Performance evaluation method and system for energy management system of hybrid electric vehicle on plateau road

Abstract

The invention discloses a plateau road hybrid electric vehicle energy management system performance evaluation method and a plateau road hybrid electric vehicle energy management system performance evaluation system, and relates to the technical field of hybrid electric vehicle energy management system performance evaluation. The environment information comprises the altitude of the plateau road working condition, the crosswind speed of the plateau road working condition, the environment temperature of the plateau road working condition and the atmospheric pressure of the plateau road working condition; an energy management system performance evaluation model is set, an energy management system performance evaluation index is calculated according to the environment information, the energy management system performance evaluation model is composed of a normalized energy deviation value, a thermal stress index value, a power distribution smoothness index and a battery SOC, and the change rate of the engine power distribution proportion is calculated through an environment correction factor; calculating a power distribution smoothness index; and mapping the performance evaluation index of the energy management system into a comprehensive performance score so as to quantify the overall performance level under the working condition of the plateau road.

Description

Technical Field

[0001] This invention belongs to the technical field of performance evaluation of hybrid electric vehicle energy management systems, and more specifically, relates to a method and system for performance evaluation of hybrid electric vehicle energy management systems on plateau roads. Background Technology

[0002] Existing research and testing technologies for hybrid electric vehicle energy management systems are mostly based on plain roads and standard operating conditions. They often optimize the power distribution between the engine and battery using methods such as equivalent fuel consumption minimization (ECMS), rule-based power splitting strategies, and dynamic programming (DP). These methods can achieve a good balance between fuel economy and battery charge maintenance under general road conditions. However, their modeling assumptions are usually too idealistic, ignoring the significant impact of environmental conditions, especially in high-altitude areas, such as thin air, low air pressure, and large temperature fluctuations, on vehicle dynamics and energy consumption characteristics. For example, the decrease in air density with increasing altitude directly affects air resistance and engine combustion efficiency, and rolling resistance also increases with changes in air pressure. The battery's charging and discharging efficiency and thermal management show significant differences in low-temperature and high-temperature environments. These factors lead to insufficient prediction accuracy of existing models and inadequate adaptability of energy management strategies. At the same time, traditional evaluation indicators are mostly limited to fuel consumption, SOC maintenance level, and power performance satisfaction, lacking measurements of battery thermal safety, power distribution smoothness, and comprehensive energy efficiency under multi-dimensional operating conditions. Therefore, they are difficult to comprehensively reflect the system's operational risks and performance in complex environments. Summary of the Invention

[0003] To address the above technical problems, this invention proposes a performance evaluation method for the energy management system of hybrid electric vehicles used on plateau roads, comprising: Based on the environmental information of plateau roads, an environmental correction factor is constructed, wherein the environmental information includes: altitude of plateau road conditions, crosswind speed of plateau road conditions, ambient temperature of plateau road conditions, and atmospheric pressure of plateau road conditions. An energy management system performance evaluation model is set up, and an energy management system performance evaluation index is calculated based on the environmental information. The energy management system performance evaluation model consists of normalized energy deviation value, thermal stress index value, power distribution smoothness index and battery SOC. The change rate of engine power distribution ratio is calculated through the environmental correction factor, and the power distribution smoothness index is calculated. The performance evaluation index of the energy management system is mapped to a comprehensive performance score to quantify the overall performance level of the energy management system under plateau road conditions.

[0004] Furthermore, mapping the energy management system performance evaluation index to a comprehensive performance score includes mapping the energy management system performance evaluation index to a comprehensive performance score of 0–100.

[0005] Furthermore, the performance evaluation model for the energy management system includes: , in, This is a performance evaluation index for energy management systems. The weights for normalizing energy deviation values, This is the normalized energy deviation value. As the weight of the thermal stress index value, This is the thermal stress index value. Assign weights to the smoothness index for power. The power distribution smoothness index, The weights are the states of charge. For time State of charge, For reference state of charge, , , and The sum is 1; The comprehensive performance score, which maps the energy management system performance evaluation index to 0–100, includes: , in, For comprehensive performance scoring, This is a scale constant used to adjust the sensitivity.

