A test and evaluation system for comprehensive vehicle energy efficiency level of electric vehicles

Abstract

The application provides a kind of electric vehicle comprehensive vehicle energy efficiency grade test and evaluation system, system includes test module, test module is configured to test target electric vehicle under multiple environmental temperature scenarios and multiple working condition structures, and real-time acquisition target electric vehicle discharge capacity and driving range in each test stage;Data processing module, data processing module is configured to calculate the unit mileage energy consumption of target electric vehicle in each test stage according to discharge capacity and driving range, and calculate the comprehensive energy efficiency value according to the preset working condition weight and environmental weight, and output the comprehensive energy efficiency grade of target electric vehicle according to predetermined energy efficiency classification rule.The application solves the problems of single evaluation dimension, lack of horizontal comparability and static classification lag in the existing electric vehicle evaluation system through the above system.

Description

Technical Field

[0001] This invention relates to the field of transportation technology, and in particular to a comprehensive vehicle energy efficiency rating testing and evaluation system for electric vehicles. Background Technology

[0002] With the rapid development of the electric vehicle industry, the market share of pure electric vehicles continues to grow. However, in actual use, the overall energy efficiency of pure electric vehicles is significantly affected by a variety of factors. For example, differences in ambient temperature in different regions, different driving habits of users, and changes in road conditions can all lead to a significant discrepancy between the actual energy consumption of the vehicle and the ideal energy consumption advertised by the manufacturer.

[0003] Currently, the industry's evaluation methods for electric vehicle energy efficiency are relatively simplistic, typically based solely on test results under specific conditions. This approach fails to adequately consider users' actual energy consumption experiences in diverse driving environments, making it difficult to intuitively and clearly compare the energy efficiency differences between different models under comprehensive usage scenarios. This not only creates information asymmetry for users when choosing electric vehicles but also easily leads to cognitive biases regarding vehicle performance, thus hindering the healthy promotion and application development of the industry to some extent. Summary of the Invention

[0004] This application provides a comprehensive vehicle energy efficiency rating testing and evaluation system for electric vehicles to address the problems of existing electric vehicle evaluation systems, such as a single evaluation dimension, lack of horizontal comparability, and lagging static grading.

[0005] The system includes: The test module is configured to test the target electric vehicle under multiple ambient temperature scenarios and multiple operating conditions, and to collect the discharge amount and driving range of the target electric vehicle in real time at each test stage. The data processing module is configured to calculate the energy consumption per unit mileage of the target electric vehicle in each test stage based on the discharge amount and driving mileage, calculate the comprehensive energy efficiency value based on preset operating condition weights and environmental weights, and output the comprehensive energy efficiency level of the target electric vehicle according to predetermined energy efficiency grading rules.

[0006] In some implementations, the test module includes: A high and low temperature environment chamber, configured to provide a controllable multi-temperature environment for the target electric vehicle; A test bench configured to simulate different driving conditions, thereby providing a testing environment for the target electric vehicle; A power analyzer or an onboard CAN bus interface, which is configured to record the discharge data of the target electric vehicle in real time.

[0007] In some implementations, the multiple ambient temperature scenarios include a normal temperature range, a high temperature range, and a low temperature range; the multiple operating condition structure includes dynamic driving conditions and constant speed driving conditions.

[0008] In some embodiments, the data processing module includes: The working condition weighting unit is configured to calculate the weighted comprehensive energy consumption of the target electric vehicle under three temperature scenarios: normal temperature, high temperature and low temperature, according to preset dynamic working condition weights and constant speed working condition weights. An environmental weighting unit is configured to perform a secondary weighting on the weighted comprehensive energy consumption under the three temperature scenarios according to preset room temperature weight, high temperature weight, and low temperature weight, so as to obtain the comprehensive energy efficiency value. A level determination unit is configured to compare the comprehensive energy efficiency value with a pre-stored energy efficiency level threshold and output the corresponding energy efficiency level.

