Method and equipment for displaying residual electric quantity of lithium battery of bicycle

By analyzing the differences and changing trends of discharge loss data and current data, dynamically adjusting the Kalman filter gain, the noise interference problem in the residual battery estimation of lithium batteries is solved, and more accurate power measurement and information reliability are achieved.

CN120370176AActive Publication Date: 2025-07-25HUIZHOU KEDIFEI AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202510858578.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2025-07-25
Estimated Expiration
2045-06-25

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Abstract

The invention relates to the technical field of lithium battery remaining capacity measurement, in particular to a lithium battery remaining capacity display method and device for a bicycle, and the method comprises the steps: determining the discharge disorder degree through analyzing the difference between all discharge loss data and a corresponding fitting result; determining the discharge influence degree of the bicycle lithium battery at the current moment by analyzing the extreme distribution difference of all the current data within the preset duration and combining the discharge disorder degree; and determining the current disturbance of the bicycle lithium battery at the current moment by analyzing the change trend of all the current data within the preset time length and combining the discharge influence degree, and correcting the current data within the preset time length to determine the residual electric quantity of the bicycle lithium battery at the current moment. According to the invention, by dynamically adjusting the Kalman filtering gain, the accuracy of measuring the residual electric quantity of the bicycle lithium battery is improved.
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Description

Technical Field

[0001] This application relates to the technical field of measuring the remaining power of lithium batteries, and particularly to a method and device for displaying the remaining power of a lithium battery used for a bicycle. Background Art

[0002] A bicycle is a human-powered vehicle that drives the wheels to rotate through pedaling a chain and gear system to achieve movement. At the same time, with the development of technology, bicycles have more and more carrying functions, such as APP control, which can achieve remote locking and unlocking, and can also monitor the vehicle status and locate the vehicle position in real time. During the riding process, the riding speed can also be monitored, and users can adjust their riding speed by monitoring the speed. The use of intelligent functions requires the cooperation of lithium batteries, and the remaining power of lithium batteries determines the usage time of various functions. Therefore, the estimation of the remaining power of lithium batteries is particularly important.

[0003] The estimation of the remaining power of a lithium battery is generally carried out by using the ampere-hour integration method to estimate the remaining power of the lithium battery based on the current during the discharge of the lithium battery. However, the discharge current will be interfered by noise, resulting in inaccurate measurement of the current. The traditional method generally processes the current data through Kalman filtering. However, due to the different anti-interference abilities of lithium batteries in different discharge periods, using a Kalman filtering algorithm with a fixed Kalman gain may lead to incomplete filtering effect, reducing the accuracy of measuring the remaining power of the lithium battery for bicycles. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a method and device for displaying the remaining power of a lithium battery used for a bicycle. The specific technical solutions adopted are as follows: In the first aspect, an embodiment of this application provides a method for displaying the remaining power of a lithium battery used for a bicycle, and the method includes the following steps: Obtain the discharge loss data and current data during the discharge of the lithium battery of the bicycle in real time; Fit all the discharge loss data within a preset time period before the current moment, and determine the discharge disorder degree of the lithium battery of the bicycle at the current moment by analyzing the difference between all the discharge loss data and the corresponding fitting results; Determine the current difference degree of the lithium battery of the bicycle at the current moment by analyzing the extreme distribution difference of all the current data within the preset time period, and determine the discharge influence degree of the lithium battery of the bicycle at the current moment in combination with the discharge disorder degree; Determine the current change degree of the lithium battery of the bicycle at the current moment by analyzing the change trend of all the current data within the preset time period, and determine the current disturbance degree of the lithium battery of the bicycle at the current moment in combination with the discharge influence degree; Based on the current disturbance degree, correct the current data within the preset duration to determine the remaining power of the bicycle lithium battery at the current moment.

[0005] Preferably, the process of obtaining the discharge loss data and the current data is as follows: Connect two resistors in series on the discharge path of the bicycle lithium battery, denoted as the first resistor and the second resistor respectively, where the first resistor is located between the bicycle lithium battery and the second resistor. Synchronously and real-time obtain the current data flowing through the first resistor and the current data flowing through the second resistor. Take the difference between the current data flowing through the first resistor and the current data flowing through the second resistor at each moment as the discharge loss data, and take the current data flowing through the first resistor as the current data of the bicycle lithium battery.