[0006] Furthermore, the normalized energy deviation value is calculated. include: , in, Input energy value to the battery, This is the equivalent energy value of fuel. For traction energy output value, To prevent the removal of the zero constant.

[0007] Furthermore, the thermal stress index value is calculated. include: , in, To test the duration of the operating condition, The start time of the test condition. The end time of the test condition. For time Battery temperature at that time The safe temperature threshold for the battery. The maximum reference temperature difference that allows for overheating.

[0008] Furthermore, the power distribution smoothness index is calculated. include: , in, For time The rate of change of the engine power distribution ratio.

[0009] Furthermore, computation time Engine power distribution ratio include: , in, For the Sigmoid function, The weights are the states of charge. For power weighting, For time traction power demand This refers to the vehicle's peak traction power. The weights of the environmental correction factors, As an environmental correction factor, The weighting is based on temperature.

[0010] This invention also proposes a performance evaluation system for the energy management system of hybrid electric vehicles on plateau roads, comprising: The information acquisition module is used to construct environmental correction factors based on the environmental information of the plateau road. The environmental information includes: the altitude of the plateau road, the crosswind speed of the plateau road, the ambient temperature of the plateau road, and the atmospheric pressure of the plateau road. The model setting module is used to set the performance evaluation model of the energy management system and calculate the performance evaluation index of the energy management system based on the environmental information. The performance evaluation model of the energy management system consists of normalized energy deviation value, thermal stress index value, power distribution smoothness index and battery SOC. The change rate of engine power distribution ratio is calculated through the environmental correction factor, and the power distribution smoothness index is calculated. The evaluation module is used to map the performance evaluation index of the energy management system to a comprehensive performance score, so as to quantify the overall performance level of the energy management system under plateau road conditions.

[0011] Furthermore, mapping the energy management system performance evaluation index to a comprehensive performance score includes mapping the energy management system performance evaluation index to a comprehensive performance score of 0–100.

[0012] Furthermore, the performance evaluation model for the energy management system includes: , in, This is a performance evaluation index for energy management systems. The weights for normalizing energy deviation values, This is the normalized energy deviation value. As the weight of the thermal stress index value, This is the thermal stress index value. Assign weights to the smoothness index for power. The power distribution smoothness index, The weights are the states of charge. For time State of charge, For reference state of charge, , , and The sum is 1; The comprehensive performance score, which maps the energy management system performance evaluation index to 0–100, includes: , in, For comprehensive performance scoring, This is a scale constant used to adjust the sensitivity.

[0013] In summary, the technical solutions conceived by this invention have the following beneficial effects compared with the prior art: The technical solution of this invention can more realistically reflect the comprehensive impact of the complex plateau environment on the vehicle's energy consumption, power output, thermal safety and battery life, and provide quantitative basis and evaluation standards for the energy management optimization of hybrid power systems under extreme road and climate conditions, thereby improving the economy, reliability and environmental adaptability of the vehicle operation. Attached Figure Description

[0014] Figure 1 This is a flowchart of the method in Embodiment 1 of the present invention; Figure 2 This is a system structure diagram of Embodiment 2 of the present invention. Detailed Implementation

[0015] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0016] The method provided by this invention can be implemented in a terminal environment that may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.

[0017] A processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of the terminal, and performs various functions and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and by calling data stored in the storage medium.

[0018] Storage media can include random access memory (RAM) or read-only memory (ROM). Storage media can be used to store instructions, programs, code, code sets, or instructions.

[0019] The display screen is used to show the user interface of each application.

[0020] In addition, those skilled in the art will understand that the above-described structure of the terminal does not constitute a limitation on the terminal. The terminal may include more or fewer components, or combine certain components, or have different component arrangements. For example, the terminal may also include radio frequency circuits, input units, sensors, audio circuits, power supplies, and other components, which will not be described in detail here.

