Vehicle-mounted battery installation health detection method, system and device and storage medium

Abstract

The invention belongs to the technical field of vehicle-mounted battery pack installation, and particularly relates to a vehicle-mounted battery installation health detection method, system and device and a storage medium, the vehicle-mounted battery installation health detection method comprises the following steps: collecting a dynamic inertia signal and a reference inertia signal of a vehicle-mounted battery pack in a vehicle driving process; processing the dynamic inertial signal and the reference inertial signal based on a data processing conversion method to obtain dynamic power spectral density data and reference power spectral density data; comparing the dynamic power spectral density data with the reference power spectral density data to obtain the health degree of the battery pack; and if the dynamic power spectral density data exceeds the preset threshold value of the reference power spectral density data, sending warning information to an interaction end.

Description

Background Art

[0002] In new energy vehicles, the battery pack is a key power source, and its stability and reliability directly affect the vehicle performance and safety. The stability of the connection between the battery pack and the vehicle body is an important prerequisite for providing a stable energy supply for the vehicle and ensuring that the vehicle can work while driving.

[0003] At present, many new energy vehicles use static detection methods, mainly to check the connection between the battery pack and the body during vehicle manufacturing and maintenance. This method cannot monitor the connection stability in real time during vehicle driving, and cannot promptly detect and warn of possible loose connections or abnormalities. Summary of the invention

[0004] In order to solve the above-mentioned problems existing in the prior art, the present application provides a method, system, device, medium and program product for detecting the health of vehicle-mounted battery installation.

[0005] The first aspect of the present application provides a method for detecting the installation health of a vehicle battery, comprising the following steps: Collect dynamic inertia signals and reference inertia signals of the on-board battery pack during vehicle driving; Processing the dynamic inertial signal and the reference inertial signal based on a data processing conversion method to obtain dynamic power spectrum density data and reference power spectrum density data; Comparing the dynamic power spectrum density data with the reference power spectrum density data to obtain the health of the battery pack; If the amplitude of the dynamic power spectrum density data exceeding the reference power spectrum density data is greater than a preset threshold, a warning message is sent to the interaction terminal.

[0006] In one embodiment, the data processing and conversion method of the dynamic inertial signal and the reference inertial signal includes: Set up continuous time windows without gaps, each of which has a certain length of time; When it is determined that the time length of the dynamic inertial signal and the reference inertial signal collected in real time reaches a time window, the dynamic inertial signal and the reference inertial signal in the time window are pre-processed, and the dynamic inertial signal and the reference inertial signal in the next time window are continuously collected in real time; Power spectrum density analysis is performed based on the above preprocessing results to obtain the dynamic data and the reference data. In one embodiment, the preprocessing method comprises: removing noises of the dynamic inertial signal and the reference inertial signal by using a low-pass filter or a band-pass filter to obtain the dynamic inertial signal and the reference inertial signal that are smooth and within a specific frequency range; The dynamic inertial signal is adjusted to be consistent with the reference inertial signal in terms of amplitude and phase.

[0007] In one embodiment, the power spectral density analysis includes: Processing the dynamic inertial signal and the reference inertial signal based on Fourier transform to obtain dynamic spectrum data of the dynamic inertial signal and reference spectrum data of the reference data; The corresponding power spectrum density is calculated based on the dynamic spectrum data and the reference spectrum data to obtain dynamic power spectrum density data and reference power spectrum density data.

[0008] In one embodiment, the reference inertial signal is collected by a reference sensor device disposed at the center of the bottom of the vehicle body.

[0009] In one embodiment, the dynamic inertial signal is collected by dynamic sensing devices disposed at the four corners of the vehicle-mounted battery pack.

[0010] In one embodiment, the interactive terminal includes a vehicle main display screen, and the warning information includes voice information, or / and light information, or / and text information, or / and image information; The voice information is used to issue a warning tone for the health of the battery pack; The light information is used to display the warning light of the battery pack health; The text information is used to display a text pop-up window of the battery pack health status on the operation interface of the vehicle main display screen; The image information is used to display a warning symbol or a warning pattern on the operation interface of the vehicle main display screen.