[0006] Preferably, the discharge disorder degree of the bicycle lithium battery at the current moment is the result of taking the average of the differences between all discharge loss data and the corresponding fitting results within the preset duration before the current moment.

[0007] Preferably, the current difference degree of the bicycle lithium battery at the current moment is the result of taking the range of all current data within the preset duration before the current moment.

[0008] Preferably, the discharge influence degree of the bicycle lithium battery at the current moment is the ratio of the discharge disorder degree to the current difference degree of the bicycle lithium battery at the current moment.

[0009] Preferably, the method for determining the current change degree of the bicycle lithium battery at the current moment is as follows: Use the definition of the first derivative to calculate the slope of the current data at each moment within the preset duration before the current moment, and take the total number of positive results among the slopes of the current data at all moments as the current change degree of the bicycle lithium battery at the current moment.

[0010] Preferably, the expression of the current disturbance degree of the bicycle lithium battery at the current moment is: ; in the formula, represents the current disturbance degree of the bicycle lithium battery at the current moment; represents the discharge influence degree of the bicycle lithium battery at the current moment; KM represents the current change degree of the bicycle lithium battery at the current moment.

[0011] Preferably, the correction of the current data within the preset duration includes: Take all the current data within the preset duration before the current moment as the input of the Kalman filtering algorithm, where the normalized value of the current disturbance degree of the bicycle lithium battery at the current moment is used as the Kalman filtering gain, and output the corrected values of all the current data within the preset duration before the current moment.

[0012] Preferably, determining the remaining power of the bicycle lithium battery at the current moment includes: Taking the correction values of all current data within a preset time period before the current moment as the input of the ampere-hour integration method, outputting the state of charge of the bicycle lithium battery at the current moment, and converting the state of charge into a percentage format to obtain the remaining power of the bicycle lithium battery at the current moment.

[0013] In a second aspect, an embodiment of the present application further provides a remaining power display device for a bicycle lithium battery, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the above-mentioned remaining power display method for a bicycle lithium battery are implemented.

[0014] The present application has at least the following beneficial effects: By analyzing the differences between all discharge loss data and the corresponding fitting results, and the extreme distribution differences of all current data, the present application constructs a discharge influence degree, which can accurately correct current data, effectively reduce measurement errors, and can more accurately reflect the actual remaining power of the lithium battery compared with traditional methods, providing reliable power information for users and avoiding riding dilemmas caused by misjudgment of power; further, by analyzing the change trend of all current data within the preset time period, the present application determines the current change degree of the bicycle lithium battery at the current moment, and combines the discharge influence degree to determine the current disturbance degree of the bicycle lithium battery. The current disturbance degree is a comprehensive index that considers the complexity of current changes and the degree of current interference. Based on the current disturbance degree, the Kalman filter gain is dynamically adjusted, which can specifically filter out current noise in high-interference periods in the later stage of discharge, thereby improving the accuracy of measuring the remaining power of the bicycle lithium battery; further, the ampere-hour integration method is used to calculate the calibrated current data, and the state of charge (SOC) of the bicycle lithium battery is updated in real time, effectively reducing power measurement errors and improving the accuracy of measuring the remaining power of the bicycle lithium battery. Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 It is a flowchart of the steps of a method for displaying the remaining power of a bicycle lithium battery provided by an embodiment of the present application; Figure 2 It is a schematic diagram of the process of extracting the current disturbance degree provided by an embodiment of the present application. Detailed implementation manners

[0017] In order to further elaborate on the technical means and effects adopted by this application to achieve the intended invention purpose, the following will, in conjunction with the attached drawings and preferred embodiments, detail the specific implementation manners, structures, features, and effects of the method and device for displaying the remaining power of a lithium battery for a bicycle proposed according to this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs.

[0019] The following will specifically describe the specific solutions of the method and device for displaying the remaining power of a lithium battery for a bicycle provided by this application in conjunction with the attached drawings.

[0020] Please refer to Figure 1 , which shows a flowchart of the steps of a method for displaying the remaining power of a lithium battery for a bicycle provided by an embodiment of this application. The method includes the following steps: Step S1: Real-time obtain the discharge loss data and current data during the discharge process of the lithium battery of the bicycle.