[0021] Example 1 like Figure 1 As shown in the figure, this embodiment proposes a performance evaluation method for the energy management system of a hybrid electric vehicle on plateau roads, including: Step 101: Based on the environmental information of the plateau road, construct an environmental correction factor, wherein the environmental information includes: altitude of the plateau road, crosswind speed of the plateau road, ambient temperature of the plateau road, and atmospheric pressure of the plateau road. Preferably, environmental correction factors are constructed based on environmental information, specifically including: , in, As an environmental correction factor, The altitude of the road is the altitude for high-altitude road conditions. For reference altitude, This is an adjustment factor for altitude. As a weight of ambient temperature, The ambient temperature for high-altitude road conditions. For reference temperature, As an adjustment factor for ambient temperature, As the weight of crosswind speed, Crosswind speed for high-altitude road conditions, For reference wind speed, This is an adjustment factor for crosswind speed. As a weight of atmospheric pressure, The atmospheric pressure for high-altitude road conditions. Reference atmospheric pressure.

[0022] Step 102: Set up an energy management system performance evaluation model and calculate the energy management system performance evaluation index based on the environmental information. The energy management system performance evaluation model consists of normalized energy deviation value, thermal stress index value, power distribution smoothness index and battery SOC. The change rate of engine power distribution ratio is calculated through the environmental correction factor, and the power distribution smoothness index is calculated. Specifically, the performance evaluation model for the energy management system includes: , in, This is a performance evaluation index for energy management systems. The weights for normalizing energy deviation values, This is the normalized energy deviation value. As the weight of the thermal stress index value, This is the thermal stress index value. Assign weights to the smoothness index for power. The power distribution smoothness index, The weights are the states of charge. For time State of charge, For reference state of charge, , , and The sum is 1; The comprehensive performance score, which maps the energy management system performance evaluation index to 0–100, includes: , in, For comprehensive performance scoring, This is a scale constant used to adjust the sensitivity.

[0023] Specifically, calculate the normalized energy deviation value. include: , in, Input energy value to the battery, This is the equivalent energy value of fuel. For traction energy output value, To prevent the removal of the zero constant.

[0024] Preferably, the traction energy output value is calculated. include: , in, For time Effective traction of the vehicle at that time For time Vehicle speed at that time.

[0025] Calculate the battery input energy value include: , in, For time Battery discharge power at that time.

[0026] Calculate the fuel equivalent energy value include: , in, For fuel consumption quality, It represents the lower heating value of the fuel.

[0027] Specifically, calculate the thermal stress index value. include: , in, To test the duration of the operating condition, The start time of the test condition. The end time of the test condition. For time Battery temperature at that time The safe temperature threshold for the battery. The maximum reference temperature difference that allows for overheating.

[0028] Specifically, calculate the power distribution smoothness index. include: , in, For time The rate of change of the engine power distribution ratio.

[0029] Specifically, calculation time Engine power distribution ratio It represents the target share of traction power undertaken by the engine (1 = all engine, 0 = all electric drive), specifically including: , in, For the Sigmoid function, The weights are the states of charge. For power weighting, For time traction power demand This refers to the vehicle's peak traction power. The weights of the environmental correction factors, As an environmental correction factor, The weighting is based on temperature.

[0030] Preferred time Traction power demand include: , Calculation time Effective traction of the vehicle include: , in, For the quality of the car, For time Car acceleration, For rolling resistance, For air resistance, This refers to the slope resistance.

[0031] Calculate rolling resistance include: , in, Acceleration due to gravity, As the reference rolling resistance coefficient, This is an altitude correction factor used to describe the effect of air pressure at high altitudes on tire deformation. As a speed-affecting factor, For reference speed.

[0032] Calculate air resistance include: , in, air density, The vehicle's frontal area. As the reference air drag coefficient, This is the plateau effect amplification factor, used to correct for the additional drag caused by thin air and unstable flow field.

