Statistical method, device and equipment for low-voltage electrical load of automobile and storage medium

Abstract

The invention discloses an automobile low-voltage electrical load statistical method, device and equipment and a storage medium, and belongs to the field of automobile electrical system design. The method comprises the following steps: acquiring rated current, load type, load characteristic and function type of each electrical load; dynamically adjusting an attenuation factor and a frequency coefficient according to a load type, a load characteristic, a function type and an environment working condition; and according to the attenuation factor, the frequency coefficient, the rated current and a preset formula, calculating the actual current of each electrical load. The invention also provides an automatic calculation tool which automatically matches the attenuation factor and the frequency coefficient by inputting the electrical load parameter and outputs the actual current. According to the method, a short-term load and a long-term load are distinguished, different load characteristics of a bulb, a constant current, a motor and the like and differences between a safety function and a comfort function are considered, and dynamic adjustment is performed according to environmental working conditions such as seasons, day and night, weather and the like, so that the accuracy and efficiency of automobile low-voltage electrical load statistics are improved.

Description

Technical Field

[0001] The present application relates to the field of automotive electrical technology, and in particular to a statistical method, device, equipment, and computer-readable storage medium for low-voltage electrical loads in an automobile. Background Art

[0002] With the increasing electrification of vehicles, the number and complexity of loads in a vehicle's low-voltage electrical system have increased significantly. Accurately counting and predicting low-voltage electrical loads is crucial for rationally allocating power system capacity, ensuring electrical system stability, and reducing vehicle costs. Currently, statistical methods for calculating low-voltage electrical loads in vehicles primarily rely on the rated current and frequency of use of electrical equipment, but this approach has certain limitations.

[0003] In the prior art, automotive electrical load statistics are typically calculated using the frequency coefficient method. For example, CN119513454A discloses a method for analyzing and calculating vehicle electrical load balance. This method uses the frequency coefficient of electrical equipment to calculate the vehicle's electrical load based on the vehicle's operating conditions, season, and operating environment, and estimates the rated current of the selected generator. While this method considers the frequency coefficient, it fails to fully integrate multiple factors, such as load type and load characteristics, for a comprehensive analysis, resulting in often conservative statistical results.

[0004] CN112977154B proposes an energy management method based on driver behavior prediction. By collecting and analyzing historical driver behavior data, a prediction model is established to predict driver behavior under different operating conditions, thereby deriving potential changes in electrical load power and corresponding probabilities. While this method considers the impact of driver behavior on electrical loads, it does not differentiate the characteristics of different load types, particularly short-term and long-term loads.

[0005] CN103692982B discloses an automotive electrical load control device and method. By embedding an electrical load control module within the vehicle body controller's main control module, the device records the operating status and switching characteristics of the vehicle's electrical components, controlling their switching and load distribution based on the vehicle's electrical load. This method focuses on load control and distribution, rather than precise load statistics.

[0006] In other areas, CN120031327A proposes a method for aircraft electrical load statistics and power capacity analysis. This method uses a differential method to analyze changes in electrical load power, combines load coupling effects with power factor synergy, and optimizes power capacity requirements through a multi-objective optimization algorithm. While innovative in load statistics, this method targets aircraft electrical systems, which have significantly different operating environments and load characteristics than automotive low-voltage electrical systems.

[0007] CN113454470A discloses a load monitoring method and device. This method acquires and processes voltage and current data from electrical equipment, compares the measured electrical parameters with pre-stored electrical parameters, and determines whether they match. This method is primarily used to monitor abnormal conditions in electrical equipment, rather than to accurately measure electrical loads.

[0008] The existing technology has the following deficiencies: First, the existing electrical load statistical method mainly relies on the frequency coefficient for calculation, and does not fully consider the combined influence of the attenuation factor and multi-dimensional factors such as load type, load characteristics, and functional type, resulting in inaccurate statistical results. Second, the existing method adopts a unified frequency coefficient value method for short-term loads and long-term loads, ignoring the differences between different loads in actual usage scenarios. Third, the attenuation factor is not sufficiently correlated with the environmental conditions, and the attenuation factor cannot be dynamically adjusted according to different load types, load characteristics, and environmental conditions. Fourth, most of the existing statistical methods use manual calculations, which are inefficient and prone to errors, and lack automated calculation tools. Finally, due to the lack of accuracy of the statistical method, the generator or DCDC capacity is often overdesigned, increasing the cost of the entire vehicle.

