CN-122018412-A - Low-power-consumption remote monitoring method and system for vehicle

CN122018412ACN 122018412 ACN122018412 ACN 122018412ACN-122018412-A

Abstract

The application relates to the field of vehicle monitoring, in particular to a low-power-consumption remote monitoring method and system for a vehicle. The method comprises the steps of acquiring collected vehicle multi-axis acceleration, voltage and temperature data, responding to a wake-up trigger signal, constructing a multi-axis acceleration sequence in a preset time window, calculating an environment interference suppression factor representing the continuous fluctuation degree of external mechanical vibration according to the fluctuation characteristic of the multi-axis acceleration sequence, calculating the vehicle vulnerability degree representing the nonlinear degradation risk of a vehicle-mounted battery based on the voltage variation quantity and the temperature data of the battery between two adjacent wake-up states, acquiring the former actual dormancy time, calculating a period scaling according to the environment interference suppression factor and the vehicle vulnerability degree, taking the product of the period scaling and the former actual dormancy time as the latter dormancy time, and configuring the latter dormancy time to a comparison register of clock peripherals to control dormancy duration. The application has the effect of realizing self-adaptive low-power consumption control.

Inventors

DAI KAI
FENG SHU
CHU XUECONG
LI CHAOPING
CUI SHAN
WANG ZHIFENG
WANG CE
ZHANG ZHIJIAN
CHEN JIAHAO

Assignees

尚元智行(桐乡)科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260410

Claims (8)

1. The low-power-consumption remote monitoring method for the vehicle is characterized by comprising the following steps of: acquiring collected vehicle multi-axis acceleration, voltage and temperature data; Responding to the wake-up trigger signal, constructing a multi-axis acceleration sequence in a preset time window, and calculating an environmental interference suppression factor representing the continuous fluctuation degree of external mechanical vibration according to the fluctuation characteristics of the multi-axis acceleration sequence; Calculating the vehicle vulnerability degree representing the nonlinear degradation risk of the vehicle-mounted battery based on the voltage variation and the temperature data of the battery between two adjacent wake-up states; and acquiring the previous actual sleep time, calculating a cycle scaling according to the environmental interference suppression factor and the vehicle vulnerability, taking the product of the cycle scaling and the previous actual sleep time as the next sleep time, and configuring the next sleep time to a comparison register of the clock peripheral to control the sleep time.
2. The method for remotely monitoring the low power consumption of the vehicle according to claim 1, wherein the method for calculating the environmental interference suppression factor is as follows: Calculating local average fluctuation intensity in any time window; calculating the instantaneous fluctuation intensity in the time window; and carrying out negative correlation normalization on the product of the ratio of the local average fluctuation intensity to the instantaneous fluctuation intensity and a preset first super parameter to obtain a normalized value, and taking the difference value between 1 and the normalized value as an environmental interference suppression factor.
3. The method for remotely monitoring the vehicle with low power consumption according to claim 2, wherein the method for calculating the local average fluctuation intensity is characterized by obtaining an instantaneous acceleration sequence in a time window, calculating the average value of all acceleration samples in the time window, and then calculating the average value of the sum of squares of deviation of each instantaneous acceleration and the average value as the local average fluctuation intensity.
4. The method for remotely monitoring the low power consumption of the vehicle according to claim 1 is characterized in that the method for calculating the vehicle vulnerability is that in a current wake-up state, the severity of electric leakage or power consumption leakage is calculated, a temperature influence factor of a battery in the wake-up state is obtained, and the product of the severity and the temperature influence factor is used as the vehicle vulnerability.
5. The method for remotely monitoring the low power consumption of the vehicle according to claim 4, wherein the method for calculating the severity comprises the steps of calculating a voltage difference value of a battery in a current wake-up state and a previous wake-up state, calculating a time difference between the current wake-up state and a starting time of the previous wake-up state, and normalizing an absolute ratio of the voltage difference value and the time difference to obtain the severity.
6. The method for remotely monitoring the low power consumption of the vehicle according to claim 4, wherein an absolute difference between a temperature average value of the battery in the current wake-up state and a temperature average value in all wake-up states of the history is calculated, and a normalization result of the absolute difference is used as a temperature influence factor.
7. The method for remotely monitoring the low power consumption of the vehicle according to claim 1, wherein the cycle scaling is calculated according to the vehicle vulnerability and the environmental interference suppression factor.
8. A low power remote monitoring system for a vehicle, comprising a processor and a memory, the memory storing computer program instructions which, when executed by the processor, implement the low power remote monitoring method for a vehicle according to any one of claims 1-7.