[0033] Calculate ramp resistance include: , in, This refers to the road slope angle.

[0034] Step 103: Map the energy management system performance evaluation index to a comprehensive performance score to quantify the overall performance level of the energy management system under plateau road conditions.

[0035] Specifically, mapping the energy management system performance evaluation index to a comprehensive performance score includes mapping the energy management system performance evaluation index to a comprehensive performance score of 0–100.

[0036] Example 2 like Figure 2 As shown in the figure, this embodiment proposes a performance evaluation system for the energy management system of a hybrid electric vehicle on plateau roads, including: The information acquisition module is used to construct environmental correction factors based on the environmental information of the plateau road. The environmental information includes: the altitude of the plateau road, the crosswind speed of the plateau road, the ambient temperature of the plateau road, and the atmospheric pressure of the plateau road. Preferably, environmental correction factors are constructed based on environmental information, specifically including: , in, As an environmental correction factor, The altitude of the road is the altitude for high-altitude road conditions. For reference altitude, This is an adjustment factor for altitude (example values ​​can be 0.05–0.15). As a weight of ambient temperature, The ambient temperature for high-altitude road conditions. For reference temperature, This is an adjustment factor for ambient temperature (example values ​​can be 0.003–0.01 / K). As the weight of crosswind speed, Crosswind speed for high-altitude road conditions, For reference wind speed, This is an adjustment factor for crosswind speed (example values ​​can be...). ), As a weight of atmospheric pressure, The atmospheric pressure for high-altitude road conditions. Reference atmospheric pressure.

[0037] The model setting module is used to set the performance evaluation model of the energy management system and calculate the performance evaluation index of the energy management system based on the environmental information. The performance evaluation model of the energy management system consists of normalized energy deviation value, thermal stress index value, power distribution smoothness index and battery SOC. The change rate of engine power distribution ratio is calculated through the environmental correction factor, and the power distribution smoothness index is calculated. Specifically, the performance evaluation model for the energy management system includes: , in, This is a performance evaluation index for energy management systems. The weights for normalizing energy deviation values, This is the normalized energy deviation value. As the weight of the thermal stress index value, This is the thermal stress index value. Assign weights to the smoothness index for power. The power distribution smoothness index, The weights are the states of charge. For time State of charge, For reference state of charge, , , and The sum is 1; The comprehensive performance score, which maps the energy management system performance evaluation index to 0–100, includes: , in, For comprehensive performance scoring, This is a scale constant used to adjust the sensitivity.

[0038] Specifically, calculate the normalized energy deviation value. include: , in, Input energy value to the battery, This is the equivalent energy value of fuel. For traction energy output value, To prevent the removal of the zero constant.

[0039] Preferably, the traction energy output value is calculated. include: , in, For time Effective traction of the vehicle at that time For time Vehicle speed at that time.

[0040] Calculate the battery input energy value include: , in, For time Battery discharge power at that time.

[0041] Calculate the fuel equivalent energy value include: , in, For fuel consumption quality, It represents the lower heating value of the fuel.

[0042] Specifically, calculate the thermal stress index value. include: , in, To test the duration of the operating condition, The start time of the test condition. The end time of the test condition. For time Battery temperature at that time The safe temperature threshold for the battery. The maximum reference temperature difference that allows for overheating.

[0043] Specifically, calculate the power distribution smoothness index. include: , in, For time The rate of change of the engine power distribution ratio.

[0044] Specifically, calculation time Engine power distribution ratio It represents the target share of traction power undertaken by the engine (1 = all engine, 0 = all electric drive), specifically including: , in, For the Sigmoid function, The weights are the states of charge. For power weighting, For time traction power demand This refers to the vehicle's peak traction power. The weights of the environmental correction factors, As an environmental correction factor, The weighting is based on temperature.

