An intelligent automobile fuse selection method and related device

Abstract

This application relates to a method and related apparatus for selecting fuses for intelligent vehicles. The method includes: acquiring the operating current curve of the object under operating conditions; adaptively transforming the operating current curve according to the target application scenario of the intelligent vehicle to obtain the equivalent operating current curve of the object under the target application scenario; comparing the equivalent operating current curve, the fuse fusing curve of candidate fuses, and the wiring harness smoke emission curve to obtain the target fuse matching the object under operating conditions. The current duration corresponding to each equivalent current segment in the equivalent operating circuit curve is less than the fuse fusing time of the target fuse at the same current magnitude, and the fuse fusing time of the target fuse at each current magnitude is less than the wiring harness smoke emission time at the same current magnitude in the wiring harness smoke emission curve. This method improves the safety and reliability of the circuit, optimizes the fuse selection process, and helps adapt to the complex and ever-changing application requirements of intelligent vehicles.

Description

Technical Field

[0001] This application relates to the field of data processing, and in particular to a method for selecting intelligent vehicle fuses and related devices. Background Technology

[0002] A fuse is an electrical component that protects wiring harnesses. Without a fuse in the circuit, an overload or short circuit can cause the current flowing through the wires to exceed their current-carrying capacity, leading to spontaneous combustion and a safety hazard. In circuit design, a fuse is connected in series on the power supply side. When the load experiences overcurrent or a short circuit occurs, the heat generated by the current reaches the melting point of the smaller cross-sectional area of ​​the fuse, causing it to melt and break, thus protecting the wires in that circuit. If the fuse blows later than the time the wires start to smoke, it can cause the entire vehicle to catch fire. If the fuse is too small, it may blow rapidly even when the load is operating normally, resulting in premature loss of vehicle functionality. Therefore, the appropriate matching of fuse and wiring harness specifications with the controlled load parameters is crucial.

[0003] The selection of fuse and wiring harness specifications is influenced by the type of electrical load. Automotive electrical loads can be categorized into continuous and intermittent loads. Continuous loads refer to loads that operate continuously and stably once a function is activated and before being deactivated, such as seat heating. Intermittent loads refer to loads where current flows only briefly during operation, either when the hand is released or after a period of time when the function automatically shuts off. Examples include door lock motors, window motors, and power steering motors. In related technologies, to ensure that fuses will not blow due to overload under any circumstances, a large safety factor is usually introduced when calculating fuse capacity, resulting in generally larger fuse capacities. Although factors such as ambient temperature and the maximum operating current of the circuit are considered, this approach affects the selection of wire diameter, increases the overall vehicle weight, reduces the utilization of vehicle space, and increases unnecessary resource waste.

[0004] Therefore, there is an urgent need to design a technical solution to solve at least one of the above-mentioned technical problems. Summary of the Invention

[0005] This application addresses the technical problems existing in the prior art by providing a method and related device for selecting fuses for intelligent vehicles, thereby improving the safety and reliability of circuits, optimizing the fuse selection process, and adapting to the complex and ever-changing application needs of intelligent vehicles.

[0006] In a first aspect, embodiments of this application provide a method for selecting fuses for intelligent vehicles. This method is used to configure corresponding fuses for objects to be processed within an intelligent vehicle, the objects including electrical equipment and / or circuit components within the intelligent vehicle; the method includes:

[0007] Obtain the operating current curve of the object to be processed in its working state;

[0008] Based on the target application scenario of the intelligent vehicle, the operating current curve is adaptively transformed to obtain the equivalent operating current curve of the object to be processed under the target application scenario; the equivalent operating current curve includes multiple equivalent current segments, and each equivalent current segment is obtained by fitting the operating current change trend within the corresponding operating time period.

[0009] By comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse, a target fuse matching the object to be processed is obtained; wherein, the current duration corresponding to each equivalent current segment in the equivalent operating circuit curve is less than the fuse fusing duration of the target fuse at the same current magnitude, and the fuse fusing duration of the target fuse at each current magnitude is less than the wiring harness smoke emission duration of the wiring harness at the same current magnitude in the wiring harness smoke emission curve.

[0010] Secondly, embodiments of this application provide an intelligent automotive fuse selection device, wherein...

[0011] The acquisition unit is configured to acquire the operating current curve of the object to be processed in the working state;

[0012] The conversion unit is configured to adaptively convert the operating current curve according to the target application scenario of the intelligent vehicle to obtain the equivalent operating current curve of the object to be processed under the target application scenario; the equivalent operating current curve includes multiple equivalent current segments, each of which is obtained by fitting the operating current change trend within the corresponding operating time period.

[0013] The comparison unit is configured to compare the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse that matches the object to be processed; wherein, the current duration corresponding to each equivalent current segment in the equivalent operating circuit curve is less than the fuse fusing duration of the target fuse at the same current magnitude, and the fuse fusing duration of the target fuse at each current magnitude is less than the wiring harness smoke emission duration of the wiring harness at the same current magnitude in the wiring harness smoke emission curve.

[0014] Thirdly, embodiments of this application provide an electronic device, the electronic device comprising:

[0015] At least one processor, memory, and input / output unit;

[0016] The memory is used to store computer programs, and the processor is used to call the computer programs stored in the memory to execute the intelligent vehicle fuse selection method of the first aspect.

[0017] Fourthly, a computer-readable storage medium is provided, comprising instructions that, when executed on a computer, cause the computer to perform the intelligent vehicle fuse selection method of the first aspect.

[0018] The beneficial effects of this application are: it provides a method and related device for selecting fuses for intelligent vehicles. In this technical solution, a corresponding fuse is configured for a device to be processed in an intelligent vehicle, the device including electrical equipment and / or circuit components. First, the operating current curve of the device to be processed in its working state is obtained. Then, according to the target application scenario of the intelligent vehicle, the operating current curve is adaptively transformed to obtain the equivalent operating current curve of the device to be processed under the target application scenario. The equivalent operating current curve includes multiple equivalent current segments, each of which is obtained by fitting the operating current change trend within a corresponding working period. Finally, by comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse, the target fuse matching the device to be processed is obtained. In this application, the current duration corresponding to each equivalent current segment in the equivalent operating circuit curve is less than the fuse blowing time of the target fuse at the same current magnitude, and the fuse blowing time of the target fuse at each current magnitude is less than the wiring harness smoke emission time of the wiring harness at the same current magnitude in the wiring harness smoke emission curve. This application's technical solution, the intelligent vehicle fuse selection method, not only improves the safety and reliability of the circuit but also optimizes the fuse selection process to better adapt to the complex and ever-changing application needs of intelligent vehicles. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating a method for selecting intelligent vehicle fuses according to an embodiment of this application;

[0020] Figure 2 This is a schematic diagram of an operating current curve according to an embodiment of this application;

[0021] Figure 3 This is a schematic diagram of an equivalent operating current curve according to an embodiment of this application;