[0009] In some implementations, the data processing module further includes a database unit configured to store energy consumption data of multiple electric vehicles of the same type. The level determination unit is also configured to dynamically update the energy efficiency level threshold based on the sorting results of the data stored in the database unit.

[0010] In some implementations, the level determination unit is further configured to: Sort the weighted comprehensive energy consumption at normal temperature of all vehicles in the same category database in ascending order of value, and determine the first quantile threshold and the second quantile threshold. The room temperature weighted comprehensive energy consumption of the target electric vehicle is compared with the first quantile threshold and the second quantile threshold to obtain the room temperature energy efficiency level; and in the same way, it is sorted by high temperature weighted comprehensive energy consumption and low temperature weighted comprehensive energy consumption to obtain the high temperature energy efficiency level and the low temperature energy efficiency level.

[0011] In some implementations, the values ​​of the dynamic operating condition weight and the constant speed operating condition weight are set according to the vehicle use type; the vehicle use type includes passenger cars, passenger commercial vehicles, light commercial vehicles, buses, trucks and semi-trailer tractors.

[0012] In some implementations, the values ​​of the ambient temperature weight, high temperature weight, and low temperature weight are set according to the climate characteristics of the registration area of ​​the target electric vehicle.

[0013] In some implementations, the test module is also configured to keep the automatic air conditioning of the target electric vehicle running throughout the high-temperature and low-temperature tests to simulate real-world driving conditions.

[0014] In some implementations, the data processing module is also configured to recalculate and update the energy efficiency level threshold after each new vehicle test.

[0015] As can be seen from the above, this application has the following advantages: A comprehensive testing and evaluation system covering multiple temperature scenarios and multiple operating conditions has been established to make energy efficiency evaluation more closely resemble real-world vehicle usage environments. By using a two-level weighted calculation, differentiated adaptations were achieved for vehicles of different uses and in different regional climates, thereby enhancing the universality and fairness of the evaluation results. A dynamic database update mechanism is introduced to adjust the energy efficiency level thresholds in real time as the sample size increases, ensuring the scientific nature, timeliness, and adaptability of the level classification. The system enables the comprehensive energy efficiency of vehicles across different models, uses, and regions to be detectable, quantifiable, and comparable, effectively eliminating information asymmetry and promoting the healthy development of the industry. Attached Figure Description

[0016] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of a comprehensive vehicle energy efficiency level testing and evaluation system for electric vehicles according to this application; Figure 2 This is a schematic diagram of the test module in the comprehensive vehicle energy efficiency level testing and evaluation system for electric vehicles according to this application; Figure 3 This is a schematic diagram of the data processing module in a comprehensive vehicle energy efficiency rating testing and evaluation system for electric vehicles according to this application. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be noted that the brief descriptions of terms in this application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise stated, these terms should be understood in their ordinary and common meaning.

[0020] It should be noted that, in this application, the terms "exemplary" or "for example" are used to indicate that something is being described as an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0021] See Figures 1 to 3 As can be seen, this embodiment provides a comprehensive vehicle energy efficiency level testing and evaluation system for electric vehicles, the system comprising: The testing module is configured to test the target electric vehicle under multiple ambient temperature scenarios and multiple operating conditions, and to collect the discharge amount and driving range of the target electric vehicle in real time at each test stage.

[0022] Specifically, in this embodiment, the testing module is the foundation for the entire system's data acquisition. This module is configured to simulate various real-world driving conditions in a controlled laboratory environment. Specifically, it can create different ambient temperature scenarios, such as normal temperature, high temperature, and low temperature, and simultaneously apply different driving condition structures, such as simulating dynamic driving on urban roads and constant speed driving on highways. Under this combined test matrix of multiple ambient temperature scenarios and multiple driving condition structures, the testing module drives the target electric vehicle to complete a series of preset test procedures. Throughout the testing process, the testing module utilizes high-precision equipment to continuously collect and record two key physical quantities of the target electric vehicle in real time at each test stage (e.g., the normal temperature dynamic segment, the high temperature constant speed segment, etc.): discharge amount and driving range.

