Vehicle energy consumption simulation system and platform

Abstract

The invention discloses a vehicle energy consumption simulation system and platform, the vehicle energy consumption simulation system comprises a plurality of vehicle in-the-loop, each vehicle in-the-loop comprises a scene simulation module, and the scene simulation module is used for simulating various simulation road condition scenes of a vehicle; and the energy consumption calculation module is connected with the plurality of vehicles in the loop and is used for calculating the energy consumption information corresponding to the vehicles in the various simulated road condition scenes in the loop of each vehicle. Therefore, energy consumption calculation when the vehicle is controlled by different driving behaviors and intelligent driving algorithms in various scenes can be realized, and the test cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of energy consumption simulation, and particularly relates to a vehicle energy consumption simulation system and platform. Background Art

[0002] Current automotive energy consumption tests mainly include on-road vehicle tests and bench tests. The on-road vehicle test evaluates energy consumption by driving on actual roads, while the bench test simulates specific working conditions using equipment such as chassis dynamometers under laboratory conditions for testing.

[0003] In on-road vehicle tests, sensors and data acquisition systems are used to record and analyze vehicle driving data in real time, including indicators such as speed, acceleration, and energy consumption. However, the test process is easily affected by various uncontrollable factors such as weather, wind speed, and traffic conditions, making it difficult to ensure the consistency and accuracy of test results. In terms of bench tests, the chassis dynamometer can only perform energy consumption tests under specific working conditions, such as energy consumption tests at specific vehicle speeds on the roller, and cannot comprehensively reflect various complex situations that a vehicle may encounter during actual road driving. Moreover, the costs of both tests are relatively high. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems in the related art to some extent. For this purpose, the first object of the present invention is to propose a vehicle energy consumption simulation system, which can calculate the energy consumption when different driving behaviors and intelligent driving algorithms control the vehicle respectively in various scenarios, and reduces the test cost.

[0005] The second object of the present invention is to propose a vehicle energy consumption simulation platform.

[0006] To achieve the above object, an embodiment of the first aspect of the present invention proposes a vehicle energy consumption simulation system, wherein the system includes: a plurality of in-vehicle loops, each in-vehicle loop includes a scenario simulation module for simulating various simulated road condition scenarios of the vehicle; an energy consumption calculation module connected to the plurality of in-vehicle loops for calculating the energy consumption information corresponding to the vehicle in each in-vehicle loop in the various simulated road condition scenarios.

[0007] According to the vehicle energy consumption simulation system of the embodiment of the present invention, the scenario simulation module of the plurality of in-vehicle loops is used to simulate various simulated road condition scenarios of the vehicle, and the energy consumption calculation module is connected to the plurality of in-vehicle loops for calculating the energy consumption information corresponding to the vehicle in each in-vehicle loop in the various simulated road condition scenarios. Thus, the energy consumption calculation when different driving behaviors and intelligent driving algorithms control the vehicle respectively in various scenarios can be realized, and the test cost is reduced.

[0008] In addition, the vehicle energy consumption simulation system according to the above embodiments of the present invention may further include the following additional technical features:

[0009] According to an embodiment of the present invention, the multiple in-vehicle loops include an intelligent driving in-loop and a manual driving in-loop. Among them, the intelligent driving in-loop includes an interconnected intelligent driving algorithm module, a first scenario simulation module, and a vehicle dynamics module, and the manual driving in-loop includes an interconnected driver operation module, a second scenario simulation module, and the vehicle dynamics module.

[0010] According to an embodiment of the present invention, the energy consumption calculation module is connected to the vehicle dynamics module. After the vehicle in-loop completes the simulation, the vehicle dynamics module generates vehicle operation information, so that the energy consumption calculation module calculates the energy consumption information corresponding to the vehicle in the vehicle in-loop according to the vehicle operation information.

[0011] According to an embodiment of the present invention, the energy consumption information includes the driving energy consumption value, the load energy consumption value, and the energy recovery value of the vehicle.

