Automobile emergency starting power supply monitoring method and system based on intelligent sensing

Abstract

The invention relates to the technical field of automobile electronics, and discloses an automobile emergency starting power supply monitoring method and system based on intelligent sensing, and the method comprises the steps: constructing a contact PT100 sensor and a non-contact infrared thermal imager of an automobile emergency starting power supply, and collecting a PT100 signal and an infrared image of the automobile emergency starting power supply; performing bimodal fusion on the PT100 signal and the infrared image to obtain three-dimensional temperature field distribution, and analyzing local overheat points of the automobile emergency starting power supply; the method comprises the following steps: synthesizing a sweep frequency excitation signal of an automobile emergency starting power supply by using a preset digital direct frequency synthesis algorithm, analyzing a complex impedance spectrum of the automobile emergency starting power supply, and extracting charge transfer resistance Rct and electric double layer capacitance Cdl of the automobile emergency starting power supply by using a pre-trained optimized Cole-Cole model; and determining an early warning mechanism of the automobile emergency starting power supply, and executing effective monitoring of the automobile emergency starting power supply based on the early warning mechanism. According to the invention, the reliability and safety of vehicle starting can be improved.

Description

Technical Field

[0001] The invention relates to an automobile emergency starting power supply monitoring method and system based on intelligent sensing, belonging to the technical field of automobile electronics. Background Art

[0002] Car emergency starting power supply monitoring refers to the process of real-time or regular detection and evaluation of the working status, performance parameters and health status of the car emergency starting power supply (usually a portable or vehicle-mounted 12V or 24V starting power supply). The purpose of this monitoring is to ensure that the emergency starting power supply can reliably start the car engine when the car battery fails or is low on power, avoiding the vehicle being unable to start due to power problems.

[0003] Traditional automobile emergency starting power supply monitoring usually relies on simple voltmeters and ammeters to manually check the output voltage and current of the power supply. This method can only provide basic power information and lacks in-depth analysis of the internal status of the battery and potential faults. Therefore, it is unable to provide comprehensive and efficient battery health management, which can easily lead to battery overcharging, over-discharging or accidental failure, affecting the reliability and safety of vehicle starting. Summary of the invention

[0004] The present invention provides an automobile emergency starting power supply monitoring method and system based on intelligent sensing, the main purpose of which is to improve the reliability and safety of vehicle starting.

[0005] To achieve the above object, the present invention provides a method for monitoring an automobile emergency starting power supply based on intelligent sensing, comprising: Constructing a multi-source sensor array of an automobile emergency starting power supply, and collecting voltage signals, current waveforms, and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array; Constructing a contact PT100 sensor and a non-contact infrared thermal imager of the automobile emergency starting power supply, and collecting a PT100 signal and an infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager; Performing dual-mode fusion on the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution, and analyzing the local hot spots of the automobile emergency starting power supply according to the three-dimensional temperature field distribution; According to the local hot spot, a swept frequency excitation signal of the automobile emergency starting power supply is synthesized by using a preset digital direct frequency synthesis algorithm, and based on the swept frequency excitation signal, a complex impedance spectrum of the automobile emergency starting power supply is analyzed, and according to the complex impedance spectrum, a pre-trained optimized Cole-Cole model is used to extract the charge transfer resistance Rct and the double-layer capacitance Cdl of the automobile emergency starting power supply; Based on the charge transfer resistance Rct, the double-layer capacitance Cdl, the voltage signal, the current waveform and the vibration spectrum data, the early warning mechanism of the automobile emergency starting power supply is determined, and effective monitoring of the automobile emergency starting power supply is performed based on the early warning mechanism.

[0006] Optionally, the collecting of the voltage signal, current waveform and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array includes: Configuring acquisition parameters of the DAQ acquisition unit corresponding to the multi-source sensor array; According to the acquisition parameters, the output voltage, output current and vibration data of the emergency starting power supply are acquired through the DAQ acquisition unit; Converting the output voltage, output current and vibration data into electrical signals to obtain voltage signals, current signals and vibration signals; Analyzing the current waveform of the emergency starting power supply according to the current signal; The vibration spectrum data of the emergency starting power supply is analyzed through the vibration signal.

[0007] Optionally, the collecting of the PT100 signal and infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager includes: Analyzing the thermally sensitive area of ​​the automobile emergency starting power supply; Integrating the contact PT100 sensor into the heat sensitive area, and calibrating the contact PT100 sensor to obtain a calibrated PT100 sensor; Collecting a PT100 signal of the automobile emergency starting power supply based on the calibrated PT100 sensor; Determining the coordinate position of the non-contact infrared thermal imager; Analyzing the imager field of view of the non-contact infrared thermal imager according to the coordinate position; Defining imager parameters of the non-contact infrared thermal imager according to the imager field of view; Based on the imager parameters, the non-contact infrared thermal imager is used to collect an infrared image of the automobile emergency starting power supply.

