Automobile generator performance detection method and device

Abstract

The invention relates to the technical field of new energy automobile generator performance detection, and discloses an automobile generator performance detection method and device. The method comprises the steps of collecting working condition data such as voltage, current, rotating speed and internal temperature of a generator in real time through a multi-source sensor, establishing a correlation model among the voltage, the current, the rotating speed and the internal temperature based on a regression analysis method, and dynamically adjusting safety thresholds of the voltage and the current according to the model. Compared with the prior art that monitoring depends on a fixed threshold value, especially under complex working conditions such as high load, rapid acceleration and high temperature conditions, the technical problem that working condition changes cannot be adapted in real time is solved, real-time monitoring is achieved by dynamically adjusting the voltage and current threshold values and combining the rotating speed and the internal temperature change rate, and the real-time monitoring efficiency is improved. The stable operation of the generator under the multi-dimensional working condition is ensured, so that the problem of equipment damage caused by overload is avoided, the safety of the system is improved, and the service life of the system is prolonged.

Description

Technical Field

[0001] The present invention belongs to the technical field of new energy automobile generator performance detection, and in particular relates to an automobile generator performance detection method and device. Background Art

[0002] At present, there are certain deficiencies in the performance detection technology of generators for new energy vehicles. For example, most of the existing technologies rely on fixed voltage and current thresholds for monitoring, and cannot be dynamically adjusted according to changes in actual working conditions (such as changes in speed and internal temperature). Such monitoring methods cannot fully adapt to rapidly changing working conditions when facing complex working conditions (such as high load, rapid acceleration, high temperature environment, etc.), resulting in the generator failing to adjust in time under overload or high temperature conditions, thereby causing equipment failure or reduced performance. The existing technology cannot fully meet the higher requirements for generator stability and reliability of new energy vehicles under complex working conditions. Therefore, there is an urgent need for a method that can dynamically monitor and adjust the working state of the generator under multi-dimensional working condition data, and can still achieve real-time adjustment of voltage and current under complex working conditions to ensure the safe operation of the generator, so as to improve the reliability and service life of the generator. Summary of the invention

[0003] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to propose a method for detecting automobile generator performance, aiming to solve the technical problem that the technology relies on fixed thresholds for monitoring, especially under complex working conditions such as high load, rapid acceleration and high temperature, and cannot adapt to changes in working conditions in real time.

[0004] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a method for detecting the performance of an automobile generator.

[0005] The method comprises:

[0006] Step S10: multi-source sensors installed on the generator of the new energy vehicle are used to collect multi-dimensional operating data in real time, including voltage, current, speed N, and internal temperature T. The data of each dimension is collected in real time at a fixed frequency and stored in a matrix form to form a complete operating data set;

[0007] Step S20: Divide the voltage and current into the first operating condition data, and divide the speed and internal temperature into the second operating condition data, determine the influence factor of the second operating condition data on the first operating condition data according to the regression analysis method, and then establish a correlation model between the first operating condition data and the second operating condition data to obtain a dynamically adjustable voltage safety threshold V safe and current safety threshold I safe , and according to the voltage safety threshold V safe and current safety threshold I safe Get the safe power threshold P safe;

[0008] Step S30: Dynamically adjust the voltage safety threshold V according to the second operating condition data collected in real time base and current safety threshold I base , by analyzing the rate of change of speed and internal temperature, the following formula is used to adjust the safety thresholds of voltage and current:

[0009]

[0010] Among them, V new and I new are the new voltage and current thresholds respectively, k1 and k2 are the adjustment coefficients, is the speed change rate, is the internal temperature change rate;

[0011] Step S40: Calculate the real-time output power of the generator according to the voltage and current values ​​collected in real time, and compare the power with the adjusted safety power threshold. If the output power exceeds the adjusted safety power threshold, it is determined that the generator is in an overload or high load state.

[0012] Step S50: When the generator load exceeds a preset threshold, the generator output current and voltage are reduced, and the working state of the generator is adjusted to a protection mode, and a warning message is pushed to the console to prompt that maintenance is required.

