Vehicle safety monitoring method, monitoring system and device

Abstract

The present invention relates to the field of battery safety technology, and in particular to a vehicle safety monitoring method and monitoring system. The present invention aims to solve the problem that new energy vehicles cannot perform continuous safety monitoring of batteries when parked. To this end, the safety monitoring method of the present invention includes: when the vehicle is in a parked state, waking up the battery management controller at regular time intervals, and obtaining the battery status data through the battery management controller; based on the status data, judging whether the battery is in an abnormal state; when the battery is not in an abnormal state, controlling the battery management controller to enter a dormant state again; otherwise, when the battery is in an abnormal state, further waking up the wireless communication network, and uploading the status data and / or alarm signal to a remote monitoring platform through the wireless communication network. The present application can not only perform relatively continuous monitoring of the status of the power battery in the parked state, but also perform targeted remote data upload to save energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle monitoring, and in particular to a vehicle safety monitoring method and monitoring system. Background Art

[0002] With the rapid development of technologies such as vehicle electrification, vehicle networking, and mobile communications, real-time safety monitoring of power batteries in new energy vehicles has become particularly important. To meet the requirements of safe operation and regulatory oversight, it is necessary to remotely monitor vehicle data and upload this data to national or enterprise-level remote monitoring platforms. This data includes vehicle data, motor data, vehicle location data, power battery status data, and alarm data.

[0003] Among the aforementioned monitoring data, power battery status data and abnormality alarm data are the core monitoring content. Typically, when a vehicle is in operation, such as driving, temporarily parked, or charging, all electronic controllers operate at full power. The battery management system controller monitors the vehicle's operating data in real time and then uploads this data through a combination of the vehicle controller and wireless communication network. When a vehicle is not in operation, such as when parked for an extended period, the power battery is disconnected and all electronic controllers are dormant. During this time, the vehicle, and particularly the power battery, cannot be monitored. However, a certain number of power battery abnormalities occur when the vehicle is parked, which undoubtedly increases safety risks and reduces vehicle safety. Therefore, it is necessary to monitor the power battery status while the vehicle is parked. However, all electronic controllers in the vehicle, including the battery management system controller, the vehicle controller, and the wireless communication network, consume significant energy during operation, making it difficult to maintain continuous operation when the vehicle is parked for extended periods.

[0004] Therefore, it is necessary to propose a new vehicle safety monitoring method, monitoring system and device to solve the above technical problems. Summary of the Invention

[0005] In order to solve at least one of the above problems in the prior art, that is, to solve the problem that a new energy vehicle cannot continuously monitor the battery for safety when parked, the present invention provides a vehicle safety monitoring method, the safety monitoring method comprising:

[0006] When the vehicle is parked, the battery management controller is awakened at regular intervals and the battery status data is obtained through the battery management controller.

[0007] determining, based on the status data, whether the battery is in an abnormal state;

[0008] When the battery is not in the abnormal state, controlling the battery management controller to enter the dormant state again;

[0009] Otherwise, when the battery is in the abnormal state, the wireless communication network in the dormant state is further awakened, and the state data and / or alarm signal is uploaded to the remote monitoring platform through the wireless communication network.

[0010] In the preferred technical solution of the above vehicle safety monitoring method, the safety monitoring method further includes:

[0011] When the battery is not in an abnormal state, recording the cumulative monitoring times;

[0012] Determining whether the cumulative monitoring times reaches a preset number;

[0013] When the cumulative monitoring times reaches a preset number, the wireless communication network in a dormant state is awakened, and the previously accumulated status data is uploaded to the remote monitoring platform via the wireless communication network;

[0014] After the upload is completed, the wireless communication module is controlled to enter the sleep state again.

[0015] In the preferred technical solution of the above vehicle safety monitoring method, the safety monitoring method further includes:

[0016] When the cumulative monitoring times reaches the preset times, monitoring the entire vehicle and obtaining vehicle monitoring data;

[0017] The whole vehicle monitoring data and the accumulated status data are uploaded to the remote monitoring platform through the wireless communication network.

[0018] In the preferred technical solution of the above vehicle safety monitoring method, the safety monitoring method further includes:

[0019] After the upload is completed, the accumulated monitoring times are cleared.

[0020] In the preferred technical solution of the above vehicle safety monitoring method, the safety monitoring method further includes:

[0021] When the battery is in an abnormal state, the battery status data is continuously acquired and the acquired status data and / or the alarm signal is uploaded to the remote monitoring platform via the wireless communication network until the abnormal state is resolved.

[0022] In the preferred technical solution of the above vehicle safety monitoring method, the step of "awakening the wireless communication network in a dormant state" further includes:

[0023] Waking up a wireless communication module directly or indirectly connected to the battery management controller; and / or

[0024] Wake up the vehicle controller and the vehicle gateway connected to the vehicle controller; and / or

[0025] Wake up the vehicle controller, the vehicle gateway connected to the vehicle controller, and the telematics processor connected to the vehicle gateway.

[0026] In the preferred technical solution of the above vehicle safety monitoring method, the safety monitoring method further includes:

[0027] When the battery is not in the abnormal state, determining a current risk probability of the battery;

[0028] Based on the current risk probability, a time interval for the next wake-up is determined.

[0029] In a preferred technical solution of the above-mentioned vehicle safety monitoring method, the current risk probability is determined based on one or more of the battery status data, the battery diagnostic data, the battery thermal management mode and environmental data.

[0030] In the preferred technical solution of the above vehicle safety monitoring method, the current risk probability includes a high risk probability and a low risk probability, and the step of "determining the time interval for the next wake-up based on the current risk probability" further includes:

[0031] If the current risk probability is a high risk probability, determining the time interval for the next wake-up to be a first preset time interval;

[0032] Otherwise, if the current risk probability is a low risk probability, determining the time interval for the next wake-up to be a second preset time interval;

[0033] The first preset time interval is smaller than the second preset time interval.

[0034] In the preferred technical solution of the above-mentioned vehicle safety monitoring method, the status data includes at least one of the remaining power, battery cell temperature, battery cell voltage, temperature difference between battery cells, and insulation resistance value.

[0035] In the preferred technical solution of the above vehicle safety monitoring method, the step of “determining whether the battery is in an abnormal state based on the status data” further includes:

[0036] When at least one of the following judgment conditions is met, it is determined that the battery is in the abnormal state;

[0037] The judgment conditions include:

[0038] The battery cell temperature is greater than or equal to the maximum temperature threshold or an outlier occurs;

[0039] The voltage of the battery cell is greater than or equal to a maximum voltage threshold or an outlier occurs;

[0040] The temperature difference between the battery cells is greater than or equal to the maximum temperature difference threshold;

[0041] The insulation resistance value is less than a minimum resistance threshold;

[0042] Otherwise, it is determined that the battery is not in the abnormal state.

[0043] This proposal also provides a vehicle safety monitoring system, the safety monitoring system comprising:

[0044] a wake-up control module configured to wake up a battery management controller in a dormant state at regular time intervals when the vehicle is parked, control the battery management controller to enter a dormant state again when the battery is not in an abnormal state, and further wake up a wireless communication network in a dormant state when the battery is in the abnormal state;

[0045] a data acquisition module, configured to acquire battery status data through the battery management controller;

[0046] a battery status determination module configured to determine whether the battery is in the abnormal state based on the status data;

[0047] The sending control module is configured to upload the status data and / or alarm signal to a remote monitoring platform via the wireless communication network.

[0048] In the preferred technical solution of the above vehicle safety monitoring system, the safety monitoring system further includes:

[0049] a times recording module, configured to record the cumulative monitoring times when the battery is not in an abnormal state;

[0050] A times determination module, configured to determine whether the cumulative monitoring times reaches a preset number;

[0051] The wake-up control module is further configured to wake up the wireless communication network in a dormant state when the cumulative monitoring times reaches a preset number;

[0052] The sending control module is further configured to upload the previously accumulated status data to the remote monitoring platform via the wireless communication network;

[0053] The wake-up control module is further configured to control the wireless communication module to enter a dormant state again after the upload is completed.

[0054] In the preferred technical solution of the above vehicle safety monitoring system,

[0055] The data acquisition module is further configured to acquire vehicle monitoring data after the vehicle is monitored when the cumulative monitoring times reaches the preset times;

[0056] The sending control module is further configured to upload the vehicle monitoring data together with the accumulated status data to the remote monitoring platform through the wireless communication network.