[0009] Therefore, there is an urgent need for a statistical method for automotive low-voltage electrical loads that can comprehensively consider load type, load characteristics, functional type and environmental conditions, dynamically adjust the attenuation factor and frequency coefficient, and improve statistical efficiency and accuracy through automated calculation tools. Summary of the Invention

[0010] The present application provides a statistical method, device / system, equipment and computer-readable storage medium for low-voltage electrical loads in automobiles, which can solve xx technical problems existing in the prior art.

[0011] In a first aspect, an embodiment of the present application provides a method for counting low-voltage electrical loads of an automobile, characterized in that the method for counting low-voltage electrical loads of an automobile comprises: Collect the rated current, load type, load characteristics and function type of each electrical load; dynamically adjust the attenuation factor according to the load type, load characteristics, function type and environmental conditions and frequency coefficient; The various The actual current of the electrical load.

[0012] In conjunction with the first aspect, in one embodiment, the load type includes a short-term load and a long-term load, wherein dynamically adjusting the attenuation factor and the frequency coefficient according to the load type includes: The attenuation factor of the short-term load is the first default value, and the frequency coefficient is the second default value; The attenuation factor of long-term load is dynamically adjusted according to the load characteristics and environmental conditions, and the frequency coefficient is dynamically adjusted according to the environmental conditions.

[0013] In conjunction with the first aspect, in one embodiment, the load characteristics include a light bulb, a constant current, and a motor, wherein dynamically adjusting the attenuation factor and the frequency coefficient according to the load characteristics includes: The load characteristic is that the attenuation factor of the motor is adjusted upward according to the environmental resistance in winter or summer conditions, and is adjusted downward according to the environmental resistance in spring or autumn conditions; The load characteristic is that the attenuation factor of the light bulb is the first default value, but the frequency coefficient is adjusted according to the environmental conditions; The attenuation factor of the load characteristic of constant current is a first default value, and the frequency coefficient is a second default value.

[0014] In conjunction with the first aspect, in one embodiment, the function type is divided into a safety function and a comfort function, and dynamically adjusting the attenuation factor and the frequency coefficient according to the function type includes: The frequency coefficient and attenuation factor of the safety function cannot be adjusted; The frequency coefficient and attenuation factor of the comfort function can be adjusted dynamically.

[0015] In conjunction with the first aspect, in one embodiment, the environmental conditions include season, day and night, and weather, and dynamically adjusting the attenuation factor and the frequency coefficient according to the environmental conditions includes: determining the operating mode and usage frequency of the electrical load according to the environmental working conditions; The attenuation factor and frequency coefficient are dynamically adjusted according to the working mode and usage frequency.

[0016] In combination with the first aspect, in one embodiment, the method further includes constructing an automated calculation tool, automatically matching the attenuation factor and frequency coefficient by inputting the rated current, load type, load characteristics and functional type of the electrical load into the automated calculation tool, and outputting the actual current of each of the electrical loads.

[0017] In conjunction with the first aspect, in one embodiment, the automated calculation tool is an Excel spreadsheet program, including the following functional modules: Input module, used to input rated current, load type, load characteristics and function type of electrical equipment; A matching module, used to automatically match the attenuation factor and the frequency coefficient according to preset rules; A calculation module, used to perform iterative calculations of preset formulas; Output module, used to generate electrical load statistics and selection recommendations under various working conditions.

[0018] In a second aspect, an embodiment of the present application provides a device for counting low-voltage electrical loads of an automobile, characterized in that the device for counting low-voltage electrical loads of an automobile comprises: Acquisition module, used to collect the rated current, load type, load characteristics and function of electrical loads type; adjustment module, used to dynamically adjust the load type, load characteristics, function type and environmental conditions according to the load type, load characteristics, function type and environmental conditions Dynamic adjustment of attenuation factor and frequency coefficient; A statistical module is used to calculate the attenuation factor, the frequency coefficient, the rated current and the preset formula The actual current of each of the electrical loads is calculated.