[0013] Preferably, the step S20 of establishing a correlation model between the first operating condition data and the second operating condition data according to a regression analysis method specifically includes:

[0014] Pearson correlation coefficient analysis is used to analyze the correlation between the first working condition data and the second working condition data to obtain the influence factors of the speed and internal temperature on the voltage and current fluctuations;

[0015] Based on the results of correlation analysis, the functional relationship model V of voltage, speed and internal temperature is established by using regression analysis method. safe =f(N,T) and the functional relationship model of current, speed and internal temperature I safe =g(N,T);

[0016] Based on the established correlation model, the voltage and current safety thresholds including the speed and internal temperature influencing factors are calculated, so as to further obtain the safety power threshold P of the generator. safe ;

[0017] Preferably, the V safe =f(N, T) and I safe =g(N, T) specifically includes:

[0018] V safe=f(N,T)=a1N+a2T+a3N 2 +a4T 2 +a5NT+a6

[0019] I safe =g(N,T)=b1N+b2T+b3N 2 +b4T 2 +b5NT+b6

[0020] Among them, a1, a2, a3, a4, a5, and a6 are fitting parameters, which represent the influence of the rotation speed and the internal temperature on the voltage; b1, b2, b3, b4, b5, and b6 are fitting parameters, which represent the influence of the rotation speed and the internal temperature on the current; N is the rotation speed, and T is the internal temperature.

[0021] Preferably, the Pearson correlation coefficient analysis formula specifically includes:

[0022]

[0023] Wherein, X and Y represent the first operating condition data and the second operating condition data respectively, and r is the correlation coefficient.

[0024] Preferably, in step S10, the multi-source sensor includes a voltage sensor, a current sensor, an internal temperature sensor and a rotation speed sensor.

[0025] Preferably, in step S10, the frequency of data collection is adjusted according to the vehicle speed, and when the vehicle speed increases, the frequency of data collection increases accordingly.

[0026] Preferably, in step S30, the dynamic adjustment of the safety thresholds of voltage and current is also affected by the current driving mode. When the driving mode is in the economy mode, the safety thresholds of voltage and current will be lowered; and when the driving mode is in the sports mode, the safety thresholds of voltage and current will be increased to provide higher power output.

[0027] The present invention also provides a device, comprising:

[0028] The data acquisition module collects multi-dimensional operating data in real time through multi-source sensors installed on the generator of new energy vehicles, including voltage, current, speed, and internal temperature. The data of each dimension is collected in real time at a fixed frequency and stored in a matrix form to form a complete operating data set;

[0029] The correlation model building module divides the voltage and current into the first working condition data, and the speed and internal temperature into the second working condition data. The impact factor of the second working condition data on the first working condition data is determined according to the regression analysis method, and then the correlation model of the first working condition data and the second working condition data is established to obtain the voltage safety threshold V that can be dynamically adjusted.safe and current safety threshold I safe , and according to the voltage safety threshold V safe and current safety threshold I safe Get the safe power threshold P safe ;

[0030] Dynamic adjustment module, used to dynamically adjust the voltage safety threshold V according to the second working condition data collected in real time base and current safety threshold I base , by analyzing the rate of change of speed and internal temperature, the following formula is used to adjust the safety thresholds of voltage and current:

[0031]

[0032] Among them, V new and I new are the new voltage and current thresholds respectively, k1 and k2 are the adjustment coefficients, is the speed change rate, is the internal temperature change rate;

[0033] The power calculation module is used to calculate the real-time output power of the generator based on the voltage and current values ​​collected in real time, and compare the power with the adjusted safety power threshold P new Compare and if the output power exceeds the adjusted safe power range, it is judged that the generator is in an overload or high load state;

[0034] The protection module is used to reduce the generator output current and voltage when the generator is in an overload or high load state, and adjust the generator's working state to a protection mode, while pushing a warning message to the console to prompt that maintenance is required.

[0035] Preferably, the automobile generator performance detection method and equipment comprises:

[0036] A memory, a processor, and a vehicle generator performance detection method program stored in the memory and executable on the processor, wherein the vehicle generator performance detection method is implemented when the vehicle generator performance detection method program is executed by the processor.