[0057] In the preferred technical solution of the above vehicle safety monitoring system, the safety monitoring system further includes:

[0058] The times erasing module is configured to clear the accumulated monitoring times after the upload is completed.

[0059] In the preferred technical solution of the above vehicle safety monitoring system, the data acquisition module is further configured to continuously acquire status data of the battery when the battery is in an abnormal state;

[0060] The sending control module is further configured to upload the continuously acquired status data and / or the alarm signal to the remote monitoring platform via the wireless communication network until the abnormal state is resolved.

[0061] In the preferred technical solution of the above vehicle safety monitoring system, the wake-up control module wakes up the wireless communication network in a dormant state by:

[0062] Waking up a wireless communication module directly or indirectly connected to the battery management controller; and / or

[0063] Wake up the vehicle controller and the vehicle gateway connected to the vehicle controller; and / or

[0064] Wake up the vehicle controller, the vehicle gateway connected to the vehicle controller, and the telematics processor connected to the vehicle gateway.

[0065] In the preferred technical solution of the above vehicle safety monitoring system, the safety monitoring system further includes:

[0066] a risk determination module configured to determine a current risk probability of the battery when the battery is not in the abnormal state;

[0067] The time interval determination module is configured to determine a time interval for a next wake-up based on the current risk probability.

[0068] In the preferred technical solution of the above-mentioned vehicle safety monitoring system, the risk determination module determines the current risk probability of the battery based on one or more of the battery status data, the battery diagnostic data, the battery thermal management mode and environmental data.

[0069] In the preferred technical solution of the above vehicle safety monitoring system, the current risk probability includes a high risk probability and a low risk probability, and the time interval determination module determines the time interval for the next wake-up based on the current risk probability in the following manner:

[0070] If the current risk probability is a high risk probability, determining the time interval for the next wake-up to be a first preset time interval;

[0071] Otherwise, if the current risk probability is a low risk probability, determining the time interval for the next wake-up to be a second preset time interval;

[0072] The first preset time interval is smaller than the second preset time interval.

[0073] In the preferred technical solution of the above-mentioned vehicle safety monitoring system, the status data includes at least one of the remaining power, battery cell temperature, battery cell voltage, temperature difference between battery cells, and insulation resistance value.

[0074] In the preferred technical solution of the above vehicle safety monitoring system, the battery status determination module determines whether the battery is in the abnormal state based on the status data in the following manner:

[0075] When at least one of the following judgment conditions is met, it is determined that the battery is in the abnormal state;

[0076] The judgment conditions include:

[0077] The battery cell temperature is greater than or equal to the maximum temperature threshold or an outlier occurs;

[0078] The voltage of the battery cell is greater than or equal to a maximum voltage threshold or an outlier occurs;

[0079] The temperature difference between the battery cells is greater than or equal to the maximum temperature difference threshold;

[0080] The insulation resistance value is less than or equal to the minimum resistance threshold;

[0081] Otherwise, it is determined that the battery is not in the abnormal state.

[0082] The present application also provides a storage device storing a plurality of program codes, wherein the program codes are suitable for being loaded and run by a processor to execute the vehicle safety monitoring method according to any one of the above-mentioned preferred technical solutions.

[0083] The present application also provides a control device, including a processor and a storage device, wherein the storage device is suitable for storing multiple program codes, and the program codes are suitable for being loaded and run by the processor to execute the vehicle safety monitoring method described in any one of the above-mentioned preferred technical solutions.

[0084] Those skilled in the art will understand that in the preferred technical solution of the present invention, by waking up the dormant battery management controller at regular time intervals when the vehicle is parked to obtain battery status data, and judging whether the battery status is abnormal based on the status data, and controlling the battery management controller to sleep again when the battery is not in an abnormal state, and further waking up the wireless communication network when the battery is in an abnormal state and uploading abnormal status data and / or alarm signals to the remote monitoring platform, it is possible to achieve all-weather monitoring of the power battery status when the vehicle is parked and targeted remote data uploading, thereby improving the monitoring quality while significantly reducing monitoring energy consumption.

[0085] Specifically, by waking up the battery management controller only when battery status data needs to be acquired, and controlling the battery management controller to go back to sleep when the battery is not in an abnormal state, the battery management controller is kept in a dormant state for the vast majority of the time, waking up only briefly to acquire status data. This significantly reduces energy consumption during the monitoring process while enabling efficient acquisition of status data. By waking up the wireless communication network only when the battery is in an abnormal state to upload data and / or generate an alarm, the wireless communication network is kept in a dormant state for the vast majority of the time, significantly reducing energy consumption during the monitoring process while enabling timely data upload.

[0086] Furthermore, by recording the cumulative monitoring times when the battery is not in an abnormal state, and waking up the wireless communication network to upload the accumulated status data to the remote monitoring platform when the cumulative monitoring times reach a preset number, this safety monitoring method can upload data in a targeted manner, avoiding the increase in energy consumption caused by uploading data during each monitoring process, and can also reduce the vehicle's storage pressure on status data.

[0087] Furthermore, by monitoring the entire vehicle and obtaining the entire vehicle monitoring data when the cumulative monitoring times reach a preset number, and uploading the entire vehicle monitoring data together with the accumulated status data to the remote monitoring platform through the wireless communication network, the safety monitoring method of the present application can be based on battery monitoring, and cleverly combine the battery safety requirements with the entire vehicle monitoring requirements. On the basis of maintaining battery-based monitoring, it can reasonably wake up the entire vehicle and monitor the entire vehicle status and upload the entire vehicle monitoring data, further improving the monitoring quality while minimizing the monitoring power consumption.

[0088] Furthermore, when the battery is in an abnormal state, by continuously acquiring status data and continuously uploading the data and / or alarm signals to the remote monitoring platform, the safety monitoring method of the present application can also continuously record data when the battery is in an abnormal state, providing an effective basis for fault analysis and maintenance and upgrades of the battery system.

[0089] Furthermore, by determining the current risk probability of the battery when the battery is not in an abnormal state and determining the time interval for the next wake-up based on the current risk probability, the present application can change the time interval in a targeted manner based on the risk probability of the battery when performing battery safety monitoring, monitor the battery as little as possible when the battery safety risk is low, and monitor the battery as much as possible when the battery safety risk is high, thereby improving the quality of data acquisition while effectively controlling energy consumption.

[0090] Solution 1: A vehicle safety monitoring method, characterized in that the safety monitoring method includes:

[0091] When the vehicle is parked, the battery management controller is awakened at regular intervals and the battery status data is obtained through the battery management controller.

[0092] determining, based on the status data, whether the battery is in an abnormal state;

[0093] When the battery is not in the abnormal state, controlling the battery management controller to enter the dormant state again;

[0094] Otherwise, when the battery is in the abnormal state, the wireless communication network in the dormant state is further awakened, and the state data and / or alarm signal is uploaded to the remote monitoring platform through the wireless communication network.

[0095] Solution 2: The vehicle safety monitoring method according to Solution 1, characterized in that the safety monitoring method further comprises:

[0096] When the battery is not in an abnormal state, recording the cumulative monitoring times;

[0097] Determining whether the cumulative monitoring times reaches a preset number;

[0098] When the cumulative monitoring times reaches a preset number, the wireless communication network in a dormant state is awakened, and the previously accumulated status data is uploaded to the remote monitoring platform via the wireless communication network;

[0099] After the upload is completed, the wireless communication module is controlled to enter the sleep state again.

[0100] Solution 3: The vehicle safety monitoring method according to Solution 2, characterized in that the safety monitoring method further comprises:

[0101] When the cumulative monitoring times reaches the preset times, monitoring the entire vehicle and obtaining vehicle monitoring data;

[0102] The whole vehicle monitoring data and the accumulated status data are uploaded to the remote monitoring platform through the wireless communication network.

[0103] Solution 4: The vehicle safety monitoring method according to Solution 2, characterized in that the safety monitoring method further comprises:

[0104] After the upload is completed, the accumulated monitoring times are cleared.

[0105] Solution 5: The vehicle safety monitoring method according to Solution 1, characterized in that the safety monitoring method further comprises:

[0106] When the battery is in an abnormal state, the battery status data is continuously acquired and the acquired status data and / or the alarm signal is uploaded to the remote monitoring platform via the wireless communication network until the abnormal state is resolved.

[0107] Solution 6: The vehicle safety monitoring method according to Solution 1 is characterized in that the step of "awakening the wireless communication network in a dormant state" further includes:

[0108] Waking up a wireless communication module directly or indirectly connected to the battery management controller; and / or

[0109] Wake up the vehicle controller and the vehicle gateway connected to the vehicle controller; and / or

[0110] Wake up the vehicle controller, the vehicle gateway connected to the vehicle controller, and the telematics processor connected to the vehicle gateway.

