Intelligent automobile fuse type selection method and related device

Abstract

The invention relates to an intelligent automobile fuse type selection method and a related device. The method comprises the following steps: acquiring a working current curve of a to-be-processed object in a working state; according to a target application scene of the intelligent automobile, performing adaptive conversion on the working current curve to obtain an equivalent working current curve of the to-be-processed object in the target application scene; the equivalent working current curve, the fuse fusing curve of the candidate fuse and the wire harness fuming curve are compared, a target fuse matched with the to-be-processed object is obtained, and the current duration corresponding to each equivalent current segment in the equivalent working current curve is smaller than the fuse fusing duration under the same current in the target fuse. The fuse fusing duration under each current in the target fuse is smaller than the wire harness fuming duration under the same current in the wire harness fuming curve. According to the method, the safety and reliability of the circuit are improved, the type selection process of the fuse is optimized, and the method is helpful for adapting to complex and changeable application requirements of intelligent automobiles.

Description

Technical Field

[0001] The present application relates to the field of data processing, and in particular to an intelligent automobile fuse selection method and related devices. Background Art

[0002] The fuse is an electrical component that protects the wiring harness. If there is no fuse in the circuit, once the circuit is overloaded and a short circuit occurs, the current flowing through the wire exceeds the carrying current of the wire, and the wire will spontaneously combust, causing a safety accident. In circuit design, the fuse is connected in series on the power supply side of the circuit. When the load is overcurrent or the wire is short-circuited, the heat generated by the current reaches the melting point in the part with a smaller cross-sectional area of ​​the fuse and melts, thereby protecting the wire of the circuit. If the fuse blows later than the wire smokes, the entire vehicle will catch fire. If the fuse is too small, it may quickly blow when the load is working normally, causing the car to lose its function prematurely. Therefore, it is particularly important that the specifications of the fuse and the wire diameter of the wire harness are rationally adapted to the controlled load parameters.

[0003] The selection of fuse and wiring harness specifications is affected by the type of electrical load. Automotive electrical load types can be divided into continuous loads and intermittent loads. Continuous loads refer to loads that run continuously and stably after a function is turned on and before it is turned off, such as seat heating. Intermittent loads refer to loads that only have current flowing for a short time during operation when the function is turned on and the hand is released or it is automatically turned off after a period of time. Such as door lock motors, window motors, power steering motors, etc. In related technologies, in order to ensure that the fuse will not blow due to overload under any circumstances, a large safety factor is usually introduced when calculating the fuse capacity, resulting in a generally large fuse capacity. Although factors such as ambient temperature and maximum circuit operating current are taken into account, this method affects the selection of wire diameter, resulting in an increase in the weight of the entire vehicle, a reduction in the utilization rate of the vehicle space, and an increase in unnecessary waste of resources.

[0004] Therefore, it is urgent to design a technical solution to solve at least one of the above technical problems. Summary of the invention

[0005] In view of the technical problems existing in the prior art, the present application provides a smart car fuse selection method and related devices to improve the safety and reliability of the circuit, optimize the fuse selection process, and adapt to the complex and changeable application requirements of smart cars.

[0006] In a first aspect, an embodiment of the present application provides a method for selecting a fuse for a smart car, the method being used to configure a corresponding fuse for an object to be processed in a smart car, the object to be processed comprising an electrical device and / or a circuit element in the smart car; the method comprising: Obtaining a working current curve of the object to be processed in a working state; According to the target application scenario of the smart car, the working current curve is adaptively converted to obtain an equivalent working current curve of the object to be processed in the target application scenario; the equivalent working circuit curve includes a plurality of equivalent current segments, each of which is obtained by fitting the working current change trend in the corresponding working period; The target fuse matching the object to be processed is obtained by comparing the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse; wherein the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is shorter than the fuse blowing duration at the same current magnitude in the target fuse, and the fuse blowing duration at each current magnitude in the target fuse is shorter than the wiring harness smoking duration at the same current magnitude in the wiring harness smoking curve.

[0007] In a second aspect, the present application provides an intelligent automobile fuse selection device, wherein An acquisition unit, configured to acquire a working current curve of the object to be processed in a working state; A conversion unit is configured to adaptively convert the working current curve according to a target application scenario of the smart car to obtain an equivalent working current curve of the object to be processed in the target application scenario; the equivalent working circuit curve includes a plurality of equivalent current segments, each of which is obtained by fitting the working current change trend in the corresponding working period; The comparison unit is configured to compare the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse to obtain a target fuse matching the object to be processed; wherein the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is shorter than the fuse blowing duration at the same current magnitude in the target fuse, and the fuse blowing duration at each current magnitude in the target fuse is shorter than the wiring harness smoking duration at the same current magnitude in the wiring harness smoking curve.

[0008] In a third aspect, an embodiment of the present application provides an electronic device, the electronic device comprising: at least one processor, memory, and input-output unit; The memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the intelligent automobile fuse selection method of the first aspect.

[0009] In a fourth aspect, a computer-readable storage medium is provided, which includes instructions. When the instructions are executed on a computer, the computer executes the intelligent automobile fuse selection method of the first aspect.

[0010] The beneficial effect of the present application is that: a method for selecting a fuse for a smart car and a related device are provided. In this technical solution, a corresponding fuse is configured for an object to be processed in a smart car, and the object to be processed includes electrical equipment and / or circuit elements in the smart car. First, the working current curve of the object to be processed in a working state is obtained. Then, according to the target application scenario of the smart car, the working current curve is adaptively converted to obtain an equivalent working current curve of the object to be processed in the target application scenario. The equivalent working circuit curve includes a plurality of equivalent current segments, and each equivalent current segment is obtained by fitting the working current change trend in the corresponding working period. Finally, the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse are compared to obtain a target fuse matching the object to be processed. Among them, the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is less than the fuse blowing duration at the same current size in the target fuse, and the fuse blowing duration at each current size in the target fuse is less than the wire harness smoking duration at the same current size in the wire harness smoking curve. The technical solution of this application, the intelligent automobile fuse selection method not only improves the safety and reliability of the circuit, but also optimizes the fuse selection process to adapt to the complex and changeable application requirements of intelligent automobiles. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a flow chart of a smart automobile fuse selection method according to an embodiment of the present application; Figure 2 is a schematic diagram of a working current curve of an embodiment of the present application; Figure 3 is a schematic diagram of an equivalent working current curve of an embodiment of the present application; Figure 4 This is a schematic diagram of the effect of a fuse fusing curve in an embodiment of the present application; Figure 5 is a schematic diagram of a wire harness smoke curve of an embodiment of the present application; Figure 6 It is a schematic diagram of the principle of a smart automobile fuse selection method according to an embodiment of the present application; Figure 7 It is a schematic diagram of the interface of an intelligent automobile fuse selection software tool according to an embodiment of the present application; Figure 8 It is a structural schematic diagram of an intelligent automobile fuse selection method device according to an embodiment of the present application; Fig. 9 is a schematic diagram of the structure of an electronic device according to an embodiment of the present application; Fig.10It is a structural schematic diagram of a medium device according to an embodiment of the present application. DETAILED DESCRIPTION

