A new energy vehicle state early warning pushing method and system

Abstract

This invention relates to a method and system for sending early warnings and alerts for new energy vehicles. The method includes: acquiring multi-dimensional data of the vehicle in real time; defining multiple risk states based on the vehicle's application status and different parameters in the multi-dimensional data; assigning a risk weight to each risk state; comparing the multi-dimensional data with a data judgment table; dynamically adjusting each risk weight based on the comparison result and the corresponding vehicle status to obtain the latest risk weight; calculating the current assessment score based on the latest risk weight; matching the current assessment score with a level determination rule; and performing a corresponding push operation based on the matching result. This application enables real-time monitoring of vehicles, corresponding risk assessments, and dynamic emergency strategies, providing drivers with a safer driving environment.

Description

Technical Field

[0001] This invention relates to the field of vehicle safety monitoring technology, and in particular to a method and system for sending early warnings about the status of new energy vehicles. Background Technology

[0002] Pure electric new energy vehicles have significant differences in power structure (no engine, relying on high-voltage three-electric components) compared to traditional fuel vehicles, resulting in unique safety warning requirements: The specific risks are highly concealed: risks such as battery thermal runaway, cell consistency deviation, and overvoltage of the electronic control bus are difficult to identify in advance with existing static thresholds. For example, the false range label caused by a sudden drop in cell temperature at low temperature can easily lead to misjudgment by the driver. Lack of charging safety scenarios: During fast charging, frequent failures such as overheating of the charging gun and interruption of BMS communication occur, but traditional solutions do not combine charging scenarios with push strategies. For example, when the charging interface is hot, it only alarms simply without linking nearby compliant charging stations. Insufficient emergency response: When a motor failure causes a power interruption, the traditional solution only sends a warning message and does not trigger emergency measures such as automatic deceleration and emergency braking, which increases the risk of accidents at high speeds. Poor adaptability to basic faults: Common faults such as insufficient tire pressure and low-voltage battery depletion need to be judged in conjunction with the status of the high-voltage circuit of pure electric vehicles (such as low-voltage depletion affecting the power supply of the electronic control system), and the existing solution lacks the relevant logic.

[0003] Therefore, it is urgent to integrate pure electric vehicle-specific risk monitoring and dynamic emergency response strategies, as well as to build a targeted early warning system. Summary of the Invention

[0004] Therefore, the purpose of this invention is to provide a method and system for early warning and push notification of the status of new energy vehicles, so as to solve the shortcomings of the prior art.

[0005] To achieve the above objectives, the present invention provides a method for sending early warnings about the status of new energy vehicles, the method comprising: Real-time acquisition of multi-dimensional vehicle data; definition of multiple risk states based on the vehicle's application status and different parameters in the multi-dimensional data; each risk state is matched with a risk weight. The multidimensional data is compared with the data judgment table. Based on the comparison results and the corresponding status of the vehicle, the risk weights are dynamically adjusted to obtain the latest risk weights. The current assessment score is calculated based on the latest risk weights. The current assessment score is matched with the level determination rules. Based on the matching results, the corresponding push operation is performed. The level determination rules include emergency level, important level and general level. Different levels in the level determination rules correspond to different push operations.

[0006] The beneficial effects of this invention are as follows: By acquiring multi-dimensional vehicle data in real time, defining multiple risk states based on the vehicle's application status and different parameters of the multi-dimensional data, comparing the multi-dimensional data with a data judgment table, and then dynamically adjusting the risk weights corresponding to each risk state based on the comparison results and the corresponding vehicle status to obtain the latest risk weights, calculating the current assessment score based on the latest risk weights, and matching the current assessment score with the level determination rules, so as to perform corresponding push operations based on the matching results. This enables real-time monitoring of vehicles and risk assessment based on the monitored data to implement dynamic emergency strategies, providing drivers with a safer driving environment.