[0111] Solution 7: The vehicle safety monitoring method according to Solution 1, characterized in that the safety monitoring method further comprises:

[0112] When the battery is not in the abnormal state, a current risk probability of the battery is determined; and based on the current risk probability, a time interval for a next wake-up is determined.

[0113] Option 8. A vehicle safety monitoring method according to Option 7, characterized in that the current risk probability is determined based on one or more of the battery status data, the battery diagnostic data, the battery thermal management mode and environmental data.

[0114] Solution 9: The vehicle safety monitoring method according to Solution 7, characterized in that the current risk probability includes a high risk probability and a low risk probability, and the step of "determining the time interval for the next wake-up based on the current risk probability" further includes:

[0115] If the current risk probability is a high risk probability, determining the time interval for the next wake-up to be a first preset time interval;

[0116] Otherwise, if the current risk probability is a low risk probability, determining the time interval for the next wake-up to be a second preset time interval;

[0117] The first preset time interval is smaller than the second preset time interval.

[0118] Solution 10: The vehicle safety monitoring method according to Solution 1 is characterized in that the status data includes at least one of the remaining power, battery cell temperature, battery cell voltage, temperature difference between battery cells, and insulation resistance value.

[0119] Solution 11: The vehicle safety monitoring method according to Solution 10, wherein the step of “determining whether the battery is in an abnormal state based on the status data” further comprises:

[0120] When at least one of the following judgment conditions is met, it is determined that the battery is in the abnormal state;

[0121] The judgment conditions include:

[0122] The battery cell temperature is greater than or equal to the maximum temperature threshold or an outlier occurs;

[0123] The voltage of the battery cell is greater than or equal to a maximum voltage threshold or an outlier occurs;

[0124] The temperature difference between the battery cells is greater than or equal to the maximum temperature difference threshold;

[0125] The insulation resistance value is less than a minimum resistance threshold;

[0126] Otherwise, it is determined that the battery is not in the abnormal state.

[0127] Solution 12: A vehicle safety monitoring system, characterized in that the safety monitoring system comprises:

[0128] a wake-up control module configured to wake up a battery management controller in a dormant state at regular time intervals when the vehicle is parked, control the battery management controller to enter a dormant state again when the battery is not in an abnormal state, and further wake up a wireless communication network in a dormant state when the battery is in the abnormal state;

[0129] a data acquisition module, configured to acquire battery status data through the battery management controller;

[0130] a battery status determination module configured to determine whether the battery is in the abnormal state based on the status data;

[0131] The sending control module is configured to upload the status data and / or alarm signal to a remote monitoring platform via the wireless communication network.

[0132] Solution 13: The vehicle safety monitoring system according to Solution 12, characterized in that the safety monitoring system further comprises:

[0133] a times recording module, configured to record the cumulative monitoring times when the battery is not in an abnormal state;

[0134] A times determination module, configured to determine whether the cumulative monitoring times reaches a preset number;

[0135] The wake-up control module is further configured to wake up the wireless communication network in a dormant state when the cumulative monitoring times reaches a preset number;

[0136] The sending control module is further configured to upload the previously accumulated status data to the remote monitoring platform via the wireless communication network;

[0137] The wake-up control module is further configured to control the wireless communication module to enter a dormant state again after the upload is completed.

[0138] Solution 14: The vehicle safety monitoring system according to Solution 13 is characterized in that:

[0139] The data acquisition module is further configured to acquire vehicle monitoring data after the vehicle is monitored when the cumulative monitoring times reaches the preset times;

[0140] The sending control module is further configured to upload the vehicle monitoring data together with the accumulated status data to the remote monitoring platform through the wireless communication network.

[0141] Solution 15: The vehicle safety monitoring system according to Solution 13, characterized in that the safety monitoring system further comprises:

[0142] The times erasing module is configured to clear the accumulated monitoring times after the upload is completed.

[0143] Solution 16: The vehicle safety monitoring system according to Solution 12 is characterized in that:

[0144] The data acquisition module is further configured to continuously acquire status data of the battery when the battery is in an abnormal state;

[0145] The sending control module is further configured to upload the continuously acquired status data and / or the alarm signal to the remote monitoring platform via the wireless communication network until the abnormal state is resolved.

[0146] Solution 17: The vehicle safety monitoring system according to Solution 12, characterized in that the wake-up control module wakes up the wireless communication network in a dormant state by:

[0147] Waking up a wireless communication module directly or indirectly connected to the battery management controller; and / or

[0148] Wake up the vehicle controller and the vehicle gateway connected to the vehicle controller; and / or

[0149] Wake up the vehicle controller, the vehicle gateway connected to the vehicle controller, and the telematics processor connected to the vehicle gateway.

[0150] Solution 18: The vehicle safety monitoring system according to Solution 12, characterized in that the safety monitoring system further comprises:

[0151] a risk determination module configured to determine a current risk probability of the battery when the battery is not in the abnormal state;

[0152] The time interval determination module is configured to determine a time interval for a next wake-up based on the current risk probability.

[0153] Option 19. A vehicle safety monitoring system according to Option 18, characterized in that the risk determination module determines the current risk probability of the battery based on one or more of the battery status data, the battery diagnostic data, the battery thermal management mode and environmental data.

[0154] Solution 20: The vehicle safety monitoring system according to Solution 18, wherein the current risk probability includes a high risk probability and a low risk probability, and the time interval determination module determines the time interval for the next wake-up based on the current risk probability in the following manner:

[0155] If the current risk probability is a high risk probability, determining the time interval for the next wake-up to be a first preset time interval;

[0156] Otherwise, if the current risk probability is a low risk probability, determining the time interval for the next wake-up to be a second preset time interval;

[0157] The first preset time interval is smaller than the second preset time interval.

[0158] Solution 21. A vehicle safety monitoring system according to Solution 12, characterized in that the status data includes at least one of remaining power, battery cell temperature, battery cell voltage, temperature difference between battery cells, and insulation resistance value.

[0159] Solution 22: The vehicle safety monitoring system according to Solution 21 is characterized in that:

[0160] The battery status determination module determines whether the battery is in the abnormal state based on the status data in the following manner:

[0161] When at least one of the following judgment conditions is met, it is determined that the battery is in the abnormal state;

[0162] The judgment conditions include:

[0163] The battery cell temperature is greater than or equal to the maximum temperature threshold or an outlier occurs;

[0164] The voltage of the battery cell is greater than or equal to a maximum voltage threshold or an outlier occurs;

[0165] The temperature difference between the battery cells is greater than or equal to the maximum temperature difference threshold;

[0166] The insulation resistance value is less than or equal to the minimum resistance threshold;

[0167] Otherwise, it is determined that the battery is not in the abnormal state.

[0168] Solution 23. A storage device storing a plurality of program codes, wherein the program codes are suitable for being loaded and run by a processor to execute the vehicle safety monitoring method according to any one of Solutions 1 to 11.

[0169] Option 24. A control device comprising a processor and a storage device, wherein the storage device is suitable for storing multiple program codes, and is characterized in that the program codes are suitable for being loaded and run by the processor to execute the vehicle safety monitoring method described in any one of Options 1 to 11. BRIEF DESCRIPTION OF THE DRAWINGS

[0170] The following describes the vehicle safety monitoring method, monitoring system and device of the present invention with reference to the accompanying drawings and in combination with a pure electric vehicle.

[0171] Figure 1 This is a main flow chart of the safety monitoring method for electric vehicles of the present invention;

[0172] Figure 2 A flow chart of a possible implementation of the safety monitoring method for an electric vehicle of the present invention;

[0173] Figure 3 A time-energy consumption diagram of a specific embodiment of the safety monitoring method for an electric vehicle of the present invention;

[0174] Figure 4 The figure is a logic diagram of a specific implementation of the safety monitoring method for electric vehicles of the present invention. DETAILED DESCRIPTION

[0175] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention. For example, although this embodiment is introduced in conjunction with a pure electric vehicle, this is not intended to limit the scope of protection of the present invention. Without departing from the principles of the present invention, those skilled in the art may apply the present invention to other application scenarios, especially reference scenarios of new energy vehicles. For example, the present application may also be applied to vehicles with batteries, such as hybrid electric vehicles and extended-range electric vehicles.

