Vehicle power consumption detection method, device, equipment and medium

Abstract

The invention discloses a vehicle power consumption detection method, device and equipment and a medium. The method comprises the steps of obtaining current operation data of a vehicle; the current operation data comprises at least one of the following items: vehicle load, driving speed, road condition information, driving behavior information and battery state information; according to the adjustment standard value corresponding to the current operation data, determining weight adjustment data of the current operation data, the weight adjustment data including a weight adjustment symbol and a weight adjustment value; according to the weight adjustment data of the current operation data, adjusting a current initial weight corresponding to the current operation data to obtain a current update weight corresponding to the current operation data; and calculating the current power consumption of the vehicle according to the current operation data and the current update weight. The embodiment of the invention can reduce the calculation error of vehicle power consumption detection.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle control, and particularly to a method, device, equipment and medium for detecting vehicle power consumption. Background Art

[0002] The power consumption of a pure electric vehicle directly affects the vehicle's cruising range. Therefore, it is necessary to detect the power consumption of a pure electric vehicle.

[0003] Currently, the prior art calculates power consumption by using a static weight for operating data such as vehicle load and road conditions.

[0004] However, there are significant differences in the influence weights of power consumption in different scenarios. For example, in scenarios such as high load, long-term operation, and different road conditions of a pure electric vehicle of the truck type, the static weight calculation method does not adjust the weight in real time and cannot accurately reflect the actual power consumption. Calculating the vehicle power consumption in the above manner has the defect of large calculation errors. Summary of the Invention

[0005] The present invention provides a method, device, equipment and medium for detecting vehicle power consumption. Embodiments of the present invention can reduce the calculation error of vehicle power consumption detection.

[0006] In a first aspect, an embodiment of the present invention provides a method for detecting vehicle power consumption, the method comprising:

[0007] Obtaining current operating data of the vehicle; the current operating data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information, and battery state information;

[0008] Determining weight adjustment data for the current operating data according to an adjustment standard value corresponding to the current operating data, the weight adjustment data including: a weight adjustment symbol and a weight adjustment value;

[0009] Adjusting a current initial weight corresponding to the current operating data according to the weight adjustment data of the current operating data to obtain a current updated weight corresponding to the current operating data;

[0010] Calculating the current power consumption of the vehicle according to the current operating data and the current updated weight.

[0011] In a second aspect, an embodiment of the present invention further provides a device for detecting vehicle power consumption, the device comprising:

[0012] A data acquisition module, configured to acquire current operating data of the vehicle; the current operating data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information, and battery state information;

[0013] A weight determination module, configured to determine weight adjustment data for the current operating data according to an adjustment standard value corresponding to the current operating data, where the weight adjustment data includes: a weight adjustment symbol and a weight adjustment value;

[0014] A weight update module, configured to adjust a current initial weight corresponding to the current operating data according to the weight adjustment data of the current operating data, so as to obtain a current updated weight corresponding to the current operating data;

[0015] A power consumption calculation module, configured to calculate a current power consumption of the vehicle according to the current operating data and the current updated weight.

[0016] Thirdly, an embodiment of the present invention further provides a vehicle power consumption detection device, where the vehicle power consumption detection device includes:

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the vehicle power consumption detection method according to any embodiment of the present invention.

[0020] Fourthly, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the vehicle power consumption detection method according to any embodiment of the present invention when executed by a processor.

[0021] The technical solution of the embodiment of the present invention provides basic data support for the calculation of real-time power consumption by obtaining the current operating data including vehicle load, driving speed, road condition information, driving behavior information, and battery state information; determining weight adjustment data according to an adjustment standard value corresponding to the current operating data; adjusting the current initial weight to obtain a current updated weight; calculating the current power consumption of the vehicle by combining the current operating data and the updated weight; by dynamically adjusting the corresponding weight adjustment data in real time according to the current operating data of the vehicle, the power consumption of the vehicle can be calculated more accurately; the problem of large calculation errors in calculating the vehicle power consumption by using static weights is solved; the calculation error of vehicle power consumption detection can be reduced.

