustment information and further adjust the initial charging power to generate optimized charging power information. This process ensures that the vehicle can flexibly adjust power distribution under different driving conditions and environments to maximize energy efficiency and system performance. This not only improves the operating efficiency of the vehicle, but also can cope with complex environmental changes, ensuring that the electrical equipment in the vehicle is always operating in the best condition and improving driving safety.

[0214] In one embodiment, Fig. 9 As shown, after selecting each emergency power device for abnormality from each power device connected to the armrest screen according to at least one of the navigation data, the inertial data and the vital sign data, the method further includes:

[0215] Step 902, when the armrest screen charging base detects a power outage in the power supply system of the target vehicle, the initial vehicle charging rated power is switched to the current maximum rated output value of the armrest screen according to the emergency charging power of each emergency power equipment to obtain the emergency armrest screen charging rated power.

[0216] Among them, the emergency charging power can be the power provided by the armrest screen to emergency power equipment (such as navigation systems, life support equipment, etc.) when the vehicle encounters an abnormality in the power supply system.

[0217] Among them, the rated charging power of the emergency handrail screen can be the maximum output power value when the vehicle encounters an abnormality in the power supply system and uses the handrail screen as the only power source.

[0218] Specifically, when the armrest screen charging base detects that the power supply system of the target vehicle is out of power, the armrest screen charging base identifies and obtains the connected emergency power-consuming devices and their emergency charging powers through the armrest screen, and calculates the total emergency charging power demand of these devices. Based on the calculated total demand, the armrest screen charging base adjusts the initial charging rated power of the vehicle to the maximum rated output power that the armrest screen can currently provide for reverse output power, that is, the emergency armrest screen charging rated power.

[0219] Step 904, based on the target vehicle's emergency driving data and the emergency armrest screen charging rated power, emergency adjustments are made to the charging power information of each emergency electrical equipment to generate equipment emergency charging information corresponding to the armrest screen charging base.

[0220] Among them, the equipment emergency charging information can be the charging power data for emergency use after the armrest screen charging base is dynamically adjusted according to the real-time needs of each emergency power equipment and available power resources when an abnormality occurs in the vehicle power supply system.

[0221] Specifically, after the navigation data, inertial data or vital signs data of the target vehicle are abnormal, the emergency driving data perception module of the target vehicle is triggered, and then the armrest screen charging base obtains the emergency driving data of the target vehicle, where the emergency driving data may include the acceleration, speed, driving route, and other dynamic information related to the emergency state (such as the blood oxygen content, body surface temperature, breathing rate, facial expression characteristics, and mobility of the occupants of the vehicle) of the vehicle in an emergency. Combined with the emergency armrest screen charging rated power that has been switched to, the armrest screen charging base controls each control module through the armrest screen to further adjust the previously set adjustment charging power information of each emergency power-consuming device, ensuring that the armrest screen charging base controls each control module through the armrest screen under safe charging conditions, and reversely charges each or part of the emergency power-consuming device through the power storage device in the armrest screen, so as to adapt to the activity needs of each or part of the emergency power-consuming device used to alleviate or eliminate the current emergency situation, and generate the equipment emergency charging information corresponding to the armrest screen charging base.

[0222] In this embodiment, when the vehicle power supply system is powered off, the armrest screen charging base can respond quickly, and adjust the initial vehicle charging power to the maximum output value of the armrest screen through the armrest screen, ensuring that the emergency armrest screen charging rated power meets the needs of various emergency equipment. At the same time, the armrest screen charging base dynamically adjusts the charging power of the emergency equipment according to the vehicle's emergency driving data, generates accurate equipment emergency charging information, and transmits and executes it in a timely manner through the armrest screen. This intelligent adjustment and response mechanism ensures a continuous and stable power supply for key emergency equipment in emergency situations, thereby improving the safety and emergency handling capabilities of the vehicle in emergency situations.

[0223] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0224] Based on the same inventive concept, the embodiment of the present application also provides a charging safety sensing device for an armrest screen charging base for realizing the charging safety sensing method of the armrest screen charging base involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of the charging safety sensing device for the armrest screen charging base provided below can be referred to the above limitations on the charging safety sensing method for the armrest screen charging base, which will not be repeated here.