[0176] In the description of the present invention, "module" and "processor" may include hardware, software, or a combination of both. A module may include hardware circuitry, various suitable sensors, communication ports, and memory. It may also include software components, such as program code, or a combination of software and hardware. A processor may be a central processing unit (CPU), a microprocessor, an image processor, a digital signal processor, or any other suitable processor. A processor has data and / or signal processing capabilities. A processor may be implemented in software, hardware, or a combination of both. Non-transitory computer-readable storage media include any suitable medium capable of storing program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random access memory, and the like. The term "A and / or B" refers to all possible combinations of A and B, such as only A, only B, or both A and B. The terms "at least one of A or B" or "at least one of A and B" have similar meanings to "A and / or B" and may include only A, only B, or both A and B. The terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0177] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "connected" and "connection" should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integral connection; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0178] As described in the background technology, when a pure electric vehicle is in motion, temporarily parked, or charging, the vehicle's electronic controller is typically operating at full power, enabling real-time monitoring of the entire vehicle and uploading monitoring data to a remote monitoring platform via a wireless communication network. However, when a pure electric vehicle is parked, the power battery relay is typically disconnected, and the vehicle's electronic controller is in a dormant state, making it impossible to monitor the vehicle, and in particular the power battery, in real time. Even when parked, the power battery still carries the risk of abnormalities, making it necessary to monitor the power battery even when parked. However, due to factors such as energy consumption, it is difficult for either the battery management system controller, the vehicle controller, or the onboard gateway to maintain continuous operation when a pure electric vehicle is parked for an extended period.

[0179] Based on this, the present application provides a safety monitoring method for pure electric vehicles. The safety monitoring method wakes up the battery management controller at regular time intervals when the pure electric vehicle is in a parked state, obtains the status data of the power battery through the battery management controller, and judges whether the status of the power battery is abnormal based on the status data; when the power battery is not in an abnormal state, the battery management controller is controlled to sleep again, and when the power battery is in an abnormal state, the wireless communication network is further woken up and the abnormal status data and / or alarm signal are uploaded through the wireless communication network, thereby achieving relatively continuous monitoring of the status of the power battery in a parked state and targeted remote data upload, thereby improving the monitoring quality while greatly reducing the monitoring energy consumption.

[0180] Please refer to the attached Figure 1 , describes the safety monitoring method of the pure electric vehicle of this application. Figure 1 This is the main flow chart of the safety monitoring method for electric vehicles of the present invention.

[0181] like Figure 1 As shown, the safety monitoring method of a pure electric vehicle (hereinafter referred to as electric vehicle or vehicle) of the present application (hereinafter referred to as safety monitoring method or method) includes:

[0182] S101. When the electric vehicle is in a parked state, the battery management controller in a dormant state is awakened at regular time intervals, and the status data of the power battery is obtained through the battery management controller; for example, when the electric vehicle is in a parked state, the battery management controller in a dormant state is awakened every 20 minutes, and the data such as the cell temperature, remaining power, temperature difference between cells, insulation resistance value, etc. of the power battery are obtained through the battery management controller.

[0183] The parking state in this application refers to the state when the vehicle's power battery is disconnected (e.g., the relay connected to the power battery is disconnected) and the entire vehicle's electronic controller is in a dormant state. The battery management controller in this application may be a controller that runs the battery management system (BMS software). The battery management system is responsible for monitoring the status data of each battery cell, such as detecting the temperature, current, and voltage of each battery cell through corresponding sensors, and estimating the remaining capacity (SOC) of the power battery based on these parameters, calculating the temperature difference between battery cells, the insulation resistance value, etc. The above detection and estimation methods are common knowledge in the art and will not be elaborated here.

[0184] Of course, in the traditional electrical and electronic architecture, the controller where the battery management system is located is an electronic controller (ECU) in the power battery that is specifically responsible for battery management. However, in the gradually developing centralized domain controller, the battery management system can also be integrated into a certain domain controller (such as integrated into the power domain controller or chassis domain controller, etc.), or even the electronic controllers of the entire vehicle can be placed in a total central control unit, and the vehicle-mounted CAN network or vehicle-mounted Ethernet is used to realize communication between the battery management system and other controllers. The specific setting method of the battery management system is not limited in this application.

[0185] Among them, the method of waking up the battery management controller in a dormant state can be, for example: using an RTC clock chip (Real Time Clock) for the battery management controller, such as setting a clock chip in the power domain controller where the battery management controller is located, and setting it to send a wake-up request to the battery management controller every 20 minutes, thereby starting the battery management controller of the power battery.

[0186] S103. Determine whether the power battery is in an abnormal state based on the status data. For example, after obtaining the status data of the power battery, determine whether the power battery is in an abnormal state based on a comparison result of each status data with a preset safety threshold interval or a statistical conclusion.

[0187] In this application, an abnormal state refers to the situation where the actual value of one or more of the various status data of a power battery is outside the preset safety threshold range, or where significant data outliers are observed based on statistical conclusions. For example, the normal operating temperature range of a power battery may be -20°C to 50°C. If the actual temperature of one or more cells in the power battery is less than -20°C or greater than 50°C, the power battery is considered to be in an abnormal state. For another example, if the detected cell temperatures are mostly at 30°C, but a few cells are at 45°C, and there is a significant data outlier in that cell, the power battery is considered to be in an abnormal state. Similarly, safety threshold ranges for status data such as the remaining capacity of the power battery, the voltage of the cells, the temperature difference between the cells, and the insulation resistance value can be experimentally measured and pre-set. The power battery can then be judged as being in an abnormal state based on the safety threshold ranges for the remaining capacity, the temperature difference between the cells, and the insulation resistance value. Of course, the above specific values are for example only. Those skilled in the art can determine the specific safety value ranges for each status data based on actual conditions, and this application does not impose any restrictions on this.

[0188] S105. When the power battery is not in an abnormal state, the battery management controller is controlled to enter the sleep state again; for example, when the actual values of various status data of the power battery are within the preset safety threshold range, it is considered that the power battery is not currently in an abnormal state. In other words, the current safety risk of the power battery is relatively small, so the battery management controller can be controlled to enter the sleep state again and wait for the next wake-up and detection.

[0189] S107. Otherwise, when the power battery is in an abnormal state, the wireless communication network in a dormant state is further awakened, and the status data and / or alarm signal is uploaded to the remote monitoring platform through the wireless communication network. For example, when the actual value of any status data of the power battery is not within the preset safety threshold range, it is considered that the power battery is currently in an abnormal state. In other words, the current safety risk of the power battery is high, so it is necessary to upload monitoring data to the remote communication platform in a timely manner and issue an alarm. At this time, the wireless communication network can be further awakened, such as awakening the wireless communication module directly connected to the battery management controller (including but not limited to: 4G / 5G communication module, WIFI communication module, Bluetooth communication module or NFC communication module) and uploading the monitored status data and / or alarm signal to the remote communication platform through the wireless communication module, or awakening the wireless communication module of the domain controller where the battery management controller is located and uploading the monitored status data and / or alarm signal to the remote communication platform through the wireless communication module. Alternatively, if the battery management controller is not integrated into the domain controller, or the domain controller where the battery management controller is located is not equipped with a wireless communication module, the vehicle controller (VCU) of the electric vehicle and the vehicle gateway integrated with the wireless communication module can be further awakened, and the status data and / or alarm signal of the power battery can be uploaded to the remote monitoring platform through the vehicle controller and the vehicle gateway. Still alternatively, if the vehicle gateway configured by the vehicle controller does not have a wireless communication function, the telematics box (T-BOX for short) can be further awakened on the basis of waking up the vehicle controller and the vehicle gateway, and the status data and / or alarm signal of the power battery can be uploaded to the remote monitoring platform through the vehicle controller, the vehicle gateway and the vehicle T-BOX. Of course, if possible, the above wireless communication module, the vehicle gateway (with integrated wireless communication module) and the vehicle T-BOX can also be awakened at the same time, and the status data and / or alarm signal can be uploaded to the remote monitoring platform through the wireless communication module, the vehicle gateway and the vehicle T-BOX.

[0190] Those skilled in the art will understand that, whether through the method introduced above or any other feasible method, as long as the power battery status data and / or alarm signal obtained by the battery management controller can be effectively uploaded to the remote monitoring platform in a timely and effective manner when the power battery is in an abnormal state, it will be sufficient.