[0023] The system also includes: The data processing module is configured to calculate the energy consumption per unit mileage of the target electric vehicle in each test stage based on the discharge amount and driving mileage, calculate the comprehensive energy efficiency value based on preset operating condition weights and environmental weights, and output the comprehensive energy efficiency level of the target electric vehicle according to predetermined energy efficiency grading rules.

[0024] Specifically, in this embodiment, the data processing module receives raw data from the testing module and performs in-depth calculations and analysis. First, based on the collected discharge amount and driving mileage, the module calculates the energy consumption per unit mileage of the target electric vehicle in each specific test phase, expressed in watt-hours per kilometer (Wh / km), which is a fundamental indicator for measuring vehicle energy efficiency. Then, the data processing module invokes two internally preset weighting systems—operating condition weighting and environmental weighting. Operating condition weighting balances the impact of dynamic driving and constant-speed driving on the final energy efficiency, while environmental weighting comprehensively considers the vehicle's energy consumption performance under different temperature environments. By performing these two weighted calculations on the energy consumption per unit mileage in each test phase, the data processing module ultimately obtains a single, comprehensive overall energy efficiency value. Finally, the module compares this comprehensive energy efficiency value with internally pre-stored energy efficiency grading rules (i.e., a set of energy efficiency level thresholds), thereby automatically outputting the comprehensive energy efficiency level of the target electric vehicle, such as Level 1, Level 2, or Level 3.

[0025] The formula for discharge energy consumption is: ; q represents DS and CSS respectively. s represents the discharge amount of this segment, p represents the temperature scenario (1 is normal temperature, 2 is high temperature, 3 is low temperature), and s represents the mileage of this segment.

[0026] Furthermore, in some embodiments, the test module includes: A high and low temperature environment chamber, which is configured to provide a controllable multi-temperature environment for the target electric vehicle.

[0027] Specifically, in this embodiment, the high and low temperature environment chamber is a closed compartment that can precisely control the internal temperature. The high and low temperature environment chamber is configured to provide a stable and adjustable multi-temperature environment to the target electric vehicle placed inside, such as a normal temperature of 23°C, a high temperature of 35°C, and a low temperature of -7°C, thereby simulating the vehicle's operating environment under different seasons and climatic conditions.

[0028] The testing module also includes: A test bench is configured to simulate different driving conditions, thereby providing a testing environment for the target electric vehicle.

[0029] Specifically, in this embodiment, the hub dynamometer is a chassis dynamometer installed in an environmental chamber. It contacts the vehicle's drive wheels via rollers, simulating various resistances (such as air resistance and rolling resistance) encountered by the vehicle while driving on real roads. The hub dynamometer is configured to reproduce different driving condition curves according to a preset program, such as low-speed start-stop conditions representing urban traffic congestion or constant-speed driving conditions representing highways, thereby providing a standardized test load environment for the vehicle.

[0030] The testing module also includes: A power analyzer or an onboard CAN bus interface, which is configured to record the discharge data of the target electric vehicle in real time.

[0031] Specifically, in this embodiment, a power analyzer or an onboard CAN bus interface is a key device for accurately measuring energy consumption. The power analyzer can directly measure the DC or AC power output from the power battery, thereby calculating the discharge amount; while the onboard CAN bus interface can directly read the battery discharge energy data recorded by the vehicle itself by connecting to the vehicle's controller area network. Both can be configured to record the discharge amount data of the target electric vehicle in real time and with high precision throughout the entire test process.

[0032] Furthermore, in some embodiments, the multiple ambient temperature scenarios include a normal temperature range, a high temperature range, and a low temperature range; the multiple operating condition structure includes dynamic driving conditions and constant speed driving conditions.

[0033] Specifically, in this embodiment, the multiple ambient temperature scenarios are divided into three distinct temperature ranges: Normal temperature range: set at 23±5℃ to simulate the driving environment in spring and autumn or mild climate.