[0011] A second aspect of the present application provides a vehicle-mounted battery installation health detection system, comprising: A collection unit, used to collect dynamic inertia signals and reference inertia signals of the on-board battery pack during vehicle driving; A processing unit, configured to process the dynamic inertial signal and the reference inertial signal based on a data processing conversion method to obtain dynamic data and reference data; A comparison unit, used for comparing the dynamic data with the benchmark data to obtain the health of the battery pack; The feedback unit sends a warning message to the interactive terminal if the dynamic data exceeds a preset threshold of the benchmark data.

[0012] The third aspect of the present application provides an electronic device, comprising: a memory for storing instructions executed by one or more processors of the electronic device, and a processor, which is one of the processors of the electronic device, used for the above-mentioned method for detecting the installation health of a vehicle battery.

[0013] A fourth aspect of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the above-mentioned vehicle-mounted battery installation health detection method.

[0014] The beneficial effects of this application over the prior art are: By acquiring the baseline inertia signal of the vehicle during driving and the dynamic inertia signal of the battery pack, obtaining the baseline power spectrum density data and the dynamic power spectrum density data through data processing, and comparing the dynamic power spectrum density data with the baseline power spectrum density data, it is possible to judge the health of the connection between the battery pack and the vehicle body during driving and detect the battery pack in time; among them, the baseline inertia signal is collected in real time during the driving of the vehicle, which can more accurately judge the health of the battery pack and transmit the warning information to the interactive end to warn the people in the car. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 According to an embodiment of the present application, a flow chart of a method for detecting the health of vehicle-mounted battery installation is shown.

[0017] Figure 2 According to an embodiment of the present application, a flow chart of a data processing conversion method is shown.

[0018] Figure 3 According to an embodiment of the present application, a schematic flow chart of a preprocessing method is shown.

[0019] Figure 4 According to an embodiment of the present application, a schematic diagram of a process of power spectral density analysis is shown.

[0020] Figure 5 According to an embodiment of the present application, a schematic diagram of analyzing a full-time frequency domain signal is shown.

[0021] Figure 6 for Figure 5 A partial enlarged schematic diagram of .

[0022] Figure 7 According to an embodiment of the present application, a schematic diagram of analyzing the power spectrum density at a frequency of 10-20 Hz is shown.

[0023] Figure 8 According to an embodiment of the present application, a schematic diagram of analyzing the power spectrum density at a frequency of 20-30 Hz is shown.

[0024] Fig. 9 According to an embodiment of the present application, a structural schematic diagram of a vehicle-mounted battery installation health detection system is shown.

[0025] Fig.10 According to an embodiment of the present application, a structural schematic diagram of a vehicle-mounted battery installation health detection device is shown.

[0026] Fig.11 According to an embodiment of the present application, a schematic diagram of the structure of a computer-readable storage medium is shown. DETAILED DESCRIPTION

[0027] The following describes the implementation methods of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in the present application. The present application can also be implemented or applied through other different specific implementation methods, and the details in the present application can also be modified or changed in various ways according to different viewpoints and application systems without departing from the spirit of the present application. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0028] The following is a detailed description of the embodiments of the present application with reference to the accompanying drawings so that those skilled in the art can easily implement the present application. The present application can be embodied in a variety of different forms and is not limited to the embodiments described herein.

[0029] In the representations of the present application, the representations with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials or characteristics represented in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the represented specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples represented in the present application and the features of the different embodiments or examples, unless they contradict each other.

[0030] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the representation of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0031] In order to clearly describe the present application, components irrelevant to the description are omitted, and the same reference symbols are given to the same or similar components throughout the specification.

[0032] Throughout the specification, when a device is said to be "connected" to another device, this includes not only the case of "direct connection" but also the case of "indirect connection" by placing other elements therebetween. In addition, when a device is said to "include" a certain component, unless otherwise stated, it does not exclude other components, but means that other components may be included.

[0033] When a device is said to be "on" another device, it may be directly on the other device, but there may also be other devices between it. In contrast, when a device is said to be "directly" on another device, there are no other devices between it.