[0037] The present invention also provides a computer program product, including an automobile generator performance detection method program, and when the automobile generator performance detection method program is executed by a processor, the automobile generator performance detection method is implemented.

[0038] The beneficial effect of the present invention is that compared with the prior art which relies on fixed thresholds for monitoring, especially under complex working conditions such as high load, rapid acceleration and high temperature, and cannot adapt to changes in working conditions in real time, the present application dynamically adjusts the voltage and current thresholds and combines the speed and internal temperature change rate to achieve real-time monitoring, thereby ensuring the stable operation of the generator under multi-dimensional working conditions, thereby avoiding equipment damage caused by overload and improving the safety and service life of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 The figure is a flow chart of a first embodiment of a method for detecting performance of an automobile generator according to the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Embodiment 1: Figure 1 FIG. 1 is a flow chart of a first embodiment of a method for detecting performance of an automobile generator according to the present invention, and provides a first embodiment of a method for detecting performance of an automobile generator according to the present invention.

[0043] In a first embodiment, the method comprises:

[0044] Step S10: multi-source sensors installed on the generator of the new energy vehicle are used to collect multi-dimensional operating data in real time, including voltage, current, speed N, and internal temperature T. The data of each dimension is collected in real time at a fixed frequency and stored in a matrix form to form a complete operating data set;

[0045] It should be noted that the multi-source sensor may include a voltage sensor for measuring voltage, a current sensor for measuring current, a speed sensor for measuring generator speed, and an internal temperature sensor for measuring internal temperature. These sensors may be installed at key locations of the generator to ensure accurate collection of operating condition data.

[0046] It is understandable that the operating condition data set is organized in the form of a matrix so that the voltage, current, speed, internal temperature and other data at each time point can be stored synchronously. i , the collected data can be stored as:

[0047] M(t i )=[V(t i ), I(t i ), N(t i ), T(t i )]

[0048] Among them, V(t i ) is voltage, I(t i ) is the current, N(t i ) is the speed, T(t i ) is the internal temperature.

[0049] It should be understood that this matrix-based data storage method facilitates the subsequent correlation analysis and dynamic adjustment process, ensuring the synchronization and integrity of data in different dimensions. By real-time collection and storage of data in different dimensions, the system can fully grasp the operating status of the generator and provide data support for subsequent dynamic adjustments.

[0050] Step S20: Divide the voltage and current into the first operating condition data, and divide the speed and internal temperature into the second operating condition data, determine the influence factor of the second operating condition data on the first operating condition data according to the regression analysis method, and then establish a correlation model between the first operating condition data and the second operating condition data to obtain a dynamically adjustable voltage safety threshold V safe and current safety threshold I safe , and according to the voltage safety threshold V safe and current safety threshold I safe Get the safe power threshold P safe ;

[0051] It should be noted that the first operating condition data (voltage and current) are key electrical parameters that reflect the working state of the generator, while the second operating condition data (speed and internal temperature) are important external operating condition parameters that affect voltage and current fluctuations. Through regression analysis, it is possible to identify how speed and internal temperature affect voltage and current fluctuations, and dynamically adjust the safety thresholds of voltage and current based on these influencing factors.

[0052] It should be understood that regression analysis is a mathematical method based on historical data, which can quantify the impact of speed and internal temperature on voltage and current by fitting a model. Specifically, the regression analysis model may include a combination of linear and quadratic terms, as shown below:

[0053] V safe=f(N,T)=a1N+a2T+a3N 2 +a4T 2 +a5NT+a6

[0054] I safe =g(N,T)=b1N+b2T+b3N 2 +b4T 2 +b5NT+b6

[0055] Among them, a1, a2, a3, a4, a5, and a6 are fitting parameters, which represent the influence of the rotation speed and the internal temperature on the voltage; b1, b2, b3, b4, b5, and b6 are fitting parameters, which represent the influence of the rotation speed and the internal temperature on the current; N is the rotation speed, and T is the internal temperature.