[0034] High temperature range: set at 35±2℃ to simulate the driving environment under hot summer weather.

[0035] Low temperature range: set to -7±3℃ to simulate the driving environment in cold winter climate.

[0036] The multi-condition structure is divided into two basic driving modes: Dynamic driving conditions: This refers to the mode of simulating vehicle driving under complex road conditions such as urban roads and suburban roads. Its characteristic is frequent speed changes, including acceleration, deceleration, constant speed, and idling. In this embodiment, dynamic driving conditions are specifically implemented by continuously running two CATC (Automotive Driving Condition) cycles.

[0037] Constant speed driving condition: refers to the mode in which a vehicle travels at a constant speed on a smooth road such as a highway. In this embodiment, the constant speed driving condition specifically means running at a specific constant speed for 0.5 hours. This constant speed varies depending on the vehicle type (for example, 100 km / h for passenger cars with a maximum speed greater than 120 km / h).

[0038] Furthermore, in some embodiments, the data processing module includes: The operating condition weighting unit is configured to calculate the weighted comprehensive energy consumption of the target electric vehicle under three temperature scenarios: normal temperature, high temperature, and low temperature, based on preset dynamic operating condition weights and constant speed operating condition weights.

[0039] Specifically, in this embodiment, the unit is responsible for performing the first-level weighted calculation. It receives dynamic operating condition energy consumption and constant speed operating condition energy consumption of the target electric vehicle under three temperature scenarios: normal temperature, high temperature, and low temperature. Then, based on preset dynamic operating condition weights (denoted as λ) and constant speed operating condition weights (denoted as 1-λ), this unit calculates the weighted comprehensive energy consumption of the target electric vehicle under each temperature scenario. The calculation formula is: ; DS represents dynamic operating conditions, CSS represents constant speed operating conditions, and EC represents energy consumption. Based on this, the weighted comprehensive energy consumption values ​​(ECW1, ECW2, ECW3) are obtained under three temperature scenarios.

[0040] The data processing module further includes: An environmental weighting unit is configured to perform a secondary weighting on the weighted comprehensive energy consumption under the three temperature scenarios based on preset room temperature weight, high temperature weight, and low temperature weight, to obtain the comprehensive energy efficiency value.

[0041] Specifically, in this embodiment, the environmental weighting unit is responsible for performing the second-level weighted calculation. It receives three weighted comprehensive energy consumption values ​​(ECW1, ECW2, ECW3) from the operating condition weighting unit. The environmental weighting unit performs a second weighted summation on these three values ​​based on preset weights for ambient temperature, high temperature, and low temperature (the sum of which is 1), ultimately obtaining a unique comprehensive energy efficiency value. The calculation formula is: ; , , These represent the weights for room temperature, high temperature, and low temperature, respectively.

[0042] The data processing module further includes: A level determination unit is configured to compare the comprehensive energy efficiency value with a pre-stored energy efficiency level threshold and output the corresponding energy efficiency level.

[0043] Specifically, in this embodiment, the energy efficiency rating unit pre-stores a set of energy efficiency rating thresholds, such as a Level 1 energy efficiency threshold P20 and a Level 2 energy efficiency threshold P60. It receives the comprehensive energy efficiency value from the environmental weighting unit and compares it with these thresholds. Based on the comparison result, the rating unit automatically outputs the energy efficiency rating corresponding to the target electric vehicle (e.g., if the comprehensive energy efficiency value ≤ P20, it is rated as Level 1 energy efficiency).

[0044] Furthermore, in some embodiments, the data processing module further includes a database unit configured to store energy consumption data of multiple electric vehicles of the same type; The level determination unit is also configured to dynamically update the energy efficiency level threshold based on the sorting results of the data stored in the database unit.

[0045] Specifically, in this embodiment, the database unit is a module specifically designed for storing and managing data. It is configured to persistently store complete energy consumption data for multiple electric vehicles of the same category as the target electric vehicle (e.g., passenger cars). This data includes not only the final energy efficiency rating but, more importantly, intermediate data from the calculation process, such as weighted comprehensive energy consumption (ECW1, ECW2, ECW3) under various temperature scenarios.