[0034] Although the terms first, second, etc. are used to represent various elements in some examples, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, the first interface and the second interface, etc. are represented. Moreover, as used in this article, the singular forms "one", "one" and "the" are intended to also include plural forms, unless there is an opposite indication in the context. It should be further understood that the terms "comprising" and "including" indicate the existence of features, steps, operations, elements, components, projects, kinds, and / or groups, but do not exclude the existence, occurrence or addition of one or more other features, steps, operations, elements, components, projects, kinds, and / or groups. The terms "or" and "and / or" used herein are interpreted as inclusive, or mean any one or any combination. Therefore, "A, B or C" or "A, B and / or C" means "any of the following: A; B; C; A and B; A and C; B and C; A, B and C". Only when the combination of elements, functions, steps or operations is inherently mutually exclusive in some way, will there be an exception to this definition.

[0035] The technical terms used herein are only used to refer to specific embodiments and are not intended to limit the present application. The singular form used herein also includes the plural form unless the sentence clearly indicates the contrary meaning. The meaning of "including" used in the specification is to specify specific characteristics, regions, integers, steps, operations, elements and / or components, and does not exclude the existence or addition of other characteristics, regions, integers, steps, operations, elements and / or components.

[0036] Although not defined differently, all terms, including technical and scientific terms used herein, have the same meaning as those generally understood by those skilled in the art to which this application belongs. Terms defined in commonly used dictionaries are additionally interpreted as having meanings consistent with the relevant technical literature and the contents of the current disclosure, and unless defined, shall not be overly interpreted as ideal or very formal meanings.

[0037] Technical explanation: In the present invention, the vehicle battery installation health refers to the health of the stable connection between the vehicle battery pack and the vehicle body, specifically whether the connection between the battery pack and the vehicle body remains stable and reliable during driving. The health of the connection between the battery pack and the vehicle body is crucial to prevent the battery pack from being displaced or damaged due to vibration, impact, etc. during driving.

[0038] In view of the fact that the existing technology cannot detect the health of the connection between the battery pack and the vehicle body in a moving state, a method is proposed to obtain the baseline inertia signal of the vehicle during driving and the dynamic inertia signal of the battery pack, and obtain the baseline power spectrum density data and the dynamic power spectrum density data through data processing. The dynamic power spectrum density data is compared with the baseline power spectrum density data. It can judge the health of the connection between the battery pack and the vehicle body during driving, timely discover the health of the battery pack installation, and feedback the warning information to the interactive end. like Figure 1 As shown, in some embodiments of the present application, a method for detecting the health of a vehicle-mounted battery installation includes: Step 110: Collect the dynamic inertial signal and reference inertial signal of the on-board battery pack during the driving process of the vehicle; wherein the dynamic inertial signal includes a dynamic high-frequency acceleration signal and a dynamic angular velocity signal, and the reference inertial signal includes a reference high-frequency acceleration signal and a reference angular velocity signal. It can be understood that the dynamic high-frequency acceleration signal and the dynamic angular velocity signal are real-time data generated by the battery pack during the actual driving process of the vehicle, and these data reflect the dynamic changes of the battery pack under different driving conditions. For example, when the vehicle accelerates, decelerates or turns, the battery pack will be affected by different accelerations and angular velocities, and these effects will be reflected through dynamic signals; the reference high-frequency acceleration signal and the reference angular velocity signal are the comparison benchmarks of the high-frequency acceleration signal and angular velocity signal of the battery pack. By comparing with the dynamic signal, the health of the battery pack can be evaluated, providing a basis for subsequent analysis and comparison.