[0019] In a third aspect, an embodiment of the present application provides a statistical device for low-voltage electrical loads of an automobile, wherein the statistical device for low-voltage electrical loads of an automobile comprises a processor, a memory, and a statistical program for low-voltage electrical loads of an automobile stored in the memory and executable by the processor. When the statistical program for low-voltage electrical loads of an automobile is executed by the processor, the steps of the above-mentioned statistical method for low-voltage electrical loads of an automobile are implemented.

[0020] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a statistical program for the low-voltage electrical load of a vehicle is stored. When the statistical program for the low-voltage electrical load of a vehicle is executed by a processor, the steps of the statistical method for the low-voltage electrical load of a vehicle as described above are implemented.

[0021] The beneficial effects of the technical solutions provided in the embodiments of the present application include: By introducing a dynamic adjustment mechanism for the attenuation factor and frequency coefficient, combined with load type, load characteristics, functional type, and environmental conditions, the electrical load statistics are refined, making the load statistics more closely aligned with actual usage needs. This improves design flexibility by automatically adjusting the attenuation factor to account for the characteristic differences between different types of loads, such as the high-resistance scenarios of motor loads in different seasons, and dynamically adjusting the comfort load coefficient based on vehicle model positioning. Furthermore, the use of automated calculation tools reduces manual calculation hours, avoids redundant design due to human error, and improves work efficiency. Compared to existing technologies, this invention not only considers the frequency coefficient, but also comprehensively considers the influence of the attenuation factor and load type, characteristics, and function, making the electrical load statistics more accurate and reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of an embodiment of a statistical method for counting low-voltage electrical loads of an automobile according to the present application; Figure 2 This is a functional module diagram of an embodiment of a counting device for low-voltage electrical loads in an automobile according to the present application; Figure 3 This is a schematic diagram of the hardware structure of the statistical equipment for low-voltage electrical loads in a vehicle involved in the embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0024] First, some technical terms in this application are explained to facilitate those skilled in the art to understand this application.

[0025] In a first aspect, an embodiment of the present application provides a statistical method for low-voltage electrical loads in an automobile.

[0026] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the statistical method for automobile low-voltage electrical loads of this application. Figure 1 As shown in Figure 2, the statistical methods for automobile low-voltage electrical loads include: Step S10: collecting the rated current, load type, load characteristics and function type of each electrical load; For example, firstly, it is necessary to collect comprehensive data of each electrical load on the car. Load refers to all electrical equipment on the car that uses low-voltage power supply, such as lighting system, air conditioning system, Audio system, electric seats, electric windows, wipers, etc. For each electrical load, the following The following data: Rated current: This refers to the design current value of the electrical load under normal operating conditions, measured in amperes (A). This data can be obtained from the vehicle electrical system design documents or the technical specifications of each electrical load.

[0027] For example, the headlights might be rated at 5A, the power windows might be rated at 8A, the audio system might be rated at 3A, and so on.

[0028] Load type: Based on the working time characteristics of electrical loads, they are divided into short-term loads and long-term loads.

[0029] Short-term loads refer to electrical loads that work intermittently for a short period of time, such as power windows and electric seat adjusters; long-term loads refer to electrical loads that work continuously for a long time, such as lighting systems and air-conditioning systems during driving.

[0030] Load characteristics: According to the electrical characteristics of electrical loads, they are divided into bulb type, constant current type and motor type.

[0031] Light bulb loads include various lighting fixtures; constant current loads include control units, sensors and other electronic devices; motor loads include fan motors, wiper motors, electric window motors, etc.

[0032] Function type: According to the functional importance of electrical loads, they are divided into safety functions and comfort functions.

[0033] Safety functions include brake lights, turn signals, wipers and other loads that are directly related to driving safety; comfort functions include air conditioning, audio, seat heating and other loads that improve riding comfort.

[0034] Data collection can be done by referring to the automotive electrical system design documents, electrical load technical specifications, actual The collected data are organized into tables for easy subsequent processing and analysis.

