CN116380495B - Emission and energy consumption test method, system, equipment and medium based on digital twin - Google Patents
Emission and energy consumption test method, system, equipment and medium based on digital twin Download PDFInfo
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Abstract
The invention relates to the field of vehicle tests, and discloses a digital twin-based emission and energy consumption test method, a system, equipment and a medium, wherein the method comprises the following steps: when a custom mode instruction is received, determining a target vehicle, a target emission value and a target energy consumption value; processing a target emission value and a target energy consumption value according to a pre-constructed target digital twin model to obtain parameters to be set, setting a chassis dynamometer, and carrying out emission and energy consumption tests on a target vehicle based on the set chassis dynamometer to obtain a detection emission value and a detection energy consumption value; determining a target parameter by combining the target emission value, the first difference value, the target energy consumption value and the second difference value; the chassis dynamometer is set based on target parameters, and the emission and energy consumption test is carried out on the target vehicle based on the chassis dynamometer, so that a target test result is obtained, the test according to the emission and energy consumption requirements on the chassis dynamometer is realized, the matching degree of the test result and the test requirements is improved, and the test effectiveness is improved.
Description
Technical Field
The invention relates to the field of vehicle tests, in particular to a digital twin-based emission and energy consumption test method, system, equipment and medium.
Background
In the actual road emission and energy consumption test, four factors of people, vehicles, test environments and equipment jointly form a test system. The driving style of a person is used as a driver, the driving style of the person influences the dynamic characteristics of a vehicle, the test environment comprises information such as weather and altitude conditions, the traffic condition comprises information such as congestion conditions, road surface characteristics and gradients, the working characteristics of an engine of the vehicle and the dynamic characteristics of the vehicle are influenced by the factors, and the emission and the energy consumption of the vehicle are directly or indirectly influenced. Therefore, the actual road emission and the energy consumption test have great randomness difference, and the randomness and the contingency of the test environment have great influence on whether the test can be successfully carried out. In order to perform the actual road discharge and energy consumption test, a lot of manpower, capital and time costs are necessarily paid, and it is difficult to satisfy the development test requirements requiring the repeatability condition.
At present, a chassis dynamometer testing method based on laboratory conditions is a currently accepted testing method with objective evaluation accuracy. However, under laboratory conditions, the degree of matching of the chassis dynamometer with the actual road conditions seriously affects the test results, and in the current laboratory chassis dynamometer test method, the driver cannot reflect the same driving behavior as the actual road.
In view of this, the present invention has been made.
Disclosure of Invention
In order to solve the technical problems, the invention provides a discharge and energy consumption test method, a system, equipment and a medium based on digital twin, which realize that when a chassis dynamometer is tested according to discharge and energy consumption requirements, parameters of the chassis dynamometer are set and fed back based on a digital twin model, so that the matching degree of the results of discharge and energy consumption tests and the test requirements is improved, and the test effectiveness is improved.
The embodiment of the invention provides a discharge and energy consumption test method based on digital twinning, which comprises the following steps:
when a custom mode instruction is received, determining a target vehicle, a target emission value and a target energy consumption value;
processing the target emission value and the target energy consumption value according to a pre-constructed target digital twin model to obtain parameters to be set of the chassis dynamometer; the target digital twin model comprises a virtual hub model, a virtual working condition model and a virtual vehicle model;
setting the chassis dynamometer based on the parameters to be set, and performing emission and energy consumption tests on the target vehicle based on the set chassis dynamometer to obtain a detected emission value and a detected energy consumption value of the target vehicle;
If the difference between the detected emission value and the target emission value is greater than a first difference and/or the difference between the detected energy consumption value and the target energy consumption value is greater than a second difference, updating model parameters of the target digital twin model based on the detected emission value and the detected energy consumption value, and returning to execute the step of processing the target emission value and the target energy consumption value according to the pre-built target digital twin model to obtain parameters to be set of the chassis dynamometer until the difference between the detected emission value and the target emission value is not greater than the first difference and the difference between the detected energy consumption value and the target energy consumption value is not greater than the second difference, and determining the parameters to be set as target parameters;
and setting the chassis dynamometer based on the target parameters, and performing emission and energy consumption tests on the target vehicle based on the set chassis dynamometer to obtain a target test result.
The embodiment of the invention provides a discharge and energy consumption test system based on digital twinning, which comprises the following components: the system comprises a main control platform, a real vehicle data acquisition platform, a test parameter construction and emission test platform and a data platform; the test parameter construction and emission test platform comprises a chassis dynamometer; wherein,,
The real vehicle data acquisition platform is used for acquiring actual road data, an actual speed change curve, an actual emission change curve and an actual energy consumption change curve;
the main control platform is used for sending the actual road data, the actual speed change curve, the actual emission change curve and the actual energy consumption change curve acquired by the actual vehicle data acquisition platform to the data platform, and sending the test instruction to a test parameter construction and emission test platform when receiving the test instruction; wherein the test instruction comprises a custom mode instruction, a random mode instruction or a reproduction mode instruction;
the test parameter construction and emission test platform is used for executing the steps of the emission and energy consumption test method based on digital twin according to any embodiment;
the data platform is used for storing the actual road data, the actual speed change curve, the actual emission change curve and the actual energy consumption change curve which are sent by the actual vehicle data acquisition platform, and storing the test parameter construction and a target test result sent by the emission test platform.
The embodiment of the invention provides electronic equipment, which comprises:
A processor and a memory;
the processor is configured to execute the steps of the digital twin based emissions and energy consumption test method of any of the embodiments by invoking a program or instructions stored in the memory.
Embodiments of the present invention provide a computer-readable storage medium storing a program or instructions that cause a computer to perform the steps of the digital twin-based emissions and energy consumption test method of any of the embodiments.
The embodiment of the invention has the following technical effects:
and when a custom mode instruction is received, acquiring a target vehicle, a target emission value and a target energy consumption value, processing the target emission value and the target energy consumption value according to a pre-constructed target digital twin model, obtaining parameters to be set of the chassis dynamometer, setting the chassis dynamometer, further, carrying out emission and energy consumption tests on the target vehicle based on the chassis dynamometer, obtaining a detection emission value and a detection energy consumption value of the target vehicle, if the difference between the detection emission value and the target emission value is larger than a first difference value and/or the difference between the detection energy consumption value and the target energy consumption value is larger than a second difference value, updating model parameters of the target digital twin model based on the detection emission value and the detection energy consumption value, and returning to execute the steps of obtaining parameters to be set of the chassis dynamometer until the difference between the detection emission value and the target emission value is not larger than the first difference value and the difference between the detection energy consumption value and the target energy consumption value is not larger than the second difference value, determining the parameters to be set as the target parameters, and setting the chassis dynamometer again, carrying out emission and energy consumption tests on the target vehicle, obtaining the target vehicle, carrying out emission and energy consumption tests based on the difference between the detection emission value and the target energy consumption value, and the chassis to be tested, and improving the requirements.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a digital twinning-based emissions and energy consumption test method provided by an embodiment of the present invention;
FIG. 2 is a schematic diagram of a digital twin based emissions and energy consumption testing system provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of another digital twin based emissions and energy consumption testing system provided by an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the invention, are within the scope of the invention.