[0039] Step 120: Based on the data processing conversion method, the dynamic inertial signal and the reference inertial signal are processed to obtain dynamic power spectrum density data and reference power spectrum density data; specifically, the dynamic power spectrum density data includes dynamic high-frequency acceleration data and dynamic angular velocity data, wherein the dynamic high-frequency acceleration data is data extracted and processed from the dynamic high-frequency acceleration signal. These data can show the acceleration changes of the battery pack under different driving conditions, such as acceleration, deceleration, bumps, etc.; the dynamic angular velocity data is data extracted and processed from the dynamic angular velocity signal, which can show the angular velocity changes of the battery pack when the vehicle turns or other rotational movements. The reference power spectrum density data includes reference high-frequency acceleration data and reference angular velocity data, wherein the reference high-frequency acceleration data is data extracted and processed from the reference high-frequency acceleration signal, and the reference angular velocity data is data extracted and processed from the reference angular velocity signal.

[0040] Step 130: Compare the dynamic power spectrum density data with the benchmark power spectrum density data to obtain the health of the battery pack; it can be understood that the dynamic power spectrum density data and the benchmark power spectrum density data are numerically compared at the same time point to determine the relationship between the dynamic power spectrum density data and the benchmark power spectrum density data.

[0041] Step 140: If the amplitude of the dynamic power spectrum density data exceeding the benchmark power spectrum density data is greater than the preset threshold, a warning message is sent to the interactive end; wherein the warning message includes voice information, or / and, light information, or / and, text information, or / and, image information; the voice information is used to emit a warning sound for the health of the battery pack; the light information is used to display the warning light for the healthy installation of the battery pack; the text information is used to display a text pop-up window for the health of the battery pack on the operating interface of the vehicle main display screen; the image information is used to display a warning symbol or warning pattern on the operating interface of the vehicle main display screen. It can be understood that when the dynamic data exceeds the preset threshold of the benchmark data, it means that there is a problem with the health of the vehicle battery pack, and a warning message needs to be issued to alert the people in the vehicle. The specific embodiments of the above steps 110 to 140 will be further explained below: In the above embodiment, in the aforementioned step 110, the reference inertial signal is collected by a reference sensing device arranged at the center of the bottom of the vehicle body, and the dynamic inertial signal is collected by a dynamic sensing device arranged at the four corners of the vehicle-mounted battery pack. Specifically, the reference sensing device includes a reference accelerometer for collecting a reference high-frequency acceleration signal, and a reference gyroscope for collecting a reference angular velocity signal, and the dynamic sensing device includes a dynamic accelerometer for collecting a dynamic acceleration signal, and a dynamic gyroscope for collecting a dynamic angular velocity signal. In this embodiment, based on the installation mode of the battery pack, a group of dynamic accelerometers and dynamic gyroscopes are respectively installed at the four corners of the battery pack to collect the inertial signal between the battery pack and the vehicle during the driving process of the vehicle; the reference accelerometer and reference gyroscope arranged at the bottom of the vehicle body are used to collect the dynamic reference data of the vehicle during driving in real time, so as to improve the accuracy of dynamic data comparison during the driving process of the vehicle.

[0042] Through the above steps 110 to 140, in the technical solution provided by the present disclosure, in this embodiment, by obtaining the baseline inertia signal and the dynamic inertia signal of the battery pack during the driving of the vehicle, obtaining the baseline power spectrum density data and the dynamic power spectrum density data through data processing, and comparing the dynamic power spectrum density data with the baseline power spectrum density data, it is possible to judge the health of the connection between the battery pack and the vehicle body during the driving of the vehicle, and promptly discover the problems of the installation health of the battery pack; wherein, the baseline inertia signal is collected in real time during the driving of the vehicle, which can more accurately judge the health of the battery pack, and transmit the warning information to the interactive end to warn the people in the vehicle.