[0035] Step S20: Dynamically adjust the load type, load characteristics, function type and environmental conditions. integral attenuation factor and frequency coefficient; For example, attenuation factor and frequency coefficient are two key parameters used to convert the rated The current is converted into actual current.

[0036] Attenuation factor: It indicates the ratio of the current of the electrical load under actual working conditions to the rated current, reflecting the The attenuation factor usually ranges from 0 to 1. A larger value indicates that the actual operating current is closer to the rated current.

[0037] Frequency coefficient: Indicates the frequency of use of electrical loads in a specific period of time, reflecting the probability of use of the load. The frequency coefficient usually ranges from 0 to 1, with a larger value indicating a higher frequency of use.

[0038] Specifically, the load type includes short-term load and long-term load, wherein, according to the load The dynamic adjustment of attenuation factor and frequency coefficient includes: the attenuation factor of short-term load is the first default value, the frequency The attenuation factor of long-term load is dynamically adjusted according to load characteristics and environmental conditions. The frequency coefficient is dynamically adjusted according to the environmental conditions.

[0039] For example, for short-term loads, due to their short working time and strong intermittent nature, the attenuation factor is set to The first default value is 1, and the frequency factor is set to the second default value of 0.1. This means that the actual current of the short-term load during the statistical period is 10% of the rated current.

[0040] For long-term loads, the attenuation factor needs to be dynamically adjusted according to the load characteristics and environmental conditions. The speed coefficient is dynamically adjusted according to the environmental conditions. The specific adjustment method is as follows: Specifically, the load characteristics include a light bulb, a constant current and a motor, wherein the dynamic adjustment of the attenuation factor and the frequency coefficient according to the load characteristics includes: the attenuation factor of the motor with the load characteristic is increased according to the environmental resistance under winter or summer working conditions, and is decreased according to the environmental resistance under spring or autumn working conditions; the attenuation factor of the light bulb with the load characteristic is the first default value, but the frequency coefficient is adjusted according to the environmental working conditions; the attenuation factor of the constant current with the load characteristic is the first default value, and the frequency coefficient is the second default value.

[0041] For example, for motor loads, the attenuation factor will be affected by environmental resistance. In winter or summer operating conditions, due to extreme temperatures, environmental resistance increases, and the motor needs to overcome greater resistance to work properly, so the attenuation factor needs to be adjusted upward. For example, in winter, due to low temperatures causing increased viscosity of the lubricating oil, the motor's starting and running resistance increases, and the attenuation factor is increased from the base value of 0.2 to 0.5; in summer, due to high temperatures causing reduced air density, the fan motor requires a higher speed to achieve the same cooling effect, and the attenuation factor may be increased from the base value of 0.7 to 0.8. In spring or autumn operating conditions, the ambient temperature is moderate and the resistance is small, so the attenuation factor can be reduced from the base value of 0.7 to 0.65.

[0042] For light bulb loads, the attenuation factor remains at the default value of 1, but the frequency coefficient needs to be adjusted based on environmental conditions. For example, at night or in rainy or snowy weather with low visibility, the frequency coefficient may be increased from the base value of 0.4 to 0.8 due to the significant increase in lighting usage. On the other hand, during clear daytime hours, when lighting usage is low, the frequency coefficient may be decreased from the base value of 0.4 to 0.2.

[0043] For constant current loads, since their operating characteristics are stable and current fluctuation is small, the attenuation factor is maintained at the first default value of 1, and the frequency coefficient is maintained at the second default value of 0.1.

[0044] Specifically, the function types are divided into safety functions and comfort functions. Dynamically adjusting the attenuation factor and frequency coefficient according to the function type includes: the frequency coefficient and attenuation factor of the function type being the safety function cannot be adjusted; the frequency coefficient and attenuation factor of the function type being the comfort function can be dynamically adjusted.

[0045] For example, for safety-related electrical loads, since they are critical to driving safety, their frequency coefficients and attenuation factors are not allowed to be adjusted to ensure that the current demands of these loads are fully accounted for in the statistical process. For example, the attenuation factor of the brake light is fixed at 0.9 and the frequency coefficient is fixed at 0.5, and they will not be adjusted due to changes in environmental conditions.