[0007] Furthermore, the step of matching the current evaluation score with the level determination rules and performing corresponding push operations based on the matching results includes: When the current assessment score is within the range of the emergency level, the system will trigger flashing lights and a voice alarm, activate the battery cooling system or emergency deceleration, push the nearest new energy vehicle rescue station, and activate the vehicle manufacturer's remote monitoring. When the current evaluation score is within the range of the importance level, the light flashes and the charging APP pop-up reminder is triggered, prompting the user to move aside for inspection and linking the location to push compliant charging stations and repair points; When the current evaluation score is within the range of the general level, a message reminder is sent to the vehicle's APP, the navigation automatically corrects the remaining range, and the local memory is polled and updated.

[0008] Furthermore, the risk status includes risks related to the three core electrical components (battery, motor, and electronic control system), charging risks, driving risks, and basic fault risks. The method also includes: The risk is defined as the three-electric risks when the vehicle is in a discharged state and there is at least one of the following: battery thermal runaway, motor power interruption, and electronic control failure. The driving risk is defined as follows: when the vehicle is in a discharged state and there is at least one of the following conditions: high-speed driving, energy recovery failure, and low ambient temperature. The basic fault risk is defined as follows: when the vehicle is in a discharging or charging state and there is at least one of the following conditions: vehicle tire pressure error and low-voltage battery depletion. The charging risk is defined as the situation where the vehicle is charging and there is at least one of the following: overheating of the charging gun, interruption of BMS communication, and charging overload.

[0009] Furthermore, the formula for calculating the current evaluation score is as follows:

[0010] Where R represents the evaluation score, , , and These represent the latest risk weights for the three-electric risks (battery, motor, and electronic control system), charging risks, driving risks, and basic fault risks, respectively. S, C, D, and E represent the three-electric risks, charging risks, driving risks, and basic fault risks, respectively.

[0011] Furthermore, the step of dynamically adjusting each of the risk weights based on the comparison results and in conjunction with the corresponding state of the vehicle includes: When the vehicle is in a discharged state and the driving speed is greater than the speed threshold, the risk weight corresponding to the driving risk is increased, and the risk weight corresponding to the three-electric risks is decreased. When the vehicle is charging and the charging gun temperature is greater than the surface temperature threshold, the risk weight corresponding to the charging risk is increased, and the risk weight corresponding to the basic fault risk is decreased.

[0012] Furthermore, the method also includes: The sampling frequency is set to be greater than or equal to 10Hz, and the multi-dimensional data is synchronized to the cloud early warning platform via the vehicle-mounted T-BOX, BMS, and VCU.

[0013] To achieve the above objectives, the present invention also provides a new energy vehicle status early warning push system, used to implement the new energy vehicle status early warning push method described above, the system comprising: The acquisition and definition module is used to acquire multi-dimensional data of the vehicle in real time, define multiple risk states based on the vehicle's application status and different parameters in the multi-dimensional data, and match each risk state with a risk weight. The calculation and push module is used to compare the multidimensional data with the data judgment table, dynamically adjust each risk weight based on the comparison result and the corresponding status of the vehicle to obtain the latest risk weight, calculate the current assessment score based on the latest risk weight, match the current assessment score with the level determination rules, and perform corresponding push operations based on the matching result. The level determination rules include emergency level, important level and general level, and different levels in the level determination rules correspond to different push operations.

[0014] Furthermore, the level determination rules include emergency level, important level, and general level, and the calculation and push module includes: The first push unit is used to trigger flashing lights and a voice alarm, trigger the battery cooling system or emergency deceleration operation, push to the nearest new energy vehicle rescue station, and activate the vehicle manufacturer's remote monitoring when the current evaluation score is within the score range of the emergency level. The second push unit is used to trigger a flashing light and a pop-up reminder in the charging APP when the current evaluation score is within the score range of the importance level, reminding the user to move aside for inspection and linking the location to push compliant charging stations and repair points.