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0013] The fuse is an electrical component that protects the wiring harness. If there is no fuse in the circuit, once the circuit is overloaded and a short circuit occurs, the current flowing through the wire exceeds the carrying current of the wire, and the wire will spontaneously combust, causing a safety accident. In circuit design, the fuse is connected in series on the power supply side of the circuit. When the load is overcurrent or the wire is short-circuited, the heat generated by the current reaches the melting point in the part with a smaller cross-sectional area of ​​the fuse and melts, thereby protecting the wire of the circuit. If the fuse blows later than the wire smokes, the entire vehicle will catch fire. If the fuse is too small, it may quickly blow when the load is working normally, causing the car to lose its function prematurely. Therefore, it is particularly important that the specifications of the fuse and the wire diameter of the wire harness are rationally adapted to the controlled load parameters.

[0014] The selection of fuse and wiring harness specifications is affected by the type of electrical load. The types of automotive electrical loads can be divided into continuous loads and intermittent loads. Continuous loads refer to loads that run continuously and stably after a function is turned on and before it is turned off, such as seat heating. Intermittent loads refer to loads that automatically turn off when the hand is released or after a period of time after the function is turned on, and current flows only for a short time during operation. Such as door lock motors, window motors, power steering motors, etc.

[0015] In the related art, in order to ensure that the fuse will not blow due to overload under any circumstances, a large safety factor is usually introduced when calculating the fuse capacity, resulting in a generally large fuse capacity. For intermittent loads, one way is that the principle of the temperature coefficient adjustment method is to compensate for the influence of ambient temperature on the rated current of the fuse to ensure that the fuse can effectively protect the circuit at different temperatures. The method first calculates a temperature coefficient K based on the ambient temperature T, and the formula is K = 1 - (T - 25°C) * 0.14% / °C. The value of the temperature coefficient K changes with temperature. For every 1°C increase in temperature, the K value decreases by 0.14%, thereby adjusting the rated current of the fuse. Then, the actual current Iwork of the load is divided by the product of 0.50 and the K value to obtain the rated current Ifuse of the fuse. In this way, it is ensured that the rated current of the fuse at different temperatures can adapt to the load requirements, while taking into account the influence of temperature on the performance of the fuse.

[0016] Another way is to directly use the maximum operating current of the circuit and determine the rated capacity of the fuse by dividing it by 80%. The core of this method is to introduce a conservative safety factor of 80% to ensure that the fuse will not be overloaded at the maximum operating current of the circuit. In this way, the rated capacity of the fuse is amplified to 1.25 times the maximum operating current of the circuit, ensuring that the circuit can be effectively protected under any circumstances to avoid equipment damage or safety hazards caused by excessive current.

[0017] Another way is to adjust the fuse capacity by comprehensively considering multiple coefficients to ensure that the fuse can effectively protect the circuit under various conditions. This method first introduces a basic safety factor of 1.1 to ensure that the fuse capacity has a certain margin. Then, the fuse capacity is further adjusted by the peak current coefficient, load assembly area coefficient, and fuse matching area coefficient. The peak current coefficient takes into account the characteristics of the load at peak current, and the load assembly area coefficient and fuse matching area coefficient take into account the specific environmental conditions of the load and fuse respectively. Through the comprehensive adjustment of these coefficients, it is ensured that the selected fuse capacity can not only meet the load requirements, but also effectively prevent overload, while taking into account the influence of various environmental factors.

[0018] Although the above three methods take into account factors such as ambient temperature and maximum circuit operating current, they are all relatively conservative in selecting fuse capacity. The fuses selected in this way are generally too large or inaccurate. In order to adapt to the fuse specifications, the diameter of the protected wire is also thickened accordingly, resulting in an increase in the weight of the entire vehicle, a reduction in the utilization rate of the vehicle space, and an unnecessary waste of resources.

[0019] Therefore, it is urgent to design a technical solution to solve at least one of the above technical problems.

[0020] In order to solve at least one technical problem in the related art, the embodiment of the present application provides an intelligent automobile fuse selection method and related devices.

[0021] In the technical solution provided by the present application, first, the working current curve of the object to be processed in the working state is obtained. Then, according to the target application scenario of the smart car, the working current curve is adaptively converted to obtain the equivalent working current curve of the object to be processed in the target application scenario. The equivalent working circuit curve includes multiple equivalent current segments, and each equivalent current segment is obtained by fitting the working current change trend in the corresponding working period. Finally, the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse are compared to obtain the target fuse matching the object to be processed. Among them, the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is less than the fuse blowing duration of the target fuse at the same current size, and the fuse blowing duration of each current size in the target fuse is less than the wiring harness smoking duration of the wiring harness smoking curve at the same current size.

[0022] The technical solution of this application, first of all, this application can effectively improve the safety of the circuit by accurately matching the working current curve of the object to be processed and the fusing characteristics of the fuse. Ensure that the fuse can be blown in time when the current is abnormal, prevent circuit overload and short circuit, and thus protect the key electrical equipment of the smart car. Secondly, compared with the traditional fuse selection method, this application can more accurately select and optimize the matching degree of the fuse through adaptive conversion and comparison of equivalent working current curves, and reduce unnecessary fuse replacement and maintenance costs. Thirdly, by ensuring that the fuse blowing time is less than the wiring harness smoking time, this application can effectively prevent the wiring harness from overheating and smoking, and reduce the risk of fire. This is particularly important for smart cars, because smart cars are often equipped with a large number of electronic devices and complex circuits, and overheating of the wiring harness may cause serious safety accidents. Finally, the current demand and change characteristics of smart cars in different application scenarios are different. This application can flexibly adapt to various application scenarios by adaptively converting the working current curve, and improve the adaptability and accuracy of fuse selection. In summary, the smart car fuse selection method not only improves the safety and reliability of the circuit, but also optimizes the fuse selection process to adapt to the complex and changing application requirements of smart cars.

[0023] The intelligent automobile fuse selection method provided in the embodiment of the present application can also be executed by an electronic device, which can be a server, a server cluster, or a cloud server. The electronic device can also be a terminal device such as a mobile phone, a computer, a tablet computer, a wearable device, or a dedicated device (such as a dedicated terminal device with an intelligent automobile fuse selection method system). These electronic devices can also be equipped with the chips introduced in the above embodiments. Alternatively, these electronic devices can also be installed with a service program for executing the intelligent automobile fuse selection method.

