Icebreaking test method and system for electric pedal

Abstract

The invention relates to the field of transportation, and provides an icebreaking test method and system for an electric pedal, and the method comprises the steps: firstly obtaining test environment information of the electric pedal to analyze a test application scene, configuring test operation parameters according to the test environment information, and constructing an icebreaking test simulation environment; analyzing running state data of the electric pedal in a simulation environment, calculating a power loss rate, adjusting a power supply strategy according to the power loss rate, then carrying out multiple times of icebreaking tests, obtaining an icebreaking record set, calculating an icebreaking efficiency index, constructing an evaluation framework, predicting icebreaking effects under different ice layer hardness by using the framework, and analyzing stress change and key influence factors; and finally, connecting the road surface detection module according to the key factors to obtain a test pedal, collecting real-time icebreaking data, detecting optimization points, and generating an icebreaking optimization report. The use quality of the electric pedal in the cold ice and snow environment can be improved.

Description

Technical Field

[0001] The present invention relates to the field of transportation, and in particular to an ice-breaking test method and system for an electric pedal. Background Art

[0002] In the field of transportation, especially in cold areas or winter environments, the use of electric pedals faces special challenges. With the widespread use of electric vehicles, electric pedals, as an important component, have a crucial impact on user safety and user experience in terms of performance stability under icy and snowy weather conditions.

[0003] At present, most of the relevant test methods for electric pedals focus on the functional detection of electric pedals under normal conditions, and lack targeted testing for the special scenario of breaking ice. Traditional tests usually simply simulate some basic ice and snow adhesion conditions, and lack accurate simulation of complex real ice and snow environments, such as the hardness and thickness of different ice and the density of snow. Comprehensive consideration of multiple factors. Moreover, most of these tests rely on manual observation and some basic measurement tools, and cannot accurately and continuously obtain the key performance data of the electric pedal during the ice-breaking process, resulting in an incomplete evaluation of the electric pedal's ice-breaking ability. Therefore, an ice-breaking test method for electric pedals is needed to improve the quality of use of electric pedals in cold ice and snow environments. Summary of the invention

[0004] The present invention provides an ice-breaking test method and system for an electric pedal, the main purpose of which is to improve the use quality of the electric pedal in a cold ice and snow environment.

[0005] To achieve the above object, the present invention provides an ice-breaking test method for an electric pedal, comprising: Acquire test environment information of the electric pedal, analyze the test application scenario corresponding to the electric pedal based on the test environment information, configure the test operation parameters corresponding to the electric pedal according to the test application scenario, and construct an ice-breaking test simulation environment corresponding to the electric pedal based on the test operation parameters; Analyzing the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment, querying the power output parameters in the operating status data, and calculating the power loss rate of the electric pedal during the ice-breaking process based on the power output parameters; Based on the power loss rate, adjusting the power supply strategy of the electric pedal, based on the power supply strategy, performing multiple ice-breaking tests on the electric pedal to obtain an ice-breaking record set, calculating the ice-breaking efficiency index corresponding to the record in the ice-breaking record set, and constructing an ice-breaking efficiency evaluation framework corresponding to the electric pedal based on the ice-breaking efficiency index; The ice-breaking efficiency evaluation framework is used to predict the ice-breaking effect of the electric pedal under different ice hardness conditions. Based on the ice-breaking effect, the force change of the electric pedal during the test is analyzed to determine the key influencing factors in the force change. Based on the key influencing factors, a preset road surface detection module is data-connected with the electric pedal to obtain a test pedal, real-time ice-breaking data of the test pedal during the test is collected, and the ice-breaking optimization points in the real-time ice-breaking data are detected. Based on the ice-breaking optimization points, an ice-breaking optimization report corresponding to the electric pedal is generated.

[0006] Optionally, constructing an ice-breaking test simulation environment corresponding to the electric pedal based on the test running parameters includes: Classifying the test running parameters to obtain a classification parameter set; Identifying a weight attribute of each parameter in the classification parameter set; Analyze the core attribute points corresponding to the weight attributes; Based on the core attribute point, determining an environmental reference value corresponding to the electric pedal; Extracting key environmental factors from the environmental reference values; Based on the key environmental factors, an ice-breaking test simulation environment corresponding to the electric pedal is constructed.

[0007] Optionally, the analyzing the running status data corresponding to the electric pedal in the ice-breaking test simulation environment includes: Collecting raw data of the electric pedal in the ice-breaking test simulation environment; Analyze the data source corresponding to the original data; Based on the data source, determining a performance analysis dimension corresponding to the electric pedal; Querying a dimension data set corresponding to the data in the performance analysis dimension; Extracting state features of each subset of data in the dimensional data set; Based on the state characteristics, the operating state data corresponding to the electric pedal in the ice-breaking test simulation environment is analyzed.

[0008] Optionally, the calculating, based on the power output parameter, the power loss rate of the electric pedal during ice breaking includes: The power loss rate of the electric pedal during ice breaking is calculated using the following formula:

[0009] in, represents the power loss rate of the electric pedal during ice breaking, and Respectively represent the start and end time of the ice-breaking process. Indicates that the electric pedal is at time The total power output, Indicates that the electric pedal is at time The effective power actually used for breaking ice.

[0010] Optionally, generating a power supply strategy corresponding to the electric pedal based on the power loss rate includes: Based on the power loss rate, collecting historical power loss corresponding to the electric pedal; Analyzing the loss fluctuation characteristics corresponding to the historical power loss; Based on the loss fluctuation characteristics, determining a loss adjustment direction corresponding to the electric pedal; Based on the loss adjustment direction, analyzing the performance change range corresponding to the electric pedal; extracting a performance dynamic index within the performance variation range; Based on the performance power index, a power supply strategy corresponding to the electric pedal is generated.

[0011] Optionally, calculating the icebreaking efficiency index corresponding to the record in the icebreaking record set includes: The icebreaking efficiency index corresponding to the record in the icebreaking record set is calculated using the following formula:

[0012] in, Indicates the icebreaking efficiency index corresponding to the records in the icebreaking record set. Indicates the number of successful icebreaking in the icebreaking record set, Indicates the number of successful icebreaking times. Indicates The volume of ice broken by each icebreaking Indicates The time taken for the ice-breaking process Indicates During the ice-breaking process, the electric pedal The ice breaking power function, The number of categories representing ice conditions, The category index representing the ice conditions, Indicates The average thickness of ice in ice-like conditions, Indicates Total area of ​​ice-breaking under ice-like conditions, Indicated in Total cumulative time of icebreaking under ice-like conditions, Indicated in The electric pedal is at the time of breaking ice in ice-like conditions. The cumulative power function of It represents the movement weighting coefficient of the electric pedal during the entire ice-breaking test.

[0013] Optionally, constructing an ice-breaking efficiency evaluation framework corresponding to the electric pedal based on the ice-breaking efficiency index includes: Analyze the influencing factors corresponding to the icebreaking efficiency index; Based on the influencing factors, determining an evaluation dimension corresponding to the electric pedal; analyzing dimensional correlations between the evaluation dimensions; Based on the dimension relevance, extract the core evaluation elements in the evaluation dimension; Based on the core evaluation factors, an ice-breaking efficiency evaluation framework corresponding to the electric pedal is constructed.

[0014] Optionally, analyzing the force change of the electric pedal during the test based on the ice-breaking effect includes: Analyzing ice layer cracking characteristics corresponding to the ice breaking effect; Based on the ice cracking characteristics, determining the action mode of the electric pedal in the ice breaking process; analyzing the interaction relationships between the modes of action; Based on the interaction relationship, extract the key action links in the action mode; Based on the key action links, the force changes of the electric pedal during the test are analyzed.

[0015] Optionally, collecting real-time ice-breaking data of the test pedal during the test process includes: Marking ice-breaking operation information corresponding to the test pedal; Analyzing the operation mode corresponding to the icebreaking operation information; Extracting the core operating elements in the operating mode; Based on the core operating elements, construct a data acquisition sequence corresponding to the test pedal; Converting the data acquisition sequence into its corresponding real-time data view; Real-time icebreaking data in the real-time data view is collected.