[0008] Optionally, the analyzing the heat-sensitive area of ​​the automobile emergency starting power supply includes: Obtaining thermal test data of the automobile emergency starting power supply; Determining the heat source of the automobile emergency starting power supply; Gridding the automobile emergency starting power supply to obtain a power grid unit; Analyzing the unit hot spot temperature and power change rate of the power grid unit; Based on the heat source, the unit hot spot temperature and the power change rate, the transient thermal resistance of the power grid unit is calculated using the following formula: ; in, Indicates the power grid unit in The transient thermal resistance at the moment, Indicates the power grid unit in The unit hot spot temperature at time, Indicates the power grid unit in The power of the cth heat source at the moment, represents the number of heat sources in the power grid cell, Indicates the ambient temperature corresponding to the power grid unit, represents the thermal inertia coefficient of the material, Indicates the power grid unit in The power change rate at the moment; Based on the transient thermal resistance, a thermally sensitive area of ​​the automobile emergency starting power supply is determined.

[0009] Optionally, the dual-modal fusion of the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution includes: Preprocessing the PT100 signal and the infrared image to obtain a processed PT100 signal and a processed infrared image; spatially registering the processed PT100 signal and the processed infrared image to obtain a registered PT100 signal and a registered infrared image; fusing the registered PT100 signal and the registered infrared image to obtain fused dual-modal data; Constructing a three-dimensional power supply model of the automobile emergency starting power supply corresponding to the PT100 signal; The fused bimodal data is mapped to the three-dimensional model of the power supply to obtain the three-dimensional temperature field distribution.

[0010] Optionally, synthesizing the sweep frequency excitation signal of the automobile emergency starting power supply according to the local hot spot by using a preset digital direct frequency synthesis algorithm includes: Determining a component to be excited of the vehicle emergency starting power supply according to the local hot spot; Determined according to the excitation signal requirement of the component to be excited; Determining synthesis parameters of the digital direct frequency synthesis algorithm according to the excitation signal requirement; The frequency sweep excitation signal of the automobile emergency starting power supply is synthesized by using the synthesis parameters and the digital direct frequency synthesis algorithm.

[0011] Optionally, analyzing the complex impedance spectrum of the automobile emergency starting power supply based on the swept frequency excitation signal includes: Analyzing the frequency range of the swept frequency excitation signal; When the frequency range meets the preset frequency range threshold, obtaining response data of the automobile emergency starting power supply under the frequency sweep excitation signal, wherein the response data includes voltage response data and current response data; Calculating the complex impedance of the automobile emergency starting power supply according to the voltage response data and the current response data; According to the complex impedance, a complex impedance spectrum of the automobile emergency starting power supply is constructed.

[0012] Optionally, the calculating the complex impedance of the automobile emergency starting power supply according to the voltage response data and the current response data includes: Determining the voltage amplitude and voltage phase angle of the automobile emergency starting power supply according to the voltage response data; Determining the current amplitude and current phase angle of the automobile emergency starting power supply through the current response data; Based on the voltage amplitude, the voltage phase angle, the current amplitude, and the current phase angle, the complex impedance of the automobile emergency starting power supply is calculated using the following formula: ; in, Represents the complex impedance of the car emergency starting power supply, Indicates the voltage amplitude, represents the current amplitude, represents the voltage phase angle, represents the current phase angle, represents the cosine function, represents the sine function, Represents an imaginary unit.

[0013] Optionally, extracting the charge transfer resistance Rct and the double-layer capacitance Cdl of the automobile emergency starting power supply using a pre-trained optimized Cole-Cole model according to the complex impedance spectrum includes: Defining initialization parameters of the optimized Cole-Cole model; Fitting the optimized Cole-Cole model according to the complex impedance spectrum and the initialization parameters to obtain a fitted Cole-Cole model; Constructing a fitting curve of the Cole-Cole model; Analyzing the convergence coefficient of the fitting curve; According to the convergence coefficient, the charge transfer resistance Rct and the double layer capacitance Cdl in the fitted Cole-Cole model are extracted.

[0014] In order to solve the above problems, the present invention also provides an automobile emergency starting power supply monitoring system based on intelligent sensing, the system comprising: A multivariate data acquisition module, used to construct a multi-source sensor array of an automobile emergency starting power supply, and to collect voltage signals, current waveforms, and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array; A temperature sensing device configuration module is used to construct a contact PT100 sensor and a non-contact infrared thermal imager of the automobile emergency starting power supply, and to collect a PT100 signal and an infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager; A local hot spot analysis module is used to perform dual-mode fusion of the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution, and analyze the local hot spot of the automobile emergency starting power supply according to the three-dimensional temperature field distribution; A complex impedance spectrum analysis module, used to synthesize a swept frequency excitation signal of the automobile emergency starting power supply according to the local hot spot by using a preset digital direct frequency synthesis algorithm, analyze the complex impedance spectrum of the automobile emergency starting power supply based on the swept frequency excitation signal, and extract the charge transfer resistance Rct and double layer capacitance Cdl of the automobile emergency starting power supply according to the complex impedance spectrum by using a pre-trained optimized Cole-Cole model; The starting power supply detection module is used to determine the early warning mechanism of the automobile emergency starting power supply based on the charge transfer resistance Rct, the double-layer capacitance Cdl, the voltage signal, the current waveform and the vibration spectrum data, and perform effective monitoring of the automobile emergency starting power supply based on the early warning mechanism.