[0043] In some embodiments of the present disclosure, Figure 2 FIG. 1 is a flow chart showing a method for data processing and conversion of a dynamic inertial signal and a reference inertial signal in step 120 provided in the above embodiment; Figure 2 As shown, the data processing and conversion method of the dynamic inertial signal and the reference inertial signal includes: Step 121: Set continuous time windows without intervals, each time window has a certain time length; specifically, the time length of the time window in this embodiment is 10 seconds. When the real-time collection of dynamic inertial signals and reference inertial signals reaches 10 seconds, the data collection of a time window is completed, and the data in the time window is collected, and the data collection of the next time window is continued; the segmented processing provided in this embodiment can quickly detect anomalies and reduce fault time. The segmented processing of time windows facilitates storage and analysis. Step 122: When it is determined that the time length of the real-time collected dynamic inertial signal and the reference inertial signal reaches a time window, the dynamic inertial signal and the reference inertial signal in the time window are preprocessed, and the dynamic inertial signal and the reference inertial signal in the next time window are continuously collected in real time; it can be understood that while analyzing each dynamic inertial signal and the reference inertial signal that reach the time window, the dynamic inertial signal and the reference inertial signal of the next time window are collected, which can reduce the performance pressure of the system on the data, while maintaining the real-time analysis of the moving vehicle, so as to quickly find problems.

[0044] Step 123: Perform power spectrum density analysis based on the above preprocessing results to obtain dynamic data and benchmark data. The specific embodiments of the above steps 121 to 123 are further described below: Through the above steps 121 to 123, in the technical solution provided by the present disclosure, the real-time collected dynamic inertial signal and the reference inertial signal are separated by continuous time windows. After the collected data reaches a time window, the data in the time window is processed, and the data collection for the next time window is maintained. The data processing method in this embodiment can facilitate timely discovery of the stable health of the connection between the battery pack and the vehicle body during vehicle driving, and the segmented processing of the data can reduce the pressure of vehicle computer data processing.

[0045] In some embodiments of the present disclosure, Figure 3 FIG. 1 is a flow chart showing a preprocessing method in step 122 provided in the above embodiment; Figure 3 As shown, the preprocessing method includes: Step 122a: removing noise from the dynamic inertial signal and the reference inertial signal by a low-pass filter or a band-pass filter to obtain a smooth dynamic inertial signal and a reference inertial signal within a specific frequency range; in this embodiment, the dynamic inertial signal includes dynamic high-frequency acceleration data and dynamic angular velocity data, and the reference inertial signal includes reference high-frequency acceleration data and reference angular velocity data; the low-pass filter is used to remove high-frequency noise to obtain a smooth dynamic high-frequency acceleration signal, a smooth dynamic angular velocity signal, a smooth reference high-frequency acceleration signal, and a smooth reference angular velocity signal, and the band-pass filter is used to retain the smooth dynamic high-frequency acceleration signal, the smooth dynamic angular velocity signal, the smooth reference high-frequency acceleration signal, and the smooth reference angular velocity signal within a specific frequency range.

[0046] Step 122b: Adjust the dynamic inertial signal to make it consistent with the reference inertial signal in terms of amplitude and phase. It is understandable that the amplitude and phase of the dynamic inertial signal are adjusted to match the reference inertial signal for subsequent comparison.

[0047] Through step 122a and step 122b, in the technical solution provided by the present disclosure, a smooth signal within a specific frequency range is obtained through denoising, providing a higher quality smooth dynamic high-frequency acceleration signal, a smooth dynamic angular velocity signal, a smooth reference high-frequency acceleration signal, and a smooth reference angular velocity signal for subsequent data processing and analysis; then the dynamic inertial signal and the reference inertial signal are adjusted to match each other in amplitude and phase, providing a consistent data basis for subsequent comparison and analysis. The consistency of the dynamic inertial signal and the reference inertial signal in amplitude and phase is ensured after preprocessing, thereby improving the accuracy and reliability of subsequent data comparison.

[0048] In some embodiments of the present disclosure, Figure 4 FIG. 4 shows a schematic flow chart of a power spectrum density analysis in step 123 provided in the above embodiment; Figure 4 As shown, the power spectral density analysis includes: Step 123a: Process the dynamic inertial signal and the reference inertial signal based on Fourier transform to obtain dynamic spectrum data of the dynamic inertial signal and reference spectrum data of the reference inertial signal. Specifically, the data after Fourier transform in this embodiment is as follows: Dynamic high-frequency acceleration spectrum data: A( ) = FFT(a( )) Dynamic angular velocity spectrum data: Ω( ) = FFT(ω( )) Benchmark high-frequency acceleration spectrum data: A( ) = FFT(a( )) Reference angular velocity spectrum data: Ω( ) = FFT(ω( )) Among them, FFT is Fourier transform.