[0022] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Description of the Drawings

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0024] Figure 1 It is a flowchart of a method for detecting vehicle power consumption provided by an embodiment of the present invention;

[0025] Figure 2 It is a flowchart of a method for detecting vehicle power consumption provided by an embodiment of the present invention;

[0026] Figure 3 It is a schematic structural diagram of a device for detecting vehicle power consumption provided by an embodiment of the present invention;

[0027] Figure 4 It is a schematic structural diagram of a device for detecting vehicle power consumption provided by an embodiment of the present invention. Detailed implementation manners

[0028] In order to enable those skilled in the art to better understand the solutions of 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 in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above accompanying drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0030] In the technical solutions of the embodiments of the present invention, the acquisition, storage, and application of the current operation data, historical operation data, etc. involved all comply with the provisions of relevant laws and regulations and do not violate public order and good customs.

[0031] Figure 1The flowchart of a vehicle power consumption detection method provided by an embodiment of the present invention. The embodiment of the present invention is applicable to the situation of measuring the power consumption of a pure electric vehicle in motion. This method can be executed by a vehicle power consumption detection device, which can be implemented in the form of hardware and / or software.

[0032] See Figure 1 The vehicle power consumption detection method shown below includes:

[0033] S101. Obtain the current operation data of the vehicle; the current operation data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information, and battery state information.

[0034] Among them, the current operation data may refer to the value reflecting the operation state of the vehicle in the current time period. The current operation data is the basic data for calculating the vehicle power consumption. The operation state of the vehicle changes with time and different environmental conditions, so the current operation data is dynamically changing, and the current operation data of the vehicle will be continuously updated according to the actual situation. The current operation data may be the operation data of the vehicle from the previous hour to the current moment.

[0035] Among them, the vehicle load may refer to the total weight of the vehicle itself and the objects carried. In a pure electric vehicle, the heavier the load, the greater the traction demand of the vehicle, and the motor needs to consume more electric energy to maintain the same speed or accelerate. Therefore, the vehicle load will directly affect the calculation of power consumption. For example, if the vehicle load when the vehicle is carrying goods is 10 tons, compared with 2 tons when the vehicle is unloaded, its power consumption will increase, and additional energy is required to overcome the inertia of the heavy load and ensure the continuous driving of the vehicle.

[0036] Among them, the driving speed may refer to the average driving speed of the vehicle in the current time period. When the driving speed is relatively high, the motor needs to release more electric energy to maintain the high speed, and at this time, the power consumption of the vehicle is relatively high. For example, when the driving speed of the vehicle is 100 km / h, compared with the driving speed of the vehicle being 50 km / h, the power consumption of the vehicle increases significantly. Among them, the driving speed also includes: speed standard deviation; among them, the speed standard deviation may refer to a statistic of the degree of dispersion of the vehicle instantaneous speed value relative to the average speed in this time period. The speed standard deviation is used to represent the fluctuation size of the speed data and can be an index to measure the driving smoothness and the degree of violent fluctuation.

[0037] Among them, the road condition information can refer to the road conditions where the vehicle is located during the current driving process. The road condition information can include: road surface gradient, road surface flatness, whether there is traffic congestion, road surface type, etc.; among them, the road surface type includes: gravel road surface, asphalt road surface, dirt road surface, etc. By measuring the road condition information, the influence degree of road conditions on the power consumption of the vehicle can be accurately quantified. The road condition information will directly affect the power consumption of the vehicle. For example, on an uphill section, the vehicle needs to overcome gravity and consume more power; when going downhill, the vehicle may reduce power consumption by recovering braking energy; during traffic congestion, it will cause the vehicle to frequently accelerate and decelerate, resulting in more power consumption; when the vehicle is driving on an asphalt road surface, compared with when the vehicle is driving on a gravel road surface, the power consumption of the vehicle will increase significantly.

[0038] Among them, the driving behavior information can refer to the operating behavior of the driver on the vehicle during the driving process. The driving behavior information can include: acceleration and deceleration control of the vehicle, overspeed duration, etc. By measuring the numerical value of the driving behavior, the influence degree of the driving behavior on the power consumption of the vehicle can be accurately quantified. For example, if the driver frequently accelerates and brakes, such driving behavior will consume more power.

