Method and device for determining endurance mileage of electric vehicle under standard working condition and storage medium
By acquiring the power consumption and driving data of electric vehicles under standard operating conditions, filtering the constant speed driving data, calculating the correction ratio coefficient, and combining it with the battery health value, the problem of inaccurate range correction for electric vehicles has been solved, and more accurate range prediction has been achieved.
Patent Information
- Application Number
- CN202511191159.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-25
- Publication Date
- 2025-10-28
AI Technical Summary
Existing methods for correcting the driving range of electric vehicles fail to accurately reflect special operating conditions, resulting in a significant difference between the actual driving range and the advertised driving range.
By acquiring power consumption data, driving data, and electrical appliance power consumption data of electric vehicles under standard operating conditions, filtering constant speed driving data, calculating multiple correction ratio coefficients, and combining them with battery health values, the standard driving range of the vehicle is updated to obtain the standard driving range of the electric vehicle under standard operating conditions.
It achieves more accurate range prediction, and can dynamically adjust for the effects of battery degradation, changes in electrical load and external factors, reflecting differences in user driving habits and vehicle status, thus improving the accuracy of range prediction.
Smart Images

Figure CN120840461A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of electric vehicle range prediction technology, and in particular to a method, device and storage medium for determining the standard driving range of electric vehicles. Background Technology
[0002] In recent years, with the rapid increase in the penetration rate of new energy vehicles and the rapid increase in the number of electric vehicle users, a large number of user complaints regarding range and energy consumption have also increased rapidly. Some of these user complaints focus on the significant discrepancy between the advertised range and the range actually achieved by users in real-world driving.
[0003] In response to user range deviations, the industry has introduced its own range correction methods. However, current range correction methods generally focus on obtaining a predicted range value based on the user's recent usage conditions, ignoring some special conditions, resulting in inaccurate corrections. Summary of the Invention
[0004] The main purpose of this application is to provide a method, device and storage medium for determining the standard driving range of electric vehicles, aiming to solve the technical problem that the current driving range correction is not accurate enough.
[0005] To achieve the above objectives, this application proposes a method for determining the standard driving range of an electric vehicle, the method comprising:
[0006] Acquire power consumption data, driving data, electrical appliance power consumption data, and battery health value of electric vehicles under standard operating conditions during test cycles;
[0007] The driving data is filtered to obtain the constant speed driving data of the electric vehicle at different speed ranges;
[0008] Based on the constant speed driving data, the power consumption data of the electrical appliances, and the power consumption data, multiple correction ratio coefficients are calculated;
[0009] The standard driving range of the vehicle is updated based on multiple correction ratios and the battery health value to obtain the standard driving range of the electric vehicle under standard operating conditions.
[0010] In one embodiment, the plurality of correction ratios include: a plurality of vehicle speed range correction ratios and a low-voltage and electrical appliance correction ratio;
[0011] The step of calculating multiple correction ratio coefficients based on the constant speed driving data, the electrical appliance power consumption data, and the power consumption data includes:
[0012] The driving stability rate at different speed ranges is calculated based on the constant speed driving data.
[0013] Calculate correction coefficients for multiple speed ranges based on the driving stability rate of different speed ranges;
[0014] Calculate the low-voltage and appliance correction coefficients based on the power consumption data of the appliances;
[0015] Calculate multiple speed segment correction ratio coefficients based on the power consumption data and multiple speed segment correction coefficients;
[0016] The low-voltage and appliance correction ratio coefficient is calculated based on the power consumption data and the low-voltage and appliance correction coefficient.
[0017] In one embodiment, the step of calculating the driving stability rate for different speed ranges based on the constant speed driving data includes:
[0018] Based on the constant speed driving data, the highest speed, the lowest speed, and the speed deviation value in each speed segment are obtained;
[0019] Obtain the electric drive energy consumption correction coefficient and the number of speed segments for each vehicle speed segment;
[0020] Calculate the sum of the speed deviation values based on the aforementioned speed deviation values;
[0021] The maximum sum is calculated based on the maximum vehicle speed, the minimum vehicle speed, and the number of speed segments;
[0022] The driving stability rate for different speed ranges is calculated based on the sum of the speed deviation values, the maximum sum, and the electric drive energy consumption correction coefficient for each speed range.
[0023] In one embodiment, the step of calculating the low voltage and appliance correction coefficient based on the appliance power consumption data includes:
[0024] Based on the power consumption data of the electrical appliances, the following data are obtained: the first low-voltage power consumption and the total duration of the first operating condition when the electric vehicle travels a preset mileage within a range greater than the first vehicle speed value and less than or equal to the second vehicle speed value; the second low-voltage power consumption and the total duration of the second operating condition when the electric vehicle travels a preset mileage within a range greater than the second vehicle speed value and less than or equal to the third vehicle speed value; and the third low-voltage power consumption and the total duration of the third operating condition when the electric vehicle travels a preset mileage within a range greater than the third vehicle speed value and less than or equal to the fourth vehicle speed value.
[0025] The average power of the first low-voltage electrical appliance is calculated based on the first low-voltage power consumption and the total duration of the first operating condition; the average power of the second low-voltage electrical appliance is calculated based on the second low-voltage power consumption and the total duration of the second operating condition; and the average power of the third low-voltage electrical appliance is calculated based on the third low-voltage power consumption and the total duration of the third operating condition.
[0026] Obtain the standard power consumption of electrical appliances at different vehicle speeds and the weighting percentage of different vehicle speeds;
[0027] The low-voltage and appliance correction coefficients are calculated based on the average power of the first low-voltage appliance, the average power of the second low-voltage appliance, the average power of the third low-voltage appliance, the standard power consumption at different vehicle speeds, and the weighting percentage.
[0028] In one embodiment, the step of calculating multiple speed range correction ratio coefficients based on the power consumption data and multiple speed range correction coefficients includes:
[0029] Based on the power consumption data, the average power consumption of a single-cycle battery under standard operating conditions, the average power consumption of the low-speed motor, the average power consumption of the medium-speed motor, and the average power consumption of the high-speed motor are obtained.
[0030] The low-speed range correction coefficient, medium-speed range correction coefficient, and high-speed range correction coefficient are obtained based on the multiple speed range correction coefficients mentioned above;
[0031] The low-speed correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the low-speed motor, and the low-speed correction coefficient.
[0032] The mid-speed correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the mid-speed motor, and the mid-speed correction coefficient.
[0033] Calculate the high-speed section correction ratio coefficient based on the average power consumption of the single-cycle battery, the average power consumption of the high-speed section motor, and the high-speed section correction coefficient;
[0034] Multiple vehicle speed range correction ratios are obtained based on the low-speed range correction ratio, the medium-speed range correction ratio, and the high-speed range correction ratio.
[0035] In one embodiment, the step of calculating the low-voltage and appliance correction ratio based on the power consumption data and the low-voltage and appliance correction coefficient includes:
[0036] Based on the power consumption data, the average power consumption of a single-cycle battery and the average power consumption of a single-cycle electrical appliance under standard operating conditions are obtained.
[0037] The low-voltage and appliance correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the single-cycle electrical appliance, and the low-voltage and appliance correction coefficient.