[0045] Preferred time Traction power demand include: , Calculation time Effective traction of the vehicle include: , in, For the quality of the car, For time Car acceleration, For rolling resistance, For air resistance, This refers to the slope resistance.

[0046] Calculate rolling resistance include: , in, Acceleration due to gravity, As the reference rolling resistance coefficient, This is an altitude correction factor (example values ​​can be 1.00–1.20; rolling resistance increases by approximately +2% to +4% for every 1000 meters increase in altitude), used to describe the effect of air pressure at high altitudes on tire deformation. This is the speed impact factor (example values ​​can be 0.02–0.08). For reference speed.

[0047] Calculate air resistance include: , in, air density, The vehicle's frontal area. As the reference air drag coefficient, This is the plateau effect amplification factor (example values ​​can be 0.05–0.20), used to correct for additional drag caused by thin air and unstable flow field.

[0048] Calculate ramp resistance include: , in, This refers to the road slope angle.

[0049] The evaluation module is used to map the performance evaluation index of the energy management system to a comprehensive performance score, so as to quantify the overall performance level of the energy management system under plateau road conditions.

[0050] Specifically, mapping the energy management system performance evaluation index to a comprehensive performance score includes mapping the energy management system performance evaluation index to a comprehensive performance score of 0–100.

[0051] Example 3 This invention also proposes a storage medium storing multiple instructions for implementing the aforementioned performance evaluation method for a hybrid electric vehicle energy management system for plateau roads.

[0052] Optionally, in this embodiment, the storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0053] Optionally, in this embodiment, the storage medium is configured to store program code for performing the following method steps: Step 101, constructing an environmental correction factor based on the environmental information of the plateau road, wherein the environmental information includes: altitude of the plateau road conditions, crosswind speed of the plateau road conditions, ambient temperature of the plateau road conditions, and atmospheric pressure of the plateau road conditions. Preferably, environmental correction factors are constructed based on environmental information, specifically including: , in, As an environmental correction factor, The altitude of the road is the altitude for high-altitude road conditions. For reference altitude, This is an adjustment factor for altitude. As a weight of ambient temperature, The ambient temperature for high-altitude road conditions. For reference temperature, As an adjustment factor for ambient temperature, As the weight of crosswind speed, Crosswind speed for high-altitude road conditions, For reference wind speed, This is an adjustment factor for crosswind speed. As a weight of atmospheric pressure, The atmospheric pressure for high-altitude road conditions. Reference atmospheric pressure.

[0054] Step 102: Set up an energy management system performance evaluation model and calculate the energy management system performance evaluation index based on the environmental information. The energy management system performance evaluation model consists of normalized energy deviation value, thermal stress index value, power distribution smoothness index and battery SOC. The change rate of engine power distribution ratio is calculated through the environmental correction factor, and the power distribution smoothness index is calculated. Specifically, the performance evaluation model for the energy management system includes: , in, This is a performance evaluation index for energy management systems. The weights for normalizing energy deviation values, This is the normalized energy deviation value. As the weight of the thermal stress index value, This is the thermal stress index value. Assign weights to the smoothness index for power. The power distribution smoothness index, The weights are the states of charge. For time State of charge, For reference state of charge, , , and The sum is 1; The comprehensive performance score, which maps the energy management system performance evaluation index to 0–100, includes: , in, For comprehensive performance scoring, This is a scale constant used to adjust the sensitivity.

[0055] Specifically, calculate the normalized energy deviation value. include: , in, Input energy value to the battery, This is the equivalent energy value of fuel. For traction energy output value, To prevent the removal of the zero constant.

[0056] Preferably, the traction energy output value is calculated. include: , in, For time Effective traction of the vehicle at that time For time Vehicle speed at that time.

[0057] Calculate the battery input energy value include: , in, For time Battery discharge power at that time.

[0058] Calculate the fuel equivalent energy value include: , in, For fuel consumption quality, It represents the lower heating value of the fuel.