[0046] For electrical loads used in comfort functions, their frequency coefficient and attenuation factor can be dynamically adjusted based on actual conditions. For example, in hot summer weather, the frequency coefficient of an air conditioning system might be increased from a base value of 0.5 to 0.8, and the attenuation factor from a base value of 0.7 to 0.9. In mild spring and autumn weather, the frequency coefficient of an air conditioning system might be decreased from a base value of 0.5 to 0.3, and the attenuation factor from a base value of 0.7 to 0.5.

[0047] Specifically, the environmental conditions include seasons, day and night, and weather. Dynamically adjusting the attenuation factor and frequency coefficient according to the environmental conditions includes: determining the working mode and usage frequency of the electrical load according to the environmental conditions; and dynamically adjusting the attenuation factor and frequency coefficient according to the working mode and usage frequency.

[0048] For example, environmental conditions include seasons (spring, summer, autumn, winter), day and night (daytime, nighttime), and weather (clear, cloudy, rainy, snowy, etc.). Different environmental conditions will affect the working mode and usage frequency of the electrical load.

[0049] First, determine the operating mode and frequency of electrical loads based on environmental conditions. For example, in winter, heating devices like heaters and seat heaters are used more frequently, while air conditioning and cooling are used less frequently. At night, lighting usage increases significantly. In rainy and snowy weather, windshield wipers and defoggers are used more frequently.

[0050] Then, based on the determined operating mode and frequency of use, the attenuation factor and frequency coefficient are dynamically adjusted. For example, in winter, the frequency coefficient of the heating system might be increased from a base value of 0.5 to 0.8, and the attenuation factor from a base value of 0.7 to 0.9. At night, the frequency coefficient of the headlights might be increased from 0.2 during the day to 0.9. In rainy and snowy weather, the frequency coefficient of the wipers might be increased from 0.1 on sunny days to 0.8.

[0051] Through the above method, the attenuation factor and frequency coefficient can be dynamically adjusted according to the load type, load characteristics, functional type and environmental conditions, so that the statistical results of the electrical load can more accurately reflect the actual power consumption.

[0052] Step S30: Statistical analysis based on the attenuation factor, the frequency coefficient, the rated current and the preset formula Output the actual current of each electrical load.

[0053] For example, based on the attenuation factor, frequency coefficient, and rated current obtained in the previous steps, the actual current of each electrical load is calculated using a preset formula. The preset formula is as follows: Actual current = rated current × attenuation factor × frequency coefficient This formula takes into account the rated current, actual working intensity (reflected by the attenuation factor) and usage frequency (reflected by the frequency coefficient) of the electrical load, and can more accurately estimate the actual current of the electrical load under specific working conditions.

[0054] For example, for a headlight with a rated current of 5 A, if its attenuation factor is 0.8 and its frequency coefficient is 0.9 under nighttime operating conditions, its actual current is: 5 A × 0.8 × 0.9 = 3.6 A. This means that when calculating the electrical load, the 3.6 A current contributed by the headlight needs to be considered.

[0055] The above formula is used to calculate the actual current of all electrical loads. Then, the actual current of all electrical loads is added together to obtain the total current demand of the vehicle's low-voltage electrical system. This total current demand is an important basis for the design of the vehicle's power supply system (such as the generator and battery).

[0056] In practical applications, the actual current of the electrical load can be calculated for different environmental conditions (such as summer daytime, summer nighttime, winter daytime, winter nighttime, etc.) to understand the changes in current demand of the automotive electrical system under different operating conditions.

[0057] Step S40: constructing an automated calculation tool, automatically matching the attenuation factor and frequency coefficient by inputting the rated current, load type, load characteristics and function type of the electrical load into the automated calculation tool, and outputting the actual current of each of the electrical loads.

[0058] Specifically, the automated calculation tool is an Excel spreadsheet program, which includes the following functional modules: an input module for entering the rated current, load type, load characteristics and function type of the electrical equipment; a matching module for automatically matching the attenuation factor and frequency coefficient according to preset rules; a calculation module for performing iterative calculations of preset formulas; and an output module for generating electrical load statistics and selection recommendations under various working conditions.