The emission and energy consumption test method based on digital twin provided by the embodiment of the invention is mainly suitable for the situation that a test scene is constructed on a chassis dynamometer by taking a target emission value and a target energy consumption value as targets to perform repeatable emission and energy consumption tests. The emission and energy consumption test method based on digital twin provided by the embodiment of the invention can be executed by electronic equipment.
FIG. 1 is a flow chart of a digital twinning-based emissions and energy consumption test method provided by an embodiment of the present invention. Referring to fig. 1, the emission and energy consumption test method based on digital twin specifically includes:
s110, when a custom mode instruction is received, determining a target vehicle, a target emission value and a target energy consumption value.
Wherein the custom mode command is a mode for testing the custom emission value and the energy consumption value. The target vehicle is a vehicle for performing a test, the target emission value is an emission value set according to a test requirement, and the target energy consumption value is an energy consumption value set according to the test requirement. It will be appreciated that the target vehicle, target emission value, and target energy consumption value may be preselected and set by the test personnel according to the test requirements, and the specific content is not limited.
Specifically, when a custom mode instruction is received, the received custom mode instruction is parsed, and a target vehicle, a target emission value and a target energy consumption value to be tested in the custom mode are determined for subsequent processing.
S120, processing the target emission value and the target energy consumption value according to a pre-constructed target digital twin model to obtain parameters to be set of the chassis dynamometer.
The target digital twin model comprises a virtual hub model, a virtual working condition model and a virtual vehicle model. The virtual rotating hub model is a digital twin model for simulating a chassis dynamometer, and the chassis dynamometer is indoor bench test equipment for testing the performance of vehicle dynamics, emission indexes, fuel indexes and the like. The parameters to be set are parameters for setting the chassis dynamometer, and the chassis dynamometer can simulate different working conditions by setting different parameters to be set so as to achieve different resistance effects.
Specifically, taking the target emission value and the target energy consumption value as targets, constructing parameters of the chassis dynamometer through the target emission value and the target energy consumption value, obtaining a simulated emission value and an energy consumption value, if the simulated emission value and the energy consumption value do not reach the target emission value and the target energy consumption value, adjusting parameters of a virtual hub model in the target digital twin model, namely parameters of the chassis dynamometer, until the simulated emission value and the simulated energy consumption value reach the target emission value and the target energy consumption value, and determining the parameters of the virtual hub model at the moment as parameters to be set of the chassis dynamometer.
Based on the above example, the virtual hub model and the virtual working condition model in the target digital twin model are trained based on the following modes:
inputting the actual road data into the virtual working condition model to obtain output working condition parameters, and inputting the output working condition parameters into the virtual hub model to obtain output hub parameters;
setting a chassis dynamometer based on the output hub parameters, and testing a vehicle to be tested based on the set chassis dynamometer to obtain an output speed change curve;
if the error between the output speed change curve and the actual speed change curve corresponding to the actual road data is not in the first preset range, adjusting model parameters in the virtual hub model and the virtual working condition model, and returning to execute the steps of inputting the actual road data into the virtual working condition model to obtain output working condition parameters, and inputting the output working condition parameters into the virtual hub model to obtain output hub parameters;
if the error between the output speed change curve and the actual speed change curve is in a first preset range, a virtual rotating hub model and a virtual working condition model are obtained;
the vehicle to be tested is a vehicle generating an actual speed change curve, the virtual rotating hub model comprises at least one of an internal resistance model and a loading model, and the virtual working condition model comprises at least one of a rolling resistance model, a slope resistance model and an air resistance model. The actual road data may be road data during running of the vehicle, and may include actual road scene video data obtained from a driver's perspective, longitude and latitude, altitude, gradient, vehicle speed, acceleration and other data obtained through a GPS (Global Positioning System ) and other devices, working condition parameters of the vehicle itself during running of the vehicle, intelligent network connection information interacted with the outside during running of the vehicle actual road, and the like. The output working condition parameters are the working condition parameters which are output after the virtual working condition model processes the actual road data. The output rotating hub parameters are the rotating hub parameters which are output after the virtual rotating hub model processes the output working condition parameters and are used for setting the chassis dynamometer. The output speed change curve is a relation curve between time and speed generated when the vehicle to be tested is tested on the chassis dynamometer. The actual speed change curve is a relation curve between the acquired time and the speed of the vehicle to be tested under the working condition corresponding to the actual road data. It will be appreciated that the vehicle to be tested corresponding to the output speed profile and the vehicle to be tested corresponding to the actual speed profile may not be the same vehicle, but need to be of the same kind and under the same operating conditions, so that the accuracy of the test and the accuracy of the model can be ensured. The first preset range may be a preset error range, and is used for judging whether the accuracy of the virtual working condition model and the virtual hub model meets the requirement.
Specifically, the actual road data is input into the virtual working condition model, the actual road data can be analyzed, and corresponding working condition parameters, namely output working condition parameters, are determined. And further, inputting the output working condition parameters into the virtual rotating hub model, and further analyzing the output working condition parameters to determine corresponding rotating hub parameters, namely, output rotating hub parameters. Therefore, through the virtual working condition model and the virtual hub model, the actual road data can be transferred to the hub parameters of the chassis dynamometer, and the correlation effect between the actual road and the test platform is achieved. Further, the chassis dynamometer is set according to the output hub parameters, the set chassis dynamometer is used for testing a vehicle to be tested, driving characteristics the same as those of an actual road in operation are guaranteed in the testing process, a curve of speed change along with time is recorded, and an output speed change curve is obtained. Comparing the output speed change curve with the actual speed change curve corresponding to the actual road data, if the error between the output speed change curve and the actual speed change curve corresponding to the actual road data is not in a first preset range, indicating that the working condition simulated by the current chassis dynamometer has a large difference with the working condition corresponding to the actual road data, especially a large difference in resistance, so that the model parameters in the virtual hub model and the virtual working condition model are feedback-regulated according to the error between the output speed change curve and the actual speed change curve, and the actual road data is returned to be executed to be input into the virtual working condition model to obtain the output working condition parameters, and the output working condition parameters are input into the virtual hub model to obtain the output hub parameters, so that the virtual working condition model and the virtual hub model are trained in an iterative mode, and the simulation effect of the test platform is closer to the actual road. If the error between the output speed change curve and the actual speed change curve is in a first preset range, the accuracy of the current virtual rotating hub model and the accuracy of the virtual working condition model meet the requirements, and the virtual rotating hub model and the virtual working condition model are obtained so as to facilitate the subsequent simulation.
Based on the above example, the virtual vehicle model in the target digital twin model is trained based on the following manner:
determining a virtual vehicle model corresponding to the vehicle to be tested, and inputting output working condition parameters into the virtual vehicle model to obtain an output emission change curve and an output energy consumption change curve;
if the error between the output emission change curve and the actual emission change curve corresponding to the actual road data is not in the second preset range and/or the error between the output energy consumption change curve and the actual energy consumption change curve corresponding to the actual road data is not in the third preset range, adjusting model parameters in the virtual vehicle model, and returning to execute the step of inputting the output working condition parameters into the virtual vehicle model to obtain the output emission change curve and the output energy consumption change curve;
and if the error between the output emission change curve and the actual emission change curve is in the second preset range and the error between the output energy consumption change curve and the actual energy consumption change curve is in the third preset range, obtaining a virtual vehicle model corresponding to the vehicle to be tested.