[0024] Figure 1 A flow chart of a smart automobile fuse selection method provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method comprises the following steps: 101, obtaining a working current curve of the object to be processed in a working state; 102, adaptively converting the working current curve according to the target application scenario of the smart car to obtain an equivalent working current curve of the object to be processed in the target application scenario; 103 , comparing the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse to obtain a target fuse that matches the object to be processed.

[0025] In the embodiment of the present application, the object to be processed in the smart car fuse selection method can be various electrical devices and / or circuit elements in the smart car. For example, in the automatic driving system of the smart car, the working current of the computing unit will change with the complex changes of the opening function and the road conditions. Under different driving modes (such as urban driving and high-speed driving), the working current of the automatic driving system will be different. The working current of some loads is different due to different ambient temperatures. For example, in the air-conditioning system of the smart car, the working current of the air-conditioning system will change with the cooling / heating demand and the ambient temperature. In different seasons (summer, winter) and different climatic conditions (high temperature, low temperature), the working current of the air-conditioning system will be significantly different. By accurately identifying and classifying the object to be processed, its working current curve is obtained more accurately, and then the most suitable fuse is selected through adaptive conversion and comparison of equivalent working current curves, thereby improving the safety and reliability of the smart car circuit.

[0026] Specifically, first, the method needs to obtain the working current curve of the object to be processed (electrical equipment or circuit elements) in the smart car under working conditions. This curve reflects the change of current of the equipment during operation and is the basic data for selection. Then, according to the target application scenario of the smart car, the obtained working current curve is adaptively converted. This conversion takes into account the current change characteristics of the equipment in different application scenarios and converts the actual working current curve into an equivalent working current curve. The equivalent working current curve includes multiple equivalent current segments, each of which is obtained by fitting the working current change trend in the corresponding period. Then, the converted equivalent working current curve is compared with the melting curve and wiring harness smoke curve of the candidate fuse. Specifically, the current duration corresponding to each equivalent current segment in the equivalent working current curve needs to be less than the fuse melting duration of the target fuse at the same current size to ensure that the fuse can be blown in time when the current is too large to protect the circuit. The fuse blowing time of the target fuse at each current size needs to be shorter than the wire harness smoking time at the same current size in the wire harness smoking curve to prevent the wire harness from overheating and smoking before the fuse blows, leading to more serious circuit failures. Through this comparison, the target fuse that matches the object to be processed can be screened out.

[0027] In the embodiment of the present application, the equivalent working circuit curve includes multiple equivalent current segments, and each equivalent current segment is obtained by fitting the working current change trend in the corresponding working period.

[0028] Specifically, the equivalent working circuit curve is a comprehensive description tool for the working state of the circuit. By integrating the current changes of the circuit in different working periods, the overall working characteristics of the circuit are displayed. Through this curve, we can more intuitively understand the changing trend of the current of the circuit in a complete working cycle.

[0029] Since the circuit may have different working modes or be affected by different factors in different working periods, the equivalent working circuit curve is divided into multiple equivalent current segments. For example, an electronic device may have completely different current changes in the startup phase, stable working phase and shutdown phase. When the device is started, the capacitor charging and chip initialization processes in the circuit may cause the current to increase instantly. In the stable working phase, the current may maintain a relatively stable value. In the shutdown phase, the current will gradually decrease.

[0030] For each working period, the equivalent current segmentation is determined by fitting the working current change trend. Fitting is a mathematical method that usually uses some known function forms (such as linear functions, exponential functions, polynomial functions, etc.) to approximate the actual current change curve. In practical applications, if there are more complex circuits, the interaction of multiple electronic components may be involved. For example, in a circuit system containing a microcontroller, a sensor, and multiple power devices, during the data acquisition stage of the sensor, the microcontroller may control some peripheral circuits to read the sensor data, and the current change may be more complicated at this time. By analyzing the current data collected at multiple time points and then selecting a suitable function for fitting, the functional form of the current change trend during this working period can be constructed, thereby determining an equivalent current segmentation.

[0031] In an embodiment of the present application, the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is less than the fuse blowing duration of the target fuse at the same current size. Specifically, the equivalent working circuit curve is used to describe the change of current when the circuit is working normally. Each equivalent current segment represents the current state of the circuit in a specific working mode or stage. This duration refers to the length of time the circuit can maintain this specific current change mode. For example, an electronic device may have an equivalent current segment with a larger current during the startup phase, and this phase may only last for a few milliseconds to a few seconds. In the stable working phase, the current is relatively small and stable, and the duration of this equivalent current segment may be very long, such as several minutes or even hours.

[0032] It is understandable that the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is shorter than the fuse blowing duration at the same current magnitude in the target fuse, in order to ensure that the fuse will not blow during normal operation of the circuit. Because if the current duration of the circuit at a certain working stage exceeds the fuse blowing time at the current, the fuse will blow, causing the circuit to fail to work properly.

[0033] In an embodiment of the present application, the fuse blowing time at each current size in the target fuse is shorter than the wire harness smoking time at the same current size in the wire harness smoking curve. For the target fuse, its blowing time is determined by factors such as the material, size and current size of the fuse. Different current sizes correspond to different blowing times. Generally, the larger the current, the shorter the time required for blowing. For example, a fuse with a rated current of 10A may blow within a few seconds when a current of 20A passes through it. When a current of 12A passes through it, it may take several minutes to blow. Fuse manufacturers usually provide a time-current characteristic curve (TCC curve) to describe this relationship for users to refer to when designing circuits.

[0034] A wiring harness is a bundle of wires that connect electrical equipment. It will also generate heat under abnormal current conditions. When the current is too large, the temperature of the wiring harness will gradually rise, and the insulating material may start to smoke due to overheating. The length of time the wiring harness smokes is also related to the current size. The larger the current, the faster the temperature of the wiring harness rises, and the shorter the smoking time may be. The wiring harness smoke curve is obtained through experiments and other means to describe the time required for the wiring harness to start smoking at different current sizes. For example, for a wiring harness of a certain specification, it may take 10 minutes to start smoking at a current of 15A. At a current of 30A, it may start smoking in 2 minutes.

[0035] As an optional embodiment, obtaining the working current curve of the object to be processed in the working state in 101 can be implemented as follows: first, obtaining the test load current data of the object to be processed in the working state. That is, the current parameters of the object to be processed (electrical equipment or circuit elements) in the working state of the smart car are collected by the test equipment. These current parameters may include but are not limited to current value, voltage value, power consumption, etc. In addition, the display data of the test equipment can be obtained by the image acquisition device, and these data can be used to assist in understanding and verifying the current change. Then, the load current value in the test load current data is used as the ordinate value, and the corresponding measurement time in the test load current data is used as the abscissa value to construct the working current curve. Through the above steps, a working current curve can be constructed, which reflects the current change of the object to be processed in the working state.