[0038] In one embodiment, the step of filtering the driving data to obtain constant speed driving data of the electric vehicle at different speed ranges includes:
[0039] The driving data is filtered to obtain a uniform speed driving data segment;
[0040] Obtain the highest and lowest vehicle speeds in the constant-speed driving data segment;
[0041] When the continuous duration of the highest vehicle speed or the lowest vehicle speed is greater than a preset continuous duration and the ratio between the highest vehicle speed and the lowest vehicle speed is less than or equal to a preset ratio value, the average vehicle speed of the uniform speed driving data segment is calculated.
[0042] When the average vehicle speed is greater than the first vehicle speed value and less than or equal to the second vehicle speed value, the uniform speed driving data segment is defined as a uniform low speed segment.
[0043] When the average vehicle speed is greater than the second vehicle speed value and less than or equal to the third vehicle speed value, the uniform speed driving data segment is defined as the uniform speed medium speed segment.
[0044] When the average vehicle speed is greater than the third vehicle speed value and less than or equal to the fourth vehicle speed value, the uniform speed driving segment is defined as a uniform speed high speed segment.
[0045] The uniform speed driving data of the electric vehicle at different speed ranges are obtained based on the uniform low speed range, the uniform medium speed range, and the uniform high speed range.
[0046] In one embodiment, after the step of updating the vehicle's standard driving range based on a plurality of the correction ratio coefficients and the battery health value to obtain the standard driving range of the electric vehicle, the method further includes:
[0047] The standard driving range of the electric vehicle under standard operating conditions is compared with the standard driving range of the vehicle to obtain the comparison result;
[0048] When the comparison result shows that the standard driving range of the electric vehicle is less than the standard driving range of the vehicle, a driving suggestion is generated, and the driver is reminded according to the driving suggestion so that the driver can adjust the driving data according to the driving suggestion when performing a test cycle under standard conditions.
[0049] Furthermore, to achieve the above objectives, this application also proposes a device for determining the standard driving range of an electric vehicle, the device comprising:
[0050] The acquisition module is used to acquire power consumption data, driving data, electrical appliance power consumption data, and battery health value of electric vehicles under standard operating conditions during test cycles.
[0051] The filtering module is used to filter the driving data to obtain the constant speed driving data of the electric vehicle at different speed ranges.
[0052] The calculation module is used to calculate multiple correction ratio coefficients based on the constant speed driving data, the electrical appliance power consumption data, and the power consumption data;
[0053] The update module is used to update the standard driving range of the vehicle based on multiple correction ratio coefficients and the battery health value, so as to obtain the standard driving range of the electric vehicle under standard operating conditions.
[0054] In addition, to achieve the above objectives, this application also proposes an electric vehicle standard operating condition range determination device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the electric vehicle standard operating condition range determination method as described above.
[0055] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the method for determining the standard driving range of electric vehicles as described above.
[0056] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the electric vehicle standard operating condition range determination method described above.
[0057] This application proposes one or more technical solutions that, by comprehensively considering factors such as the electric vehicle's power consumption, driving data, electrical appliance data, and battery health under different operating conditions, can more accurately calculate the vehicle's driving range. In particular, analyzing constant-speed driving data at different speed ranges more realistically reflects the energy consumption of electric vehicles under different driving modes, making the range prediction more consistent with actual usage conditions. It not only optimizes the range prediction through speed range correction coefficients but also incorporates battery health and electrical appliance data, allowing the driving range to dynamically adjust based on battery degradation, changes in electrical appliance load, and other external factors. By focusing on correcting the standard operating condition and establishing correction coefficients for different speed ranges based on differences in user driving habits, while also considering equipment usage habits, differences in vehicle consistency, and vehicle health, the standard operating condition range value is corrected. This more intuitively reflects the decrease or increase in the vehicle's advertised range under the influence of factors such as differences in user driving habits, equipment usage habits, differences in vehicle consistency, and vehicle health, helping users better evaluate driving habits and behaviors and improving the effectiveness of standard operating condition cycle testing. Attached Figure Description
[0058] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0059] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0060] Figure 1 A flowchart illustrating the method for determining the standard driving range of electric vehicles in this application (Example 1).
[0061] Figure 2 A flowchart illustrating Embodiment 2 of the method for determining the standard driving range of electric vehicles in this application;
[0062] Figure 3 A flowchart illustrating Embodiment 3 of the method for determining the standard driving range of electric vehicles in this application;
[0063] Figure 4 A flowchart illustrating Embodiment 4 of the method for determining the standard driving range of electric vehicles in this application;
[0064] Figure 5 This is a schematic diagram of the module structure of the electric vehicle standard operating condition range determination device according to an embodiment of this application;
[0065] Figure 6 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the method for determining the standard driving range of electric vehicles in this application embodiment.
[0066] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0067] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.
[0068] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.
[0069] The main solution of this application embodiment is as follows: Obtain power consumption data, driving data, electrical appliance power consumption data, and battery health value of an electric vehicle under standard operating conditions during a test cycle; filter the driving data to obtain constant speed driving data of the electric vehicle at different speed ranges; calculate multiple correction ratio coefficients based on the constant speed driving data, the electrical appliance power consumption data, and the power consumption data; update the standard driving range of the vehicle according to the multiple correction ratio coefficients and the battery health value to obtain the standard operating condition driving range of the electric vehicle.
[0070] Current technologies generally focus on obtaining a predicted achievable range based on recent user driving conditions, but neglect adjustments for the standard driving range itself. Furthermore, for driving range testing organizations, there is a lack of a method to evaluate whether different testers' vehicle control capabilities meet the needs of the organization and its clients.
[0071] This application provides a solution that focuses on correcting the driving range value under standard operating conditions, such as the CLTC (China Light-duty Vehicle Test Cycle). Based on differences in user driving habits, correction coefficients are established for low, medium, and high-speed segments. At the same time, the solution takes into account equipment usage habits, differences in vehicle consistency, and vehicle health status to complete the correction of the standard operating condition driving range value.
[0072] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions, such as a device for determining the standard driving range of an electric vehicle. The following description uses a device for determining the standard driving range of an electric vehicle as an example to illustrate this embodiment and the subsequent embodiments.
[0073] Based on this, embodiments of this application provide a method for determining the standard driving range of an electric vehicle, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the method for determining the standard driving range of electric vehicles according to this application.
[0074] In this embodiment, the method for determining the standard driving range of an electric vehicle includes steps S10 to S40:
[0075] Step S10: Obtain the power consumption data, driving data, electrical appliance power consumption data, and battery health value of the electric vehicle under standard operating conditions during the test cycle.
[0076] It should be noted that when electric vehicles undergo standard operating condition range testing cycles on a test bench, vehicle data for each cycle can be collected. By calculating from this data, power consumption data, driving data, electrical appliance power consumption data, and the battery health value K can be obtained. SOH .
[0077] It should be noted that the standard operating condition can be the CLTC standard operating condition, or it can be other standard operating conditions such as WLTC (World Light Vehicle Test Cycle), NEDC (New European Driving Cycle), or standard operating conditions set by the company based on its own needs.