[0022] Figure 4 This is a schematic diagram illustrating the effect of a fuse fusing curve according to an embodiment of this application;

[0023] Figure 5 This is a schematic diagram of a wire harness smoke emission curve according to an embodiment of this application;

[0024] Figure 6 This is a schematic diagram illustrating the principle of a smart car fuse selection method according to an embodiment of this application;

[0025] Figure 7 This is a schematic diagram of the interface of an intelligent automotive fuse selection software tool according to an embodiment of this application;

[0026] Figure 8 This is a schematic diagram of the structure of an intelligent vehicle fuse selection method device according to an embodiment of this application;

[0027] Figure 9 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application;

[0028] Figure 10 This is a schematic diagram of the structure of a media device according to an embodiment of this application. Detailed Implementation

[0029] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0030] A fuse is an electrical component that protects wiring harnesses. Without a fuse in the circuit, an overload or short circuit can cause the current flowing through the wires to exceed their current-carrying capacity, leading to spontaneous combustion and a safety hazard. In circuit design, a fuse is connected in series on the power supply side. When the load experiences overcurrent or a short circuit occurs, the heat generated by the current reaches the melting point of the smaller cross-sectional area of ​​the fuse, causing it to melt and break, thus protecting the wires in that circuit. If the fuse blows later than the time the wires start to smoke, it can cause the entire vehicle to catch fire. If the fuse is too small, it may blow rapidly even when the load is operating normally, resulting in premature loss of vehicle functionality. Therefore, the appropriate matching of fuse and wiring harness specifications with the controlled load parameters is crucial.

[0031] The selection of fuse and wiring harness specifications is influenced by the type of electrical load. Automotive electrical loads can be categorized into continuous loads and intermittent loads. Continuous loads refer to loads that operate continuously and stably once a function is activated and before being deactivated, such as seat heating. Intermittent loads refer to loads that, once activated, only have current flowing briefly during operation, either when the hand is released or after a period of time when they automatically shut off. Examples include door lock motors, window motors, and power steering motors.

[0032] In related technologies, to ensure that fuses will not blow due to overload under any circumstances, a large safety factor is usually introduced when calculating fuse capacity, resulting in fuses generally having larger capacities. For intermittent loads, one approach is the temperature coefficient adjustment method. This method compensates for the effect of ambient temperature on the fuse's rated current, ensuring that the fuse effectively protects the circuit at different temperatures. This method first calculates a temperature coefficient K based on the ambient temperature T, using the formula 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 value of K decreases by 0.14%, thus adjusting the fuse's rated current. Then, the actual operating current Ioperating of the load is divided by the product of 0.50 and the K value to obtain the fuse's rated current Ifuse. In this way, the rated current of the fuse is ensured to adapt to load requirements at different temperatures, while also taking into account the impact of temperature on fuse performance.

[0033] Another approach is to directly use the circuit's maximum operating current and determine the fuse's rated capacity by dividing it by 80%. The core of this method is introducing a conservative safety factor of 80% to ensure the fuse will not overload at the circuit's maximum operating current. In this way, the fuse's rated capacity is amplified to 1.25 times the circuit's maximum operating current, ensuring effective circuit protection under any circumstances and preventing equipment damage or safety hazards caused by excessive current.

[0034] Another approach is to adjust the fuse capacity by comprehensively considering multiple factors 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 using a peak current factor, a load mounting area factor, and a fuse matching area factor. The peak current factor considers the characteristics of the load at peak current, while the load mounting area factor and fuse matching area factor consider the specific environmental conditions of the load and fuse, respectively. Through the comprehensive adjustment of these factors, the selected fuse capacity is ensured to meet the load requirements, effectively prevent overload, and take into account the influence of various environmental factors.

[0035] While the above three methods take into account factors such as ambient temperature and the maximum operating current of the circuit, they are all relatively conservative in their selection of fuse capacity. The fuses selected in this way are generally too large or inaccurate. In order to match the fuse specifications, the diameter of the protected wires also needs to be thickened accordingly, which increases the weight of the vehicle, reduces the utilization rate of vehicle space, and increases unnecessary waste of resources.

[0036] Therefore, there is an urgent need to design a technical solution to solve at least one of the above-mentioned technical problems.

[0037] To address at least one technical problem in the related technologies, embodiments of this application provide a method for selecting intelligent vehicle fuses and related devices.

[0038] The technical solution provided in this application firstly obtains the operating current curve of the object to be processed in its working state. Then, based on the target application scenario of the intelligent vehicle, the operating current curve is adaptively transformed to obtain the equivalent operating current curve of the object to be processed under the target application scenario. The equivalent operating current curve includes multiple equivalent current segments, each of which is obtained by fitting the operating current change trend within a corresponding working period. Finally, by comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse, the target fuse matching the object to be processed is obtained. Specifically, the current duration corresponding to each equivalent current segment in the equivalent operating current curve is less than the fuse fusing duration of the target fuse at the same current magnitude, and the fuse fusing duration of the target fuse at each current magnitude is less than the wiring harness smoke emission duration of the wiring harness at the same current magnitude in the wiring harness smoke emission curve.

[0039] The technical solution of this application, firstly, effectively improves circuit safety by precisely matching the operating current curve of the object under test with the fusing characteristics of the fuse. This ensures that the fuse blows promptly in case of abnormal current, preventing circuit overload and short circuits, thereby protecting the critical electrical equipment of the intelligent vehicle. Secondly, compared to traditional fuse selection methods, this application, through adaptive conversion and comparison of equivalent operating current curves, enables more accurate selection, optimizes fuse matching, and reduces unnecessary fuse replacement and maintenance costs. Thirdly, by ensuring that the fuse blowing time is less than the wiring harness smoke emission time, this application effectively prevents wiring harness overheating and smoke emission, reducing fire risk. This is particularly important for intelligent vehicles, as they often carry a large number of electronic devices and complex circuits, and wiring harness overheating can lead to serious safety accidents. Finally, intelligent vehicles have different current requirements and variation characteristics in different application scenarios. This application, through adaptive conversion of the operating current curve, can flexibly adapt to various application scenarios, improving the adaptability and accuracy of fuse selection. In summary, the fuse selection method for intelligent vehicles not only improves the safety and reliability of the circuit, but also optimizes the fuse selection process to better meet the complex and ever-changing application needs of intelligent vehicles.

[0040] The intelligent vehicle fuse selection method provided in this application embodiment can also be executed by an electronic device, such as a server, server cluster, or cloud server. This electronic device can also be a terminal device such as a mobile phone, computer, tablet computer, wearable device, or dedicated device (such as a dedicated terminal device with an intelligent vehicle fuse selection method system). These electronic devices can also carry the chips described in the above embodiments. Alternatively, these electronic devices can also install a service program for executing the intelligent vehicle fuse selection method.