[0049] a( ) is the dynamic high-frequency acceleration data.

[0050] ω( ) is the dynamic angular velocity data.

[0051] a( ) is the benchmark high-frequency acceleration data.

[0052] ω( ) is the reference angular velocity data.

[0053] Step 123b: Calculate the corresponding power spectrum density based on the dynamic spectrum data and the reference spectrum data to obtain dynamic power spectrum density data and reference power spectrum density data. Specifically, the power spectrum density is calculated as follows: Dynamic high-frequency acceleration power spectrum density data: PSD_A( ) = |A( )|^2 / T Dynamic angular velocity power spectrum density data: PSD_Ω( ) = |Ω( )|^2 / T Benchmark high-frequency acceleration power spectrum density data: PSD_A( ) = |A( )|^2 / T Baseline angular velocity power spectrum density data: PSD_Ω( ) = |Ω( )|^2 / T Where T is the length of the time window.

[0054] The combined power spectral density is as follows: Dynamic power spectral density data: PSDtotal( ) = PSD_A( )+ PSD_Ω( ) Benchmark power spectral density data: PSDtotal( ) = PSD_A( )+ PSD_A( ) Through step 123a and step 123b, in the technical solution provided in the present disclosure, dynamic power spectrum density data and benchmark power spectrum density data are obtained by a power spectrum density analysis method, and a spectrum density diagram is drawn based on the dynamic power spectrum density data and the benchmark power spectrum density data to facilitate result presentation.

[0055] In some embodiments of the present disclosure, in the aforementioned step 140, the interactive end includes the main display screen of the vehicle machine, or / and, a mobile terminal APP, which is convenient for people in the cockpit to view or view through the mobile APP; in this embodiment, the warning information is saved to the cloud for subsequent viewing at any time. It can be understood that the warning information is sent to the main display screen of the vehicle machine and the mobile terminal APP in real time, so that the user can understand the health status of the connection between the battery pack and the vehicle body at the first time whether in the car or through the mobile device, which improves the convenience of obtaining the health information of the battery pack; various forms of warning information not only enhance the warning effect, but also improve the overall experience of the user; voice warnings allow the driver to receive important information without diverting his sight, while light, text and image warnings provide passengers with a more intuitive way of information transmission; the warning information is stored in the cloud to ensure the security of the data, and facilitate subsequent data analysis and tracing. Users or maintenance manufacturers can view historical warning information to understand the changing trend of the health status of the battery pack and conduct long-term health management. The present invention not only improves the practicality and effectiveness of the detection method of the health of the vehicle-mounted battery installation through a multi-level and multi-form warning system, but also provides users with a safer and more convenient use experience.

[0056] Figure 5 A full-time frequency domain signal analysis diagram is shown. Specifically, Figure 5 As shown, IMU-0 is the benchmark power spectrum density data, IMU-1 is the dynamic power spectrum density data when the battery pack is in a fully fixed state, and IMU-2 is the dynamic power spectrum density data when the battery pack is in a semi-fixed state. Figure 6 Shows Figure 5 A partial enlarged view, combined with Figure 5 and Figure 6 As shown, it can be known that in the low-frequency signal area less than 1 Hz, the vibration energy of each sensor is consistent, while in the 10 Hz to 30 Hz range, the difference caused by looseness is very obvious. Therefore, in the above step 122a, the dynamic high-frequency acceleration data, dynamic angular velocity data, reference high-frequency acceleration data and reference angular velocity data are denoised, and the data in the 10 Hz to 30 Hz frequency range is retained.