[0078] In practical implementation, power consumption data can include the average power consumption of the battery in a single cycle under standard operating conditions, the average power consumption of the motor at different vehicle speeds, the average power consumption of electrical appliances in a single cycle (including the DC-DC converter, PTC (heater), and compressor), and the average power consumption of electrical appliances at different vehicle speeds. Driving data includes vehicle speed data at different speeds, such as maximum speed, minimum speed, average speed, and driving data for different speed ranges. Electrical appliance power consumption data includes the low-voltage power consumption of electrical appliances within different vehicle speed ranges and the corresponding total operating time. The battery health value is the most recently uploaded battery health value from the battery management system.
[0079] Step S20: Filter the driving data to obtain the constant speed driving data of the electric vehicle at different speed ranges.
[0080] In practice, driving data collected by TBOX or other methods can be filtered and processed to obtain constant speed driving data of electric vehicles at different speed ranges.
[0081] The constant speed driving data for different speed ranges includes constant speed driving data for low speed range, constant speed driving data for medium speed range, and constant speed driving data for high speed range.
[0082] In one feasible implementation, step S20 may include steps A11 to A17:
[0083] Step A11: Filter the driving data to obtain uniform speed driving data segments;
[0084] Understandably, the driving data can be filtered first, and segments with small or no speed changes can be selected from the driving data to obtain uniform speed driving data segments. There can be multiple uniform speed driving data segments, which can include uniform speed driving data segments at different speeds.
[0085] Step A12: Obtain the highest and lowest vehicle speeds in the constant speed driving data segment;
[0086] It should be noted that within the constant speed driving data segment, the maximum vehicle speed V can be obtained. max and minimum speed V min .
[0087] Step A13: When the continuous duration of the highest vehicle speed or the lowest vehicle speed is greater than a preset continuous duration and the ratio between the highest vehicle speed and the lowest vehicle speed is less than or equal to a preset ratio value, calculate the average vehicle speed of the uniform speed driving data segment.
[0088] It is understood that the continuous duration of driving at the highest or lowest speed can be obtained. The preset continuous duration can be set to 60s, 80s, etc., and this embodiment does not limit this. The preset ratio value can be set to 1.2, 1.5, etc., and this embodiment does not limit this. This embodiment uses 1.2 as an example for explanation. If the continuous duration of the highest or lowest speed is greater than the preset continuous duration and the ratio between the highest speed and the lowest speed is less than or equal to 1.2, the uniform speed driving data segment is defined as a valid uniform speed driving segment, and the average speed V of this valid uniform speed driving segment is calculated. avg .
[0089] Step A14: When the average vehicle speed is greater than the first vehicle speed value and less than or equal to the second vehicle speed value, the uniform speed driving data segment is defined as a uniform low speed segment.
[0090] It should be understood that the values of the first and second vehicle speeds can be set according to requirements. In this embodiment, the first vehicle speed is set to 0 kph, and the second vehicle speed is set to 50 kph. If 0 kph < V avg If the speed is ≤50kph, then the data for this speed range is defined as the data for the uniform low-speed range.
[0091] Step A15: When the average vehicle speed is greater than the second vehicle speed value and less than or equal to the third vehicle speed value, the uniform speed driving data segment is defined as the uniform speed medium speed segment.
[0092] The third vehicle speed value is set to 80 kph. When 50 kph < Vavg ≤ 80 kph, this speed range is defined as the constant speed medium speed range, and the data of this speed range is defined as the data of the constant speed medium speed range.
[0093] Step A16: When the average vehicle speed is greater than the third vehicle speed value and less than or equal to the fourth vehicle speed value, the uniform speed driving segment is defined as a uniform speed high speed segment.
[0094] The fourth vehicle speed value is set to 120 kph. When 0 kph < Vavg ≤ 120 kph, this speed range is defined as the constant speed high speed range, and the data of this speed range is defined as the data of the constant speed high speed range.
[0095] Step A17: Obtain the constant speed driving data of the electric vehicle in different speed ranges based on the constant speed low speed range, the constant speed medium speed range, and the constant speed high speed range.
[0096] In practice, the uniform speed data of electric vehicles in the low, medium, and high speed ranges can be obtained by filtering specific uniform speed driving data segments based on the uniform low speed range, the uniform medium speed range, and the uniform high speed range.
[0097] For the division of the standard operating conditions into low-speed, medium-speed, and high-speed segments, and the mileage for each speed segment, the CLTC (China Light Vehicle Test Cycle) settings commonly used in domestic passenger vehicles can be adopted, specifically:
[0098] The CLTC low-speed range can be set from 0 to 674 seconds, with a range of 2.45 kilometers.
[0099] The CLTC's mid-speed range can be set from 695 seconds to 1367 seconds, with a range of 5.91 kilometers.
[0100] The CLTC high-speed section can be set to 1368 seconds to 1800 seconds, with a driving range of 6.12 kilometers. For other standard operating conditions such as WLTC and NEDC, as well as standard operating conditions set by enterprises based on their own needs, the division of low-speed, medium-speed, and high-speed sections can be based on their own requirements.
[0101] Step S30: Calculate multiple correction ratio coefficients based on the constant speed driving data, the power consumption data of the electrical appliances, and the power consumption data.
[0102] It should be noted that the multiple correction ratios include: multiple speed range correction ratios and low voltage and electrical appliance correction ratios.
[0103] Therefore, multiple speed range correction coefficients and low-voltage and electrical appliance correction coefficients can be calculated based on constant speed driving data, electrical appliance power consumption data, and power consumption data.
[0104] Step S40: Update the standard driving range of the vehicle based on the multiple correction ratio coefficients and the battery health value to obtain the standard driving range of the electric vehicle under standard operating conditions.
[0105] It should be noted that the corrected standard driving range of an electric vehicle can be calculated by combining multiple speed range correction coefficients, low-voltage and electrical appliance correction coefficients, battery health value, and the vehicle's standard driving range value. The standard driving range of an electric vehicle is calculated as follows:
[0106] H correct =H base ×(K low +K mid +K high +K dcdc )×K SOH
[0107] In the above formula, H correct For the standard driving range of electric vehicles, H base K represents the standard driving range of the vehicle. SOH K represents the battery health value. low K mid K high K is a correction factor for multiple speed ranges. dcdc Correction factor for low voltage and electrical appliances.
[0108] It should be noted that, in order to improve the effectiveness of standard operating condition cycle testing, after obtaining the standard operating condition driving range of the electric vehicle, the driver conducting the standard operating condition cycle test can be evaluated based on the relationship between the standard operating condition driving range of the electric vehicle and the standard driving range value of the vehicle. This will help determine whether each driver's driving habits and vehicle control level are conducive to the driving range and whether they meet the requirements of the institution and users for the test driver's capabilities.
[0109] In one feasible implementation, after step S40, steps S41 to S42 are further included:
[0110] Step S41: Compare the standard driving range of the electric vehicle with the standard driving range of the vehicle to obtain the comparison result;
[0111] It should be noted that the standard driving range of electric vehicles is a prediction based on actual user usage, representing the expected driving range of the current vehicle under regulatory standard operating conditions. Therefore, the standard driving range H of electric vehicles can be referred to as H. correct Compared with the vehicle's standard range H base By making comparisons, we can obtain the results of the comparisons.
[0112] It should be understood that the standard driving range H of electric vehicles... correct =Standard driving range H of the vehicle base At that time, it can be determined that the driver's or tester's driving stability and the vehicle's condition fully meet the regulatory CLTC operating condition targets.