[0036] Wherein, the test load data at least includes the current parameters collected by the test equipment and / or the test equipment display data obtained by the image acquisition device. In this way, the accuracy of the current data is ensured by direct measurement and verification by the image acquisition device. The curve chart provides clear visualization, which is convenient for understanding and analyzing the current changes. Real-time or timed collection of current data ensures the timeliness and integrity of the data. This is especially important for dynamically changing systems such as smart cars. By recording the measurement time and the corresponding current value, the curve chart provides traceability of current changes. The current value at any point in time can be found in the curve chart, which is convenient for subsequent analysis and verification. The test equipment display data obtained by the image acquisition device can be used as an auxiliary analysis tool for current changes. For example, by comparing the current parameters and image data, the details and causes of the current changes can be more fully understood. Exemplarily, the working current curve finally constructed can be as follows Figure 2 The waveform shown.

[0037] As an optional embodiment, in 102, according to the target application scenario of the smart car, the working current curve is adaptively converted to obtain the equivalent working current curve of the object to be processed in the target application scenario, which can be implemented as follows: 301, dividing the working current curve into multiple segments according to the measurement time to obtain multiple working current segments; 302 , using a preset conversion method matching the target application scenario, converting a plurality of working current segments into a plurality of equivalent current segments to obtain the equivalent working current curve.

[0038] Wherein, each working current segment contains multiple load current values ​​corresponding to the measurement time, and the maximum difference between the load current values ​​in each working current segment is less than the set threshold. Further optionally, the greater the difference between the load current values ​​in the working current curve changes, the more working current segments are obtained by segmentation.

[0039] Specifically, first, in 301, the working current curve is divided into multiple working current segments according to time. Each segment contains multiple load current values ​​corresponding to the measurement time. In order to ensure that the current change trend of each segment is relatively consistent, a maximum difference threshold is set. When the maximum difference of the current value in the segment is less than the threshold, the segment is considered to be valid. If the difference exceeds the threshold, the segment needs to be further subdivided. Then, in 302, according to the target application scenario of the smart car (such as urban driving, high-speed driving, high temperature environment, low temperature environment, etc.), the corresponding preset conversion method is selected to convert each working current segment into an equivalent current segment. These equivalent current segments constitute the equivalent working current curve under the target application scenario. According to different target application scenarios, the corresponding conversion method is selected. For example, urban driving: considering the characteristics of frequent start-stop and low-speed driving, it is necessary to increase the operation frequency of the braking and starting systems. High-speed driving: considering the characteristics of high-speed driving and long-term cruising, it is necessary to reduce the braking frequency. Rainy night environment: considering the impact of extreme temperature on electrical equipment, it is necessary to increase the frequency and working time of wipers and lights.

[0040] In an optional example, dynamic time segmentation can be used. For example, assuming that the maximum difference threshold is 0.3A, such as segment 1: the time interval from 1.2A to 1.5A is 0.5s; segment 2: the time interval from 1.5A to 1.8A is 5s; segment 3: the time interval from 1.8A to 2.1A is 10s. Further, taking the urban driving scene as an example, considering the characteristics of frequent start and stop, the braking system operation frequency is relatively high, and a driving cycle can set more braking times, such as 50 times or more. The time interval between each operation is 10s. The accumulated current duration of the brake lights and the braking system will increase. Only in this way can the selected insurance specifications ensure safety.

[0041] Through the above steps, the equivalent working current curve under the target application scenario (urban driving) is finally obtained. This curve reflects the current changes of smart cars in urban driving environments and provides an accurate reference for fuse selection.

[0042] Continuing with the above example, assuming that the working current curve of a certain object to be processed is constructed in the previous step, it can be as follows Figure 2 The waveform diagram shown in FIG. can be obtained by segmentation through steps 301 and 302. Figure 2 The multiple operating current segments shown in FIG. Figure 2 In the working current curve of a certain object to be processed shown in , the change of current over time shows different trends, so the curve is divided into multiple working current segments. From segment 1 to segment 5, the current changes rapidly over time. The current changes more intensively in this interval, so the number of segments obtained by segmentation is relatively dense. From segment 6 to segment 7, the current changes relatively slowly over time. The current changes more slowly in this interval, so this interval is divided into two segments. In segment 8, the current is almost horizontal over time, that is, the current value remains constant. Since the current value is basically constant, only one segment is taken for this part. In segments 9 and 10, the current changes rapidly over time. Although the curve segment is short, this part is still divided into two segments because the current changes rapidly.

[0043] The above segmentation strategy ensures that the current change trend in each working current segment is relatively consistent, thereby improving the accuracy of the equivalent working current curve. This detailed segmentation method helps to better understand and analyze the current changes of the object to be processed under working conditions, and provides a more accurate reference for the selection of smart automotive fuses.

[0044] As an optional embodiment, in the above step 302, a preset conversion method matching the target application scenario is adopted to convert multiple working current segments into multiple equivalent current segments to obtain the equivalent working current curve, which can be implemented as follows: 401, obtaining an operation frequency coefficient and a total number of operations corresponding to the target application scenario; 402. For each working current segment, the sum of the maximum value and the minimum value of the load current value in each working current segment is divided by two, and then divided by the temperature coefficient K to obtain an equivalent current value corresponding to each working current segment; the temperature coefficient K is expressed as the following formula: , where T is the ambient temperature of the working environment where the object to be processed is located; 403, multiplying the measurement time duration corresponding to each working current segment by the product of the operation frequency coefficient and the total number of operations to obtain the current duration of the equivalent current value corresponding to each working current segment; 404 , based on the equivalent current value corresponding to each working current segment and the corresponding current duration, construct an equivalent current segment corresponding to each working current segment to obtain the equivalent working current curve.

[0045] Exemplarily, the operation frequency coefficient represents the operation frequency of the object to be processed in the target application scenario. For example, in the urban driving scenario, the operation frequency coefficient may be higher. The total number of operations represents the total number of operations in the target application scenario. For example, in the urban driving scenario, the total number of operations may be higher.

[0046] 402, considering the operation frequency in the user scenario and combining the heat dissipation characteristics of the fuse, derive the current curve of the motor working in a specific scenario at a certain ambient temperature. The equivalent current value of each working current segment The calculation formula is as follows: ; Among them, the maximum value of the load current is The minimum load current value is , temperature coefficient K.

