CN117129855A - Reliability test method, device, equipment and medium for four-wheel drive type electric drive assembly - Google Patents

Reliability test method, device, equipment and medium for four-wheel drive type electric drive assembly Download PDF

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Publication number
CN117129855A
CN117129855A CN202310753947.9A CN202310753947A CN117129855A CN 117129855 A CN117129855 A CN 117129855A CN 202310753947 A CN202310753947 A CN 202310753947A CN 117129855 A CN117129855 A CN 117129855A
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China
Prior art keywords
torque
test
working condition
precursor
electric drive
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Inventor
李开基
朱小丰
邓柯军
邓承浩
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Deep Blue Automotive Technology Co ltd
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Deep Blue Automotive Technology Co ltd
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Priority to CN202310753947.9A priority Critical patent/CN117129855A/en
Publication of CN117129855A publication Critical patent/CN117129855A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34Testing dynamo-electric machines
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/003Environmental or reliability tests
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/72Electric energy management in electromobility

Abstract

The application provides a reliability test method, a device, equipment and a medium of a four-wheel drive type electric drive assembly, wherein the method comprises the following steps: acquiring actual working condition parameters of different vehicle types; determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters; the corresponding relation is imported into a pre-built test bench, so that when product testing is conducted based on the test bench, the corresponding relation is called to simulate the operation condition of the front auxiliary electric drive assembly, and test operation data are obtained; and determining the test performance of the product according to the test operation data. The application can effectively ensure the accuracy of the test.

Description

Reliability test method, device, equipment and medium for four-wheel drive type electric drive assembly
Technical Field
The application relates to the field of new energy automobile application, in particular to a reliability test method, device, equipment and medium of a four-wheel drive type electric drive assembly.
Background
The motor is the driving device which is most widely applied in production and life, and the running stability of the motor is very important. With the rapid development of electronic technology, the performance of the motor is rapidly improved and perfected, and the detection of the running stability of the corresponding motor is particularly important.
The reliability test is an important way for guaranteeing the service life and performance of the motor, but the current test method cannot guarantee the sufficiency and deviation of verification, and the conditions during the test are different from the actual motor operation conditions, so that the accuracy of the reliability test is reduced. Meanwhile, the asynchronous electric drive is mainly used for four-wheel drive vehicles and is used as an auxiliary drive system of the whole vehicle, the distribution of front and rear drive torque is related, the development of reliability test working conditions is required, and different torque distribution strategies of different vehicles are required to be adapted. If the test is carried out according to the reliability test method of the main drive electric drive, the actual requirement of the whole vehicle user is deviated, so that the verification is caused. While CN108363005A, motor reliability test method, only requires centering of test equipment, and cannot be attached to the actual customer operation angle; CN112014119A (reliability test device and test method for drive Motor Assembly) provides a reliability test device for the current all-in-one electric drive Assembly, but expounds and improves the actual use condition of reliability due to missing.
Disclosure of Invention
In view of the problems in the prior art, the application provides a reliability test method, device, equipment and medium for a four-wheel drive type electric drive assembly, which mainly solve the problem that the test accuracy is greatly affected by the difference between the conventional test method and the actual use condition.
In order to achieve the above and other objects, the present application adopts the following technical scheme.
The application provides a reliability test method of a four-wheel drive vehicle type electric drive assembly, which comprises the following steps: acquiring actual working condition parameters of different vehicle types; determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters; the corresponding relation is imported into a pre-built test bench, so that when product testing is conducted based on the test bench, the corresponding relation is called to simulate the operation condition of the front auxiliary electric drive assembly, and test operation data are obtained; and determining the test performance of the product according to the test operation data.
In an embodiment of the present application, obtaining actual operating condition parameters of different vehicle types includes: acquiring configuration information of a vehicle type; calling a data interface of a vehicle type provider according to the vehicle type configuration information; and acquiring actual working condition parameters of a corresponding vehicle type provider based on the data interface, wherein the actual working condition parameters are determined according to data acquired by a vehicle of the corresponding vehicle type under an actual running working condition.
In an embodiment of the present application, the actual working condition parameters include: the system comprises an accelerator characteristic table, an energy recovery characteristic table, an external characteristic curve of a vehicle and whole vehicle parameters, wherein the accelerator characteristic table is used for representing motor rotating speeds corresponding to accelerator opening degrees under different driving working conditions, and the energy recovery characteristic table is used for representing precursor torques corresponding to accelerator pedals and deceleration pedals under different driving working conditions.
In an embodiment of the present application, determining a corresponding relationship between a rotational speed and a precursor torque of a corresponding vehicle model according to the actual condition parameter includes: determining working condition torque corresponding to each rotating speed in a complete rotating speed cycle according to the actual working condition parameters; correlating the working condition torque with the rotation speed of a precursor motor in the accelerator characteristic table; calculating the precursor torque duty ratio under the same rotating speed and the same accelerator opening according to the accelerator characteristic table; and determining the precursor torque at the corresponding rotating speed according to the precursor torque duty ratio and the working condition torque related to the rotating speed of the precursor motor so as to establish the corresponding relation between the rotating speed and the precursor torque.
In an embodiment of the present application, before determining the working condition torque corresponding to each rotation speed in a complete rotation speed cycle according to the actual working condition parameters, the method further includes: respectively carrying out value combination processing on throttle characteristic tables, energy recovery characteristic tables, external characteristic curves of vehicles and whole vehicle parameters of different vehicle types to obtain corresponding value combination parameters; and importing the combination parameters into a preset reliability model to determine working condition torque corresponding to each rotating speed in a complete rotating speed cycle based on the reliability model.