[0039] Among them, the battery state information can refer to the working state of the battery. The battery state information can include: remaining battery power and temperature value. The working state of the battery will directly affect the power consumption of the vehicle. Under the same driving conditions, the power consumption when the working state of the battery is good is less than that when the working state of the battery is poor. For example, the lower the remaining battery power, the worse the working state of the battery; when the temperature value of the battery is too high or too low, the working state of the battery is worse; on the contrary, the higher the remaining battery power, the better the working state of the battery; when the temperature value of the battery remains appropriate, the working state of the battery is better.

[0040] S102. Determine the weight adjustment data of the current operation data according to the adjustment standard value corresponding to the current operation data. The weight adjustment data includes: weight adjustment symbol and weight adjustment value.

[0041] Among them, the adjustment standard value can refer to the reference value corresponding to each parameter item in the operation data; the adjustment standard value represents the reference value for the balance of operation performance and power consumption, which can be obtained through multiple experiments. Among them, the parameter items include: vehicle load, driving speed, road condition information, driving behavior information or battery state information. The adjustment standard value can be used to compare with each parameter in the current operation data to determine the adjustment direction and amplitude of the weight. Each parameter item in the operation data corresponds to a different adjustment standard value. For example, the adjustment standard value corresponding to the vehicle load is 2 tons, and the adjustment standard value corresponding to the driving speed is 60 km / h.

[0042] Among them, the weight adjustment data may refer to the values and adjustment directions for adjusting the weights of various influencing factors. By comparing the current operating data with the adjustment standard values, the deviation degree can be calculated, and based on this, the weight adjustment values can be determined. The weights of various influencing factors can be adjusted dynamically, so that the power consumption calculation can reflect the actual situation of the current driving condition in real time. For example, assuming that the driving speed in the current operating data is 120 km / h and the corresponding adjustment standard value is 60 km / h, the weight adjustment data for the vehicle speed may be +0.3, indicating that the adjusted weight value is 0.3 and the adjustment direction is to increase; assuming that the driving speed in the current operating data is 20 km / h and the corresponding adjustment standard value is 60 km / h, the weight adjustment data for the vehicle speed may be -0.3, indicating that the adjusted weight value is 0.3 and the adjustment direction is to decrease.

[0043] Among them, the weight adjustment symbol may refer to the symbol indicating the weight adjustment direction. Based on the magnitude relationship of the comparison results between the parameter items in the current operating data and the corresponding adjustment standard values, the weight adjustment direction can be determined.

[0044] Among them, the weight adjustment value may refer to the specific value for adjusting the weights of various influencing factors. By calculating the differences between the parameter items of the current operating data and the corresponding adjustment standard values, and according to the corresponding ratio, the weight adjustment value can be obtained.

[0045] S103. According to the weight adjustment data of the current operating data, adjust the current initial weight corresponding to the current operating data to obtain the current updated weight corresponding to the current operating data.

[0046] Among them, the initial weight may represent the influence degree of the vehicle's operating data on the power consumption under the adjustment standard value. When dynamic weight correction is not performed, the initial weight can be directly multiplied by the corresponding operating data for a rough calculation of the power consumption.

[0047] Among them, the current updated weight may refer to the new weight coefficient obtained by adding or subtracting and correcting the initial weight based on the weight adjustment data. The current updated weight is a set of weights, and the current updated weight includes the weights corresponding to each parameter item. It enables the influence degree of each parameter item in the operating data on the power consumption to change dynamically with the change of the current operating data, and more accurately reflects the true power consumption through weight correction.

[0048] S104. According to the current operating data and the current updated weight, calculate the current power consumption of the vehicle.

[0049] Among them, the current power consumption may refer to the power consumed by the vehicle per kilometer traveled in the current driving state.

[0050] Specifically, the power consumption of the vehicle within a period of time in the current operating state is obtained by weighted summing each parameter value in the current operating data with the corresponding current update weight.