[0021] Two resistors are connected in series on the discharge path of the lithium battery of the bicycle, denoted as the first resistor and the second resistor respectively. The placement position of the first resistor is closer to the lithium battery of the bicycle than that of the second resistor, that is, the first resistor is located between the lithium battery of the bicycle and the second resistor. In order to reduce the power loss of the resistor, the resistance value of the resistor is usually very small. Therefore, an amplifier is used to amplify the voltage collected by the resistor, and the amplified voltage signal is input into the analog-to-digital converter (ADC) protection module of the microcontroller unit (MCU) to obtain the voltage value. Based on Ohm's formula, the current data flowing through the first resistor and the second resistor during the discharge process of the lithium battery of the bicycle is calculated. Among them, the data acquisition frequency is set to f, the current values flowing through the two resistors are collected respectively, and the interpolation method is used to complement the missing part.

[0022] It should be noted that the value of the data acquisition frequency f is set manually. In this embodiment, the value of the data acquisition frequency f is 10Hz. In the actual application process, as other implementation manners, the implementer can also set it by himself in combination with the specific situation, and this embodiment does not make special restrictions.

[0023] It should be added that there are many commonly used interpolation methods. In this embodiment, the mean value interpolation method is used to fill in the missing data. In actual application processes, as other implementation manners, implementers can also adopt other interpolation methods such as regression interpolation method according to specific situations, and this embodiment does not make special restrictions.

[0024] Among them, the mean value interpolation method is a well-known technology, and its specific principle will not be elaborated here.

[0025] Furthermore, since the series circuit is adopted and the propagation speed of the current in the circuit is the speed of light, the current propagation interval through the two resistors can be ignored. Without considering the line loss, the current passing through the two resistors should be the same. However, in actual use, the current passing through the first resistor will generate electrical energy loss in the circuit, making the current of the second resistor smaller than that of the first resistor. Thus, subtract the current data at each moment in the first resistor within the preset time period before the current moment from the current data in the second resistor at the corresponding moment, and record the subtraction result as the discharge loss data at each moment. When measuring the remaining power of the bicycle lithium battery, since the first resistor is closer to the lithium battery, the loss of the current of the first resistor in the circuit is the lowest. Therefore, generally, the current data at the first resistor is used to measure the remaining power of the bicycle lithium battery. Thus, the current data of the first resistor is used as the current data during the discharge process of the bicycle lithium battery.

[0026] Step S2: Fit all the discharge loss data within the preset time period before the current moment, and determine the discharge disorder degree of the bicycle lithium battery at the current moment by analyzing the differences between all the discharge loss data and the corresponding fitting results.

[0027] During the use of the bicycle lithium battery, since the electrical energy in the lithium battery continuously decreases, the voltage in the lithium battery decreases, thereby causing the output current of the lithium battery to continuously decrease. The main component of the loss in the circuit is heat loss, that is , where Q represents heat loss, I represents the current in the circuit, and r represents the resistance in the circuit. It can be seen from the formula that the heat loss of the circuit is determined by the magnitude of the current in the circuit.

[0028] During the use of the bicycle lithium battery, as the current continuously decreases, the heat loss in the circuit also continuously decreases, and as the current decreases, the heat loss decreases more slowly, and the loss in the circuit shows a concave shape with the current value. Thus, as an implementation manner, in this embodiment, the polynomial curve fitting algorithm is used to fit all the discharge loss data within the preset time period before the current moment to obtain a fitting curve. Among them, since the discharge loss shows a concave shape with the current value, the order of the polynomial is taken as 2, and this order can better apply to the data with a concave shape.

[0029] It should be noted that the value of the preset duration is set artificially. In this embodiment, the value of the preset duration is 10s. In actual application processes, as other implementation manners, implementers can also set it according to specific situations by themselves, and this embodiment does not make special restrictions.

[0030] Among them, the polynomial curve fitting algorithm is a well-known technology, and the specific process of fitting the discharge loss will not be elaborated here.

[0031] Furthermore, the greater the difference between the fitting value on the fitting curve and the discharge loss data, the less accurate the measured current data is, and the more necessary it is to correct the current data output by the lithium battery to improve the estimation of the remaining power of the bicycle lithium battery.