The actual energy consumption change curve is an energy consumption change curve generated by the vehicle to be tested under actual road data, the actual emission change curve is an emission change curve generated by the vehicle to be tested under the actual road data, and the virtual vehicle model comprises at least one of a whole vehicle model, an engine model, a gearbox model, a motor model and a battery model. The output emission change curve is a relationship curve between the time and the emission amount generated when the virtual vehicle model simulates driving under the output working condition parameters. The output energy consumption change curve is a relation curve between time and energy consumption generated when the virtual vehicle model simulates driving under the output working condition parameters. The actual emission change curve is a relation curve between the collected time and the emission amount of the vehicle to be tested under the working condition corresponding to the actual road data. The actual energy consumption change curve is a relation curve between the acquired time and the energy consumption of the vehicle to be tested under the working condition corresponding to the actual road data. The second preset range may be a preset error range for judging whether the emission accuracy of the virtual vehicle model reaches the demand. The third preset range may be a preset error range, and is used for judging whether the energy consumption precision of the virtual vehicle model meets the requirement.
Specifically, a virtual vehicle model most similar to the vehicle to be tested is determined according to technical characteristics (such as type, brand, size, shape and the like) of the vehicle to be tested, so as to be used for adjusting and simulating the vehicle to be tested. The output working condition parameters are input into the virtual vehicle model, so that the virtual vehicle model can simulate the operation under the output working condition parameters, and an output emission change curve and an output energy consumption change curve are obtained. Further, the output emission change curve is compared with an actual emission change curve corresponding to actual road data, and the output energy consumption change curve is compared with an actual energy consumption change curve corresponding to actual road data. If the error between the output emission change curve and the actual emission change curve is not in the second preset range and/or the error between the output energy consumption change curve and the actual energy consumption change curve is not in the third preset range, the method indicates that the emission and/or the energy consumption generated by the simulation operation of the current virtual vehicle model has a large difference from the emission and/or the energy consumption generated by the actual vehicle to be tested during operation, therefore, the model parameters in the virtual vehicle model are fed back and adjusted according to the error between the output emission change curve and the actual emission change curve and/or the error between the output energy consumption change curve and the actual energy consumption change curve, and the step of inputting the output working condition parameters into the virtual vehicle model is carried out to obtain the output emission change curve and the output energy consumption change curve, so that the virtual vehicle model is trained iteratively, and the simulation effect of the virtual vehicle model is more similar to that of the actual vehicle to be tested. If the error between the output emission change curve and the actual emission change curve is in the second preset range and the error between the output energy consumption change curve and the actual energy consumption change curve is in the third preset range, the emission precision and the energy consumption precision of the current virtual vehicle model are indicated to meet the requirements, and the virtual vehicle model corresponding to the vehicle to be tested is obtained so as to facilitate the subsequent simulation.
It should be noted that, the virtual hub model is a digital twin model of the chassis dynamometer test bed, is a chassis dynamometer feedback model, and mainly includes an internal resistance model, a loading model, and other correction models and coefficients. When the virtual vehicle acts on the virtual hub model according to the virtual working condition, the virtual hub provides resistance feedback to the virtual vehicle according to the model parameter setting. The virtual working condition model is directly represented by virtual resistance to the virtual vehicle, namely, each instant is responded according to the running resistance of the virtual vehicle according to the change of the virtual working condition, so that the virtual working condition can be input according to the characteristic scene factors such as the speed (driver and traffic flow characteristics), the environmental condition (climate and altitude characteristics), the road (road grade, gradient and the like), the network connection information (intelligent network connection vehicle) and the like, and the running resistance of the vehicle is changed, so that the change of the kinematic characteristics of the virtual vehicle is generated. The virtual vehicle model is used as a real vehicle digital map, and different emission and energy consumption changes can be generated according to virtual resistance changes generated by different virtual scenes and virtual working conditions.
It should be noted that, the actual road data of the vehicle acquired by the actual road scene is the actual road data, and reflects the data generated by the vehicle depending on the actual road resistance change on the actual road, and the actual road data is used to complete the calibration construction of the virtual hub model and the virtual working condition model in the target digital twin model, wherein the recommended resistance coefficient or the resistance coefficient acquired by the actual sliding test is used to set the hub loading resistance on the chassis dynamometer of the laboratory, and the hub loading resistance and the actual road resistance are necessarily different. That is, first, the basic resistance of the hub is set according to recommended model parameters or actual sliding resistance coefficients for the virtual operating mode model and the virtual hub model, and additional slope resistance setting may be performed according to the slope characteristics of the actual road. After setting, according to the vehicle state (such as parameters of environmental conditions, water temperature and oil temperature, loading state, gear and the like) during actual road operation, the driving robot is adopted to operate the vehicle (the vehicle to be tested) on the real chassis dynamometer with the same accelerator opening and gear as those during actual road operation. Theoretically, if the loading resistance of the rotating hub generated by the chassis dynamometer is the same as the resistance generated in the actual road test, the speed of the vehicle on the chassis dynamometer is basically consistent with the speed of the vehicle on the actual road, but the speed deviation exists due to the existence of the rotating hub resistance deviation generated by the virtual rotating hub model. And outputting the vehicle speed deviation delta V and the hub resistance parameter after the last iteration correction and other relevant test quantities (such as engine torque, rotating speed, hub torque, vehicle speed and the like) as iteration test training input parameters of the virtual hub model and the virtual working condition model, and carrying out iteration correction on model parameters of the virtual hub and the virtual working condition model until a model judgment condition is reached (the error between an output speed change curve and an actual speed change curve is in a first preset range) so as to finish setting the hub resistance approaching the real resistance. Further, aiming at the vehicle to be tested, the calibration of the virtual vehicle model is completed. Depending on the vehicle type of the vehicle to be tested, different types of sub-models of the motor vehicle (e.g. diesel vehicle, gasoline vehicle, gas vehicle, hybrid vehicle, electric vehicle, etc.), i.e. virtual vehicle models, are selected. According to the vehicle state (parameters such as environmental condition, water temperature and oil temperature, loading state and gear) when the actual road is running, the driving robot is adopted to run the vehicle to be tested on the chassis dynamometer system at the same accelerator opening degree as that when the actual road is running, because the hub resistance setting is basically the same as that of the actual road at the moment, the emission and energy consumption (the test quantity is determined according to the type of the vehicle, such as the oil consumption of a traditional vehicle, the electricity consumption of an electric vehicle, the energy consumption of other types of vehicles and the like) of the vehicle are the same as that of the actual road test, and the correction of the virtual vehicle model is completed according to the deviation values of the emission and the energy consumption, such as delta emission and delta energy consumption and other relevant actual road test quantities, which are used as iterative test training input parameters of the virtual vehicle model.
On the basis of the above example, the target emission value and the target energy consumption value can be processed according to a pre-constructed target digital twin model in the following manner to obtain parameters to be set of the chassis dynamometer:
determining a virtual vehicle model corresponding to the target vehicle based on the target vehicle, and processing the target emission value and the target energy consumption value based on the virtual vehicle model to obtain a to-be-tested working condition parameter;
processing the working condition parameters to be tested based on the virtual working condition model to obtain the hub parameters to be tested;
setting a virtual rotating hub model based on rotating hub parameters to be tested, and performing emission and energy consumption tests on the virtual vehicle model based on the set virtual rotating hub model to obtain an emission value to be compared and an energy consumption value to be compared;
and if the difference between the emission value to be compared and the target emission value is greater than the first difference and/or the difference between the energy consumption value to be compared and the target energy consumption value is greater than the second difference, updating model parameters of the target digital twin model based on the emission value to be compared and the energy consumption value to be compared, and returning to execute the steps of processing the target emission value and the target energy consumption value based on the virtual vehicle model to obtain the parameters of the working condition to be tested until the difference between the emission value to be compared and the target emission value is not greater than the first difference and the difference between the energy consumption value to be compared and the target energy consumption value is not greater than the second difference, and determining the parameters of the rotating hub to be tested as the parameters to be set of the chassis dynamometer.