[0225] In one embodiment, Fig.10 As shown, a charging safety perception device for an armrest screen charging base is provided, including: a driving data prediction module 1002, a charging power adjustment module 1004, an emergency equipment selection module 1006 and a charging power protection module 1008, wherein:

[0226] The driving data prediction module 1002 is used to determine the initial charging power information of each electrical device connected to the handrail screen during the operation of the target vehicle and the initial vehicle charging rated power according to the vehicle driving prediction data of the target vehicle;

[0227] The charging power adjustment module 1004 is used to adjust each initial charging power information in real time during the driving process according to the internal driving data of the vehicle and the external environment data of the vehicle under the constraint of the initial vehicle charging rated power, so as to obtain each adjusted charging power information;

[0228] The emergency equipment selection module 1006 is used to select emergency electrical equipment corresponding to the abnormality from the electrical equipment connected to the armrest screen according to at least one of the navigation data, inertial data and vital sign data when the navigation data, inertial data or vital sign data of the target vehicle is abnormal;

[0229] The charging power protection module 1008 is used to adjust the initial vehicle charging rated power to the current maximum rated output value of the target vehicle according to the charging peak power of each emergency power device, so as to obtain the emergency vehicle charging rated power;

[0230] The charging power adjustment module 1004 is also used to make emergency adjustments to the adjusted charging power information of each of the emergency power equipment according to the emergency driving data of the target vehicle and the rated charging power of the emergency vehicle, and generate equipment operation control information corresponding to the armrest screen charging base; the equipment operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module of the target vehicle connected to the armrest screen through the armrest screen to enable each emergency power equipment to operate according to the charging power information after the emergency adjustment.

[0231] In one embodiment, the charging power adjustment module 1004 is also used to identify the abnormal emergency scenario corresponding to the target vehicle based on the vehicle emergency driving data; according to the abnormal emergency scenario, each emergency main equipment and each emergency auxiliary equipment are selected from the emergency power equipment connected to the armrest screen; using the emergency vehicle charging rated power as a constraint condition, adjusting the adjusted charging power information corresponding to each emergency main equipment, and adjusting the adjusted charging power information corresponding to each emergency auxiliary equipment, to obtain the device operation control information corresponding to the armrest screen charging base.

[0232] In one embodiment, the charging power adjustment module 1004 is also used to calculate the main equipment charging power adjustment amount corresponding to each emergency main equipment and the auxiliary equipment charging power adjustment amount corresponding to each emergency auxiliary equipment according to the emergency equipment power allocation algorithm of the abnormal emergency scene; adjust the adjusted charging power information corresponding to the corresponding emergency main equipment according to the charging power adjustment amount of each main equipment, and obtain the charging power information of each main equipment corresponding to the armrest screen charging base; adjust the adjusted charging power information corresponding to the corresponding emergency auxiliary equipment according to the charging power adjustment amount of each auxiliary equipment, and obtain the charging power information of each auxiliary equipment corresponding to the armrest screen charging base; when the sum of the charging power information of each main equipment and the charging power information of each auxiliary equipment is greater than the rated charging power of the emergency vehicle, identify the emergency important information of each emergency main equipment and each emergency auxiliary equipment in the abnormal emergency scene; optimize the emergency important information of the charging power information of each main equipment and the charging power information of each auxiliary equipment according to the emergency equipment power optimization algorithm of the abnormal emergency scene and the emergency important information, and obtain the equipment operation control information corresponding to the armrest screen charging base.

[0233] In one embodiment, the charging power protection module 1008 is also used to add the charging peak powers of each emergency power equipment to obtain the total charging peak power; determine the charging power adjustment amount of the initial vehicle charging rated power according to the total charging peak power; calculate the current maximum rated output value of the target vehicle according to the charging power adjustment amount and the initial vehicle charging rated power; adjust the initial vehicle charging rated power to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power.

[0234] In one embodiment, the charging power protection module 1008 is also used to add the charging power adjustment amount to the initial vehicle charging rated power to obtain the vehicle charging power demand value; the charging power adjustment amount is the charging power increase or the charging power decrease; according to the vehicle charging power demand value and the current maximum power supply value of the target vehicle, the current maximum rated output value of the target vehicle is determined; the current maximum power supply value is obtained by adding the power supply power of all power supply sources of the target vehicle under the current circumstances through the armrest screen charging base.

