A method and system for intelligently adjusting the voltage of an audio battery

Abstract

The present invention relates to the field of battery voltage regulation, and more specifically, to an intelligent regulation method and system for audio battery voltage. The method comprises: collecting a battery voltage data sequence according to a preset sampling interval; obtaining an observation window at any sampling time, performing differentiation on the battery voltage data in the observation window, obtaining an extreme point sequence, and calculating a first correction factor of the observation window according to the extreme point sequence; calculating a second correction factor according to the battery voltage data in the observation window; correcting the original power law approaching parameter using the first correction factor and the second correction factor, obtaining a power law approaching parameter correction value, and regulating the battery voltage through sliding film control. The technical solution of the present invention can improve the accuracy of battery voltage regulation.

Description

Technical Field

[0001] The present invention relates to the field of battery voltage regulation, and more specifically, to a method and system for intelligently regulating the voltage of an audio battery. Background Art

[0002] As the core energy source of portable audio equipment, the stability and efficient management of batteries are crucial to ensure the performance of audio equipment. Batteries in audio equipment are usually required to provide stable voltage output under different loads and usage conditions. However, the voltage of the battery will change with power consumption, temperature changes, and the increase of usage time. These changes may affect the performance of the audio equipment and may even cause deterioration of sound quality or damage to the equipment. In order to ensure the best performance of portable audio equipment, it is necessary to comprehensively consider the load management of the battery, the power management scheme, and the performance and maintenance of the battery itself. By adopting advanced power management technology and battery technology, the impact of voltage fluctuations on sound quality can be minimized, providing a longer-lasting and more reliable audio experience.

[0003] The existing Chinese patent application document with publication number CN118412920A discloses a fuzzy sliding mode control method for incorporating hydrogen fuel cells into a power grid. The method constructs a microgrid power generation system including a hydrogen fuel cell; the output voltage of the hydrogen fuel cell model is boosted by a boost circuit and then enters the DC / AC converter for inversion, and the inverted load current is input into the fuzzy sliding mode module. According to the set sliding mode surface, sliding mode approach rate and fuzzy rules, the fuzzy sliding mode module outputs a control voltage, which is input into a PWM module, and the PWM module outputs a control signal, which controls the switching state of the DC / AC converter.

[0004] However, the audio battery voltage data will be affected by the workload, and the audio battery voltage data will fluctuate, resulting in inaccurate setting of the power reaching law parameters in the sliding mode control, affecting the response rate of the sliding mode control, and ultimately leading to inaccurate battery voltage regulation results. Summary of the invention

[0005] In order to solve the problem of inaccurate sliding mode control results, the present invention proposes an audio battery voltage intelligent adjustment method and system.

[0006] In a first aspect, the present invention discloses an intelligent adjustment method for an audio battery voltage, comprising: collecting a battery voltage data sequence according to a preset sampling interval; obtaining an observation window at any sampling time, differentiating the battery voltage data in the observation window to obtain an extreme point sequence, and calculating a first correction factor of the observation window according to the extreme point sequence; calculating a second correction factor according to the battery voltage data in the observation window; correcting original power-law reaching parameters using the first correction factor and the second correction factor to obtain power-law reaching parameter correction values, and regulating the battery voltage through sliding mode control.

[0007] By extracting the observation window at any sampling moment and performing differential processing on the data in the window, the extreme point sequence of voltage change can be effectively identified, which provides a basis for calculating the first correction factor. The first correction factor reflects the local fluctuation characteristics of the battery voltage and helps to capture subtle change trends. By analyzing the voltage data of the entire observation window, the second correction factor is calculated, which involves a wider range of voltage changes and can reveal the overall change trend of battery performance. The battery voltage is regulated in real time using sliding mode control to ensure that the battery works in the best condition.

[0008] Preferably, the acquisition of the observation window of any sampling moment includes: taking multiple consecutive historical sampling moments as historical sampling intervals, the historical sampling intervals are before any sampling moment and are continuous with any sampling moment, and the length of the historical sampling intervals is a preset length; and taking the corresponding historical sampling intervals as the observation window.

[0009] Preferably, the method of obtaining the observation window of any sampling moment also includes: grading the audio signal; obtaining a preset number of historical sampling moments, wherein the audio signal at each historical sampling moment has the same level as the audio signal at any sampling moment; and using the preset number of historical sampling moments as the observation window.