The working condition parameters to be tested are working condition parameters corresponding to the virtual vehicle model with the target emission value and the target energy consumption value as targets. The to-be-tested hub parameter is a hub parameter corresponding to the to-be-tested working condition parameter as a target. The emission value to be compared and the energy consumption value to be compared are the emission value and the energy consumption value generated after the virtual vehicle model is simulated and operated on the virtual hub model which is set according to the parameters of the hub to be tested. The first difference value and the second difference value are preset values and are used for judging whether the emission and the energy consumption of the virtual construction meet the target requirements or not.
Specifically, a virtual vehicle model matched with the target vehicle is determined according to the target vehicle, and then reverse simulation is performed by using the virtual vehicle model and taking the target emission value and the target energy consumption value as targets, so as to predict working condition parameters for generating the target emission value and the target energy consumption value, namely the working condition parameters to be tested. And a virtual working condition model is used, the working condition parameters to be tested are used as targets, reverse simulation is carried out, and the hub parameters for generating the working condition parameters to be tested are predicted, namely the hub parameters to be tested. And setting the virtual rotating hub model by using the rotating hub parameters to be tested, and performing simulated emission and energy consumption tests by using the set virtual rotating hub model and the virtual vehicle model to obtain an emission value to be compared and an energy consumption value to be compared, which are generated by the virtual vehicle model. If the difference between the emission value to be compared and the target emission value is greater than the first difference and/or the difference between the energy consumption value to be compared and the target energy consumption value is greater than the second difference, the result of the simulation test is indicated to have a larger difference from the target, so that the model parameters in the target digital twin model are updated based on the emission value to be compared and the energy consumption value to be compared, and the virtual vehicle model is executed back, the target emission value and the target energy consumption value are processed to obtain the working condition parameters to be tested, the parameters are adjusted, so that the result of the simulation emission and the energy consumption is matched with the result of the emission and the energy consumption of the target, namely, until the difference between the emission value to be compared and the target emission value is not greater than the first difference and the difference between the energy consumption value to be compared and the target energy consumption value is not greater than the second difference, the hub parameters to be tested are determined to be the parameters to be set of the chassis dynamometer, the real hub is convenient to carry out in the test in a test room, and the repeated hub parameter adjustment is avoided.
S130, setting a chassis dynamometer based on parameters to be set, and carrying out emission and energy consumption tests on a target vehicle based on the set chassis dynamometer to obtain a detected emission value and a detected energy consumption value of the target vehicle.
Wherein the detected emissions are based on emissions detected by the chassis dynamometer when the target vehicle is tested for emissions and energy consumption, e.g. NO x 、CO 2 And the like. The detected energy consumption value is an energy consumption value detected when the chassis dynamometer performs emission and energy consumption tests on the target vehicle, such as electricity consumption, oil consumption and/or gas consumption.
Specifically, the chassis dynamometer is set according to parameters to be set so that the chassis dynamometer meets the aim of a customization mode. Further, the set chassis dynamometer is used for carrying out emission and energy consumption tests on the target vehicle, and experimental results are obtained to obtain a detected emission value and a detected energy consumption value of the target vehicle in the test.
On the basis of the above example, in order to enhance the driving behavior of the driver in accordance with the real road when the driver simulates driving and to improve the authenticity of the simulated driving, the following manner may be provided for performing emission and energy consumption tests on the target vehicle based on the set-up chassis dynamometer:
Constructing a scene to be tested based on the working condition parameters to be tested, and constructing a lead vehicle corresponding to the scene to be tested based on the target emission value and the target energy consumption value;
and displaying the scene to be tested and the leading vehicle on a target display device, and performing emission and energy consumption tests on the target vehicle when the leading vehicle is followed based on the chassis dynamometer and the target display device which are arranged.
Wherein during the test, a steering operation is performed based on the virtual steering or steering simulator. Virtual steering is understood as a manner of automatically adjusting the driving direction according to a change in the speed of the driving target vehicle. The steering simulator can be a simulated steering wheel, can sense the steering of the vehicle, and feeds back the steering to the scene to be tested, but does not feed back the steering to the target vehicle to generate actual steering. The scene to be tested is an analog video scene corresponding to the working condition parameters to be tested. The leading vehicle is a virtual vehicle for guiding the target vehicle to move in the scene to be tested, and can be used for controlling the running speed, the running direction and the like of the target vehicle so as to enable the movement of the target vehicle to meet the test requirement. The target display device may be a display screen, a VR (Virtual Reality) device, or the like.
Specifically, a corresponding video change scene, namely a scene to be tested, can be constructed according to the working condition parameters to be tested, so that a driver can face a relatively real visual scene when driving a target vehicle on the chassis dynamometer. Furthermore, according to the target emission value and the target energy consumption value, the motion information of the vehicle during subsequent detection, including speed, direction, acceleration and the like, can be determined, and the lead vehicle can be constructed according to the motion information, so that a driver is guided to drive the target vehicle according to the test requirement in the scene to be tested. The to-be-tested scene and the leading vehicle are displayed on the target display device for the driver to check and follow, and the emission and energy consumption tests are carried out on the target vehicle when the leading vehicle is followed based on the chassis dynamometer and the target display device which are completed, so that the test process is more in line with the test requirement, the repeated current test is facilitated, and the problem that the deviation exists between the test process and the test requirement due to the driving habit of the driver is avoided. And the mode of driving the leading vehicle is used for replacing the mode of driving along the change of the speed line, so that the real driving behavior response of the driver in the test is improved, and the test effect is further improved.
And S140, if the difference between the detected emission value and the target emission value is greater than the first difference and/or the difference between the detected energy consumption value and the target energy consumption value is greater than the second difference, updating model parameters of the target digital twin model based on the detected emission value and the detected energy consumption value, and returning to execute the step of processing the target emission value and the target energy consumption value according to the pre-constructed target digital twin model to obtain parameters to be set of the chassis dynamometer until the difference between the detected emission value and the target emission value is not greater than the first difference and the difference between the detected energy consumption value and the target energy consumption value is not greater than the second difference, and determining the parameters to be set as the target parameters.
The first difference value is a preset value for judging whether the difference value between the detected emission value and the target emission value can meet the test requirement. The second difference value is a preset value for judging whether the difference value between the detected energy consumption value and the target energy consumption value can meet the test requirement. The target parameters are parameters to be set of the chassis dynamometer when the test requirements are met.
Specifically, if the difference between the detected emission value and the target emission value is greater than the first difference and/or the difference between the detected energy consumption value and the target energy consumption value is greater than the second difference, it indicates that the current test result is not consistent with the expected effect, so that based on the detected emission value and the detected energy consumption value, model parameters of the target digital twin model are returned to be updated to achieve mutual feedback adjustment of the test and simulation, and the step of processing the target emission value and the target energy consumption value according to the pre-constructed target digital twin model is performed to obtain parameters to be set of the chassis dynamometer, so as to iterate the test result when the chassis dynamometer tests the target vehicle, until the difference between the detected emission value and the target emission value is not greater than the first difference and the difference between the detected energy consumption value and the target energy consumption value is not greater than the second difference, it is determined that the current simulation situation of the chassis dynamometer has met the test requirement, that is the target emission value and the target energy consumption value, so that the current parameters to be set are determined as the target parameters.