[0015] The third push unit is used to send a message reminder to the vehicle's APP when the current evaluation score is within the range of the general level score, automatically correct the navigation range, and poll and update the local memory. Attached Figure Description

[0016] Figure 1 This is a flowchart of a new energy vehicle status early warning push method according to an embodiment of the present invention; Figure 2 This is a structural block diagram of a new energy vehicle status early warning and push system according to an embodiment of the present invention.

[0017] The following detailed description, in conjunction with the accompanying drawings, will further illustrate the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0019] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0020] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0021] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0022] Example 1 Please see Figure 1 This is a flowchart of the new energy vehicle status warning push method in the first embodiment of the present invention. The method is adapted to new energy vehicles, including M1 category passenger vehicles (such as pure electric sedans) and N1 category commercial vehicles (such as pure electric light trucks), and can cover multiple scenarios such as urban commuting, long-distance driving, and fast charging. In this embodiment, M1 category passenger vehicles are used for further explanation. The method includes the following steps: Step S101: Acquire multidimensional data of the vehicle in real time, define multiple risk states based on the vehicle's application status and different parameters in the multidimensional data, and match each risk state with a risk weight. The multidimensional data includes battery SOC, cell temperature, motor speed, electronic control bus voltage, charging gun temperature, insulation resistance, tire pressure, low-voltage battery charge, driving speed, and energy recovery intensity. The vehicle's application status is either charging or discharging.

[0023] Specifically, the risk status further includes risks related to the three core electrical components (battery, motor, and electronic control system), charging risks, driving risks, and basic fault risks. The method also includes: The risk is defined as the three-electric risks when the vehicle is in a discharged state and there is at least one of the following: battery thermal runaway, motor power interruption, and electronic control failure. Among them, when the cell temperature is greater than 50℃ or less than -10℃, it is a battery thermal runaway; when the motor speed is too low, it is a motor power interruption; when the voltage of the electronic control bus is greater than 420V or less than 300V, it is an electronic control fault.

[0024] The driving risk is defined as follows: when the vehicle is in a discharged state and there is at least one of the following conditions: high-speed driving, energy recovery failure, and low ambient temperature. Among them, when the driving speed exceeds 110km / h, it is considered high-speed driving; when the energy recovery intensity is 0, it is considered energy recovery failure; when the ambient temperature is below -15℃, it is considered low ambient temperature.

[0025] The basic fault risk is defined as follows: when the vehicle is in a discharging or charging state and there is at least one of the following conditions: vehicle tire pressure error and low-voltage battery depletion. Specifically, a tire pressure error is indicated when the vehicle tire pressure is less than 1.8 bar or greater than 3.0 bar; a low-voltage battery charge is indicated when the low-voltage battery charge is less than 11.5V or greater than 14.0V.

[0026] The charging risk is defined as the situation where the vehicle is charging and there is at least one of the following: overheating of the charging gun, interruption of BMS communication, and charging overload.

[0027] When the charging gun temperature is greater than or equal to 45℃, it is considered overheating; when the battery SOC is greater than the battery's standard capacity, it is considered charging overload. Step S102: Compare the multidimensional data with the data judgment table. Based on the comparison results and the corresponding status of the vehicle, dynamically adjust each risk weight to obtain the latest risk weight. Calculate the current assessment score based on the latest risk weight. Match the current assessment score with the level determination rules. Perform corresponding push operations based on the matching results. The level determination rules include emergency level, important level, and general level. Different levels in the level determination rules correspond to different push operations.

[0028] Specifically, the cell temperature, electronic control bus voltage, charging gun temperature, insulation resistance, tire pressure, and low-voltage battery capacity in the multidimensional data are compared with the corresponding normal value ranges in the data judgment table. Specifically, when the cell temperature exceeds 25℃-45℃, the electronic control bus voltage exceeds 320V-400V, the charging gun temperature is less than 40℃, the insulation resistance is not less than 500Ω / V, the tire pressure exceeds 2.2bar-2.5bar, and the low-voltage battery capacity exceeds 12.0V-13.5V, a corresponding weight dynamic adjustment operation is triggered based on the comparison results.