In an embodiment of the present application, the throttle characteristic table includes a front oil displacement door characteristic table and a rear oil displacement door characteristic table, and performing the value combining processing on the throttle characteristic tables of different vehicle types includes: and respectively carrying out value combination treatment on the front oil displacement door characteristic table and the rear oil displacement door characteristic table of different vehicle types, and importing the corresponding throttle characteristic table after the value combination into the reliability model to obtain the front drive torque and the rear drive torque corresponding to different rotating speeds of each vehicle type.
In an embodiment of the present application, calculating the precursor torque duty ratio under the same rotation speed and the same accelerator opening according to the accelerator characteristic table includes: calculating a target sum of the precursor torque and the rear-drive torque; and taking the ratio of the precursor torque to the target sum as the precursor torque duty ratio.
In one embodiment of the present application, the test bench includes: the electric driving system is used for simulating the running state of the motor; the dynamometer component is connected with the electric drive system and is used for outputting torque to the electric drive system and measuring the rotating speed of a motor in the electric drive system; a cooling system for controlling the temperature of the electric drive system by means of heat transfer; the control system is used for outputting a torque control instruction for the dynamometer component and receiving data measured by the dynamometer component; and the battery system is used for supplying power for each system and component of the test bench by the power battery.
In an embodiment of the present application, before the product testing based on the test bench, the method further includes: configuring test parameters for the test bench to complete product testing based on the test parameters, wherein the test parameters include: the rotational speed control precision is +/-1 rpm, the rotational speed difference of the dynamometer assembly is +/-2 rpm, the maximum output torque of the product is less than 70% of the maximum measured value of the equipment, and the torque measurement precision is +/-0.1% of the full range; the high-voltage control range is that the highest working voltage of the product is less than 70% of the highest working voltage of the equipment, the high-voltage control precision is +/-1 VDC, the low-voltage control precision is +/-0.1 VDC, the temperature control range is-40-70 ℃, the temperature control precision is +/-1 ℃, the flow control range of the cooling system is 8-12L/min, and the flow control precision of the cooling system is +/-0.1L/min.
The application also provides a reliability testing device of the four-wheel drive vehicle type electric drive assembly, which comprises: the parameter acquisition module is used for acquiring actual working condition parameters of different vehicle types; the working condition determining module is used for determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters; the test module is used for importing the corresponding relation into a pre-built test bench so as to call the corresponding relation to simulate the operation condition of the front auxiliary electric drive assembly when the product is tested based on the test bench, and test operation data are obtained; and the data analysis module is used for determining the test performance of the product according to the test operation data.
The present application also provides a computer device comprising: the method comprises the steps of a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the reliability test method of the four-wheel-drive vehicle type electric drive assembly when executing the computer program.
The application also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the steps of the reliability test method of the four-wheel drive vehicle type electric drive assembly.
As described above, the reliability test method, device, equipment and medium for the four-wheel drive type electric drive assembly have the following beneficial effects.
According to the method, the corresponding relation between the rotating speed and the precursor torque is determined according to the actual working condition parameters, so that precursor torque distribution is performed, the actual operation working condition is simulated, the method is used for restraining the operation working condition in the test process, the test process is more fit with the actual operation working condition, and the accuracy of the test of the front auxiliary electric drive assembly is ensured.
Drawings
FIG. 1 is a schematic diagram illustrating a method for testing reliability of a four-wheel drive vehicle type electric drive assembly according to an embodiment of the present application.
FIG. 2 is a schematic diagram of a test bench according to an embodiment of the application.
Fig. 3 is a schematic diagram of a measurement mode of an external spline according to an embodiment of the present application.
Fig. 4 is a schematic diagram of a measurement of an internal spline according to an embodiment of the present application.
FIG. 5 is a block diagram of a reliability test system for a four-wheel drive electric drive assembly according to an embodiment of the present application.
FIG. 6 is a schematic diagram of the internal structure of a computer device in one embodiment.
Detailed Description
Other advantages and effects of the present application will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present application with reference to specific examples. The application may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present application by way of illustration, and only the components related to the present application are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
Technical term analysis:
the off-vehicle characteristic curve is a curve of engine output (torque) as a function of the rotation speed measured when the engine throttle opening is 100%.
Referring to fig. 1, fig. 1 is a reliability testing method of a four-wheel drive vehicle type electric drive assembly according to an embodiment of the application, the method includes the following steps:
step S100, obtaining actual working condition parameters of different vehicle types.
In one embodiment, a four-wheel drive vehicle generally includes a front-drive motor and a rear-drive motor, typically with the rear-drive motor as the primary drive and the front-drive motor as the secondary drive. The embodiment of the application mainly provides a corresponding test method for the reliability of the auxiliary drive motor assembly. In order to make the working condition in the testing process more fit with the actual working condition, various practical working condition parameters for the policy to be tested can be collected in advance before the reliability test is performed, wherein the practical working condition parameters can include: the actual working condition parameters comprise: the system comprises an accelerator characteristic table, an energy recovery characteristic table, an external characteristic curve of a vehicle and whole vehicle parameters, wherein the accelerator characteristic table is used for representing motor rotating speeds corresponding to accelerator opening degrees under different driving working conditions, and the energy recovery characteristic table is used for representing precursor torques corresponding to accelerator pedals and deceleration pedals under different driving working conditions. The accelerator characteristic table is the accelerator map, and the accelerator map can be calibrated based on the actual running condition of the vehicle to obtain the accelerator characteristic table. The throttle maps may include a front throttle map and a rear throttle map. When the accelerator map is calibrated, the accelerator is stepped down at the same moment, the vehicle generates corresponding speed and acceleration, the apparent time change is changed into an implicit variable, and the speed, the acceleration and the accelerator opening are mapped into the same three-dimensional map to obtain the corresponding accelerator map. The speed and the motor speed are positively correlated, so that the throttle map can be used for representing the corresponding relation between the throttle opening and the motor speed. Corresponding throttle maps can be calibrated for the front drive motor and the rear drive motor respectively.