[0235] In one embodiment, the charging power protection module 1008 is also used to control the target vehicle to start the emergency power supply to obtain the emergency power supply power supply value when the vehicle charging power demand value is greater than the current maximum power supply value; when the sum of the emergency power supply power supply value and the current maximum power supply value is still less than the vehicle charging power demand value, determine the emergency charging power adjustment mode according to the navigation data, inertial data and vital signs data; and calculate the current maximum rated output value corresponding to different time periods according to the emergency charging power adjustment mode.

[0236] In one embodiment, the charging power adjustment module 1004 is also used to determine each internal driving power adjustment coefficient and each external environment power adjustment coefficient based on the real-time power adjustment algorithm of the target vehicle under the constraint of the initial vehicle charging rated power according to the internal driving data of the vehicle and the external environment data of the vehicle; determine the real-time power adjustment information corresponding to each initial charging power information according to each internal driving power adjustment coefficient and each external environment power adjustment coefficient; adjust the corresponding initial charging power information according to each real-time power adjustment information to obtain each adjusted charging power information.

[0237] In one embodiment, the charging power adjustment module 1004 is also used to switch the initial vehicle charging rated power to the current maximum rated output value of the handrail screen according to the emergency charging power of each emergency power device when the handrail screen charging base detects a power outage in the power supply system of the target vehicle, so as to obtain the emergency handrail screen charging rated power; according to the vehicle emergency driving data of the target vehicle and the emergency handrail screen charging rated power, emergency adjustments are made to the adjusted charging power information of each emergency power device to generate the equipment emergency charging information corresponding to the handrail screen charging base.

[0238] Each module in the charging safety sensing device of the above-mentioned armrest screen charging base can be fully or partially implemented by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above modules.

[0239] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig.11 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data of the armrest screen charging base. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a charging safety perception method for an armrest screen charging base is implemented.

[0240] Those skilled in the art will understand that Fig.11The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0241] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0242] In one embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0243] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-mentioned method embodiments.

[0244] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0245] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0246] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0247] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A charging safety perception method for an armrest screen charging base, characterized in that: Applied to the armrest screen charging base, the armrest screen is electrically connected to the armrest screen charging base, and the method includes: Determine, according to the vehicle driving prediction data of the target vehicle, the initial charging power information of each electrical device connected to the armrest screen in communication with the target vehicle during the operation of the target vehicle and the initial vehicle charging rated power; Under the constraint of the initial vehicle charging rated power, according to the vehicle internal driving data and the vehicle external environment data, the initial charging power information is adjusted in real time during the driving process to obtain each adjusted charging power information; In the event that the navigation data, inertial data or vital sign data of the target vehicle is abnormal, selecting emergency electrical devices corresponding to the abnormality from the electrical devices connected to the armrest screen according to at least one of the navigation data, the inertial data and the vital sign data; According to the charging peak power of each of the emergency electrical equipment, the initial vehicle charging rated power is adjusted to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power; the emergency vehicle charging rated power is the maximum rated charging power provided by the target vehicle in an emergency situation; The step of adjusting the initial vehicle charging rated power to the current maximum rated output value of the target vehicle according to the charging peak power of each of the emergency electrical equipment to obtain the emergency vehicle charging rated power includes: Adding the charging peak powers of the emergency electrical equipment to obtain a total charging peak power; Determining a charging power adjustment amount of the initial vehicle charging rated power according to the charging peak power sum; Calculating a current maximum rated output value of the target vehicle according to the charging power adjustment amount and the initial vehicle charging rated power; Adjusting the initial vehicle charging rated power to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power; According to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, emergency adjustments are made to the adjusted charging power information of each of the emergency electrical equipment, and device operation control information corresponding to the armrest screen charging base is generated; the device operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module connected to the target vehicle through the armrest screen, so that each of the emergency electrical equipment operates according to the charging power information after emergency adjustment.