[0113] Step S42: When the comparison result shows that the standard driving range of the electric vehicle is less than the standard driving range of the vehicle, a driving suggestion is generated, and the driver is reminded according to the driving suggestion so that the driver can adjust the driving data according to the driving suggestion when performing a test cycle under standard conditions.
[0114] It should be noted that if the comparison result is the standard driving range H of the electric vehicle... correct <Vehicle standard range H base This indicates that factors such as the current vehicle and driver capabilities limit the vehicle's range, and that there is room for improvement in achieving the desired range. Therefore, driving suggestions can be generated to remind drivers conducting standard operating cycle tests, allowing them to adjust their driving data accordingly to achieve the standard operating range H of the electric vehicle. correct =Standard driving range H of the vehicle base .
[0115] This embodiment provides a method for determining the standard driving range of an electric vehicle. By comprehensively considering factors such as the electric vehicle's power consumption, driving data, electrical appliance data, and battery health under different operating conditions, the driving range can be calculated more accurately. In particular, analyzing constant speed driving data at different speed ranges can more realistically reflect the energy consumption of the electric vehicle under different driving modes, making the range prediction more consistent with actual usage conditions. It not only optimizes the range prediction through speed range correction coefficients but also incorporates battery health and electrical appliance data, allowing the driving range to be dynamically adjusted based on battery degradation, changes in electrical appliance load, and other external factors. By focusing on correcting the standard driving conditions and establishing correction coefficients for different speed ranges based on differences in user driving habits, while also considering equipment usage habits, differences in vehicle consistency, and vehicle health, the standard driving range value is corrected. This more intuitively reflects the decrease or increase in the vehicle's advertised driving range due to differences in user driving habits, equipment usage habits, differences in vehicle consistency, and vehicle health, helping users better evaluate driving habits and behaviors and improving the effectiveness of standard driving condition cycle testing.
[0116] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 Step S30 includes steps S301 to S305:
[0117] Step S301: Calculate the driving stability rate for different speed ranges based on the constant speed driving data.
[0118] Understandably, the driving stability rate for a given speed range can be calculated based on constant speed driving data for different speed ranges.
[0119] When a driver maintains a constant speed at the desired speed, the fluctuations in vehicle speed will vary due to differences in driving habits, accelerator pedal control, and the vehicle's current state. During these speed fluctuations, the electric drive system frequently engages and regenerates energy, resulting in energy loss. This is the primary source of energy differences among drivers maintaining the desired speed. Therefore, for effective constant-speed driving segments, a driving stability equation can be established in advance. This allows for the calculation of driving stability rates at different speed segments based on constant-speed driving data and the driving stability equation.
[0120] Step S302: Calculate correction coefficients for multiple speed ranges based on the driving stability rate of different speed ranges.
[0121] In practice, correction coefficients for different speed ranges can be calculated based on the driving stability rate of different speed ranges, thus obtaining multiple speed range correction coefficients, including low-speed range correction coefficients, medium-speed range correction coefficients, and high-speed range correction coefficients.
[0122] It should be noted that the low-speed range correction factor can be calculated from the low-speed range driving stability rate. Among them, i low i represents the number of low-speed segments acquired from real vehicle data. low =1,2,3,4..., where n is the total number of vehicle speed data points in a 60-second constant-speed driving segment, and γ ilow This refers to the driving stability rate at low speeds.
[0123] Medium speed range correction factor i mid i represents the number of mid-speed segments acquired from actual vehicle data. mid =1,2,3,4……,γ imid This represents the driving stability rate at medium speeds. The correction factor for high speeds is... i high The number of high-speed segments obtained from actual vehicle data, i high =1,2,3,4……,γ ihigh This refers to the driving stability rate at high speeds.
[0124] Step S303: Calculate the low voltage and appliance correction coefficients based on the power consumption data of the appliances.
[0125] In practice, when a vehicle is in motion, in addition to the electric drive system consuming electricity, other low-voltage accessories and high-voltage electrical appliances in the vehicle also consume electricity, such as the vehicle's infotainment system, seats, ambient lighting, audio system, air conditioning, PTC, low-voltage appliances, and other electrical appliances. Different users, based on different driving habits and scenarios, will have different power consumption for their low-voltage accessories and high-voltage electrical appliances compared to standard regulations.
[0126] Therefore, low-voltage and appliance correction coefficients can be calculated based on the low-voltage power consumption at different vehicle speeds and the total operating time in the appliance power consumption data, thereby correcting the differences caused by these factors.
[0127] Step S304: Calculate multiple speed segment correction ratio coefficients based on the power consumption data and multiple speed segment correction coefficients.
[0128] Understandably, correction ratios for different speed ranges can be calculated based on power consumption data and correction coefficients for multiple speed ranges, including correction ratios for low-speed, medium-speed, and high-speed ranges.
[0129] In one feasible implementation, step S304 may include steps B11 to B16:
[0130] Step B11: Based on the power consumption data, obtain the average power consumption of a single-cycle battery under standard operating conditions, the average power consumption of the low-speed motor, the average power consumption of the medium-speed motor, and the average power consumption of the high-speed motor.
[0131] It should be noted that the average power consumption (W) of a single-cycle battery under standard operating conditions can be obtained from the power consumption data. base Average power consumption of motor in low-speed range (W) elow Average power consumption (W) of medium-speed motors emid and the average power consumption W of the high-speed motor ehigh .
[0132] Step B12: Obtain the low-speed segment correction coefficient, medium-speed segment correction coefficient, and high-speed segment correction coefficient based on the multiple speed segment correction coefficients;
[0133] In practice, correction factors can be applied to multiple speed ranges, including the low-speed range correction factor α. low Medium speed range correction factor α mid and the high-speed section correction factor α high .
[0134] Step B13: Calculate the low-speed section correction ratio coefficient based on the average power consumption of the single-cycle battery, the average power consumption of the low-speed motor, and the low-speed section correction coefficient;
[0135] It is understandable that the low-speed correction ratio coefficient K can be calculated based on the average power consumption of a single-cycle battery, the average power consumption of the motor in the low-speed range, and the low-speed range correction coefficient. low Low-speed range correction coefficient K low =W elow / W base ×α low .
[0136] Step B14: Calculate the medium-speed correction ratio coefficient based on the average power consumption of the single-cycle battery, the average power consumption of the medium-speed motor, and the medium-speed correction coefficient;
[0137] In practical implementation, the correction ratio K for the medium speed range mid = Average power consumption of motor in medium speed range (W) emid Average power consumption per single cycle battery (W) base × Mid-speed range correction factor α mid .
[0138] Step B15: Calculate the high-speed section correction ratio coefficient based on the average power consumption of the single-cycle battery, the average power consumption of the high-speed section motor, and the high-speed section correction coefficient;
[0139] In practical implementation, the correction ratio K for high-speed sections high = Average power consumption of motor in high-speed section (W) ehigh Average power consumption per single cycle battery (W) base ×High-speed section correction factor α high .
[0140] Step B16: Obtain multiple vehicle speed range correction ratios based on the low-speed range correction ratio, the medium-speed range correction ratio, and the high-speed range correction ratio.
[0141] It should be noted that after obtaining the correction ratio coefficients for low speed range, medium speed range, and high speed range, these correction ratio coefficients can be used as correction ratio coefficients for multiple vehicle speed ranges.