[0015] Compared with the problems described in the background technology, firstly, the introduction of the multi-source sensor array ensures the synchronous acquisition of voltage signals, current waveforms and vibration spectrum data, and provides rich data support for real-time monitoring of power supply performance. This multi-dimensional data acquisition not only improves the accuracy of fault detection, but also helps to discover potential overheating or electrical problems in advance. Secondly, through the dual-mode fusion technology, the PT100 signal is combined with the infrared image to obtain an accurate three-dimensional temperature field distribution, which makes the positioning of local hot spots more accurate, thereby providing an important basis for the thermal management of the power supply. Furthermore, the sweep frequency excitation signal synthesized by the digital direct frequency synthesis algorithm is combined with the optimized Cole-Cole model to effectively extract the charge transfer resistance Rct and the double-layer capacitance Cdl. The accurate measurement of these parameters provides a scientific basis for evaluating the health status of the battery and predicting its remaining service life. Finally, the early warning mechanism constructed based on these parameters realizes the effective monitoring of the emergency starting power supply of the automobile. The early warning mechanism can issue an alarm in time to guide users and maintenance personnel to take corresponding measures, thereby significantly reducing the risk of power failure, extending the service life of the power supply, and ensuring the safe operation of the vehicle. Therefore, the present invention improves the reliability and safety of vehicle starting. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of a flow chart of a method for monitoring an automobile emergency starting power supply based on intelligent sensing provided by an embodiment of the present invention; Figure 2 A schematic diagram of a module for implementing the intelligent sensing-based automobile emergency starting power supply monitoring method provided in one embodiment of the present invention.

[0017] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0018] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0019] The embodiment of the present application provides a method for monitoring an automobile emergency starting power supply based on intelligent sensing. The execution subject of the method for monitoring an automobile emergency starting power supply based on intelligent sensing includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for monitoring an automobile emergency starting power supply based on intelligent sensing can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0020] Embodiment 1: Reference Figure 1FIG. 1 is a flow chart of a method for monitoring an automobile emergency starting power supply based on intelligent sensing according to an embodiment of the present invention. In this embodiment, the method for monitoring an automobile emergency starting power supply based on intelligent sensing includes: S1. Construct a multi-source sensor array for an automobile emergency starting power supply, and collect voltage signals, current waveforms, and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array.

[0021] The invention constructs a multi-source sensor array for automobile emergency starting power supply, which can provide support for multi-source data collection of automobile emergency starting power supply. The multi-source sensor array refers to an array constructed by devices for collecting data of automobile emergency starting power supply.

[0022] The present invention collects the voltage signal, current waveform and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array, which can realize comprehensive monitoring of the automobile emergency starting power supply and provide a basis for subsequent emergency starting power supply analysis.

[0023] In detail, the collecting of the voltage signal, current waveform and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array includes: Configuring acquisition parameters of the DAQ acquisition unit corresponding to the multi-source sensor array; According to the acquisition parameters, the output voltage, output current and vibration data of the emergency starting power supply are acquired through the DAQ acquisition unit; Converting the output voltage, output current and vibration data into electrical signals to obtain voltage signals, current signals and vibration signals; Analyzing the current waveform of the emergency starting power supply according to the current signal; The vibration spectrum data of the emergency starting power supply is analyzed through the vibration signal.

[0024] Among them, the DAQ acquisition unit refers to an electronic device used to collect data from various sensors or signal sources, the acquisition parameters refer to parameters set on the DAQ acquisition unit, which are used to define the data acquisition process, such as sampling rate, sampling time, resolution and other parameters, the output voltage refers to the voltage provided to the load by the emergency starting power supply under normal working conditions, the output current refers to the current provided to the load by the emergency starting power supply under normal working conditions, the vibration data refers to data reflecting the mechanical vibration generated by the power supply during operation, the voltage signal refers to an electrical signal converted by a voltage sensor, the current signal refers to an electrical signal converted by a current sensor, the vibration signal refers to an electrical signal converted by a vibration sensor, the current waveform refers to a graphical representation obtained by analyzing the current signal, and the vibration spectrum data refers to data showing the frequency components of the vibration signal.

[0025] S2. Construct a contact PT100 sensor and a non-contact infrared thermal imager of the automobile emergency starting power supply, and collect the PT100 signal and infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager.

[0026] It should be explained that the contact PT100 sensor refers to a temperature sensor based on the properties of a platinum resistance temperature detector (RTD), and the non-contact infrared thermal imager refers to a device that uses infrared radiation emitted by an object to measure its surface temperature.

[0027] The present invention collects the PT100 signal and infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager, and can obtain the temperature data of the automobile emergency starting power supply, thereby providing a data basis for subsequent thermal analysis.

[0028] In detail, the method of collecting the PT100 signal and infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager includes: Analyzing the thermally sensitive area of ​​the automobile emergency starting power supply; Integrating the contact PT100 sensor into the heat sensitive area, and calibrating the contact PT100 sensor to obtain a calibrated PT100 sensor; Collecting a PT100 signal of the automobile emergency starting power supply based on the calibrated PT100 sensor; Determining the coordinate position of the non-contact infrared thermal imager; Analyzing the imager field of view of the non-contact infrared thermal imager according to the coordinate position; Defining imager parameters of the non-contact infrared thermal imager according to the imager field of view; Based on the imager parameters, the non-contact infrared thermal imager is used to collect an infrared image of the automobile emergency starting power supply.