[0051] It can be seen that in the embodiment of the present application, by obtaining the current operating data including vehicle load, driving speed, road condition information, driving behavior information, and battery state information, basic data support is provided for the calculation of real-time power consumption; the weight adjustment data is determined according to the adjustment standard value corresponding to the current operating data; the current initial weight is adjusted to obtain the current update weight; the current power consumption of the vehicle is obtained by combining the current operating data with the updated weight; by dynamically adjusting the corresponding weight adjustment data in real time according to the current operating data of the vehicle, the power consumption of the vehicle can be calculated more accurately; the problem of large calculation errors in calculating the vehicle power consumption using static weights is solved; the calculation error of vehicle power consumption detection can be reduced.

[0052] In an alternative embodiment, Figure 2 It is a flowchart of a vehicle power consumption detection method provided by an embodiment of the present invention. When "the weight adjustment data includes: a weight adjustment symbol; the weight adjustment data of the operating data is determined according to the adjustment standard value corresponding to the operating data" is refined to "calculate the difference between each parameter item in the current operating data and the standard value corresponding to each parameter item in the adjustment standard value; according to the positive and negative signs of the differences calculated for each parameter item, determine the positive and negative adjustment directions corresponding to each parameter item, and use them as the weight adjustment symbols of the current operating data", the operation of vehicle power consumption detection is improved.

[0053] It should be noted that for the parts not detailed in the embodiments of the present invention, reference can be made to the descriptions of other embodiments.

[0054] See Figure 2 The vehicle power consumption detection method shown includes:

[0055] S201. Obtain the current operating data of the vehicle; the current operating data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information, and battery state information.

[0056] S202. Calculate the difference between each parameter item in the current operating data and the standard value corresponding to each parameter item in the adjustment standard value.

[0057] Among them, the difference can refer to the numerical difference between the parameter item in the operation data and the standard value in the adjustment standard value. The absolute value of the difference represents the degree of deviation of the parameter item in the operation data from the standard value, and the positive or negative of the difference represents the deviation direction of the parameter item in the operation data from the standard value. For example, assuming that the driving speed in the operation data is 100 km / h and the corresponding standard value is 60 km / h, the difference is 40 km / h; assuming that the driving speed in the operation data is 20 km / h and the corresponding standard value is 60 km / h, the difference is -40 km / h.

[0058] S203. Determine the positive and negative adjustment directions corresponding to each parameter item according to the positive and negative signs of the differences calculated for each parameter item, and use them as the weight adjustment signs for the current operation data.

[0059] Among them, the positive and negative adjustment directions can refer to the adjustment directions for determining the corresponding weights according to the positive and negative of the differences. Exemplarily, when the difference is greater than zero, that is, the parameter item in the current operation data is higher than the standard value, it indicates that the influence of this parameter item on the power consumption under the current working condition is greater than the standard, and the weight value corresponding to this parameter item needs to be increased; when the difference is less than zero, that is, the parameter item in the current operation data is lower than the standard value, it indicates that the influence of this parameter item on the power consumption under the current working condition is smaller than the standard, and the weight value corresponding to this parameter item needs to be decreased. Among them, the weight adjustment sign can refer to the positive and negative adjustment sign of the weight.

[0060] S204. Adjust the current initial weight corresponding to the current operation data according to the weight adjustment data of the current operation data to obtain the current updated weight corresponding to the current operation data.

[0061] S205. Calculate the current power consumption of the vehicle according to the current operation data and the current updated weight.

[0062] It can be seen that in this embodiment, by calculating the difference between the real-time operation data and the preset adjustment standard value, the deviation degree of each parameter item can be quantified, providing an accurate numerical basis for weight adjustment, thereby improving the adaptability and accuracy of power consumption calculation for different working conditions; by directly mapping the positive and negative of the difference to the increase and decrease directions of the weight and using it as the adjustment sign, it is possible to accurately judge the weight adjustment sign in the weight adjustment data.

[0063] In some embodiments, the weight adjustment data includes: weight adjustment values;

[0064] Determine the weight adjustment data of the current operation data according to the adjustment standard value corresponding to the current operation data, including:

[0065] Calculate the differences between each parameter item in the current operation data and the standard values corresponding to each parameter item in the adjustment standard value;

[0066] Calculate the absolute value of the difference calculated for each parameter item and the ratio between the standard value corresponding to each parameter item in the adjusted standard value, and determine the weight adjustment value of the weight corresponding to each parameter item in the initial weight.