[0046] The functionality of the energy efficiency rating unit has been significantly enhanced. It no longer relies solely on a fixed set of static thresholds, but is configured to dynamically update its internal energy efficiency rating thresholds based on the statistical sorting results of all data stored in the database unit. This means that whenever new vehicle test data is stored in the database, the rating unit automatically triggers a recalculation, redefining the boundary lines for each energy efficiency level based on the expanded sample set.

[0047] Furthermore, in some embodiments, the level determination unit is further configured to: Sort the weighted comprehensive energy consumption at normal temperature of all vehicles in the same category database in ascending order of value, and determine the first quantile threshold and the second quantile threshold. The room temperature weighted comprehensive energy consumption of the target electric vehicle is compared with the first quantile threshold and the second quantile threshold to obtain the room temperature energy efficiency level; and in the same way, it is sorted by high temperature weighted comprehensive energy consumption and low temperature weighted comprehensive energy consumption to obtain the high temperature energy efficiency level and the low temperature energy efficiency level.

[0048] Specifically, in this embodiment, the level determination unit is configured to perform the following operations: Quantile sorting and threshold determination: First, retrieve the normal-temperature weighted comprehensive energy consumption (ECW1) data of all vehicles of the same category as the target electric vehicle from the database unit. Sort these data in ascending order of numerical value. Then, based on this sorted dataset, two key statistical quantiles are determined: the first quantile threshold (P20) and the second quantile threshold (P60). Herein, P20 is the energy consumption value located at the top 20% position after sorting, and P60 is the energy consumption value located at the top 60% position after sorting.

[0049] Normal-temperature energy efficiency grade determination: Compare the normal-temperature weighted comprehensive energy consumption (ECW1) of the target electric vehicle itself with the P20 and P60 thresholds determined above: If ECW1 ≤ P20, it is determined that the vehicle is of the first-level energy efficiency at normal temperature.

[0050] If P20 < ECW1 ≤ P60, it is determined that the vehicle is of the second-level energy efficiency at normal temperature.

[0051] If ECW1 > P60, it is determined that the vehicle is of the third-level energy efficiency at normal temperature.

[0052] High-temperature and low-temperature energy efficiency grade determination: Repeat all the above steps completely, but replace the data source with the high-temperature weighted comprehensive energy consumption (ECW2) data and the low-temperature weighted comprehensive energy consumption (ECW3) data in the database respectively. According to the same sorting and quantile comparison logic, the high-temperature energy efficiency grade and the low-temperature energy efficiency grade of the target electric vehicle are obtained respectively.

[0053] Further, in some embodiments, the values of the dynamic operating condition weight and the constant-speed operating condition weight are set according to the vehicle usage type; the vehicle usage type includes private passenger vehicles, commercial passenger vehicles, light commercial vehicles, buses, trucks and semi-trailer tractors.

[0054] Specifically, in this embodiment, the basis for the values of the dynamic operating condition weight (λ) and the constant-speed operating condition weight (1-λ) used by the operating condition weighting unit is defined.

[0055] The values of these two weights are not fixed, but are set differentially according to the usage type of the tested vehicle. Different types of vehicles have completely different daily driving road condition characteristics and usage patterns, so the proportions of dynamic operating conditions and constant-speed operating conditions in their total driving mileage should also be different.

[0056] The vehicle usage types defined in this embodiment include but are not limited to the following types, and corresponding dynamic operating condition weight (λ) values are recommended for each type: Private passenger vehicle: λ=0.7. This type of vehicle is mainly used for daily commuting and leisure travel, with more driving on urban roads, but also includes a certain proportion of expressway trips.

[0057] Passenger vehicles used for commercial purposes (such as taxis and ride-hailing vehicles): λ=0.9. These vehicles mainly cruise and pick up passengers in urban areas, and their operation in urban conditions with low speeds and frequent starts and stops accounts for a very high percentage.