[0191] From the above description, it can be seen that by waking up the battery management controller in a dormant state at regular time intervals when the electric vehicle is in a parked state to obtain the status data of the power battery, and judging whether the status of the power battery is abnormal based on the status data; when the power battery is not in an abnormal state, the battery management controller is controlled to sleep again, and when the power battery is in an abnormal state, the wireless communication network is further awakened and the abnormal status data and / or alarm signal is uploaded to the remote monitoring platform. The safety monitoring method of the present application realizes both relatively continuous monitoring of the status of the power battery in the parked state and targeted remote data uploading, thereby improving the monitoring quality while reducing monitoring energy consumption.

[0192] Refer to the following Figure 2 , the security monitoring method of this application is described in detail. Figure 2 The flowchart is a possible implementation of the safety monitoring method for electric vehicles of the present invention.

[0193] Reference Figure 2 In one possible implementation, the safety monitoring method for an electric vehicle includes:

[0194] S201. When the electric vehicle is in a parked state, the battery management controller is awakened at regular intervals and the status data of the power battery is obtained through the battery management controller. In this embodiment, the battery management controller is a controller that runs the battery management system (BMS). The status data of the power battery includes the cell temperature, remaining power, temperature difference between cells, insulation resistance value, etc. The awakening process of the battery management system and the process of obtaining the status data of the power battery can refer to the description in the aforementioned control method. During the period when the battery management system monitors the power battery, only the internal sampling and communication lines of the battery management system, such as daisy chain or CAN network, are working in the entire vehicle, and the other electronic controllers are still in a dormant state. Of course, if the battery management system is integrated in the domain controller, then the relevant communication lines in the domain controller are also required to work during the detection process. In this embodiment, the time interval can be adjusted based on the current state of the power battery, which will be described in detail in the following embodiment.

[0195] S203. Based on the status data, determine whether the power battery is in an abnormal state; if the power battery is not in an abnormal state, execute step S205; otherwise, if the power battery is in an abnormal state, execute step S215.

[0196] In this embodiment, whether the power battery is in an abnormal state can be determined by judging whether at least one of the following conditions is met:

[0197] Condition 1: The battery cell temperature is greater than or equal to the maximum temperature threshold or an outlier occurs. The maximum temperature threshold can be a fixed value, such as 50°C. Of course, it can also be determined based on the current environmental parameters, such as based on a comparison table between the current ambient temperature and the maximum temperature threshold, or based on a corresponding formula between the current ambient temperature and the maximum temperature threshold. The outlier value of the battery cell temperature can be obtained based on statistical conclusions. Of course, the specific value of the maximum temperature threshold is not limited to the above specific examples. Those skilled in the art can make adjustments based on specific circumstances, and such adjustments do not deviate from the principles of this application. When the temperature of a certain battery cell or several battery cells in the power battery is greater than or equal to the maximum temperature threshold or an outlier occurs, it proves that the temperature of some battery cells in the power battery is too high or abnormal at this time, and there is a higher safety risk. Otherwise, the safety risk is lower.

[0198] Condition 2: The cell voltage is greater than or equal to the maximum voltage threshold or an outlier is present. Similar to the above, the maximum voltage threshold can be a fixed value or determined based on a comparison table or corresponding public information. Cell voltage outliers can be determined based on statistical conclusions. When the voltage of a cell in a power battery is greater than or equal to the maximum voltage threshold or an outlier is present, it indicates that the voltage of some cells in the power battery is excessively high or abnormal, posing a high safety risk. Otherwise, the safety risk is low.

[0199] Condition three: The temperature difference between the battery cells is greater than or equal to the maximum temperature difference threshold. Similar to the above, the maximum temperature difference threshold can be a fixed value, such as 6°C, or it can be determined based on a comparison table or a corresponding formula. The specific value of the maximum temperature difference threshold is not limited to the above specific examples. Those skilled in the art can adjust it based on the specific situation. Such adjustment does not deviate from the principle of this application. When the temperature difference between two battery cells in a power battery is greater than or equal to the maximum temperature difference threshold, it proves that the temperature fluctuation in the power battery is large and the safety risk is high. Otherwise, the safety risk is low.

[0200] Condition 4: The insulation resistance value is less than the minimum resistance threshold. The minimum resistance threshold can be determined based on experiments, technical specifications, or empirical values in the field. For example, the insulation resistance value can be 0.5 MΩ. When the insulation resistance value of the power battery is less than 0.5 MΩ, it indicates that the insulation performance of the power battery has deteriorated and the safety risk is high. Otherwise, the safety risk is low. Of course, the specific value of the minimum resistance threshold is not limited to the above specific examples. Those skilled in the art may adjust it based on the specific situation, and such adjustment does not deviate from the principles of this application.

[0201] Condition 5: Battery cell monitoring warning alarms. Battery cell monitoring warning alarms include internal short circuit alarms, battery self-discharge alarms, and battery lithium deposition alarms. The detection and alarm methods for these warnings are common in the field and will not be detailed here. When a battery cell monitoring warning alarm occurs, it indicates a battery cell anomaly and a high safety risk. Otherwise, the safety risk is low.

[0202] When none of the above conditions are met, it is considered that the current safety risk of the power battery is low, that is, it is not in an abnormal state, and step S205 is executed at this time; otherwise, when at least one of the above conditions is met, it is considered that the current safety risk of the power battery is high, that is, it is in an abnormal state, and step S215 is executed at this time.

[0203] S205. Record the cumulative number of monitoring times. In the present application, the cumulative number of times the battery management system is awakened to monitor the power battery can be recorded, for example, in a non-transitory computer-readable storage medium.

[0204] S207. Determine whether the cumulative monitoring times have reached the preset times; if the cumulative monitoring times have reached the preset times, execute step S209; otherwise, if the cumulative monitoring times have not reached the preset times, execute step S211. In this step, the preset times can be 5, 6 or 7 times, etc., and the preset times can be obtained based on the test method. The purpose of setting is to balance the timeliness of uploading the status data of the power battery and the energy consumption of the monitoring process. When the cumulative monitoring times reaches the preset times, it proves that the status data obtained by the battery management system has accumulated to a certain amount and needs to be uploaded in a centralized manner. At this time, execute step S209. On the contrary, when the cumulative monitoring times have not reached the preset times, it proves that the status data obtained by the battery management system is less and can still be obtained. At this time, execute step S211.

[0205] S209: When the cumulative monitoring count reaches a preset number, the dormant wireless communication network is awakened to monitor the entire electric vehicle, obtain vehicle monitoring data, and upload the vehicle monitoring data, along with previously accumulated power battery status data, to the remote monitoring platform via the wireless communication network. The cumulative monitoring count is then reset to zero. In this step, if the cumulative monitoring count reaches the preset number, it is considered that the battery management system has accumulated a certain amount of status data, or that detailed monitoring of the power battery and vehicle-wide controllers is required, and data upload is required. To ensure the timeliness of data monitoring, a periodic centralized upload is required. At this point, all relevant controllers of the vehicle are further awakened to monitor the entire vehicle and obtain vehicle monitoring data. The wireless communication network is then awakened, such as the vehicle controller and the onboard gateway. The vehicle monitoring data and accumulated power battery status data are uploaded to the remote monitoring platform via the vehicle controller and the onboard gateway. Alternatively, the data is uploaded to the remote monitoring platform via the onboard gateway and the onboard T-BOX as previously described. After the upload is complete, all controllers are controlled to enter a dormant state, the cumulative monitoring count is reset to zero, and the count is restarted. In this application, the vehicle monitoring data includes but is not limited to vehicle data, motor data, vehicle location data, alarm data, etc. The above data acquisition method and uploading method are relatively commonly used in this field, so they will not be repeated here.

[0206] By recording the cumulative number of monitoring times when the power battery is not in an abnormal state, and waking up the wireless communication network to start uploading data to the remote monitoring platform when the cumulative number of monitoring times reaches a preset number, this safety monitoring method can upload data in a targeted manner, avoiding the increase in energy consumption caused by uploading data during each monitoring process, and can also reduce the vehicle's storage pressure on status data, ensuring the timeliness of data upload. Furthermore, by monitoring the entire electric vehicle and obtaining the entire vehicle monitoring data when the cumulative number of monitoring times reaches a preset number, and uploading the entire vehicle monitoring data together with the accumulated power battery status data to the remote monitoring platform through the wireless communication network, the safety monitoring method of this application can be based on battery monitoring, cleverly combining battery safety requirements with entire vehicle monitoring requirements, and on the basis of maintaining battery-based monitoring, reasonably waking up the entire vehicle and monitoring the entire vehicle status and uploading the entire vehicle monitoring data, further improving the monitoring quality while minimizing monitoring power consumption.