[0012] According to an embodiment of the present invention, the energy recovery value is determined according to the maximum torque and braking torque of the vehicle's motor. Among them, when the braking torque is less than or equal to the maximum torque of the motor, energy recovery is performed according to the braking torque; when the braking torque is greater than the maximum torque of the motor, energy recovery is performed according to the maximum torque of the motor.

[0013] According to an embodiment of the present invention, the intelligent driving algorithm module generates a first control instruction based on the first simulation environment provided by the first scenario simulation module and the vehicle simulation information provided by the vehicle dynamics module, so that the vehicle dynamics module completes the simulation of the intelligent driving in-loop based on the first control instruction; the driver operation module generates a second control instruction based on the second simulation environment provided by the second scenario simulation module, so that the vehicle dynamics module completes the simulation of the manual driving in-loop based on the second control instruction.

[0014] According to an embodiment of the present invention, after the vehicle dynamics module completes the intelligent driving in-loop simulation based on the first control instruction, it generates first vehicle operation information, and after completing the manual driving in-loop simulation based on the second control instruction, it generates second vehicle operation information. The energy consumption calculation module is used to calculate the first energy consumption information corresponding to the vehicle in the intelligent driving in-loop in the first simulation environment according to the first vehicle operation information, and calculate the second energy consumption information corresponding to the vehicle in the manual driving in-loop in the second simulation environment according to the second vehicle operation information.

[0015] According to an embodiment of the present invention, the system further includes: a data recording module, which is respectively connected to the energy consumption calculation module and the vehicle dynamics module, and is configured to record the first energy consumption information, the second energy consumption information, the first vehicle operation information, and the second vehicle operation information, and use the first energy consumption information, the second energy consumption information, the first vehicle operation information, and the second vehicle operation information as the adjustment basis for the intelligent driving algorithm in the intelligent driving algorithm module.

[0016] According to an embodiment of the present invention, the standard energy consumption information of the vehicle in a preset scenario is stored in the vehicle dynamics module, and the plurality of vehicles in the loop are configured such that the difference between the energy consumption information corresponding to the vehicle in the preset simulation scenario and the standard energy consumption information is less than a preset difference, wherein the preset simulation scenario is obtained by the scenario simulation module simulating the preset scenario.

[0017] To achieve the above object, an embodiment of the second aspect of the present invention proposes a vehicle energy consumption simulation platform, which includes the vehicle energy consumption simulation system of the foregoing embodiment of the present invention.

[0018] According to the vehicle energy consumption simulation platform of the embodiment of the present invention, by adopting the vehicle energy consumption simulation system of the above embodiment of the present invention, it is possible to calculate the energy consumption when different driving behaviors and intelligent driving algorithms control the vehicle respectively in various scenarios, and reduce the test cost.

[0019] Additional aspects and advantages of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. Description of the Drawings

[0020] Figure 1 is a block diagram of a vehicle energy consumption simulation system according to an embodiment of the present invention;

[0021] Figure 2 is a block diagram of a vehicle energy consumption simulation system according to another embodiment of the present invention;

[0022] Figure 3 is a block diagram of a vehicle energy consumption simulation system according to still another embodiment of the present invention;

[0023] Figure 4 is a block diagram of a vehicle energy consumption simulation system according to yet another embodiment of the present invention;

[0024] Figure 5 is a block diagram of a vehicle energy consumption simulation platform according to an embodiment of the present invention. Detailed Embodiments

[0025] Embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0026] The vehicle energy consumption simulation system and vehicle energy consumption simulation platform according to an embodiment of the present invention will be described below with reference to the accompanying drawings.

[0027] Figure 1 It is a block diagram of a vehicle energy consumption simulation system according to an embodiment of the present invention.

[0028] Specifically, in some embodiments of the present invention, the vehicle energy consumption simulation system includes: a plurality of in-vehicle loops, each in-vehicle loop includes a scenario simulation module for simulating various simulated road condition scenarios of the vehicle; an energy consumption calculation module connected to the plurality of in-vehicle loops for calculating the energy consumption information corresponding to the vehicle in each in-vehicle loop in various simulated road condition scenarios.