2. The method according to claim 1, characterized in that According to the vehicle emergency driving data of the target vehicle and the emergency vehicle charging rated power, emergency adjustment is made to the adjusted charging power information of each of the emergency electrical equipment to generate the equipment operation control information corresponding to the armrest screen charging base, including: According to the vehicle emergency driving data, identifying the abnormal emergency scene corresponding to the target vehicle; According to the abnormal emergency scenario, each emergency main device and each emergency auxiliary device are selected from each emergency power device connected to the handrail screen; Taking the emergency vehicle charging rated power as a constraint condition, adjust the charging power information corresponding to each of the emergency main equipment, and adjust the charging power information corresponding to each of the emergency auxiliary equipment to obtain the equipment operation control information corresponding to the armrest screen charging base.

3. The method according to claim 2, characterized in that The emergency vehicle charging rated power is used as a constraint condition to adjust the adjusted charging power information corresponding to each of the emergency main equipment, and to adjust the adjusted charging power information corresponding to each of the emergency auxiliary equipment, to obtain the equipment operation control information corresponding to the armrest screen charging base, including: According to the emergency equipment power allocation algorithm of the abnormal emergency scenario, the main equipment charging power adjustment amount corresponding to each of the emergency main equipment is calculated, and the auxiliary equipment charging power adjustment amount corresponding to each of the emergency auxiliary equipment is calculated; According to the charging power adjustment amount of each of the main devices, the adjusted charging power information corresponding to the corresponding emergency main device is adjusted to obtain the charging power information of each main device corresponding to the handrail screen charging base; According to the charging power adjustment amount of each auxiliary device, the adjusted charging power information corresponding to the corresponding emergency auxiliary device is adjusted to obtain the charging power information of each auxiliary device corresponding to the armrest screen charging base; When the sum of the charging power information of each of the main devices and the charging power information of each of the auxiliary devices is greater than the rated charging power of the emergency vehicle, identifying the important emergency information of each of the emergency main devices and each of the emergency auxiliary devices in the abnormal emergency scenario; According to the emergency equipment power optimization algorithm of the abnormal emergency scenario and each of the important emergency information, the emergency important information of the charging power information of each of the main equipment and the charging power information of each of the auxiliary equipment are optimized to obtain the equipment operation control information corresponding to the armrest screen charging base.

4. The method according to claim 3, characterized in that The expression of the emergency equipment power allocation algorithm includes the power allocation expression of the emergency main equipment and the power allocation expression of the emergency auxiliary equipment. The power allocation expression of the emergency main equipment is: Among them, the Charging power information for the main device, the For adjusting the charging power information, the For the In the emergency scenario, the weight factor of the main emergency equipment is For the In the emergency scenario, the priority score of the main emergency equipment is For the The power adjustment amount of the main emergency equipment in the emergency scenario, is the nonlinear adjustment index of the power allocation expression of the emergency main equipment, is the global adjustment factor of the power allocation expression of the emergency main equipment, is the nonlinear global index of the power allocation expression of the emergency main equipment, is the multiplication effect factor of the power allocation expression of the main emergency equipment; The power distribution expression of the emergency auxiliary equipment is: Among them, the Charging power information for the auxiliary device, the For adjusting the charging power information, the For the In an emergency scenario, the weight factor of the emergency auxiliary equipment is For the In the emergency scenario, the priority score of the emergency auxiliary equipment is For the The power adjustment amount of the emergency auxiliary equipment in an emergency scenario, is the nonlinear adjustment index of the power distribution expression of the emergency auxiliary equipment, is the global adjustment factor of the power allocation expression of the emergency auxiliary equipment, is the nonlinear global index of the power allocation expression of the emergency auxiliary equipment, It is the multiplication effect factor of the power allocation expression of the emergency auxiliary equipment.