[0056] It should be understood that through the above regression model, the voltage and current safety thresholds that change with the speed and internal temperature can be obtained. These thresholds are dynamic and can be adjusted in real time to adapt to different operating conditions. At the same time, the voltage and current safety thresholds will be further used to calculate the safety power threshold, P safe =V safe ×I safe By dynamically adjusting the safety thresholds of voltage and current, the system can maintain the stability of the generator under complex working conditions and prevent damage or failure caused by overload operation. This model provides a basis for real-time adjustment of the working state of the generator and lays a technical support for subsequent power monitoring and protection mechanisms.

[0057] Step S30: Dynamically adjust the voltage safety threshold V according to the second operating condition data collected in real time base and current safety threshold I base , by analyzing the rate of change of speed and internal temperature, the following formula is used to adjust the safety thresholds of voltage and current:

[0058]

[0059] Among them, V new and I new are the new voltage and current thresholds respectively, k1 and k2 are the adjustment coefficients, is the speed change rate, is the internal temperature change rate;

[0060] It should be noted that the speed and internal temperature change rate can effectively reflect the dynamic fluctuations of the generator working condition. Rapid changes in speed and internal temperature may indicate a sudden increase in load or a rapid rise in the internal temperature of the environment. These factors will directly affect the output capacity and safe operation of the generator. Therefore, the system needs to adjust the voltage and current safety thresholds in time through formulas to avoid overload problems caused by sudden loads or environmental changes.

[0061] It should be understood that the selection of adjustment coefficients k1 and k2 depends on the design parameters and operating conditions of the generator, and they are used to balance the influence of speed and internal temperature on voltage and current. For example, when the internal temperature rises faster, the system can reduce the current safety threshold in advance through a larger k2, reducing the load to prevent the internal temperature from continuing to rise.

[0062] For example, assuming that in a generator of a new energy vehicle, the initial voltage safety threshold and current safety threshold are calculated by the regression model to obtain the following values: V safe =400V, I safe =50A; the current working condition data is speed N = 3000rpm, internal temperature T = 50℃;

[0063] Scenario 1: Acceleration. During the vehicle acceleration process, the speed increases from 3000rpm to 4500rpm, and this change is completed within 1 second. The speed change rate is:

[0064]

[0065] At the same time, assuming that the internal temperature remains constant, that is:

[0066]

[0067] If the adjustment coefficient is set to k1 = 0.01, the new voltage threshold can be calculated by the following formula:

[0068]

[0069] Since the internal temperature does not change, the current threshold remains constant.

[0070] Scenario 2: High temperature environment. When the vehicle enters a high temperature environment, the internal temperature rises from 50°C to 70°C, and this change is completed within 2 seconds. The internal temperature change rate is:

[0071]

[0072] At the same time, assuming that the speed remains unchanged at 3000rpm, that is:

[0073]

[0074] If the adjustment coefficient k2 is set to 0.5, the new current threshold can be calculated by the following formula:

[0075]

[0076] Since the speed does not change, the voltage threshold remains unchanged.

[0077] Through the above two specific scenarios, it can be seen that the system dynamically adjusts the safety thresholds of voltage and current according to the rate of change of rotational speed and internal temperature, respectively, to ensure performance while the generator can still operate safely under acceleration and high temperature conditions to avoid damage caused by overload or overheating.

[0078] Step S40: Calculate the real-time output power of the generator according to the voltage and current values ​​collected in real time, and compare the power with the adjusted safety power threshold. If the output power exceeds the adjusted safety power threshold, it is determined that the generator is in an overload or high load state.

[0079] It should be understood that the safe power threshold is a range dynamically adjusted based on the working conditions of the generator to ensure the safe operation of the generator under various loads and environments. If the real-time output power exceeds the safe power threshold, it means that the generator is in an overload or high-load state, which may cause the generator efficiency to decrease, the heat to increase, the wear of parts to increase, and even cause equipment failure. Overload or high-load state is an important risk point in the operation of the generator. Once the output power exceeds the safe power threshold, the system should immediately take protective measures to avoid damage to the generator caused by long-term high-load operation. This protection mechanism includes automatically reducing the output power or current, adjusting the cooling system, and issuing maintenance prompts to the user, thereby effectively extending the service life of the generator and improving its working efficiency.