[0207] S211. Determine the time interval for the next wake-up based on the current risk probability. Specifically, when the power battery is not in an abnormal state, first determine the current risk probability of the power battery; then, based on the current risk probability, determine the time interval for the next wake-up. In this application, the current risk probability is intended to characterize the possibility of the power battery having a safety risk or an abnormal state at the current and future times. When the current risk probability is high, the power battery is more likely to have an abnormality in the future, so the time interval for the next wake-up can be appropriately shortened. Conversely, if the current risk probability is low, the possibility of the power battery having an abnormality in the future is also low, so the current time interval can be kept unchanged or the time interval for the next wake-up can be appropriately increased.

[0208] For example, the current risk probability can be determined based on one or more of the power battery's status data, power battery diagnostic data, power battery thermal management mode, and environmental data. The power battery's status data may include the remaining power of the power battery, cell temperature, and number of charge and discharge cycles. The power battery's diagnostic data may include whether the power battery's current, voltage, temperature difference between cells, and insulation resistance are normal, and whether there are component faults (such as sensor failure or actuator failure). Both of these data can be obtained based on the battery management system. The acquisition method is relatively conventional and will not be described in detail here. The power battery's thermal management mode typically includes a standard mode and an energy-saving mode. This thermal management mode is used to control the timing of thermal management of the power battery, such as when the power battery is cooled or heated. The thermal management mode includes, but is not limited to, air cooling and water cooling. The thermal management mode can be read directly from the relevant controller or memory, and this is not limited in this embodiment. Environmental data includes ambient temperature, ambient humidity, and other data, which can be obtained based on corresponding sensors. The above data can be obtained at the same time as the battery management system wakes up and obtains the power battery's status data, or it can be obtained only when this step is performed.

[0209] The applicant's research has found that, based on the physical characteristics of power batteries, the probability of safety risks is higher when the remaining charge is too high or too low, the battery cell temperature is high, or the number of cycles is high, while the probability of safety risks is lower when the remaining charge is too high or too low. Similarly, the probability of safety risks is higher when the power battery has abnormal current or voltage, reduced insulation resistance, or sensor or actuator failure. The probability of safety risks is also higher when the ambient temperature and humidity are high. Therefore, the current risk probability of the power battery can be determined by determining whether the actual values of the above parameters are within the preset high-risk threshold range.

[0210] A possible process for determining the current risk probability is described below.

[0211] In one possible implementation, the current risk probability includes at least a high risk probability and a low risk probability. If the current risk probability is a high risk probability, the time interval for the next wake-up is determined to be a first preset time interval; otherwise, if the current risk probability is a low risk probability, the time interval for the next wake-up is determined to be a second preset time interval; wherein the first preset time interval is less than the second preset time interval.

[0212] Taking the remaining power of a power battery, the cell temperature, and the temperature difference between cells as examples, if any of the three judgment conditions is met: the remaining power is greater than 90%, the cell temperature is greater than 40°C, or the temperature difference between cells is greater than 6°C, the power battery safety risk is high. Assuming that the remaining power of a power battery obtained at one time is 95%, the cell temperature is 45°C, and the temperature difference between cells is 7°C, the current risk probability is determined to be high, and based on the high risk probability, the next wake-up time interval is determined to be 10 minutes. Assuming that the remaining power of a power battery obtained at another time is 80%, the cell temperature is 39°C, and the temperature difference between cells is 1°C, the current risk probability is determined to be low, and based on the low risk probability, the next wake-up time interval is determined to be 20 minutes.

[0213] Taking the thermal management mode as an example, when the current remaining power is only 35%, the energy-saving mode thermal management strategy is adopted to save energy. Therefore, the cooling start time of the power battery may be more conservative. If the standard mode starts cooling the power battery at 40°C, it is likely that the cooling will be turned on at 44°C in the current energy-saving mode. At this time, the current risk probability should be determined to be a high risk probability, and the corresponding next wake-up time interval is shortened to 10 minutes.

[0214] Of course, the above specific examples are only used to illustrate the process of determining the current risk probability and time interval, and are not intended to limit the scope of protection of this application. Those skilled in the art can select one or more of the above parameters based on the above principles to determine the current risk probability and time interval. For example, those skilled in the art can determine that the current risk probability is a high risk probability based on only one of the above parameters being in the high risk threshold interval, or they can determine that the current risk probability is a high risk probability based on the fact that multiple parameters are simultaneously in the corresponding high risk threshold interval. When the current risk probability is determined by multiple parameters at the same time, those skilled in the art can determine the current risk probability by judging the number of parameters at the high risk threshold, or they can calculate the probability score of the current risk by weighted calculation of the comparison results of the parameters, and determine the current risk probability based on the probability score. This application does not limit this, as long as the current risk probability of the power battery can be reasonably determined and the time interval can be determined accordingly.

[0215] Furthermore, although the above embodiment is described with reference to the current risk probability including a high risk probability and a low risk probability, the present application is not limited thereto. In other possible embodiments, the current risk probability may be further refined to allow for more precise determination of the time interval. For example, the current risk probability may include three risk probabilities: high, medium, and low.

[0216] By determining the current risk probability of the battery when the battery is not in an abnormal state and determining the time interval for the next wake-up based on the current risk probability, the present application can change the time interval in a targeted manner based on the risk probability of the battery when performing battery safety monitoring. When the battery safety risk is low, the battery is monitored as little as possible, and when the battery safety risk is high, the battery is monitored as much as possible, thereby improving the quality of data acquisition while effectively controlling energy consumption.

[0217] S213: Control the battery management system to enter a dormant state again. In this step, when the power battery safety risk is low, there is no need to continuously monitor the power battery. Therefore, the battery management system can be controlled to enter a dormant state again. Because the battery management system wakes up in a short time to obtain status data, and no other controllers wake up except during the vehicle monitoring data acquisition process, it can effectively obtain status data while significantly saving monitoring energy consumption.

[0218] S215. Wake up the wireless communication network, and continuously obtain the status data of the power battery and upload the obtained status data and / or the alarm signal to the remote monitoring platform through the wireless communication network until the abnormal state is lifted. In this step, when the safety risk of the power battery is high, it is necessary to obtain a sufficient amount of data and upload the data to the remote monitoring platform in order to issue an alarm in time and provide a basis for fault analysis of the power battery. At this time, wake up the wireless communication network immediately, and continuously obtain the status data of the power battery, and upload the continuously obtained status data together with the alarm signal to the remote monitoring platform until the abnormal state is lifted. The continuous acquisition of status data in this application can be to obtain status data once every second or every several seconds. In short, this time interval is much shorter than the time interval when it is not in the abnormal state, so the amount of data acquired is also more sufficient.

[0219] When the battery is in an abnormal state, by continuously acquiring status data and continuously uploading the data and / or alarm signals to the remote monitoring platform, the safety monitoring method of the present application can also continuously record the data when the battery is in an abnormal state, providing an effective basis for fault analysis and maintenance and upgrades of the battery system.

[0220] In one possible implementation, to ensure that the monitoring data corresponds to the sampling time, timestamp data can be added when acquiring the status data. This allows the remote monitoring platform to accurately parse the data, ensuring that the centralized transmission of data is not affected by delays in sending and receiving or network conditions. The method for adding timestamp data is relatively common to those skilled in the art and will not be elaborated on here.

[0221] It should be noted that although the detailed steps of the method of the present invention are described in detail above, those skilled in the art may combine, split, and change the order of the above steps without departing from the basic principles of the present invention. The modified technical solution does not change the basic concept of the present invention and therefore falls within the scope of protection of the present invention. For example, those skilled in the art may arbitrarily change the order of the steps of recording the cumulative number of monitoring times (S205-S209), the step of determining the time interval for the next wake-up based on the current risk probability (S211), and the step of controlling the battery management controller to enter the sleep state again (S213). The control method after changing the order does not deviate from the basic concept of the present application.

[0222] The following combination Figure 3 and Figure 4 , a possible implementation method of the electric vehicle safety monitoring process is introduced. Figure 3 A time-energy consumption diagram of a specific embodiment of the safety monitoring method for an electric vehicle of the present invention; Figure 4 The figure is a logic diagram of a specific implementation of the safety monitoring method for electric vehicles of the present invention.