5. The method according to claim 3, characterized in that: The expression of the emergency equipment power optimization algorithm includes the power optimization expression of the emergency main equipment and the power optimization expression of the emergency auxiliary equipment. The power optimization expression of the emergency main equipment is: Among them, the is the emergency charging power information of the main equipment in the equipment operation control information, The utility function of the emergency main equipment is the power allocation expression of the emergency main equipment, For the In the emergency scenario, the weight factor of the main emergency equipment is For the In the emergency scenario, the priority score of the main emergency equipment is For the The power adjustment amount of the main emergency equipment in the emergency scenario, is the nonlinear adjustment index of the power optimization expression of the emergency main equipment, is the global adjustment factor of the power optimization expression of the emergency main equipment, is the nonlinear global index of the power optimization expression of the emergency main equipment, is the multiplication effect factor of the power optimization expression of the main emergency equipment, is the coefficient of the adjustment log function of the power optimization expression of the emergency main equipment, is the overall nonlinear adjustment index of the power optimization expression of the main emergency equipment, is the priority sensitivity parameter of the power optimization expression of the emergency main equipment, is the allocation adjustment index of the power optimization expression of the emergency main equipment, is the nonlinear combination index of the power optimization expression of the main emergency equipment, is the initial power influence parameter for adjusting the power optimization expression of the main emergency equipment, is the multiplication effect index of the power optimization expression of the main emergency equipment, argmax is a function for finding a parameter set for the utility function of the main emergency equipment, maximize To maximize the utility function of the main emergency equipment; The power optimization expression of the emergency auxiliary equipment is: Among them, the is the auxiliary equipment emergency charging power information in the equipment operation control information, is the utility function of the emergency auxiliary equipment of the power allocation expression of the emergency auxiliary equipment, For adjusting the charging power information, the For the In an emergency scenario, the weight factor of the emergency auxiliary equipment is For the In the emergency scenario, the priority score of the emergency auxiliary equipment is For the The power adjustment amount of the emergency auxiliary equipment in an emergency scenario, is the nonlinear adjustment index of the power optimization expression of the emergency auxiliary equipment, is the global adjustment factor of the power optimization expression of the emergency auxiliary equipment, is the nonlinear global index of the power optimization expression of the emergency auxiliary equipment, is the coefficient of the sine function term in the power optimization expression of the emergency auxiliary equipment, is the exponential decay coefficient of the power optimization expression of the emergency auxiliary equipment, is the exponential decay constant of the power optimization expression of the emergency auxiliary equipment, is the overall nonlinear adjustment index of the power optimization expression of the emergency auxiliary equipment, is the priority sensitivity parameter of the power optimization expression of the emergency auxiliary equipment, is the allocation adjustment index of the power optimization expression of the emergency auxiliary equipment, is the nonlinear combination index of the power optimization expression of the emergency auxiliary equipment, is the phase offset of the sinusoidal function of the power optimization expression of the emergency auxiliary equipment, is the multiplication effect index of the power optimization expression of the emergency auxiliary equipment, argmax is a function for obtaining a parameter set for the utility function of the emergency assistance equipment, maximize To maximize the utility function of the emergency assistance equipment.

6. The method according to claim 1, characterized in that The calculating the current maximum rated output value of the target vehicle according to the charging power adjustment amount and the initial vehicle charging rated power includes: Adding the charging power adjustment amount to the initial vehicle charging rated power to obtain a vehicle charging power demand value; the charging power adjustment amount is a charging power increase amount or a charging power decrease amount; The current maximum rated output value of the target vehicle is determined based on the vehicle charging power demand value and the current maximum power supply value of the target vehicle; the current maximum power supply value is obtained by adding the power supply power of all power supply sources of the target vehicle under the current circumstances by the armrest screen charging base.

7. The method according to claim 6, characterized in that The determining, according to the vehicle charging power demand value and the current maximum power supply value of the target vehicle, the current maximum rated output value of the target vehicle comprises: When the vehicle charging power demand value is greater than the current maximum power supply value, controlling the target vehicle to start the emergency power supply to obtain the emergency power supply power supply value; When the sum of the emergency power supply power value and the current maximum power supply value is still less than the vehicle charging power requirement value, determining an emergency charging power adjustment mode according to the navigation data, the inertial data and the vital sign data; According to the emergency charging power adjustment mode, current maximum rated output values ​​corresponding to different time periods are calculated.

8. The method according to claim 1, characterized in that Under the constraint of the initial vehicle charging rated power, according to the vehicle internal driving data and the vehicle external environment data, the initial charging power information is adjusted in real time during the driving process to obtain the adjusted charging power information, including: Based on the real-time power adjustment algorithm of the target vehicle, under the constraint of the initial vehicle charging rated power, according to the internal driving data of the vehicle and the external environment data of the vehicle, determine each internal driving power adjustment coefficient and each external environment power adjustment coefficient; Determining the real-time power adjustment information corresponding to each of the initial charging power information according to each of the internal driving power adjustment coefficients and each of the external environment power adjustment coefficients; The corresponding initial charging power information is adjusted according to each of the real-time power adjustment information to obtain each of the adjusted charging power information.