In one embodiment, the energy recovery profile is an energy recovery map, which is calibrated primarily for braking energy recovery. The braking energy recovery process is generally divided into two stages, wherein the first stage of energy recovery is to completely release the accelerator but not to step on the brake; and the energy in the second stage is recovered to completely release the accelerator and simultaneously step on the brake. According to actual conditions, the energy recovery intensity of the first stage is generally smaller than that of the second stage, the braking process can be reduced by calibrating the energy recovery of the first stage, and further the heat energy loss caused by friction of the brake pad is reduced. The intensity of energy recovery cannot be too small, so that insufficient braking force can be caused, and the brake is required to be additionally stepped on for deceleration. In addition, in the energy recovery process of the first stage, the clicking torque has a positive to negative change process, and the impact of the process is large, so that the comfort of passengers can be influenced. The energy recovery in the second stage is not quite as different from the problem to be considered in the first stage, but only the deceleration process is considered, and the requirement is relatively low. Therefore, energy recovery map fitting the actual running condition is obtained by performing energy recovery calibration according to the actual running condition. The specific calibration process can be completed by a provider of the corresponding vehicle model.
In one embodiment, the vehicle parameters include data such as gear ratio parameters, vehicle road resistance parameters, tire radius, vehicle mass, etc.
In an embodiment, obtaining actual condition parameters of different vehicle types includes: acquiring configuration information of a vehicle type; calling a data interface of a vehicle type provider according to the vehicle type configuration information; and acquiring actual working condition parameters of a corresponding vehicle type provider based on the data interface, wherein the actual working condition parameters are determined according to data acquired by a vehicle of the corresponding vehicle type under an actual running working condition.
Specifically, the vehicle type configuration information may be generated in advance according to the vehicle type to be tested. And then calling a data interface of the vehicle type provider in the database according to the vehicle type configuration information. Different vehicle model providers can output corresponding actual working condition parameters through respective specific data interfaces. And then the test working condition can be constructed according to the received actual working condition parameters. The vehicle model provider can collect various parameters of the vehicle under the actual driving working condition, and perform corresponding vehicle model related data calibration based on the collected parameters to obtain actual working condition parameters such as accelerator map, energy recovery map and the like.
And step S110, determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters.
In one embodiment, a reliability model may be pre-built, which may be used to receive actual operating condition parameters as input. The reliability model is used for simulating the change of the vehicle torque in a plurality of rotation speed cycle periods under the combined action of the front drive motor and the rear drive motor. The reliability model can be subjected to physical simulation by MATLAB, a simulation model of the vehicle is built, and the specific model building process is well known in the art and is not repeated here. The corresponding relation between the rotating speed and the precursor torque can be output through the reliability model.
In an embodiment, before determining the working condition torque corresponding to each rotation speed in a complete rotation speed cycle according to the actual working condition parameters, the method further includes: respectively carrying out value combination processing on throttle characteristic tables, energy recovery characteristic tables, external characteristic curves of vehicles and whole vehicle parameters of different vehicle types to obtain corresponding value combination parameters; and importing the combination parameters into a preset reliability model to determine working condition torque corresponding to each rotating speed in a complete rotating speed cycle based on the reliability model.
Specifically, before the actual working condition parameters are led into the reliability model, the parameters in the actual working condition parameters can be respectively subjected to value combination processing, that is, the same parameter values of different vehicle types are added to obtain the combined values (the combined values of the external characteristics of the precursor, the combined values of the external characteristics of the rear drive, the combined values of the accelerator map, the combined values of the energy recovery map and the like) of the parameters. And respectively importing the obtained parameter combination values into a reliability model, and deriving the rotating speed-torque reliability working condition of at least one complete cycle based on the reliability model.
In an embodiment, the throttle characteristic table includes a front oil displacement door characteristic table and a rear oil displacement door characteristic table, and performing the value combination processing on the throttle characteristic tables of different vehicle types includes: and respectively carrying out value combination treatment on the front oil displacement door characteristic table and the rear oil displacement door characteristic table of different vehicle types, and importing the corresponding throttle characteristic table after the value combination into the reliability model to obtain the front drive torque and the rear drive torque corresponding to different rotating speeds of each vehicle type.
In an embodiment, calculating the precursor torque duty ratio under the same rotation speed and the same accelerator opening according to the accelerator characteristic table includes: calculating a target sum of the precursor torque and the rear-drive torque; and taking the ratio of the precursor torque to the target sum as the precursor torque duty ratio.
Specifically, based on the reliability condition derived from the reliability model, a torque satisfying the reliability condition is determined. And further, torque distribution is carried out based on an accelerator map, and the accelerator map is used for representing the corresponding relation between the accelerator opening and the rotating speed because the reliability model derives the reliable working conditions of the rotating speed and the torque. Torque at the corresponding rotational speed may be distributed into the throttle map such that the throttle map is associated with the torque. The front drive throttle map distributes the front drive torque, and the rear drive throttle map distributes the rear drive torque. And then, based on the distributed torque, calculating a precursor duty ratio under the joint participation of the precursor and the rear drive, wherein the precursor duty ratio can be expressed as the ratio of the precursor torque to the precursor torque under the same rotation speed and the same accelerator opening. Wherein the sum of the front and rear drive torques is the sum of the front torque and the rear drive torque. The precursor torque duty cycle in the torque split state can be obtained through the above calculation process.
In an embodiment, the precursor torque under different reliability conditions may be calculated according to the calculated ratios of the precursor torques and the torques derived by the reliability model, where the precursor torque may be expressed as a product of the ratio of the precursor torque and the torque corresponding to the reliability conditions. And then the calculated precursor torque is tidied to obtain a final reliability working condition, and the reliability working condition represents the corresponding relation between the rotating speed and the precursor torque under the corresponding driving working condition.