[0029] Specifically, in this embodiment, as Figure 1 shown, the vehicle energy consumption simulation system 100 includes a plurality of in-vehicle loops, such as in-vehicle loop 1, in-vehicle loop 2, and in-vehicle loop 3, etc. The present invention may not specifically limit the number of in-vehicle loops. Each in-vehicle loop includes a scenario simulation module for simulating various simulated road condition scenarios of the vehicle. The vehicle energy consumption simulation system 100 further includes an energy consumption calculation module 10 connected to in-vehicle loops such as in-vehicle loop 1, in-vehicle loop 2, and in-vehicle loop 3 for calculating the energy consumption information corresponding to the vehicle in each in-vehicle loop in various simulated road condition scenarios.

[0030] Furthermore, in some embodiments of the present invention, the plurality of in-vehicle loops include an in-vehicle loop for intelligent driving and an in-vehicle loop for manual driving. Among them, the in-vehicle loop for intelligent driving includes an interconnected intelligent driving algorithm module, a first scenario simulation module, and a vehicle dynamics module, and the in-vehicle loop for manual driving includes an interconnected driver operation module, a second scenario simulation module, and a vehicle dynamics module.

[0031] Specifically, in this embodiment, as Figure 2As shown in the figure, the multi-vehicle-in-the-loop includes the intelligent driving in the loop 20 and the manual driving in the loop 30. Among them, the intelligent driving in the loop 20 includes an interconnected intelligent driving algorithm module 21, a first scenario simulation module 22, and a vehicle dynamics module 23. The manual driving in the loop 30 includes an interconnected driver operation module 31, a second scenario simulation module 32, and a vehicle dynamics module 23. Among them, the intelligent driving in the loop 20 and the manual driving in the loop 30 share a vehicle dynamics module 23. The first scenario simulation module 22 provides simulation sensor data, such as information on lane lines and obstacles, to the intelligent driving algorithm module 21. The vehicle dynamics module 23 provides vehicle-related information, such as the vehicle's speed, acceleration, and yaw rate, to the intelligent driving algorithm module 21. After the intelligent driving algorithm module 21 receives the vehicle-related information, the intelligent driving algorithm module 21 will send relevant control instructions, such as acceleration control instructions, braking deceleration control instructions, and / or steering wheel angle control instructions, to the vehicle dynamics module 23 according to the vehicle-related information and the simulation sensor data. The vehicle dynamics module 23 and the first scenario simulation module 22 will synchronize the vehicle pose and vehicle operation data, and then complete the simulation of the intelligent driving in the loop 20 through the intelligent driving algorithm module 21, the first scenario simulation module 22, and the vehicle dynamics module 23.

[0032] The second scenario simulation module 32 sends information such as the road traffic scenario and the vehicle speed on the instrument to the driver operation module 31. The driver operation module 31 generates acceleration control instructions, braking deceleration control instructions, and / or steering wheel angle control instructions, etc., according to this information, and sends the acceleration control instructions, braking deceleration control instructions, and / or steering wheel angle control instructions, etc., to the vehicle dynamics module 23. After the vehicle dynamics module 23 responds to these instructions, it sends the vehicle's own pose and vehicle operation data to the second scenario simulation module 32, and then completes the simulation of the manual driving in the loop 30 through the driver operation module 31, the second scenario simulation module 32, and the vehicle dynamics module 23.

[0033] Furthermore, in some embodiments of the present invention, the energy consumption calculation module is connected to the vehicle dynamics module. The vehicle dynamics module generates vehicle operation information after the vehicle-in-the-loop simulation is completed, so that the energy consumption calculation module calculates the energy consumption information corresponding to the vehicle in the vehicle-in-the-loop according to the vehicle operation information.

[0034] Specifically, in this embodiment, such as Figure 3As shown, the energy consumption calculation module 40 is connected to the vehicle dynamics module 23. The vehicle dynamics module 23 generates vehicle operation information after the vehicle-in-the-loop simulation is completed, so that the energy consumption calculation module 40 can calculate the energy consumption information corresponding to the vehicle in the vehicle-in-the-loop according to the vehicle operation information. Among them, the vehicle operation information includes information such as the motor torque, motor speed, vehicle speed, and wheel-end torque of the vehicle, and the energy consumption information includes the driving energy consumption value, load energy consumption value, and energy recovery value of the vehicle. Furthermore, the consumption calculation module can calculate the driving energy consumption value, load energy consumption value, and energy recovery value corresponding to the vehicle in the vehicle-in-the-loop according to information such as the motor torque, motor speed, vehicle speed, and wheel-end torque of the vehicle.

