New energy vehicle multi-dimensional energy efficiency evaluation method, device, equipment and storage medium

Abstract

The application discloses a new energy automobile multidimensional energy efficiency evaluation method, device, equipment and storage medium, the method collects the running data of the new energy automobile under different environmental conditions and different driving conditions; according to the running data, the mileage achievement rate index representing the vehicle endurance capability, the temperature regulation efficiency index reflecting the thermal management efficiency and the charging rate index measuring the energy utilization efficiency of the charging process are calculated respectively; the comprehensive energy saving efficiency index is generated by weighting and synthesizing according to the preset weight, and the energy efficiency evaluation report is generated according to the comprehensive energy saving efficiency index; the comprehensive energy efficiency performance of the new energy automobile in the real use environment can be comprehensively and objectively evaluated, the actual level of the endurance capability, the thermal management efficiency and the charging energy efficiency of the vehicle under different environmental temperatures and driving scenes can be accurately reflected, accurate energy efficiency optimization directions are provided for automobile manufacturers, and reliable energy efficiency reference bases are provided for consumers.

Description

Technical Field

[0001] This invention relates to the field of new energy vehicle testing and evaluation technology, and in particular to a method, device, equipment and storage medium for multi-dimensional energy efficiency evaluation of new energy vehicles. Background Technology

[0002] Current energy efficiency assessments for new energy vehicles typically focus on a single indicator (such as driving range or charging speed), lacking comprehensive quantitative analysis of complex scenarios (such as high and low temperatures, high-speed conditions) and system synergy. Traditional methods fail to fully reflect the actual user experience, leading to significant discrepancies between assessment results and actual needs.

[0003] Existing solutions only test a single operating condition (such as normal temperature range, low temperature range, etc.) and do not consider the impact of comprehensive operating conditions; they do not quantify the air conditioning heating / cooling speed and energy consumption under different ambient temperatures; they only focus on peak charging power and ignore the impact of temperature control energy consumption during the actual 30%~80% charging time; and they cannot intuitively reflect the overall energy-saving level of the vehicle. Summary of the Invention

[0004] The main objective of this invention is to provide a multi-dimensional energy efficiency evaluation method, device, equipment, and storage medium for new energy vehicles. This invention aims to address the technical problem that existing energy efficiency evaluation methods for new energy vehicles rely too heavily on single indicators or simple operating condition tests, failing to comprehensively consider multi-dimensional factors such as vehicle range, thermal management efficiency, and charging efficiency under different environmental conditions and usage scenarios. This results in significant discrepancies between the evaluation results and actual user experience, and fails to provide a scientific and objective basis for vehicle energy efficiency optimization and consumer purchasing decisions.

[0005] In a first aspect, the present invention provides a multi-dimensional energy efficiency evaluation method for new energy vehicles, the multi-dimensional energy efficiency evaluation method for new energy vehicles comprising the following steps: Collect operational data of new energy vehicles under different environmental conditions and driving conditions; Based on the aforementioned operating data, calculate the following indicators: mileage achievement rate (characterizing vehicle range), temperature regulation efficiency (reflecting thermal management efficiency), and charging rate (measuring energy utilization efficiency during charging). The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights to generate a comprehensive energy-saving efficiency index, and an energy efficiency assessment report is generated based on the comprehensive energy-saving efficiency index.

[0006] Optionally, the collection of operating data of new energy vehicles under different environmental conditions and different driving conditions includes: Data on the range performance, thermal management system performance, and energy conversion during the charging process of new energy vehicles under different environmental conditions and driving conditions are collected, and the range performance data, thermal management system performance data, and energy conversion data are used as operating data.

[0007] Optionally, the step of calculating the mileage achievement rate index characterizing the vehicle's range, the temperature regulation efficiency index reflecting thermal management efficiency, and the charging rate index measuring the energy utilization efficiency of the charging process based on the operating data includes: The range performance data in the operation data is standardized, outliers are removed and environmental factors are corrected, and the mileage achievement rate index, which characterizes the vehicle's range capability, is calculated based on the corrected data. Based on the cabin temperature change curve recorded in the operation data, the energy consumption required to reach the target comfort temperature, and the working time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with the benchmark value to obtain a temperature regulation efficiency index that reflects the thermal management efficiency. Based on the charging time, input power, and temperature control system energy consumption recorded in the operation data, the ratio of effective charging energy to total input energy is calculated and temperature control energy loss is corrected to obtain a charging rate index that measures the energy utilization efficiency of the charging process.

[0008] Optionally, the standardization of the range performance data in the operational data, the removal of outliers and the correction for environmental factors, and the calculation of the mileage achievement rate index characterizing the vehicle's range capability based on the corrected data, include: The battery life performance data in the operational data is standardized to remove outliers and correct for environmental factors. Based on the corrected data, the mileage achievement rate index, which characterizes the vehicle's driving range, is calculated using the following formula:

[0009] in, As a mileage achievement rate indicator, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under normal temperature conditions. To achieve the target driving range under normal temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under low-temperature conditions. To achieve the target driving range under low-temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under high temperature conditions. To achieve the target driving range under high temperature conditions, The weighting coefficients are preset to correspond to the driving range achievement rate under high-speed conditions. This is the target range achievement rate under preset high-speed conditions.

[0010] Optionally, the step of obtaining a temperature regulation efficiency index reflecting thermal management efficiency by calculating the temperature change rate per unit energy consumption and comparing it with a benchmark value based on the cabin temperature change curve recorded in the operating data, the energy consumption required to reach the target comfort temperature, and the working time of the thermal management system, includes: Based on the cabin temperature change curve recorded in the operational data, the energy consumption required to reach the target comfort temperature, and the operating time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with a benchmark value. The temperature regulation efficiency index, reflecting the thermal management efficiency, is obtained through the following formula:

[0011] in, As an indicator of temperature regulation efficiency, For the target temperature, The initial cabin temperature. The cabin temperature was measured 20 minutes later. This refers to air conditioning energy consumption.

[0012] Optionally, the step of calculating the ratio of effective charging energy to total input energy and correcting for temperature control energy loss based on the charging time, input power, and temperature control system energy consumption recorded in the operating data to obtain a charging rate index that measures the energy utilization efficiency of the charging process includes: Based on the charging time, input power, and temperature control system energy consumption recorded in the operating data, the ratio of effective charging energy to total input energy is calculated, and temperature control energy loss is corrected. The charging rate index, which measures the energy utilization efficiency of the charging process, is obtained through the following formula:

[0013] in, This refers to the charging rate indicator. This refers to the total battery capacity. The time required to charge an SOC from 30% to 80%. This refers to the peak power of the charging pile. Energy consumed by the battery temperature control system during charging.