[0029] Through the above steps, multi-dimensional vehicle data is acquired in real time. Multiple risk states are defined based on the vehicle's application status and different parameters of the multi-dimensional data. The multi-dimensional data is compared with a data judgment table. Based on the comparison results and the corresponding vehicle status, the risk weights corresponding to each risk state are dynamically adjusted to obtain the latest risk weights. The current assessment score is then calculated based on the latest risk weights and matched with the level determination rules. Based on the matching results, corresponding push operations can be performed. This enables real-time vehicle monitoring and risk assessment based on the monitored data to implement dynamic emergency strategies. When a vehicle anomaly occurs, early warning messages can be promptly pushed to the driver or relevant management personnel, providing a safer driving environment for the driver.

[0030] Furthermore, the step of matching the current evaluation score with the level determination rules, and the step of performing the corresponding push operation based on the matching result, includes: When the current assessment score is within the range of the emergency level, the lights flash and voice alarm are triggered, the battery cooling system or emergency deceleration operation is triggered, the nearest new energy vehicle rescue station is pushed and the vehicle manufacturer's remote monitoring is activated. The score range for the emergency level is no less than 85 points. When the current assessment score is no less than 85 points, the in-vehicle screen will flash red and a voice will be forced to broadcast; the battery cooling system will be automatically triggered or emergency deceleration will be performed (when the vehicle speed is >60km / h); the nearest new energy vehicle rescue station (including tow truck) and the car manufacturer's remote monitoring platform will be pushed; and the driver's family will be notified via SMS.

[0031] When the current evaluation score is within the range of the importance level, the light flashes and the charging APP pop-up reminder is triggered, prompting the user to move aside for inspection and linking the location to push nearby compliant charging stations and repair points; The score range for the importance level is 65-85 points. When the current evaluation score is between 65 and 85 points, the dashboard lights will flash and a charging APP pop-up window will appear; a text message reminder will be sent saying "charging interface overheating / insufficient tire pressure"; the location will be linked to push compliant charging stations and repair shops within 3 kilometers; and an automatic prompt to pull over for inspection will be given when driving at low speeds.

[0032] When the current evaluation score is within the range of the general level, a message reminder is sent to the vehicle's APP, the navigation automatically corrects the remaining range, and the local memory is polled and updated.

[0033] The general level score range is less than 65 points. When the current evaluation score is less than 65 points, the vehicle's APP will send a message; the navigation will automatically correct the remaining range; a pop-up window will periodically suggest "replenishing low voltage battery / charging in advance"; and local memory will be polled and updated (response delay ≤ 0.3s).

[0034] Tests show that it can accurately control pure electric vehicle risks: the accuracy of the three-electric warning is improved by 25%, and the battery thermal runaway protection is triggered 8-12 seconds in advance, reducing the risk of charging fires by up to 70% compared to traditional solutions; the emergency response efficiency is upgraded: when the high-speed motor fails, automatic deceleration and rescue push are initiated simultaneously, shortening the accident response speed by up to 40% and avoiding rear-end collisions caused by power interruption; the adaptability to all scenarios is enhanced: covering high-frequency pure electric vehicle scenarios such as fast charging, low temperature, and high speed, the range deviation warning improves the accuracy of the driver's charging decision by up to 40%, reducing breakdowns on the road; after-sales collaboration is optimized: fault data is synchronized with car manufacturers in real time, improving after-sales repair efficiency by up to 35%, and improving the handling rate of basic faults such as low-voltage batteries and tires by up to 60%.

[0035] Furthermore, the formula for calculating the current evaluation score is as follows:

[0036] Where R represents the evaluation score, , , and These represent the latest risk weights for the three-electric risks (battery, motor, and electronic control system), charging risks, driving risks, and basic fault risks, respectively. S, C, D, and E represent the three-electric risks, charging risks, driving risks, and basic fault risks, respectively.