[0059] For example, the input module is used to enter the rated current, load type, load characteristics, and function type of an electrical device. Users can enter this data in designated areas of the table, with each row representing an electrical load. For example, a user might enter a "headlight" with a rated current of 5A, a load type of "long-term load," a load characteristic of "bulb," and a function type of "safety function."

[0060] The matching module automatically matches attenuation factors and frequency coefficients based on preset rules. This module includes a series of logical judgments and search functions that automatically match appropriate attenuation factors and frequency coefficients based on the input load type, load characteristics, function type, and user-selected environmental conditions. For example, if the user selects the "winter night" environmental condition, the system automatically matches an attenuation factor of 0.8 and a frequency coefficient of 0.9 for safety-related loads such as headlight bulbs.

[0061] Calculation module: This module performs iterative calculations based on pre-set formulas. Using the aforementioned formula (actual current = rated current × attenuation factor × frequency coefficient), this module calculates the actual current for each electrical load and automatically aggregates the actual currents of all loads to obtain the total current demand.

[0062] Output Module: This module generates statistical tables of electrical loads under various operating conditions and provides selection recommendations. This module displays calculation results in tables and charts, including the actual current of each electrical load and a comparison of total current requirements under different operating conditions. Furthermore, based on the calculation results, the system provides selection recommendations for key components such as generator and battery capacity.

[0063] The process of using this automated calculation tool is as follows: Enter the basic information of all electrical loads in the input area (rated current, load type, load characteristics, function type); Select the environmental conditions to be analyzed (such as summer daytime, summer nighttime, winter daytime, winter nighttime, etc.); The system automatically matches the appropriate attenuation factor and frequency coefficient and calculates the actual current of each electrical load; The system generates electrical load statistics and charts and provides selection recommendations; Users can adjust input parameters or environmental conditions as needed, and the system will update the calculation results in real time.

[0064] By using this automated calculation tool, automotive designers can quickly and accurately calculate low-voltage electrical loads, providing a reliable basis for power system design and avoiding electrical system failures due to insufficient power capacity or cost waste and weight increase due to excessive power capacity.

[0065] In this embodiment, the rated current, load type, load characteristics, and functional type of each electrical load are collected; the attenuation factor and frequency coefficient are dynamically adjusted according to the load type, load characteristics, functional type, and environmental conditions; and the actual current of each electrical load is calculated based on the attenuation factor, the frequency coefficient, the rated current, and a preset formula. This solves the technical problem in related technologies where the inaccurate statistical methods often lead to over-design of the generator or DCDC capacity, thereby increasing the cost of the entire vehicle. This embodiment provides a method that not only considers the frequency coefficient, but also comprehensively considers the influence of the attenuation factor and the load type, characteristics, and function, making the statistical results of the electrical load more accurate and reliable.

[0066] In a second aspect, an embodiment of the present application further provides a statistical device for low-voltage electrical loads in an automobile.

[0067] In one embodiment, referring to Figure 2 , Figure 2 This is a functional module diagram of an embodiment of a statistical device for low-voltage electrical loads of a vehicle according to the present application. Figure 2 As shown, the statistical device for automobile low-voltage electrical loads includes: Acquisition module 01, used to collect the rated current, load type, load characteristics and functions of the electrical load type; Adjustment module 02 is used to adjust the load type, load characteristics, function type and environmental conditions according to the load type, load characteristics, function type and environmental conditions. Dynamically adjust the attenuation factor and frequency coefficient; Statistics module 03, for calculating the attenuation factor, the frequency coefficient, the rated current and the preset The actual current of each electrical load is calculated using the formula.

[0068] Furthermore, in one embodiment, the adjustment module 02 is further configured to: load and long-term load, wherein dynamically adjusting the attenuation factor and frequency coefficient according to the load type includes: The attenuation factor of the short-term load is the first default value, and the frequency coefficient is the second default value; The attenuation factor of long-term load is dynamically adjusted according to the load characteristics and environmental conditions, and the frequency coefficient is dynamically adjusted according to the environmental conditions.