[0029] Among them, the heat-sensitive area refers to those parts of the automobile emergency starting power supply that are particularly sensitive to temperature changes. The heat-sensitive areas include battery units, electronic control units, radiators, connectors, etc. The calibrated PT100 sensor refers to a PT100 sensor that has undergone a calibration process to ensure that its measurement accuracy meets specific standards. The PT100 signal refers to the electrical signal output by the PT100 sensor. The coordinate position refers to the specific position of the non-contact infrared thermal imager in space. The imager field of view refers to the scene range that the infrared thermal imager can capture under the current settings. The imager parameters refer to various parameters that the infrared thermal imager needs to set when collecting images, including temperature range, resolution, emissivity, ambient temperature, humidity, distance, etc. The infrared image refers to an image captured by a non-contact infrared thermal imager that shows the surface temperature distribution of an object.

[0030] Furthermore, the analyzing the heat sensitive area of ​​the automobile emergency starting power supply includes: Obtaining thermal test data of the automobile emergency starting power supply; Determining the heat source of the automobile emergency starting power supply; Gridding the automobile emergency starting power supply to obtain a power grid unit; Analyzing the unit hot spot temperature and power change rate of the power grid unit; Based on the heat source, the unit hot spot temperature and the power change rate, the transient thermal resistance of the power grid unit is calculated using the following formula: ; in, Indicates that the power grid unit is The transient thermal resistance at the moment, Indicates that the power grid unit is The unit hot spot temperature at time, Indicates that the power grid unit is The power of the cth heat source at the moment, represents the number of heat sources in the power grid cell, Indicates the ambient temperature corresponding to the power grid unit, represents the thermal inertia coefficient of the material, Indicates that the power grid unit is The power change rate at the moment; Based on the transient thermal resistance, a thermally sensitive area of ​​the automobile emergency starting power supply is determined.

[0031] Among them, the thermal test data refers to the temperature detection data used to analyze the heat-sensitive area of ​​the automobile emergency starting power supply, the heat source refers to the physical process of generating heat inside the power supply, the power grid unit refers to the discrete calculation unit that divides the power supply into three-dimensional space (typical size 5×5×5mm), the unit hot spot temperature refers to the highest temperature value in a single grid unit, the power change rate refers to the change in the heat source power per unit time, the transient thermal resistance refers to the parameter that characterizes the instantaneous heat dissipation capacity of the unit, the material thermal inertia coefficient refers to the characteristic parameter that reflects the delay in the material's response to power changes, and the ambient temperature refers to the ambient air temperature 50cm away from the power supply surface.

[0032] It should be noted that, in this application, the transient thermal resistance calculated by the above formula can be used to analyze the thermal sensitivity of the vehicle emergency start power grid unit, thereby improving the reliability of contact PT100 sensor data acquisition. Based on Fourier's law of heat conduction, the steady-state temperature rise under unit power is described as: Characterizes transient thermal hysteresis when power changes rapidly based on the heat capacitance effect.

[0033] S3. Performing dual-mode fusion on the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution, and analyzing the local hot spots of the automobile emergency starting power supply according to the three-dimensional temperature field distribution.

[0034] The present invention performs dual-mode fusion on the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution, and can obtain a three-dimensional temperature field distribution of the automobile emergency starting power supply, thereby more deeply understanding its thermal behavior.

[0035] In detail, the dual-modal fusion of the PT100 signal and the infrared image to obtain the three-dimensional temperature field distribution includes: Preprocessing the PT100 signal and the infrared image to obtain a processed PT100 signal and a processed infrared image; spatially registering the processed PT100 signal and the processed infrared image to obtain a registered PT100 signal and a registered infrared image; fusing the registered PT100 signal and the registered infrared image to obtain fused bimodal data; Constructing a three-dimensional power supply model of the automobile emergency starting power supply corresponding to the PT100 signal; The fused bimodal data is mapped to the three-dimensional model of the power supply to obtain the three-dimensional temperature field distribution.

[0036] Among them, the processing PT100 signal refers to the temperature data collected by the PT100 sensor after a series of preprocessing steps, and the preprocessing steps include signal cleaning (removing noise and outliers), temperature conversion (converting resistance values ​​into temperature values), time synchronization (ensuring the consistency of data acquisition time) and calibration (ensuring data accuracy). The processing infrared image refers to the image data collected by the infrared thermal imager after preprocessing. The preprocessing steps include image correction (such as lens distortion correction, emissivity correction), image enhancement (improving image contrast and clarity), cropping and scaling (to meet analysis requirements) and time marking (ensuring image and PT100 signal time synchronization), the registering PT100 signal refers to the result of the process of spatially aligning the PT100 signal with the infrared image, the registering infrared image refers to the infrared image that has been spatially registered, the fusion of bimodal data is the result of combining the registered PT100 signal and the infrared image data, the three-dimensional power supply model refers to the three-dimensional geometric model of the automobile emergency starting power supply, and the three-dimensional temperature field distribution refers to the temperature distribution obtained by fusing bimodal data in the three-dimensional power supply model.

[0037] Optionally, the fusion of the registered PT100 signal and the registered infrared image to obtain fused bimodal data can apply a multi-sensor data fusion algorithm, such as Kalman filtering, particle filtering or deep learning method to map the temperature information of PT100 to the corresponding infrared image area.