[0142] Step S305: Calculate the low voltage and appliance correction ratio coefficient based on the power consumption data and the low voltage and appliance correction coefficient.
[0143] In one feasible implementation, step S305 may include steps C11 to C12:
[0144] Step C11: Obtain the average power consumption of the battery and the average power consumption of the electrical appliance under standard operating conditions in a single cycle based on the power consumption data.
[0145] It should be noted that the average single-cycle battery power consumption (W) under standard operating conditions can be obtained from the power consumption data. base And the average power consumption W of a single-cycle electrical appliance bdc .
[0146] Step C12: Calculate the low-voltage and appliance correction ratio coefficient based on the average power consumption of the single-cycle battery, the average power consumption of the single-cycle electrical appliance, and the low-voltage and appliance correction coefficient.
[0147] In practical implementation, the average power consumption W of a single-cycle battery can be used as a reference. base Average power consumption (W) of single-cycle electrical appliances bdc and low voltage and electrical appliance correction factor α dcdc Calculate the low-voltage and appliance correction ratio factor, K. dcdc =W bdc / W base ×α dcdc .
[0148] Based on the first and second embodiments of this application, in the third embodiment of this application, the content that is the same as or similar to that in Embodiments 1 and 2 described above can be referred to the above description and will not be repeated hereafter. Based on this, please refer to... Figure 3 Step S301 includes steps S3011 to S3015:
[0149] Step S3011: Based on the constant speed driving data, obtain the highest vehicle speed, lowest vehicle speed, and speed deviation value in each speed segment.
[0150] It should be noted that the driving stability equation is related to the electric drive energy consumption correction coefficient, the relative deviation of each speed in the vehicle speed range, and the vehicle speed data in the constant speed driving data. Therefore, the maximum and minimum vehicle speeds in each speed range can be obtained from the constant speed driving data.
[0151] The speed deviation value for each speed segment is the absolute value of the relative deviation for that speed segment, di, which can be calculated based on the average vehicle speed: di = |(v i -v avg ) / v avg |
[0152] Step S3012: Obtain the electric drive energy consumption correction coefficient and the number of speed segments for each vehicle speed segment.
[0153] Understandably, the electric drive energy consumption correction coefficient P can be defined in advance. Based on different speed ranges, different models of electric drives, and empirical judgment, P should be defined as different values, which represent the degree of difference in energy consumption of the electric drive depending on whether the speed is stable. When P=0, it means that the electric drive has no energy loss at all when the speed fluctuates.
[0154] Specifically, electric drive energy consumption correction coefficients for different vehicle speed ranges can be obtained. For low-speed ranges, the electric drive energy consumption correction coefficient P = 0.05; for medium-speed ranges, P = 0.1; and for high-speed ranges, P = 0.2. The number of speed ranges, N, represents the number of vehicle speed data points in a 60-second constant-speed driving segment.
[0155] Step S3013: Calculate the sum of speed deviation values based on the speed deviation values.
[0156] It should be noted that the total speed deviation S can be calculated based on the speed deviation values.
[0157] Step S3014: Calculate the maximum sum based on the maximum vehicle speed, the minimum vehicle speed, and the number of speed segments.
[0158] In practical implementation, the maximum sum SUM can be calculated based on the maximum vehicle speed, the minimum vehicle speed, and the number of speed segments N. max The calculation is as follows:
[0159] SUM max =N×(V) max / V min -1) / (2+V max / V min )
[0160] Among them, V max V is the maximum speed. min N represents the minimum speed, and N represents the number of speed ranges.
[0161] Step S3015: Calculate the driving stability rate of different speed segments based on the sum of the speed deviation values, the maximum sum, and the electric drive energy consumption correction coefficient for each speed segment.
[0162] In practical implementation, the total speed deviation value S and the maximum total value SUM can be used as the basis. max The driving stability rate at different speed ranges is calculated using the electric drive energy consumption correction coefficient P for each speed range. The driving stability rate equation is expressed as follows:
[0163] γ = 1 - (P - 0.03) × S / SUM max
[0164] The value of P varies at different speed ranges, thus providing the driving stability rate at low speeds, medium speeds, and high speeds.
[0165] This embodiment obtains the maximum and minimum vehicle speeds for each speed segment, as well as the speed deviation values within each speed segment, based on the constant-speed driving data; acquires the electric drive energy consumption correction coefficient and the number of speed segments for each speed segment; calculates the sum of speed deviation values based on the speed deviation values; calculates the maximum sum based on the maximum vehicle speed, the minimum vehicle speed, and the number of speed segments; and calculates the driving stability rate for different speed segments based on the sum of speed deviation values, the maximum sum, and the electric drive energy consumption correction coefficient for each speed segment. The method provided in this embodiment comprehensively considers multiple factors such as the maximum and minimum vehicle speeds, speed deviation values, electric drive energy consumption correction coefficients, and the number of speed segments for each speed segment, thereby ensuring the comprehensiveness and accuracy of the driving stability rate calculation. This provides more reliable data support for electric vehicle range prediction. As an important indicator reflecting the driving stability of electric vehicles, the accurate calculation of the driving stability rate has a significant impact on the accuracy of range prediction. The method provided in this embodiment can more accurately assess the driving stability of electric vehicles under different operating conditions, thus providing a more accurate data foundation for range prediction.
[0166] Based on the first and second embodiments of this application, in the fourth embodiment of this application, the content that is the same as or similar to that in embodiments one and two above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 4 Step S303 includes steps S3031 to S3034:
[0167] Step S3031: Based on the power consumption data of the electrical appliances, obtain the first low-voltage power consumption and the total duration of the first operating condition when the electric vehicle travels a preset mileage within a range greater than the first vehicle speed value and less than or equal to the second vehicle speed value; the second low-voltage power consumption and the total duration of the second operating condition when the electric vehicle travels a preset mileage within a range greater than the second vehicle speed value and less than or equal to the third vehicle speed value; and the third low-voltage power consumption and the total duration of the third operating condition when the electric vehicle travels a preset mileage within a range greater than the third vehicle speed value and less than or equal to the fourth vehicle speed value.
[0168] It should be noted that the first speed value is 0 kph, the second speed value is 50 kph, the third speed value is 80 kph, and the fourth speed value is 120 kph. When the electric vehicle travels within the range of the first speed value and less than or equal to the second speed value, it indicates that the speed is in the low-speed range. The preset mileage is set to 100 km, but it can also be set to other values; this embodiment does not impose any restrictions on this. When the electric vehicle travels within the range of the second speed value and less than or equal to the third speed value, it indicates that the speed is in the medium-speed range. When the electric vehicle travels within the range of the third speed value and less than or equal to the fourth speed value, it indicates that the speed is in the high-speed range.
[0169] In practical implementation, the first low-voltage power consumption (W) under the driving conditions of the vehicle within the speed range of 0 kph < V ≤ 50 kph over a period of nearly 100 km can be obtained based on recent vehicle driving conditions. Da And the total duration T of the first working condition Da And obtain the second low-voltage power consumption W under the driving conditions of nearly 100km with a vehicle speed range of 50kph<V≤80kph. Db and the total duration T of the second working condition Db Obtain the low-voltage power consumption (W) under driving conditions of approximately 100km / h with a vehicle speed range of 80kph < V ≤ 120kph. Dc and total operating time T Dc .