[0035] The calculation of the driving energy consumption value of the vehicle includes obtaining the motor torque and speed, and using the power formula (Power = Torque × Speed × Constant Factor) to calculate the power of the motor. According to the current gear position, motor torque, and speed, the corresponding motor efficiency, electronic control efficiency, and battery discharge efficiency are found from the efficiency table. These efficiency values reflect the energy loss during the transmission process. Before calculating the energy consumption, it will first be determined whether the current state meets the energy consumption conditions, that is, the motor torque is greater than 0 (indicating that the motor is outputting power) and the speed is greater than 0 (indicating that the motor is rotating). Only when these two conditions are met simultaneously will the subsequent energy consumption calculation be carried out. Using the power of the motor, the instantaneous energy consumption at each time step can be calculated. Then, these instantaneous energy consumptions are integrated (or accumulated) over time to obtain the total energy consumption over a period of time. Finally, in combination with the motor efficiency, electronic control efficiency, and battery discharge efficiency, the total energy consumption is further corrected to obtain the energy loss value at the battery end caused by the drive system, that is, the driving energy consumption value. It should be noted that the motor torque and speed of the vehicle are different in different gear positions. Therefore, it is necessary to calculate the energy consumption of each gear separately, and finally add the energy consumptions in different gear positions to obtain the driving energy consumption value. For example, calculate the energy consumption of the vehicle in the 1st gear and 2nd gear separately and add them to obtain the driving energy consumption value of the vehicle.

[0036] The calculation of the load energy consumption value of the vehicle includes obtaining the power values and usage times of various loads on the vehicle. The various loads include air conditioners, screens in the cockpit, instruments, lighting systems, audio systems, etc. Furthermore, the load energy consumption value of the vehicle is calculated according to the power values and usage times of the loads.

[0037] Furthermore, in some embodiments of the present invention, the energy recovery value is determined according to the maximum motor torque and braking torque of the vehicle. Among them, when the braking torque is less than or equal to the maximum motor torque, energy recovery is carried out according to the braking torque; when the braking torque is greater than the maximum motor torque, energy recovery is carried out according to the maximum motor torque.

[0038] Specifically, in this embodiment, the current wheel-end braking torque of the vehicle is obtained, and the obtained wheel-end braking torque is compared with the maximum negative torque of the motor (i.e., the maximum braking torque that the motor can apply). If the braking torque is less than or equal to the maximum torque of the motor, it is determined that all braking energy can be recovered by the motor. If the braking torque is greater than the maximum torque of the motor, only part of the braking energy (i.e., the part corresponding to the maximum torque of the motor) can be recovered by the motor. The current wheel-end speed of the vehicle is obtained, and according to the wheel-end braking torque and the current wheel-end speed, the power formula (Power = Torque × Speed / 9550, where 9550 is a constant used to convert torque and speed into power units) is used to calculate the power of the wheel-end. Then, the efficiency at each level is obtained by looking up a table based on the power of the wheel-end, including the efficiency of the transmission system, the power generation efficiency of the motor, and the charging efficiency of the battery, etc. Furthermore, the effective power that the motor can actually recover is calculated based on the wheel-end power and the efficiency at each level. The duration of the braking process is obtained to calculate the recovered energy according to the duration and the effective power, so as to perform energy recovery. It should be noted that the efficiency at each level is different when the vehicle is in different gears. Therefore, it is necessary to calculate the recovered energy for each gear separately, and finally add up the recovered energies in different gears to obtain the recovered energy value. For example, calculate and add up the recovered energies when the vehicle is in the first gear and the second gear to obtain the recovered energy value of the vehicle.