[0059] Specifically, calculate the thermal stress index value. include: , in, To test the duration of the operating condition, The start time of the test condition. The end time of the test condition. For time Battery temperature at that time The safe temperature threshold for the battery. The maximum reference temperature difference that allows for overheating.

[0060] Specifically, calculate the power distribution smoothness index. include: , in, For time The rate of change of the engine power distribution ratio.

[0061] Specifically, calculation time Engine power distribution ratio It represents the target share of traction power undertaken by the engine (1 = all engine, 0 = all electric drive), specifically including: , in, For the Sigmoid function, The weights are the states of charge. For power weighting, For time traction power demand This refers to the vehicle's peak traction power. The weights of the environmental correction factors, As an environmental correction factor, The weighting is based on temperature.

[0062] Preferred time Traction power demand include: , Calculation time Effective traction of the vehicle include: , in, For the quality of the car, For time Car acceleration, For rolling resistance, For air resistance, This refers to the slope resistance.

[0063] Calculate rolling resistance include: , in, Acceleration due to gravity, As the reference rolling resistance coefficient, This is an altitude correction factor used to describe the effect of air pressure at high altitudes on tire deformation. As a speed-affecting factor, For reference speed.

[0064] Calculate air resistance include: , in, air density, The vehicle's frontal area. As the reference air drag coefficient, This is the plateau effect amplification factor, used to correct for the additional drag caused by thin air and unstable flow field.

[0065] Calculate ramp resistance include: , in, This refers to the road slope angle.

[0066] Step 103: Map the energy management system performance evaluation index to a comprehensive performance score to quantify the overall performance level of the energy management system under plateau road conditions.

[0067] Specifically, mapping the energy management system performance evaluation index to a comprehensive performance score includes mapping the energy management system performance evaluation index to a comprehensive performance score of 0–100.

[0068] Example 4 This invention also proposes an electronic device, including a processor and a storage medium connected to the processor. The storage medium stores multiple instructions, which can be loaded and executed by the processor to enable the processor to execute the performance evaluation method for a hybrid electric vehicle energy management system on plateau roads.

[0069] Specifically, the electronic device in this embodiment can be a computer terminal, which may include one or more processors and a storage medium.

[0070] The storage medium can be used to store software programs and modules, such as the performance evaluation method for a hybrid electric vehicle energy management system on high-altitude roads in this embodiment of the invention. The corresponding program instructions / modules are executed by the processor through running the software programs and modules stored in the storage medium, thereby performing various functional applications and data processing, thus realizing the aforementioned performance evaluation method for a hybrid electric vehicle energy management system on high-altitude roads. The storage medium may include high-speed random access storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely configured relative to the processor, which can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0071] The processor can call the information and application stored in the storage medium through the transmission system to execute the following method steps: Step 101, construct an environmental correction factor based on the environmental information of the plateau road, wherein the environmental information includes: the altitude of the plateau road, the crosswind speed of the plateau road, the ambient temperature of the plateau road, and the atmospheric pressure of the plateau road. Preferably, environmental correction factors are constructed based on environmental information, specifically including: , in, As an environmental correction factor, The altitude of the road is the altitude for high-altitude road conditions. For reference altitude, This is an adjustment factor for altitude. As a weight of ambient temperature, The ambient temperature for high-altitude road conditions. For reference temperature, As an adjustment factor for ambient temperature, As the weight of crosswind speed, Crosswind speed for high-altitude road conditions, For reference wind speed, This is an adjustment factor for crosswind speed. As a weight of atmospheric pressure, The atmospheric pressure for high-altitude road conditions. Reference atmospheric pressure.