[0170] Step S3032: Calculate the average power of the first low-voltage electrical appliance based on the first low-voltage power consumption and the total duration of the first operating condition; calculate the average power of the second low-voltage electrical appliance based on the second low-voltage power consumption and the total duration of the second operating condition; and calculate the average power of the third low-voltage electrical appliance based on the third low-voltage power consumption and the total duration of the third operating condition.
[0171] In practical implementation, the average power of the first low-voltage electrical appliance can be calculated based on the first low-voltage power consumption and the total duration of the first operating condition. The average power P of the first low-voltage electrical appliance Da =W Da / T Da The average power of the second low-voltage electrical appliances is calculated based on the second low-voltage power consumption and the total duration of the second operating condition. The average power P of the second low-voltage electrical appliances is... Db =W Db / T Db The average power of the third low-voltage electrical appliances is calculated based on the third low-voltage power consumption and the total duration of the third operating condition. The average power P of the third low-voltage electrical appliances is calculated. Dc =W Dc / T Dc .
[0172] Step S3033: Obtain the standard power consumption of electrical appliances at different vehicle speeds and obtain the weight ratio of different vehicle speeds.
[0173] It should be noted that the standard power consumption is P. base The standard power consumption varies at different vehicle speeds. Therefore, the standard power consumption of electrical appliances at different vehicle speeds can be obtained, including the standard power consumption P at low speeds. basea Standard power consumption P in medium-speed range baseb and the standard power consumption P of the high-speed section basecThe weighting of different speed ranges is pre-set, specifically the weighting of the mileage traveled at different speed ranges relative to the total mileage. That is, the weighting of low speed range is 16.92%, medium speed range is 40.81%, and high speed range is 42.27%. The specific weighting can be adjusted according to actual conditions or individual needs.
[0174] Step S3034: Calculate the low-voltage and appliance correction coefficients based on the average power of the first low-voltage appliance, the average power of the second low-voltage appliance, the average power of the third low-voltage appliance, the standard power consumption at different vehicle speeds, and the weighting percentage.
[0175] In practical implementation, the correction coefficients for low-voltage and electrical appliances can be calculated based on the average power of the first, second, and third low-voltage electrical appliances, as well as the standard power consumption and weighting percentage of the corresponding vehicle speed range. The calculation is as follows:
[0176] α dcdc =P Da / P basea ×16.92%+P Db / P baseb ×40.81%+P Dc / P basec ×42.27%
[0177] The correction factor α for low voltage and electrical appliances can be calculated using the above formula. dcdc .
[0178] This embodiment obtains the first low-voltage power consumption and the total duration of the first operating condition when the electric vehicle travels a preset mileage within a range greater than a first speed value and less than or equal to a second speed value, the second low-voltage power consumption and the total duration of the second operating condition when the electric vehicle travels a preset mileage within a range greater than a second speed value and less than or equal to a third speed value, and the third low-voltage power consumption and the total duration of the third operating condition when the electric vehicle travels a preset mileage within a range greater than a third speed value and less than or equal to a fourth speed value, based on the power consumption data of the electrical appliances. It calculates the average power of the first low-voltage electrical appliance based on the first low-voltage power consumption and the total duration of the first operating condition, the average power of the second low-voltage electrical appliance based on the second low-voltage power consumption and the total duration of the second operating condition, and the average power of the third low-voltage electrical appliance based on the third low-voltage power consumption and the total duration of the third operating condition. It obtains the standard power consumption of the electrical appliances at different speed ranges and the weighting percentages for different speed ranges. It calculates low-voltage and electrical appliance correction coefficients based on the average power of the first low-voltage electrical appliance, the average power of the second low-voltage electrical appliance, the average power of the third low-voltage electrical appliance, the standard power consumption at different speed ranges, and the weighting percentages. By comprehensively considering the usage of low-voltage electrical appliances in electric vehicles at different speed ranges, including low-voltage power consumption, total operating time, and average power, the energy consumption of low voltage and electrical appliances can be more accurately assessed. The low-voltage and electrical appliance correction coefficient, as an important indicator reflecting the energy consumption of the electric vehicle's low-voltage system, also significantly impacts the accuracy of range prediction. The method provided in this embodiment allows for more accurate calculation of the low-voltage and electrical appliance correction coefficient, thus providing a more accurate data foundation for range prediction.
[0179] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the method for determining the standard driving range of electric vehicles in this application. Any simple modifications based on this technical concept are within the protection scope of this application.
[0180] This application also provides a device for determining the standard driving range of an electric vehicle; please refer to [reference needed]. Figure 5 The electric vehicle standard operating condition range determination device includes:
[0181] The acquisition module 10 is used to acquire power consumption data, driving data, electrical appliance power consumption data, and battery health value of electric vehicles under standard operating conditions during test cycles.
[0182] The filtering module 20 is used to filter the driving data to obtain the constant speed driving data of the electric vehicle at different speed ranges.
[0183] The calculation module 30 is used to calculate multiple correction ratio coefficients based on the constant speed driving data, the power consumption data of the electrical appliances, and the power consumption data.
[0184] The update module 40 is used to update the standard driving range of the vehicle based on multiple correction ratio coefficients and the battery health value, so as to obtain the standard driving range of the electric vehicle under standard operating conditions.
[0185] The electric vehicle standard operating condition range determination device provided in this application adopts the electric vehicle standard operating condition range determination method in the above embodiments, which can solve the technical problem that the current range correction is not accurate enough. Compared with the prior art, the beneficial effects of the electric vehicle standard operating condition range determination device provided in this application are the same as the beneficial effects of the electric vehicle standard operating condition range determination method provided in the above embodiments, and other technical features in the electric vehicle standard operating condition range determination device are the same as the features disclosed in the methods of the above embodiments, and will not be repeated here.
[0186] In one embodiment, the multiple correction ratio coefficients include: multiple vehicle speed segment correction ratio coefficients and low voltage and electrical appliance correction ratio coefficients. The calculation module 30 is further configured to calculate the driving stability rate of different vehicle speed segments based on the constant speed driving data; calculate multiple vehicle speed segment correction coefficients based on the driving stability rate of different vehicle speed segments; calculate low voltage and electrical appliance correction coefficients based on the electrical appliance power consumption data; calculate multiple vehicle speed segment correction ratio coefficients based on the power consumption data and the multiple vehicle speed segment correction coefficients; and calculate low voltage and electrical appliance correction ratio coefficients based on the power consumption data and the low voltage and electrical appliance correction coefficients.
[0187] In one embodiment, the calculation module 30 is further configured to obtain the highest vehicle speed, the lowest vehicle speed, and the speed deviation value in each speed segment based on the constant speed driving data.
[0188] Obtain the electric drive energy consumption correction coefficient and the number of speed segments for each vehicle speed segment;
[0189] Calculate the sum of the speed deviation values based on the aforementioned speed deviation values;
[0190] The maximum sum is calculated based on the maximum vehicle speed, the minimum vehicle speed, and the number of speed segments;
[0191] The driving stability rate for different speed ranges is calculated based on the sum of the speed deviation values, the maximum sum, and the electric drive energy consumption correction coefficient for each speed range.