And step S120, importing the corresponding relation into a pre-built test bench so as to call the corresponding relation to simulate the operation condition of the front auxiliary electric drive assembly when the product is tested based on the test bench, and obtaining test operation data.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating a test bench according to an embodiment of the application. The test bench includes: the electric driving system is used for simulating the running state of the motor; the dynamometer component is connected with the electric drive system and is used for outputting torque to the electric drive system and measuring the rotating speed of a motor in the electric drive system; a cooling system for controlling the temperature of the electric drive system by means of heat transfer; the control system is used for outputting a torque control instruction for the dynamometer component and receiving data measured by the dynamometer component; and the battery system is used for supplying power for each system and component of the test bench by the power battery.
Specifically, the electric drive system comprises a motor and a motor controller (Intelligent Processing Unit, IPU), wherein the motor controller is respectively connected with the motor and a battery simulator through a high-voltage wire harness, the battery simulator is controlled by a PC end, and the battery simulator is connected with a power battery through the high-voltage wire harness. The battery simulator controls the power battery to supply power for the IPU and the motor. The IPU and motor are temperature controlled by a cooling system. The dynamometer component can comprise two dynamometers, the two dynamometers are respectively connected with a speed reducer of the motor, the dynamometers output rotating speeds to the speed reducer, and the torque of the motor is controlled through the speed reducer.
In an embodiment, before the product test is performed based on the test bench, the method further includes: configuring test parameters for the test bench to complete product testing based on the test parameters, wherein the test parameters include: the rotational speed control precision is +/-1 rpm, the rotational speed difference of the dynamometer assembly is +/-2 rpm, the maximum output torque of the product is less than 70% of the maximum measured value of the equipment, and the torque measurement precision is +/-0.1% of the full range; the high-voltage control range is that the highest working voltage of the product is less than 70% of the highest working voltage of the equipment, the high-voltage control precision is +/-1 VDC, the low-voltage control precision is +/-0.1 VDC, the temperature control range is-40-70 ℃, the temperature control precision is +/-1 ℃, the flow control range of the cooling system is 8-12L/min, and the flow control precision of the cooling system is +/-0.1L/min.
In one embodiment, the test bench is built, and corresponding parameters in the CAN protocol and signals in the system are configured on the test industrial personal computer.
In an embodiment, after the test bench is built, the bench may be ground according to the reliability condition, and the grinding step may be as follows:
1) Accelerating to 85% of maximum speed by using 10% of target accelerator;
2) Decelerating to 0km/h with a 10% grade;
3) Resting for 5s;
4) Repeating steps 1) to 3) 5 times;
5) Increasing the target accelerator with a gradient of 10% accelerator, and repeating the steps 1) to 4) until the target accelerator is 100%.
And (5) carrying out product testing after finishing the running-in of the rack.
In an embodiment, when a product is tested based on the test bench, the reliability working condition obtained above may be invoked, the torque is distributed to the dynamometer based on the corresponding relation between the precursor torque and the rotation speed in the reliability working condition, so as to control the motor to operate under the corresponding precursor torque and rotation speed constraint, and test operation data in the test process is sampled, where the test operation data may include the rotation speed of the dynamometer, the torque of the dynamometer, the road resistance, the rotation speed of the motor, the torque of the motor, the failure level of the motor system, the temperature of the motor, and the cycle number. The sampling frequency is not lower than 1Hz. The products for testing can be splines of the motor, and the splines are taken as an example, the splines are assembled into the motor during testing, and the reliability working condition obtained through the steps is called to simulate the actual operation working condition for testing.
And step S130, determining the test performance of the product according to the test operation data.
In one embodiment, prior to performing the product test, data such as product dimensions may be pre-measured and the measured data may be imported into the control system of the test stand to compare and determine the test performance of the product based on the collected test run data and the pre-measured data.
Referring to fig. 3 and 4, fig. 3 is a schematic diagram illustrating a measurement method of an external spline according to an embodiment of the application. Fig. 4 is a schematic diagram of a measurement of an internal spline according to an embodiment of the present application. Specifically, according to the design size requirement of the spline, the corresponding measuring rod is matched with an outside micrometer to measure the span size of the external spline, and the corresponding measuring rod is matched with a gauge block to measure the span size of the internal spline. When the span length is measured, the number of teeth between two measuring bars is half of the number of designed teeth, all the span length dimensions of teeth are measured along the circumference, and each group of span length is measured for 3 times. When initial testing is carried out, the initial measuring teeth are marked, so that the one-to-one correspondence between the span rod distance in retrying and the initial testing is ensured.
In one embodiment, during the external characteristic test, the sample can be fixed on the power assembly test stand according to the requirement, and the high-voltage input voltage of the sample is respectively set to be the full-power minimum voltage, the rated voltage and the full-power maximum voltage, and the test is performed according to the working conditions shown in the table one.
List one
Rotating speed (r/min) Torque (Nm)
100 Peak torque at this rotational speed (electric power generation)
200 Peak torque at this rotational speed (electric power generation)
300 Peak torque at this rotational speed (electric power generation)
Maximum operating speed Peak torque at this rotational speed (electric power generation)
In one embodiment, the reliability test is divided into a phase and a two phase. The number of cycles of the reliability condition for each stage can be set to 313 cycles (equivalent ten years and hundred thousand kilometers, and other life times can be scaled) requiring that the two-stage condition be operated after the prescribed number of times of the one-stage condition is completed, and the one-stage and two-stage tests are continuously performed.
After two-stage testing, data processing is performed according to the obtained test operation data, and the specific processing process can be expressed as follows:
and the spline span size is used for respectively calculating the tooth width and the tooth thickness of the spline during initial retries according to the requirements of involute spline size parameter calculation.
The primary and secondary average tooth thickness of the external spline is calculated according to 1).
Wherein:
x n -tooth thickness of each tooth.