[0016] Optionally, in order to solve the above problem, the present invention provides an ice-breaking test system for an electric pedal, the system comprising: An environment construction module, used to obtain test environment information of the electric pedal, analyze the test application scenario corresponding to the electric pedal based on the test environment information, configure the test operation parameters corresponding to the electric pedal according to the test application scenario, and construct an ice-breaking test simulation environment corresponding to the electric pedal based on the test operation parameters; a loss calculation module, used for analyzing the operation status data corresponding to the electric pedal in the ice-breaking test simulation environment, querying the power output parameters in the operation status data, and calculating the power loss rate of the electric pedal during the ice-breaking process based on the power output parameters; A framework construction module, used to adjust the power supply strategy of the electric pedal based on the power loss rate, perform multiple ice-breaking tests on the electric pedal based on the power supply strategy to obtain an ice-breaking record set, calculate the ice-breaking efficiency index corresponding to the record in the ice-breaking record set, and construct an ice-breaking efficiency evaluation framework corresponding to the electric pedal based on the ice-breaking efficiency index; An influencing factor module is used to use the ice-breaking efficiency evaluation framework to predict the ice-breaking effect of the electric pedal under different ice hardness conditions, analyze the force change of the electric pedal during the test based on the ice-breaking effect, and determine the key influencing factors in the force change; The report generation module is used to connect the preset road surface detection module with the electric pedal based on the key influencing factors to obtain a test pedal, collect real-time ice-breaking data of the test pedal during the test, detect the ice-breaking optimization points in the real-time ice-breaking data, and generate an ice-breaking optimization report corresponding to the electric pedal based on the ice-breaking optimization points.

[0017] First of all, the present invention, by acquiring the test environment information of the electric pedal, is helpful to accurately analyze the test application scenarios corresponding to the electric pedal, and can reasonably configure its test operation parameters, so as to construct an ice-breaking test simulation environment that is highly consistent with the actual ice and snow conditions, and can more realistically simulate the scene where complex factors such as different ice hardness, thickness and snow density are intertwined, so that the test data of the electric pedal in the simulated environment is more valuable for reference. At the same time, by analyzing the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment, the present invention can deeply understand the actual performance of the electric pedal in various simulated ice and snow scenarios, including the specific conditions of power output, driving speed, stability and other aspects under conditions of different ice hardness, thickness and snow density, so as to accurately evaluate its ice-breaking ability and adaptability. The present invention generates a power supply strategy corresponding to the electric pedal based on the power loss rate, so as to understand the energy waste in the ice-breaking process. If the power loss rate is high, the power supply strategy can be adjusted in a targeted manner. , which can make the electric pedal distribute power more accurately when breaking ice, reduce unnecessary energy consumption, and extend the battery life of the electric pedal. The present invention predicts the ice-breaking effect of the electric pedal under different ice hardness conditions by using the ice-breaking efficiency evaluation framework. According to the prediction results, the appropriate electric pedal model and operation strategy can be planned in advance to avoid delays and waste of resources caused by poor ice-breaking effect in actual operation, which is helpful to optimize the design and improvement of the electric pedal, and adjust the design parameters such as motor power and pedal structure in a targeted manner to improve the adaptability and ice-breaking efficiency of the product when dealing with different ice hardness. Further, based on the key influencing factors, the present invention connects the preset road surface detection module with the electric pedal to obtain a test pedal, which can make the electric pedal more adaptable to complex ice-breaking environments. Through the real-time monitoring of key influencing factors such as ice thickness and hardness by the road surface detection module, the electric pedal can automatically adjust the working mode according to the feedback information, so as to maintain good ice-breaking performance under different road conditions. Therefore, the ice-breaking test method and system for electric pedals proposed in the present invention can improve the use quality of electric pedals in cold ice and snow environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic flow chart of an ice-breaking test method for an electric pedal provided in one embodiment of the present invention; Figure 2 A schematic diagram of modules for implementing an ice-breaking test system for an electric pedal provided in one embodiment of the present invention.

[0019] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0021] An embodiment of the present application provides an ice-breaking test method for an electric pedal. The execution subject of the ice-breaking test method for an electric pedal includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the ice-breaking test method for an electric pedal can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0022] Embodiment 1: Reference Figure 1 FIG. 1 is a flow chart of an ice-breaking test method for an electric pedal provided by an embodiment of the present invention. In this embodiment, the ice-breaking test method for an electric pedal includes: S1. Obtain the test environment information of the electric pedal, analyze the test application scenario corresponding to the electric pedal based on the test environment information, configure the test operation parameters corresponding to the electric pedal according to the test application scenario, and construct an ice-breaking test simulation environment corresponding to the electric pedal based on the test operation parameters.

[0023] The present invention helps to accurately analyze the test application scenarios corresponding to the electric pedal by acquiring the test environment information of the electric pedal, and can reasonably configure its test operation parameters to construct an ice-breaking test simulation environment that is highly consistent with actual ice and snow conditions. It can also more realistically simulate scenarios where complex factors such as different ice hardness, thickness, and snow density are intertwined, thereby making the test data of the electric pedal in the simulated environment more valuable for reference.

[0024] Among them, the electric pedal refers to an important component of electric vehicles used in the field of transportation, especially in cold areas or winter environments. Its function is affected by various factors under ice and snow weather conditions, and its performance in ice-breaking scenarios needs to be specially tested to ensure safety and user experience. Its normal operation in ice and snow environments involves multiple performances such as power output and interaction with the road surface, and is the core object of this ice-breaking test; the test environment information refers to external environmental parameters including but not limited to temperature, humidity, ice hardness, ice thickness, snow density, wind speed, and related information on the type of traffic scenario (such as urban roads, mountain roads, etc.) in which the electric pedal is used. Optionally, the acquisition of the test environment information of the electric pedal can be achieved through a multi-channel data acquisition card, such as: NI USB-6210 data acquisition card, which can simultaneously collect analog signals from multiple sensors, and convert them into digital signals for transmission to a computer for processing.

[0025] Furthermore, the present invention analyzes the test application scenarios corresponding to the electric pedal based on the test environment information, and can accurately outline the actual working conditions faced by the electric pedal, such as urban street scenes with low temperature and high hardness ice, or mountain road scenes with high humidity and thick snow. This makes subsequent testing of the electric pedal more targeted and can accurately simulate the ice-breaking conditions in various complex application scenarios, thereby effectively avoiding the blindness of the test and providing directional guidance for the reasonable configuration of the test operation parameters of the electric pedal.

[0026] Among them, the test application scenario refers to the specific situations related to ice breaking that the electric pedal may encounter in actual use, including but not limited to different geographical environments (such as urban roads, rural roads, mountain winding roads, bridges, etc.), different traffic conditions (such as traffic volume, driving speed range, etc.), under specific climatic conditions (such as temperature, humidity, wind speed, snowfall, etc.) and road ice and snow conditions (such as ice thickness, hardness, snow density, snow depth, etc.) The combination of the scene, optionally, the analysis of the test application scenario corresponding to the electric pedal can be achieved through a clustering analysis algorithm, such as: using the K-Means algorithm to take various environmental information parameters (such as temperature, ice thickness, snow density, etc.) as features of data points, and the data points can be clustered into different groups according to these features, and each group can represent a typical test application scenario.

[0027] Furthermore, the present invention configures the test operation parameters corresponding to the electric pedal according to the test application scenario, which can make the test highly realistic. When it is clearly a scene of thin ice on urban roads, the appropriate starting speed, torque and other parameters of the electric pedal can be set in a targeted manner, so that the test results can truly reflect its ice-breaking ability in the scenario and avoid test deviations caused by unreasonable parameters.

[0028] Among them, the test operation parameters refer to a series of key parameters that affect the operating state and performance of the electric pedal, which are set according to different test application scenarios during the electric pedal ice-breaking test. These parameters include but are not limited to: power-related parameters, energy supply parameters, control parameters, sensor-related parameters. Optionally, the test operation parameters corresponding to the configuration of the electric pedal can be achieved through an adaptive control algorithm, such as: using an adaptive control algorithm to build a reference model in an ideal ice-breaking scenario, and then adjusting the operating parameters of the electric pedal through an adaptive mechanism in different actual test application scenarios.