[0047] 403, the current duration of the equivalent current value corresponding to each working current segment The calculation formula is expressed as: ; Among them, the operation frequency coefficient is The total number of operations is , the measurement time corresponding to each working current segment is .

[0048] Further optionally, if the measurement time interval between two operations in each working current segment is less than the set interval threshold, the operation frequency coefficient f is set to f=1. In practical applications, the set interval threshold is selected according to the heating characteristic parameters of the fuse. Further optionally, if the measurement time interval between two operations in each working current segment is greater than the thermal recovery time of the fuse, the operation frequency coefficient f is set to: f=1 / m. Wherein, m is the total number of operations. Further optionally, if the measurement time interval between two operations in each working current segment is greater than the set interval threshold, and the measurement time interval between two operations in each working current segment is less than the thermal recovery time of the fuse, the operation frequency coefficient f is a dynamic value greater than 1 / m and less than 1. It can be understood that the size of the dynamic value is related to the measurement time interval. The shorter the measurement time interval, the closer the size of the dynamic value is to 1. In practical applications, equivalent numerical mapping of dynamic values ​​can be performed based on the current change rate.

[0049] At 404 , the equivalent current values ​​and current durations calculated by the above method for all the working current segments are connected in chronological order to obtain an equivalent working current curve under the target application scenario (urban driving).

[0050] Through the above steps, the equivalent working current curve is finally obtained, which reflects the current change of the smart car in the urban driving environment and provides an accurate reference for fuse selection.

[0051] For example, assuming that the equivalent current value of each working current segment is , and the corresponding current duration Assume m=5 times, interval 10s, and f=0.8 to get the equivalent current curve of the motor in a specific scenario. Figure 3 shown.

[0052] As an optional embodiment, in 103, comparing the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse to obtain the target fuse matching the object to be processed can be implemented as follows: 501, comparing the equivalent working current curve with the pre-set fuse blowing curves of multiple candidate fuses one by one, screening out candidate fuses whose fuse blowing duration is greater than the current duration under the same current magnitude in each equivalent current segment, and using the specifications of the screened candidate fuses as target fuse specifications; 502, for each selected candidate fuse, compare the fuse blowing curve of each candidate fuse with the wire harness smoke curves under multiple candidate wire diameters one by one, and select the candidate wire diameters whose wire harness smoke duration is greater than the fuse blowing duration under the same current as the target wire diameter; 503 : Based on the target fuse specification and the target wire diameter, select a target fuse matching the object to be processed.

[0053] For example, in 501, based on the equivalent working current curve obtained in the above step, a point-to-point comparison is performed from the pre-selected stored fuse blowing curves corresponding to the various types of fuses, thereby automatically outputting the matching fuse specifications. Figure 4 The multiple curves shown. Figure 4 In the diagram, the horizontal axis represents the current passing through the fuse, and the vertical axis represents the time duration for which the current passes through the fuse.

[0054] Further optionally, the fuse fusing curves of various specifications and models, and the wiring harness smoke curves of various specifications and models (such as Figure 5These curves can be directly identified by image processing technology, or obtained by data abstraction of experimental data of fuses of various specifications and models. Then, the current and duration corresponding to each point on the curve are abstracted into a database for comparison of load current, fuse melting current, and wiring harness smoke curve current.

[0055] It is understandable that the wire harness smoke curve is used to compare with the curve of the selected fuse specification, requiring that the duration corresponding to the current at each point corresponding to the fuse be less than the duration corresponding to the corresponding current of the wire harness smoke curve. This ensures that the fuse has blown before the fuse harness smokes, achieving the purpose of protecting the wire.

[0056] In 501, after comparing the equivalent working current curve with the pre-set fuse blowing curves of multiple candidate fuses one by one, candidate fuses whose fuse blowing duration is greater than the current duration at the same current size in each equivalent current segment can be screened out, and the specifications of the screened candidate fuses are used as target fuse specifications.

[0057] Exemplarily, according to the functional characteristics of the selected load, the motor operating frequency coefficient f, the total number of actions m, the ambient temperature when the motor is operating, voltage parameters, etc. are input according to the functional scenario. Based on these inputs, in step 501, the system will automatically compare the current value of each point on the fuse melting curve and the corresponding melting time stored in the database according to each equivalent current segment and its current duration in the equivalent working current curve. Through this comparison, the fuse melting time is screened out, which is greater than the current duration of the same current in each equivalent current segment, thereby ensuring that any point on the equivalent working current curve of the load is inside the selected fuse melting curve (such as Figure 6 As shown). Take the equivalent working current value corresponding to any point of the load on the ordinate, and the horizontal line extends to the right. The intersection with the load curve is a, and the intersection with the fuse melting curve is b. The corresponding times are t1 and t2. By ensuring that t2 is greater than t1 corresponding to the load current, the selected fuse will not be blown prematurely when the load is working normally, affecting normal user use. Finally, the smallest fuse selection specification closest to the equivalent current curve is selected to ensure that the load can be effectively protected under various working conditions.

[0058] After selecting the fuse specification in 501, the next step is to select the wire diameter. In 502, for each selected candidate fuse, the fuse blowing curve of each candidate fuse is compared with the wire harness smoke curves under multiple candidate wire diameters, and the candidate wire diameters whose wire harness smoke duration is greater than the fuse blowing duration under the same current are selected as the target wire diameters.

[0059] Continuing with the previous example, Figure 6 In the figure, by extending the horizontal line of any point on the ordinate to the right, the horizontal line will intersect with the curves on the right in sequence. Among them, the intersection of the horizontal line (that is, the working load current value at point a) and the fuse blowing curve is recorded as b, and the intersection with the smoke curve is recorded as c. The horizontal coordinate times corresponding to these two intersections are t2 and t3, respectively. By comparing t2 and t3, select the wiring harness specification whose corresponding time of the wiring harness smoke curve is greater than the fuse blowing curve time, that is, t3 corresponding to any point current is greater than t2. Match the smoke curves of different wire diameters of the wiring harness according to the fuse blowing curve to ensure that each point of the smoke curve of the selected wire diameter is outside the blowing curve, thereby avoiding the wiring harness from smoking before the fuse blows, and effectively protecting the wiring harness from fire. This method can also ensure that the selected wire diameter is closest to the actual demand, reducing the weight and cost of the wiring harness.

[0060] In practical applications, in addition to selecting a wire diameter so that each point of the smoke curve is outside the fuse curve to ensure that the fuse blows before the wiring harness smokes, it is also necessary to meet the wiring harness specifications that are closest to the fuse fuse curve within the entire ambient temperature range.

[0061] As an optional embodiment, after 103, if there are multiple target fuses, the target fuse with the smallest difference between the fuse fusing curve and the equivalent working current curve is selected as the target fuse finally used by the object to be processed. This selection method ensures that the selected fuse can provide effective protection under various working conditions and avoid unnecessary over-design, thereby reducing cost and complexity.