[0010] Preferably, the first correction factor includes: calculating the average accumulated value of the first-order differences of the extreme point sequence, and taking the normalized average accumulated value as the first correction factor.

[0011] Preferably, the first correction factor also satisfies the relationship:

[0012] , represents the first correction factor, represents the total number of extreme points, represents the observation window length, Indicates The value of the extreme point, Indicates The value of the extreme point, represents the hyperbolic tangent function, Represents an exponential function.

[0013] The first correction factor reflects the slight fluctuations in the battery voltage within the observation window, which may be caused by dynamic processes inside the battery or external load changes. The formula weights the rate of voltage change through the nonlinear characteristics of the hyperbolic tangent function, so that the contribution of rapidly changing voltages to the correction factor is greater than that of slowly changing voltages, while the introduction of the exponential function ensures that the correction factor can reflect the cumulative effect of voltage changes in a smooth manner. The observation window length ensures that the correction factor takes into account the background of voltage changes within the entire observation window, while the total number of extreme points allows the correction factor to be adjusted according to the number of extreme points, reflecting the frequency of voltage changes.

[0014] Preferably, the second correction factor includes: taking the range of the battery voltage data in the observation window as the first range; calculating the mean of the battery voltage data in the observation window, and removing the maximum battery voltage data and the minimum battery voltage data with the largest difference from the mean, obtaining a new observation window, and taking the range of the battery voltage data in the new observation window as the second range; the second correction factor satisfies the relationship:

[0015] , represents the second correction factor, represents the first extreme, Indicates the second extreme, represents the hyperbolic tangent function.

[0016] The second correction factor reveals the discreteness and fluctuation range of the battery voltage data, and is an important indicator of battery voltage stability. By eliminating the voltage data points with the largest difference from the mean, the impact of outliers on the overall voltage stability assessment can be reduced, which helps to more accurately reflect the changes in battery voltage.

[0017] Preferably, the second correction factor further includes: arranging the battery voltage data in the observation window in ascending order according to the value; and calculating the possibility of retaining the battery voltage data:

[0018] , Indicates the possibility that battery voltage data is retained, represents the first quartile, represents the third quartile, represents the interquartile range, Indicates the voltage value of the battery voltage data, represents a union; the battery voltage data with a probability of 1 is retained, and the variance of the retained battery voltage data is used as the second correction factor.

[0019] The use of quartiles can effectively utilize the distribution characteristics of the data and screen out the battery voltage data with high stability by excluding the extreme values ​​that deviate from the main body of the data. Such a screening mechanism helps to improve the reliability of the battery voltage data and ensure that the selected battery voltage data can truly reflect the changes in the battery voltage.

[0020] Preferably, the power reaching law parameter correction value obtained satisfies the relationship:

[0021] , represents the power reaching law parameter correction value, represents the original power reaching law parameter, represents the first correction factor, Represents the second correction factor.

[0022] Preferably, the obtaining of the power reaching law parameter correction value further comprises: calculating a weighted average of the first correction factor and the second correction factor, and taking the product of the weighted average and the original power reaching law parameter as the power reaching law parameter correction value.

[0023] By means of weighting, the importance of two key parameters, the first correction factor and the second correction factor, can be distinguished. They represent two different situations of voltage data changes and help the system to identify and respond to voltage fluctuations more accurately.

[0024] In a second aspect, the present invention discloses an intelligent voltage regulation system for an audio battery, comprising: a processor; and a memory, wherein the memory stores computer instructions, and when the computer instructions are executed by the processor, the system executes the above-mentioned intelligent voltage regulation method for an audio battery.

[0025] Beneficial effects of the present invention:

[0026] 1. Obtaining data at preset sampling intervals ensures the regularity and systematic nature of data collection. Then, through differential calculation and extreme point sequence analysis, the first correction factor reflecting the slight change in battery voltage is extracted, which helps to sensitively respond to rapid fluctuations in voltage.

[0027] 2. By calculating the range ratio including the elimination of extreme values, the second correction factor is obtained, which can reveal the statistical characteristics of battery voltage changes, including the discreteness of voltage distribution and the influence of outliers.

[0028] 3. By introducing the concepts of quartiles and IQR, the voltage data is screened, the interference of outliers is eliminated, and the reliability of the regulation strategy is ensured.