Description

Low-power-consumption remote monitoring method and system for vehicle Technical Field The application relates to the field of vehicle monitoring, in particular to a low-power-consumption remote monitoring method and system for a vehicle. Background Along with the development of vehicle intellectualization and networking, the vehicle is highly dependent on a vehicle-mounted remote monitoring terminal for state tracking and safety early warning during long-period parking or long-distance transportation parking. In the prior art, remote monitoring systems typically employ fixed timed wake-up or sensor interrupt wake-up mechanisms based on static physical thresholds. In a long-time parking scene, high-frequency fixed awakening can lead to rapid consumption (electricity shortage) of the electric quantity of a low-voltage storage battery or a power battery of the vehicle, and if a fixed-threshold sensor awakening mechanism is adopted, false awakening is extremely easy to generate when complex environment interference such as wind load, large-scale vehicle driving and the like is faced, a large amount of redundant data transmission overhead is generated, and the standby power consumption of the vehicle is seriously influenced. Meanwhile, the stiff timing strategy does not consider the nonlinear degradation of the vehicle-mounted battery along with the sudden drop of the air temperature or the time lapse, and the serious power deficiency of the battery and the loss of the whole vehicle are easily caused. There is a need for a remote monitoring method that breaks the inherent technical contradiction between "high frequency reliable monitoring" and "very low standby power consumption". Disclosure of Invention In order to solve the technical problems, the application provides a low-power-consumption remote monitoring method and system for a vehicle. In a first aspect, the present application provides a low-power consumption remote monitoring method for a vehicle, which adopts the following technical scheme: A low-power-consumption remote monitoring method for a vehicle comprises the steps of acquiring collected multi-axis acceleration, voltage and temperature data of the vehicle, responding to a wake-up trigger signal, constructing a multi-axis acceleration sequence in a preset time window, calculating an environment interference suppression factor representing the continuous fluctuation degree of external mechanical vibration according to the fluctuation characteristics of the multi-axis acceleration sequence, calculating the vehicle vulnerability degree representing the nonlinear degradation risk of the vehicle-mounted battery based on the voltage variation quantity and the temperature data of the battery between two adjacent wake-up states, acquiring the former actual sleep time, calculating a period scaling according to the environment interference suppression factor and the vehicle vulnerability degree, taking the product of the period scaling and the former actual sleep time as the latter sleep time, and configuring the latter sleep time to a comparison register of clock peripherals to control the sleep time. Optionally, the calculation method of the environmental interference suppression factor comprises the steps of calculating local average fluctuation intensity in any time window, calculating instantaneous fluctuation intensity in the time window, carrying out negative correlation normalization on the product of the ratio of the local average fluctuation intensity to the instantaneous fluctuation intensity and a preset first super parameter to obtain a normalization value, and taking the difference value between 1 and the normalization value as the environmental interference suppression factor. Optionally, the calculation method of the local average fluctuation intensity comprises the steps of obtaining an instantaneous acceleration sequence in a time window, calculating the average value of all acceleration samples in the time window, and calculating the average value of the deviation square sum of each instantaneous acceleration and the average value as the local average fluctuation intensity. Optionally, the method for calculating the vehicle vulnerability degree comprises the steps of calculating the severity degree of electric leakage or power consumption leakage in the current wake-up state, acquiring a temperature influence factor of a battery in the wake-up state, and taking the product of the severity degree and the temperature influence factor as the vehicle vulnerability degree. Optionally, the method for calculating the severity comprises the steps of calculating a voltage difference value of a battery in a current awakening state and a battery in a previous awakening state, calculating a time difference between the current awakening state and the starting time of the previous awakening state, and normalizing an absolute ratio of the voltage difference value and the time difference to obtain the