[0223] like Figure 3 As shown in the figure, according to the time axis, during normal operation of an electric vehicle, all electronic controllers are awake, monitoring the vehicle in real time and uploading data via the wireless communication network. After reaching a certain location, the driver parks, locks the vehicle, and leaves, causing the vehicle's electronic controllers to enter a dormant state from real-time monitoring. Over the next 100 minutes, the battery management system undergoes four short (10-minute) and three long (20-minute) 10-second self-wake-up monitoring cycles, all of which indicate stable and safe battery status. During the seventh monitoring cycle, the entire vehicle wakes up. In addition to routine battery monitoring, it also monitors all controllers. The accumulated status data and vehicle monitoring data are then transmitted via the wireless communication network before the vehicle goes back to sleep. After two more long (20-minute) self-wake-up cycles, the second self-wake-up cycle reveals abnormalities: high cell temperature, large temperature differences between cells, and reduced insulation resistance. The entire vehicle wakes up immediately, sending an alarm via the wireless communication network and continuously uploading real-time data on the power battery's status.

[0224] Reference Figure 4 ,After the electric vehicle stops (S301), the power battery is disconnected and the ,electronic controller of the entire vehicle goes into sleep mode.

[0225] (1) First, execute step S303 to determine whether the sleep time reaches the interval time; if the sleep time reaches the interval time, execute step S305 to wake up the battery management system and obtain the status data of the power battery; otherwise, return to the loop step S301.

[0226] (2) After obtaining the status data of the power battery, execute step S307 to determine whether the power battery is in an abnormal state based on the status data; if the power battery is in an abnormal state, execute step S309 to wake up the vehicle controller and the on-board gateway, continuously obtain the status data of the power battery and upload the status data and alarm signal to the remote monitoring platform through the vehicle controller and the on-board gateway; otherwise, if the power battery is not in an abnormal state, execute step S311 to record the cumulative monitoring times N.

[0227] (3) After recording the cumulative monitoring times N, step S313 is executed to determine whether the cumulative monitoring times N = 7 is established; if N = 7 is established, step S315 is executed to wake up the relevant controllers and vehicle gateways of the entire vehicle, monitor the entire vehicle to obtain the entire vehicle monitoring data, and then upload the entire vehicle monitoring data and the accumulated status data to the remote monitoring platform through the vehicle controller and the vehicle gateway, and then step S317 is executed to determine the current risk probability of the power battery; otherwise, if N = 7 is not established, step S317 is directly executed to determine the current risk probability of the power battery.

[0228] (4) After determining the current risk probability, execute step S319 to determine whether the current risk probability is a high risk probability; if so, execute step S321 to determine the time interval T = 10 minutes; otherwise, execute step S323 to determine the time interval T = 20 minutes.

[0229] (5) After executing step S321 or S323, execute step S325 to control the battery management system to sleep again.

[0230] (6) After executing step S325, return to step S303 and re-determine whether the sleep time reaches the time interval. This completes a monitoring cycle of the power battery.

[0231] Corresponding to the above-mentioned safety monitoring method, the present application also provides a safety monitoring system for an electric vehicle, which includes: a wake-up control module, which is configured to wake up the battery management controller in a dormant state at regular time intervals when the vehicle is in a parked state, control the battery management controller to enter a dormant state again when the battery is not in an abnormal state, and further wake up the wireless communication network in a dormant state when the battery is in an abnormal state; a data acquisition module, which is configured to obtain battery status data through the battery management controller; a battery status judgment module, which is configured to judge whether the battery is in an abnormal state based on the status data; and a sending control module, which is configured to upload the status data and / or alarm signal to a remote monitoring platform via a wireless communication network.

[0232] In one possible embodiment, the security monitoring system further includes: a times recording module, which is configured to record the cumulative monitoring times when the battery is not in an abnormal state; a times judgment module, which is configured to judge whether the cumulative monitoring times reaches a preset number; the wake-up control module is also configured to wake up the wireless communication network in a dormant state when the cumulative monitoring times reaches a preset number; the sending control module is also configured to upload the previously accumulated status data to the remote monitoring platform through the wireless communication network; the wake-up control module is also configured to control the wireless communication module to enter the dormant state again after the upload is completed.

[0233] In one possible embodiment, the data acquisition module is also configured to obtain vehicle monitoring data after the vehicle is monitored when the cumulative monitoring times reach a preset number; the sending control module is also configured to upload the vehicle monitoring data together with the accumulated status data to the remote monitoring platform through the wireless communication network.

[0234] In a possible implementation, the security monitoring system further includes: a times erasing module, which is configured to clear the accumulated monitoring times after the upload is completed.

[0235] In one possible embodiment, the data acquisition module is further configured to continuously acquire battery status data when the battery is in an abnormal state; the sending control module is further configured to upload the continuously acquired status data and / or alarm signal to the remote monitoring platform via a wireless communication network until the abnormal state is resolved.

[0236] In one possible implementation, the wake-up control module wakes up the wireless communication network in a dormant state in the following ways: waking up the wireless communication module directly or indirectly connected to the battery management controller; and / or waking up the vehicle controller and the vehicle gateway connected to the vehicle controller; and / or waking up the vehicle controller, the vehicle gateway connected to the vehicle controller, and the telematics processor connected to the vehicle gateway.

[0237] In one possible embodiment, the safety monitoring system further includes: a risk determination module, which is configured to determine the current risk probability of the battery when the battery is not in an abnormal state; and a time interval determination module, which is configured to determine the time interval for the next wake-up based on the current risk probability.

[0238] In one possible implementation, the risk determination module determines the current risk probability of the battery based on one or more of battery status data, battery diagnostic data, a battery thermal management mode, and environmental data.

[0239] In one possible implementation, the current risk probability includes a high risk probability and a low risk probability, and the time interval determination module determines the time interval for the next wake-up based on the current risk probability in the following manner: if the current risk probability is a high risk probability, the time interval for the next wake-up is determined to be a first preset time interval; otherwise, if the current risk probability is a low risk probability, the time interval for the next wake-up is determined to be a second preset time interval; wherein the first preset time interval is less than the second preset time interval.

[0240] In a possible implementation, the status data includes at least one of remaining power, battery cell temperature, battery cell voltage, temperature difference between battery cells, and insulation resistance value.

[0241] In one possible implementation, the battery status judgment module determines whether the battery is in an abnormal state based on the status data in the following manner: when at least one of the following judgment conditions is met, the battery is determined to be in an abnormal state; wherein the judgment conditions include: the battery cell temperature is greater than or equal to the maximum temperature threshold; the temperature difference between the battery cells is greater than or equal to the maximum temperature difference threshold; the insulation resistance value is less than or equal to the minimum resistance threshold; otherwise, when none of the above judgment conditions are met, the battery is determined to be not in an abnormal state.

[0242] The above-mentioned safety monitoring system of the electric vehicle is used to execute any of the above-mentioned safety monitoring method embodiments of the electric vehicle. The technical principles, technical problems solved and technical effects produced by the two are similar. Technical personnel in this technical field can clearly understand that for the convenience and conciseness of description, the specific working process and related instructions of the safety monitoring system of the electric vehicle can refer to the contents described in the embodiment of the safety monitoring method of the electric vehicle, and will not be repeated here.

[0243] The present application also provides a storage device that can be configured to store a program for executing the safety monitoring method for an electric vehicle according to any of the above-mentioned method embodiments. The program can be loaded and executed by a processor to implement the above-mentioned safety monitoring method for an electric vehicle. For ease of explanation, only the parts related to the embodiments of the present invention are shown. For specific technical details not disclosed, please refer to the method section of the embodiment of the present invention. The storage device can be a storage device formed by various electronic devices. Optionally, the storage in the embodiment of the present invention is a non-transitory computer-readable storage medium.

[0244] The present application also provides a control device, which includes a processor and a storage device. The storage device can be configured to store a program for executing the safety monitoring method for an electric vehicle according to any of the above-mentioned method embodiments. The processor can be configured to execute the program in the storage device, which includes but is not limited to the program for executing the safety monitoring method for an electric vehicle according to the above-mentioned method embodiment. For ease of explanation, only the parts related to the embodiment of the present invention are shown. For specific technical details not disclosed, please refer to the method section of the embodiment of the present invention. The control device can be a control device device formed by various electronic devices. Optionally, in the embodiment of the present invention, the control device is a microprocessor such as a single-chip microcomputer.