[0072] Step 102: Set up an energy management system performance evaluation model and calculate the energy management system performance evaluation index based on the environmental information. The energy management system performance evaluation model consists of normalized energy deviation value, thermal stress index value, power distribution smoothness index and battery SOC. The change rate of engine power distribution ratio is calculated through the environmental correction factor, and the power distribution smoothness index is calculated. Specifically, the performance evaluation model for the energy management system includes: , in, This is a performance evaluation index for energy management systems. The weights for normalizing energy deviation values, This is the normalized energy deviation value. As the weight of the thermal stress index value, This is the thermal stress index value. Assign weights to the smoothness index for power. The power distribution smoothness index, The weights are the states of charge. For time State of charge, For reference state of charge, , , and The sum is 1; The comprehensive performance score, which maps the energy management system performance evaluation index to 0–100, includes: , in, For comprehensive performance scoring, This is a scale constant used to adjust the sensitivity.

[0073] Specifically, calculate the normalized energy deviation value. include: , in, Input energy value to the battery, This is the equivalent energy value of fuel. For traction energy output value, To prevent the removal of the zero constant.

[0074] Preferably, the traction energy output value is calculated. include: , in, For time Effective traction of the vehicle at that time For time Vehicle speed at that time.

[0075] Calculate the battery input energy value include: , in, For time Battery discharge power at that time.

[0076] Calculate the fuel equivalent energy value include: , in, For fuel consumption quality, It represents the lower heating value of the fuel.

[0077] Specifically, calculate the thermal stress index value. include: , in, To test the duration of the operating condition, The start time of the test condition. The end time of the test condition. For time Battery temperature at that time The safe temperature threshold for the battery. The maximum reference temperature difference that allows for overheating.

[0078] Specifically, calculate the power distribution smoothness index. include: , in, For time The rate of change of the engine power distribution ratio.

[0079] Specifically, calculation time Engine power distribution ratio It represents the target share of traction power undertaken by the engine (1 = all engine, 0 = all electric drive), specifically including: , in, For the Sigmoid function, The weights are the states of charge. For power weighting, For time traction power demand This refers to the vehicle's peak traction power. The weights of the environmental correction factors, As an environmental correction factor, The weighting is based on temperature.

[0080] Preferred time Traction power demand include: , Calculation time Effective traction of the vehicle include: , in, For the quality of the car, For time Car acceleration, For rolling resistance, For air resistance, This refers to the slope resistance.

[0081] Calculate rolling resistance include: , in, Acceleration due to gravity, As the reference rolling resistance coefficient, This is an altitude correction factor used to describe the effect of air pressure at high altitudes on tire deformation. As a speed-affecting factor, For reference speed.

[0082] Calculate air resistance include: , in, air density, The vehicle's frontal area. As the reference air drag coefficient, This is the plateau effect amplification factor, used to correct for the additional drag caused by thin air and unstable flow field.

[0083] Calculate ramp resistance include: , in, This refers to the road slope angle.

[0084] Step 103: Map the energy management system performance evaluation index to a comprehensive performance score to quantify the overall performance level of the energy management system under plateau road conditions.

[0085] Specifically, mapping the energy management system performance evaluation index to a comprehensive performance score includes mapping the energy management system performance evaluation index to a comprehensive performance score of 0–100.

[0086] 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.

[0087] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0088] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The system embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0089] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0090] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0091] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, optical disks, and other media capable of storing program code.

[0092] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A performance evaluation method for the energy management system of a hybrid electric vehicle for plateau roads, characterized in that, include: Based on the environmental information of plateau roads, an environmental correction factor is constructed, wherein the environmental information includes: altitude of plateau road conditions, crosswind speed of plateau road conditions, ambient temperature of plateau road conditions, and atmospheric pressure of plateau road conditions. An energy management system performance evaluation model is set up, and an energy management system performance evaluation index is calculated based on the environmental information. The energy management system performance evaluation model consists of normalized energy deviation value, thermal stress index value, power distribution smoothness index and battery SOC. The change rate of engine power distribution ratio is calculated through the environmental correction factor, and the power distribution smoothness index is calculated. The performance evaluation index of the energy management system is mapped to a comprehensive performance score to quantify the overall performance level of the energy management system under plateau road conditions.