[0029] 4. Combining the first correction factor and the second correction factor, the battery voltage is precisely controlled by correcting the power approaching law parameters. It can not only adapt to the immediate changes in the battery voltage, but also predict and compensate for the long-term trend, thereby extending the battery life while ensuring the stable operation of the audio system. Through intelligent adjustment, the working state of the battery is optimized, the performance degradation and potential damage caused by voltage fluctuations are reduced, and the energy efficiency and reliability of the system are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0031] Figure 1 The present invention is a flowchart of a method for intelligently adjusting the voltage of an audio battery. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0033] It should be understood that when the terms "first", "second", etc. are used in the claims, descriptions, and drawings of the present invention, they are only used to distinguish different objects, rather than to describe a specific order. The terms "include" and "comprise" used in the description and claims of the present invention indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their collections.

[0034] The present invention provides a method for intelligently adjusting the voltage of an audio battery. Figure 1 As shown, a method for intelligently adjusting the voltage of an audio battery includes steps S1 to S4, which are described in detail below.

[0035] S1, collecting battery voltage data sequence according to a preset sampling interval.

[0036] In one embodiment, in the audio system, the voltage sensor plays a vital role in accurately collecting the voltage data of the audio battery. This process involves precise sampling technology, in which the voltage acquisition frequency is set to 5Hz, which means that within one second, the sensor will measure the battery voltage five times independently to obtain five data points. These data points together constitute a time series, namely the battery voltage data series, which provides a basis for subsequent data processing and analysis.

[0037] S2, obtaining an observation window at any sampling time, performing differentiation on the battery voltage data in the observation window to obtain an extreme point sequence, and calculating a first correction factor of the observation window according to the extreme point sequence.

[0038] It should be noted that changes in the audio battery voltage may be affected by a variety of factors, including changes in workload, power management solutions, and the performance and status of the battery itself.

[0039] First, when the audio device is working, its load will change as the volume increases or the content played changes. This change will cause different current demands, which will affect the battery voltage. For example, when the volume is turned up or music with a large dynamic range is played, the audio power amplifier needs more current to drive the speaker, which may cause the battery voltage to drop. This voltage change may be perceived by the user as a change in sound quality, especially when the battery is low.

[0040] Secondly, the power management scheme will also affect the stability of the battery voltage. Some power management schemes, such as envelope tracking power solutions, can automatically adjust the power supply voltage according to the changes in the audio signal to improve system efficiency and extend battery life. This solution can reduce system losses while ensuring sound quality, thereby maintaining a stable output voltage and sound quality when the battery voltage drops.

[0041] In addition, the performance and condition of the battery itself will also affect the voltage. As the battery is used and ages, its energy storage capacity will decrease, which may cause the battery to be unable to provide sufficient voltage under high load, thus affecting the performance of the audio equipment.

[0042] In one embodiment, obtaining the observation window of any sampling moment includes: taking multiple consecutive historical sampling moments as historical sampling intervals, the historical sampling intervals are before any sampling moment and are continuous with any sampling moment, and the length of the historical sampling intervals is a preset length; and taking the corresponding historical sampling intervals as the observation window.

[0043] Exemplarily, the observation window is set to 5 seconds, and according to the sampling frequency set in step S1, there are 25 battery voltage data in the observation window.

[0044] The battery voltage data in the observation window is differentiated to obtain a sequence of extreme points. The appearance of extreme points may be due to a sudden change in load. In audio equipment, a sudden increase in volume may cause a temporary drop in battery voltage because the amplifier requires more current to drive the speaker. In addition, the appearance of extreme points may also represent a decline in device performance or instability.

[0045] Calculate the average accumulated value of the first-order difference of the extreme point sequence, and use the normalized average accumulated value as the first correction factor.

[0046] In one embodiment, obtaining the observation window of any sampling moment also includes: grading the audio signal; obtaining a preset number of historical sampling moments, wherein the audio signal at each historical sampling moment has the same level as the audio signal at any sampling moment; and using the preset number of historical sampling moments as the observation window.

[0047] It should be noted that in the process of quantizing audio signals, different quantization levels can be used, usually expressed in bits. For example, CD-quality audio signals usually use a 16-bit quantization level, which means that each sample point of the signal can be represented by 65536 (2 to the 16th power) different values, thereby providing a higher dynamic range and sound quality.