[0192] In one embodiment, the calculation module 30 is further configured to obtain, based on the electrical appliance power consumption data, the first low-voltage power consumption and the first operating condition total duration when the electric vehicle travels a preset mileage within a range greater than a first vehicle speed value and less than or equal to a second vehicle speed value, the second low-voltage power consumption and the second operating condition total duration when the electric vehicle travels a preset mileage within a range greater than a second vehicle speed value and less than or equal to a third vehicle speed value, and the third low-voltage power consumption and the third operating condition total duration when the electric vehicle travels a preset mileage within a range greater than a third vehicle speed value and less than or equal to a fourth vehicle speed value;
[0193] The average power of the first low-voltage electrical appliance is calculated based on the first low-voltage power consumption and the total duration of the first operating condition; the average power of the second low-voltage electrical appliance is calculated based on the second low-voltage power consumption and the total duration of the second operating condition; and the average power of the third low-voltage electrical appliance is calculated based on the third low-voltage power consumption and the total duration of the third operating condition.
[0194] Obtain the standard power consumption of electrical appliances at different vehicle speeds and the weighting percentage of different vehicle speeds;
[0195] The low-voltage and appliance correction coefficients are calculated based on the average power of the first low-voltage appliance, the average power of the second low-voltage appliance, the average power of the third low-voltage appliance, the standard power consumption at different vehicle speeds, and the weighting percentage.
[0196] In one embodiment, the calculation module 30 is further configured to obtain the average power consumption of a single-cycle battery under standard operating conditions, the average power consumption of a low-speed motor, the average power consumption of a medium-speed motor, and the average power consumption of a high-speed motor based on the power consumption data.
[0197] The low-speed range correction coefficient, medium-speed range correction coefficient, and high-speed range correction coefficient are obtained based on the multiple speed range correction coefficients mentioned above;
[0198] The low-speed correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the low-speed motor, and the low-speed correction coefficient.
[0199] The mid-speed correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the mid-speed motor, and the mid-speed correction coefficient.
[0200] Calculate the high-speed section correction ratio coefficient based on the average power consumption of the single-cycle battery, the average power consumption of the high-speed section motor, and the high-speed section correction coefficient;
[0201] Multiple vehicle speed range correction ratios are obtained based on the low-speed range correction ratio, the medium-speed range correction ratio, and the high-speed range correction ratio.
[0202] In one embodiment, the calculation module 30 is further configured to obtain the average power consumption of a single-cycle battery and the average power consumption of a single-cycle electrical appliance under standard operating conditions based on the power consumption data.
[0203] The low-voltage and appliance correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the single-cycle electrical appliance, and the low-voltage and appliance correction coefficient.
[0204] In one embodiment, the filtering module 20 is further configured to filter the driving data to obtain uniform speed driving data segments;
[0205] Obtain the highest and lowest vehicle speeds in the constant-speed driving data segment;
[0206] When the continuous duration of the highest vehicle speed or the lowest vehicle speed is greater than a preset continuous duration and the ratio between the highest vehicle speed and the lowest vehicle speed is less than or equal to a preset ratio value, the average vehicle speed of the uniform speed driving data segment is calculated.
[0207] When the average vehicle speed is greater than the first vehicle speed value and less than or equal to the second vehicle speed value, the uniform speed driving data segment is defined as a uniform low speed segment.
[0208] When the average vehicle speed is greater than the second vehicle speed value and less than or equal to the third vehicle speed value, the uniform speed driving data segment is defined as the uniform speed medium speed segment.
[0209] When the average vehicle speed is greater than the third vehicle speed value and less than or equal to the fourth vehicle speed value, the uniform speed driving segment is defined as a uniform speed high speed segment.
[0210] The uniform speed driving data of the electric vehicle at different speed ranges are obtained based on the uniform low speed range, the uniform medium speed range, and the uniform high speed range.
[0211] In one embodiment, the update module 40 is further configured to compare the standard driving range of the electric vehicle with the standard driving range of the vehicle to obtain a comparison result;
[0212] When the comparison result shows that the standard driving range of the electric vehicle is less than the standard driving range of the vehicle, a driving suggestion is generated, and the driver is reminded according to the driving suggestion so that the driver can adjust the driving data according to the driving suggestion when performing a test cycle under standard conditions.
[0213] This application provides a device for determining the standard driving range of an electric vehicle. The device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for determining the standard driving range of an electric vehicle in the first embodiment described above.
[0214] The following is for reference. Figure 6 This document illustrates a structural schematic diagram of an electric vehicle standard operating condition range determination device suitable for implementing embodiments of this application. The electric vehicle standard operating condition range determination device in embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The electric vehicle standard operating range determination device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.
[0215] like Figure 6As shown, the electric vehicle standard operating condition range determination device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in ROM (Read Only Memory) 1002 or a program loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the electric vehicle standard operating condition range determination device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, LCDs (Liquid Crystal Displays), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the electric vehicle standard driving range determination device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows an electric vehicle standard driving range determination device with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.
[0216] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.
[0217] The electric vehicle standard operating condition range determination device provided in this application adopts the electric vehicle standard operating condition range determination method in the above embodiments, which can solve the technical problem that the current range correction is not accurate enough. Compared with the prior art, the beneficial effects of the electric vehicle standard operating condition range determination device provided in this application are the same as the beneficial effects of the electric vehicle standard operating condition range determination method provided in the above embodiments, and other technical features in the electric vehicle standard operating condition range determination device are the same as the features disclosed in the method of the previous embodiment, and will not be repeated here.
[0218] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.
[0219] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.
[0220] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the electric vehicle standard operating condition range determination method in the above embodiments.
[0221] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable Read Only Memory or Flash Memory), optical fibers, CD-ROM (CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.
[0222] The aforementioned computer-readable storage medium may be included in the electric vehicle standard operating condition range determination device; or it may exist independently and not be installed in the electric vehicle standard operating condition range determination device.
[0223] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the electric vehicle standard operating condition range determination device, the electric vehicle standard operating condition range determination device: acquires power consumption data, driving data, electrical appliance power consumption data, and battery health value of the electric vehicle during a test cycle under standard operating conditions; filters the driving data to obtain constant speed driving data of the electric vehicle at different speed ranges; calculates multiple correction ratio coefficients based on the constant speed driving data, the electrical appliance power consumption data, and the power consumption data; and updates the vehicle's standard driving range value according to the multiple correction ratio coefficients and the battery health value to obtain the electric vehicle standard operating condition range.
[0224] Computer program code for performing the operations of this application can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, as well as conventional procedural programming languages such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including LAN (Local Area Network) or WAN (Wide Area Network)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0225] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.
[0226] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.
[0227] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described method for determining the standard driving range of electric vehicles, thereby solving the technical problem that current range correction is not accurate enough. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the electric vehicle standard driving range determination method provided in the above embodiments, and will not be repeated here.
[0228] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the method for determining the standard driving range of an electric vehicle as described above.
[0229] The computer program product provided in this application can solve the technical problem that the current range correction is not accurate enough. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the electric vehicle standard operating condition range determination method provided in the above embodiments, and will not be repeated here.
[0230] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.