[0058] Light commercial vehicles: λ=0.5. These vehicles have diverse usage scenarios, with urban delivery and intercity transportation accounting for a roughly equal proportion.

[0059] Passenger vehicles (excluding city buses): λ=0.4. These vehicles are mainly used for intercity or long-distance passenger transport, and constant speed driving on highways is the dominant mode of transport.

[0060] City buses: λ=0.8. These vehicles typically operate on fixed routes, have dense stops, and require frequent acceleration and deceleration.

[0061] Trucks (excluding dump trucks): λ=0.3. These vehicles are mostly used for long-haul logistics, with a high proportion traveling on highways.

[0062] Semi-trailer tractor: λ=0.3. Similar to trucks, these vehicles are mainly used for long-distance highway transportation.

[0063] Dump trucks (a separate category of trucks): λ=0.9. These vehicles mostly operate short distances in enclosed areas such as construction sites and mining areas, where the working conditions are extremely harsh, with low speeds, heavy loads, and frequent starts and stops being the norm.

[0064] Furthermore, in some embodiments, the values ​​of the normal temperature weight, high temperature weight, and low temperature weight are set according to the climate characteristics of the registration area of ​​the target electric vehicle.

[0065] Specifically, in this embodiment, the criteria for determining the values ​​of the ambient temperature weight, high temperature weight, and low temperature weight used in the environmental weighting unit are limited.

[0066] These three environmental weights are not uniform across the country, but are differentiated based on the climate characteristics of the target electric vehicle's registration region. Different provinces or regions have vastly different temperature distribution ratios throughout the year due to factors such as latitude, altitude, and maritime climate.

[0067] In this embodiment, the environmental weights are given as a triple {normal temperature weight, high temperature weight, low temperature weight}, with a sum of 1. Below are examples of province weights based on different climate characteristics: For regions with four distinct seasons and hot summers and cold winters: the weights can be set to {0.4, 0.3, 0.3}. This indicates that in this region, the probability of a normal temperature climate is approximately 40%, while high and low temperature climates each account for 30%.

[0068] For subtropical monsoon climates with long summers and no winter, the weights can be set to {0.4, 0.5, 0.1}. This indicates that high temperatures dominate in these regions (50%), while low temperatures are very rare (10%).

[0069] For temperate continental monsoon climates with long, harsh winters, the weights can be set to {0.4, 0.1, 0.5}. This indicates that cold weather is the dominant characteristic of this region (50%), while hot weather is rare (10%).

[0070] The formula for calculating overall energy efficiency is: ; , where A is the weight and A is the overall energy efficiency.

[0071] Furthermore, in some embodiments, the test module is also configured to keep the automatic air conditioning of the target electric vehicle running throughout the high-temperature and low-temperature tests to simulate real-world driving conditions.

[0072] Specifically, in this embodiment, the testing module is configured to keep the target electric vehicle's automatic air conditioning system running continuously during high-temperature testing (e.g., 35°C) and low-temperature testing (e.g., -7°C). Here, automatic air conditioning refers to the vehicle's built-in air conditioning system that automatically adjusts its cooling or heating power based on the set interior temperature. During high-temperature testing, the air conditioning should be set to cooling mode; during low-temperature testing, it should be set to heating mode. The air conditioning temperature and airflow settings should follow a uniform standard to simulate normal vehicle use habits under extreme weather conditions.

[0073] Furthermore, in some embodiments, the data processing module is also configured to recalculate and update the energy efficiency level threshold after each new vehicle test.

[0074] Specifically, in this embodiment, after each test of a new target electric vehicle is completed and the relevant energy consumption data of the vehicle is stored in the database, the system automatically triggers a global recalculation. This recalculation process includes: retrieving energy consumption data from the database for all vehicles of the same category as the new vehicle (e.g., passenger cars), re-sorting them, recalculating the percentile thresholds for each energy efficiency level (e.g., P20 and P60), and finally updating the energy efficiency level thresholds stored in the level determination unit. This means that the level classification standard of the entire evaluation system continuously evolves as the sample database expands.