[0014] Optionally, the step of weighting and combining the mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index according to preset weights to generate a comprehensive energy-saving efficiency index, and generating an energy efficiency assessment report based on the comprehensive energy-saving efficiency index, includes: The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights, and the comprehensive energy-saving efficiency index is generated by the following formula:

[0015] in, To calculate the comprehensive energy efficiency index, The weighting coefficient for the mileage achievement rate indicator. As a mileage achievement rate indicator, The weighting coefficients for the temperature regulation efficiency index. As an indicator of temperature regulation efficiency, The weighting coefficient for the charging rate index. This refers to the charging rate. The comprehensive energy-saving efficiency index is compared with the preset energy efficiency benchmark in multiple dimensions. The energy efficiency level of the new energy vehicle is determined according to the preset energy efficiency level division range, and a structured energy efficiency assessment report is automatically generated.

[0016] Secondly, to achieve the above objectives, the present invention also proposes a multi-dimensional energy efficiency evaluation device for new energy vehicles, the multi-dimensional energy efficiency evaluation device for new energy vehicles comprising: The data acquisition module is used to collect operating data of new energy vehicles under different environmental conditions and driving conditions. The index calculation module is used to calculate, based on the operating data, the mileage achievement rate index characterizing the vehicle's range, the temperature regulation efficiency index reflecting thermal management efficiency, and the charging rate index measuring the energy utilization efficiency of the charging process. The energy efficiency assessment module is used to weight and synthesize the mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index according to preset weights to generate a comprehensive energy-saving efficiency index, and generate an energy efficiency assessment report based on the comprehensive energy-saving efficiency index.

[0017] Thirdly, to achieve the above objectives, the present invention also proposes a multi-dimensional energy efficiency evaluation device for new energy vehicles. The multi-dimensional energy efficiency evaluation device for new energy vehicles includes: a memory, a processor, and a multi-dimensional energy efficiency evaluation program for new energy vehicles stored in the memory and executable on the processor. The multi-dimensional energy efficiency evaluation program for new energy vehicles is configured to implement the steps of the multi-dimensional energy efficiency evaluation method for new energy vehicles as described above.

[0018] Fourthly, to achieve the above objectives, the present invention also proposes a storage medium storing a multi-dimensional energy efficiency evaluation program for new energy vehicles, wherein when the multi-dimensional energy efficiency evaluation program for new energy vehicles is executed by a processor, the program implements the steps of the multi-dimensional energy efficiency evaluation method for new energy vehicles as described above.

[0019] This invention proposes a multi-dimensional energy efficiency evaluation method for new energy vehicles. It collects operational data of new energy vehicles under different environmental conditions and driving scenarios. Based on this data, it calculates a mileage achievement rate index (representing vehicle range), a temperature regulation efficiency index (reflecting thermal management efficiency), and a charging rate index (measuring energy utilization efficiency during charging). The mileage achievement rate index, temperature regulation efficiency index, and charging rate index are then weighted according to preset weights to generate a comprehensive energy efficiency index. An energy efficiency evaluation report is generated based on this index. This method comprehensively and objectively evaluates the overall energy efficiency performance of new energy vehicles in real-world usage environments, overcoming the limitations of traditional evaluation methods that focus only on a single dimension or ideal operating conditions. Through multi-dimensional data collection and scientific weighted calculation, it accurately reflects the actual level of vehicle range, thermal management efficiency, and charging efficiency under different ambient temperatures and driving scenarios. This provides automakers with precise energy efficiency optimization directions, consumers with reliable energy efficiency references, and promotes the scientific and standardized development of new energy vehicle energy efficiency evaluation standards. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the first embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention; Figure 3 This is a flowchart illustrating the second embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention; Figure 4 This is a flowchart illustrating the third embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention; Figure 5 This is a functional block diagram of the first embodiment of the multi-dimensional energy efficiency evaluation device for new energy vehicles of the present invention.

[0021] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0022] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0023] The solution of this invention mainly involves: collecting operating data of new energy vehicles under different environmental conditions and driving conditions; calculating, based on the operating data, a mileage achievement rate index characterizing the vehicle's range, a temperature regulation efficiency index reflecting thermal management efficiency, and a charging rate index measuring the energy utilization efficiency of the charging process; weighting the mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index according to preset weights to generate a comprehensive energy-saving efficiency index; and generating an energy efficiency assessment report based on the comprehensive energy-saving efficiency index. This approach can comprehensively and objectively evaluate the comprehensive energy efficiency performance of new energy vehicles in real-world usage environments, overcoming the limitations of traditional evaluation methods that only focus on a single dimension or ideal operating condition testing. By collecting multi-dimensional data and using scientific weighted calculations, this system accurately reflects the actual levels of a vehicle's range, thermal management efficiency, and charging efficiency under different ambient temperatures and driving scenarios. It provides automakers with precise directions for energy efficiency optimization and consumers with reliable energy efficiency references. Simultaneously, it promotes the scientific and standardized development of energy efficiency evaluation standards for new energy vehicles. This addresses the technical problem that existing energy efficiency assessment methods for new energy vehicles rely too heavily on single indicators or simple operating condition tests, failing to comprehensively consider multiple dimensions such as vehicle range, thermal management efficiency, and charging efficiency under different environmental conditions and usage scenarios. This results in significant discrepancies between assessment results and actual user experience, and fails to provide a scientific and objective basis for vehicle energy efficiency optimization and consumer purchasing decisions.

[0024] Reference Figure 1 , Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of the present invention.

[0025] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU; a communication bus 1002; a user interface 1003; a network interface 1004; and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0026] Those skilled in the art will understand that Figure 1The device structure shown does not constitute a limitation on the device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0027] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating device, a network communication module, a user interface module, and a multi-dimensional energy efficiency evaluation program for new energy vehicles.

[0028] The device of this invention calls the multi-dimensional energy efficiency evaluation program for new energy vehicles stored in the memory 1005 through the processor 1001, and performs the following operations: Collect operational data of new energy vehicles under different environmental conditions and driving conditions; Based on the aforementioned operating data, calculate the following indicators: mileage achievement rate (characterizing vehicle range), temperature regulation efficiency (reflecting thermal management efficiency), and charging rate (measuring energy utilization efficiency during charging). The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights to generate a comprehensive energy-saving efficiency index, and an energy efficiency assessment report is generated based on the comprehensive energy-saving efficiency index.