[0080] Step S50: When the generator load exceeds a preset threshold, the generator output current and voltage are reduced, and the working state of the generator is adjusted to a protection mode, and a warning message is pushed to the console to prompt that maintenance is required.

[0081] It should be noted that protection mode means that when the generator detects a high load or overload condition, the system will take active measures to reduce the generator's output power. By reducing the output current and voltage, the system ensures that the generator can operate safely and prevents damage caused by overload or overheating. In protection mode, the generator's output power will be limited to a preset lower range, sufficient to maintain basic functions but avoid further damage to the equipment.

[0082] It is understood that the protection mode is triggered based on the comparison between the real-time detected power value and the adjusted safe power threshold. When it is detected that the actual power exceeds the safe threshold, the system will immediately adjust the working state of the generator. At this time, the system will first reduce the current and voltage to reduce the load and reduce the accumulation of internal heat. In addition, the system will push a warning message to the console to remind the driver or technician to take further action.

[0083] It should be understood that the protection mode not only reduces the output power but also sends a warning message so that the user can perform preventive maintenance or inspection in time. This warning message usually includes specific power data, the severity of the overload, the current state of the generator, and the recommended maintenance operations. For example, the warning message may include: "The generator is currently under high load and the output power has exceeded the safe range. Please check and perform necessary maintenance."

[0084] Based on the first embodiment, a second embodiment of the present invention is proposed:

[0085] In the second embodiment, the step S20 of establishing a correlation model between the first operating condition data and the second operating condition data according to the regression analysis method specifically includes:

[0086] Pearson correlation coefficient analysis is used to analyze the correlation between the first working condition data and the second working condition data to obtain the influence factors of the speed and internal temperature on the voltage and current fluctuations;

[0087] Based on the results of correlation analysis, the functional relationship model V of voltage, speed and internal temperature is established by using regression analysis method. safe =f(N,T) and the functional relationship model of current, speed and internal temperature I safe =g(N,T);

[0088] Based on the established correlation model, the voltage and current safety thresholds including the speed and internal temperature influencing factors are calculated, so as to further obtain the safety power threshold P of the generator. safe ;

[0089] It should be understood that the specific process of performing correlation analysis on the first operating condition data (voltage and current) and the second operating condition data (speed and internal temperature) using the Pearson correlation coefficient analysis to obtain the influence factors of the speed and internal temperature on the voltage and current fluctuations may include the following steps, for example:

[0090] (1) Collecting historical operating data: First, the system collects a large amount of historical operating data through sensors, recording the voltage V and current I of the generator at different speeds N and internal temperatures T. For example, the data may include the sampling results per second:

[0091] Speed ​​(rpm) Internal temperature (℃) Voltage (V) Current (A) 2500 40 380 30 3000 45 400 35 3500 50 420 40 4000 55 440 45

[0092] (2) Standardization: Since the speed, internal temperature, voltage and current have different dimensions, the system standardizes the data so that they have the same dimension for easy calculation.

[0093] (3) Calculate the Pearson correlation coefficient for each set of data (speed, voltage, internal temperature, current) to quantitatively analyze the linear correlation between data under different working conditions. The specific formula is as follows:

[0094]

[0095] Wherein, X and Y represent the first operating condition data and the second operating condition data respectively, and r is the correlation coefficient.

[0096] (4) Substituting into the formula, we can get the correlation coefficient between speed and voltage is 0.98, and the correlation coefficient between internal temperature and current is 0.97. This shows that the speed and internal temperature have a significant impact on voltage and current. Based on these analysis results, we can determine the strong correlation between these variables and provide a basis for subsequent regression analysis.