[0245] It will be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment of the present invention may also be completed by instructing the relevant hardware through a computer program. The computer program may be stored in a computer-readable storage medium. When the computer program is executed by a processor, it may implement the steps of each of the above method embodiments. The computer program includes computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include: any entity or device, medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal, and software distribution medium that can carry the computer program code. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0246] It should also be noted that the safety monitoring system for electric vehicles provided in the above embodiment is only illustrated by the division of the above functional units (such as the wake-up control module, the data acquisition module, the battery status judgment module, the transmission control module, etc.). In actual applications, the above functional units can be completed by different functional units as needed, that is, the functional units in the embodiments of the present invention can be further decomposed or combined. For example, the functional units in the above embodiment can be combined into one functional unit, or further divided into multiple sub-units to complete all or part of the functions described above. The names of the functional units involved in the embodiments of the present invention are only for distinction and are not regarded as improper limitations of the present invention.

[0247] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. A vehicle safety monitoring method, characterized in that: The security monitoring method comprises: When the vehicle is parked, the battery management controller is awakened at regular intervals and the battery status data is obtained through the battery management controller. determining, based on the status data, whether the battery is in an abnormal state; When the battery is not in the abnormal state, controlling the battery management controller to enter the dormant state again; Otherwise, when the battery is in the abnormal state, the wireless communication network in the dormant state is further awakened, and the state data and / or alarm signal is uploaded to the remote monitoring platform through the wireless communication network; The security monitoring method further includes: When the battery is not in the abnormal state, determining a current risk probability of the battery; Determining a time interval for a next wake-up based on the current risk probability; The current risk probability is determined based on one or more of status data of the battery, diagnostic data of the battery, a thermal management mode of the battery, and environmental data; The security monitoring method further includes: When the battery is not in an abnormal state, recording the cumulative monitoring times; Determining whether the cumulative monitoring times reaches a preset number; When the cumulative monitoring times reaches a preset number, the wireless communication network in a dormant state is awakened, and the previously accumulated status data is uploaded to the remote monitoring platform via the wireless communication network; After uploading is completed, the wireless communication module is controlled to enter the sleep state again.

2. The vehicle safety monitoring method according to claim 1, characterized in that: The security monitoring method further includes: When the cumulative monitoring times reaches the preset times, monitoring the entire vehicle and obtaining vehicle monitoring data; The whole vehicle monitoring data and the accumulated status data are uploaded to the remote monitoring platform through the wireless communication network.

3. The vehicle safety monitoring method according to claim 1, characterized in that: The security monitoring method further includes: After the upload is completed, the accumulated monitoring times are cleared.

4. The vehicle safety monitoring method according to claim 1, characterized in that: The security monitoring method further includes: When the battery is in an abnormal state, the battery status data is continuously acquired and the acquired status data and / or the alarm signal is uploaded to the remote monitoring platform via the wireless communication network until the abnormal state is resolved.

5. The vehicle safety monitoring method according to claim 1, characterized in that: The step of "waking up the wireless communication network in a dormant state" further includes: Waking up a wireless communication module directly or indirectly connected to the battery management controller; and / or Wake up the vehicle controller and the vehicle gateway connected to the vehicle controller; and / or Wake up the vehicle controller, the vehicle gateway connected to the vehicle controller, and the telematics processor connected to the vehicle gateway.

6. The vehicle safety monitoring method according to claim 1, characterized in that: The current risk probability includes a high risk probability and a low risk probability, and the step of "determining the time interval for the next wake-up based on the current risk probability" further includes: If the current risk probability is a high risk probability, determining the time interval for the next wake-up to be a first preset time interval; Otherwise, if the current risk probability is a low risk probability, determining the time interval for the next wake-up to be a second preset time interval; The first preset time interval is smaller than the second preset time interval.

7. The vehicle safety monitoring method according to claim 1, characterized in that: The status data includes at least one of remaining power, battery cell temperature, battery cell voltage, temperature difference between battery cells, and insulation resistance value.

8. The vehicle safety monitoring method according to claim 7, characterized in that: The step of “determining whether the battery is in an abnormal state based on the status data” further includes: When at least one of the following judgment conditions is met, it is determined that the battery is in the abnormal state; The judgment conditions include: The battery cell temperature is greater than or equal to the maximum temperature threshold or an outlier occurs; The voltage of the battery cell is greater than or equal to a maximum voltage threshold or an outlier occurs; The temperature difference between the battery cells is greater than or equal to the maximum temperature difference threshold; The insulation resistance value is less than a minimum resistance threshold; Otherwise, it is determined that the battery is not in the abnormal state.

9. A vehicle safety monitoring system, characterized in that: The security monitoring system includes: a wake-up control module configured to wake up a battery management controller in a dormant state at regular time intervals when the vehicle is parked, control the battery management controller to enter a dormant state again when the battery is not in an abnormal state, and further wake up a wireless communication network in a dormant state when the battery is in the abnormal state; a data acquisition module, configured to acquire battery status data through the battery management controller; a battery status determination module configured to determine whether the battery is in the abnormal state based on the status data; a sending control module configured to upload the status data and / or alarm signal to a remote monitoring platform via the wireless communication network; The security monitoring system also includes: a risk determination module configured to determine a current risk probability of the battery when the battery is not in the abnormal state; a time interval determination module, configured to determine a time interval for a next wake-up based on the current risk probability; The risk determination module determines a current risk probability of the battery based on one or more of status data of the battery, diagnostic data of the battery, a thermal management mode of the battery, and environmental data; The security monitoring system further includes: a times recording module, configured to record the cumulative monitoring times when the battery is not in an abnormal state; A times determination module, configured to determine whether the cumulative monitoring times reaches a preset number; The wake-up control module is further configured to wake up the wireless communication network in a dormant state when the cumulative monitoring times reaches a preset number; The sending control module is further configured to upload the previously accumulated status data to the remote monitoring platform via the wireless communication network; The wake-up control module is further configured to control the wireless communication module to enter the sleep state again after the upload is completed.

10. The vehicle safety monitoring system according to claim 9, characterized in that: The data acquisition module is further configured to acquire vehicle monitoring data after the vehicle is monitored when the cumulative monitoring times reaches the preset times; The sending control module is further configured to upload the vehicle monitoring data together with the accumulated status data to the remote monitoring platform through the wireless communication network.

11. The vehicle safety monitoring system according to claim 9, characterized in that: The security monitoring system also includes: The times erasing module is configured to clear the accumulated monitoring times after the upload is completed.

12. The vehicle safety monitoring system according to claim 9, characterized in that: The data acquisition module is further configured to continuously acquire status data of the battery when the battery is in an abnormal state; The sending control module is further configured to upload the continuously acquired status data and / or the alarm signal to the remote monitoring platform via the wireless communication network until the abnormal state is resolved.

13. The vehicle safety monitoring system according to claim 9, characterized in that: The wake-up control module wakes up the wireless communication network in a dormant state in the following manner: Waking up a wireless communication module directly or indirectly connected to the battery management controller; and / or Wake up the vehicle controller and the vehicle gateway connected to the vehicle controller; and / or Wake up the vehicle controller, the vehicle gateway connected to the vehicle controller, and the telematics processor connected to the vehicle gateway.

14. The vehicle safety monitoring system according to claim 9, characterized in that: The current risk probability includes a high risk probability and a low risk probability. The time interval determination module determines the time interval for the next wake-up based on the current risk probability in the following manner: If the current risk probability is a high risk probability, determining the time interval for the next wake-up to be a first preset time interval; Otherwise, if the current risk probability is a low risk probability, determining the time interval for the next wake-up to be a second preset time interval; The first preset time interval is smaller than the second preset time interval.

15. The vehicle safety monitoring system according to claim 9, characterized in that: The status data includes at least one of remaining power, battery cell temperature, battery cell voltage, temperature difference between battery cells, and insulation resistance value.

16. The vehicle safety monitoring system according to claim 15, characterized in that: The battery status determination module determines whether the battery is in the abnormal state based on the status data in the following manner: When at least one of the following judgment conditions is met, it is determined that the battery is in the abnormal state; The judgment conditions include: The battery cell temperature is greater than or equal to the maximum temperature threshold or an outlier occurs; The voltage of the battery cell is greater than or equal to a maximum voltage threshold or an outlier occurs; The temperature difference between the battery cells is greater than or equal to the maximum temperature difference threshold; The insulation resistance value is less than or equal to the minimum resistance threshold; Otherwise, it is determined that the battery is not in the abnormal state.

17. A storage device storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by a processor to execute the vehicle safety monitoring method according to any one of claims 1 to 8.

18. A control device comprising a processor and a storage device, wherein the storage device is adapted to store a plurality of program codes, wherein: The program code is suitable for being loaded and run by the processor to execute the vehicle safety monitoring method according to any one of claims 1 to 8.

Images