[0041] Figure 1 This is a flowchart illustrating a method for selecting intelligent vehicle fuses, as provided in an embodiment of this application. Figure 1 As shown, the method includes the following steps:

[0042] 101. Obtain the operating current curve of the object to be processed in the working state;

[0043] 102. Based on the target application scenario of the intelligent vehicle, the operating current curve is adaptively transformed to obtain the equivalent operating current curve of the object to be processed under the target application scenario.

[0044] 103. By comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wire harness smoke emission curve of the candidate fuse, the target fuse that matches the object to be processed is obtained.

[0045] In this embodiment, the object to be processed in the intelligent vehicle fuse selection method can be various electrical devices and / or circuit components in the intelligent vehicle. For example, in the autonomous driving system of an intelligent vehicle, the operating current of the computing unit changes with the activation of functions and the complexity of road conditions. The operating current of the autonomous driving system will differ under different driving modes (such as city driving and highway driving). Different ambient temperatures also affect the operating current of certain loads. For instance, in the air conditioning system of an intelligent vehicle, the operating current of the air conditioning system changes with cooling / heating demands and ambient temperature. The operating current of the air conditioning system will vary significantly in different seasons (summer, winter) and under different climatic conditions (high temperature, low temperature). By accurately identifying and classifying the object to be processed, its operating current curve can be obtained more precisely. Then, through adaptive conversion and comparison of equivalent operating current curves, the most suitable fuse can be selected, thereby improving the safety and reliability of the intelligent vehicle circuit.

[0046] Specifically, the method first requires obtaining the operating current curve of the object to be processed (electrical equipment or circuit components) in the intelligent vehicle under its working state. This curve reflects the current change of the device during operation and is the basic data for selection. Then, based on the target application scenario of the intelligent vehicle, the obtained operating current curve is adaptively transformed. This transformation considers the current change characteristics of the device under different application scenarios, converting the actual operating current curve into an equivalent operating current curve. The equivalent operating current curve includes multiple equivalent current segments, each segment being fitted by the operating current change trend within a corresponding time period. Next, the transformed equivalent operating current curve is compared with the fusing curve of the candidate fuse and the smoke emission curve of the wiring harness. Specifically, the current duration corresponding to each equivalent current segment in the equivalent operating current curve needs to be less than the fusing time of the target fuse at the same current magnitude to ensure that the fuse can melt in time when the current is too high, protecting the circuit. The fuse blowing time for each current value in the target fuse must be less than the smoke emission time of the wiring harness for the same current value in the wiring harness smoke emission curve. This is to prevent the wiring harness from overheating and smoking before the fuse blows, which could lead to more serious circuit failures. This comparison allows for the selection of target fuses that match the circuit being processed.

[0047] In this embodiment of the 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 within the corresponding working time period.

[0048] Specifically, the equivalent circuit curve is a comprehensive descriptive tool for the operating state of a circuit. By integrating the current changes during different operating periods, it reveals the overall operating characteristics of the circuit. This curve provides a more intuitive understanding of the current variation trend within a complete operating cycle.

[0049] Because circuits may operate in different modes or be affected by different factors at different times, the equivalent circuit curve is divided into multiple equivalent current segments. For example, an electronic device may exhibit completely different current changes during the power-on startup phase, the stable operation phase, and the power-off phase. During power-on, processes such as capacitor charging and chip initialization may cause a momentary increase in current. During the stable operation phase, the current may remain at a relatively stable value. During the power-off phase, the current gradually decreases.

[0050] For each operating period, the equivalent current segment is determined by fitting the trend of the operating current change. Fitting is a mathematical method that typically uses known functional forms (such as linear, exponential, or polynomial functions) to approximate the actual current change curve. In practical applications, more complex circuits may involve the interaction of multiple electronic components. For example, in a circuit system containing a microcontroller, sensors, and multiple power devices, during the sensor data acquisition phase, the microcontroller may control some peripheral circuits to read the sensor data, at which point the current change may be quite complex. By analyzing the current data collected at multiple time points and then selecting a suitable function for fitting, a functional form of the current change trend for this operating period can be constructed, thereby determining an equivalent current segment.

[0051] In this embodiment, the duration of the current corresponding to each equivalent current segment in the equivalent operating circuit curve is less than the fuse blowing time of the target fuse at the same current magnitude. Specifically, the equivalent operating circuit curve is used to describe the current changes during normal circuit operation. Each equivalent current segment represents the current state of the circuit in a specific operating 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 a large equivalent current segment during the startup phase, which may only last for a few milliseconds to a few seconds. However, during the stable operating phase, the current is relatively small and stable, and the duration of this equivalent current segment may be much longer, such as several minutes or even several hours.

[0052] Understandably, the duration of the current corresponding to each equivalent current segment in the equivalent operating circuit curve is less than the fuse blowing time of the target fuse at the same current magnitude. This is to ensure that the fuse will not blow during normal circuit operation. If the current duration in a certain operating phase exceeds the fuse's blowing time at that current, the fuse will blow, causing the circuit to malfunction.

[0053] In this embodiment, the fuse's fusing time for each current magnitude in the target fuse is less than the wiring harness smoke emission time for the same current magnitude in the wiring harness smoke emission curve. The fusing time of the target fuse is determined by factors such as the fuse's material, size, and the magnitude of the current passing through it. Different current magnitudes correspond to different fusing times. Generally, the larger the current, the shorter the fusing time. For example, a fuse with a rated current of 10A may fuse within seconds when carrying a current of 20A, but may take several minutes to fuse when carrying a current of 12A. Fuse manufacturers typically provide time-current characteristic curves (TCC curves) to describe this relationship for users to reference when designing circuits.

[0054] A wire harness is a bundle of wires connecting electrical equipment, and it also generates heat under abnormal current conditions. When the current is too high, the temperature of the wire harness will gradually rise, and the insulation material may begin to smoke due to overheating. The duration of smoke generation in a wire harness is also related to the current magnitude; the higher the current, the faster the wire harness temperature rises, and the shorter the smoke generation time may be. A wire harness smoke generation curve is obtained through experiments and other methods to describe the time required for a wire harness to begin smoking under different current magnitudes. For example, for a specific specification of wire harness, at a current of 15A, it may take 10 minutes for it to begin smoking, while at a current of 30A, it may only take 2 minutes.

[0055] As an optional embodiment, obtaining the operating current curve of the object to be processed in its working state in step 101 can be achieved by first acquiring the test load current data of the object to be processed in its working state. That is, the current parameters of the object to be processed (electrical equipment or circuit components) in the intelligent vehicle in its working state are collected by a test device. These current parameters may include, but are not limited to, current values, voltage values, power consumption, etc. In addition, the display data of the test device can be acquired by an image acquisition device, which can be used to assist in understanding and verifying the current changes. Then, the operating current curve is constructed by using the load current value in the test load current data as the vertical axis value and the corresponding measurement time in the test load current data as the horizontal axis value. Through the above steps, an operating current curve can be constructed, which reflects the current changes of the object to be processed in its working state.