And respectively calculating initial retry average tooth widths of the internal splines according to the step 2).
Wherein:
x n -tooth width of each tooth.
The gap variation is calculated according to equation 3).
In one embodiment, after the test is completed, the electrical drive assembly is free from deformation or breakage in appearance; the abrasion loss of the spline matched with the reducer is less than 0.2mm; the change rate of the external characteristic value of the assembly is less than 5 percent. And if the conditions are met, the corresponding spline is considered to be qualified in test, otherwise, the corresponding spline is not qualified in test.
Referring to fig. 5, fig. 5 is a block diagram of a reliability testing apparatus for a four-wheel drive vehicle type electric drive assembly according to an embodiment of the application, the apparatus includes: the parameter acquisition module 10 is used for acquiring actual working condition parameters of different vehicle types; the working condition determining module 11 is used for determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters; the test module 12 is configured to import the correspondence into a pre-built test bench, so as to invoke the correspondence to simulate an operation condition of a front auxiliary electric drive assembly when a product is tested based on the test bench, so as to obtain test operation data; and the data analysis module 13 is used for determining the test performance of the product according to the test operation data.
In an embodiment, the parameter obtaining module 10 is further configured to obtain actual operating condition parameters of different vehicle types, including: acquiring configuration information of a vehicle type; calling a data interface of a vehicle type provider according to the vehicle type configuration information; and acquiring actual working condition parameters of a corresponding vehicle type provider based on the data interface, wherein the actual working condition parameters are determined according to data acquired by a vehicle of the corresponding vehicle type under an actual running working condition.
In one embodiment, the actual operating condition parameters include: the system comprises an accelerator characteristic table, an energy recovery characteristic table, an external characteristic curve of a vehicle and whole vehicle parameters, wherein the accelerator characteristic table is used for representing motor rotating speeds corresponding to accelerator opening degrees under different driving working conditions, and the energy recovery characteristic table is used for representing precursor torques corresponding to accelerator pedals and deceleration pedals under different driving working conditions.
In an embodiment, the working condition determining module 11 is further configured to determine a corresponding relationship between a rotational speed and a precursor torque of a corresponding vehicle model according to the actual working condition parameter, including: determining working condition torque corresponding to each rotating speed in a complete rotating speed cycle according to the actual working condition parameters; correlating the working condition torque with the rotation speed of a precursor motor in the accelerator characteristic table; calculating the precursor torque duty ratio under the same rotating speed and the same accelerator opening according to the accelerator characteristic table; and determining the precursor torque at the corresponding rotating speed according to the precursor torque duty ratio and the working condition torque related to the rotating speed of the precursor motor so as to establish the corresponding relation between the rotating speed and the precursor torque.
In one embodiment, before the working condition determining module 11 is further configured to determine the working condition torque corresponding to each rotation speed in a complete rotation speed cycle according to the actual working condition parameter, the working condition determining module further includes: respectively carrying out value combination processing on throttle characteristic tables, energy recovery characteristic tables, external characteristic curves of vehicles and whole vehicle parameters of different vehicle types to obtain corresponding value combination parameters; and importing the combination parameters into a preset reliability model to determine working condition torque corresponding to each rotating speed in a complete rotating speed cycle based on the reliability model.
In an embodiment, the working condition determining module 11 is further configured to perform a value combining process on the throttle characteristic tables of different vehicle types, where the throttle characteristic table includes a front oil displacement door characteristic table and a rear oil displacement door characteristic table, and the value combining process includes: and respectively carrying out value combination treatment on the front oil displacement door characteristic table and the rear oil displacement door characteristic table of different vehicle types, and importing the corresponding throttle characteristic table after the value combination into the reliability model to obtain the front drive torque and the rear drive torque corresponding to different rotating speeds of each vehicle type.
In an embodiment, the working condition determining module 11 is further configured to calculate a precursor torque duty ratio under the same rotation speed and the same accelerator opening according to the accelerator characteristic table, and includes: calculating a target sum of the precursor torque and the rear-drive torque; and taking the ratio of the precursor torque to the target sum as the precursor torque duty ratio.
In one embodiment, the test bench includes: the electric driving system is used for simulating the running state of the motor; the dynamometer component is connected with the electric drive system and is used for outputting torque to the electric drive system and measuring the rotating speed of a motor in the electric drive system; a cooling system for controlling the temperature of the electric drive system by means of heat transfer; the control system is used for outputting a torque control instruction for the dynamometer component and receiving data measured by the dynamometer component; and the battery system is used for supplying power for each system and component of the test bench by the power battery.
In one embodiment, the test module 12 is further configured to, before performing the product test based on the test bench, further include: configuring test parameters for the test bench to complete product testing based on the test parameters, wherein the test parameters include: the rotational speed control precision is +/-1 rpm, the rotational speed difference of the dynamometer assembly is +/-2 rpm, the maximum output torque of the product is less than 70% of the maximum measured value of the equipment, and the torque measurement precision is +/-0.1% of the full range; the high-voltage control range is that the highest working voltage of the product is less than 70% of the highest working voltage of the equipment, the high-voltage control precision is +/-1 VDC, the low-voltage control precision is +/-0.1 VDC, the temperature control range is-40-70 ℃, the temperature control precision is +/-1 ℃, the flow control range of the cooling system is 8-12L/min, and the flow control precision of the cooling system is +/-0.1L/min.
The reliability test system of the four-wheel drive electric drive assembly can be implemented in the form of a computer program which can be run on a computer device as shown in fig. 6. A computer device, comprising: memory, a processor, and a computer program stored on the memory and executable on the processor.
All or part of each module in the reliability test system of the four-wheel drive type electric drive assembly can be realized by software, hardware and a combination thereof. The above modules can be embedded in the memory of the terminal in a hardware form or independent of the terminal, and can also be stored in the memory of the terminal in a software form, so that the processor can call and execute the operations corresponding to the above modules. The processor may be a Central Processing Unit (CPU), microprocessor, single-chip microcomputer, etc.