[0037] Furthermore, the step of dynamically adjusting each risk weight based on the comparison results and the corresponding state of the vehicle includes: When the vehicle is in a discharged state and the driving speed is greater than the speed threshold, the risk weight corresponding to the driving risk is increased, and the risk weight corresponding to the three-electric risks is decreased. The speed threshold is 110 km / h. When the vehicle is in a discharged state and the driving speed is greater than the speed threshold, the risk weight of driving risk is increased from 0.2 to 0.3, and the risk weight of the three-electric risks is decreased to 0.3. When the vehicle is charging and the charging gun temperature is greater than the surface temperature threshold, the risk weight corresponding to the charging risk is increased, and the risk weight corresponding to the basic fault risk is decreased.

[0038] The surface temperature threshold is 60°C. When the vehicle is charging and the charging gun temperature is greater than the surface temperature threshold, the risk weight of the charging risk is increased from 0.25 to 0.35, and the risk weight of the basic fault risk is decreased to 0.1.

[0039] Furthermore, the method also includes: The sampling frequency is set to be greater than or equal to 10Hz, and the multi-dimensional data is synchronized to the cloud early warning platform via the vehicle-mounted T-BOX, BMS, and VCU.

[0040] Example 2 Please see Figure 2 The diagram below shows the structural block diagram of the new energy vehicle status early warning push system in the second embodiment of the present invention. The system includes: The acquisition and definition module is used to acquire multi-dimensional data of the vehicle in real time, define multiple risk states based on the vehicle's application status and different parameters in the multi-dimensional data, and match each risk state with a risk weight. The calculation and push module is used to compare the multidimensional data with the data judgment table, dynamically adjust each risk weight based on the comparison result and the corresponding status of the vehicle to obtain the latest risk weight, calculate the current assessment score based on the latest risk weight, match the current assessment score with the level determination rules, and perform corresponding push operations based on the matching result. The level determination rules include emergency level, important level and general level, and different levels in the level determination rules correspond to different push operations.

[0041] In practical implementation, multidimensional vehicle data is acquired in real time. Multiple risk states are defined based on the vehicle's application status and different parameters of the multidimensional data. The multidimensional data is compared with a data judgment table. Based on the comparison results and the corresponding vehicle status, the risk weights corresponding to each risk state are dynamically adjusted to obtain the latest risk weights. The current assessment score is then calculated based on the latest risk weights and matched with the level determination rules. Based on the matching results, corresponding push operations can be performed. This enables real-time vehicle monitoring and risk assessment based on the monitored data to implement dynamic emergency strategies. When a vehicle malfunctions, early warning messages can be promptly pushed to the driver or relevant management personnel, providing a safer driving environment for the driver.

[0042] Furthermore, the level determination rules include emergency level, important level, and general level, and the calculation and push module includes: The first push unit is used to trigger flashing lights and a voice alarm, trigger the battery cooling system or emergency deceleration operation, push to the nearest new energy vehicle rescue station and activate the vehicle manufacturer's remote monitoring when the current evaluation score is within the score range of the emergency level. The second push unit is used to trigger a light flashing and a charging APP pop-up reminder when the current evaluation score is within the score range of the importance level, reminding the user to move aside for inspection and linking the location to push nearby compliant charging stations and repair points; The third push unit is used to send a message reminder to the vehicle's APP when the current evaluation score is within the range of the general level score, automatically correct the navigation range, and poll and update the local memory.

[0043] Furthermore, the risk status includes risks related to the three core electrical components (battery, motor, and electronic control system), charging risks, driving risks, and basic fault risks. The system also includes: The first positioning module is used to define the three-electric risks as follows when the vehicle is in a discharging state and there is at least one of the following situations: battery thermal runaway, motor power interruption, and electronic control failure. The second positioning module is used to define the driving risk as follows when the vehicle is in a discharged state and there is at least one of the following conditions: high speed driving, energy recovery failure, and low ambient temperature. The third positioning module is used to define the basic fault risk as follows when the vehicle is in a discharging or charging state and there is at least one of the following situations: vehicle tire pressure error and low-voltage battery depletion. The fourth positioning module is used to define the charging risk as the situation where the vehicle is in a charging state and there is at least one of the following: overheating of the charging gun, interruption of BMS communication, and charging overload.