S150, setting a chassis dynamometer based on target parameters, and performing emission and energy consumption tests on a target vehicle based on the set chassis dynamometer to obtain a target test result.
The target test result is related data of the vehicle running collected during the emission and energy consumption test, and the related data is not limited to emission and energy consumption data, and can also comprise chassis dynamometer data, emission equipment detection data, vehicle running data and the like.
Specifically, the chassis dynamometer is set according to target parameters, emission and energy consumption tests are carried out on a target vehicle based on the set chassis dynamometer, and in the test process, target test results are recorded.
Based on the above example, the test method when the random pattern instruction is received may specifically be:
when a random mode instruction is received, constructing a random road scene, and determining random road parameters and target vehicles corresponding to the random road scene;
processing random road parameters according to a pre-constructed target digital twin model to obtain random mode parameters of the chassis dynamometer;
and setting the chassis dynamometer based on the random mode parameters, and performing emission and energy consumption tests on the target vehicle based on the set chassis dynamometer to obtain a random test result.
The random mode instruction is an instruction for generating a random scene to carry out emission and energy consumption tests. A random road scene is a randomly generated road scene comprising dynamic elements and static elements. The random road parameters are various road parameters in the random road scene, such as altitude, longitude and latitude, gradient, and the like. The random mode parameter is a parameter obtained according to the random road parameter and used for setting the chassis dynamometer. The random test result is related data of the vehicle running collected when the emission and energy consumption test is carried out in a random mode, and the related data are not limited to emission and energy consumption data, but can also comprise chassis dynamometer data, emission equipment detection data, vehicle running data and the like.
Specifically, when a random mode instruction is received, a random road scene is randomly selected or combined from a scene library, and further, corresponding random road parameters are determined according to the random road scene, and a target vehicle to be tested in the random mode is determined for subsequent processing. And inputting the random road parameters into a pre-constructed target digital twin model for processing, so that the random mode parameters of the chassis dynamometer can be obtained. Furthermore, the chassis dynamometer is set according to the random mode parameters so that the chassis dynamometer is matched with a random road scene, further, emission and energy consumption tests are carried out on a target vehicle based on the set chassis dynamometer, and in the test process, a random test result is recorded.
Based on the above example, the method further includes a test mode when receiving the instruction of the reproduction mode, which specifically may be:
when a reproduction mode instruction is received, determining a road scene to be reproduced and a target vehicle, determining initial road parameters corresponding to the road scene to be reproduced, and acquiring road adjustment parameters corresponding to the initial road parameters;
determining a recurring road parameter based on the initial road parameter and the road adjustment parameter;
processing the reproduction road parameters according to a pre-constructed target digital twin model to obtain the reproduction mode parameters of the chassis dynamometer;
setting a chassis dynamometer based on the reproduction mode parameters, and performing emission and energy consumption tests on the target vehicle based on the set chassis dynamometer to obtain a reproduction test result.
The reproduction mode instruction is an instruction for reproducing according to a road scene to be reproduced and performing emission and energy consumption tests. The road scene to be reproduced is a scene carried by the reproduction mode instruction and is a scene for reproduction test. The initial road parameters are various road parameters in the road scene to be reproduced, such as altitude, longitude and latitude, gradient, etc. The road adjustment parameter is a parameter adaptively adjusted based on the road scene to be reproduced, and may be an adjustment parameter selected by a user to be generated or input. The reproduction road parameter is a road parameter obtained by adjusting the road adjustment parameter based on the initial road parameter. The reproduction mode parameters are parameters for setting the chassis dynamometer, which are obtained according to the reproduction road parameters. The reproduction test result is the relevant data of the vehicle running collected when the emission and energy consumption test is carried out in the reproduction mode, and the data are not limited to the emission and energy consumption data, but can also comprise chassis dynamometer data, emission equipment detection data, vehicle running data and the like.
Specifically, when the reproduction mode instruction is received, the reproduction mode instruction is analyzed, a road scene to be reproduced and a target vehicle are determined, corresponding initial road parameters are determined according to the road scene to be reproduced, and road adjustment parameters corresponding to the initial road parameters, which are desired to be adjusted by a user, are received. Further, on the basis of the initial road parameters, the road parameters are adjusted according to the road adjustment parameters, so that the reproduction road parameters are obtained. And inputting the reproduction road parameters into a pre-constructed target digital twin model for processing, so that the reproduction mode parameters of the chassis dynamometer can be obtained. Furthermore, the chassis dynamometer is set according to the reproduction mode parameters so that the chassis dynamometer is matched with a road scene to be reproduced, further, emission and energy consumption tests are carried out on a target vehicle based on the set chassis dynamometer, and in the test process, the reproduction test result is recorded.
The embodiment has the following technical effects: and when a custom mode instruction is received, acquiring a target vehicle, a target emission value and a target energy consumption value, processing the target emission value and the target energy consumption value according to a pre-constructed target digital twin model, obtaining parameters to be set of the chassis dynamometer, setting the chassis dynamometer, further, carrying out emission and energy consumption tests on the target vehicle based on the chassis dynamometer, obtaining a detection emission value and a detection energy consumption value of the target vehicle, if the difference between the detection emission value and the target emission value is larger than a first difference value and/or the difference between the detection energy consumption value and the target energy consumption value is larger than a second difference value, updating model parameters of the target digital twin model based on the detection emission value and the detection energy consumption value, and returning to execute the steps of obtaining parameters to be set of the chassis dynamometer until the difference between the detection emission value and the target emission value is not larger than the first difference value and the difference between the detection energy consumption value and the target energy consumption value is not larger than the second difference value, determining the parameters to be set as the target parameters, and setting the chassis dynamometer again, carrying out emission and energy consumption tests on the target vehicle, obtaining the target vehicle, carrying out emission and energy consumption tests based on the difference between the detection emission value and the target energy consumption value, and the chassis to be tested, and improving the requirements.
FIG. 2 is a schematic diagram of a digital twin based emissions and energy consumption testing system provided by an embodiment of the present invention. Referring to fig. 2, the emission and energy consumption test system based on digital twin specifically includes: a main control platform 210, a real vehicle data acquisition platform 220, a test parameter construction and emission test platform 230 and a data platform 240; the test parameter build and emissions test platform 230 includes a chassis dynamometer 231.
The real vehicle data collection platform 220 is configured to collect real road data, a real speed change curve, a real emission change curve and a real energy consumption change curve;
the master control platform 210 is configured to send the actual road data, the actual speed change curve, the actual emission change curve, and the actual energy consumption change curve acquired by the real vehicle data acquisition platform 220 to the data platform 240, and send the test instruction to the test parameter construction and emission test platform 230 when receiving the test instruction; wherein the test instruction comprises a custom mode instruction, a random mode instruction or a reproduction mode instruction;
the test parameter construction and emission test platform 230 is used for executing the steps of the emission and energy consumption test method based on digital twin according to any embodiment of the invention;
The data platform 240 is configured to store the actual road data, the actual speed change curve, the actual emission change curve, and the actual energy consumption change curve sent by the real vehicle data acquisition platform, and store the test parameter construction and a target test result sent by the emission test platform 230.