[0029] Furthermore, based on the test operation parameters, the present invention constructs an ice-breaking test simulation environment corresponding to the electric pedal, which can highly restore the actual usage conditions. When the environment is built according to appropriate parameters such as motor torque, speed range, battery output power, etc., the operating state of the electric pedal in actual ice and snow scenes (such as thin ice on city streets, thick snow and steep slopes in mountainous areas, etc.) can be accurately simulated, thereby making the test data more realistic.

[0030] Among them, the ice-breaking test simulation environment refers to a specific environment constructed by comprehensively considering the above-mentioned factors, which can simulate the ice-breaking situation of the electric pedal in the actual ice and snow environment. This environment can be realized in a laboratory or virtual environment, and can accurately reproduce the operating status of the electric pedal under different ice and snow conditions, including the interaction between the electric pedal and the ice layer and snow, the driving posture under different road conditions, and the ice-breaking effect under various parameter settings.

[0031] As an embodiment of the present invention, constructing an ice-breaking test simulation environment corresponding to the electric pedal based on the test operation parameters includes: classifying the test operation parameters to obtain a classification parameter set; identifying the weight attributes of each parameter in the classification parameter set; analyzing the core attribute points corresponding to the weight attributes; determining the environmental reference values ​​corresponding to the electric pedal based on the core attribute points; extracting key environmental factors in the environmental reference values; and constructing an ice-breaking test simulation environment corresponding to the electric pedal based on the key environmental factors.

[0032] Among them, the classification parameter set refers to a set formed by classifying the test operation parameters according to different properties and functions. For example, it can be divided into power parameters (such as motor torque, speed range), control parameters (such as anti-skid control parameters, braking parameters), energy parameters (such as battery output power) and other categories. The parameters under each category constitute the classification parameter set; the weight attribute refers to the relative importance of each test operation parameter in the process of building an ice-breaking test simulation environment. For example, in a thick ice breaking scenario, the weight of the motor torque may be higher because it directly determines the ability of the electric pedal to break the ice; and for a sloped ice and snow road scenario, the weight of the braking parameter will also increase accordingly; the core attribute point refers to the key point obtained by analyzing the weight attribute. For example, if the motor torque weight is high , its core attribute point is the matching relationship between the torque size and the thickness and hardness of the ice layer; if the weight of the anti-skid control parameter is high, the core attribute point is the optimal control strategy under different friction coefficients of ice and snow roads; the environmental reference value refers to the specific value or value range determined according to the core attribute point, which is used to guide the construction of the simulation environment. For example, for the motor torque requirement determined by a certain core attribute point, the environmental reference value may be the specific torque value range corresponding to a specific ice layer thickness, as well as the reference values ​​of corresponding parameters such as speed and battery power; the key environmental factors refer to the elements extracted from the environmental reference values ​​that play a key role in the construction of the ice-breaking test simulation environment. These factors directly affect the characteristics of the simulation environment, such as the hardness and thickness of the ice layer, the density and depth of the snow, the ambient temperature and humidity, and the slope and flatness of the simulated road.

[0033] Furthermore, the classification of the test operation parameters can be achieved through a cluster analysis algorithm, such as the K-Means algorithm, which regards the test operation parameters as data points, and the different value ranges or features of each parameter as dimensions. By calculating the distance between data points, similar parameters are clustered into one category; the identification of the weight attributes of each parameter in the classification parameter set can be achieved through an entropy weight method, such as: for each parameter in the classification parameter set, the weight is determined according to the discrete degree of its data. The greater the discrete degree of the data (that is, the greater the information entropy), the greater the role of the parameter in the comprehensive evaluation, and the higher the weight; the analysis of the core attribute points corresponding to the weight attributes can be achieved through the principal component The method can be implemented by a principal component analysis method, such as: performing principal component analysis on parameters with weight attributes to extract components that can represent the main information, and the parameter characteristics corresponding to these principal components are the core attribute points; the determination of the environmental reference value corresponding to the electric pedal can be implemented by numerical simulation tools, such as: ANSYS, MATLAB, Simulink and other tools; the extraction of key environmental factors in the environmental reference value can be implemented by a factor analysis method, such as: performing factor analysis on multiple variables in the environmental reference value, grouping variables with higher correlation into a group, and extracting common factors as key environmental factors; the construction of the ice-breaking test simulation environment corresponding to the electric pedal can be implemented by 3D modeling tools, such as: 3ds Max, Maya and other tools.

[0034] S2. Analyze the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment, query the power output parameters in the operating status data, and calculate the power loss rate of the electric pedal during the ice-breaking process based on the power output parameters.

[0035] By analyzing the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment, the present invention can gain an in-depth understanding of the actual performance of the electric pedal in various simulated ice and snow scenarios, including the power output, driving speed, stability and other aspects under conditions of different ice hardness, thickness and snow density, thereby accurately evaluating its ice-breaking ability and adaptability.

[0036] Among them, the operating status data refers to the data description of the overall operating status of the electric pedal in the ice-breaking test simulation environment obtained after comprehensively considering the status characteristics under all performance analysis dimensions, which includes whether the electric pedal has sufficient power, whether the operation is stable, how it can adapt to different ice and snow environments, and other information.

[0037] As an embodiment of the present invention, the analysis of the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment includes: collecting original data of the electric pedal in the ice-breaking test simulation environment; analyzing the data source corresponding to the original data; based on the data source, determining the performance analysis dimension corresponding to the electric pedal; querying the dimensional data set corresponding to the data in the performance analysis dimension; extracting the state characteristics of each subset of data in the dimensional data set; and analyzing the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment based on the state characteristics.

[0038] Among them, the raw data refers to the unprocessed basic data collected by the electric pedal in the ice-breaking test simulation environment through various sensors (such as speed sensors, torque sensors, temperature sensors, ice pressure sensors, etc.) and other monitoring equipment; the data source refers to the source of the raw data. For example, the motor speed data comes from the speed sensor installed on the motor shaft, the torque data may come from the torque monitoring device of the motor, the pressure data in contact with the ice layer comes from the pressure sensor on the contact surface between the pedal and the ice layer, and the ambient temperature data is obtained by the ambient temperature sensor; the performance analysis dimension refers to the different angles used to evaluate the performance of the electric pedal determined according to the data source. For example, from the power performance dimension, the motor torque and speed data can be analyzed to understand whether the power output of the electric pedal can meet the ice-breaking requirements; from the stability dimension, by analyzing the force data of the electric pedal during the ice-breaking process From the dimension of environmental adaptability, it is based on temperature, humidity and other data as well as the operating data of the electric pedal under different ice and snow conditions; the dimensional data set refers to the set of relevant data contained in each performance analysis dimension. Taking the power performance dimension as an example, its dimensional data set includes data on the change of motor torque value over time, data on the change of speed value, motor power consumption data, etc.; the state feature refers to the characteristic information reflected in each subset data in the dimensional data set that can reflect the operating status of the electric pedal in specific aspects. For example, in the torque data subset under the power performance dimension, if the torque value shows the characteristic of being continuously stable within a certain range during the ice breaking process, it means that the power output of the electric pedal is stable; if the torque fluctuates frequently and with a large amplitude, it means that the electric pedal encounters uneven resistance when breaking ice.

[0039] Furthermore, the collection of raw data of the electric pedal in the ice-breaking test simulation environment can be achieved through a sensor acquisition system, such as: speed sensor, torque sensor, pressure sensor, etc.; the analysis of the data source corresponding to the raw data can be achieved through sensor identification and mapping table, such as: assigning a unique identification to each sensor, and establishing a mapping table. By querying the mapping table, the sensor corresponding to each data point can be clearly identified, thereby determining the data source; the determination of the performance analysis dimension corresponding to the electric pedal can be achieved through hierarchical analysis, such as: establishing a hierarchical model, taking the overall performance of the electric pedal as the target layer, and the middle layer is different performance analysis dimensions; the query of the dimensional data set corresponding to the data in the performance analysis dimension can be achieved through database query technology, such as: MySQL, SQLite, etc.; the extraction of state characteristics of each subset of data in the dimensional data set can be achieved through data visualization tools, such as: Matplotlib, Seaborn and other tools; the analysis of the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment can be achieved through machine learning algorithms, such as: decision tree algorithm, support vector machine and other algorithms.