[0032] Therefore, by analyzing the differences between all discharge loss data and the corresponding fitting results, the discharge disorder degree of the bicycle lithium battery at the current moment is determined, specifically: As an implementation manner, in this embodiment, the average value of the differences between all discharge loss data within the preset duration before the current moment and the corresponding fitting values on their fitting curves is used as the discharge disorder degree of the bicycle lithium battery at the current moment.

[0033] It should be noted that there are many methods to measure the differences between data. In this embodiment, the result of taking the absolute value of the difference between all discharge loss data within the preset duration before the current moment and the corresponding fitting values on their fitting curves is used as the difference between all discharge loss data within the preset duration before the current moment and the corresponding fitting values on their fitting curves. In actual application processes, as other implementation manners, implementers can also set it according to specific situations by themselves, and this embodiment does not make special restrictions.

[0034] From the discharge disorder degree of the bicycle lithium battery at the current moment, it can be understood that when the difference between the discharge loss data and the corresponding fitting value on the fitting curve is greater, it indicates that during the discharge process of the bicycle lithium battery, the possibility of the current being interfered is greater, and this interference may be caused by various factors such as the capacitance effect and electromagnetic interference in the circuit. Due to the existence of these interferences, the current value of the lithium battery measured by the resistor will become inaccurate, thereby leading to an increase in the discharge disorder degree. In this case, in order to improve the accuracy of the estimation of the remaining power of the bicycle lithium battery, it is necessary to correct the current to reduce the measurement error, so as to provide more reliable remaining power information for users and ensure the safety and reliability of the bicycle during driving.

[0035] Step S3: By analyzing the extreme distribution differences of all current data within the preset duration, determine the current difference degree of the bicycle lithium battery at the current moment, and combine the discharge disorder degree to determine the discharge influence degree of the bicycle lithium battery at the current moment.

[0036] In different discharge stages of a bicycle lithium battery, the attenuation degree of the discharge voltage of the lithium battery per unit time is different. Therefore, the current that can be released by the lithium battery in the same time is different, resulting in different degrees of influence of the same discharge disorder on the discharge of different lithium batteries at different stages. In the period when the remaining power of the lithium battery is relatively sufficient, the discharge current of the lithium battery is large, and in the period when the remaining power of the lithium battery is insufficient, the discharge current of the lithium battery is small. The same discharge disorder has a greater impact on the period when the remaining power of the lithium battery is insufficient. Therefore, this embodiment determines the current difference of the bicycle lithium battery at the current moment by analyzing the extreme distribution differences of all current data within the preset time length, and determines the discharge influence of the bicycle lithium battery at the current moment in combination with the discharge disorder, specifically: As an implementation mode, in this embodiment, the result of taking the extreme difference of all current data within a preset time period before the current moment is taken as the current difference of the bicycle lithium battery at the current moment; Furthermore, the ratio of the discharge disorder degree to the current difference degree of the bicycle lithium battery at the current moment is used as the discharge influence degree of the bicycle lithium battery at the current moment.

[0037] According to the discharge influence of the bicycle lithium battery at the current moment, it can be understood that the greater the discharge influence of the bicycle lithium battery, the more disordered its discharge state is and the more violent the current fluctuation is. At this time, when the current drop amplitude of the bicycle lithium battery is fixed, that is, the current difference is fixed, the greater the value of its discharge disorder, the stronger the interference to the detection current value, the more complex the current change during the battery discharge process, and the larger the measurement error.

[0038] Step S4: by analyzing the change trend of all current data within the preset time, the current change degree of the bicycle lithium battery at the current moment is determined, and the current disturbance degree of the bicycle lithium battery at the current moment is determined in combination with the discharge influence degree.

[0039] The current of a bicycle lithium battery decreases as the discharge amount increases during discharge. In the early stage of lithium battery discharge, the current decreases slowly, and in the later stage of discharge, the current decreases faster. Therefore, in this embodiment, by analyzing the change trend of all current data within the preset time, the current change degree of the bicycle lithium battery at the current moment is determined, and combined with the discharge influence degree, the current disturbance degree of the bicycle lithium battery at the current moment is determined, specifically: As an implementation mode, in this embodiment, the first-order derivative definition is used to calculate the slope of the current data at each moment within a preset time length before the current moment, and the total number of positive results in the slope of the current data at all moments is taken as the current change degree of the bicycle lithium battery at the current moment.