[0044] Furthermore, the formula for calculating the current evaluation score is as follows:

[0045] Where R represents the evaluation score, , , and These represent the latest risk weights for the three-electric risks (battery, motor, and electronic control system), charging risks, driving risks, and basic fault risks, respectively. S, C, D, and E represent the three-electric risks, charging risks, driving risks, and basic fault risks, respectively.

[0046] Furthermore, the calculation and push module includes: The first adjustment unit is used to increase the risk weight corresponding to the driving risk and decrease the risk weight corresponding to the three-electric risks when the vehicle is in a discharging state and the driving speed is greater than the speed threshold. The second adjustment unit is used to increase the risk weight corresponding to the charging risk and decrease the risk weight corresponding to the basic fault risk when the vehicle is in a charging state and the charging gun temperature is greater than the surface temperature threshold.

[0047] Furthermore, the system also includes: The synchronization module is used to set the sampling frequency to be greater than or equal to 10Hz, and to synchronize the multi-dimensional data to the cloud early warning platform through the vehicle-mounted T-BOX, BMS, and VCU.

[0048] Example 3 In the third embodiment of the present invention, based on the same inventive concept, the present invention proposes a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the new energy vehicle status warning push method of the above embodiment. The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means containing storage, communication, propagation, or transmission programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0049] The memory may include a large-capacity storage device for data or instructions. For example, and not limitingly, the memory may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), flash memory, an optical disk drive, a magneto-optical disk drive, magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory may include removable or non-removable (or fixed) media. Where appropriate, the memory may be internal or external to the data processing device. In a particular embodiment, the memory is non-volatile memory. In a particular embodiment, the memory includes read-only memory (ROM) and random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), an electrically alterable read-only memory (EAROM), or flash memory, or a combination of two or more of these. Where appropriate, the RAM can be Static Random-Access Memory (SRAM) or Dynamic Random-Access Memory (DRAM). DRAM can be Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), Extended Data Out Dynamic Random-Access Memory (EDODRAM), Synchronous Dynamic Random-Access Memory (SDRAM), etc.

[0050] Example 4 In the fourth embodiment of the present invention, based on the same inventive concept, the present invention proposes a terminal, the terminal comprising: a processor and a memory; the processor and the memory communicate with each other; the memory is used to store instructions; the processor is used to execute the instructions in the memory to execute the new energy vehicle status warning push method of the above embodiment.

[0051] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0052] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0053] Without causing conflict, those skilled in the art can freely combine and use the above-mentioned additional technical features.

[0054] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for sending early warnings about the status of new energy vehicles, characterized in that, The method includes: Real-time acquisition of multi-dimensional vehicle data; definition of multiple risk states based on the vehicle's application status and different parameters in the multi-dimensional data; each risk state is matched with a risk weight. The multidimensional data is compared with the data judgment table. Based on the comparison results and the corresponding status of the vehicle, the risk weights are dynamically adjusted to obtain the latest risk weights. The current assessment score is calculated based on the latest risk weights. The current assessment score is matched with the level determination rules. Based on the matching results, the corresponding push operation is performed. The level determination rules include emergency level, important level and general level. Different levels in the level determination rules correspond to different push operations.

2. The method for early warning and push notification of new energy vehicle status according to claim 1, characterized in that, The step of matching the current evaluation score with the level determination rules and performing corresponding push operations based on the matching results includes: When the current assessment score is within the range of the emergency level, the system will trigger flashing lights and a voice alarm, activate the battery cooling system or emergency deceleration, push the nearest new energy vehicle rescue station, and activate the vehicle manufacturer's remote monitoring. When the current evaluation score is within the range of the importance level, the light flashes and the charging APP pop-up reminder is triggered, prompting the user to move aside for inspection and linking the location to push compliant charging stations and repair points; When the current evaluation score is within the range of the general level, a message reminder is sent to the vehicle's APP, the navigation automatically corrects the remaining range, and the local memory is polled and updated.