9. The method according to claim 8, characterized in that The expression of the real-time power adjustment algorithm is: Among them, the For the The charging power adjustment information of the electric device, For the The initial charging power information of the electric device, is a velocity function, is the adjustment factor of the speed function for the current vehicle speed, is the weight parameter of the speed function, is the acceleration function, is the adjustment factor of the acceleration function for the current vehicle acceleration, is the weight parameter of the acceleration function, is a terrain function, is the adjustment factor of the terrain function for the current road slope, is the weight parameter of the terrain function, is a weather function, is the adjustment factor of the weather function for the current weather conditions, is the weight parameter of the weather function, is the traffic function, is the adjustment factor of the traffic function for the current traffic conditions, is the weight parameter of the traffic function.

10. The method according to claim 1, characterized in that After the step of selecting emergency power devices for the abnormality from the power devices connected to the armrest screen according to at least one of the navigation data, the inertial data and the vital sign data, the method further includes: When the armrest screen charging base detects that the power supply system of the target vehicle has power failure information, the initial vehicle charging rated power is switched to the current maximum rated output value of the armrest screen according to the emergency charging power of each of the emergency power equipment to obtain the emergency armrest screen charging rated power; According to the vehicle emergency driving data of the target vehicle and the rated charging power of the emergency armrest screen, emergency adjustments are made to the adjusted charging power information of each of the emergency electrical equipment, and the equipment emergency charging information corresponding to the armrest screen charging base is generated; the equipment emergency charging information is transmitted from the armrest screen charging base to the armrest screen, and is used to charge each of the emergency electrical equipment through the armrest screen.

11. A charging safety sensing device for an armrest screen charging base, characterized in that: Applied to the armrest screen charging base, the armrest screen is electrically connected to the armrest screen charging base, and the device includes: A driving data prediction module, used to determine the initial charging power information of each electrical device connected to the armrest screen during the operation of the target vehicle and the initial vehicle charging rated power according to the vehicle driving prediction data of the target vehicle; A charging power adjustment module, configured to adjust each of the initial charging power information in real time during driving according to the vehicle internal driving data and the vehicle external environment data under the constraint of the initial vehicle charging rated power, so as to obtain each of the adjusted charging power information; An emergency equipment selection module, for selecting emergency electrical equipment corresponding to the abnormality from the electrical equipment connected to the armrest screen according to at least one of the navigation data, the inertial data and the vital sign data when the navigation data, the inertial data or the vital sign data of the target vehicle is abnormal; A charging power protection module, used to adjust the initial vehicle charging rated power to the current maximum rated output value of the target vehicle according to the charging peak power of each of the emergency electrical equipment, so as to obtain the emergency vehicle charging rated power; the emergency vehicle charging rated power is the maximum rated charging power provided by the target vehicle in an emergency situation; The step of adjusting the initial vehicle charging rated power to the current maximum rated output value of the target vehicle according to the charging peak power of each of the emergency electrical equipment to obtain the emergency vehicle charging rated power includes: Adding the charging peak powers of the emergency electrical equipment to obtain a total charging peak power; Determining a charging power adjustment amount of the initial vehicle charging rated power according to the charging peak power sum; Calculating a current maximum rated output value of the target vehicle according to the charging power adjustment amount and the initial vehicle charging rated power; Adjusting the initial vehicle charging rated power to the current maximum rated output value of the target vehicle to obtain the emergency vehicle charging rated power; The charging power adjustment module is also used to make emergency adjustments to the adjusted charging power information of each of the emergency electrical equipment according to the vehicle emergency driving data of the target vehicle and the rated charging power of the emergency vehicle, and generate equipment operation control information corresponding to the armrest screen charging base; the equipment operation control information is transmitted from the armrest screen charging base to the armrest screen, and is used to control the control module connected to the target vehicle through the armrest screen to enable each of the emergency electrical equipment to operate according to the charging power information after emergency adjustment.

12. A computer comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 10 are implemented.

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