As shown in fig. 6, a schematic diagram of the internal structure of the computer device in one embodiment is shown. There is provided a computer device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of: acquiring actual working condition parameters of different vehicle types; determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters; the corresponding relation is imported into a pre-built test bench, so that when product testing is conducted based on the test bench, the corresponding relation is called to simulate the operation condition of the front auxiliary electric drive assembly, and test operation data are obtained; and determining the test performance of the product according to the test operation data.
In an embodiment, when the processor executes the foregoing, the obtaining the actual working condition parameters of different vehicle models includes: acquiring configuration information of a vehicle type; calling a data interface of a vehicle type provider according to the vehicle type configuration information; and acquiring actual working condition parameters of a corresponding vehicle type provider based on the data interface, wherein the actual working condition parameters are determined according to data acquired by a vehicle of the corresponding vehicle type under an actual running working condition.
In one embodiment, the actual operating condition parameters include: the system comprises an accelerator characteristic table, an energy recovery characteristic table, an external characteristic curve of a vehicle and whole vehicle parameters, wherein the accelerator characteristic table is used for representing motor rotating speeds corresponding to accelerator opening degrees under different driving working conditions, and the energy recovery characteristic table is used for representing precursor torques corresponding to accelerator pedals and deceleration pedals under different driving working conditions.
In an embodiment, when the processor executes the foregoing determining, according to the actual working condition parameter, a corresponding relationship between a rotation speed and a precursor torque of a corresponding vehicle model includes: determining working condition torque corresponding to each rotating speed in a complete rotating speed cycle according to the actual working condition parameters; correlating the working condition torque with the rotation speed of a precursor motor in the accelerator characteristic table; calculating the precursor torque duty ratio under the same rotating speed and the same accelerator opening according to the accelerator characteristic table; and determining the precursor torque at the corresponding rotating speed according to the precursor torque duty ratio and the working condition torque related to the rotating speed of the precursor motor so as to establish the corresponding relation between the rotating speed and the precursor torque.
In an embodiment, before determining the working condition torque corresponding to each rotation speed in a complete rotation speed cycle according to the actual working condition parameter, the processor further includes: respectively carrying out value combination processing on throttle characteristic tables, energy recovery characteristic tables, external characteristic curves of vehicles and whole vehicle parameters of different vehicle types to obtain corresponding value combination parameters; and importing the combination parameters into a preset reliability model to determine working condition torque corresponding to each rotating speed in a complete rotating speed cycle based on the reliability model.
In an embodiment, when the processor executes the foregoing, the implemented accelerator characteristic table includes a front oil displacement door characteristic table and a rear oil displacement door characteristic table, and performing the value combining processing on the accelerator characteristic tables of different vehicle types includes: and respectively carrying out value combination treatment on the front oil displacement door characteristic table and the rear oil displacement door characteristic table of different vehicle types, and importing the corresponding throttle characteristic table after the value combination into the reliability model to obtain the front drive torque and the rear drive torque corresponding to different rotating speeds of each vehicle type.
In an embodiment, when the processor executes the foregoing calculation, the implemented calculation of the precursor torque duty ratio under the same rotation speed and the same accelerator opening according to the accelerator characteristic table includes: calculating a target sum of the precursor torque and the rear-drive torque; and taking the ratio of the precursor torque to the target sum as the precursor torque duty ratio.
In one embodiment, the test bench implemented when executed by the processor includes: the electric driving system is used for simulating the running state of the motor; the dynamometer component is connected with the electric drive system and is used for outputting torque to the electric drive system and measuring the rotating speed of a motor in the electric drive system; a cooling system for controlling the temperature of the electric drive system by means of heat transfer; the control system is used for outputting a torque control instruction for the dynamometer component and receiving data measured by the dynamometer component; and the battery system is used for supplying power for each system and component of the test bench by the power battery.
In an embodiment, before the processor performs the product test based on the test bench, the method further includes: configuring test parameters for the test bench to complete product testing based on the test parameters, wherein the test parameters include: the rotational speed control precision is +/-1 rpm, the rotational speed difference of the dynamometer assembly is +/-2 rpm, the maximum output torque of the product is less than 70% of the maximum measured value of the equipment, and the torque measurement precision is +/-0.1% of the full range; the high-voltage control range is that the highest working voltage of the product is less than 70% of the highest working voltage of the equipment, the high-voltage control precision is +/-1 VDC, the low-voltage control precision is +/-0.1 VDC, the temperature control range is-40-70 ℃, the temperature control precision is +/-1 ℃, the flow control range of the cooling system is 8-12L/min, and the flow control precision of the cooling system is +/-0.1L/min.
In one embodiment, the computer device may be used as a server, including but not limited to a stand-alone physical server, or a server cluster formed by a plurality of physical servers, and may also be used as a terminal, including but not limited to a mobile phone, a tablet computer, a personal digital assistant, a smart device, or the like. As shown in fig. 6, the computer device includes a processor, a non-volatile storage medium, an internal memory, a display screen, and a network interface connected by a system bus.
Wherein the processor of the computer device is configured to provide computing and control capabilities to support the operation of the entire computer device. The non-volatile storage medium of the computer device stores an operating system and a computer program. The computer program can be executed by a processor to implement the reliability testing method of the four-wheel drive vehicle type electric drive assembly provided by the above embodiments. Internal memory in a computer device provides a cached operating environment for an operating system and computer programs in a non-volatile storage medium. The display interface can display data through the display screen. The display screen may be a touch screen, such as a capacitive screen or an electronic screen, and the corresponding instruction may be generated by receiving a click operation on a control displayed on the touch screen.