[0039] Furthermore, in some embodiments of the present invention, the intelligent driving algorithm module generates a first control instruction based on the first simulation environment provided by the first scenario simulation module and the vehicle simulation information provided by the vehicle dynamics module, so that the vehicle dynamics module completes the simulation of intelligent driving in the loop based on the first control instruction; the driver operation module generates a second control instruction based on the second simulation environment provided by the second scenario simulation module, so that the vehicle dynamics module completes the simulation of manual driving in the loop based on the second control instruction.

[0040] Specifically, in this embodiment, as Figure 2As shown, the intelligent driving algorithm module 21 generates a first control instruction based on the first simulation environment provided by the first scenario simulation module 22 and the vehicle simulation information provided by the vehicle dynamics module. Among them, the first simulation environment includes key elements such as lane lines, obstacles, and traffic signals, which together constitute various scenarios that the intelligent driving system needs to handle. Parameters such as road type, weather conditions, and traffic density can be adjusted according to test requirements to simulate different driving environments. The vehicle simulation information includes information such as the vehicle's speed, acceleration, and yaw rate. The first control instruction includes an acceleration control instruction (for adjusting the vehicle speed), a braking deceleration control instruction (for emergency braking or deceleration), and / or a steering wheel angle control instruction (for steering operations), etc., which are not specifically defined here. Furthermore, the vehicle dynamics module 22 receives the first control instruction generated by the intelligent driving algorithm module and simulates the actual movement of the vehicle based on the first control instruction to complete the simulation of intelligent driving in the loop. Thereby, the safety and reliability of the intelligent driving algorithm can be improved.

[0041] The driver operation module 31 generates a second control instruction based on the second simulation environment provided by the second scenario simulation module 32. Among them, the second simulation environment includes various road elements (such as lanes, intersections, traffic signs, etc.) and dynamic traffic participants (such as other vehicles, pedestrians, etc.). In addition, it also includes real-time vehicle operation data such as the vehicle speed and engine speed displayed on the dashboard. According to the simulated way of how the driver observes and understands the environment, the driver operation module 31 generates a second control instruction based on the second simulation environment. Among them, the second control instruction includes an acceleration control instruction (for adjusting the vehicle speed), a braking deceleration control instruction (for emergency braking or deceleration), and / or a steering wheel angle control instruction (for steering operations), etc. The vehicle dynamics module 23 receives the second control instruction from the driver operation module 31 and simulates the actual dynamic response of the vehicle based on the second control instruction, including behaviors such as vehicle acceleration, deceleration, and steering, and the impact of these behaviors on the vehicle's position and attitude (i.e., "self-vehicle pose"). After responding to the control instruction, the vehicle dynamics module also generates and feeds back the real-time operation data of the vehicle (such as speed, acceleration, steering angle, and self-vehicle pose, etc.) to the second scenario simulation module to complete the simulation of manual driving in the loop 30.

[0042] Further, in some embodiments of the present invention, the vehicle dynamics module generates first vehicle operation information after completing the in-loop simulation of intelligent driving based on the first control instruction, and generates second vehicle operation information after completing the in-loop simulation of manual driving based on the second control instruction. The energy consumption calculation module is used to calculate the first energy consumption information corresponding to the vehicle in the first simulation environment during the in-loop simulation of intelligent driving according to the first vehicle operation information, and calculate the second energy consumption information corresponding to the vehicle in the second simulation environment during the in-loop simulation of manual driving according to the second vehicle operation information. Among them, the first vehicle operation information includes information such as the motor torque, motor speed, vehicle speed, and wheel end torque of the vehicle, the second vehicle operation information includes information such as the motor torque, motor speed, vehicle speed, and wheel end torque of the vehicle, the first energy consumption information includes the drive energy consumption value, load energy consumption value, and energy recovery value of the vehicle during the in-loop simulation of intelligent driving, and the second energy consumption information includes the drive energy consumption value, load energy consumption value, and energy recovery value of the vehicle during the in-loop simulation of manual driving. Furthermore, a direct and comprehensive comparative analysis of the energy consumption in the two driving modes can be carried out, providing a direction for subsequent optimization.