[0029] The device of this invention, through processor 1001 calling the multi-dimensional energy efficiency evaluation program for new energy vehicles stored in memory 1005, also performs the following operations: Data on the range performance, thermal management system performance, and energy conversion during the charging process of new energy vehicles under different environmental conditions and driving conditions are collected, and the range performance data, thermal management system performance data, and energy conversion data are used as operating data.

[0030] The device of this invention, through processor 1001 calling the multi-dimensional energy efficiency evaluation program for new energy vehicles stored in memory 1005, also performs the following operations: The range performance data in the operation data is standardized, outliers are removed and environmental factors are corrected, and the mileage achievement rate index, which characterizes the vehicle's range capability, is calculated based on the corrected data. Based on the cabin temperature change curve recorded in the operation data, the energy consumption required to reach the target comfort temperature, and the working time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with the benchmark value to obtain a temperature regulation efficiency index that reflects the thermal management efficiency. Based on the charging time, input power, and temperature control system energy consumption recorded in the operation data, the ratio of effective charging energy to total input energy is calculated and temperature control energy loss is corrected to obtain a charging rate index that measures the energy utilization efficiency of the charging process.

[0031] The device of this invention, through processor 1001 calling the multi-dimensional energy efficiency evaluation program for new energy vehicles stored in memory 1005, also performs the following operations: The battery life performance data in the operational data is standardized to remove outliers and correct for environmental factors. Based on the corrected data, the mileage achievement rate index, which characterizes the vehicle's driving range, is calculated using the following formula:

[0032] in, As a mileage achievement rate indicator, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under normal temperature conditions. To achieve the target driving range under normal temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under low-temperature conditions. To achieve the target driving range under low-temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under high temperature conditions. To achieve the target driving range under high temperature conditions, The weighting coefficients are preset to correspond to the driving range achievement rate under high-speed conditions. This is the target range achievement rate under preset high-speed conditions.

[0033] The device of this invention, through processor 1001 calling the multi-dimensional energy efficiency evaluation program for new energy vehicles stored in memory 1005, also performs the following operations: Based on the cabin temperature change curve recorded in the operational data, the energy consumption required to reach the target comfort temperature, and the operating time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with a benchmark value. The temperature regulation efficiency index, reflecting the thermal management efficiency, is obtained through the following formula:

[0034] in, As an indicator of temperature regulation efficiency, For the target temperature, The initial cabin temperature. The cabin temperature was measured 20 minutes later. This refers to air conditioning energy consumption.

[0035] The device of this invention, through processor 1001 calling the multi-dimensional energy efficiency evaluation program for new energy vehicles stored in memory 1005, also performs the following operations: Based on the charging time, input power, and temperature control system energy consumption recorded in the operating data, the ratio of effective charging energy to total input energy is calculated, and temperature control energy loss is corrected. The charging rate index, which measures the energy utilization efficiency of the charging process, is obtained through the following formula:

[0036] in, This refers to the charging rate indicator. This refers to the total battery capacity. The time required to charge an SOC from 30% to 80%. This refers to the peak power of the charging pile. Energy consumed by the battery temperature control system during charging.

[0037] The device of this invention, through processor 1001 calling the multi-dimensional energy efficiency evaluation program for new energy vehicles stored in memory 1005, also performs the following operations: The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights, and the comprehensive energy-saving efficiency index is generated by the following formula:

[0038] in, To calculate the comprehensive energy efficiency index, The weighting coefficient for the mileage achievement rate indicator. As a mileage achievement rate indicator, The weighting coefficients for the temperature regulation efficiency index. As an indicator of temperature regulation efficiency, The weighting coefficient for the charging rate index. This refers to the charging rate. The comprehensive energy-saving efficiency index is compared with the preset energy efficiency benchmark in multiple dimensions. The energy efficiency level of the new energy vehicle is determined according to the preset energy efficiency level division range, and a structured energy efficiency assessment report is automatically generated.

[0039] This embodiment, through the above-described scheme, collects operational data of new energy vehicles under different environmental conditions and driving scenarios; calculates, based on the operational data, a mileage achievement rate index characterizing the vehicle's range, a temperature regulation efficiency index reflecting thermal management efficiency, and a charging rate index measuring the energy utilization efficiency of the charging process; weights these three indices according to preset weights to generate a comprehensive energy-saving efficiency index, and generates an energy efficiency assessment report based on the comprehensive energy-saving efficiency index; it can comprehensively and objectively evaluate the comprehensive energy efficiency performance of new energy vehicles in real-world usage environments, overcoming the limitations of traditional evaluation methods that only focus on a single dimension or ideal operating conditions. Through multi-dimensional data collection and scientific weighted calculation, it accurately reflects the actual level of the vehicle's range, thermal management efficiency, and charging energy efficiency under different ambient temperatures and driving scenarios, providing automakers with precise energy efficiency optimization directions, providing consumers with reliable energy efficiency references, and promoting the scientific and standardized development of new energy vehicle energy efficiency evaluation standards.

[0040] Based on the above hardware structure, an embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention is proposed.

[0041] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention.

[0042] In the first embodiment, the multi-dimensional energy efficiency evaluation method for new energy vehicles includes the following steps: Step S10: Collect operating data of new energy vehicles under different environmental conditions and different driving conditions.

[0043] It should be noted that by collecting operational data of new energy vehicles under different environmental conditions and driving conditions, objective and comprehensive data support can be provided for subsequent multi-dimensional energy efficiency assessments.

[0044] Step S20: Calculate the mileage achievement rate index, which characterizes the vehicle's range capability, the temperature regulation efficiency index, which reflects thermal management efficiency, and the charging rate index, which measures the energy utilization efficiency of the charging process, based on the operating data.

[0045] It should be understood that different algorithm models can transform raw operating data into quantitative evaluation parameters with clear physical meaning. Among them, the mileage achievement rate indicator objectively reflects the vehicle's range performance under different environmental conditions by comparing the ratio of actual driving mileage to theoretical nominal mileage. The temperature regulation efficiency indicator quantitatively evaluates the energy efficiency level of the thermal management system by analyzing the relationship between the rate of temperature change and energy consumption. The charging rate indicator accurately measures the energy conversion efficiency during the charging process by calculating the ratio of effective charging energy to total input energy. These three core indicators together constitute the quantitative basis for comprehensively evaluating the actual energy efficiency of new energy vehicles, transforming abstract energy efficiency performance into measurable and comparable technical parameters.