[0040] Among them, the definition of the first derivative is well-known technology, and the specific principle and process of calculating the slope using the definition of the first derivative will not be elaborated here.

[0041] Furthermore, based on the current change rate of the current of the bicycle lithium battery at the current moment and in combination with the discharge influence degree, the current disturbance degree of the bicycle lithium battery at the current moment is determined, specifically as follows: As an implementation manner, in this embodiment, the current disturbance degree of the bicycle lithium battery at the current moment has the following expression: ; in the formula, represents the discharge influence degree of the bicycle lithium battery at the current moment; KM represents the number of positive values among the slopes of all current data within a preset time period before the current moment.

[0042] Preferably, the schematic diagram of the process for extracting the current disturbance degree provided in this embodiment is as shown in Figure 2 the following figure.

[0043] It can be understood from the current disturbance degree of the bicycle at the current moment that the higher the current disturbance degree of the bicycle lithium battery, the more severely it is disturbed during the discharge process. In normal situations, due to the continuous discharge of the bicycle lithium battery, its output current is continuously decreasing, resulting in negative slopes for all current data. When the slope appears positive, it indicates that the current data is disturbed, and the larger the value, the higher the degree of disorder of the data, and at the same time, it will also cause an increase in the discharge influence degree of the bicycle lithium battery. These disordered interferences will cause the current value measured by the resistor to be distorted, resulting in a sharp change in the slope of the current data and an increase in the measurement error. Therefore, it is necessary to correct the current data to reduce the influence of interference, improve the accuracy of the remaining power enrichment, and ensure the safety and reliability of the bicycle's operation.

[0044] Step S5: Based on the current disturbance degree, correct the current data within the preset time period to determine the remaining power of the bicycle lithium battery at the current moment.

[0045] Based on the current disturbance degree obtained in the above step S4, the current data within the preset time period before the current moment is corrected to determine the remaining power of the bicycle lithium battery at the current moment, specifically as follows: In this embodiment, all the current data within the preset time period before the current moment is used as the input of the Kalman filter algorithm. Among them, the normalized value of the current disturbance degree of the bicycle lithium battery at the current moment is used as the Kalman filter gain, and the corrected values of all the current data within the preset time period before the current moment are output. The Kalman filter algorithm with a dynamic Kalman gain can more effectively suppress noise, improve the accuracy and stability of current measurement, and further enhance the reliability of the remaining power estimation of the lithium battery.

[0046] Among them, the Kalman filtering algorithm is a well-known technology, and the specific process of correcting the current data will not be elaborated here.

[0047] Furthermore, the correction values of all current data within a preset time period before the current moment are used as the input of the ampere-hour integration method, and the state of charge (SOC) of the bicycle lithium battery at the current moment is output. The state of charge is converted into a percentage format to obtain the remaining power of the bicycle lithium battery at the current moment.

[0048] It should be supplemented that when calculating using the ampere-hour integration method, during the use of the lithium battery, the capacity of the lithium battery will decrease as the number of charging times increases. Therefore, after each charge, the initial capacity of the battery needs to be multiplied by the attenuation coefficient to update the initial capacity. The value of the attenuation coefficient is: .

[0049] Among them, the calculation steps of the ampere-hour integration method are well-known technologies, and the specific calculation process will not be elaborated here.

[0050] Regarding the state of charge (SOC) of the bicycle lithium battery calculated above at the current moment, the MCU will send and transmit the state of charge to the remaining power display screen through GPIO (General Purpose Input Output) pins or dedicated communication interfaces, such as SPI, I²C. The display screen will convert the state of charge (SOC) of the bicycle lithium battery into a percentage format and display the remaining power of the bicycle lithium battery to the user.

[0051] Based on the same inventive concept as the above method, the embodiment of the present application also provides a device for displaying the remaining power of a lithium battery for a bicycle, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above methods for displaying the remaining power of a lithium battery for a bicycle.