3. The method for early warning and push notification of new energy vehicle status according to claim 1, characterized in that, The risk status includes risks related to the three core electrical components (battery, motor, and electronic control system), charging risks, driving risks, and basic fault risks. The method also includes: The risk is defined as the three-electric risks when the vehicle is in a discharged state and there is at least one of the following: battery thermal runaway, motor power interruption, and electronic control failure. The driving risk is defined as follows: when the vehicle is in a discharged state and there is at least one of the following conditions: high-speed driving, energy recovery failure, and low ambient temperature. The basic fault risk is defined as follows: when the vehicle is in a discharging or charging state and there is at least one of the following conditions: vehicle tire pressure error and low-voltage battery depletion. The charging risk is defined as the situation where the vehicle is charging and there is at least one of the following: overheating of the charging gun, interruption of BMS communication, and charging overload.

4. The method for early warning and push notification of new energy vehicle status according to claim 1, characterized in that, The formula for calculating the current evaluation score is as follows: Where R represents the evaluation score, , , and These represent the latest risk weights for the three-electric risks (battery, motor, and electronic control system), charging risks, driving risks, and basic fault risks, respectively. S, C, D, and E represent the three-electric risks, charging risks, driving risks, and basic fault risks, respectively.

5. The method for early warning and push notification of new energy vehicle status according to claim 3, characterized in that, The step of dynamically adjusting each of the risk weights based on the comparison results and the corresponding status of the vehicles includes: When the vehicle is in a discharged state and the driving speed is greater than the speed threshold, the risk weight corresponding to the driving risk is increased, and the risk weight corresponding to the three-electric risks is decreased. When the vehicle is charging and the charging gun temperature is greater than the surface temperature threshold, the risk weight corresponding to the charging risk is increased, and the risk weight corresponding to the basic fault risk is decreased.

6. The method for pushing early warning of new energy vehicle status according to claim 1, characterized in that, The method further includes: The sampling frequency is set to be greater than or equal to 10Hz, and the multi-dimensional data is synchronized to the cloud early warning platform via the vehicle-mounted T-BOX, BMS, and VCU.

7. A new energy vehicle status early warning push system, used to implement the new energy vehicle status early warning push method as described in any one of claims 1-6, characterized in that, The system includes: The acquisition and definition module is used to acquire multi-dimensional data of the vehicle in real time, define multiple risk states based on the vehicle's application status and different parameters in the multi-dimensional data, and match each risk state with a risk weight. The calculation and push module is used to compare the multidimensional data with the data judgment table, dynamically adjust each risk weight based on the comparison result and the corresponding status of the vehicle to obtain the latest risk weight, calculate the current assessment score based on the latest risk weight, match the current assessment score with the level determination rules, and perform corresponding push operations based on the matching result. The level determination rules include emergency level, important level and general level, and different levels in the level determination rules correspond to different push operations.

8. The new energy vehicle status early warning and push system according to claim 7, characterized in that, The level determination rules include emergency level, important level, and general level, and the calculation and push module includes: The first push unit is used to trigger flashing lights and a voice alarm, trigger the battery cooling system or emergency deceleration operation, push to the nearest new energy vehicle rescue station, and activate the vehicle manufacturer's remote monitoring when the current evaluation score is within the score range of the emergency level. The second push unit is used to trigger a light flashing and a charging APP pop-up reminder when the current evaluation score is within the score range of the importance level, reminding the user to move aside for inspection and linking the location to push compliant charging stations and repair points; The third push unit is used to send a message reminder to the vehicle's APP when the current evaluation score is within the range of the general level score, automatically correct the navigation range, and poll and update the local memory.

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