[0056] The test load data includes at least the current parameters collected by the test equipment and / or the test equipment display data acquired by the image acquisition equipment. This ensures the accuracy of the current data through direct measurement and verification by the image acquisition equipment. The graph provides clear visualization, facilitating the understanding and analysis of current changes. Real-time or timed acquisition of current data ensures its timeliness and completeness, which is particularly important for dynamically changing systems like intelligent vehicles. By recording the measurement time and corresponding current values, the graph provides traceability of current changes. The current value at any point in time can be found in the graph, facilitating subsequent analysis and verification. The test equipment display data acquired by the image acquisition equipment can serve as an auxiliary tool for analyzing current changes. For example, by comparing current parameters and image data, a more comprehensive understanding of the details and causes of current changes can be achieved. For example, the final constructed operating current curve can be as follows: Figure 2 The waveform diagram shown.

[0057] As an optional embodiment, in step 102, the operating current curve is adaptively transformed according to the target application scenario of the intelligent vehicle to obtain the equivalent operating current curve of the object to be processed under the target application scenario. This can be achieved through the following steps:

[0058] 301, The operating current curve is divided into multiple segments according to the measurement time to obtain multiple operating current segments;

[0059] 302. Using a preset conversion method that matches the target application scenario, multiple operating current segments are converted into multiple equivalent current segments to obtain the equivalent operating current curve.

[0060] Each operating current segment contains multiple load current values ​​corresponding to different measurement times, and the maximum difference between the load current values ​​in each operating current segment is less than a set threshold. Further optionally, the greater the variation in the difference between the load current values ​​in the operating current curve, the more operating current segments are obtained.

[0061] Specifically, firstly, in section 301, the operating current curve is divided into multiple operating current segments based on time. Each segment contains load current values ​​corresponding to multiple measurement times. To ensure that the current change trend of each segment is relatively consistent, a maximum difference threshold is set. When the maximum difference of current values ​​within a segment is less than this threshold, the segment is considered valid. If the difference exceeds the threshold, the segment needs to be further subdivided. Then, in section 302, based on the target application scenario of the intelligent vehicle (such as urban driving, highway driving, high-temperature environment, low-temperature environment, etc.), an appropriate preset conversion method is selected to convert each operating current segment into an equivalent current segment. These equivalent current segments constitute the equivalent operating current curve under the target application scenario. The appropriate conversion method is selected according to the different target application scenarios. For example, urban driving: considering frequent start-stop and low-speed driving, the operation frequency of the braking and starting systems needs to be increased. Highway driving: considering high-speed driving and long-term cruising, the braking frequency needs to be reduced. Rainy night environment: considering the impact of extreme temperatures on electrical equipment, the frequency and duration of wiper and light use need to be increased.

[0062] In one optional example, dynamic time segmentation can be used. For instance, assuming a maximum difference threshold of 0.3A, segment 1 could have a current interval of 0.5s between 1.2A and 1.5A; segment 2 could have a current interval of 5s between 1.5A and 1.8A; and segment 3 could have a current interval of 10s between 1.8A and 2.1A. Further, taking urban driving scenarios as an example, considering the frequent start-stop characteristics and the high frequency of braking system operations, the number of braking operations per driving cycle could be increased, such as 50 or more. Each operation would have a 10-second interval. This would increase the current accumulation time for the brake lights and braking system. This ensures that the selected insurance specifications guarantee safety.

[0063] Through the above steps, the equivalent operating current curve under the target application scenario (urban driving) is finally obtained. This curve reflects the current change of intelligent vehicles in the urban driving environment, providing an accurate reference for fuse selection.

[0064] Continuing the example above, suppose that the working current curve of a certain object to be processed, constructed in the previous step, can be as follows: Figure 2 The waveform diagram shown is obtained through steps 301 and 302. Figure 2 The diagram shows multiple operating current segments. Figure 2 In the working current curve of a certain object being processed once, as shown in the image, the current changes with time exhibiting different trends. Therefore, the curve is divided into multiple working current segments. Segments 1 to 5 show rapid current changes over time. The current changes are relatively concentrated in this interval, resulting in a relatively dense number of segments. Segments 6 and 7 show relatively gradual current changes over time. This interval is divided into two segments. Segment 8 shows almost constant current over time, meaning the current value remains constant. Since the current value is essentially constant, only one segment is needed for this part. Segments 9 and 10 show rapid current changes over time. Although these segments are short, the rapid current changes still lead to two segments in this part.

[0065] By employing the above segmentation strategy, the current variation trend within each operating current segment is ensured to be relatively consistent, thereby improving the accuracy of the equivalent operating current curve. This meticulous segmentation method helps to better understand and analyze the current variation of the object under operating conditions, providing a more accurate reference for the selection of fuses for intelligent vehicles.

[0066] As an optional embodiment, in step 302 above, a preset conversion method matching the target application scenario is used to convert multiple operating current segments into multiple equivalent current segments to obtain the equivalent operating current curve, which can be implemented as follows:

[0067] 401, Obtain the operation frequency coefficient and total number of operations corresponding to the target application scenario;

[0068] 402. For each operating current segment, the sum of the maximum and minimum load current values ​​in each operating current segment is divided by two, and then divided by the temperature coefficient K to obtain the equivalent current value corresponding to each operating current segment; the temperature coefficient K is expressed by the following formula: , where T is the ambient temperature of the working environment in which the object to be processed is located;

[0069] 403. Multiply 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.

[0070] 404. Based on the equivalent current value and the corresponding current duration of each operating current segment, construct the equivalent current segment corresponding to each operating current segment to obtain the equivalent operating current curve.

[0071] For example, the operation frequency coefficient represents the frequency of operations performed on the object to be processed in the target application scenario. For instance, the operation frequency coefficient may be higher in an urban driving scenario. The total number of operations represents the total number of operations performed in the target application scenario. For instance, the total number of operations may be higher in an urban driving scenario.

[0072] 402. Considering the frequency of operation in user scenarios and combining the heat dissipation characteristics of fuses, derive the current curve of the motor operating under a specific scenario at a certain ambient temperature. The equivalent current value for each operating current segment is given. The calculation formula is expressed as follows: The maximum value of the load current is: The minimum value of the load current is Temperature coefficient K.

[0073] 403, the duration of the equivalent current value corresponding to each operating current segment. The calculation formula is expressed as: The operation frequency coefficient is: The total number of operations is The measurement time for each operating current segment is: .