[0046] Step S30: The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights to generate a comprehensive energy-saving efficiency index, and an energy efficiency assessment report is generated based on the comprehensive energy-saving efficiency index.

[0047] It is understandable that by weighting the mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index according to preset weights, a comprehensive energy-saving efficiency index can be generated. Based on the comprehensive energy-saving efficiency index, an energy efficiency assessment report can be generated, which can provide a scientific basis for automakers to improve their products and for consumers to make car purchase decisions.

[0048] This embodiment, through the above-described scheme, collects operational data of new energy vehicles under different environmental conditions and driving scenarios; calculates, based on the operational data, a mileage achievement rate index characterizing the vehicle's range, a temperature regulation efficiency index reflecting thermal management efficiency, and a charging rate index measuring the energy utilization efficiency of the charging process; weights these three indices according to preset weights to generate a comprehensive energy-saving efficiency index, and generates an energy efficiency assessment report based on the comprehensive energy-saving efficiency index; it can comprehensively and objectively evaluate the comprehensive energy efficiency performance of new energy vehicles in real-world usage environments, overcoming the limitations of traditional evaluation methods that only focus on a single dimension or ideal operating conditions. Through multi-dimensional data collection and scientific weighted calculation, it accurately reflects the actual level of the vehicle's range, thermal management efficiency, and charging energy efficiency under different ambient temperatures and driving scenarios, providing automakers with precise energy efficiency optimization directions, providing consumers with reliable energy efficiency references, and promoting the scientific and standardized development of new energy vehicle energy efficiency evaluation standards.

[0049] Furthermore, Figure 3 This is a flowchart illustrating the second embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention, as shown below. Figure 3As shown, based on the first embodiment, a second embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention is proposed. In this embodiment, step S10 specifically includes the following steps: Step S11: Collect range performance data, thermal management system performance data, and energy conversion data during charging of new energy vehicles under different environmental conditions and driving conditions, and use the range performance data, thermal management system performance data, and energy conversion data as operating data.

[0050] It should be noted that by systematically collecting data covering the diverse scenarios that vehicles may encounter in actual use, the obtained data on range performance, thermal management efficiency, and charging efficiency can truly represent the actual energy efficiency status of the vehicle under various usage conditions.

[0051] In practical implementation, the vehicle's energy consumption characteristics, powertrain operating status, battery performance parameters, and thermal management system operation information can be recorded in real time through an onboard data acquisition system under various temperature ranges (covering suitable temperature range, low temperature range, and high temperature range) and diverse driving scenarios (such as urban traffic congestion, smooth suburban driving, and highway cruising) set in a controlled environment chamber. The data acquisition process uses a high-precision sensor network to cover key vehicle systems, including but not limited to voltage, current, and SOC status data output by the battery management system, power output and recovery data recorded by the motor controller, cooling / heating energy consumption and temperature change curves monitored by the thermal management system, and driving trajectory and speed information recorded by the GPS positioning system. At the same time, standardized testing procedures ensure the consistency and comparability of data acquisition. All data is transmitted in real time to the central data processing unit via the onboard CAN bus system and stored and synchronized at preset time intervals to build a complete and accurate basic dataset reflecting the vehicle's energy efficiency performance under different usage environments and driving modes, providing reliable data support for subsequent multi-dimensional energy efficiency assessments.

[0052] This embodiment, through the above-described scheme, collects range performance data, thermal management system performance data, and energy conversion data during charging of new energy vehicles under different environmental conditions and driving scenarios. Using this range performance data, thermal management system performance data, and energy conversion data as operational data, it comprehensively captures the energy efficiency characteristics of new energy vehicles in real-world usage scenarios. This overcomes the limitations of traditional testing methods, which are confined to single operating conditions or ideal environments. By systematically collecting key performance parameters covering the entire vehicle lifecycle, it accurately reflects the impact of real-world factors such as temperature changes and driving behavior on vehicle range, thermal management efficiency, and charging efficiency. This lays a data foundation for constructing a scientific and objective multi-dimensional energy efficiency evaluation system, effectively solving the technical problem in existing technologies where evaluation results are severely disconnected from real-world user experience due to the single testing scenario. This makes energy efficiency evaluation more closely aligned with consumers' actual vehicle usage.

[0053] Furthermore, Figure 4 This is a flowchart illustrating the third embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention, as shown below. Figure 4 As shown, based on the first embodiment, a third embodiment of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention is proposed. In this embodiment, step S20 specifically includes the following steps: Step S21: Standardize the range performance data in the operation data, remove outliers and correct for environmental factors, and calculate the mileage achievement rate index that characterizes the vehicle's range capability based on the corrected data.

[0054] It should be noted that the raw range data collected under different test environments and driving modes are converted into a comparable dataset under a unified benchmark. Then, statistical methods are used to identify and remove abnormal data points caused by test equipment failure, operational errors, or extreme random factors. Next, calibration models are established for key environmental variables such as temperature, humidity, and wind speed to eliminate the interference of these external factors on range performance. Finally, the purified and calibrated range data is scientifically compared with the theoretical nominal mileage to calculate the mileage achievement rate index that can truly reflect the actual range capability of the vehicle under specific conditions. This ensures that the evaluation results objectively and accurately reflect the energy efficiency characteristics of the vehicle itself rather than the accidental influence of the test environment.

[0055] Furthermore, step S21 specifically includes the following steps: The battery life performance data in the operational data is standardized to remove outliers and correct for environmental factors. Based on the corrected data, the mileage achievement rate index, which characterizes the vehicle's driving range, is calculated using the following formula:

[0056] in, As a mileage achievement rate indicator, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under normal temperature conditions. To achieve the target driving range under normal temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under low-temperature conditions. To achieve the target driving range under low-temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under high temperature conditions. To achieve the target driving range under high temperature conditions, The weighting coefficients are preset to correspond to the driving range achievement rate under high-speed conditions. This is the target range achievement rate under preset high-speed conditions.

[0057] It should be understood that, firstly, the raw range data obtained under different test conditions are converted into a comparable dataset under a unified benchmark. Statistical methods are used to identify and eliminate outlier data points caused by test errors or random factors. Then, a correction model is established for environmental variables such as temperature and humidity to eliminate interference from external factors. On this basis, a weighted summation method is used to comprehensively consider the range performance under four typical scenarios: normal temperature, low temperature, high temperature, and high speed. The weight coefficients of each scenario reflect the frequency and importance of different usage conditions in actual driving. Through this multi-scenario, weighted comprehensive calculation method, the range capability of new energy vehicles in real-world usage environments can be more comprehensively and accurately reflected.