It will be appreciated by those skilled in the art that the architecture of the computer device illustrated in fig. 6 is merely a block diagram of portions of the architecture in connection with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or less components than those illustrated, or may be combined with certain components, or have a different arrangement of components.
In one embodiment, a computer readable storage medium is provided having stored thereon a computer program which when executed by a processor performs the steps of: acquiring actual working condition parameters of different vehicle types; determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters; the corresponding relation is imported into a pre-built test bench, so that when product testing is conducted based on the test bench, the corresponding relation is called to simulate the operation condition of the front auxiliary electric drive assembly, and test operation data are obtained; and determining the test performance of the product according to the test operation data.
In an embodiment, when the computer program is executed by the processor, the obtaining the actual working condition parameters of different vehicle types includes: acquiring configuration information of a vehicle type; calling a data interface of a vehicle type provider according to the vehicle type configuration information; and acquiring actual working condition parameters of a corresponding vehicle type provider based on the data interface, wherein the actual working condition parameters are determined according to data acquired by a vehicle of the corresponding vehicle type under an actual running working condition.
In one embodiment, the actual operating condition parameters include: the system comprises an accelerator characteristic table, an energy recovery characteristic table, an external characteristic curve of a vehicle and whole vehicle parameters, wherein the accelerator characteristic table is used for representing motor rotating speeds corresponding to accelerator opening degrees under different driving working conditions, and the energy recovery characteristic table is used for representing precursor torques corresponding to accelerator pedals and deceleration pedals under different driving working conditions.
In an embodiment, when the computer program is executed by the processor, the implemented method for determining the corresponding relation between the rotation speed and the precursor torque of the corresponding vehicle model according to the actual working condition parameter includes: determining working condition torque corresponding to each rotating speed in a complete rotating speed cycle according to the actual working condition parameters; correlating the working condition torque with the rotation speed of a precursor motor in the accelerator characteristic table; calculating the precursor torque duty ratio under the same rotating speed and the same accelerator opening according to the accelerator characteristic table; and determining the precursor torque at the corresponding rotating speed according to the precursor torque duty ratio and the working condition torque related to the rotating speed of the precursor motor so as to establish the corresponding relation between the rotating speed and the precursor torque.
In one embodiment, before determining the working condition torque corresponding to each rotation speed in a complete rotation speed cycle according to the actual working condition parameters, the computer program when executed by the processor further includes: respectively carrying out value combination processing on throttle characteristic tables, energy recovery characteristic tables, external characteristic curves of vehicles and whole vehicle parameters of different vehicle types to obtain corresponding value combination parameters; and importing the combination parameters into a preset reliability model to determine working condition torque corresponding to each rotating speed in a complete rotating speed cycle based on the reliability model.
In an embodiment, when the computer program is executed by the processor, the implemented throttle characteristic table includes a front oil displacement door characteristic table and a rear oil displacement door characteristic table, and the performing the value combining processing on the throttle characteristic tables of different vehicle types includes: and respectively carrying out value combination treatment on the front oil displacement door characteristic table and the rear oil displacement door characteristic table of different vehicle types, and importing the corresponding throttle characteristic table after the value combination into the reliability model to obtain the front drive torque and the rear drive torque corresponding to different rotating speeds of each vehicle type.
In one embodiment, the instructions, when executed by the processor, implement calculating the precursor torque duty ratio under the same rotation speed and the same accelerator opening according to the accelerator characteristic table, including: calculating a target sum of the precursor torque and the rear-drive torque; and taking the ratio of the precursor torque to the target sum as the precursor torque duty ratio.
In one embodiment, the test bench is implemented to include: the electric driving system is used for simulating the running state of the motor; the dynamometer component is connected with the electric drive system and is used for outputting torque to the electric drive system and measuring the rotating speed of a motor in the electric drive system; a cooling system for controlling the temperature of the electric drive system by means of heat transfer; the control system is used for outputting a torque control instruction for the dynamometer component and receiving data measured by the dynamometer component; and the battery system is used for supplying power for each system and component of the test bench by the power battery.
In one embodiment, the instructions, when executed by the processor, further comprise, before the product testing based on the test bench, the steps of: configuring test parameters for the test bench to complete product testing based on the test parameters, wherein the test parameters include: the rotational speed control precision is +/-1 rpm, the rotational speed difference of the dynamometer assembly is +/-2 rpm, the maximum output torque of the product is less than 70% of the maximum measured value of the equipment, and the torque measurement precision is +/-0.1% of the full range; the high-voltage control range is that the highest working voltage of the product is less than 70% of the highest working voltage of the equipment, the high-voltage control precision is +/-1 VDC, the low-voltage control precision is +/-0.1 VDC, the temperature control range is-40-70 ℃, the temperature control precision is +/-1 ℃, the flow control range of the cooling system is 8-12L/min, and the flow control precision of the cooling system is +/-0.1L/min.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or the like.
The above embodiments are merely illustrative of the principles of the present application and its effectiveness, and are not intended to limit the application. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the application. Accordingly, it is intended that all equivalent modifications and variations of the application be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.

Claims (12)

1. The reliability test method of the four-wheel drive vehicle type electric drive assembly is characterized by comprising the following steps of:
acquiring actual working condition parameters of different vehicle types;
determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters;
the corresponding relation is imported into a pre-built test bench, so that when product testing is conducted based on the test bench, the corresponding relation is called to simulate the operation condition of the front auxiliary electric drive assembly, and test operation data are obtained;
and determining the test performance of the product according to the test operation data.
2. The method for testing the reliability of the four-wheel drive vehicle type electric drive assembly according to claim 1, wherein obtaining actual condition parameters of different vehicle types comprises:
Acquiring configuration information of a vehicle type;
calling a data interface of a vehicle type provider according to the vehicle type configuration information;
and acquiring actual working condition parameters of a corresponding vehicle type provider based on the data interface, wherein the actual working condition parameters are determined according to data acquired by a vehicle of the corresponding vehicle type under an actual running working condition.