[0074] Further optionally, if the measurement time interval between two operations in each operating current segment is less than a set interval threshold, then the operation frequency coefficient f is set to f=1. In practical applications, the set interval threshold is selected based on the fuse heating characteristic parameters. Further optionally, if the measurement time interval between two operations in each operating current segment is greater than the fuse thermal recovery time, then the operation frequency coefficient f is set to: f=1 / m. Where m is the total number of operations. Further optionally, if the measurement time interval between two operations in each operating current segment is greater than the set interval threshold, and the measurement time interval between two operations in each operating current segment is less than the fuse thermal recovery time, then the operation frequency coefficient f is a dynamic value greater than 1 / m and less than 1. It is understood that the magnitude of the dynamic value is related to the measurement time interval; the shorter the measurement time interval, the closer the dynamic value is to 1. In practical applications, the equivalent numerical mapping of the dynamic value can be performed based on the current change rate.

[0075] 404. All operating current segments are calculated using the above method. The equivalent current values ​​and current durations are then connected in chronological order to obtain the equivalent operating current curve for the target application scenario (urban driving).

[0076] Through the above steps, the equivalent operating current curve is finally obtained. This curve reflects the current changes of intelligent vehicles in urban driving environments, providing an accurate reference for fuse selection.

[0077] For example, assume the equivalent current value of each operating current segment and the corresponding current duration Assuming m=5 times, with an interval of 10s, and taking f=0.8, the equivalent current curve of the motor under a specific scenario is obtained (see [reference]). Figure 3 As shown.

[0078] As an optional embodiment, in step 103, by comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse, the target fuse matching the object to be processed can be obtained, which can be achieved through the following steps:

[0079] 501. The equivalent operating current curve is compared with the fuse fusing curves of a variety of candidate fuses in advance, and candidate fuses whose fuse fusing time is greater than the current duration under the same current magnitude in each equivalent current segment are selected, and the specifications of the selected candidate fuses are used as the target fuse specifications.

[0080] 502. For each candidate fuse selected, the fuse fusing curve of each candidate fuse is compared with the smoke emission curve of the wire harness under various candidate wire diameters. The candidate wire diameters whose wire harness smoke emission time is greater than the fuse fusing time under the same current are selected as the target wire diameters.

[0081] 503. Based on the target fuse specifications and the target wire diameter, select a target fuse that matches the object to be processed.

[0082] For example, in step 501, based on the equivalent operating current curve obtained in the preceding steps, a point-to-point comparison is performed with the fuse fusing curves corresponding to each of the pre-selected and stored types of fuses, thereby automatically outputting the matching fuse specifications. For instance, the fuse fusing curves corresponding to each of the various types of fuses can be referenced... Figure 4 The multiple curves shown. Figure 4 In the diagram, the horizontal axis represents the current flowing through the fuse, and the vertical axis represents the duration of the current flowing through the fuse.

[0083] Optionally, the fusing curves of various fuse specifications and models, as well as the smoke emission curves of various wiring harness specifications and models, can be pre-acquired and stored (e.g., Figure 5 (As shown). These curves can be obtained directly through image processing technology, or they can be obtained by abstracting experimental data from fuses of various specifications and models. Furthermore, the current and duration corresponding to each point on the curve are abstracted into a database for comparison of load current, fuse fusing current, and wiring harness smoke curve current in equipment.

[0084] Understandably, the wiring harness smoke emission curve is used to compare with the curve of the selected fuse specification. It requires that the duration of the current at each point on the fuse is less than the duration of the corresponding current on the wiring harness smoke emission curve. This ensures that the fuse melts before the fuse harness smokes, thus protecting the conductor.

[0085] In step 501, after comparing the equivalent operating current curve with the fuse fusing curves of a variety of pre-set candidate fuses one by one, candidate fuses whose fuse fusing time is greater than the current duration under the same current magnitude in each equivalent current segment can be selected, and the specifications of the selected candidate fuses are used as the target fuse specifications.

[0086] For example, based on the functional characteristics of the selected load, the system inputs the motor operating frequency coefficient f, the total number of operations m, the ambient temperature during motor operation, voltage parameters, etc., according to the functional scenario. Based on these inputs, in step 501, the system automatically compares each equivalent current segment and its current duration in the equivalent operating current curve with the current value and corresponding fusing time of each point on the fuse fusing curve stored in the database. Through this comparison, it filters out cases where the fusing time of the fuse is greater than the current duration at the same current magnitude in each equivalent current segment, thereby ensuring that any point on the equivalent operating current curve of the load is inside the selected fuse fusing curve (e.g., ...). Figure 6 (As shown). On the vertical axis, take any point on the load corresponding to the equivalent operating current value. Extend the horizontal line to the right; the intersection point with the load curve is a, and the intersection point with the fuse blowing curve is b. The corresponding times are t1 and t2, respectively. By ensuring that t2 is greater than t1 corresponding to the load current, the selected fuse will not blow prematurely when the load is operating normally, affecting normal user operation. Finally, select the smallest fuse specification that best matches the equivalent current curve to ensure effective protection of the load under various operating conditions.

[0087] After selecting the fuse specification in step 501, the next step is to select the wire diameter. In step 502, for each candidate fuse, the fuse fusing curve of each candidate fuse is compared with the smoke emission curves of the wiring harness under various candidate wire diameters. The candidate wire diameters whose wiring harness smoke emission time is greater than the fuse fusing time under the same current are selected as the target wire diameters.

[0088] Continuing from the previous example, in Figure 6 In this method, by extending a horizontal line from any point on the vertical axis to the right, this horizontal line will intersect the curves on the right in sequence. The intersection of the horizontal line (representing the working load current value at point a) with the fuse blowing curve is denoted as b, and the intersection with the smoke emission curve is denoted as c. The corresponding times on the horizontal axis for these two intersection points are t2 and t3, respectively. By comparing t2 and t3, the wire harness specification is selected where the time corresponding to the smoke emission curve is greater than the time corresponding to the fuse blowing curve; that is, t3 corresponding to the current at any point is greater than t2. Smoke emission curves for different wire diameters of the wire harness are matched according to the fuse blowing curve, ensuring that every point of the smoke emission curve for the selected wire diameter is outside the blowing curve, thereby preventing the wire harness from emitting smoke before the fuse blows and effectively protecting the wire harness from fire. This method also ensures that the selected wire diameter is closest to the actual requirements, reducing the weight and cost of the wire harness.

[0089] In practical applications, in addition to ensuring that every point on the selected wire diameter smoke curve is outside the fuse curve to guarantee that the fuse blows before the wire harness smokes, the wire harness specifications must also be the closest to the fuse's fuse curve across the entire ambient temperature range.

[0090] As an optional embodiment, after step 103, if there are multiple target fuses, the target fuse with the smallest difference between its fusing curve and its equivalent operating current curve is selected as the final target fuse used for the object to be processed. This selection method ensures that the selected fuse can provide effective protection under various operating conditions while avoiding unnecessary over-design, thereby reducing costs and complexity.