[0040] The present invention can clarify the actual performance of the motor torque and speed in the ice-breaking process by querying the power output parameters in the operating status data, so as to know whether the electric pedal has sufficient power to break ice layers of different thicknesses and hardnesses. Secondly, it helps to analyze the efficiency of the power system. According to the comparison between the power output parameters and the energy consumption data, it can be determined whether the energy is reasonably utilized during ice breaking, providing a basis for optimizing energy management.

[0041] Among them, the power output parameters refer to key indicators that can reflect the power performance of the electric pedal during operation, mainly including: motor torque, motor speed, power output, power response time, etc. Optionally, the query of the power output parameters in the operating status data can be achieved through data mining tools, such as: Weka, RapidMiner and other tools.

[0042] Furthermore, the present invention calculates the power loss rate of the electric pedal during ice breaking based on the power output parameters, which helps to accurately evaluate the energy utilization efficiency. By clarifying the power loss rate, it can be known what proportion of the power actually used to overcome the resistance of the ice layer during ice breaking accounts for the total power output, thereby understanding the effective utilization of energy.

[0043] Among them, the power loss rate refers to the percentage of power loss of the electric pedal during the ice-breaking process to the total power output, which reflects how much of the power output of the electric pedal is not effectively used for breaking ice during the ice-breaking process, but is lost in other forms (such as friction, mechanical loss, etc.).

[0044] As an embodiment of the present invention, the calculating the power loss rate of the electric pedal during ice breaking based on the power output parameter includes: The power loss rate of the electric pedal during ice breaking is calculated using the following formula:

[0045] in, represents the power loss rate of the electric pedal during ice breaking, and Respectively represent the start and end time of the ice-breaking process. Indicates that the electric pedal is at time The total power output, Indicates that the electric pedal is at time The effective power actually used for breaking ice.

[0046] Specifically, the total power refers to the power of the electric pedal at time The total power output is a function of time. At different times, the total power output of the electric pedal will be different due to the changes in motor torque and speed. The effective power refers to the effective power actually used by the electric pedal to break ice at the time. It is also a function of time, and its size depends on the force of the electric pedal on the ice. and the speed of the pedal in the direction of breaking the ice .

[0047] S3. Based on the power loss rate, a power supply strategy corresponding to the electric pedal is generated; based on the power supply strategy, multiple ice-breaking tests are performed on the electric pedal to obtain an ice-breaking record set; an ice-breaking efficiency index corresponding to the records in the ice-breaking record set is calculated; and based on the ice-breaking efficiency index, an ice-breaking efficiency evaluation framework corresponding to the electric pedal is constructed.

[0048] The present invention generates a power supply strategy corresponding to the electric pedal based on the power loss rate, so as to understand the energy waste in the ice-breaking process. If the power loss rate is high, the power supply strategy is adjusted specifically to enable the electric pedal to distribute power more accurately during ice-breaking, thereby reducing unnecessary energy consumption and extending the battery life of the electric pedal.

[0049] Among them, the power supply strategy refers to the power output plan of the electric pedal in different operating scenarios (such as different ice thickness and hardness, different ambient temperature, etc.) formulated according to the performance power index, including specific power supply parameter settings such as the starting power of the motor, the power adjustment method during operation, and the torque output curve.

[0050] As an embodiment of the present invention, generating a power supply strategy corresponding to the electric pedal based on the power loss rate includes: based on the power loss rate, collecting historical power loss corresponding to the electric pedal; analyzing loss fluctuation characteristics corresponding to the historical power loss; based on the loss fluctuation characteristics, determining a loss adjustment direction corresponding to the electric pedal; based on the loss adjustment direction, analyzing a performance variation range corresponding to the electric pedal; extracting a performance power index in the performance variation range; and generating a power supply strategy corresponding to the electric pedal based on the performance power index.

[0051] Among them, the historical power loss refers to the power loss recorded by the electric pedal in the past period of time (including different ice-breaking scenarios, different working hours, etc.), such as the accumulation of the difference between the motor output power and the actual effective power used for ice breaking in each ice-breaking operation over time, or the power loss value under different ambient temperatures, ice thickness and other conditions; the loss fluctuation characteristics refer to the characteristics obtained by analyzing the historical power loss data, which include the frequency, amplitude, periodicity and other characteristics of the power loss changes; the loss adjustment direction refers to the direction of optimizing the power loss determined according to the loss fluctuation characteristics. For example, if the loss fluctuation characteristics show that the power loss increases sharply at high speed, then the loss adjustment direction may be to limit the high speed operating condition or optimize the power transmission path at high speed; if it is found that the power loss is too large under a specific ice layer hardness, the loss adjustment direction may be to adjust the motor torque and power output mode for the ice layer of that hardness to reduce power loss; the performance variation range refers to the range in which the performance of the electric pedal can change in terms of power, efficiency, stability, etc. when the electric pedal is adjusted according to the loss adjustment direction. For example, when adjusting the power supply to reduce power loss, the ice-breaking speed of the electric pedal will change within a specific range, and this range is the performance variation range; the performance power index refers to a key indicator extracted from the performance variation range that can comprehensively reflect the power performance of the electric pedal. It is a numerical value that integrates multiple performance parameters, such as ice-breaking speed, torque output stability, energy utilization rate, etc., calculated according to certain weights.

[0052] Furthermore, the collection of historical power loss corresponding to the electric pedal can be achieved through a data recorder, such as: various data of the pedal during driving can be queried and recorded through the data recorder, including power-related data of the electric pedal; the analysis of loss fluctuation characteristics corresponding to the historical power loss can be achieved through a trend decomposition method, such as: decomposing the historical power loss data into trend items, seasonal items (if periodicity exists) and random items, so as to analyze the characteristics of each part separately; the determination of the loss adjustment direction corresponding to the electric pedal can be achieved through an optimization algorithm, such as: minimizing the power loss as the objective function, establishing constraints based on the relationship between the power loss and related variables (such as motor parameters, environmental factors, etc.), and LP or NLP algorithm is used to solve and obtain the loss adjustment direction; the analysis of the performance variation range corresponding to the electric pedal can be implemented by simulation tools, such as Simulink, AMESim and other tools; the extraction of the performance power index in the performance variation range can be implemented by principal component analysis, such as by calculating the contribution rate of each principal component and selecting the main principal component to construct the performance power index; the generation of the power supply strategy corresponding to the electric pedal can be implemented by a model predictive control method, such as according to the established electric pedal performance model (including power loss and performance power index related models), the operating state and performance of the electric pedal in a future period of time are predicted in each control cycle, thereby generating a power supply strategy.

[0053] The present invention performs multiple ice-breaking tests on the electric pedal based on the power supply strategy to obtain an ice-breaking record set, so as to comprehensively and accurately evaluate the effectiveness of the new power supply strategy. Data during each ice-breaking process, such as ice-breaking speed, degree of ice cracking, energy consumption of the electric pedal and other information are all recorded in the ice-breaking record set. By analyzing these data, it can be intuitively seen whether the new strategy has improved the ice-breaking efficiency and whether the power resources are allocated more reasonably, thereby providing a basis for the optimization direction of the strategy.

[0054] Among them, the ice-breaking record set refers to a series of data sets covering information of multiple dimensions collected and sorted during multiple ice-breaking tests on the electric pedal after adjusting the power supply strategy. This data set contains detailed data in each ice-breaking test. From the perspective of the electric pedal itself, there are changes in power parameters such as motor torque, speed, power output, etc. during the entire ice-breaking process. These parameters can reflect the power performance of the electric pedal under the new power supply strategy. Optionally, the multiple ice-breaking tests on the electric pedal can be achieved through experimental testing methods, such as: field ice-breaking tests, simulated ice rink tests.

[0055] The present invention calculates the ice-breaking efficiency index corresponding to the ice-breaking record set, and can clearly compare the ice-breaking efficiency of the electric pedal under different test scenarios and different power supply strategies, so as to quickly evaluate the effect of the power supply strategy adjustment, which is helpful to optimize resource allocation. According to the size and changing trend of the index, it can be clearly determined under what ice conditions and power supply methods the electric pedal can achieve the best ice-breaking effect with the least resource consumption.

[0056] Among them, the ice-breaking efficiency index refers to an indicator used to measure the efficiency of the electric pedal in the ice-breaking process, which comprehensively considers multiple factors such as the volume of broken ice, the time used, power consumption and ice conditions.