[0069] Furthermore, in one embodiment, the adjustment module 02 is further configured to: the load characteristics include a light bulb, a constant current, and a motor, wherein dynamically adjusting the attenuation factor and the frequency coefficient according to the load characteristics includes: The load characteristic is that the attenuation factor of the motor is adjusted upward according to the environmental resistance in winter or summer conditions, and is adjusted downward according to the environmental resistance in spring or autumn conditions; The load characteristic is that the attenuation factor of the light bulb is the first default value, but the frequency coefficient is adjusted according to the environmental conditions; The attenuation factor of the load characteristic of constant current is a first default value, and the frequency coefficient is a second default value.

[0070] Furthermore, in one embodiment, the adjustment module 02 is further configured to: the function type is divided into a safety function and a comfort function, and dynamically adjusting the attenuation factor and the frequency coefficient according to the function type includes: The frequency coefficient and attenuation factor of the safety function cannot be adjusted; The frequency coefficient and attenuation factor of the comfort function can be adjusted dynamically.

[0071] Furthermore, in one embodiment, the adjustment module 02 is further configured to: the environmental conditions include season, day and night, and weather, and dynamically adjusting the attenuation factor and the frequency coefficient according to the environmental conditions includes: determining the operating mode and usage frequency of the electrical load according to the environmental working conditions; The attenuation factor and frequency coefficient are dynamically adjusted according to the working mode and usage frequency.

[0072] Furthermore, in one embodiment, the statistical module 03 is also used to: construct an automated calculation tool, automatically match the attenuation factor and frequency coefficient by inputting the rated current, load type, load characteristics and function type of the electrical load into the automated calculation tool, and output the actual current of each of the electrical loads.

[0073] Furthermore, in one embodiment, the statistical module 03 is further configured to: the automated calculation tool is an Excel spreadsheet program, including the following functional modules: Input module, used to input rated current, load type, load characteristics and function type of electrical equipment; A matching module, used to automatically match the attenuation factor and the frequency coefficient according to preset rules; A calculation module, used to perform iterative calculations of preset formulas; Output module, used to generate electrical load statistics and selection recommendations under various working conditions.

[0074] Among them, the functional implementation of each module in the above-mentioned counting device for automobile low-voltage electrical loads corresponds to each step in the above-mentioned counting method embodiment for automobile low-voltage electrical loads, and their functions and implementation processes are no longer repeated here.

[0075] In a third aspect, an embodiment of the present application provides a statistical device for low-voltage electrical loads in an automobile. The statistical device for low-voltage electrical loads in an automobile may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0076] Reference Figure 3 , Figure 3 Schematic diagram of the hardware structure of the counting device for low-voltage electrical loads of a vehicle involved in the embodiment of the present application. In the embodiment of the present application, the counting device for low-voltage electrical loads of a vehicle may include a processor, a memory, a communication interface, and a communication bus.

[0077] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0078] Communication interfaces include input / output (I / O), physical, and logical interfaces, which interconnect components within the vehicle's low-voltage electrical load counting device and connect it to other devices (such as other computing devices or user devices). Physical interfaces can include Ethernet, fiber optic, and ATM interfaces; user devices can include displays and keyboards.

[0079] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0080] The processor may be a general-purpose processor that can invoke a statistical program for measuring the low-voltage electrical load of an automobile stored in a memory and execute the statistical method for measuring the low-voltage electrical load of an automobile provided in the embodiments of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the statistical program for measuring the low-voltage electrical load of an automobile is invoked can be described in detail in the various embodiments of the statistical method for measuring the low-voltage electrical load of an automobile provided in the present application and will not be further elaborated upon here.

[0081] Those skilled in the art will understand that Figure 3The hardware structure shown in the figure does not constitute a limitation to the present application and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0082] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0083] The computer-readable storage medium of the present application stores a statistical program for automobile low-voltage electrical loads, wherein when the statistical program for automobile low-voltage electrical loads is executed by a processor, the steps of the statistical method for automobile low-voltage electrical loads as described above are implemented.

[0084] Among them, the method implemented when the statistical program of the automobile low-voltage electrical load is executed can refer to the various embodiments of the statistical method of the automobile low-voltage electrical load of the present application, and will not be repeated here.

[0085] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0086] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0087] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0088] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0089] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0090] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of this application.