Claims
1. A method for determining the standard driving range of an electric vehicle, characterized in that, The method for determining the standard driving range of electric vehicles includes: Acquire power consumption data, driving data, electrical appliance power consumption data, and battery health value of electric vehicles under standard operating conditions during test cycles; The driving data is filtered to obtain the constant speed driving data of the electric vehicle at different speed ranges; Based on the constant speed driving data, the power consumption data of the electrical appliances, and the power consumption data, multiple correction ratio coefficients are calculated; The standard driving range of the vehicle is updated based on multiple correction ratios and the battery health value to obtain the standard driving range of the electric vehicle under standard operating conditions.
2. The method as described in claim 1, characterized in that, Multiple correction ratios include: correction ratios for multiple vehicle speed ranges and correction ratios for low voltage and electrical appliances; The step of calculating multiple correction ratio coefficients based on the constant speed driving data, the electrical appliance power consumption data, and the power consumption data includes: The driving stability rate at different speed ranges is calculated based on the constant speed driving data. Calculate correction coefficients for multiple speed ranges based on the driving stability rate of different speed ranges; Calculate the low-voltage and appliance correction coefficients based on the power consumption data of the appliances; Calculate multiple speed segment correction ratio coefficients based on the power consumption data and multiple speed segment correction coefficients; The low-voltage and appliance correction ratio coefficient is calculated based on the power consumption data and the low-voltage and appliance correction coefficient.
3. The method as described in claim 2, characterized in that, The steps for calculating the driving stability rate at different speed ranges based on the constant speed driving data include: Based on the constant speed driving data, the highest speed, the lowest speed, and the speed deviation value in each speed segment are obtained; Obtain the electric drive energy consumption correction coefficient and the number of speed segments for each vehicle speed segment; Calculate the sum of the speed deviation values based on the aforementioned speed deviation values; The maximum sum is calculated based on the maximum vehicle speed, the minimum vehicle speed, and the number of speed segments; The driving stability rate for different speed ranges is calculated based on the sum of the speed deviation values, the maximum sum, and the electric drive energy consumption correction coefficient for each speed range.
4. The method as described in claim 2, characterized in that, The step of calculating the low voltage and appliance correction coefficient based on the appliance power consumption data includes: Based on the power consumption data of the electrical appliances, the following data are obtained: the first low-voltage power consumption and the total duration of the first operating condition when the electric vehicle travels a preset mileage within a range greater than the first vehicle speed value and less than or equal to the second vehicle speed value; the second low-voltage power consumption and the total duration of the second operating condition when the electric vehicle travels a preset mileage within a range greater than the second vehicle speed value and less than or equal to the third vehicle speed value; and the third low-voltage power consumption and the total duration of the third operating condition when the electric vehicle travels a preset mileage within a range greater than the third vehicle speed value and less than or equal to the fourth vehicle speed value. The average power of the first low-voltage electrical appliance is calculated based on the first low-voltage power consumption and the total duration of the first operating condition; the average power of the second low-voltage electrical appliance is calculated based on the second low-voltage power consumption and the total duration of the second operating condition; and the average power of the third low-voltage electrical appliance is calculated based on the third low-voltage power consumption and the total duration of the third operating condition. Obtain the standard power consumption of electrical appliances at different vehicle speeds and the weighting percentage of different vehicle speeds; The low-voltage and appliance correction coefficients are calculated based on the average power of the first low-voltage appliance, the average power of the second low-voltage appliance, the average power of the third low-voltage appliance, the standard power consumption at different vehicle speeds, and the weighting percentage.
5. The method as described in claim 2, characterized in that, The step of calculating the multiple speed range correction ratio coefficients based on the power consumption data and the multiple speed range correction coefficients includes: Based on the power consumption data, the average power consumption of a single-cycle battery under standard operating conditions, the average power consumption of the low-speed motor, the average power consumption of the medium-speed motor, and the average power consumption of the high-speed motor are obtained. The low-speed range correction coefficient, medium-speed range correction coefficient, and high-speed range correction coefficient are obtained based on the multiple speed range correction coefficients mentioned above; The low-speed correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the low-speed motor, and the low-speed correction coefficient. The mid-speed correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the mid-speed motor, and the mid-speed correction coefficient. Calculate the high-speed section correction ratio coefficient based on the average power consumption of the single-cycle battery, the average power consumption of the high-speed section motor, and the high-speed section correction coefficient; Multiple vehicle speed range correction ratios are obtained based on the low-speed range correction ratio, the medium-speed range correction ratio, and the high-speed range correction ratio.
6. The method as described in claim 2, characterized in that, The step of calculating the low-voltage and appliance correction ratio coefficient based on the power consumption data and the low-voltage and appliance correction coefficient includes: Based on the power consumption data, the average power consumption of a single-cycle battery and the average power consumption of a single-cycle electrical appliance under standard operating conditions are obtained. The low-voltage and appliance correction ratio coefficient is calculated based on the average power consumption of the single-cycle battery, the average power consumption of the single-cycle electrical appliance, and the low-voltage and appliance correction coefficient.
7. The method as described in claim 1, characterized in that, The step of filtering the driving data to obtain constant speed driving data of electric vehicles at different speed ranges includes: The driving data is filtered to obtain a uniform speed driving data segment; Obtain the highest and lowest vehicle speeds in the constant-speed driving data segment; When the continuous duration of the highest vehicle speed or the lowest vehicle speed is greater than a preset continuous duration and the ratio between the highest vehicle speed and the lowest vehicle speed is less than or equal to a preset ratio value, the average vehicle speed of the uniform speed driving data segment is calculated. When the average vehicle speed is greater than the first vehicle speed value and less than or equal to the second vehicle speed value, the uniform speed driving data segment is defined as a uniform low speed segment. When the average vehicle speed is greater than the second vehicle speed value and less than or equal to the third vehicle speed value, the uniform speed driving data segment is defined as the uniform speed medium speed segment. When the average vehicle speed is greater than the third vehicle speed value and less than or equal to the fourth vehicle speed value, the uniform speed driving segment is defined as a uniform speed high speed segment. The uniform speed driving data of the electric vehicle at different speed ranges are obtained based on the uniform low speed range, the uniform medium speed range, and the uniform high speed range.
8. The method according to any one of claims 1 to 6, characterized in that, After the step of updating the vehicle's standard driving range based on multiple correction ratios and the battery health value to obtain the standard driving range of the electric vehicle, the method further includes: The standard driving range of the electric vehicle under standard operating conditions is compared with the standard driving range of the vehicle to obtain the comparison result; When the comparison result shows that the standard driving range of the electric vehicle is less than the standard driving range of the vehicle, a driving suggestion is generated, and the driver is reminded according to the driving suggestion so that the driver can adjust the driving data according to the driving suggestion when performing a test cycle under standard conditions.
9. A device for determining the standard driving range of an electric vehicle, characterized in that, The device includes: The acquisition module is used to acquire power consumption data, driving data, electrical appliance power consumption data, and battery health value of electric vehicles under standard operating conditions during test cycles. The filtering module is used to filter the driving data to obtain the constant speed driving data of the electric vehicle at different speed ranges. The calculation module is used to calculate multiple correction ratio coefficients based on the constant speed driving data, the electrical appliance power consumption data, and the power consumption data; The update module is used to update the standard driving range of the vehicle based on multiple correction ratio coefficients and the battery health value, so as to obtain the standard driving range of the electric vehicle under standard operating conditions.
10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the method for determining the standard driving range of an electric vehicle as described in any one of claims 1 to 8.