[0048] In one embodiment, the first correction factor also satisfies the relationship:

[0049] , represents the first correction factor, represents the total number of extreme points, represents the observation window length, Indicates The value of the extreme point, Indicates The value of the extreme point, represents the hyperbolic tangent function, Represents an exponential function.

[0050] The ratio of the number of extreme points to the window length can be used to characterize the speed of battery voltage data fluctuation.

[0051] S3, calculating a second correction factor according to the battery voltage data in the observation window.

[0052] In one embodiment, the range of the battery voltage data in the observation window is taken as the first range.

[0053] The mean of the battery voltage data in the observation window is calculated, and the maximum battery voltage data and the minimum battery voltage data with the largest difference from the mean are eliminated to obtain a new observation window, and the range of the battery voltage data in the new observation window is used as the second range.

[0054] The second correction factor satisfies the relationship: , represents the second correction factor, represents the first extreme, Indicates the second extreme, represents the hyperbolic tangent function.

[0055] It should be noted that the battery voltage data change rate can be represented by the range of the battery voltage data in the observation window, wherein the larger the range, the greater the change in the battery voltage data.

[0056] In order to avoid the influence of noise on the calculation of the battery voltage data change rate, the credibility is calculated after removing the maximum point and the minimum point that are most deviated from the mean of the battery voltage data in the observation window. Because noise usually appears as outliers that deviate from normal data changes, the appearance of noise will cause a large deviation in the range.

[0057] In another embodiment, the second correction factor further includes: arranging the battery voltage data in the observation window in ascending order according to numerical values.

[0058] Calculate the probability that battery voltage data is retained:

[0059] , Indicates the possibility that battery voltage data is retained, represents the first quartile, represents the third quartile, represents the interquartile range, Indicates the voltage value of the battery voltage data, Represents a union.

[0060] The battery voltage data with a probability of 1 is retained, and the variance of the retained battery voltage data is used as the second correction factor.

[0061] It should be noted that quartiles, also known as quartile points, refer to the values ​​at three split points in statistics when all values ​​are arranged from small to large and divided into four equal parts. The first quartile is also called the lower quartile, which is the minimum value of the data points in the lower 25% of the data set. The second quartile is also called the median, which is the middle value of the data. When the data set contains an odd number of data points, the median is the middle number; when the data set contains an even number of data points, the median is the average of the two middle numbers. The third quartile is also called the upper quartile, which is the minimum value of the data points in the upper 25% of the data set. Quartiles are used to evaluate whether the voltage value of the battery voltage data is an outlier, and to decide whether the battery voltage data should be retained.

[0062] S4, using the first correction factor and the second correction factor to correct the original power-law reaching parameter, obtaining a power-law reaching parameter correction value, and regulating the battery voltage through sliding mode control.

[0063] In one embodiment, the power reaching law parameter correction value satisfies the relationship:

[0064] , represents the power reaching law parameter correction value, represents the original power reaching law parameter, represents the first correction factor, Represents the second correction factor.

[0065] Exemplarily, the original power-law reaching parameter is set to 1, which is the maximum value of the power-law reaching parameter.

[0066] During the use of the audio system, the voltage sensor transmits the battery voltage data to the data processing unit in real time. The data processing unit calculates the first correction factor and the second correction factor based on the battery voltage data change and the output of the sliding mode control in the observation window, and then uses the correction factor to adaptively adjust the power approaching law parameters in the sliding mode control to achieve voltage control. Among them, the sliding mode control to regulate the battery voltage is an existing technology and will not be elaborated on here.

[0067] In another embodiment, the power reaching law parameter correction value further includes:

[0068] A weighted average of the first correction factor and the second correction factor is calculated, and the product of the weighted average and the original power reaching law parameter is used as a power reaching law parameter correction value.

[0069] It should be noted that weighting can distinguish the importance of two key parameters, the first correction factor and the second correction factor, which represent two different situations of voltage data changes and help the system to more accurately identify and respond to voltage fluctuations.

[0070] The first correction factor usually refers to the small fluctuations in battery voltage under normal operating conditions. These small changes may be caused by the natural aging process inside the battery, temperature changes, or instantaneous load changes. The physical meaning of the first correction factor is to quantify the amplitude of such small fluctuations.