[0038] The present invention can effectively analyze the local overheating point of the automobile emergency starting power supply according to the three-dimensional temperature field distribution, thereby improving the reliability and safety of the power supply. The local overheating point refers to one or several areas in the automobile emergency starting power supply, whose temperature is significantly higher than other surrounding areas. In detail, the local overheating point can be determined according to the design specifications and material properties of the power supply, and the temperature threshold of the local overheating is determined.

[0039] S4. According to the local hot spot, a preset digital direct frequency synthesis algorithm is used to synthesize a swept frequency excitation signal of the automobile emergency starting power supply. Based on the swept frequency excitation signal, the complex impedance spectrum of the automobile emergency starting power supply is analyzed. According to the complex impedance spectrum, a pre-trained optimized Cole-Cole model is used to extract the charge transfer resistance Rct and the double-layer capacitance Cdl of the automobile emergency starting power supply.

[0040] According to the local hot spot, the present invention uses a preset digital direct frequency synthesis algorithm to synthesize the swept frequency excitation signal of the automobile emergency starting power supply to improve the basis for the subsequent complex impedance spectrum analysis.

[0041] In detail, the method of synthesizing the sweep frequency excitation signal of the automobile emergency starting power supply according to the local hot spot by using a preset digital direct frequency synthesis algorithm includes: Determining, according to the local hot spot, a component to be excited of the vehicle emergency starting power supply; Determined according to the excitation signal requirement of the component to be excited; Determining synthesis parameters of the digital direct frequency synthesis algorithm according to the excitation signal requirement; The frequency sweep excitation signal of the automobile emergency starting power supply is synthesized by using the synthesis parameters and the digital direct frequency synthesis algorithm.

[0042] Among them, the component to be excited refers to a specific part or component identified in the automobile emergency starting power supply that needs to be applied with an excitation signal for analysis or testing. The excitation signal requirement refers to a series of technical requirements that the excitation signal applied to the component to be excited should meet in order to achieve a specific test or analysis purpose, including the frequency range, amplitude, waveform, duration, scanning rate, etc. of the signal. The digital direct frequency synthesis algorithm refers to a signal synthesis method that uses digital technology to generate arbitrary waveforms and frequencies. The synthesis parameters refer to a set of parameters used to configure the digital direct frequency synthesis algorithm, including initial frequency, frequency step, frequency upper limit, amplitude, phase offset, sampling rate, etc. The swept frequency excitation signal refers to a signal whose frequency changes linearly or nonlinearly with time, which is used to stimulate the component to be excited during the test process to observe its response at different frequencies.

[0043] The present invention analyzes the complex impedance spectrum of the automobile emergency starting power supply based on the frequency sweeping excitation signal, thereby performing an in-depth analysis on the performance and health status of the power supply.

[0044] In detail, the analyzing the complex impedance spectrum of the automobile emergency starting power supply based on the swept frequency excitation signal includes: Analyzing the frequency range of the swept frequency excitation signal; When the frequency range meets the preset frequency range threshold, obtaining response data of the automobile emergency starting power supply under the frequency sweep excitation signal, wherein the response data includes voltage response data and current response data; Calculating the complex impedance of the automobile emergency starting power supply according to the voltage response data and the current response data; According to the complex impedance, a complex impedance spectrum of the automobile emergency starting power supply is constructed.

[0045] Among them, the frequency range refers to the frequency interval covered by the swept frequency excitation signal, the frequency range threshold refers to a preset set of frequency limits, which is used to determine whether the frequency range of the actual swept frequency excitation signal is suitable for subsequent analysis, the voltage response data refers to the data of the voltage at the output end of the automobile emergency starting power supply or a specific test point changing with time or frequency after the swept frequency excitation signal is applied, the current response data refers to the data of the current flowing through the automobile emergency starting power supply changing with time or frequency after the swept frequency excitation signal is applied, the complex impedance refers to the impedance characteristics of the circuit under the action of the AC signal, and the complex impedance spectrum refers to a graph of the complex impedance changing with frequency, which shows the impedance characteristics of the power supply at different frequencies.

[0046] Optionally, the complex impedance spectrum of the automobile emergency starting power supply can be constructed according to the complex impedance using data analysis and drawing software, with frequency as the abscissa and the modulus and phase of the complex impedance as the ordinate to draw a complex impedance spectrum.

[0047] Further, the calculating the complex impedance of the automobile emergency starting power supply according to the voltage response data and the current response data includes: Determining the voltage amplitude and voltage phase angle of the automobile emergency starting power supply according to the voltage response data; Determining the current amplitude and current phase angle of the automobile emergency starting power supply through the current response data; Based on the voltage amplitude, the voltage phase angle, the current amplitude and the current phase angle, the complex impedance of the automobile emergency starting power supply is calculated using the following formula: ; in, Represents the complex impedance of the car emergency starting power supply, Indicates the voltage amplitude, represents the current amplitude, represents the voltage phase angle, represents the current phase angle, represents the cosine function, represents the sine function, Represents an imaginary unit.

[0048] The voltage amplitude refers to the maximum value of the voltage signal, the voltage phase angle refers to the phase offset of the voltage waveform relative to a reference point (usually the starting point of the current waveform or other signal), the current amplitude refers to the maximum value of the current signal, the current phase angle refers to the phase offset of the current waveform relative to a reference point (usually the starting point of the voltage waveform or other signal), and the imaginary unit refers to a special symbol used in complex number operations, which is .