[0058] Step S22: Based on the cabin temperature change curve recorded in the operation data, the energy consumption required to reach the target comfort temperature, and the working time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with the benchmark value to obtain the temperature regulation efficiency index that reflects the thermal management efficiency.

[0059] Understandably, establishing a mathematical relationship between the dynamic process of cabin temperature change and energy consumption, and calculating the amount of temperature change achieved per unit of energy consumption (i.e., the ratio of the rate of temperature change to energy consumption), can scientifically measure the efficiency of the thermal management system in converting electrical energy into temperature regulation. Comparison with benchmark values ​​eliminates the differences caused by different vehicle models and environmental conditions, making the evaluation results comparable.

[0060] Furthermore, step S22 specifically includes the following steps: Based on the cabin temperature change curve recorded in the operational data, the energy consumption required to reach the target comfort temperature, and the operating time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with a benchmark value. The temperature regulation efficiency index, reflecting the thermal management efficiency, is obtained through the following formula:

[0061] in, As an indicator of temperature regulation efficiency, For the target temperature, The initial cabin temperature. The cabin temperature was measured 20 minutes later. This refers to air conditioning energy consumption.

[0062] It should be noted that the above formula integrates the two key factors of temperature change rate and energy consumption into a comprehensive index, which takes into account both how quickly the thermal management system reaches the target temperature and the energy cost of achieving this target. This avoids the one-sidedness of evaluating thermal management efficiency solely based on cooling / heating rate or energy consumption. Furthermore, by comparing with the benchmark value, it can eliminate the differences caused by different vehicle models and different initial environmental conditions, making the evaluation results comparable across vehicle models and test conditions.

[0063] Step S23: Based on the charging time, input power, and temperature control system energy consumption recorded in the operation data, calculate the ratio of effective charging energy to total input energy and correct for temperature control energy loss to obtain a charging rate index that measures the energy utilization efficiency of the charging process.

[0064] It should be understood that identifying the effective portion of the total input energy truly used for battery energy storage involves comparing the actual energy stored in the battery (usually based on energy stored within the 30%-80% SOC range) with the total energy input from the grid, while deducting the energy consumed by the temperature control system to maintain a suitable battery operating temperature, as this energy, although a necessary expenditure, is not converted into battery energy storage. The calculation process first determines the total input energy by multiplying the charging time by the input power, then subtracts the energy consumption of the temperature control system to obtain the effective charging energy. Finally, the effective charging energy is standardized and compared with the theoretical maximum storable energy. The resulting ratio, after appropriate weighting, forms a charging rate index, providing a scientific and quantitative technical basis for the energy efficiency optimization and objective evaluation of the thermal management system of new energy vehicles.

[0065] Furthermore, step S23 specifically includes the following steps: Based on the charging time, input power, and temperature control system energy consumption recorded in the operating data, the ratio of effective charging energy to total input energy is calculated, and temperature control energy loss is corrected. The charging rate index, which measures the energy utilization efficiency of the charging process, is obtained through the following formula:

[0066] in, This refers to the charging rate indicator. This refers to the total battery capacity. The time required to charge an SOC from 30% to 80%. This refers to the peak power of the charging pile. Energy consumed by the battery temperature control system during charging.

[0067] Understandably, the above formula avoids the one-sidedness of evaluating charging performance solely based on charging time. It can scientifically distinguish between fast but inefficient and moderate but efficient charging performance, providing an objective and comprehensive quantitative basis for evaluating the actual energy utilization efficiency of new energy vehicles in the 30%-80% charging range, which is the most frequently used charging range in daily life. This has important guiding significance for consumers to choose charging facilities and for manufacturers to optimize charging systems.

[0068] Accordingly, step S30 specifically includes the following steps: The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights, and the comprehensive energy-saving efficiency index is generated by the following formula:

[0069] in, To calculate the comprehensive energy efficiency index, The weighting coefficient for the mileage achievement rate indicator. As a mileage achievement rate indicator, The weighting coefficients for the temperature regulation efficiency index. As an indicator of temperature regulation efficiency, The weighting coefficient for the charging rate index. This refers to the charging rate. The comprehensive energy-saving efficiency index is compared with the preset energy efficiency benchmark in multiple dimensions. The energy efficiency level of the new energy vehicle is determined according to the preset energy efficiency level division range, and a structured energy efficiency assessment report is automatically generated.

[0070] It should be noted that the weighting coefficients a, b, and c are reasonably allocated according to the actual impact of each indicator on actual energy efficiency (satisfying a+b+c=1), so that the range achievement rate (RER, reflecting driving range), temperature regulation efficiency (TEI, reflecting thermal management efficiency), and charging rate (CSS, reflecting charging efficiency) receive a contribution commensurate with their actual importance in the comprehensive calculation. Secondly, the comprehensive energy efficiency index EEI generated by weighted summation can comprehensively and evenly reflect the overall energy efficiency performance of the vehicle in real-world usage environments, avoiding the one-sidedness of single-indicator evaluation. Finally, the EEI is compared with the industry-recognized energy efficiency benchmark, and the vehicle's energy efficiency level is determined according to the pre-set energy efficiency level range (such as A+, A, B, C, etc.). A structured evaluation report containing energy efficiency score, level label, comparative analysis with similar models, and targeted optimization suggestions is automatically generated. This not only solves the technical problem of the difficulty in intuitively comparing multi-dimensional energy efficiency indicators, but also provides automakers with precise directions for energy efficiency optimization.

[0071] In practical implementation, the range achievement rate (RER) assessment is as follows: Scenario-specific testing conditions: 1) Normal temperature (25℃): CLTC circulation, air conditioning off; 2) Low temperature (-10℃): High-speed operation (80km / h) + air conditioning heating (target 20℃); 3) High temperature (40℃): Urban driving conditions (30km / h) + air conditioning (target 25℃); 4) High speed (120km / h): Normal temperature + high speed cruising; Scenario-specific calculations:

[0072] in, To evaluate the driving range achievement rate under scenario S, For the actual battery life test under different scenarios (S), The nominal battery life is for scenario S.

[0073] Weighted calculation:

[0074] in, As a mileage achievement rate indicator, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under normal temperature conditions. To achieve the target driving range under normal temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under low-temperature conditions. To achieve the target driving range under low-temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under high temperature conditions. To achieve the target driving range under high temperature conditions, The weighting coefficients are preset to correspond to the driving range achievement rate under high-speed conditions. This is the target range achievement rate under preset high-speed conditions.