2. The performance evaluation method for a hybrid electric vehicle energy management system on plateau roads as described in claim 1, characterized in that, Mapping the energy management system performance evaluation index to a comprehensive performance score includes mapping the energy management system performance evaluation index to a comprehensive performance score of 0–100.

3. The performance evaluation method for a hybrid electric vehicle energy management system on plateau roads as described in claim 1, characterized in that, The performance evaluation model for energy management systems includes: ， in, This is a performance evaluation index for energy management systems. The weights for normalizing energy deviation values, This is the normalized energy deviation value. As the weight of the thermal stress index value, This is the thermal stress index value. Assign weights to the smoothness index for power. The power distribution smoothness index, The weights are the states of charge. For time State of charge, For reference state of charge, , , and The sum is 1; The comprehensive performance score, which maps the energy management system performance evaluation index to 0–100, includes: ， in, For overall performance scoring, This is a scale constant used to adjust the sensitivity.

4. The performance evaluation method for the energy management system of a hybrid electric vehicle on plateau roads as described in claim 3, characterized in that, Calculate the normalized energy deviation value include: ， in, Input energy value to the battery, This is the equivalent energy value of fuel. To drive energy output value, To prevent the removal of the zero constant.

5. The performance evaluation method for a hybrid electric vehicle energy management system on plateau roads as described in claim 3, characterized in that, Calculate thermal stress index values include: ， in, To test the duration of the operating condition, The start time of the test condition. The end time of the test condition. For time Battery temperature at that time The safe temperature threshold for the battery. The maximum reference temperature difference that allows for overheating.

6. The performance evaluation method for the energy management system of a hybrid electric vehicle on plateau roads as described in claim 3, characterized in that, Calculate the power distribution smoothness index include: ， in, For time The rate of change of the engine power distribution ratio.

7. The performance evaluation method for a hybrid electric vehicle energy management system on plateau roads as described in claim 6, characterized in that, Calculation time Engine power distribution ratio include: ， in, For the Sigmoid function, The weights are the states of charge. For power weighting, For time traction power demand This refers to the vehicle's peak traction power. The weights of the environmental correction factors, As an environmental correction factor, The weighting is based on temperature.

8. A performance evaluation system for the energy management system of a hybrid electric vehicle for high-altitude roads, characterized in that, include: The information acquisition module is used to construct environmental correction factors based on the environmental information of the plateau road. The environmental information includes: altitude of the plateau road, crosswind speed of the plateau road, ambient temperature of the plateau road, and atmospheric pressure of the plateau road. The model setting module is used to set the performance evaluation model of the energy management system and calculate the performance evaluation index of the energy management system based on the environmental information. The performance evaluation model of the energy management system consists of normalized energy deviation value, thermal stress index value, power distribution smoothness index and battery SOC. The change rate of engine power distribution ratio is calculated through the environmental correction factor, and the power distribution smoothness index is calculated. The evaluation module is used to map the performance evaluation index of the energy management system to a comprehensive performance score, so as to quantify the overall performance level of the energy management system under plateau road conditions.

9. The performance evaluation system for the energy management system of a hybrid electric vehicle on plateau roads as described in claim 8, characterized in that, Mapping the energy management system performance evaluation index to a comprehensive performance score includes mapping the energy management system performance evaluation index to a comprehensive performance score of 0–100.

10. The performance evaluation system for the energy management system of a hybrid electric vehicle on plateau roads as described in claim 8, characterized in that, The performance evaluation model for energy management systems includes: ， in, This is a performance evaluation index for energy management systems. The weights for normalizing energy deviation values, This is the normalized energy deviation value. As the weight of the thermal stress index value, This is the thermal stress index value. Assign weights to the smoothness index for power. The power distribution smoothness index, The weights are the states of charge. For time State of charge, For reference state of charge, , , and The sum is 1; The comprehensive performance score, which maps the energy management system performance evaluation index to 0–100, includes: ， in, For overall performance scoring, This is a scale constant used to adjust the sensitivity.

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