[0049] The present invention can effectively extract the charge transfer resistance Rct and the double-layer capacitance Cdl of the automobile emergency starting power supply based on the complex impedance spectrum and the pre-trained optimized Cole-Cole model, thereby deeply analyzing the electrochemical performance of the power supply.

[0050] In detail, the charge transfer resistance Rct and the double-layer capacitance Cdl of the automobile emergency starting power supply are extracted according to the complex impedance spectrum using a pre-trained optimized Cole-Cole model, including: Defining initialization parameters of the optimized Cole-Cole model; Fitting the optimized Cole-Cole model according to the complex impedance spectrum and the initialization parameters to obtain a fitted Cole-Cole model; Constructing a fitting curve of the Cole-Cole model; Analyzing the convergence coefficient of the fitting curve; According to the convergence coefficient, the charge transfer resistance Rct and the double layer capacitance Cdl in the fitted Cole-Cole model are extracted.

[0051] Among them, the initialization parameters refer to the initial values ​​set for the model parameters before optimizing the Cole-Cole model fitting. These parameters include relaxation time constant (τ), relaxation distribution coefficient (α), resistance (R), Rct, Cdl, etc. The fitted Cole-Cole model refers to the Cole-Cole model adjusted by the optimization process, and its parameters can best describe the complex impedance spectrum data obtained in the experiment. The fitting curve refers to the curve generated according to the fitting Cole-Cole model. The convergence coefficient refers to an indicator that measures the degree of convergence of the fitting algorithm during the iteration process. The charge transfer resistance Rct refers to the resistance of the charge transfer process in the electrochemical reaction. The double layer capacitance Cdl refers to the ability of the double layer on the electrochemical interface to store charge.

[0052] In detail, the optimized Cole-Cole model refers to a model used to describe the impedance characteristics of the electrode reaction in the automobile emergency starting power supply. The optimized Cole-Cole model can better fit the experimental data, thereby more accurately reflecting the electrochemical behavior of the system.

[0053] S5. Based on the charge transfer resistance Rct, the double-layer capacitance Cdl, the voltage signal, the current waveform and the vibration spectrum data, determine the early warning mechanism of the automobile emergency starting power supply, and perform effective monitoring of the automobile emergency starting power supply based on the early warning mechanism.

[0054] The present invention determines the early warning mechanism of the automobile emergency starting power supply based on the charge transfer resistance Rct, the double-layer capacitance Cdl, the voltage signal, the current waveform and the vibration spectrum data, and can establish an automobile emergency starting power supply early warning system based on multi-source data, thereby improving the safety and reliability of the battery. The early warning mechanism refers to a set of systematic methods that use specific parameters and thresholds to monitor the state of the power supply and issue an alarm when a potential fault or performance degradation is detected. For example, when it is detected that the double-layer capacitance Cdl drops by more than 15% of the reference value and the charge transfer resistance Rct fluctuation coefficient is greater than 20%, the primary early warning is triggered; when the standard deviation of the voltage fluctuation at the end of charging exceeds 50mV, it is upgraded to a secondary early warning.

[0055] Compared with the problems described in the background technology, firstly, the introduction of the multi-source sensor array ensures the synchronous acquisition of voltage signals, current waveforms and vibration spectrum data, and provides rich data support for real-time monitoring of power supply performance. This multi-dimensional data acquisition not only improves the accuracy of fault detection, but also helps to discover potential overheating or electrical problems in advance. Secondly, through the dual-mode fusion technology, the PT100 signal is combined with the infrared image to obtain an accurate three-dimensional temperature field distribution, which makes the positioning of local hot spots more accurate, thereby providing an important basis for the thermal management of the power supply. Furthermore, the sweep frequency excitation signal synthesized by the digital direct frequency synthesis algorithm is combined with the optimized Cole-Cole model to effectively extract the charge transfer resistance Rct and the double-layer capacitance Cdl. The accurate measurement of these parameters provides a scientific basis for evaluating the health status of the battery and predicting its remaining service life. Finally, the early warning mechanism constructed based on these parameters realizes the effective monitoring of the emergency starting power supply of the automobile. The early warning mechanism can issue an alarm in time to guide users and maintenance personnel to take corresponding measures, thereby significantly reducing the risk of power failure, extending the service life of the power supply, and ensuring the safe operation of the vehicle. Therefore, the present invention improves the reliability and safety of vehicle starting.

[0056] Embodiment 2: like Figure 2 The figure shows a functional module diagram of an automobile emergency starting power supply monitoring system based on intelligent sensing according to the present invention.