[0062] For example, assuming that the target application scenario is the air conditioning system of a smart car, the equivalent working current curve has been generated. After screening out the qualified fuses, assume that there are the following three fuses to choose from: the rated current of fuse A is 15A, and the fusing curve shows that the fusing time at 15A is 20 seconds; the rated current of fuse B is 20A, and the fusing curve shows that the fusing time at 20A is 30 seconds; the rated current of fuse C is 10A, and the fusing curve shows that the fusing time at 10A is 15 seconds.

[0063] Assume that the generated equivalent operating current curve has a current duration of 18 seconds at 15A.

[0064] Fuse A: Difference = 20 seconds (blowing time) - 18 seconds (current duration) = 2 seconds Fuse B: Difference = 30 seconds (blowing time) - 18 seconds (current duration) = 12 seconds Fuse C: Difference = 15 seconds (blowing time) - 18 seconds (current duration) = -3 seconds (not usable because the blowing time is less than the current duration) According to the above calculation, the difference of Fuse A is the smallest (2 seconds), and the difference of Fuse B is greater than that of Fuse A. The difference of Fuse C is a negative number, which means that its melting time is less than the duration of the current and cannot meet the requirements. Therefore, Fuse A is selected as the target fuse to be used in the end.

[0065] Through this selection method, fuse A can provide sufficient protection when the air conditioning system is working, and ensure that it will not blow prematurely under normal working conditions, thereby ensuring the stability and safety of the system. At the same time, this selection method also avoids over-design and additional costs, and achieves the best fuse selection.

[0066] As an optional embodiment, after 103, a whole vehicle workload model corresponding to the smart car can also be constructed based on the electrical equipment and / or circuit elements in the smart car. Then, the working state of the whole vehicle workload model in different application scenarios is simulated to obtain the predicted load conditions of the whole vehicle workload model in each time period. Then, based on the predicted load conditions, a first predicted working current curve of the object to be processed in each time period and a second predicted working current curve of the electrical equipment and / or circuit elements associated with the object to be processed are constructed. Finally, based on the first predicted working current curve and the second predicted working current curve, the target fuse is optimized.

[0067] For example, it is assumed that the target application scenario is the whole vehicle electrical system of a smart car, including the engine control unit (ECU), lighting system, air conditioning system, etc. First, a vehicle workload model is constructed based on these electrical devices and circuit elements. When constructing the vehicle workload model, the electrical loads of the engine control unit (ECU), lighting system, and air conditioning system are considered. A typical urban driving scenario is simulated, including the start-up period (engine start), driving period (normal driving), and parking period (parking and turning on the interior lighting and air conditioning), and the predicted load conditions are obtained: the total load during the start-up period is 50A (ECU: 50A), the total load during the driving period is 35A (ECU: 5A, lighting system: 15A, air conditioning system: 15A), and the total load during the parking period is 50A (ECU: 5A, lighting system: 15A, air conditioning system: 30A). In the first predicted working current curve, the ECU is 50A, 5A, and 5A in each period; in the second predicted working current curve, the lighting system is 0A, 15A, 15A and the air conditioning system is 0A, 15A, and 30A. Optimize the target fuse according to the actual use stage and working time. The above current values ​​are examples and are not limited in actual applications.

[0068] Through the above steps, the target fuse is optimized based on the vehicle workload model and predicted working current curve to ensure that the fuse can provide the best protection and performance matching in different application scenarios and time periods, while reducing the risk and cost of the vehicle electrical system.

[0069] As an alternative embodiment, see Figure 7 The tool interface of the present application also proposes a software work for realizing the above functional steps. Specifically, by clicking the image scanning button, the tool will automatically obtain the current curve data and extract the current data therein. After clicking the image storage button, the system will store the scanned current curve data in the built-in database for subsequent use. Click the fuse database button, and the system will display the stored fuse melting curve diagram and all specification data, which is convenient for users to select and compare. Click the wire harness smoke curve database button, and the system will list all stored wire harness smoke curves and their specification data for user reference. By clicking the wire harness standard selection button, users can select different wire harness standard data, such as German standard, Japanese standard, etc., and the system will calculate the wire harness wire diameter according to the selected standard. Click the current curve segmentation setting button, and the user can set the scanned load current curve in segments for more detailed current analysis. By clicking the load use frequency coefficient button, the user can set the frequency coefficient for calculating the equivalent current and time to ensure that the calculation result is more in line with the actual use. Click the load continuous use number button, and the user can set the number of times to calculate the equivalent current and time, so as to accurately simulate the working state of the load. After completing the above parameter settings, click the Fuse Selection Calculation button, and the system will output the fuse selection specifications suitable for different voltages and temperatures based on the input load data and environmental conditions. Click the Wire Harness Wire Diameter Selection Calculation button, and the system will calculate and output the corresponding wire harness wire diameter specifications based on the selected fuse specifications to ensure that the wire harness will not smoke before the fuse blows.

[0070] In an embodiment of the present application, a corresponding fuse is configured for an object to be processed in a smart car, and the object to be processed includes electrical equipment and / or circuit elements in the smart car. First, the working current curve of the object to be processed in the working state is obtained. Then, according to the target application scenario of the smart car, the working current curve is adaptively converted to obtain the equivalent working current curve of the object to be processed in the target application scenario. The equivalent working circuit curve includes multiple equivalent current segments, and each equivalent current segment is obtained by fitting the working current change trend in the corresponding working period. Finally, the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse are compared to obtain the target fuse matching the object to be processed. Among them, the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is less than the fuse blowing duration under the same current size in the target fuse, and the fuse blowing duration under each current size in the target fuse is less than the wiring harness smoking duration under the same current size in the wiring harness smoking curve. The embodiments of the present application not only improve the safety and reliability of the circuit, but also optimize the fuse selection process to adapt to the complex and changing application requirements of smart cars.

[0071] In another embodiment of the present application, an intelligent automobile fuse selection device is also provided. Figure 8 The device comprises the following units: An acquisition unit, configured to acquire a working current curve of the object to be processed in a working state; A conversion unit is configured to adaptively convert the working current curve according to a target application scenario of the smart car to obtain an equivalent working current curve of the object to be processed in the target application scenario; the equivalent working circuit curve includes a plurality of equivalent current segments, each of which is obtained by fitting the working current change trend in the corresponding working period; The comparison unit is configured to compare the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse to obtain a target fuse matching the object to be processed; wherein the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is shorter than the fuse blowing duration at the same current magnitude in the target fuse, and the fuse blowing duration at each current magnitude in the target fuse is shorter than the wiring harness smoking duration at the same current magnitude in the wiring harness smoking curve.