[0075] Among them, the weighting coefficient , , , Determined through actual research, (e.g.) =0.4, =0.3, =0.2, =0.1).

[0076] 2. Air Conditioning Performance Evaluation (TEI) Test conditions: 1) Low temperature / extreme cold (-20℃): The vehicle was left stationary for 12 hours. After getting in the vehicle, the air conditioning was turned on for heating (target 20℃), and the temperature rise curve was recorded for 20 minutes. 2) High temperature (45℃): The vehicle was exposed to the sun for 2 hours. After getting in the car, the air conditioner was turned on to cool down (target 25℃), and the cooling curve was recorded for 20 minutes.

[0077] Calculation formula:

[0078] in, As an indicator of temperature regulation efficiency, For the target temperature, The initial cabin temperature. The cabin temperature was measured 20 minutes later. This refers to air conditioning energy consumption.

[0079] in: 1) Target temperature (20℃ or 25℃); 2) Initial cabin temperature; 3) Temperature inside the cabin at 20 minutes; 4) Air conditioning energy consumption (kWh); 3. Charging Rate Evaluation (CSS) Test method: When the vehicle's SOC is 30%, charge it to 80% using a standard fast charging station (e.g., 150kW) and record the time taken. ; Calculation formula:

[0080] in, This refers to the charging rate indicator. This refers to the total battery capacity. The time required to charge an SOC from 30% to 80%. This refers to the peak power of the charging pile. Energy consumed by the battery temperature control system during charging.

[0081] in: • Time (h) required to charge from 30% to 80% of SOC; • Total battery capacity (kWh); • Peak power of charging pile (kW); • Energy consumption of the battery temperature control system during charging (kWh) 4. Overall Energy Efficiency Index (EEI)

[0082] in, To calculate the comprehensive energy efficiency index, The weighting coefficient for the mileage achievement rate indicator. As a mileage achievement rate indicator, The weighting coefficients for the temperature regulation efficiency index. As an indicator of temperature regulation efficiency, The weighting coefficient for the charging rate index. This refers to the charging rate. The coefficients are obtained based on actual surveys (e.g., a=0.5, b=0.3, c=0.2).

[0083] This embodiment, through the above-described scheme, standardizes the range performance data in the operational data, removes outliers, and corrects for environmental factors. Based on the corrected data, it calculates the mileage achievement rate index, which characterizes the vehicle's range capability. Based on the cabin temperature change curve recorded in the operational data, the energy consumption required to reach the target comfort temperature, and the thermal management system's operating time, it calculates the temperature change rate per unit energy consumption and compares it with a benchmark value to obtain a temperature regulation efficiency index reflecting thermal management efficiency. Based on the charging time, input power, and temperature control system energy consumption recorded in the operational data, it calculates the ratio of effective charging energy to total input energy and corrects for temperature control energy loss to obtain a charging rate index, which measures the energy utilization efficiency of the charging process. This approach overcomes the limitations of traditional new energy vehicle energy efficiency assessment methods, which are confined to a single dimension or ideal operating condition testing. Through scientific data processing and index construction, it achieves precise quantitative assessment of the three key dimensions of vehicle range capability, thermal management efficiency, and charging efficiency.

[0084] Accordingly, the present invention further provides a multi-dimensional energy efficiency evaluation device for new energy vehicles.

[0085] Reference Figure 5 , Figure 5 This is a functional block diagram of the first embodiment of the multi-dimensional energy efficiency evaluation device for new energy vehicles of the present invention.

[0086] In the first embodiment of the multi-dimensional energy efficiency evaluation device for new energy vehicles of the present invention, the multi-dimensional energy efficiency evaluation device for new energy vehicles includes: The data acquisition module 10 is used to collect operating data of new energy vehicles under different environmental conditions and different driving conditions.

[0087] The index calculation module 20 is used to calculate, based on the operating data, the mileage achievement rate index characterizing the vehicle's range, the temperature regulation efficiency index reflecting thermal management efficiency, and the charging rate index measuring the energy utilization efficiency of the charging process.

[0088] The energy efficiency assessment module 30 is used to weight and synthesize the mileage achievement rate index, the temperature regulation efficiency index and the charging rate index according to preset weights to generate a comprehensive energy-saving efficiency index, and generate an energy efficiency assessment report based on the comprehensive energy-saving efficiency index.

[0089] The data acquisition module 10 is also used to collect range performance data, thermal management system performance data, and energy conversion data during the charging process of new energy vehicles under different environmental conditions and different driving conditions, and to use the range performance data, thermal management system performance data, and energy conversion data as operating data.

[0090] The index calculation module 20 is also used to standardize the range performance data in the operating data, remove outliers and correct for environmental factors, and calculate the mileage achievement rate index, which characterizes the vehicle's range capability, based on the corrected data; based on the cabin temperature change curve, the energy consumption required to reach the target comfort temperature, and the working time of the thermal management system recorded in the operating data, it calculates the temperature change rate per unit energy consumption and compares it with a benchmark value to obtain a temperature regulation efficiency index that reflects the thermal management efficiency; based on the charging time, input power, and temperature control system energy consumption recorded in the operating data, it calculates the ratio of effective charging energy to total input energy and corrects for temperature control energy loss to obtain a charging rate index that measures the energy utilization efficiency of the charging process.

[0091] The indicator calculation module 20 is also used to standardize the battery life performance data in the operating data, remove outliers and correct for environmental factors. Based on the corrected data, the mileage achievement rate index, which characterizes the vehicle's driving range, is calculated using the following formula:

[0092] in, As a mileage achievement rate indicator, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under normal temperature conditions. To achieve the target driving range under normal temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under low-temperature conditions. To achieve the target driving range under low-temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under high temperature conditions. To achieve the target driving range under high temperature conditions, The weighting coefficients are preset to correspond to the driving range achievement rate under high-speed conditions. This is the target range achievement rate under preset high-speed conditions.

[0093] The index calculation module 20 is also used to calculate the temperature change rate per unit energy consumption and compare it with a benchmark value based on the cabin temperature change curve recorded in the operating data, the energy consumption required to reach the target comfort temperature, and the working time of the thermal management system, and obtain the temperature regulation efficiency index reflecting the thermal management efficiency through the following formula:

[0094] in, As an indicator of temperature regulation efficiency, For the target temperature, The initial cabin temperature. The cabin temperature was measured 20 minutes later. This refers to air conditioning energy consumption.