[0067] Specifically, since the difference can be positive or negative, when the difference is negative, it is necessary to obtain the absolute value of the difference, calculate the ratio between the absolute value of the difference calculated for each parameter item and the standard value corresponding to each parameter item in the adjusted standard value, determine the degree of change ratio between the parameter item and the standard value through this ratio, and use this degree of change ratio to determine the degree of adjustment ratio of the weight, so as to determine the weight adjustment value of the weight corresponding to each parameter item in the initial weight.

[0068] It can be seen that in this embodiment, by calculating the ratio between the absolute value of the difference between the parameter item in the running data and its adjusted standard value, the actual deviation of each parameter item can be intuitively quantified, providing a clear basis for judging the size of the weight adjustment value, thereby enhancing the interpretability of the power consumption calculation process; thus obtaining more accurate weight adjustment data and further improving the accuracy of power consumption calculation.

[0069] In some embodiments, the road condition information includes: slope value, road speed limit value, and average vehicle speed value; the driving behavior information includes: acceleration times, deceleration times, and overspeed duration; the battery state information includes: remaining battery power and temperature value.

[0070] Among them, the slope value can refer to the longitudinal slope size of the current road section, used to judge whether the current vehicle is on an uphill, downhill or flat slope, and different slope values are given different influence values; obtain the speed limit value and average vehicle speed value of the current road, and judge whether the current vehicle is in a congested state; according to the slope state of the vehicle and whether it is in a congested state, assign corresponding weight values to the above items respectively, and calculate to obtain the road condition information.

[0071] Among them, the acceleration times can refer to the number of hard accelerations and the total number of accelerations. By calculating the ratio of the number of hard accelerations and the total number of accelerations of the vehicle within the current time period, the hard acceleration driving frequency of the driver can be determined.

[0072] Among them, the deceleration times can refer to the number of hard decelerations and the total number of decelerations. By calculating the ratio of the number of hard decelerations and the total number of decelerations of the vehicle within the current time period, the hard deceleration driving frequency of the driver can be determined.

[0073] Among them, the overspeed duration can refer to the total duration occupied by the vehicle when driving overspeed within the current time period. By calculating the ratio of the overspeed duration and the driving duration within the current time period, the time ratio occupied by overspeed driving can be determined.

[0074] Specifically, according to the rapid acceleration driving frequency, rapid deceleration driving frequency, and the proportion of speeding duration, the corresponding weight values are assigned to each of the above items, and the driving behavior information can be calculated.

[0075] Among them, the remaining battery power can refer to the remaining power of the battery; among them, the temperature value can refer to the temperature value of the battery. According to the remaining battery power and the temperature value, different weights are assigned to the remaining battery power and the temperature value respectively, and the battery state information is calculated.

[0076] It can be seen that in this embodiment, by obtaining the slope value, the identification of uphill and downhill sections during vehicle driving can be realized, thereby providing basic data support for energy consumption analysis or power consumption prediction; by obtaining the road speed limit value and the average vehicle speed value, it can be detected whether the vehicle is in a congested section; by obtaining the number of accelerations, the number of decelerations, and the speeding duration, the driving behavior pattern of the driver can be detected, and the driving behavior information can be quantified; by obtaining the remaining battery power and the temperature value, the battery state information can be quantified; by considering the influencing factors of multiple dimensions and refining each dimension when calculating the power consumption, a more comprehensive and accurate detection of the vehicle's power consumption can be achieved.

[0077] In some embodiments, the adjustment standard value is determined by the following method:

[0078] Obtain the standard power consumption range of the vehicle;

[0079] Obtain the historical operation data of the vehicle; the historical operation data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information, and battery state information;

[0080] According to the adjustment standard value corresponding to the historical operation data, determine the weight adjustment data of the historical operation data, and the weight adjustment data includes: a weight adjustment symbol and a weight adjustment value;

[0081] According to the weight adjustment data of the historical operation data, adjust the historical initial weight corresponding to the historical operation data to obtain the historical updated weight corresponding to the historical operation data;

[0082] According to the historical operation data and the historical updated weight, calculate the predicted power of the vehicle;

[0083] In the case where the predicted power is outside the standard power consumption range, update the adjustment standard value according to the difference between the predicted power and the standard power consumption range.