[0072] Further optionally, the acquiring unit, which acquires the working current curve of the object to be processed in the working state, is configured to: Acquire test load current data of the object to be processed in a working state; the test load data at least includes current parameters acquired by a test device and / or test device display data acquired by an image acquisition device; The working current curve is constructed by taking the load current value in the test load current data as the ordinate value and taking the corresponding measurement time in the test load current data as the abscissa value.

[0073] Further optionally, the conversion unit adaptively converts the working current curve according to the target application scenario of the smart car to obtain an equivalent working current curve of the object to be processed in the target application scenario, and is configured as follows: The working current curve is divided into multiple segments according to the measurement time to obtain multiple working current segments; wherein each working current segment contains multiple load current values ​​corresponding to the measurement time, and the maximum difference between the load current values ​​in each working current segment is less than a set threshold value; the greater the difference between the load current values ​​in the working current curve is, the more working current segments are obtained by segmentation; A preset conversion method matching the target application scenario is adopted to convert multiple working current segments into multiple equivalent current segments to obtain the equivalent working current curve.

[0074] Further optionally, the conversion unit adopts a preset conversion method matching the target application scenario to convert the multiple working current segments into multiple equivalent current segments to obtain the equivalent working current curve, and is configured as follows: Obtaining the operation frequency coefficient and the total number of operations corresponding to the target application scenario; For each working current segment, the sum of the maximum value and the minimum value of the load current value in each working current segment is divided by two, and then divided by the temperature coefficient K to obtain the equivalent current value corresponding to each working current segment; the temperature coefficient K is expressed as the following formula: , where T is the ambient temperature of the working environment where the object to be processed is located; Multiply the measurement time corresponding to each working current segment by the product of the operation frequency coefficient and the total number of operations to obtain the current duration of the equivalent current value corresponding to each working current segment; Based on the equivalent current value corresponding to each working current segment and the corresponding current duration, an equivalent current segment corresponding to each working current segment is constructed to obtain the equivalent working current curve.

[0075] Further optionally, if the measurement time interval between two operations in each working current segment is less than a set interval threshold, and the set interval threshold is selected according to the heating characteristic parameter of the fuse, then the operation frequency coefficient f is set to f=1; or If the measurement time interval between two operations in each working current segment is greater than the thermal recovery time of the fuse, the operation frequency coefficient f is set to: f=1 / m; m is the total number of operations; or If the measurement time interval between two operations in each working current segment is greater than a set interval threshold, the set interval threshold is selected according to the heating characteristic parameter of the fuse, and the measurement time interval between two operations in each working current segment is less than the thermal recovery time of the fuse, then the operation frequency coefficient f is a dynamic value greater than 1 / m and less than 1; the size of the dynamic value is related to the measurement time interval, and the shorter the measurement time interval, the closer the size of the dynamic value is to 1.

[0076] Further optionally, the comparison unit compares the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse to obtain a target fuse matching the object to be processed, and is configured as follows: Compare the equivalent working current curve with the pre-set fuse blowing curves of multiple candidate fuses one by one, screen out candidate fuses whose fuse blowing duration is greater than the current duration under the same current magnitude in each equivalent current segment, and use the specifications of the screened candidate fuses as target fuse specifications; For each selected candidate fuse, the fuse blowing curve of each candidate fuse is compared with the wire harness smoke curves under multiple candidate wire diameters, and the candidate wire diameters whose wire harness smoke duration is greater than the fuse blowing duration under the same current are selected as the target wire diameters; A target fuse matching the object to be processed is selected based on the target fuse specification and the target wire diameter.

[0077] Further optionally, a secondary comparison unit is included, which is configured to: after the comparison unit compares the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse to obtain the target fuse matching the object to be processed, if there are multiple target fuses, select the target fuse with the smallest difference between the fuse blowing curve and the equivalent working current curve as the target fuse finally used by the object to be processed.

[0078] Further optionally, an optimization unit is included, configured to: after the comparison unit compares the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse to obtain the target fuse matching the object to be processed, build a whole vehicle workload model corresponding to the smart car according to the electrical equipment and / or circuit elements in the smart car; Simulating the working state of the vehicle workload model in different application scenarios to obtain the predicted load conditions of the vehicle workload model in various time periods; According to the predicted load condition, constructing a first predicted working current curve of the object to be processed in each time period and a second predicted working current curve of the electrical equipment and / or circuit element associated with the object to be processed; The target fuse is optimized based on the first predicted operating current curve and the second predicted operating current curve.

[0079] The system can implement various steps in the above method embodiment, which will not be expanded here.

[0080] In the embodiment of the present application, an intelligent automobile fuse selection device is used to improve the safety and reliability of the circuit, optimize the fuse selection process, and adapt to the complex and changeable application requirements of intelligent automobiles.

[0081] See also Fig. 9 , Fig. 9 This is a schematic diagram of an electronic device provided in an embodiment of the present application. Fig. 9 As shown, the embodiment of the present application provides an electronic device 900, including a memory 910, a processor 9102, and a computer program 911 stored in the memory 910 and executable on the processor 9102. When the processor 9102 executes the computer program 911, the following steps are implemented: obtaining a working current curve of the object to be processed in a working state; adaptively converting the working current curve according to the target application scenario of the smart car to obtain an equivalent working current curve of the object to be processed in the target application scenario; the equivalent working circuit curve includes a plurality of equivalent current distributions. The equivalent current segment is obtained by fitting the working current variation trend in the corresponding working period; the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse are compared to obtain the target fuse matching the object to be processed; wherein the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is shorter than the fuse blowing duration of the target fuse at the same current magnitude, and the fuse blowing duration of each current magnitude in the target fuse is shorter than the wiring harness smoke duration of the wiring harness smoke curve at the same current magnitude.

[0082] See also Fig.10 , Fig.10 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present application. Fig.10 As shown, this embodiment provides a computer-readable storage medium 1000, on which a computer program 1101 is stored. When the computer program 1101 is executed by a processor, the following steps are implemented: obtaining a working current curve of the object to be processed in a working state; adaptively converting the working current curve according to the target application scenario of the smart car to obtain an equivalent working current curve of the object to be processed in the target application scenario; the equivalent working circuit curve includes a plurality of equivalent current segments, each of which is obtained by fitting the working current change trend in the corresponding working period; comparing the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse to obtain a target fuse matching the object to be processed; wherein, the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is less than the fuse blowing duration of the target fuse at the same current magnitude, and the fuse blowing duration of the target fuse at each current magnitude is less than the wiring harness smoking duration of the wiring harness smoking curve at the same current magnitude.