[0097] It should be understood that the parameters in the regression analysis model are obtained by fitting based on a large amount of historical data and actual operating data. These parameters determine the safety threshold of the generator under different speed and internal temperature conditions. Therefore, as the speed and internal temperature change, the system can dynamically adjust the safety thresholds of voltage and current to ensure that the generator can still operate safely under complex working conditions. For example, through Pearson correlation analysis, if the correlation coefficient between speed and voltage is found to be r = 0.85, it indicates that the speed has a strong positive effect on the voltage; and the correlation coefficient between internal temperature and current is r = -0.65, which means that the increase in internal temperature will significantly reduce the current. Based on these correlations, regression analysis can further fit a specific mathematical model for dynamically adjusting the voltage and current thresholds to ensure the safe operation of the generator.

[0098] In addition, the present invention also provides an automobile generator performance detection method device, which adopts an automobile generator performance detection method in the above embodiment to solve the technical problem of an automobile generator performance detection method. Compared with the prior art, the beneficial effects of the automobile generator performance detection method device provided by the present invention are the same as the beneficial effects of the automobile generator performance detection method provided by the above embodiment, and other technical features in the automobile generator performance detection method device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0099] The present invention provides a method and device for detecting the performance of an automobile generator, and the method and device for detecting the performance of an automobile generator include: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the method for detecting the performance of an automobile generator in the first embodiment. The method and device for detecting the performance of an automobile generator in the embodiment of the present invention may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. The method and device for detecting the performance of an automobile generator is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention. A method and apparatus for detecting the performance of an automobile generator may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM) 1004. In RAM 1004, various programs and data required for the operation of a method and apparatus for detecting the performance of an automobile generator are also stored. The processing device 1001, ROM 1002, and RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow a vehicle generator performance detection method device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a vehicle generator performance detection method device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0100] The present invention also provides a computer program product, including a computer program, wherein when the computer program is executed by a processor, the steps of the above-mentioned method for detecting the performance of an automobile generator are implemented. The computer program product provided by the present invention can solve the technical problem of the method for detecting the performance of an automobile generator. Compared with the prior art, the beneficial effects of the computer program product provided by the present invention are the same as the beneficial effects of the method for detecting the performance of an automobile generator provided by the above-mentioned embodiment, and will not be described in detail here.

[0101] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through a communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present invention are executed.

[0102] It should be understood that the various parts disclosed in the present invention can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0103] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for detecting the performance of an automobile generator, characterized in that: The method comprises: Step S10: multi-source sensors installed on the generator of the new energy vehicle are used to collect multi-dimensional operating data in real time, including voltage, current, speed N, and internal temperature T. The data of each dimension is collected in real time at a fixed frequency and stored in a matrix form to form a complete operating data set; Step S20: Divide the voltage and current into the first operating condition data, and divide the speed and internal temperature into the second operating condition data, determine the influence factor of the second operating condition data on the first operating condition data according to the regression analysis method, and then establish a correlation model between the first operating condition data and the second operating condition data to obtain a dynamically adjustable voltage safety threshold V safe and current safety threshold I safe , and according to the voltage safety threshold V saFe and current safety threshold I safe Get the safe power threshold P safe ; Step S30: Dynamically adjust the voltage safety threshold V according to the second operating condition data collected in real time base and current safety threshold I base , by analyzing the rate of change of speed and internal temperature, the following formula is used to adjust the safety thresholds of voltage and current: Among them, V new and I new are the new voltage and current thresholds, respectively; k1 and k2 are adjustment coefficients; ΔN is the change in speed; ΔT is the change in temperature; Δt represents the time interval. is the speed change rate, is the internal temperature change rate; Step S40: Calculate the real-time output power of the generator according to the voltage and current values ​​collected in real time, and compare the power with the adjusted safety power threshold P new Comparison is performed, and if the output power exceeds the adjusted safety power threshold, it is determined that the generator is in an overload or high load state; Step S50: When the generator load exceeds a preset threshold, the generator output current and voltage are reduced, and the working state of the generator is adjusted to a protection mode, and a warning message is pushed to the console to prompt that maintenance is required.