[0091] For example, assuming the target application scenario is the air conditioning system of a smart car, the equivalent operating current curve has been generated. After filtering out the fuses that meet the criteria, assume the following three fuses are available: Fuse A has a rated current of 15A, and the fusing curve shows a fusing time of 20 seconds at 15A; Fuse B has a rated current of 20A, and the fusing curve shows a fusing time of 30 seconds at 20A; Fuse C has a rated current of 10A, and the fusing curve shows a fusing time of 15 seconds at 10A.

[0092] Assume that the current duration of the generated equivalent operating current curve at 15A is 18 seconds.

[0093] Fuse A: Difference = 20 seconds (fusing time) - 18 seconds (current duration) = 2 seconds

[0094] Fuse B: Difference = 30 seconds (fusing time) - 18 seconds (current duration) = 12 seconds

[0095] Fuse C: Difference = 15 seconds (fusing time) - 18 seconds (current duration) = -3 seconds (unusable because the fusing time is less than the current duration).

[0096] Based on the above calculations, fuse A has the smallest difference (2 seconds), while fuse B has a larger difference than fuse A. Fuse C has a negative difference, indicating that its fusing time is less than the current duration, thus failing to meet the requirements. Therefore, fuse A is selected as the final target fuse.

[0097] By using this selection method, fuse A can provide sufficient protection when the air conditioning system is operating, while also ensuring that it will not blow prematurely under normal operating conditions, thus ensuring the stability and safety of the system. At the same time, this selection method also avoids over-design and additional costs, achieving optimal fuse selection.

[0098] As an optional embodiment, after step 103, a vehicle workload model corresponding to the intelligent vehicle can be constructed based on the electrical equipment and / or circuit components in the intelligent vehicle. Then, the working state of the vehicle workload model under different application scenarios is simulated to obtain the predicted load of the vehicle workload model in each time period. Next, based on the predicted load, a first predicted operating current curve of the object to be processed in each time period and a second predicted operating current curve of the electrical equipment and / or circuit components associated with the object to be processed are constructed. Finally, based on the first predicted operating current curve and the second predicted operating current curve, the target fuse is optimized.

[0099] For example, assume the target application scenario is the entire vehicle electrical system of an intelligent vehicle, including the engine control unit (ECU), lighting system, and air conditioning system. First, a vehicle workload model is constructed based on these electrical devices and circuit components. When constructing the vehicle workload model, the electrical loads of the ECU, lighting system, and air conditioning system are considered. A typical urban driving scenario is simulated, including a start-up period (engine start), a driving period (normal driving), and a parking period (parking with interior lighting and air conditioning on), yielding the predicted load: a total load of 50A during the start-up period (ECU: 50A), a total load of 35A during the driving period (ECU: 5A, lighting system: 15A, air conditioning system: 15A), and a total load of 50A during the parking period (ECU: 5A, lighting system: 15A, air conditioning system: 30A). In the first predicted operating current curve, the ECU operates at 50A, 5A, and 5A in each period; in the second predicted operating current curve, the lighting system operates at 0A, 15A, and 15A, and the air conditioning system operates at 0A, 15A, and 30A. Optimize the target fuse based on the actual usage stage and operating duration. The current values ​​mentioned above are for illustrative purposes only and are not limited to specific applications.

[0100] Through the above steps, based on the vehicle's workload model and predicted operating current curve, the target fuse is optimized to ensure that the fuse can provide the best protection and performance matching under different application scenarios and time periods, while reducing the risk and cost of the vehicle's electrical system.

[0101] As an optional embodiment, see Figure 7In addition to the tool interface, this application also proposes a software implementation for the above-mentioned functional steps. Specifically, by clicking the image scan button, the tool will automatically acquire current curve data and extract the current data. After clicking the image save button, the system will store the scanned current curve data in the built-in database for later use. Clicking the fuse database button will display the stored fuse fusing curves and all specification data for user selection and comparison. Clicking the wire harness smoke curve database button will list all stored wire harness smoke curves and their specification data for user reference. By clicking the wire harness standard selection button, the user can select different wire harness standard data, such as German standard, Japanese standard, etc., and the system will calculate the wire harness diameter according to the selected standard. By clicking the current curve segmentation setting button, the user can segment the scanned load current curve for more refined current analysis. By clicking the load usage frequency coefficient button, the user can set the frequency coefficient used to calculate the equivalent current and time, ensuring that the calculation results are more consistent with actual usage. By clicking the load continuous usage count button, the user can set the number of times the equivalent current and time are calculated, thereby accurately simulating the working state of the load. After completing the above parameter settings, click the fuse selection calculation button. The system will output fuse specifications suitable for different voltages and temperatures based on the input load data and environmental conditions. Click the wire harness diameter calculation button. The system will calculate and output the corresponding wire harness diameter specifications based on the selected fuse specifications, ensuring that the wire harness does not smoke before the fuse blows.

[0102] In this embodiment, a fuse is configured for a device to be processed in a smart car, the device including electrical equipment and / or circuit components. First, the operating current curve of the device to be processed in its operating state is obtained. Then, based on the target application scenario of the smart car, the operating current curve is adaptively transformed to obtain the equivalent operating current curve of the device to be processed under the target application scenario. The equivalent operating current curve includes multiple equivalent current segments, each of which is obtained by fitting the operating current change trend within a corresponding operating period. Finally, the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse are compared to obtain the target fuse matching the device to be processed. Specifically, the current duration corresponding to each equivalent current segment in the equivalent operating current curve is less than the fuse fusing duration of the target fuse at the same current magnitude, and the fuse fusing duration of the target fuse at each current magnitude is less than the wiring harness smoke emission duration of the wiring harness at the same current magnitude. The embodiments of this application not only improve the safety and reliability of the circuit, but also optimize the fuse selection process to better adapt to the complex and ever-changing application needs of intelligent vehicles.

[0103] In another embodiment of this application, a smart car fuse selection device is also provided, see [link to relevant documentation]. Figure 8 The device comprises the following units:

[0104] The acquisition unit is configured to acquire the operating current curve of the object to be processed in the working state;

[0105] The conversion unit is configured to adaptively convert the operating current curve according to the target application scenario of the intelligent vehicle to obtain the equivalent operating current curve of the object to be processed under the target application scenario; the equivalent operating current curve includes multiple equivalent current segments, each of which is obtained by fitting the operating current change trend within the corresponding operating time period.

[0106] The comparison unit is configured to compare the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse that matches the object to be processed; wherein, the current duration corresponding to each equivalent current segment in the equivalent operating circuit curve is less than the fuse fusing duration of the target fuse at the same current magnitude, and the fuse fusing duration of the target fuse at each current magnitude is less than the wiring harness smoke emission duration of the wiring harness at the same current magnitude in the wiring harness smoke emission curve.