[0057] As an embodiment of the present invention, the calculating of the ice-breaking efficiency index corresponding to the record in the ice-breaking record set includes: The icebreaking efficiency index corresponding to the record in the icebreaking record set is calculated using the following formula:

[0058] in, Indicates the icebreaking efficiency index corresponding to the records in the icebreaking record set. Indicates the number of successful icebreaking in the icebreaking record set, Indicates the number of successful icebreaking times. Indicates The volume of ice broken by each icebreaking Indicates The time taken for the ice-breaking process Indicates During the ice-breaking process, the electric pedal The ice breaking power function, The number of categories representing ice conditions, The category index representing the ice conditions, Indicates The average thickness of ice in ice-like conditions, Indicates Total area of ​​ice-breaking under ice-like conditions, Indicated in Total cumulative time of icebreaking under ice-like conditions, Indicated in The electric pedal is at the time of breaking ice in ice-like conditions. The cumulative power function of It represents the movement weighting coefficient of the electric pedal during the entire ice-breaking test.

[0059] In detail, the icebreaking power function refers to During the first ice-breaking process, the electric pedal The power of the electric pedal is described in the process of breaking ice, which describes the change of the power of the electric pedal over time; the ice layer condition refers to various characteristics of the ice layer, including the thickness, hardness, density and other physical characteristics of the ice layer; the cumulative power function refers to the cumulative power function of the electric pedal in the first During ice breaking under ice-like conditions, the electric pedal The accumulated power reflects the accumulated power of the electric pedal during the entire ice-breaking process under specific ice conditions; the movement weighting coefficient refers to the movement weighting coefficient of the electric pedal during the entire ice-breaking test process, which takes into account the influence of the moving distance of the electric pedal during the ice-breaking process on the ice-breaking efficiency.

[0060] The present invention constructs an ice-breaking efficiency evaluation framework corresponding to the electric pedal based on the ice-breaking efficiency index, which helps to accurately locate the advantages and disadvantages of the ice-breaking performance of the electric pedal. The ice-breaking process of the electric pedal can be analyzed from multiple dimensions. For example, the ice-breaking efficiency of the electric pedal under different ice conditions such as thin ice, thick ice, and hard ice can be examined respectively, thereby providing a clear direction for the optimization of the pedal.

[0061] Among them, the ice-breaking efficiency evaluation framework refers to a comprehensive and systematic system for evaluating the ice-breaking efficiency of electric pedals. It is based on core evaluation elements and organically combines various evaluation dimensions to form a complete evaluation mechanism. This framework may include indicator systems, evaluation methods, data collection standards and other contents under different evaluation dimensions.

[0062] As an embodiment of the present invention, the ice-breaking efficiency evaluation framework corresponding to the electric pedal is constructed based on the ice-breaking efficiency index, including: analyzing the influencing factors corresponding to the ice-breaking efficiency index; determining the evaluation dimensions corresponding to the electric pedal based on the influencing factors; analyzing the dimensional correlation between the evaluation dimensions; based on the dimensional correlation, extracting the core evaluation elements in the evaluation dimensions; based on the core evaluation elements, constructing the ice-breaking efficiency evaluation framework corresponding to the electric pedal.

[0063] Among them, the influencing factors refer to various conditions and variables that affect the ice-breaking efficiency index, including but not limited to the characteristics of the ice layer, such as ice thickness, ice hardness, ice density, etc.; the performance parameters of the electric pedal itself, such as motor power, torque, speed, etc.; external environmental conditions, such as ambient temperature, humidity, wind force, etc.; and the operating parameters of the electric pedal during the ice-breaking process, such as ice-breaking speed, ice-breaking angle, etc.; the evaluation dimension refers to the direction of measuring the ice-breaking efficiency of the electric pedal from different angles. Based on the above-mentioned influencing factors, multiple evaluation dimensions can be determined. For example, from the perspective of ice layer characteristics, there can be an evaluation dimension of "ice-breaking efficiency under different ice thicknesses"; from the perspective of the electric pedal's own performance, there is a dimension of "ice-breaking efficiency under different motor powers"; from the perspective of the external environment, there is a dimension of "ice-breaking efficiency under different ambient temperatures". degree; from the operating parameter aspect, there is the dimension of "ice-breaking efficiency at different ice-breaking speeds" and so on; the dimension correlation refers to the inherent connection between the various evaluation dimensions. For example, the motor power of the electric pedal (belonging to the performance dimension of the electric pedal itself) is correlated with the ice-breaking speed (belonging to the operating parameter dimension). Generally speaking, the greater the motor power, the faster the ice-breaking speed, which in turn affects the ice-breaking efficiency; the core evaluation factors refer to the factors that play a key role in the evaluation of ice-breaking efficiency extracted from various evaluation dimensions after analyzing the dimension correlation. For example, in the dimension of "ice-breaking efficiency at different ice thicknesses", the critical value of ice thickness (such as exceeding a certain thickness, the ice-breaking efficiency drops sharply) can be the core evaluation factor; in the dimension of "ice-breaking efficiency at different motor powers", the optimal range of motor power (the ice-breaking efficiency is the highest within this range) is the core evaluation factor.

[0064] Furthermore, the analysis of the influencing factors corresponding to the ice-breaking efficiency index can be achieved through an orthogonal experiment, such as: by designing an orthogonal experiment, systematically changing the ice thickness, hardness, motor power and speed of the electric pedal, and ambient temperature and other factors that can affect the ice-breaking efficiency, and then measuring the ice-breaking efficiency index corresponding to each experiment; the determination of the evaluation dimension corresponding to the electric pedal can be achieved through a principal component analysis method, such as: performing principal component analysis on multiple variables related to the electric pedal ice-breaking (such as motor torque, speed, energy consumption, and ice layer characteristics, etc.) to obtain the evaluation dimension; the analysis of the dimensional correlation between the evaluation dimensions can be achieved through a structural equation model, such as: by constructing a structural equation model A process model is developed, in which each evaluation dimension is taken as a latent variable, and based on the existing icebreaking test data, the causal relationship and correlation relationship between the evaluation dimensions are analyzed; the extraction of the core evaluation elements in the evaluation dimensions can be achieved through factor analysis methods, tools or algorithms, such as: factor analysis is performed on the data contained in each evaluation dimension, and the core factors that can represent the main characteristics of the dimension are extracted, and these core factors are the core evaluation elements; the construction of the icebreaking efficiency evaluation framework corresponding to the electric pedal can be achieved through the fuzzy comprehensive evaluation method, such as: by establishing a fuzzy evaluation set, determining a fuzzy relationship matrix and performing fuzzy synthesis operations, an icebreaking efficiency evaluation framework that can comprehensively consider multiple fuzzy evaluation elements is constructed.

[0065] S4. Utilize the ice-breaking efficiency evaluation framework to predict the ice-breaking effect of the electric pedal under conditions of different ice hardnesses. Based on the ice-breaking effect, analyze the force changes of the electric pedal during the test and determine the key influencing factors of the force changes.

[0066] The present invention predicts the ice-breaking effect of the electric pedal under conditions of different ice hardness by utilizing the ice-breaking efficiency evaluation framework, and can plan suitable electric pedal models and operation strategies in advance based on the prediction results, thereby avoiding delays and waste of resources caused by poor ice-breaking effects in actual operations. This helps to optimize the design and improvement of the electric pedal, and specifically adjust design parameters such as motor power, pedal structure, etc., to improve the product's adaptability and ice-breaking efficiency when dealing with different ice hardnesses.

[0067] Among them, different ice layer hardness conditions refer to the different compressive strength and toughness states of the ice layer in physical properties, and the ice layer hardness is affected by many factors, such as: temperature factors, formation process factors, impurity content factors; the ice-breaking effect refers to the comprehensive results achieved by the electric pedal when breaking the ice layer, mainly including the following aspects: ice-breaking degree, ice-breaking efficiency, ice-breaking stability, etc. Optionally, the prediction of the ice-breaking effect of the electric pedal under different ice layer hardness conditions can be achieved through finite element analysis tools, such as: ANSYS, ABAQUS and other tools.