FIG. 3 is a schematic diagram of another digital twin based emissions and energy consumption testing system provided by an embodiment of the present invention.
Referring to fig. 3, the master control platform is a core software master control unit, and its functions mainly include: calling and setting of each functional module, construction and display of driving scene, monitoring and display of driving information, function calling and data display of a data platform, and intelligent network vehicle network information simulation control (the module function can be used when a test vehicle is an intelligent network vehicle). The driving information monitoring display function is used for monitoring basic vehicle data of a test vehicle in the test operation of the chassis dynamometer and comprises the vehicle rotating hub resistance, the vehicle speed, the acceleration of the chassis dynamometer, the vehicle needing real-time monitoring and the OBD information data of an engine (selected and set according to test requirements). The intelligent network connection vehicle network connection simulation function can simulate other vehicles, cloud platforms or other network connection systems to realize virtual information interaction with network connection vehicles on the chassis dynamometer, provide network connection information such as navigation, high-precision maps, traffic environment information and the like required by vehicle operation, and can provide information related to driving scenes to the driving scene simulation system while realizing information interaction with the vehicles, so that corresponding scenes such as vehicle spacing, road change information and the like are synchronously constructed in the virtual scenes.
The remote real vehicle acquisition function module can realize data interconnection with a data acquisition terminal of an actual road scene acquisition vehicle through the data platform. The actual road scene acquisition vehicle is the same vehicle as the laboratory test sample vehicle, and is provided with the actual scene acquisition equipment to acquire data when the actual road runs. The real scene acquisition data comprise four types of data, namely, the real road scene video data acquired from the view angle of a driver; secondly, acquiring longitude and latitude, altitude, gradient, vehicle speed, acceleration and other data through a GPS; thirdly, working condition parameters of the vehicle in the actual road running process of the vehicle; and fourthly, intelligent network connection information (only aiming at intelligent network connection vehicles) interacted with the outside in the actual road running process of the vehicle. The live-action acquisition data can be stored on site through the vehicle-mounted acquisition equipment, and can be interacted with a data platform of a laboratory in real time or off-line.
The simulation test system based on the chassis dynamometer comprises a digital twin model (target digital twin model) for establishing a chassis dynamometer test system by adopting a digital twin technology, wherein the digital twin model comprises three sub-modules of a virtual rotating hub, a virtual working condition and a virtual vehicle, and is combined with an actual chassis dynamometer test system, and the sub-modules are mutually corrected in the test process to realize the approximation simulation of real road conditions and real vehicle operation behaviors.
Therefore, the system can reproduce the real actual road (road scene to be reproduced) test, and can also design a specific virtual scene by utilizing the target digital twin system according to the expected value (target emission value and target energy consumption value) of emission or energy consumption, and form a virtual visual scene through scene generating software to be projected into the actual chassis dynamometer test system. In the test process, the real chassis dynamometer test system and the digital twin system can interact with each other at any time, so that the model of the digital twin system is modified, or the chassis dynamometer test system based on the virtual test scene generates real response according to the expected target setting of the digital twin model.
The virtual driving scene generation can be based on the current general traffic scene simulation technology, and only needs to realize the pre-or random setting of the test route and the test scene, such as the simple setting of the vehicle congestion degree, the traffic light, the road attribute (urban highway, expressway, gradient, etc.), the environmental attribute (temperature, humidity, altitude, etc.). The driver faces the same screen vision scene as the actual road environment, so that the driving reaction similar to the actual road can be made, and the scene factors related to the driving resistance can be set to the hub control system (chassis dynamometer) after the driving scene is randomly generated or preset, so as to realize the road resistance simulation of the hub. The virtual driving scene can be the scene reproduction of the actual road test, and can be defined by self according to the set scene conditions.
The customization mode is to generate a scene by using the calibrated target digital twin model according to the expected target values (target emission value and target energy consumption value) of the vehicle test, and project scene information (traffic flow, environment, road, speed, gradient and other information) on a scene display screen. When a driver drives a vehicle according to a driving scene projected by a display screen, two modes are provided for restraining the driving behavior of the driver, one is a free mode, namely, the driver freely drives according to subjective habit in the scene, the other is a following mode, namely, a virtual target vehicle (leading vehicle) is designed in the scene, the vehicle is used as a digital map of a 'speed limiting condition' in the virtual scene, the vehicle runs in the virtual scene according to the running characteristic set by the scene, the driver keeps a fixed vehicle distance with the virtual vehicle in a driver visual angle, and the vehicle is driven by the following mode, and the mode can ensure that the driving speed of the driver is basically consistent with the preset vehicle speed of the scene.
When a vehicle is driven on a driving simulation system, because the vehicle runs on a chassis dynamometer, a driver cannot rotate a real vehicle steering wheel, steering simulation can be realized in two modes in a driving scene in order to solve the problem, the first mode is that when the vehicle is turned, the scene finishes the steering of the vehicle in a virtual scene in real time according to the actual speed of the vehicle, the second mode is that the steering simulator is arranged on the vehicle, the driver operates the steering simulator to simulate the steering behavior of an actual road, when the driver operates the steering simulator, the simulator generates similar steering moment feedback according to the steering behavior required by the scene, and the steering simulation signal is also linked with scene software to finish the steering behavior in the virtual scene while generating real interactive feeling with the driver.
The emission test system is a dedicated device for emission testing, although other test devices may be integrated with other test requirements. The test data can be stored in the data platform in an integrated way, and the main control platform can realize basic function control on the test equipment and realize data call through the data platform.
The data platform with the functions of big data storage, analysis and data interaction is a core part of data storage, processing and analysis, and can complete the data integrated storage of each functional module, data call analysis and data interaction with the main control platform. Meanwhile, based on the 5G-V2X technology, the data platform is integrated with a functional module which is used for realizing network information interaction with the intelligent network vehicle.
The embodiment has the following technical effects: the digital twin technology combines the actual road test of the whole automobile emission and energy consumption test with the traditional chassis dynamometer test, improves the reality of simulating the actual road test by the chassis dynamometer in a laboratory, solves the problem that the actual road test cannot be repeated, greatly reduces the test cost, improves the test efficiency, and can flexibly cope with various test requirements and conditions. The target digital twin model is designed, and the functions of constructing a virtual scene according to an expected test target and adjusting the virtual scene on line in real time when the chassis dynamometer develops the virtual scene test are realized through the model. The virtual reality technology is utilized to project the scene to the driver in a visual form, so that the virtual target vehicle is designed in the virtual scene when the driving behavior similar to that of the actual road driving can be generated, the driving speed of the driver is controlled through the following technology, and the test limitation that the driver can only prompt the driving vehicle according to the driving speed target curve when the traditional chassis dynamometer is tested is changed. A virtual networking environment is provided for intelligent networking vehicles in a laboratory, virtual scene information constructed by a target digital twin model can be combined with test expectation, the virtual scene information is simulated and provided for the test vehicles in a networking information mode required by the vehicles, networking information required by a vehicle and road cooperative intelligent dynamic control strategy is met, and therefore the related test requirements of the intelligent networking vehicles are met for the chassis dynamometer in the laboratory in the future.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 4, electronic device 400 includes one or more processors 401 and memory 402.