[0057] The automobile emergency starting power supply monitoring system 200 based on intelligent sensing of the present invention can be installed in an electronic device. According to the functions to be implemented, the automobile emergency starting power supply monitoring system based on intelligent sensing can include a multivariate data acquisition module 201, a temperature sensing device configuration module 202, a local hot spot analysis module 203, a complex impedance spectrum analysis module 204 and a starting power supply detection module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0058] In the embodiment of the present invention, the functions of each module / unit are as follows: The multivariate data acquisition module 201 is used to construct a multi-source sensor array of the automobile emergency starting power supply, and to collect the voltage signal, current waveform and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array; The temperature sensing device configuration module 202 is used to construct a contact PT100 sensor and a non-contact infrared thermal imager of the automobile emergency starting power supply, and collect a PT100 signal and an infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager; The local hot spot analysis module 203 is used to perform dual-mode fusion of the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution, and analyze the local hot spot of the automobile emergency starting power supply according to the three-dimensional temperature field distribution; The complex impedance spectrum analysis module 204 is used to synthesize the swept frequency excitation signal of the automobile emergency starting power supply according to the local hot spot by using a preset digital direct frequency synthesis algorithm, analyze the complex impedance spectrum of the automobile emergency starting power supply based on the swept frequency excitation signal, and extract the charge transfer resistance Rct and double layer capacitance Cdl of the automobile emergency starting power supply according to the complex impedance spectrum by using a pre-trained optimized Cole-Cole model; The starting power supply detection module 205 is used to determine the early warning mechanism of the automobile emergency starting power supply based on the charge transfer resistance Rct, the double-layer capacitance Cdl, the voltage signal, the current waveform and the vibration spectrum data, and perform effective monitoring of the automobile emergency starting power supply based on the early warning mechanism.

[0059] In detail, each module in the automobile emergency starting power supply monitoring system 200 based on intelligent sensing in the embodiment of the present invention is used in the same manner as described above. Figure 1 The same technical means as the automobile emergency starting power supply monitoring method based on intelligent sensing described in the text and can produce the same technical effects are not repeated here.

[0060] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0061] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for monitoring an automobile emergency starting power supply based on intelligent sensing, characterized in that: The method comprises: Constructing a multi-source sensor array of an automobile emergency starting power supply, and collecting voltage signals, current waveforms, and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array; Constructing a contact PT100 sensor and a non-contact infrared thermal imager of the automobile emergency starting power supply, and collecting a PT100 signal and an infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager; Performing dual-mode fusion on the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution, and analyzing the local hot spots of the automobile emergency starting power supply according to the three-dimensional temperature field distribution; According to the local hot spot, a swept frequency excitation signal of the automobile emergency starting power supply is synthesized by using a preset digital direct frequency synthesis algorithm, and based on the swept frequency excitation signal, a complex impedance spectrum of the automobile emergency starting power supply is analyzed, and according to the complex impedance spectrum, a pre-trained optimized Cole-Cole model is used to extract the charge transfer resistance Rct and the double-layer capacitance Cdl of the automobile emergency starting power supply; Based on the charge transfer resistance Rct, the double-layer capacitance Cdl, the voltage signal, the current waveform and the vibration spectrum data, the early warning mechanism of the automobile emergency starting power supply is determined, and effective monitoring of the automobile emergency starting power supply is performed based on the early warning mechanism.

2. The method for monitoring an automobile emergency starting power supply based on intelligent sensing as claimed in claim 1, characterized in that: The collecting of the voltage signal, current waveform and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array includes: Configuring acquisition parameters of the DAQ acquisition unit corresponding to the multi-source sensor array; According to the acquisition parameters, the output voltage, output current and vibration data of the emergency starting power supply are acquired through the DAQ acquisition unit; Converting the output voltage, output current and vibration data into electrical signals to obtain voltage signals, current signals and vibration signals; Analyzing the current waveform of the emergency starting power supply according to the current signal; The vibration spectrum data of the emergency starting power supply is analyzed through the vibration signal.

3. The method for monitoring the emergency starting power supply of an automobile based on intelligent sensing as claimed in claim 2, characterized in that: The method of collecting the PT100 signal and infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager includes: Analyzing the thermally sensitive area of ​​the automobile emergency starting power supply; Integrating the contact PT100 sensor into the heat sensitive area, and calibrating the contact PT100 sensor to obtain a calibrated PT100 sensor; Collecting a PT100 signal of the automobile emergency starting power supply based on the calibrated PT100 sensor; Determining the coordinate position of the non-contact infrared thermal imager; Analyzing the imager field of view of the non-contact infrared thermal imager according to the coordinate position; Defining imager parameters of the non-contact infrared thermal imager according to the imager field of view; Based on the imager parameters, the non-contact infrared thermal imager is used to collect an infrared image of the automobile emergency starting power supply.

4. The method for monitoring an automobile emergency starting power supply based on intelligent sensing as claimed in claim 3, characterized in that: The analyzing the thermally sensitive area of ​​the automobile emergency starting power supply includes: Obtaining thermal test data of the automobile emergency starting power supply; Determining the heat source of the automobile emergency starting power supply; Gridding the automobile emergency starting power supply to obtain a power grid unit; Analyzing the unit hot spot temperature and power change rate of the power grid unit; Based on the heat source, the unit hot spot temperature and the power change rate, the transient thermal resistance of the power grid unit is calculated using the following formula: ； in, Indicates that the power grid unit is The transient thermal resistance at the moment, Indicates that the power grid unit is The unit hot spot temperature at time, Indicates that the power grid unit is The power of the cth heat source at the moment, represents the number of heat sources in the power grid cell, Indicates the ambient temperature corresponding to the power grid unit, represents the thermal inertia coefficient of the material, Indicates that the power grid unit is The power change rate at the moment; Based on the transient thermal resistance, a thermally sensitive area of ​​the automobile emergency starting power supply is determined.