[0107] Further optionally, the acquisition unit acquires the operating current curve of the object to be processed in the working state, and is configured as follows:

[0108] Acquire the test load current data of the object to be processed in its working state; the test load data includes at least the current parameters collected by the test equipment and / or the test equipment display data acquired by the image acquisition device;

[0109] The operating current curve is constructed by using the load current value in the test load current data as the vertical axis value and the corresponding measurement time in the test load current data as the horizontal axis value.

[0110] Further optionally, the conversion unit adaptively converts the operating current curve according to the target application scenario of the intelligent vehicle to obtain the equivalent operating current curve of the object to be processed under the target application scenario, and is configured as follows:

[0111] The operating current curve is divided into multiple segments according to the measurement time to obtain multiple operating current segments; wherein, each operating current segment contains multiple load current values ​​corresponding to multiple measurement times, and the maximum difference between the load current values ​​in each operating current segment is less than a set threshold; the greater the change in the difference between the load current values ​​in the operating current curve, the more operating current segments are obtained.

[0112] By adopting a preset conversion method that matches the target application scenario, multiple operating current segments are converted into multiple equivalent current segments to obtain the equivalent operating current curve.

[0113] Further optionally, the conversion unit, using a preset conversion method matching the target application scenario, converts multiple operating current segments into multiple equivalent current segments to obtain the equivalent operating current curve, and is configured as follows:

[0114] Obtain the operation frequency coefficient and total number of operations corresponding to the target application scenario;

[0115] For each operating current segment, the sum of the maximum and minimum load current values ​​in each segment is divided by two, and then divided by the temperature coefficient K to obtain the equivalent current value corresponding to each operating current segment; the temperature coefficient K is expressed by the following formula: , where T is the ambient temperature of the working environment in which the object to be processed is located;

[0116] Multiply 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.

[0117] Based on the equivalent current value and the corresponding current duration of each operating current segment, an equivalent current segment is constructed for each operating current segment, and the equivalent operating current curve is obtained.

[0118] Further optionally, if the measurement time interval between two operations in each operating current segment is less than a set interval threshold, wherein the set interval threshold is selected based on the fuse heating characteristic parameters, then the operation frequency coefficient f is set to f=1; or

[0119] If the measurement time interval between two operations in each operating current segment is greater than the fuse thermal recovery time, then the operation frequency coefficient f is set as: f = 1 / m; where m is the total number of operations; or

[0120] If the measurement time interval between two operations in each operating current segment is greater than a set interval threshold, which is selected based on the fuse heating characteristic parameters, and the measurement time interval between two operations in each operating current segment is less than the fuse thermal recovery time, then the operation frequency coefficient f is a dynamic value greater than 1 / m and less than 1; the magnitude of the dynamic value is related to the measurement time interval, and the shorter the measurement time interval, the closer the dynamic value is to 1.

[0121] Further optionally, the comparison unit compares the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse matching the object to be processed, which is configured as follows:

[0122] The equivalent operating current curve is compared with the fuse fusing curves of a variety of candidate fuses in advance. Candidate fuses whose fuse fusing time is greater than the current duration under the same current magnitude in each equivalent current segment are selected, and the specifications of the selected candidate fuses are used as the target fuse specifications.

[0123] For each candidate fuse selected, the fuse fusing curve of each candidate fuse is compared with the smoke emission curve of the wire harness under various candidate wire diameters. The candidate wire diameters whose wire harness smoke emission time is greater than the fuse fusing time under the same current are selected as the target wire diameters.

[0124] Based on the target fuse specifications and the target wire diameter, a target fuse matching the object to be processed is selected.

[0125] Further optionally, it also includes a secondary comparison unit, configured to: after the comparison unit compares the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse matching the object to be processed, if there are multiple target fuses, then select the target fuse with the smallest difference between the fuse fusing curve and the equivalent operating current curve as the final target fuse used by the object to be processed.

[0126] Further optionally, it also includes an optimization unit, configured to: after the comparison unit compares the equivalent operating current curve, the fuse fusing 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, construct a vehicle workload model corresponding to the intelligent vehicle based on the electrical equipment and / or circuit components in the intelligent vehicle;

[0127] The working state of the vehicle workload model under different application scenarios is simulated to obtain the predicted load of the vehicle workload model in each time period;

[0128] Based on the predicted load conditions, a first predicted operating current curve of the object to be processed under each time period is constructed, as well as a second predicted operating current curve of the electrical equipment and / or circuit elements associated with the object to be processed.

[0129] The target fuse is optimized based on the first predicted operating current curve and the second predicted operating current curve.

[0130] The system can implement various steps in the above method embodiments, which will not be elaborated here.

[0131] In this embodiment, an intelligent vehicle 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 ever-changing application needs of intelligent vehicles.

[0132] Please see Figure 9 , Figure 9 A schematic diagram illustrating an embodiment of the electronic device provided in this application. For example... Figure 9 As shown in the figure, this 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, it performs the following steps: obtaining the operating current curve of the object to be processed in its working state; adaptively transforming the operating current curve according to the target application scenario of the intelligent vehicle to obtain the equivalent operating current curve of the object to be processed in the target application scenario; the equivalent operating current curve includes multiple equivalent current components. Each equivalent current segment is obtained by fitting the trend of the operating current change within the corresponding working period. By comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse, the target fuse matching the object to be processed is obtained. Among them, the current duration corresponding to each equivalent current segment in the equivalent operating circuit curve is less than the fuse fusing duration of the target fuse under the same current magnitude, and the fuse fusing duration of the target fuse under each current magnitude is less than the wiring harness smoke emission duration of the wiring harness under the same current magnitude in the wiring harness smoke emission curve.

[0133] Please see Figure 10 , Figure 10 This is a schematic diagram illustrating an embodiment of a computer-readable storage medium provided in this application. For example... Figure 10As 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, it performs the following steps: obtaining the operating current curve of the object to be processed in its working state; adaptively transforming the operating current curve according to the target application scenario of the intelligent vehicle to obtain the equivalent operating current curve of the object to be processed in the target application scenario; the equivalent operating current curve includes multiple equivalent current segments, each equivalent current segment being fitted by the operating current change trend within the corresponding working time period; comparing the equivalent operating current curve, the fuse blowing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse matching the object to be processed; wherein, the current duration corresponding to each equivalent current segment in the equivalent operating current 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 smoke emission duration of the wiring harness at the same current magnitude in the wiring harness smoke emission curve.