[0052] It should be noted that the above sequence of embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above description of specific embodiments of this specification is given. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0053] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments.

[0054] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present application shall be included within the protection scope of the present application.

Claims

1. A method for displaying the remaining power of a lithium battery for a bicycle, characterized in that, The method includes the following steps: Obtain the discharge loss data and current data in real time during the discharge process of the bicycle lithium battery; Fit all the discharge loss data within a preset time period before the current moment, and determine the discharge disorder degree of the bicycle lithium battery at the current moment by analyzing the difference between all the discharge loss data and the corresponding fitting results; Determine the current difference degree of the bicycle lithium battery at the current moment by analyzing the extreme distribution difference of all the current data within the preset time period, and combine the discharge disorder degree to determine the discharge influence degree of the bicycle lithium battery at the current moment; Determine the current change degree of the bicycle lithium battery at the current moment by analyzing the change trend of all the current data within the preset time period, and combine the discharge influence degree to determine the current disturbance degree of the bicycle lithium battery at the current moment; Based on the current disturbance degree, correct the current data within the preset time period to determine the remaining power of the bicycle lithium battery at the current moment.

2. The method for displaying the remaining power of a lithium battery for a bicycle according to claim 1, characterized in that, The process of obtaining the discharge loss data and current data is as follows: Connect two resistors in series on the discharge path of the bicycle lithium battery, denoted as the first resistor and the second resistor respectively. Among them, the first resistor is located between the bicycle lithium battery and the second resistor. Synchronously obtain the current data flowing through the first resistor and the current data flowing through the second resistor in real time. Take the difference between the current data flowing through the first resistor and the current data flowing through the second resistor at each moment as the discharge loss data, and take the current data flowing through the first resistor as the current data of the bicycle lithium battery.

3. The method for displaying the remaining power of the lithium battery for a bicycle according to claim 1, wherein, The discharge disorder degree of the bicycle lithium battery at the current moment is the result of taking the average of the differences between all the discharge loss data within a preset time period before the current moment and the corresponding fitting results.

4. The method for displaying the remaining power of a lithium battery for a bicycle according to claim 1, characterized in that, The current difference degree of the bicycle lithium battery at the current moment is the result of taking the range of all the current data within a preset time period before the current moment.

5. The method for displaying the remaining power of a lithium battery for a bicycle according to claim 1, characterized in that, The discharge influence degree of the bicycle lithium battery at the current moment is the ratio of the discharge disorder degree of the bicycle lithium battery at the current moment to the current difference degree.

6. The method for displaying the remaining power of a lithium battery for a bicycle according to claim 1, characterized in that, The method for determining the current change degree of the bicycle lithium battery at the current moment is as follows: Use the first derivative definition to calculate the slope of the current data at each moment within a preset time period before the current moment, and take the total number of positive results among the slopes of the current data at all moments as the current change degree of the bicycle lithium battery at the current moment.

7. The method for displaying the remaining power of the lithium battery for a bicycle according to claim 1, characterized in that The expression for the current disturbance degree of the bicycle lithium battery at the current moment is as follows: ; In the formula, represents the current disturbance degree of the bicycle lithium battery at the current moment; represents the discharge influence degree of the bicycle lithium battery at the current moment; KM represents the current change degree of the bicycle lithium battery.

8. The method for displaying the remaining power of a lithium battery for a bicycle according to claim 1, wherein, The correction of the current data within the preset time period includes: Take all the current data within a preset time period before the current moment as the input of the Kalman filter algorithm. Among them, take the normalized value of the current disturbance degree of the bicycle lithium battery at the current moment as the Kalman filter gain, and output the corrected values of all the current data within a preset time period before the current moment.

9. The method for displaying the remaining power of a lithium battery for a bicycle according to claim 1, characterized in that, The determination of the remaining power of the bicycle lithium battery at the current moment includes: Take the corrected values of all the current data within a preset time period before the current moment as the input of the ampere-hour integration method, output the state of charge of the bicycle lithium battery at the current moment, and convert the state of charge into a percentage format to obtain the remaining power of the bicycle lithium battery at the current moment.

10. A remaining battery power display device for a bicycle, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, the steps of the method for displaying the remaining power of the lithium battery for a bicycle according to any one of claims 1-9 are implemented.

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