[0083] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0084] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0085] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0086] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A smart automobile fuse selection method, characterized in that: The method is used to configure a corresponding fuse for an object to be processed in a smart car, wherein the object to be processed includes an electrical device and / or a circuit element in the smart car; the method comprises: Obtaining a working current curve of the object to be processed in a working state; According to the target application scenario of the smart car, the working current curve is adaptively converted to obtain an equivalent working current curve of the object to be processed in the target application scenario; the equivalent working circuit curve includes a plurality of equivalent current segments, each of which is obtained by fitting the working current change trend in the corresponding working period; The target fuse matching the object to be processed is obtained by comparing the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse; wherein the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is shorter than the fuse blowing duration at the same current magnitude in the target fuse, and the fuse blowing duration at each current magnitude in the target fuse is shorter than the wiring harness smoking duration at the same current magnitude in the wiring harness smoking curve.

2. The intelligent automobile fuse selection method according to claim 1, characterized in that: The obtaining of the working current curve of the object to be processed in the working state includes: Acquire test load current data of the object to be processed in a working state; the test load data at least includes current parameters acquired by a test device and / or test device display data acquired by an image acquisition device; The working current curve is constructed by taking the load current value in the test load current data as the ordinate value and taking the corresponding measurement time in the test load current data as the abscissa value.

3. The intelligent automobile fuse selection method according to claim 1, characterized in that: The step of adaptively converting the working current curve according to the target application scenario of the smart car to obtain an equivalent working current curve of the object to be processed in the target application scenario includes: The working current curve is divided into multiple segments according to the measurement time to obtain multiple working current segments; wherein each working current segment contains multiple load current values ​​corresponding to the measurement time, and the maximum difference between the load current values ​​in each working current segment is less than a set threshold value; the greater the difference between the load current values ​​in the working current curve is, the more working current segments are obtained by segmentation; A preset conversion method matching the target application scenario is adopted to convert multiple working current segments into multiple equivalent current segments to obtain the equivalent working current curve.

4. The intelligent automobile fuse selection method according to claim 3, characterized in that: The method of converting a plurality of working current segments into a plurality of equivalent current segments by using a preset conversion method matching the target application scenario to obtain the equivalent working current curve includes: Obtaining the operation frequency coefficient and the total number of operations corresponding to the target application scenario; For each working current segment, the sum of the maximum value and the minimum value of the load current value in each working current segment is divided by two, and then divided by the temperature coefficient K to obtain the equivalent current value corresponding to each working current segment; the temperature coefficient K is expressed as the following formula: , where T is the ambient temperature of the working environment where the object to be processed is located; Multiply the measurement time corresponding to each working current segment by the product of the operation frequency coefficient and the total number of operations to obtain the current duration of the equivalent current value corresponding to each working current segment; Based on the equivalent current value corresponding to each working current segment and the corresponding current duration, an equivalent current segment corresponding to each working current segment is constructed to obtain the equivalent working current curve.

5. The intelligent automobile fuse selection method according to claim 4, characterized in that: If the measurement time interval between two operations in each working current segment is less than a set interval threshold, and the set interval threshold is selected according to the heating characteristic parameter of the fuse, the operation frequency coefficient f is set to f=1; or If the measurement time interval between two operations in each working current segment is greater than the thermal recovery time of the fuse, the operation frequency coefficient f is set to: f=1 / m; m is the total number of operations; or If the measurement time interval between two operations in each working current segment is greater than a set interval threshold, the set interval threshold is selected according to the heating characteristic parameter of the fuse, and the measurement time interval between two operations in each working current segment is less than the thermal recovery time of the fuse, then the operation frequency coefficient f is a dynamic value greater than 1 / m and less than 1; the size of the dynamic value is related to the measurement time interval, and the shorter the measurement time interval, the closer the size of the dynamic value is to 1.

6. The intelligent automobile fuse selection method according to claim 1, characterized in that: The comparing the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse to obtain a target fuse matching the object to be processed includes: Compare the equivalent working current curve with the pre-set fuse blowing curves of multiple candidate fuses one by one, screen out candidate fuses whose fuse blowing duration is greater than the current duration under the same current magnitude in each equivalent current segment, and use the specifications of the screened candidate fuses as target fuse specifications; For each selected candidate fuse, the fuse blowing curve of each candidate fuse is compared with the wire harness smoke curves under multiple candidate wire diameters, and the candidate wire diameters whose wire harness smoke duration is greater than the fuse blowing duration under the same current are selected as the target wire diameters; A target fuse matching the object to be processed is selected based on the target fuse specification and the target wire diameter.

7. The intelligent automobile fuse selection method according to claim 1, characterized in that: After comparing the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse to obtain the target fuse matching the object to be processed, the method further includes: If there are multiple target fuses, a target fuse with the smallest difference between the fuse blowing curve and the equivalent working current curve is selected as the target fuse finally used by the object to be processed.

8. The intelligent automobile fuse selection method according to claim 1, characterized in that: After comparing the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke curve of the candidate fuse to obtain the target fuse matching the object to be processed, the method further includes: According to the electrical devices and / or circuit elements in the smart car, a whole vehicle workload model corresponding to the smart car is constructed; Simulating the working state of the vehicle workload model in different application scenarios to obtain the predicted load conditions of the vehicle workload model in various time periods; According to the predicted load condition, constructing a first predicted working current curve of the object to be processed in each time period and a second predicted working current curve of the electrical equipment and / or circuit element associated with the object to be processed; The target fuse is optimized based on the first predicted operating current curve and the second predicted operating current curve.

9. An intelligent automobile fuse selection device, characterized in that: The device is used to configure a corresponding fuse for an object to be processed in a smart car, wherein the object to be processed includes an electrical device and / or a circuit element in the smart car; the device includes the following units, wherein: An acquisition unit, configured to acquire a working current curve of the object to be processed in a working state; A conversion unit is configured to adaptively convert the working current curve according to a target application scenario of the smart car to obtain an equivalent working current curve of the object to be processed in the target application scenario; the equivalent working circuit curve includes a plurality of equivalent current segments, each of which is obtained by fitting the working current change trend in the corresponding working period; The comparison unit is configured to compare the equivalent working current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoking curve of the candidate fuse to obtain a target fuse matching the object to be processed; wherein the current duration corresponding to each equivalent current segment in the equivalent working circuit curve is shorter than the fuse blowing duration at the same current magnitude in the target fuse, and the fuse blowing duration at each current magnitude in the target fuse is shorter than the wiring harness smoking duration at the same current magnitude in the wiring harness smoking curve.

10. An electronic device, characterized in that: include: Memory for storing computer software programs; A processor is used to read and execute the computer software program, thereby implementing the intelligent automobile fuse selection method according to any one of claims 1 to 8.

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