[0134] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0135] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0136] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0137] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for selecting intelligent automotive fuses, characterized in that, The method is used to configure corresponding fuses for objects to be processed in a smart car, the objects to be processed including electrical equipment and / or circuit components in the smart car; the method includes: Obtain the operating current curve of the object to be processed in its working state; Based on the target application scenario of intelligent vehicles, the operating current curve is adaptively transformed to obtain the equivalent operating current curve of the object to be processed under the target application scenario. This includes: dividing the operating current curve into multiple segments according to the measurement time to obtain multiple operating current segments; wherein, each operating current segment contains multiple load current values ​​corresponding to multiple measurement times, and the maximum difference between the load current values ​​in each operating current segment is less than a set threshold; the greater the change in the difference between the load current values ​​in the operating current curve, the more operating current segments are obtained; using a preset transformation method matched with the target application scenario, the multiple operating current segments are converted into multiple equivalent current segments to obtain the equivalent operating current curve, including: obtaining the operation frequency coefficient and the total number of operations corresponding to the target application scenario; for each operating current segment, the sum of the maximum and minimum load current values ​​in each operating current segment is divided by two, and then divided by the temperature coefficient K to obtain the equivalent current value corresponding to each operating current segment; the temperature coefficient K is expressed by the following formula: Where T is the ambient temperature of the working environment of the object to be processed; the measurement time corresponding to each working current segment is multiplied 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 and the corresponding current duration of each working current segment, an equivalent current segment is constructed to obtain the equivalent working current curve; the equivalent working current curve includes multiple equivalent current segments, and each equivalent current segment is obtained by fitting the working current change trend within the corresponding working time period; By comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse, a target fuse matching the object to be processed is obtained; wherein, the current duration corresponding to each equivalent current segment in the equivalent operating current curve is less than the fuse fusing duration of the target fuse at the same current magnitude, and the fuse fusing duration of the target fuse at each current magnitude is less than the wiring harness smoke emission duration of the wiring harness at the same current magnitude in the wiring harness smoke emission curve.

2. The intelligent vehicle fuse selection method according to claim 1, characterized in that, The step of obtaining the operating current curve of the object to be processed in its working state includes: Acquire the test load current data of the object to be processed in its working state; the test load current data includes at least the current parameters collected by the test equipment and / or the test equipment display data acquired by the image acquisition device; The operating current curve is constructed by using the load current value in the test load current data as the vertical axis value and the corresponding measurement time in the test load current data as the horizontal axis value.

3. The intelligent vehicle fuse selection method according to claim 1, characterized in that, If the measurement time interval between two operations in each operating current segment is less than a set interval threshold, wherein the set interval threshold is selected based on the fuse heating characteristic parameters, then the operation frequency coefficient f is set to f=1; or If the measurement time interval between two operations in each operating current segment is greater than the fuse thermal recovery time, then the operation frequency coefficient f is set as: f = 1 / m; where m is the total number of operations; or If the measurement time interval between two operations in each operating current segment is greater than a set interval threshold, which is selected based on the fuse heating characteristic parameters, and the measurement time interval between two operations in each operating current segment is less than the fuse thermal recovery time, then the operation frequency coefficient f is a dynamic value greater than 1 / m and less than 1; the magnitude of the dynamic value is related to the measurement time interval, and the shorter the measurement time interval, the closer the dynamic value is to 1.

4. The intelligent vehicle fuse selection method according to claim 1, characterized in that, The process of comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse matching the object to be processed includes: The equivalent operating current curve is compared with the fuse fusing curves of a variety of candidate fuses in advance. Candidate fuses whose fuse fusing time is greater than the current duration under the same current magnitude in each equivalent current segment are selected, and the specifications of the selected candidate fuses are used as the target fuse specifications. For each candidate fuse selected, the fuse fusing curve of each candidate fuse is compared with the smoke emission curve of the wire harness under various candidate wire diameters. The candidate wire diameters whose wire harness smoke emission time is greater than the fuse fusing time under the same current are selected as the target wire diameters. Based on the target fuse specifications and the target wire diameter, a target fuse matching the object to be processed is selected.

5. The intelligent vehicle fuse selection method according to claim 1, characterized in that, After comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse that matches the object to be processed, the process further includes: If there are multiple target fuses, the target fuse with the smallest difference between the fuse fusing curve and the equivalent operating current curve is selected as the final target fuse used for the object to be processed.

6. The intelligent vehicle fuse selection method according to claim 1, characterized in that, After comparing the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse that matches the object to be processed, the process further includes: Based on the electrical equipment and / or circuit components in intelligent vehicles, construct a vehicle workload model corresponding to the intelligent vehicle. The working state of the vehicle workload model under different application scenarios is simulated to obtain the predicted load of the vehicle workload model in each time period; Based on the predicted load conditions, a first predicted operating current curve of the object to be processed under each time period is constructed, as well as a second predicted operating current curve of the electrical equipment and / or circuit elements 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.

7. An intelligent automotive fuse selection device, characterized in that, The device is used to configure corresponding fuses for objects to be processed in a smart car, the objects to be processed including electrical equipment and / or circuit components in the smart car; the device includes the following units, wherein, The acquisition unit is configured to acquire the operating current curve of the object to be processed in the working state; The conversion unit is configured to adaptively convert the operating current curve according to the target application scenario of the intelligent vehicle to obtain the equivalent operating current curve of the object to be processed under the target application scenario; the equivalent operating current curve includes multiple equivalent current segments, each of which is obtained by fitting the operating current change trend within the corresponding working time period. The conversion unit is specifically configured to divide the operating current curve into multiple segments according to the measurement time, resulting in multiple operating current segments; wherein each operating current segment contains multiple load current values ​​corresponding to multiple measurement times, and the maximum difference between the load current values ​​in each operating current segment is less than a set threshold; the greater the change in the difference between the load current values ​​in the operating current curve, the more operating current segments are obtained; using a preset conversion method matching the target application scenario, the multiple operating current segments are converted into multiple equivalent current segments to obtain the equivalent operating current curve; The conversion unit, employing a preset conversion method matched to the target application scenario, converts multiple operating current segments into multiple equivalent current segments to obtain the equivalent operating current curve. Specifically, it is configured to: acquire the operation frequency coefficient and total number of operations corresponding to the target application scenario; for each operating current segment, divide the sum of the maximum and minimum load current values ​​in each segment by two, and then divide by the temperature coefficient K to obtain the equivalent current value corresponding to each operating current segment; the temperature coefficient K is expressed by the following formula: Where T is the ambient temperature of the working environment where the object to be processed is located; the measurement time duration corresponding to each working current segment is multiplied 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 and the corresponding current duration of each working current segment, the equivalent current segment corresponding to each working current segment is constructed to obtain the equivalent working current curve; The comparison unit is configured to compare the equivalent operating current curve, the fuse fusing curve of the candidate fuse, and the wiring harness smoke emission curve of the candidate fuse to obtain the target fuse that matches the object to be processed; wherein, the current duration corresponding to each equivalent current segment in the equivalent operating current curve is less than the fuse fusing duration of the target fuse at the same current magnitude, and the fuse fusing duration of the target fuse at each current magnitude is less than the wiring harness smoke emission duration of the wiring harness at the same current magnitude in the wiring harness smoke emission curve.

8. An electronic device, characterized in that, include: Memory, used to store computer software programs; A processor is configured to read and execute the computer software program, thereby implementing the intelligent vehicle fuse selection method according to any one of claims 1-6.

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