[0068] Furthermore, based on the ice-breaking effect, the present invention analyzes the force changes of the electric pedal in the test, which helps to gain a deeper understanding of the working state of the electric pedal. The ice-breaking effect directly reflects the result of the interaction between the electric pedal and the ice layer. By correlating and analyzing the force changes, the dynamic changes of the force borne by the electric pedal under different ice-breaking results can be clearly known, thereby more accurately grasping its actual working conditions during the ice-breaking process.

[0069] Among them, the force changes mentioned here refer to the changes in the size, direction and point of action of the various forces (including but not limited to pressure, shear force, friction force, etc.) that the electric pedal is subjected to during the ice-breaking test as time or the ice-breaking process progresses. For example, when the ice layer begins to break and is completely broken, the pressure on the electric pedal will gradually increase, and then suddenly decrease when it reaches the critical value of ice breaking, and then new friction changes will be generated as the broken ice cubes rub against the pedal.

[0070] As an embodiment of the present invention, the analysis of force changes of the electric pedal during the test based on the ice-breaking effect includes: analyzing ice layer cracking characteristics corresponding to the ice-breaking effect; determining the action mode of the electric pedal during the ice-breaking process based on the ice layer cracking characteristics; analyzing the interaction relationship between the action modes; extracting the key action links in the action mode based on the interaction relationship; and analyzing the force changes of the electric pedal during the test based on the key action links.

[0071] Among them, the ice cracking characteristics refer to the description of the phenomena related to the changes in various physical properties of the ice layer under the action of the electric pedal, including the shape of the ice cracks, such as straight cracks, mesh cracks or irregular fragments; the degree of cracking, such as whether the ice layer is completely crushed into small particles, or only larger blocks are separated; the direction of cracking, whether it is neatly broken along the direction of the electric pedal, or there are multiple cracking trends in different directions; the action mode refers to the way the electric pedal interacts with the ice layer during the ice breaking process, which involves the power output form of the electric pedal, such as cutting the ice layer by a rotating tool, breaking the ice layer by vibration, or using Use pressure to squeeze the ice layer to make it break; the contact mode between the pedal and the ice layer is single-point contact, multi-point contact or surface contact; the interaction relationship refers to the inherent connection and mutual influence between different action modes during the ice-breaking process of the electric pedal. For example, there is a synergistic or restrictive relationship between the speed of the rotating tool cutting the ice layer and the frequency of the vibration breaking the ice layer. If the rotation speed is too fast and the vibration frequency is not coordinated, it will affect the effect and direction of the ice breaking and change the ice breaking characteristics; the key action link refers to the specific part or process that has an important influence on the ice-breaking effect and the force applied to the electric pedal, which is determined after analyzing the interaction relationship between various action modes.

[0072] Furthermore, the analysis of the ice layer rupture characteristics corresponding to the ice-breaking effect can be achieved through a strain gauge sensor array, such as: arranging a strain gauge sensor array on the surface or inside the ice layer, when the ice layer breaks, the sensor will detect the change in stress inside the ice layer, and obtain the ice layer rupture characteristics; the determination of the action mode of the electric pedal in the ice-breaking process can be achieved through a motion capture system, such as: Vicon, OptiTrack, etc.; the analysis of the interaction relationship between the action modes can be achieved through multivariate data analysis methods, such as: principal component analysis, partial least squares regression and other methods; the extraction of key action links in the action mode can be achieved through a decision tree algorithm, such as: C4.5, CART and other algorithms; the analysis of the force changes of the electric pedal during the test can be achieved through finite element analysis tools, such as: ANSYS, ABAQUS and other tools.

[0073] The present invention determines the key influencing factors in the force change, such as ice hardness, pedal movement mode, etc., and can make targeted improvements to the structure and materials of the pedal accordingly, thereby enhancing its stability and durability in the ice-breaking process. Secondly, it helps to improve the ice-breaking efficiency. By understanding the relationship between the key influencing factors and the force, these factors are reasonably adjusted to enable the electric pedal to work under a more optimal force state, reduce unnecessary energy loss, and achieve efficient ice-breaking.

[0074] Among them, the key influencing factors refer to various conditions and variables that play an important role and significantly affect the force changes of the electric pedal during the ice-breaking process, including: ice layer characteristics, electric pedal characteristics itself, ice-breaking operation parameters and other factors. Optionally, the determination of the key influencing factors in the force changes can be achieved through sensitivity analysis methods, such as: Sobol method, Morris method, etc.

[0075] S5. Based on the key influencing factors, a preset road surface detection module is data-connected with the electric pedal to obtain a test pedal, real-time ice-breaking data of the test pedal during the test is collected, ice-breaking optimization points in the real-time ice-breaking data are detected, and based on the ice-breaking optimization points, an ice-breaking optimization report corresponding to the electric pedal is generated.

[0076] Based on the key influencing factors, the present invention establishes data connection between a preset road surface detection module and the electric pedal to obtain a test pedal, which can make the electric pedal more adaptable to complex ice-breaking environments. Through real-time monitoring of key influencing factors such as ice thickness and hardness by the road surface detection module, the electric pedal can automatically adjust the working mode according to feedback information, thereby maintaining good ice-breaking performance under different road conditions.

[0077] Among them, the preset road surface detection module refers to a device specially designed to measure and analyze the relevant characteristics of the road surface on which the electric pedal operates (mainly the ice surface here). It integrates a variety of sensors and analysis units and has the following functions: ice thickness detection function, ice hardness detection function, ice structure and uniformity analysis function, etc.; the test pedal refers to a new type of equipment that has been improved and integrated with the preset road surface detection module and the electric pedal through data connection. It not only has the original ice-breaking function of the electric pedal, but also can obtain the information about the ice layer and the environment collected by the road surface detection module in real time. Optionally, the data connection between the preset road surface detection module and the electric pedal can be achieved through a wired connection method, such as: serial communication interface, universal serial bus, etc.

[0078] Furthermore, the present invention can accurately reflect the actual working state of the test pedal under different ice conditions by collecting real-time ice-breaking data of the test pedal during the test process, understand the matching degree between the power output, force change and other conditions of the electric pedal and the ice layer characteristics, and then optimize the structural design and power system parameters of the pedal in a targeted manner to improve its ice-breaking performance and efficiency. Among them, the real-time icebreaking data refers to various ice-breaking related data collected through the data acquisition sequence and presented in the real-time data view during the test pedal icebreaking operation, including real-time power data of the test pedal, such as the real-time power, torque, and speed of the motor, which reflect the working intensity and performance of the test pedal; real-time status data of the ice layer, such as the real-time measurement value of the ice layer thickness, the area and shape changes of the ice layer fragmentation, the expansion speed and direction of the cracks, etc.

[0079] As an embodiment of the present invention, the real-time ice-breaking data of the test pedal during the test process is collected, including: marking the ice-breaking operation information corresponding to the test pedal; analyzing the operation mode corresponding to the ice-breaking operation information; extracting the core operation elements in the operation mode; based on the core operation elements, constructing a data collection sequence corresponding to the test pedal; converting the data collection sequence into its corresponding real-time data view; collecting real-time ice-breaking data in the real-time data view.

[0080] Among them, the ice-breaking operation information refers to a series of descriptive contents related to the test pedal during the ice-breaking process, including the time information of the operation, such as the start time, duration and time nodes of different stages; the environmental information of the operation, such as the ambient temperature, humidity, whether there is water flow and meteorological conditions such as wind speed, which will affect the state of the ice layer and the performance of the test pedal; the initial characteristic information of the ice layer, such as the approximate thickness range of the ice layer, the visible hardness (such as whether it is glossy, surface flatness and other intuitive features to judge the hardness of the ice layer), the area of ​​the ice layer and whether there is a special ice layer structure (such as cracks, stratification, etc.); the operation mode refers to the specific working method and strategy of the test pedal during the ice-breaking process, which covers the movement mode of the test pedal, such as linear ice-breaking, spiral ice-breaking or irregular trajectory ice-breaking. Different movement modes will affect the efficiency of ice-breaking and the shape of ice-breaking; the power output mode, that is, whether the electric pedal outputs constant power when breaking ice, adjusts the power adaptively according to the resistance of the ice layer, or outputs according to the preset power curve, which determines the test pedal's effect on the ice layer. The magnitude and change of the applied force; the core operating elements refer to the parts that have a key impact on the ice-breaking operation results and the test pedal performance determined after analyzing the operation mode. From the perspective of the motion mode, the key nodes of the motion trajectory (such as turning points, acceleration points, etc.) and the adjustment range of the motion speed are the core operating elements, which directly affect the uniformity and continuity of the ice layer breaking; the data acquisition sequence refers to the order and method designed according to the core operating elements for collecting various data of the test pedal during the ice-breaking process. For example, in chronological order, the initial power parameters and environmental parameters are collected when the test pedal is started, and then the position, speed and force data of the pedal are collected according to the set key nodes of the motion trajectory during the movement; the real-time data view refers to presenting the data obtained by the data acquisition sequence in an intuitive and visual way to facilitate real-time observation and analysis. It can be a graphical interface, in which the horizontal axis represents time and the vertical axis represents different types of data (such as power parameters, ice thickness, pedal force, etc.), and the change trend of the data is displayed in the form of curves, bar charts, etc.