[0084] Among them, the standard power consumption range can refer to the range of power consumption in the normal driving state of the vehicle. For example, the standard power consumption range of the vehicle can be 1.0 - 1.2 kWh / km.

[0085] Among them, the predicted power consumption can refer to the power consumption of the vehicle predicted through historical data. The historical operation data and historical updated weights can be input into a deep learning model to obtain the predicted power consumption of the vehicle in the form of a deep learning model.

[0086] It can be seen that in this embodiment, by obtaining the standard power consumption range of the vehicle, a reference benchmark for the vehicle's energy consumption performance can be achieved; by obtaining historical operation data including vehicle load, driving speed, road condition information, driving behavior information, and battery state information, a comprehensive collection of factors affecting energy consumption can be realized, providing a multi-dimensional input basis for power consumption prediction; by determining weight adjustment data based on the adjustment standard value corresponding to the historical operation data, dynamic adjustment of the influence degree of various historical data can be achieved; by using the weight adjustment data to update the historical initial weights, weight optimization of historical data in the prediction process can be realized, thereby improving the accuracy of the prediction result; by calculating in combination with historical operation data and the updated weights, a vehicle power consumption prediction result more in line with actual working conditions can be achieved; by comparing the difference between the predicted power consumption and the standard power consumption range and updating the adjustment standard value accordingly, an adjustment standard value more in line with the balance of operating performance and power consumption can be obtained.

[0087] In some embodiments, the vehicle includes a truck powered by electric energy.

[0088] It can be seen that in this embodiment, by setting the vehicle as a truck powered by electric energy, it can be applied to the power consumption calculation of electric trucks, thereby improving the accuracy and applicability of energy consumption detection in the scenario of electric trucks.

[0089] Figure 3 The structural schematic diagram of a vehicle power consumption detection device provided by an embodiment of the present invention. The embodiment of the present invention is applicable to the situation of measuring the power consumption of a pure electric vehicle in motion. The device can execute the vehicle power consumption detection method, and the device can be implemented in the form of hardware and / or software.

[0090] See Figure 3 The vehicle power consumption detection device shown in the figure includes a data acquisition module 301, a weight determination module 302, a weight update module 303, and a power consumption calculation module 304, where

[0091] The data acquisition module 301 is used to acquire the current operation data of the vehicle; the current operation data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information, and battery state information;

[0092] A weight determination module 302, configured to determine weight adjustment data of the current operation data according to an adjustment standard value corresponding to the current operation data, where the weight adjustment data includes: a weight adjustment symbol and a weight adjustment value;

[0093] A weight update module 303, configured to adjust a current initial weight corresponding to the current operation data according to the weight adjustment data of the current operation data, so as to obtain a current updated weight corresponding to the current operation data;

[0094] A power consumption calculation module 304, configured to calculate a current power consumption of the vehicle according to the current operation data and the current updated weight.

[0095] The technical solution of the embodiment of the present invention provides basic data support for the calculation of real-time power consumption by obtaining the current operation data including vehicle load, driving speed, road condition information, driving behavior information, and battery state information; determines weight adjustment data according to an adjustment standard value corresponding to the current operation data; adjusts the current initial weight to obtain a current updated weight; calculates the current power consumption of the vehicle by combining the current operation data and the updated weight; by dynamically adjusting the corresponding weight adjustment data in real time according to the current operation data of the vehicle, the power consumption of the vehicle can be calculated more accurately; solves the problem that there is a large calculation error in calculating the vehicle power consumption using static weights; can reduce the calculation error of vehicle power consumption detection.