The processor 401 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities and may control other components in the electronic device 400 to perform desired functions.
Memory 402 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. On which one or more computer program instructions may be stored that may be executed by the processor 401 to implement the digital twin based emissions and energy consumption test method and/or other desired functions of any of the embodiments of the present invention described above. Various content such as initial arguments, thresholds, etc. may also be stored in the computer readable storage medium.
In one example, the electronic device 400 may further include: an input device 403 and an output device 404, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown). The input device 403 may include, for example, a keyboard, a mouse, and the like. The output device 404 may output various information to the outside, including early warning prompt information, braking force, etc. The output device 404 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, etc.
Of course, only some of the components of the electronic device 400 that are relevant to the present invention are shown in fig. 4 for simplicity, components such as buses, input/output interfaces, etc. are omitted. In addition, electronic device 400 may include any other suitable components depending on the particular application.
In addition to the methods and apparatus described above, embodiments of the invention may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform the steps of the digital twin based emissions and energy consumption test method provided by any of the embodiments of the invention.
The computer program product may write program code for performing operations of embodiments of the present invention in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the invention may also be a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform the steps of the digital twin based emissions and energy consumption test method provided by any of the embodiments of the invention.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of the present application. As used in this specification, the terms "a," "an," "the," and/or "the" are not intended to be limiting, but rather are to be construed as covering the singular and the plural, unless the context clearly dictates otherwise. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements.
It should also be noted that the positional or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the positional or positional relationship shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the apparatus or element in question must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application. Unless specifically stated or limited otherwise, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.
Claims (9)
1. A digital twinning-based emissions and energy consumption testing method, comprising:
when a custom mode instruction is received, determining a target vehicle, a target emission value and a target energy consumption value;
processing the target emission value and the target energy consumption value according to a pre-constructed target digital twin model to obtain parameters to be set of the chassis dynamometer; the target digital twin model comprises a virtual hub model, a virtual working condition model and a virtual vehicle model;
setting the chassis dynamometer based on the parameters to be set, and performing emission and energy consumption tests on the target vehicle based on the set chassis dynamometer to obtain a detected emission value and a detected energy consumption value of the target vehicle;
If the difference between the detected emission value and the target emission value is greater than a first difference and/or the difference between the detected energy consumption value and the target energy consumption value is greater than a second difference, updating model parameters of the target digital twin model based on the detected emission value and the detected energy consumption value, and returning to execute the step of processing the target emission value and the target energy consumption value according to the pre-built target digital twin model to obtain parameters to be set of the chassis dynamometer until the difference between the detected emission value and the target emission value is not greater than the first difference and the difference between the detected energy consumption value and the target energy consumption value is not greater than the second difference, and determining the parameters to be set as target parameters;
setting the chassis dynamometer based on the target parameters, and performing emission and energy consumption tests on the target vehicle based on the set chassis dynamometer to obtain a target test result;
the processing the target emission value and the target energy consumption value according to a pre-constructed target digital twin model to obtain parameters to be set of the chassis dynamometer comprises the following steps:
determining a virtual vehicle model corresponding to the target vehicle based on the target vehicle, and processing the target emission value and the target energy consumption value based on the virtual vehicle model to obtain a to-be-tested working condition parameter;
Processing the working condition parameters to be tested based on the virtual working condition model to obtain rotating hub parameters to be tested;
setting the virtual rotating hub model based on the rotating hub parameters to be tested, and performing emission and energy consumption tests on the virtual vehicle model based on the set virtual rotating hub model to obtain an emission value to be compared and an energy consumption value to be compared;
and if the difference between the emission value to be compared and the target emission value is greater than the first difference and/or the difference between the energy consumption value to be compared and the target energy consumption value is greater than the second difference, updating the model parameters of the target digital twin model based on the emission value to be compared and the energy consumption value to be compared, and returning to execute the step of processing the target emission value and the target energy consumption value based on the virtual vehicle model to obtain the working condition parameters to be tested until the difference between the emission value to be compared and the target emission value is not greater than the first difference and the difference between the energy consumption value to be compared and the target energy consumption value is not greater than the second difference, and determining the hub parameters to be tested as parameters to be set of the chassis dynamometer.
2. The method of claim 1, wherein the virtual hub model and the virtual operating mode model in the target digital twin model are trained based on:
inputting actual road data into a virtual working condition model to obtain output working condition parameters, and inputting the output working condition parameters into a virtual hub model to obtain output hub parameters;
setting the chassis dynamometer based on the output hub parameters, and testing the vehicle to be tested based on the set chassis dynamometer to obtain an output speed change curve;
if the error between the output speed change curve and the actual speed change curve corresponding to the actual road data is not in the first preset range, adjusting the model parameters in the virtual hub model and the virtual working condition model, and returning to execute the step of inputting the actual road data into the virtual working condition model to obtain output working condition parameters, and inputting the output working condition parameters into the virtual hub model to obtain output hub parameters;
if the error between the output speed change curve and the actual speed change curve is within the first preset range, obtaining the virtual rotating hub model and the virtual working condition model;
The vehicle to be tested is a vehicle for generating the actual speed change curve, the virtual rotating hub model comprises at least one of an internal resistance model and a loading model, and the virtual working condition model comprises at least one of a rolling resistance model, a slope resistance model and an air resistance model.
3. The method of claim 2, wherein the virtual vehicle model in the target digital twin model is trained based on:
determining a virtual vehicle model corresponding to the vehicle to be tested, and inputting the output working condition parameters into the virtual vehicle model to obtain an output emission change curve and an output energy consumption change curve;
if the error between the output emission change curve and the actual emission change curve corresponding to the actual road data is not in the second preset range and/or the error between the output energy consumption change curve and the actual energy consumption change curve corresponding to the actual road data is not in the third preset range, adjusting model parameters in the virtual vehicle model, and returning to execute the step of inputting the output working condition parameters into the virtual vehicle model to obtain the output emission change curve and the output energy consumption change curve;
If the error between the output emission change curve and the actual emission change curve is in the second preset range and the error between the output energy consumption change curve and the actual energy consumption change curve is in the third preset range, obtaining the virtual vehicle model corresponding to the vehicle to be tested;
the actual energy consumption change curve is an energy consumption change curve generated by the vehicle to be tested under the actual road data, the actual emission change curve is an emission change curve generated by the vehicle to be tested under the actual road data, and the virtual vehicle model comprises at least one of a whole vehicle model, an engine model, a gearbox model, a motor model and a battery model.
4. The method of claim 1, wherein the emissions and energy consumption testing of the target vehicle based on the set-up chassis dynamometer comprises:
constructing a scene to be tested based on a working condition parameter to be tested, and constructing a lead vehicle corresponding to the scene to be tested based on the target emission value and the target energy consumption value;
displaying the scene to be tested and the leading vehicle on a target display device, and performing emission and energy consumption tests on the target vehicle when the leading vehicle is followed on the basis of a chassis dynamometer and the target display device which are arranged completely; wherein during the test, a steering operation is performed based on the virtual steering or steering simulator.
5. The method as recited in claim 1, further comprising:
when a random mode instruction is received, constructing a random road scene, and determining random road parameters and target vehicles corresponding to the random road scene;
processing the random road parameters according to a pre-constructed target digital twin model to obtain random mode parameters of the chassis dynamometer;
and setting the chassis dynamometer based on the random mode parameters, and performing emission and energy consumption tests on the target vehicle based on the set chassis dynamometer to obtain a random test result.