[0091] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A statistical method for low-voltage electrical loads of automobiles, characterized in that: The statistical method for the automobile low-voltage electrical load includes: Collect the rated current, load type, load characteristics and function type of each electrical load; Dynamically adjust the attenuation factor according to the load type, load characteristics, function type and environmental conditions and frequency coefficient; The various The actual current of the electrical load.

2. The statistical method for automobile low-voltage electrical load according to claim 1, characterized in that: described The load type includes short-term load and long-term load, wherein dynamically adjusting the attenuation factor and the frequency coefficient according to the load type includes: The attenuation factor of the short-term load is the first default value, and the frequency coefficient is the second default value; The attenuation factor of long-term load is dynamically adjusted according to the load characteristics and environmental conditions, and the frequency coefficient is dynamically adjusted according to the environmental conditions.

3. The statistical method for automobile low-voltage electrical load according to claim 1, characterized in that: The load characteristics include a light bulb, a constant current, and a motor, wherein dynamically adjusting the attenuation factor and the frequency coefficient according to the load characteristics includes: The load characteristic is that the attenuation factor of the motor is adjusted upward according to the environmental resistance in winter or summer conditions, and is adjusted downward according to the environmental resistance in spring or autumn conditions; The load characteristic is that the attenuation factor of the light bulb is the first default value, but the frequency coefficient is adjusted according to the environmental conditions; The attenuation factor of the load characteristic of constant current is a first default value, and the frequency coefficient is a second default value.

4. The statistical method for automobile low-voltage electrical load according to claim 1, characterized in that: The function types are divided into safety functions and comfort functions. Dynamically adjusting the attenuation factor and frequency coefficient according to the function types includes: The frequency coefficient and attenuation factor of the safety function cannot be adjusted; The frequency coefficient and attenuation factor of the comfort function can be adjusted dynamically.

5. The statistical method for automobile low-voltage electrical load according to claim 1, characterized in that: The environmental conditions include season, day and night, and weather. Dynamically adjusting the attenuation factor and frequency coefficient according to the environmental conditions includes: determining the operating mode and usage frequency of the electrical load according to the environmental working conditions; The attenuation factor and frequency coefficient are dynamically adjusted according to the working mode and usage frequency.

6. The statistical method for automobile low-voltage electrical load according to claim 1, characterized in that: described The method also includes constructing an automated calculation tool, automatically matching the attenuation factor and frequency coefficient by inputting the rated current, load type, load characteristics and function type of the electrical load into the automated calculation tool, and outputting the actual current of each of the electrical loads.

7. The statistical method for automobile low-voltage electrical load according to claim 6, characterized in that: The automated calculation tool is an Excel spreadsheet program, which includes the following functional modules: Input module, used to input rated current, load type, load characteristics and function type of electrical equipment; A matching module, used to automatically match the attenuation factor and the frequency coefficient according to preset rules; A calculation module, used to perform iterative calculations of preset formulas; Output module, used to generate electrical load statistics and selection recommendations under various working conditions.

8. A statistical device for low-voltage electrical loads in a car, characterized in that: The statistical device for the automobile low-voltage electrical load comprises: Acquisition module, used to collect the rated current, load type, load characteristics and function of electrical loads type; Adjustment module, used to promote the load type, load characteristics, function type and environmental conditions Dynamic adjustment of attenuation factor and frequency coefficient; A statistical module is used to calculate the attenuation factor, the frequency coefficient, the rated current and the preset formula The actual current of each of the electrical loads is calculated.

9. A statistical device for low-voltage electrical loads in a car, characterized in that: The statistical device for the low-voltage electrical load of an automobile includes a processor, a memory, and a statistical program for the low-voltage electrical load of an automobile stored in the memory and executable by the processor. When the statistical program for the low-voltage electrical load of an automobile is executed by the processor, the steps of the statistical method for the low-voltage electrical load of an automobile as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a statistical program for automobile low-voltage electrical loads, wherein when the statistical program for automobile low-voltage electrical loads is executed by a processor, the steps of the statistical method for automobile low-voltage electrical loads according to any one of claims 1 to 7 are implemented.

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