[0057] Figure 7 The figure shows the power spectrum density analysis diagram when the data frequency is (10~20) Hz and the battery pack is connected to the vehicle body in different states during vehicle driving. Among them, IMU-0 is the benchmark power spectrum density data, IMU-1 is the dynamic power spectrum density data when the battery pack is in a fully fixed state, and IMU-2 is the dynamic power spectrum density data when the battery pack is in a semi-fixed state. Figure 8The figure shows the power spectrum density analysis diagram when the battery pack is connected to the vehicle body in different states when the data frequency is (20~30) Hz during vehicle driving. Among them, IMU-0 is the reference power spectrum density data, IMU-1 is the dynamic power spectrum density data when the battery pack is in a fully fixed state, and IMU-2 is the dynamic power spectrum density data when the battery pack is in a semi-fixed state. Figure 7 and Figure 8 It can be clearly seen from the curve in the figure that there are problems with the health of the connection between the battery pack and the vehicle body in the IMU-2 state.

[0058] The method for detecting the health of a vehicle-mounted battery pack provided by the present invention can compare the real-time dynamic vibration signal of the battery pack with the real-time reference vibration signal during the driving of the vehicle, and can accurately analyze the connection status between the battery pack and the vehicle body through specific vibration frequency comparison; by segmented processing of real-time data, the performance occupancy of the vehicle-mounted processor can be reduced, and the timeliness of detection feedback can be improved.

[0059] In some embodiments of the present disclosure, Fig. 9 A schematic diagram of the structure of a vehicle battery installation health detection system is provided. Fig. 9 As shown, the vehicle battery installation health detection system is used to implement the vehicle battery installation health detection method provided in the above embodiment, which may specifically include: The acquisition unit 501 is used to acquire the dynamic inertia signal and the reference inertia signal of the vehicle battery pack during the driving process of the vehicle.

[0060] The processing unit 502 is used to process the dynamic inertial signal and the reference inertial signal based on a data processing conversion method to obtain dynamic data and reference data.

[0061] The comparison unit 503 is used to compare the dynamic data with the benchmark data to obtain the health of the battery pack.

[0062] The feedback unit 504 sends a warning message to the interactive terminal if the amplitude of the dynamic data exceeding the reference data is greater than a preset threshold.

[0063] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods or program products. Therefore, various aspects of the present disclosure may be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software, which may be collectively referred to herein as "circuits", "modules" or "platforms".

[0064] Specifically, Fig.10 According to an embodiment of the present disclosure, a structural schematic diagram of a cabin health monitoring device is shown. Fig.10 The electronic device 600 according to this embodiment of the present disclosure is described. Fig.10 The electronic device 600 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0065] like Fig.10 As shown, the electronic device 600 is in the form of a general computing device. The components of the electronic device 600 may include but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, etc.

[0066] The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present disclosure. For example, the processing unit 610 can perform the following steps: Figure 1 The relevant steps of the vehicle battery installation health detection method shown in .

[0067] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access memory (RAM) 6201 and / or a cache memory unit 6202 , and may further include a read-only memory unit (ROM) 6203 .

[0068] The storage unit 620 may also include a program / utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0069] Bus 630 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0070] The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 600, and / or may communicate with any device that enables the electronic device 600 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 650. In addition, the electronic device 600 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via a bus 630. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, etc.

[0071] The embodiment of the present disclosure also provides a computer-readable storage medium for storing a program, and the steps of the vehicle battery installation health detection method are implemented when the program is executed. In some possible implementations, various aspects of the present disclosure can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary implementations of the present disclosure described in the above-mentioned copywriting generation method section of this specification.

[0072] Specifically, Fig.11 According to an embodiment of the present disclosure, a schematic diagram of the structure of a computer-readable storage medium is shown. Fig.11 As shown, a program product 800 for implementing the above-mentioned vehicle battery installation health detection method according to an embodiment of the present disclosure is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto. In this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus or a device.

[0073] The program product may adopt any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0074] Computer readable storage media may include data signals propagated in baseband or as part of a carrier wave, in which readable program codes are carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

[0075] The program code for executing the specific implementation operations of the vehicle battery installation health detection method provided by the aforementioned embodiments of the present disclosure can be written in any combination of one or more programming languages, and the programming language includes object-oriented programming languages ​​such as Java, C++, etc., and also includes conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0076] In summary, through the technical solution provided by the present invention, by obtaining the baseline data of the vehicle during driving and the dynamic data of the battery pack, wherein the baseline data is collected in real time during the vehicle driving and compared with the dynamic data, the health of the battery pack can be judged more accurately, and the warning information can be transmitted to the interactive end to warn the people in the vehicle.