[0095] The index calculation module 20 is also used to calculate the ratio of effective charging energy to total input energy and correct for temperature control energy loss based on the charging time, input power, and temperature control system energy consumption recorded in the operating data, and obtain the charging rate index, which measures the energy utilization efficiency of the charging process, through the following formula:

[0096] in, This refers to the charging rate indicator. This refers to the total battery capacity. The time required to charge an SOC from 30% to 80%. This refers to the peak power of the charging pile. Energy consumed by the battery temperature control system during charging.

[0097] The energy efficiency evaluation module 30 is further configured to weight and synthesize the mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index according to preset weights, and generate a comprehensive energy-saving efficiency index using the following formula:

[0098] in, To calculate the comprehensive energy efficiency index, The weighting coefficient for the mileage achievement rate indicator. As a mileage achievement rate indicator, The weighting coefficients for the temperature regulation efficiency index. As an indicator of temperature regulation efficiency, The weighting coefficient for the charging rate index. This refers to the charging rate. The comprehensive energy-saving efficiency index is compared with the preset energy efficiency benchmark in multiple dimensions. The energy efficiency level of the new energy vehicle is determined according to the preset energy efficiency level division range, and a structured energy efficiency assessment report is automatically generated.

[0099] The steps for implementing each functional module of the multi-dimensional energy efficiency evaluation device for new energy vehicles can be referred to in the various embodiments of the multi-dimensional energy efficiency evaluation method for new energy vehicles of the present invention, and will not be repeated here.

[0100] Furthermore, this embodiment of the invention also proposes a storage medium storing a multi-dimensional energy efficiency evaluation program for new energy vehicles. When the multi-dimensional energy efficiency evaluation program for new energy vehicles is executed by a processor, it performs the following operations: Collect operational data of new energy vehicles under different environmental conditions and driving conditions; Based on the aforementioned operating data, calculate the following indicators: mileage achievement rate (characterizing vehicle range), temperature regulation efficiency (reflecting thermal management efficiency), and charging rate (measuring energy utilization efficiency during charging). The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights to generate a comprehensive energy-saving efficiency index, and an energy efficiency assessment report is generated based on the comprehensive energy-saving efficiency index.

[0101] Furthermore, when the processor executes the multi-dimensional energy efficiency evaluation program for new energy vehicles, it also performs the following operations: Data on the range performance, thermal management system performance, and energy conversion during the charging process of new energy vehicles under different environmental conditions and driving conditions are collected, and the range performance data, thermal management system performance data, and energy conversion data are used as operating data.

[0102] Furthermore, when the processor executes the multi-dimensional energy efficiency evaluation program for new energy vehicles, it also performs the following operations: The range performance data in the operation data is standardized, outliers are removed and environmental factors are corrected, and the mileage achievement rate index, which characterizes the vehicle's range capability, is calculated based on the corrected data. Based on the cabin temperature change curve recorded in the operation data, the energy consumption required to reach the target comfort temperature, and the working time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with the benchmark value to obtain a temperature regulation efficiency index that reflects the thermal management efficiency. Based on the charging time, input power, and temperature control system energy consumption recorded in the operation data, the ratio of effective charging energy to total input energy is calculated and temperature control energy loss is corrected to obtain a charging rate index that measures the energy utilization efficiency of the charging process.

[0103] Furthermore, when the processor executes the multi-dimensional energy efficiency evaluation program for new energy vehicles, it also performs the following operations: The battery life performance data in the operational data is standardized to remove outliers and correct for environmental factors. Based on the corrected data, the mileage achievement rate index, which characterizes the vehicle's driving range, is calculated using the following formula:

[0104] in, As a mileage achievement rate indicator, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under normal temperature conditions. To achieve the target driving range under normal temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under low-temperature conditions. To achieve the target driving range under low-temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under high temperature conditions. To achieve the target driving range under high temperature conditions, The weighting coefficients are preset to correspond to the driving range achievement rate under high-speed conditions. This is the target range achievement rate under preset high-speed conditions.

[0105] Furthermore, when the processor executes the multi-dimensional energy efficiency evaluation program for new energy vehicles, it also performs the following operations: Based on the cabin temperature change curve recorded in the operational data, the energy consumption required to reach the target comfort temperature, and the operating time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with a benchmark value. The temperature regulation efficiency index, reflecting the thermal management efficiency, is obtained through the following formula:

[0106] in, As an indicator of temperature regulation efficiency, For the target temperature, The initial cabin temperature. The cabin temperature was measured 20 minutes later. This refers to air conditioning energy consumption.

[0107] Furthermore, when the processor executes the multi-dimensional energy efficiency evaluation program for new energy vehicles, it also performs the following operations: Based on the charging time, input power, and temperature control system energy consumption recorded in the operating data, the ratio of effective charging energy to total input energy is calculated, and temperature control energy loss is corrected. The charging rate index, which measures the energy utilization efficiency of the charging process, is obtained through the following formula:

[0108] in, This refers to the charging rate indicator. This refers to the total battery capacity. The time required to charge an SOC from 30% to 80%. This refers to the peak power of the charging pile. Energy consumed by the battery temperature control system during charging.

[0109] Furthermore, when the processor executes the multi-dimensional energy efficiency evaluation program for new energy vehicles, it also performs the following operations: The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights, and the comprehensive energy-saving efficiency index is generated by the following formula:

[0110] in, To calculate the comprehensive energy efficiency index, The weighting coefficient for the mileage achievement rate indicator. As a mileage achievement rate indicator, The weighting coefficients for the temperature regulation efficiency index. As an indicator of temperature regulation efficiency, The weighting coefficient for the charging rate index. This refers to the charging rate. The comprehensive energy-saving efficiency index is compared with the preset energy efficiency benchmark in multiple dimensions. The energy efficiency level of the new energy vehicle is determined according to the preset energy efficiency level division range, and a structured energy efficiency assessment report is automatically generated.

[0111] Those skilled in the art will understand that all or part of the steps in the methods described above can be implemented by a program instructing related hardware. The program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium is a computer-readable storage medium, including: USB flash drive, mobile hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other media that can store program code.

[0112] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0113] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0114] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A multi-dimensional energy efficiency evaluation method for new energy vehicles, characterized in that, The multi-dimensional energy efficiency evaluation method for new energy vehicles includes: Collect operational data of new energy vehicles under different environmental conditions and driving conditions; Based on the aforementioned operating data, calculate the following indicators: mileage achievement rate (characterizing vehicle range), temperature regulation efficiency (reflecting thermal management efficiency), and charging rate (measuring energy utilization efficiency during charging). The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights to generate a comprehensive energy-saving efficiency index, and an energy efficiency assessment report is generated based on the comprehensive energy-saving efficiency index.