[0075] For ease of explanation, the above description has been provided in conjunction with specific embodiments. However, the discussion in some embodiments is not intended to be exhaustive or to limit the embodiments to the specific forms disclosed above. Various modifications and variations can be obtained based on the above teachings. The selection and description of the above embodiments are for the purpose of better explaining the contents of this disclosure, thereby enabling those skilled in the art to better utilize the embodiments.

Claims

1. A comprehensive energy efficiency rating testing and evaluation system for electric vehicles, characterized in that, The system includes: The test module is configured to test the target electric vehicle under multiple ambient temperature scenarios and multiple operating conditions, and to collect the discharge amount and driving range of the target electric vehicle in real time at each test stage. The data processing module is configured to calculate the energy consumption per unit mileage of the target electric vehicle in each test stage based on the discharge amount and driving mileage, calculate the comprehensive energy efficiency value based on preset operating condition weights and environmental weights, and output the comprehensive energy efficiency level of the target electric vehicle according to predetermined energy efficiency grading rules.

2. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 1, characterized in that, The testing module includes: A high and low temperature environment chamber, configured to provide a controllable multi-temperature environment for the target electric vehicle; A test bench configured to simulate different driving conditions, thereby providing a testing environment for the target electric vehicle; A power analyzer or an onboard CAN bus interface, which is configured to record the discharge data of the target electric vehicle in real time.

3. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 1, characterized in that, The multiple ambient temperature scenarios include normal temperature range, high temperature range, and low temperature range; the multiple operating condition structures include dynamic driving condition and constant speed driving condition.

4. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 3, characterized in that, The data processing module includes: The working condition weighting unit is configured to calculate the weighted comprehensive energy consumption of the target electric vehicle under three temperature scenarios: normal temperature, high temperature and low temperature, according to preset dynamic working condition weights and constant speed working condition weights. An environmental weighting unit is configured to perform a secondary weighting on the weighted comprehensive energy consumption under the three temperature scenarios according to preset room temperature weight, high temperature weight, and low temperature weight, so as to obtain the comprehensive energy efficiency value. A level determination unit is configured to compare the comprehensive energy efficiency value with a pre-stored energy efficiency level threshold and output the corresponding energy efficiency level.

5. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 4, characterized in that, The data processing module also includes a database unit configured to store energy consumption data of multiple electric vehicles of the same type. The level determination unit is also configured to dynamically update the energy efficiency level threshold based on the sorting results of the data stored in the database unit.

6. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 5, characterized in that, The level determination unit is further configured to: Sort the weighted comprehensive energy consumption at normal temperature of all vehicles in the same category database in ascending order of value, and determine the first quantile threshold and the second quantile threshold. The room temperature weighted comprehensive energy consumption of the target electric vehicle is compared with the first quantile threshold and the second quantile threshold to obtain the room temperature energy efficiency level; and in the same way, it is sorted by high temperature weighted comprehensive energy consumption and low temperature weighted comprehensive energy consumption to obtain the high temperature energy efficiency level and the low temperature energy efficiency level.

7. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 4, characterized in that, The values ​​of the dynamic operating condition weight and the constant speed operating condition weight are set according to the vehicle usage type; the vehicle usage type includes passenger cars, passenger commercial vehicles, light commercial vehicles, buses, trucks and semi-trailer tractors.

8. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 4, characterized in that, The values ​​of the ambient temperature weight, high temperature weight, and low temperature weight are set according to the climate characteristics of the registration area of ​​the target electric vehicle.

9. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 1, characterized in that, The test module is also configured to keep the automatic air conditioning of the target electric vehicle running throughout the high-temperature and low-temperature tests to simulate real-world driving conditions.

10. The comprehensive energy efficiency rating testing and evaluation system for electric vehicles according to claim 1, characterized in that, The data processing module is also configured to recalculate and update the energy efficiency level threshold after each new vehicle test.

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