[0081] Furthermore, the marking of the icebreaking operation information corresponding to the test pedal can be implemented through document management tools, such as Microsoft Word, Excel and other tools; the analysis of the operation mode corresponding to the icebreaking operation information can be implemented through data analysis and statistical tools, such as MATLAB, SPSS and other tools; the extraction of core operation elements in the operation mode can be implemented through the PCA method, such as PCA can convert these related variables into a set of unrelated principal components, and determine the core operation elements according to the contribution rate of each principal component and the meaning of the variables contained; the construction of the data acquisition sequence corresponding to the test pedal can be implemented through a script programming language, such as Python, C++ and other programming languages; the conversion of the data acquisition sequence into its corresponding real-time data view can be implemented through data visualization tools, such as Matplotlib, Seaborn in Python, D3.js in JavaScript and other tools; the collection of real-time icebreaking data in the real-time data view can be implemented through real-time data acquisition tools, such as LabVIEW, OPC and other tools.

[0082] The present invention can greatly improve the ice-breaking efficiency by detecting the ice-breaking optimization point in the real-time ice-breaking data. By accurately locating the optimization point, the operating mode of the test pedal, such as power output, motion trajectory, etc., can be adjusted to make the ice-breaking process smoother and faster, reduce the ineffective operation time on the ice layer, and thus achieve the energy-saving goal.

[0083] Among them, the ice-breaking optimization point refers to the key link or factor reflected in the real-time ice-breaking data, which can further improve the ice-breaking efficiency, reduce energy consumption, improve the ice-breaking quality and extend the service life of the equipment by adjusting relevant parameters or operating methods. Optionally, the detection of the ice-breaking optimization point in the real-time ice-breaking data can be achieved through a machine learning algorithm, such as: decision tree algorithm, support vector machine, cluster analysis and other algorithms.

[0084] The present invention generates an ice-breaking optimization report corresponding to the electric pedal based on the ice-breaking optimization point, which helps to optimize the operation process. The operation parameters and operation mode can be adjusted according to the report to make the ice-breaking operation more scientific and efficient, reduce unnecessary repeated operations and waste of resources, and reasonably arrange the speed and power usage of the electric pedal in different ice layer areas, so as to take preventive measures in advance and ensure the stable operation of the pedal equipment.

[0085] Among them, the icebreaking optimization report refers to a comprehensive document generated based on the analysis of icebreaking optimization points, which is specifically aimed at improving the performance and operation process of electric pedals in icebreaking operations. It describes the basic situation of this icebreaking operation, including the operating environment (such as temperature and water flow conditions in different scenarios such as polar regions and inland rivers in winter), ice layer characteristics (such as thickness range, hardness changes, structural characteristics, etc.), operation scale (such as icebreaking area, duration, etc.) and basic information of the electric pedal (model, initial design parameters, etc.). Optionally, the generation of the icebreaking optimization report corresponding to the electric pedal can be achieved through a report generation automation tool, such as: Jupyter Notebook, ReportLab and other tools.

[0086] First of all, the present invention, by acquiring the test environment information of the electric pedal, is helpful to accurately analyze the test application scenarios corresponding to the electric pedal, and can reasonably configure its test operation parameters, so as to construct an ice-breaking test simulation environment that is highly consistent with the actual ice and snow conditions, and can more realistically simulate the scene where complex factors such as different ice hardness, thickness and snow density are intertwined, so that the test data of the electric pedal in the simulated environment is more valuable for reference. At the same time, by analyzing the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment, the present invention can deeply understand the actual performance of the electric pedal in various simulated ice and snow scenarios, including the specific conditions of power output, driving speed, stability and other aspects under conditions of different ice hardness, thickness and snow density, so as to accurately evaluate its ice-breaking ability and adaptability. The present invention generates a power supply strategy corresponding to the electric pedal based on the power loss rate, so as to understand the energy waste in the ice-breaking process. If the power loss rate is high, the power supply strategy can be adjusted in a targeted manner. , which can make the electric pedal distribute power more accurately when breaking ice, reduce unnecessary energy consumption, and extend the battery life of the electric pedal. The present invention predicts the ice-breaking effect of the electric pedal under different ice hardness conditions by using the ice-breaking efficiency evaluation framework. According to the prediction results, the appropriate electric pedal model and operation strategy can be planned in advance to avoid delays and waste of resources caused by poor ice-breaking effect in actual operation, which is helpful to optimize the design and improvement of the electric pedal, and adjust the design parameters such as motor power and pedal structure in a targeted manner to improve the adaptability and ice-breaking efficiency of the product when dealing with different ice hardness. Further, based on the key influencing factors, the present invention connects the preset road surface detection module with the electric pedal to obtain a test pedal, which can make the electric pedal more adaptable to complex ice-breaking environments. Through the real-time monitoring of key influencing factors such as ice thickness and hardness by the road surface detection module, the electric pedal can automatically adjust the working mode according to the feedback information, so as to maintain good ice-breaking performance under different road conditions. Therefore, the ice-breaking test method and system for electric pedals proposed in the present invention can improve the use quality of electric pedals in cold ice and snow environments.

[0087] Example 2 like Figure 2 , which is a module schematic diagram of an ice-breaking test system for an electric pedal provided in one embodiment of the present invention.

[0088] The ice-breaking test system 200 for electric pedals described in the present invention can be installed in an electronic device. According to the functions to be implemented, the ice-breaking test system 200 for electric pedals can include an environment construction module 201, a loss calculation module 202, a framework construction module 203, an influencing factor module 204, and a report generation module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0089] In this embodiment, the functions of each module / unit are as follows: An environment construction module 201 is used to obtain test environment information of the electric pedal, analyze the test application scenario corresponding to the electric pedal based on the test environment information, configure the test operation parameters corresponding to the electric pedal according to the test application scenario, and construct an ice-breaking test simulation environment corresponding to the electric pedal based on the test operation parameters; The loss calculation module 202 is used to analyze the operation status data corresponding to the electric pedal in the ice-breaking test simulation environment, query the power output parameters in the operation status data, and calculate the power loss rate of the electric pedal during the ice-breaking process based on the power output parameters; A framework construction module 203 is used to adjust the power supply strategy of the electric pedal based on the power loss rate, perform multiple ice-breaking tests on the electric pedal based on the power supply strategy to obtain an ice-breaking record set, calculate the ice-breaking efficiency index corresponding to the record in the ice-breaking record set, and construct an ice-breaking efficiency evaluation framework corresponding to the electric pedal based on the ice-breaking efficiency index; The influencing factor module 204 is used to use the ice-breaking efficiency evaluation framework to predict the ice-breaking effect of the electric pedal under different ice hardness conditions, analyze the force change of the electric pedal during the test based on the ice-breaking effect, and determine the key influencing factors in the force change; The report generation module 205 is used to connect the preset road surface detection module with the electric pedal based on the key influencing factors to obtain a test pedal, collect real-time ice-breaking data of the test pedal during the test, detect the ice-breaking optimization points in the real-time ice-breaking data, and generate an ice-breaking optimization report corresponding to the electric pedal based on the ice-breaking optimization points.

[0090] In detail, the modules described in the ice-breaking test system 200 for an electric pedal described in an embodiment of the present invention adopt the same technical means as the ice-breaking test method for an electric pedal described in the accompanying drawings when in use, and can produce the same technical effects, which will not be repeated here.