[0043] Further, in some embodiments of the present invention, as Figure 4 shown, the vehicle energy consumption simulation system 100 further includes a data recording module 50. The data recording module 50 is respectively connected to the energy consumption calculation module 40 and the vehicle dynamics module 23, and is used to record the first energy consumption information, the second energy consumption information, the first vehicle operation information, and the second vehicle operation information, and use the first energy consumption information, the second energy consumption information, the first vehicle operation information, and the second vehicle operation information as the adjustment basis for the intelligent driving algorithm in the intelligent driving algorithm module 21. Thus, the intelligent driving algorithm can be continuously improved and optimized to achieve a more energy-efficient driving strategy, thereby improving the energy efficiency of the vehicle, reducing energy consumption, and also helping to reduce the operating cost.

[0044] Further, in some embodiments of the present invention, the standard energy consumption information of the vehicle in the preset scenario is stored in the vehicle dynamics module. A plurality of vehicles in the loop are configured such that the difference between the energy consumption information corresponding to the vehicle in the preset simulation scenario and the standard energy consumption information is less than a preset difference, where the preset simulation scenario is obtained by the scenario simulation module simulating the preset scenario.

[0045] Specifically, in this embodiment, the vehicle dynamics module in the vehicle energy consumption simulation system stores the standard energy consumption information of the vehicle in preset scenarios (such as urban roads, highways, mountain roads, etc.). This information is obtained based on theoretical calculations, experimental data, or historical experience, representing the ideal energy consumption level that the vehicle should achieve in the corresponding scenario. The scenario simulation module can simulate various road conditions, traffic conditions, weather factors, etc. During the simulation process, the system calculates the energy consumption information of each vehicle in the preset simulation scenario and compares it with the standard energy consumption information stored in the vehicle dynamics module. If the difference between the energy consumption information of a certain vehicle in the preset simulation scenario and the standard energy consumption information is less than the preset difference, it is considered that the energy consumption performance of the vehicle meets the expectations or standards. For example, if the error between the energy consumption information in the preset simulation scenario and the standard energy consumption information is within 10%, it means that the difference between the energy consumption information corresponding to the vehicle in the preset simulation scenario and the standard energy consumption information is less than the preset difference, and no specific limitation is set here. Furthermore, the accuracy and reliability of the simulation results can be ensured.

[0046] In summary, according to the vehicle energy consumption simulation system of the embodiment of the present invention, the scenario simulation module with multiple vehicles in the loop is used to simulate various simulation road condition scenarios of the vehicle, and the energy consumption calculation module is connected to multiple vehicles in the loop to calculate the energy consumption information corresponding to each vehicle in the loop in various simulation road condition scenarios. Thus, the energy consumption calculation when different driving behaviors and intelligent driving algorithms control the vehicle respectively in various scenarios can be realized, and the test cost is reduced.

[0047] Figure 5 It is a block diagram of the vehicle energy consumption simulation platform according to the embodiment of the present invention.

[0048] As Figure 5 shown, the vehicle energy consumption simulation platform 1000 includes the vehicle energy consumption simulation system 100 of the foregoing embodiment of the present invention.

[0049] According to the vehicle energy consumption simulation platform of the embodiment of the present invention, by adopting the vehicle energy consumption simulation system of the above embodiment of the present invention, the energy consumption calculation when different driving behaviors and intelligent driving algorithms control the vehicle respectively in various scenarios can be realized, and the test cost is reduced.

[0050] It should be noted that the logic and / or steps represented in the flowchart or described otherwise herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in combination with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in combination with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of the computer-readable medium include the following: an electrical connection part (electronic device) having one or more wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0051] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0052] In the description of this specification, the description referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0053] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation on the present invention.

[0054] In addition, the terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically and clearly defined.

[0055] In the present invention, unless otherwise clearly specified and defined, the terms "mounted", "connected", "coupled", "fixed", etc. shall be construed in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the internal communication of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0056] In the present invention, unless otherwise clearly specified and defined, the first feature being "on" or "under" the second feature may be that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. Moreover, the first feature being "above", "over" and "on top of" the second feature may be that the first feature is directly above or obliquely above the second feature, or merely indicates that the first feature has a higher horizontal height than the second feature. The first feature being "under", "beneath" and "underneath" the second feature may be that the first feature is directly below or obliquely below the second feature, or merely indicates that the first feature has a lower horizontal height than the second feature.