2. The automobile generator performance detection method according to claim 1, characterized in that: The step S20 of establishing a correlation model between the first operating condition data and the second operating condition data according to the regression analysis method specifically includes: Pearson correlation coefficient analysis is used to analyze the correlation between the first working condition data and the second working condition data to obtain the influence factors of the speed and internal temperature on the voltage and current fluctuations; Based on the results of correlation analysis, the functional relationship model V of voltage, speed and internal temperature is established by using regression analysis method. safe =f(N, T) and the functional relationship model of current, speed and internal temperature I safe =g(N,T); Based on the established correlation model, the voltage and current safety thresholds including the speed and internal temperature influencing factors are calculated, so as to further obtain the generator safety power threshold P safe .

3. The automobile generator performance detection method according to claim 2, characterized in that: The V safe =f(N, T) and I safe =g(N, T) specifically includes: V safe =f(N,T)=a1N+a2T+a3N 2 +α4T 2 +a5NT+a6 I safe =g(N,T)=b1N+b2T+b3N 2 +b4T 2 +b5NT+b6 Among them, a1, a2, a3, a4, a5, and a6 are fitting parameters, which represent the influence of the rotation speed and the internal temperature on the voltage, and b1, b2, b3, b4, b5, and b6 are fitting parameters, which represent the influence of the rotation speed and the internal temperature on the current.

4. The automobile generator performance detection method according to claim 2, characterized in that: The Pearson correlation coefficient analysis formula specifically includes: Among them, X and Y represent the first working condition data and the second working condition data respectively, and are the means of variables X and Y, respectively, and r is the correlation coefficient.

5. The automobile generator performance detection method according to claim 1, characterized in that: In the step S10, the multi-source sensor includes a voltage sensor, a current sensor, an internal temperature sensor and a rotation speed sensor.

6. The automobile generator performance detection method according to claim 1, characterized in that: In the step S10, the frequency of data collection is adjusted according to the vehicle speed. When the vehicle speed increases, the frequency of data collection increases accordingly.

7. The automobile generator performance detection method according to claim 1, characterized in that: In step S30, the dynamic adjustment of the safety thresholds of voltage and current is also affected by the current driving mode. When the driving mode is in the economic mode, the safety thresholds of voltage and current are lowered; and when the driving mode is in the sports mode, the safety thresholds of voltage and current are increased to provide higher power output.

8. A method and device for detecting the performance of an automobile generator, characterized in that: The device comprises: The data acquisition module collects multi-dimensional operating data in real time through multi-source sensors installed on the generator of new energy vehicles, including voltage, current, speed, and internal temperature. The data of each dimension is collected in real time at a fixed frequency and stored in a matrix form to form a complete operating data set; The correlation model building module divides the voltage and current into the first working condition data, and the speed and internal temperature into the second working condition data. The impact factor of the second working condition data on the first working condition data is determined according to the regression analysis method, and then the correlation model of the first working condition data and the second working condition data is established to obtain the voltage safety threshold V that can be dynamically adjusted. safe and current safety threshold I safe , and according to the voltage safety threshold V safe and current safety threshold I safe Get the safe power threshold P safe ; Dynamic adjustment module, used to dynamically adjust the voltage safety threshold V according to the second working condition data collected in real time base and current safety threshold I base , by analyzing the rate of change of speed and internal temperature, the following formula is used to adjust the safety thresholds of voltage and current: Among them, V new and I new are the new voltage and current thresholds respectively, k1 and k2 are the adjustment coefficients, is the speed change rate, is the internal temperature change rate; The power calculation module is used to calculate the real-time output power of the generator based on the voltage and current values ​​collected in real time, and compare the power with the adjusted safety power threshold P new Compare and if the output power exceeds the adjusted safe power range, it is judged that the generator is in an overload or high load state; The protection module is used to reduce the generator output current and voltage when the generator is in an overload or high load state, and adjust the generator's working state to a protection mode, while pushing a warning message to the console to prompt that maintenance is required.

9. A method and device for detecting performance of an automobile generator, characterized in that: The device comprises: A memory, a processor, and a vehicle generator performance detection method program stored in the memory and executable on the processor, wherein the vehicle generator performance detection method is implemented when the vehicle generator performance detection method program is executed by the processor.

10. A computer program product, characterized in that The computer program product includes an automobile generator performance detection method program, and when the automobile generator performance detection method program is executed by a processor, the automobile generator performance detection method is implemented.

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