6. The method as recited in claim 1, further comprising:
when a reproduction mode instruction is received, determining a road scene to be reproduced and a target vehicle, determining initial road parameters corresponding to the road scene to be reproduced, and acquiring road adjustment parameters corresponding to the initial road parameters;
determining recurring road parameters based on the initial road parameters and the road adjustment parameters;
processing the reproduction road parameters according to a pre-constructed target digital twin model to obtain reproduction mode parameters of the chassis dynamometer;
And setting the chassis dynamometer based on the reproduction mode parameters, and performing emission and energy consumption tests on the target vehicle based on the set chassis dynamometer to obtain a reproduction test result.
7. A digital twinning-based emissions and energy consumption testing system, comprising: the system comprises a main control platform, a real vehicle data acquisition platform, a test parameter construction and emission test platform and a data platform; the test parameter construction and emission test platform comprises a chassis dynamometer; wherein,,
the real vehicle data acquisition platform is used for acquiring actual road data, an actual speed change curve, an actual emission change curve and an actual energy consumption change curve;
the main control platform is used for sending the actual road data, the actual speed change curve, the actual emission change curve and the actual energy consumption change curve acquired by the actual vehicle data acquisition platform to the data platform, and sending the test instruction to a test parameter construction and emission test platform when receiving the test instruction; wherein the test instruction comprises a custom mode instruction, a random mode instruction or a reproduction mode instruction;
The test parameter construction and emission test platform for performing the steps of the digital twin based emission and energy consumption test method according to any one of claims 1 to 6;
the data platform is used for storing the actual road data, the actual speed change curve, the actual emission change curve and the actual energy consumption change curve which are sent by the actual vehicle data acquisition platform, and storing the test parameter construction and a target test result sent by the emission test platform.
8. An electronic device, the electronic device comprising:
a processor and a memory;
the processor is adapted to perform the steps of the digital twin based emissions and energy consumption testing method of any of claims 1 to 6 by invoking a program or instruction stored in the memory.
9. A computer-readable storage medium storing a program or instructions that cause a computer to perform the steps of the digital twin emission and energy consumption test method according to any one of claims 1 to 6.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10232187A (en) * | 1997-02-20 | 1998-09-02 | A M S Fujii:Kk | Method and device for testing running performance of vehicle |
| WO2011046408A2 (en) * | 2009-10-16 | 2011-04-21 | Korea Advanced Institute Of Science And Technology | Energy consumption efficiency measuring apparatus and method for on-line electric vehicle |
| CN202631253U (en) * | 2012-03-16 | 2012-12-26 | 浙江吉利汽车研究院有限公司 | Automobile performance test system |
| WO2015046201A1 (en) * | 2013-09-24 | 2015-04-02 | 株式会社堀場製作所 | Driving mode display device, driving mode display program, and vehicle test system |
| EP3343196A1 (en) * | 2016-11-30 | 2018-07-04 | AIP GmbH & Co. KG | Method for simulating motor vehicle road tests on a test bench |
| CN109141910A (en) * | 2018-05-23 | 2019-01-04 | 中国汽车技术研究中心有限公司 | A kind of measurement condition conversion method from vehicle to engine |
| CN112033702A (en) * | 2020-10-09 | 2020-12-04 | 吉林大学 | Electric automobile intelligence thermal management system test bench |
| WO2021098383A1 (en) * | 2019-11-23 | 2021-05-27 | 同济大学 | Smart car vehicle-in-the-loop test system |
| CN113239963A (en) * | 2021-04-13 | 2021-08-10 | 联合汽车电子有限公司 | Vehicle data processing method, device, equipment, vehicle and storage medium |
| CN113820142A (en) * | 2021-09-24 | 2021-12-21 | 中汽研汽车检验中心（天津）有限公司 | Heavy hybrid electric vehicle energy consumption and emission combined test system and method |
| CN114676495A (en) * | 2021-12-10 | 2022-06-28 | 北京新能源汽车股份有限公司 | Method, device and equipment for predicting energy consumption of automobile |
| CN115112394A (en) * | 2022-06-30 | 2022-09-27 | 阿波罗智能技术(北京)有限公司 | Vehicle testing and automatic driving vehicle driving range testing method and device |
| CN115876484A (en) * | 2022-11-11 | 2023-03-31 | 中汽研汽车检验中心（天津）有限公司 | System and method for actual road condition test and working condition simulation test of heavy whole vehicle |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112985845A (en) * | 2021-04-01 | 2021-06-18 | 中信戴卡股份有限公司 | Simulated pavement rotary drum and automobile test equipment |
| US11880250B2 (en) * | 2021-07-21 | 2024-01-23 | Accenture Global Solutions Limited | Optimizing energy consumption of production lines using intelligent digital twins |
-
2023
- 2023-06-06 CN CN202310657585.3A patent/CN116380495B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10232187A (en) * | 1997-02-20 | 1998-09-02 | A M S Fujii:Kk | Method and device for testing running performance of vehicle |
| WO2011046408A2 (en) * | 2009-10-16 | 2011-04-21 | Korea Advanced Institute Of Science And Technology | Energy consumption efficiency measuring apparatus and method for on-line electric vehicle |
| CN202631253U (en) * | 2012-03-16 | 2012-12-26 | 浙江吉利汽车研究院有限公司 | Automobile performance test system |
| WO2015046201A1 (en) * | 2013-09-24 | 2015-04-02 | 株式会社堀場製作所 | Driving mode display device, driving mode display program, and vehicle test system |
| EP3343196A1 (en) * | 2016-11-30 | 2018-07-04 | AIP GmbH & Co. KG | Method for simulating motor vehicle road tests on a test bench |
| CN109141910A (en) * | 2018-05-23 | 2019-01-04 | 中国汽车技术研究中心有限公司 | A kind of measurement condition conversion method from vehicle to engine |
| WO2021098383A1 (en) * | 2019-11-23 | 2021-05-27 | 同济大学 | Smart car vehicle-in-the-loop test system |
| CN112033702A (en) * | 2020-10-09 | 2020-12-04 | 吉林大学 | Electric automobile intelligence thermal management system test bench |
| CN113239963A (en) * | 2021-04-13 | 2021-08-10 | 联合汽车电子有限公司 | Vehicle data processing method, device, equipment, vehicle and storage medium |
| CN113820142A (en) * | 2021-09-24 | 2021-12-21 | 中汽研汽车检验中心（天津）有限公司 | Heavy hybrid electric vehicle energy consumption and emission combined test system and method |
| CN114676495A (en) * | 2021-12-10 | 2022-06-28 | 北京新能源汽车股份有限公司 | Method, device and equipment for predicting energy consumption of automobile |
| CN115112394A (en) * | 2022-06-30 | 2022-09-27 | 阿波罗智能技术(北京)有限公司 | Vehicle testing and automatic driving vehicle driving range testing method and device |
| CN115876484A (en) * | 2022-11-11 | 2023-03-31 | 中汽研汽车检验中心（天津）有限公司 | System and method for actual road condition test and working condition simulation test of heavy whole vehicle |
Non-Patent Citations (1)
| Title |
|---|
| Developing and analyzing eco-driving strategies for on-road emission reduction in urban transport systems - A VR-enabled digital-twin approach;Zheng Xu等;《Chemosphere 》;1-12 * |
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