[0096] In some embodiments, in terms of the weight adjustment data including: a weight adjustment symbol, and determining the weight adjustment data of the operation data according to an adjustment standard value corresponding to the operation data, the weight determination module 302 is specifically configured to:

[0097] Calculate the difference between each parameter item in the current operation data and the standard value corresponding to each parameter item in the adjustment standard value;

[0098] According to the positive and negative signs of the differences calculated for each parameter item, determine the positive and negative adjustment directions corresponding to each parameter item, and use them as the weight adjustment symbols of the current operation data.

[0099] The weight adjustment data includes: a weight adjustment symbol;

[0100] Correspondingly, the weight determination module includes:

[0101] A difference calculation unit, configured to calculate the difference between each parameter item in the current operation data and the standard value corresponding to each parameter item in the adjustment standard value;

[0102] A symbol determination unit, configured to determine the positive and negative adjustment directions corresponding to each parameter item according to the positive and negative signs of the differences calculated for each parameter item, and use them as the weight adjustment symbols of the current operation data.

[0103] In some embodiments, in the aspect that the weight adjustment data includes: a weight adjustment value, and determines the weight adjustment data of the current operation data according to the adjustment standard value corresponding to the current operation data, the weight determination module 302 is specifically configured to:

[0104] Calculate the difference between each parameter item in the current operation data and the standard value corresponding to each parameter item in the adjustment standard value;

[0105] Calculate the ratio between the absolute value of the difference calculated for each parameter item and the standard value corresponding to each parameter item in the adjustment standard value, and determine the weight adjustment value corresponding to each parameter item in the initial weight.

[0106] In some embodiments, the road condition information includes: a slope value, a road speed limit value, and an average vehicle speed value; the driving behavior information includes: the number of acceleration times, the number of deceleration times, and the overspeed duration; the battery state information includes: the remaining battery power and the temperature value.

[0107] In some embodiments, in the aspect that the adjustment standard value is determined by the following method, the weight determination module 302 is specifically configured to:

[0108] Obtain the standard power consumption range of the vehicle;

[0109] Obtain the historical operation data of the vehicle; the historical operation data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information, and battery state information;

[0110] Determine the weight adjustment data of the historical operation data according to the adjustment standard value corresponding to the historical operation data, and the weight adjustment data includes: a weight adjustment symbol and a weight adjustment value;

[0111] Adjust the historical initial weight corresponding to the historical operation data according to the weight adjustment data of the historical operation data to obtain the historical updated weight corresponding to the historical operation data;

[0112] Calculate the predicted power of the vehicle according to the historical operation data and the historical updated weight;

[0113] In the case that the predicted power is outside the standard power consumption range, update the adjustment standard value according to the difference between the predicted power and the standard power consumption range.

[0114] In some embodiments, the vehicle includes: a truck powered by electric energy.

[0115] The vehicle power consumption detection device provided by the embodiments of the present invention can execute the vehicle power consumption detection method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the vehicle power consumption detection method.

[0116] Figure 4Schematic structural diagram of a vehicle power consumption detection device provided by an embodiment of the present invention.

[0117] As Figure 4 shown, the vehicle power consumption detection device 400 includes at least one processor 401 and a memory communicatively connected to the at least one processor 401, such as a read-only memory (ROM) 402, a random access memory (RAM) 403, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 401 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 402 or the computer program loaded from the storage unit 408 into the random access memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the vehicle power consumption detection device 400 can also be stored. The processor 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. The input / output (I / O) interface 408 is also connected to the bus 404.

[0118] Multiple components in the vehicle power consumption detection device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, an optical disc, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the vehicle power consumption detection device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0119] The processor 401 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 401 executes the various methods and processes described above, such as the vehicle power consumption detection method.

[0120] In some embodiments, the vehicle power consumption detection method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed onto the vehicle power consumption detection device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the processor 401, one or more steps of the vehicle power consumption detection method described above may be executed. Alternatively, in other embodiments, the processor 401 may be configured to execute the vehicle power consumption detection method by any other suitable means (e.g., by means of firmware).

[0121] The various embodiments of the systems and techniques described above in this document may be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems on a chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0122] The computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs may be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0123] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0124] In order to provide interaction with a user, the systems and techniques described herein can be implemented on an operation detection device that has: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which the user can provide input to the vehicle power consumption detection device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0125] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0126] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The relationship between the client and the server is created by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS (Virtual Private Server) services.