[0057] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limitations on the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A vehicle energy consumption simulation system, characterized in that: The system comprises: Multiple vehicles in the loop, each of which includes a scene simulation module, and the scene simulation module is used to simulate multiple simulated road conditions of the vehicle; An energy consumption calculation module is connected to the multiple vehicles in the loop and is used to calculate the energy consumption information corresponding to each vehicle in the multiple simulated road condition scenarios.

2. The vehicle energy consumption simulation system according to claim 1, characterized in that: The multiple vehicles in the loop include an intelligent driving in the loop and a manual driving in the loop, wherein the intelligent driving in the loop includes an interconnected intelligent driving algorithm module, a first scenario simulation module and a vehicle dynamics module, and the manual driving in the loop includes an interconnected driver operation module, a second scenario simulation module and the vehicle dynamics module.

3. The vehicle energy consumption simulation system according to claim 2, characterized in that: The energy consumption calculation module is connected to the vehicle dynamics module, and the vehicle dynamics module generates vehicle operation information after the vehicle-in-the-loop completes the simulation, so that the energy consumption calculation module calculates the energy consumption information corresponding to the vehicle in the vehicle-in-the-loop according to the vehicle operation information.

4. The vehicle energy consumption simulation system according to claim 3, characterized in that: The energy consumption information includes a driving energy consumption value, a load energy consumption value and an energy recovery value of the vehicle.

5. The vehicle energy consumption simulation system according to claim 4, characterized in that: The energy recovery value is determined based on the maximum torque of the motor and the braking torque of the vehicle, wherein when the braking torque is less than or equal to the maximum torque of the motor, energy recovery is performed based on the braking torque; when the braking torque is greater than the maximum torque of the motor, energy recovery is performed based on the maximum torque of the motor.

6. The vehicle energy consumption simulation system according to claim 2, characterized in that: The intelligent driving algorithm module generates a first control instruction based on the first simulation environment provided by the first scenario simulation module and the vehicle simulation information provided by the vehicle dynamics module, so that the vehicle dynamics module completes the intelligent driving-in-the-loop simulation based on the first control instruction; the driver operation module generates a second control instruction based on the second simulation environment provided by the second scenario simulation module, so that the vehicle dynamics module completes the manual driving-in-the-loop simulation based on the second control instruction.

7. The vehicle energy consumption simulation system according to claim 6, characterized in that: The vehicle dynamics module generates first vehicle operation information after completing the intelligent driving-in-the-loop simulation based on the first control instruction, and generates second vehicle operation information after completing the manual driving-in-the-loop simulation based on the second control instruction. The energy consumption calculation module is used to calculate first energy consumption information corresponding to the vehicle of the intelligent driving-in-the-loop in the first simulation environment according to the first vehicle operation information, and calculate second energy consumption information corresponding to the vehicle of the manual driving-in-the-loop in the second simulation environment according to the second vehicle operation information.

8. The vehicle energy consumption simulation system according to claim 7, characterized in that: The system further comprises: A data recording module, wherein the data recording module is respectively connected to the energy consumption calculation module and the vehicle dynamics module, and is used to record the first energy consumption information, the second energy consumption information, the first vehicle operation information, and the second vehicle operation information, and use the first energy consumption information, the second energy consumption information, the first vehicle operation information, and the second vehicle operation information as a basis for adjusting the intelligent driving algorithm in the intelligent driving algorithm module.

9. The vehicle energy consumption simulation system according to any one of claims 1 to 8, characterized in that: The vehicle dynamics module stores standard energy consumption information of the vehicle in a preset scenario, and the multiple vehicles in the loop are configured so that the difference between the energy consumption information corresponding to the vehicle in the preset simulation scenario and the standard energy consumption information is less than a preset difference, wherein the preset simulation scenario is obtained by simulating the preset scenario by the scenario simulation module.

10. A vehicle energy consumption simulation platform, characterized in that: The vehicle energy consumption simulation platform includes the vehicle energy consumption simulation system described in any one of claims 1-9.

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