[0071] The second correction factor involves large changes in battery voltage, which may be due to significant degradation of battery performance, severe overcharge or overdischarge, or the battery is approaching the end of its service life. The physical meaning of the second correction factor is to capture and quantify these large changes so that the system can take timely measures to prevent possible equipment damage or performance degradation.

[0072] The embodiment of the present invention further discloses an intelligent voltage regulation system for an audio battery, comprising a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, an intelligent voltage regulation method for an audio battery according to the present invention is implemented.

[0073] The above system also includes other components well known to those skilled in the art, such as a communication bus and a communication interface, and their configuration and functions are known in the art, so they will not be described in detail here.

[0074] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module or both. Any such computer storage medium may be part of a device or accessible or connectable to a device.

[0075] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

[0076] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for intelligently adjusting the voltage of an audio battery, characterized in that: include: Collecting battery voltage data sequence according to a preset sampling interval; Obtain an observation window at any sampling time, perform differentiation on the battery voltage data in the observation window, obtain an extreme point sequence, and calculate a first correction factor of the observation window according to the extreme point sequence; Calculate a second correction factor based on the battery voltage data in the observation window; Calculating the second correction factor based on the battery voltage data in the observation window includes: The range of the battery voltage data in the observation window is taken as the first range; Calculate the mean of the battery voltage data in the observation window, and remove the maximum battery voltage data and the minimum battery voltage data with the largest difference from the mean, obtain a new observation window, and use the range of the battery voltage data in the new observation window as the second range; The second correction factor satisfies the relationship: , represents the second correction factor, represents the first extreme, Indicates the second extreme, represents the hyperbolic tangent function; or, Arrange the battery voltage data in the observation window in ascending order according to the numerical value; Calculate the probability that battery voltage data is retained: , Indicates the possibility that battery voltage data is retained, represents the first quartile, represents the third quartile, represents the interquartile range, Indicates the voltage value of the battery voltage data, represents a union; retaining the battery voltage data with a probability of 1, and using the variance of the retained battery voltage data as a second correction factor; The original power-law reaching parameter is corrected by using the first correction factor and the second correction factor to obtain the power-law reaching parameter correction value, and the battery voltage is regulated by sliding mode control.

2. The method for intelligently adjusting the voltage of an audio battery according to claim 1, characterized in that: The acquisition of the observation window at any sampling time includes: A plurality of continuous historical sampling moments are used as a historical sampling interval, the historical sampling interval is before any sampling moment and is continuous with any sampling moment, and the length of the historical sampling interval is a preset length; The historical sampling interval is used as the observation window.

3. The method for intelligently adjusting the voltage of an audio battery according to claim 1, characterized in that: The acquisition of the observation window at any sampling time also includes: grading audio signals; Obtaining a preset number of historical sampling moments, wherein the level of the audio signal at each historical sampling moment is the same as the level of the audio signal at any sampling moment; A preset number of historical sampling moments are used as observation windows.

4. The method for intelligently adjusting the voltage of an audio battery according to claim 1, characterized in that: Calculating the first correction factor of the observation window based on the extreme point sequence includes: Calculate the average accumulated value of the first-order difference of the extreme point sequence, and use the normalized average accumulated value as the first correction factor.

5. The method for intelligently adjusting the voltage of an audio battery according to claim 1, characterized in that: The first correction factor also satisfies the relationship: , represents the first correction factor, represents the total number of extreme points, represents the observation window length, Indicates The value of the extreme point, Indicates The value of the extreme point, represents the hyperbolic tangent function, Represents an exponential function.

6. The method for intelligently adjusting the voltage of an audio battery according to claim 1, characterized in that: The power reaching law parameter correction value obtained satisfies the relationship: , represents the power reaching law parameter correction value, represents the original power reaching law parameter, represents the first correction factor, Represents the second correction factor.

7. The method for intelligently adjusting the voltage of an audio battery according to claim 1, characterized in that: The obtaining of the power reaching law parameter correction value also includes: A weighted average of the first correction factor and the second correction factor is calculated, and the product of the weighted average and the original power reaching law parameter is used as a power reaching law parameter correction value.

8. An intelligent audio battery voltage regulation system, characterized in that: include: Processor; and A memory storing computer instructions, wherein when the computer instructions are executed by a processor, the system executes an audio battery voltage intelligent adjustment method according to any one of claims 1 to 7.

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