3. The method for testing the reliability of the four-wheel drive vehicle type electric drive assembly according to claim 2, wherein the actual condition parameters include: the system comprises an accelerator characteristic table, an energy recovery characteristic table, an external characteristic curve of a vehicle and whole vehicle parameters, wherein the accelerator characteristic table is used for representing motor rotating speeds corresponding to accelerator opening degrees under different driving working conditions, and the energy recovery characteristic table is used for representing precursor torques corresponding to accelerator pedals and deceleration pedals under different driving working conditions.
4. The method for testing the reliability of the electric drive assembly of the four-wheel drive vehicle according to claim 3, wherein determining the corresponding relation between the rotating speed and the precursor torque of the corresponding vehicle according to the actual condition parameter comprises:
determining working condition torque corresponding to each rotating speed in a complete rotating speed cycle according to the actual working condition parameters;
correlating the working condition torque with the rotation speed of a precursor motor in the accelerator characteristic table;
Calculating the precursor torque duty ratio under the same rotating speed and the same accelerator opening according to the accelerator characteristic table;
and determining the precursor torque at the corresponding rotating speed according to the precursor torque duty ratio and the working condition torque related to the rotating speed of the precursor motor so as to establish the corresponding relation between the rotating speed and the precursor torque.
5. The method for testing the reliability of the electric drive assembly of the four-wheel drive vehicle according to claim 4, further comprising, before determining the working condition torque corresponding to each rotation speed in a complete rotation speed cycle according to the actual working condition parameters:
respectively carrying out value combination processing on throttle characteristic tables, energy recovery characteristic tables, external characteristic curves of vehicles and whole vehicle parameters of different vehicle types to obtain corresponding value combination parameters;
and importing the combination parameters into a preset reliability model to determine working condition torque corresponding to each rotating speed in a complete rotating speed cycle based on the reliability model.
6. The method for testing the reliability of the four-wheel drive vehicle type electric drive assembly according to claim 5, wherein the throttle characteristic table comprises a front oil displacement door characteristic table and a rear oil displacement door characteristic table, and the performing the value combining processing on the throttle characteristic tables of different vehicle types comprises: and respectively carrying out value combination treatment on the front oil displacement door characteristic table and the rear oil displacement door characteristic table of different vehicle types, and importing the corresponding throttle characteristic table after the value combination into the reliability model to obtain the front drive torque and the rear drive torque corresponding to different rotating speeds of each vehicle type.
7. The method for testing the reliability of the four-wheel drive vehicle type electric drive assembly according to claim 6, wherein calculating the precursor torque duty ratio under the same rotation speed and the same accelerator opening according to the accelerator characteristic table comprises:
calculating a target sum of the precursor torque and the rear-drive torque;
and taking the ratio of the precursor torque to the target sum as the precursor torque duty ratio.
8. The method for testing the reliability of the four-wheel drive vehicle type electric drive assembly according to claim 1, wherein the test bench comprises:
the electric driving system is used for simulating the running state of the motor;
the dynamometer component is connected with the electric drive system and is used for outputting torque to the electric drive system and measuring the rotating speed of a motor in the electric drive system;
a cooling system for controlling the temperature of the electric drive system by means of heat transfer;
the control system is used for outputting a torque control instruction for the dynamometer component and receiving data measured by the dynamometer component;
and the battery system is used for supplying power for each system and component of the test bench by the power battery.
9. The method for testing the reliability of the four-wheel drive vehicle type electric drive assembly according to claim 1, characterized by further comprising, before the product test based on the test bench:
Configuring test parameters for the test bench to complete product testing based on the test parameters, wherein the test parameters include: the rotational speed control precision is +/-1 rpm, the rotational speed difference of the dynamometer assembly is +/-2 rpm, the maximum output torque of the product is less than 70% of the maximum measured value of the equipment, and the torque measurement precision is +/-0.1% of the full range; the high-voltage control range is that the highest working voltage of the product is less than 70% of the highest working voltage of the equipment, the high-voltage control precision is +/-1 VDC, the low-voltage control precision is +/-0.1 VDC, the temperature control range is-40-70 ℃, the temperature control precision is +/-1 ℃, the flow control range of the cooling system is 8-12L/min, and the flow control precision of the cooling system is +/-0.1L/min.
10. The utility model provides a four drive motorcycle type electricity drives reliability test device of assembly which characterized in that includes:
the parameter acquisition module is used for acquiring actual working condition parameters of different vehicle types;
the working condition determining module is used for determining the corresponding relation between the rotating speed of the corresponding vehicle type and the precursor torque according to the actual working condition parameters;
the test module is used for importing the corresponding relation into a pre-built test bench so as to call the corresponding relation to simulate the operation condition of the front auxiliary electric drive assembly when the product is tested based on the test bench, and test operation data are obtained;
And the data analysis module is used for determining the test performance of the product according to the test operation data.
11. A computer device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the reliability testing method of the four-wheel drive vehicle type electric drive assembly according to any one of claims 1 to 9 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the reliability testing method of a four-wheel drive vehicle type electric drive assembly as claimed in any one of claims 1 to 9.
CN202310753947.9A 2023-06-25 2023-06-25 Reliability test method, device, equipment and medium for four-wheel drive type electric drive assembly Pending CN117129855A (en)

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CN202310753947.9A CN117129855A (en) 2023-06-25 2023-06-25 Reliability test method, device, equipment and medium for four-wheel drive type electric drive assembly

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Application Number Priority Date Filing Date Title
CN202310753947.9A CN117129855A (en) 2023-06-25 2023-06-25 Reliability test method, device, equipment and medium for four-wheel drive type electric drive assembly

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CN117129855A true CN117129855A (en) 2023-11-28

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