2. The multi-dimensional energy efficiency evaluation method for new energy vehicles as described in claim 1, characterized in that, The collected operating data of new energy vehicles under different environmental conditions and driving conditions includes: Data on the range performance, thermal management system performance, and energy conversion during the charging process of new energy vehicles under different environmental conditions and driving conditions are collected, and the range performance data, thermal management system performance data, and energy conversion data are used as operating data.

3. The multi-dimensional energy efficiency evaluation method for new energy vehicles as described in claim 1, characterized in that, The calculation of the mileage achievement rate index, reflecting the vehicle's range capability, the temperature regulation efficiency index, reflecting thermal management efficiency, and the charging rate index, measuring the energy utilization efficiency of the charging process, based on the operational data, includes: The range performance data in the operation data is standardized, outliers are removed and environmental factors are corrected, and the mileage achievement rate index, which characterizes the vehicle's range capability, is calculated based on the corrected data. Based on the cabin temperature change curve recorded in the operation data, the energy consumption required to reach the target comfort temperature, and the working time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with the benchmark value to obtain a temperature regulation efficiency index that reflects the thermal management efficiency. Based on the charging time, input power, and temperature control system energy consumption recorded in the operation data, the ratio of effective charging energy to total input energy is calculated and temperature control energy loss is corrected to obtain a charging rate index that measures the energy utilization efficiency of the charging process.

4. The multi-dimensional energy efficiency evaluation method for new energy vehicles as described in claim 3, characterized in that, The process of standardizing the range performance data in the operational data, removing outliers and correcting for environmental factors, and calculating the mileage achievement rate index characterizing the vehicle's range capability based on the corrected data includes: The battery life performance data in the operational data is standardized to remove outliers and correct for environmental factors. Based on the corrected data, the mileage achievement rate index, which characterizes the vehicle's driving range, is calculated using the following formula: in, As a mileage achievement rate indicator, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under normal temperature conditions. To achieve the target driving range under normal temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under low-temperature conditions. To achieve the target driving range under low-temperature conditions, The weighting coefficients are the pre-set weighting coefficients corresponding to the driving range achievement rate under high temperature conditions. To achieve the target driving range under high temperature conditions, The weighting coefficients are preset to correspond to the driving range achievement rate under high-speed conditions. This is the target range achievement rate under preset high-speed conditions.

5. The multi-dimensional energy efficiency evaluation method for new energy vehicles as described in claim 3, characterized in that, The method involves calculating the temperature change rate per unit energy consumption and comparing it with a benchmark value based on the cabin temperature change curve recorded in the operational data, the energy consumption required to reach the target comfort temperature, and the operating time of the thermal management system. This yields a temperature regulation efficiency index reflecting thermal management efficiency, including: Based on the cabin temperature change curve recorded in the operational data, the energy consumption required to reach the target comfort temperature, and the operating time of the thermal management system, the temperature change rate per unit energy consumption is calculated and compared with a benchmark value. The temperature regulation efficiency index, reflecting the thermal management efficiency, is obtained through the following formula: in, As an indicator of temperature regulation efficiency, For the target temperature, The initial cabin temperature. The cabin temperature was measured 20 minutes later. This refers to air conditioning energy consumption.

6. The multi-dimensional energy efficiency evaluation method for new energy vehicles as described in claim 3, characterized in that, The process involves calculating the ratio of effective charging energy to total input energy based on the charging time, input power, and temperature control system energy consumption recorded in the operational data, and correcting for temperature control energy loss to obtain a charging rate index that measures the energy utilization efficiency of the charging process. This includes: Based on the charging time, input power, and temperature control system energy consumption recorded in the operating data, the ratio of effective charging energy to total input energy is calculated, and temperature control energy loss is corrected. The charging rate index, which measures the energy utilization efficiency of the charging process, is obtained through the following formula: in, This is a charging rate indicator. This refers to the total battery capacity. The time required to charge an SOC from 30% to 80%. This refers to the peak power of the charging pile. Energy consumed by the battery temperature control system during charging.

7. The multi-dimensional energy efficiency evaluation method for new energy vehicles as described in claim 1, characterized in that, The process of weighting and combining the mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index according to preset weights to generate a comprehensive energy-saving efficiency index, and generating an energy efficiency assessment report based on the comprehensive energy-saving efficiency index, includes: The mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index are weighted and combined according to preset weights, and the comprehensive energy-saving efficiency index is generated by the following formula: in, To calculate the comprehensive energy efficiency index, The weighting coefficient for the mileage achievement rate indicator. As a mileage achievement rate indicator, The weighting coefficients for the temperature regulation efficiency index. As an indicator of temperature regulation efficiency, This is the weighting coefficient for the charging rate index. This refers to the charging rate. The comprehensive energy efficiency index is compared with the preset energy efficiency benchmark in multiple dimensions. The energy efficiency level of the new energy vehicle is determined according to the preset energy efficiency level division range, and a structured energy efficiency assessment report is automatically generated.

8. A multi-dimensional energy efficiency evaluation device for new energy vehicles, characterized in that, The multi-dimensional energy efficiency assessment device for new energy vehicles includes: The data acquisition module is used to collect operating data of new energy vehicles under different environmental conditions and driving conditions. The index calculation module is used to calculate, based on the operating data, the mileage achievement rate index which characterizes the vehicle's range, the temperature regulation efficiency index which reflects thermal management efficiency, and the charging rate index which measures the energy utilization efficiency of the charging process. The energy efficiency assessment module is used to weight and synthesize the mileage achievement rate index, the temperature regulation efficiency index, and the charging rate index according to preset weights to generate a comprehensive energy-saving efficiency index, and generate an energy efficiency assessment report based on the comprehensive energy-saving efficiency index.

9. A multi-dimensional energy efficiency evaluation device for new energy vehicles, characterized in that, The new energy vehicle multi-dimensional energy efficiency evaluation device includes: a memory, a processor, and a new energy vehicle multi-dimensional energy efficiency evaluation program stored on the memory and capable of running on the processor. The new energy vehicle multi-dimensional energy efficiency evaluation program is configured to implement the steps of the new energy vehicle multi-dimensional energy efficiency evaluation method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium stores a multi-dimensional energy efficiency evaluation program for new energy vehicles. When the processor executes the multi-dimensional energy efficiency evaluation program for new energy vehicles, it implements the steps of the multi-dimensional energy efficiency evaluation method for new energy vehicles as described in any one of claims 1 to 7.

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