[0077] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A method for detecting the health of vehicle-mounted battery installation, characterized in that: The steps include: Collect dynamic inertia signals and reference inertia signals of the on-board battery pack during vehicle driving; Processing the dynamic inertial signal and the reference inertial signal based on a data processing conversion method to obtain dynamic power spectrum density data and reference power spectrum density data; Comparing the dynamic power spectrum density data with the reference power spectrum density data to obtain the health of the battery pack; If the amplitude of the dynamic power spectrum density data exceeding the reference power spectrum density data is greater than a preset threshold, a warning message is sent to the interaction terminal.

2. The method for detecting the health of vehicle-mounted battery installation as claimed in claim 1, characterized in that: The data processing and conversion method of the dynamic inertial signal and the reference inertial signal comprises: Set up continuous time windows without gaps, each of which has a certain length of time; When it is determined that the time length of the dynamic inertial signal and the reference inertial signal collected in real time reaches a time window, the dynamic inertial signal and the reference inertial signal in the time window are pre-processed, and the dynamic inertial signal and the reference inertial signal in the next time window are continuously collected in real time; Power spectrum density analysis is performed based on the above preprocessing results to obtain the dynamic power spectrum density data and the reference power spectrum density data.

3. The method for detecting the health of vehicle-mounted battery installation as claimed in claim 2, characterized in that: The pretreatment method comprises: Removing noise from the dynamic inertial signal and the reference inertial signal by using a low-pass filter or a band-pass filter to obtain smooth dynamic inertial signal and reference inertial signal within a specific frequency range; The dynamic inertial signal is adjusted to be consistent with the reference inertial signal in terms of amplitude and phase.

4. The method for detecting the health of vehicle-mounted battery installation as claimed in claim 3, characterized in that: The power spectral density analysis includes: Processing the dynamic inertial signal and the reference inertial signal based on Fourier transform to obtain dynamic spectrum data of the dynamic inertial signal and reference spectrum data of the reference data; The corresponding power spectrum density is calculated based on the dynamic spectrum data and the reference spectrum data to obtain dynamic power spectrum density data and reference power spectrum density data.

5. The method for detecting the health of vehicle-mounted battery installation as claimed in claim 1, characterized in that: The reference inertial signal is collected by a reference sensor device arranged at the center of the bottom of the vehicle body.

6. The method for detecting the health of vehicle-mounted battery installation as claimed in claim 1, characterized in that: The dynamic inertial signal is collected by dynamic sensing devices arranged at the four corners of the vehicle-mounted battery pack.

7. The method for detecting the health of vehicle-mounted battery installation as claimed in claim 1, characterized in that: The interactive terminal includes a main display screen of the vehicle, and the warning information includes voice information, or / and light information, or / and text information, or / and image information; The voice information is used to issue a warning tone for the health of the battery pack; The light information is used to display the warning light of the battery pack health; The text information is used to display a text pop-up window of the battery pack health status on the operation interface of the vehicle main display screen; The image information is used to display a warning symbol or a warning pattern on the operation interface of the vehicle main display screen.

8. A vehicle-mounted battery installation health detection system, characterized in that: include: A collection unit, used to collect dynamic inertia signals and reference inertia signals of the on-board battery pack during vehicle driving; A processing unit, configured to process the dynamic inertial signal and the reference inertial signal based on a data processing conversion method to obtain dynamic data and reference data; A comparison unit, used for comparing the dynamic data with the benchmark data to obtain the health of the battery pack; The feedback unit sends a warning message to the interactive terminal if the dynamic data exceeds a preset threshold of the benchmark data.

9. An electronic device, characterized in that: include: A memory for storing instructions executed by one or more processors of an electronic device, and a processor, which is one of the processors of the electronic device, for executing the vehicle battery installation health detection method described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method for detecting the installation health of a vehicle-mounted battery according to any one of claims 1 to 7.

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