[0127] It should be understood that various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0128] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A vehicle power consumption detection method, characterized in that: The method comprises: Acquiring current operating data of the vehicle; the current operating data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information and battery status information; Determine weight adjustment data of the current operation data according to the adjustment standard value corresponding to the current operation data, wherein the weight adjustment data includes: a weight adjustment symbol and a weight adjustment value; According to the weight adjustment data of the current running data, the current initial weight corresponding to the current running data is adjusted to obtain the current updated weight corresponding to the current running data; The current power consumption of the vehicle is calculated based on the current operating data and the current updated weight.

2. The method according to claim 1, characterized in that The weight adjustment data includes: a weight adjustment symbol; The step of determining the weight adjustment data of the operating data according to the adjustment standard value corresponding to the operating data includes: Calculating the difference between each parameter item in the current operation data and the standard value corresponding to each parameter item in the adjustment standard value; According to the positive and negative signs of the differences calculated for each of the parameter items, the positive and negative adjustment directions corresponding to each of the parameter items are determined and used as the weight adjustment signs for the current running data.

3. The method according to claim 1, characterized in that The weight adjustment data includes: weight adjustment value; The determining the weight adjustment data of the current operation data according to the adjustment standard value corresponding to the current operation data includes: Calculating the difference between each parameter item in the current operation data and the standard value corresponding to each parameter item in the adjustment standard value; The ratio between the absolute value of the difference calculated for each parameter item and the standard value corresponding to each parameter item in the adjustment standard value is calculated to determine the weight adjustment value of the weight corresponding to each parameter item in the initial weight.

4. The method according to claim 1, characterized in that: The road condition information includes: slope value, road speed limit value and average vehicle speed value; the driving behavior information includes: acceleration times, deceleration times and speeding duration; the battery status information includes: battery remaining power and temperature value.

5. The method according to claim 1, characterized in that The adjustment standard value is determined by: Obtaining a standard power consumption range of the vehicle; Acquiring historical operation data of the vehicle; the historical operation data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information and battery status information; Determine weight adjustment data of the historical operation data according to the adjustment standard value corresponding to the historical operation data, wherein the weight adjustment data includes: a weight adjustment symbol and a weight adjustment value; According to the weight adjustment data of the historical operation data, the historical initial weight corresponding to the historical operation data is adjusted to obtain the historical update weight corresponding to the historical operation data; Calculating the predicted power of the vehicle according to the historical operating data and the historical update weight; When the predicted power amount is outside the standard power consumption interval, the adjustment standard value is updated according to a difference between the predicted power amount and the standard power consumption interval.

6. The method according to claim 1, characterized in that The vehicle includes: a truck using electric energy as a power source.

7. A vehicle power consumption detection device, characterized in that: include: A data acquisition module, used to acquire current operating data of the vehicle; the current operating data includes at least one of the following: vehicle load, driving speed, road condition information, driving behavior information and battery status information; A weight determination module, configured to determine weight adjustment data of the current operation data according to an adjustment standard value corresponding to the current operation data, wherein the weight adjustment data includes: a weight adjustment symbol and a weight adjustment value; A weight updating module, configured to adjust the current initial weight corresponding to the current running data according to the weight adjustment data of the current running data, so as to obtain the current updated weight corresponding to the current running data; The power consumption calculation module is used to calculate the current power consumption of the vehicle according to the current operating data and the current update weight.

8. The device according to claim 7, characterized in that The weight adjustment data includes: a weight adjustment symbol; Accordingly, the weight determination module includes: A difference calculation unit, used for calculating the difference between each parameter item in the current operation data and the standard value corresponding to each parameter item in the adjustment standard value; A sign determination unit is used to determine the positive and negative adjustment directions corresponding to each of the parameter items according to the positive and negative signs of the differences calculated for each of the parameter items, and use them as the weight adjustment signs for the current running data.

9. A vehicle power consumption detection device, characterized in that: The vehicle power consumption detection device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the vehicle power consumption detection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the vehicle power consumption detection method according to any one of claims 1 to 7 when executed.

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