5. The method for monitoring the emergency starting power supply of an automobile based on intelligent sensing as claimed in claim 4, characterized in that: The dual-mode fusion of the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution includes: Preprocessing the PT100 signal and the infrared image to obtain a processed PT100 signal and a processed infrared image; spatially registering the processed PT100 signal and the processed infrared image to obtain a registered PT100 signal and a registered infrared image; fusing the registered PT100 signal and the registered infrared image to obtain fused bimodal data; Constructing a three-dimensional power supply model of the automobile emergency starting power supply corresponding to the PT100 signal; The fused bimodal data is mapped to the three-dimensional model of the power supply to obtain the three-dimensional temperature field distribution.

6. The method for monitoring the automobile emergency starting power supply based on intelligent sensing as claimed in claim 5, characterized in that: The method of synthesizing the sweep frequency excitation signal of the automobile emergency starting power supply according to the local hot spot by using a preset digital direct frequency synthesis algorithm includes: Determining, according to the local hot spot, a component to be excited of the vehicle emergency starting power supply; Determined according to the excitation signal requirement of the component to be excited; Determining synthesis parameters of the digital direct frequency synthesis algorithm according to the excitation signal requirement; The frequency sweep excitation signal of the automobile emergency starting power supply is synthesized by using the synthesis parameters and the digital direct frequency synthesis algorithm.

7. The method for monitoring an automobile emergency starting power supply based on intelligent sensing as claimed in claim 6, characterized in that: The step of analyzing the complex impedance spectrum of the automobile emergency starting power supply based on the frequency sweeping excitation signal includes: Analyzing the frequency range of the swept frequency excitation signal; When the frequency range meets the preset frequency range threshold, obtaining response data of the automobile emergency starting power supply under the frequency sweep excitation signal, wherein the response data includes voltage response data and current response data; Calculating the complex impedance of the automobile emergency starting power supply according to the voltage response data and the current response data; According to the complex impedance, a complex impedance spectrum of the automobile emergency starting power supply is constructed.

8. The method for monitoring an automobile emergency starting power supply based on intelligent sensing as claimed in claim 7, characterized in that: The calculating the complex impedance of the automobile emergency starting power supply according to the voltage response data and the current response data includes: Determining the voltage amplitude and voltage phase angle of the automobile emergency starting power supply according to the voltage response data; Determining the current amplitude and current phase angle of the automobile emergency starting power supply through the current response data; Based on the voltage amplitude, the voltage phase angle, the current amplitude, and the current phase angle, the complex impedance of the automobile emergency starting power supply is calculated using the following formula: ； in, Represents the complex impedance of the car emergency starting power supply, Indicates the voltage amplitude, represents the current amplitude, represents the voltage phase angle, represents the current phase angle, represents the cosine function, represents the sine function, Represents an imaginary unit.

9. The method for monitoring an automobile emergency starting power supply based on intelligent sensing as claimed in claim 8, characterized in that: The method of extracting the charge transfer resistance Rct and the double-layer capacitance Cdl of the automobile emergency starting power supply by using a pre-trained optimized Cole-Cole model according to the complex impedance spectrum includes: Defining initialization parameters of the optimized Cole-Cole model; Fitting the optimized Cole-Cole model according to the complex impedance spectrum and the initialization parameters to obtain a fitted Cole-Cole model; Constructing a fitting curve of the Cole-Cole model; Analyzing the convergence coefficient of the fitting curve; According to the convergence coefficient, the charge transfer resistance Rct and the double layer capacitance Cdl in the fitted Cole-Cole model are extracted.

10. An automobile emergency starting power supply monitoring system based on intelligent sensing, characterized in that: The system comprises: A multivariate data acquisition module, used to construct a multi-source sensor array of an automobile emergency starting power supply, and to collect voltage signals, current waveforms, and vibration spectrum data of the emergency starting power supply based on the multi-source sensor array; A temperature sensing device configuration module is used to construct a contact PT100 sensor and a non-contact infrared thermal imager of the automobile emergency starting power supply, and to collect a PT100 signal and an infrared image of the automobile emergency starting power supply based on the contact PT100 sensor and the non-contact infrared thermal imager; A local hot spot analysis module is used to perform dual-mode fusion of the PT100 signal and the infrared image to obtain a three-dimensional temperature field distribution, and analyze the local hot spot of the automobile emergency starting power supply according to the three-dimensional temperature field distribution; A complex impedance spectrum analysis module, used to synthesize a swept frequency excitation signal of the automobile emergency starting power supply according to the local hot spot by using a preset digital direct frequency synthesis algorithm, analyze the complex impedance spectrum of the automobile emergency starting power supply based on the swept frequency excitation signal, and extract the charge transfer resistance Rct and double layer capacitance Cdl of the automobile emergency starting power supply according to the complex impedance spectrum by using a pre-trained optimized Cole-Cole model; The starting power supply detection module is used to determine the early warning mechanism of the automobile emergency starting power supply based on the charge transfer resistance Rct, the double-layer capacitance Cdl, the voltage signal, the current waveform and the vibration spectrum data, and perform effective monitoring of the automobile emergency starting power supply based on the early warning mechanism.

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