[0091] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. An ice-breaking test method for an electric pedal, characterized in that: The method comprises: Acquire test environment information of the electric pedal, analyze the test application scenario corresponding to the electric pedal based on the test environment information, configure the test operation parameters corresponding to the electric pedal according to the test application scenario, and construct an ice-breaking test simulation environment corresponding to the electric pedal based on the test operation parameters; Analyzing the operating status data corresponding to the electric pedal in the ice-breaking test simulation environment, querying the power output parameters in the operating status data, and calculating the power loss rate of the electric pedal during the ice-breaking process based on the power output parameters; Based on the power loss rate, adjusting the power supply strategy of the electric pedal, based on the power supply strategy, performing multiple ice-breaking tests on the electric pedal to obtain an ice-breaking record set, calculating the ice-breaking efficiency index corresponding to the record in the ice-breaking record set, and constructing an ice-breaking efficiency evaluation framework corresponding to the electric pedal based on the ice-breaking efficiency index; The ice-breaking efficiency evaluation framework is used to predict the ice-breaking effect of the electric pedal under different ice hardness conditions. Based on the ice-breaking effect, the force change of the electric pedal during the test is analyzed to determine the key influencing factors in the force change. Based on the key influencing factors, a preset road surface detection module is data-connected with the electric pedal to obtain a test pedal, real-time ice-breaking data of the test pedal during the test is collected, and the ice-breaking optimization points in the real-time ice-breaking data are detected. Based on the ice-breaking optimization points, an ice-breaking optimization report corresponding to the electric pedal is generated.

2. The ice-breaking test method for an electric pedal as claimed in claim 1, characterized in that: The step of constructing an ice-breaking test simulation environment corresponding to the electric pedal based on the test operation parameters includes: Classifying the test running parameters to obtain a classification parameter set; Identifying a weight attribute of each parameter in the classification parameter set; Analyze the core attribute points corresponding to the weight attributes; Based on the core attribute point, determining an environmental reference value corresponding to the electric pedal; Extracting key environmental factors from the environmental reference values; Based on the key environmental factors, an ice-breaking test simulation environment corresponding to the electric pedal is constructed.

3. The ice-breaking test method for an electric pedal as claimed in claim 1, characterized in that: The analyzing the running status data corresponding to the electric pedal in the ice-breaking test simulation environment includes: Collecting raw data of the electric pedal in the ice-breaking test simulation environment; Analyze the data source corresponding to the original data; Based on the data source, determining a performance analysis dimension corresponding to the electric pedal; Querying a dimension data set corresponding to the data in the performance analysis dimension; Extracting state features of each subset of data in the dimensional data set; Based on the state characteristics, the operating state data corresponding to the electric pedal in the ice-breaking test simulation environment is analyzed.

4. The ice-breaking test method for an electric pedal as claimed in claim 1, characterized in that: The calculating, based on the power output parameter, the power loss rate of the electric pedal during the ice breaking process comprises: The power loss rate of the electric pedal during ice breaking is calculated using the following formula: in, represents the power loss rate of the electric pedal during ice breaking, and Respectively represent the start and end time of the ice-breaking process. Indicates that the electric pedal is at time The total power output, Indicates that the electric pedal is at time The effective power actually used for breaking ice.

5. The ice-breaking test method for an electric pedal according to claim 1, characterized in that: The generating a power supply strategy corresponding to the electric pedal based on the power loss rate includes: Based on the power loss rate, collecting historical power loss corresponding to the electric pedal; Analyzing the loss fluctuation characteristics corresponding to the historical power loss; Based on the loss fluctuation characteristics, determining a loss adjustment direction corresponding to the electric pedal; Based on the loss adjustment direction, analyzing the performance change range corresponding to the electric pedal; extracting a performance dynamic index within the performance variation range; Based on the performance power index, a power supply strategy corresponding to the electric pedal is generated.

6. The ice-breaking test method for an electric pedal according to claim 1, characterized in that: The calculating of the icebreaking efficiency index corresponding to the record in the icebreaking record set includes: The icebreaking efficiency index corresponding to the record in the icebreaking record set is calculated using the following formula: in, Indicates the icebreaking efficiency index corresponding to the records in the icebreaking record set. Indicates the number of successful icebreaking in the icebreaking record set, Indicates the number of successful icebreaking times. Indicates The volume of ice broken by each icebreaking Indicates The time taken for the ice-breaking process Indicates During the ice-breaking process, the electric pedal The ice breaking power function, The number of categories representing ice conditions, The category index representing the ice conditions, Indicates The average thickness of ice in ice-like conditions, Indicates Total area of ​​ice-breaking under ice-like conditions, Indicated in Total cumulative time of icebreaking under ice-like conditions, Indicated in The electric pedal is at the time of breaking ice in ice-like conditions. The cumulative power function of It represents the movement weighting coefficient of the electric pedal during the entire ice-breaking test.

7. The ice-breaking test method for an electric pedal as claimed in claim 1, characterized in that: The step of constructing an ice-breaking efficiency evaluation framework corresponding to the electric pedal based on the ice-breaking efficiency index includes: Analyze the influencing factors corresponding to the icebreaking efficiency index; Based on the influencing factors, determining an evaluation dimension corresponding to the electric pedal; analyzing dimensional correlations between the evaluation dimensions; Based on the dimension relevance, extract the core evaluation elements in the evaluation dimension; Based on the core evaluation factors, an ice-breaking efficiency evaluation framework corresponding to the electric pedal is constructed.

8. The ice-breaking test method for an electric pedal as claimed in claim 1, characterized in that: The analyzing the force change of the electric pedal during the test based on the ice-breaking effect includes: Analyzing ice layer cracking characteristics corresponding to the ice breaking effect; Based on the ice layer cracking characteristics, determining the action mode of the electric pedal in the ice breaking process; analyzing the interaction relationships between the modes of action; Based on the interaction relationship, extract the key action links in the action mode; Based on the key action links, the force changes of the electric pedal during the test are analyzed.

9. The ice-breaking test method for an electric pedal as claimed in claim 1, characterized in that: The collecting of real-time ice-breaking data of the test pedal during the test process includes: Marking ice-breaking operation information corresponding to the test pedal; Analyzing the operation mode corresponding to the icebreaking operation information; Extracting the core operating elements in the operating mode; Based on the core operating elements, construct a data acquisition sequence corresponding to the test pedal; Converting the data acquisition sequence into its corresponding real-time data view; Real-time icebreaking data is collected in the real-time data view.

10. An ice-breaking test system for an electric pedal, characterized in that: Used to perform an ice-breaking test method for an electric pedal as described in any one of claims 1 to 9, the system comprising: An environment construction module, used to obtain test environment information of the electric pedal, analyze the test application scenario corresponding to the electric pedal based on the test environment information, configure the test operation parameters corresponding to the electric pedal according to the test application scenario, and construct an ice-breaking test simulation environment corresponding to the electric pedal based on the test operation parameters; a loss calculation module, used for analyzing the operation status data corresponding to the electric pedal in the ice-breaking test simulation environment, querying the power output parameters in the operation status data, and calculating the power loss rate of the electric pedal during the ice-breaking process based on the power output parameters; A framework construction module, used to adjust the power supply strategy of the electric pedal based on the power loss rate, perform multiple ice-breaking tests on the electric pedal based on the power supply strategy to obtain an ice-breaking record set, calculate the ice-breaking efficiency index corresponding to the record in the ice-breaking record set, and construct an ice-breaking efficiency evaluation framework corresponding to the electric pedal based on the ice-breaking efficiency index; An influencing factor module is used to use the ice-breaking efficiency evaluation framework to predict the ice-breaking effect of the electric pedal under different ice hardness conditions, analyze the force change of the electric pedal during the test based on the ice-breaking effect, and determine the key influencing factors in the force change; The report generation module is used to connect the preset road surface detection module with the electric pedal based on the key influencing factors to obtain a test pedal, collect real-time ice-breaking data of the test pedal during the test, detect the ice-breaking optimization points in the real-time ice-breaking data, and generate an ice-breaking optimization report corresponding to the electric pedal based on the ice-breaking optimization points.

Images