140 results about "Calibration result" patented technology

The application provides a line array camera calibration method, device and equipment for scanning feature points and a storage medium. By obtaining displacement information corresponding to different positions of a mobile platform and image data of a scanning object under multiple perspectives, homonymous mark points corresponding to the same physical structure under different perspectives are identified, a camera calibration model is established based on the displacement information and the image coordinates of the homonymous mark points, and joint solving of camera extrinsic parameters, camera intrinsic parameters and mark point space structure parameters is realized. Further, by constructing a re-projection model and using re-projection errors to optimize and update the calibration parameters, high-precision camera calibration results are obtained. Compared with a traditional calibration method relying on regular calibration objects such as a checkerboard, the application can directly use the feature structure of the scanning object itself to complete calibration, without the need for additional calibration objects, thereby effectively avoiding the influence of calibration object manufacturing errors and installation errors on the calibration accuracy.

The application discloses a method for designing and calibrating a detection site of an unmanned aerial vehicle based on high-precision positioning, comprising the following steps: S1, setting a main control point and a standard point; S2, performing static relative measurement and free station measurement, and outputting a reference coordinate data set; S3, introducing a Boolean sand model, calculating accurate three-dimensional coordinate values of the main control point, evaluating residual errors, and generating reference data of the main control point; S4, performing multi-station redundant observation on the standard point, and outputting accurate coordinate data of the standard point; S5, constructing an improved Hamilton Monte Carlo-based Bayesian inference model, introducing a Gaussian mixture prior guide factor, calculating a posterior probability distribution and an extended uncertainty, and generating a calibration data report; and S6, performing independent measurement and comparative analysis, and outputting a final calibration result. The application realizes accurate measurement of point coordinates of a detection site and scientific evaluation of uncertainty, and effectively improves the reliability and robustness of value traceability.

This invention provides a static weight-based multi-dimensional force sensor calibration device, comprising: a worktable, a force reversing mechanism, a rotating platform, a loading disk, and a loading assembly; the rotation center of the rotating platform is perpendicular to the rotation center of the force reversing mechanism; a turntable is fixed to the rotating platform, and a multi-component force sensor to be calibrated is fixed to the turntable; the loading disk is fixed to the top of the multi-component force sensor to be calibrated, and a loading connector is provided on the loading disk; a pulley assembly is provided on the top of the worktable; when calibrating the force of the multi-component force sensor to be calibrated, the line connecting the pulley assembly and the loading connector is on the central axis of the worktable; when calibrating the torque of the multi-component force sensor to be calibrated, the line connecting the pulley assembly and the loading connector is parallel to the central axis of the worktable. This device optimizes the force loading method, changing from loading each component separately to loading the resultant force through a single rope, avoiding mechanical interference during multi-dimensional loading, achieving high repeatability of force loading, and improving the accuracy and reliability of calibration results.

The application relates to the technical field of satellite laser communication. The application discloses an intersatellite laser communication in-orbit calibration method, device, satellite and system, which can realize parallel initiation and cooperative execution of multi-satellite calibration tasks and improve the networking efficiency of a large-scale constellation. The method comprises the following steps: acquiring visible state information of each satellite in an intersatellite laser communication system; based on the visible state information of all satellites in the intersatellite laser communication system, performing calibration processing on all satellites in the intersatellite laser communication system in a parallel calibration mode to obtain a first final calibration result; judging whether all satellites complete calibration based on the first final calibration result to obtain a first judgment result; in the case that the first judgment result is that not all satellites complete calibration, performing calibration processing on all uncalibrated satellites in a cooperative calibration mode to obtain a second final calibration result; and the second final calibration result is used for reflecting that all satellites have completed calibration.

The application provides an iterative calibration method, device, equipment and medium for an optical fiber inertial navigation system, which comprises the following steps: collecting sample data of the optical fiber inertial navigation system according to a preset calibration path arrangement scheme; establishing a state error model and a measurement model according to the sample data; calibrating parameters in the error model to obtain first error parameters and a first residual error by using the error model; compensating and correcting device error parameters in the first error parameters, and calibrating the first residual error to obtain second error parameters and a second residual error; and repeatedly performing the compensation and correction and the calibration until the residual error converges to a stable value. The iterative calibration method for the optical fiber inertial navigation system provided in the application iterates once by using system-level calibration data, minimizes the final calibration result error, performs the system-level calibration only once, simplifies the calibration process, and greatly saves the calibration time of the optical fiber inertial navigation system.

The application provides a floating slab track steel spring stiffness vehicle-mounted identification method based on digital twinning, relates to the technical field of rail transit, and comprises the following steps: performing small-area digital twinning calibration on vehicle dynamic response data, performing vehicle-mounted extension identification on the calibration result, and obtaining a line finite element model; performing collaborative hierarchical updating on a rail transit vibration model according to characteristic frequencies, updating track irregularity parameters in combination with axle box acceleration signals and Chinese spectrum, and obtaining a small-area digital twinning model; constructing a stiffness identification database according to the principle of floating slab steel spring stiffness degradation and damage; constructing a particle independent parallel simulation environment based on the stiffness identification database and vehicle-mounted acceleration signals, constructing an improved particle swarm optimization algorithm, and identifying the vehicle-mounted damage degree and position of the floating slab track steel spring stiffness based on the optimal parameter solution of the improved particle swarm optimization algorithm. The application solves the problem that the health state of the floating slab track steel spring cannot be grasped in time.

This application relates to a method, apparatus, computer device, storage medium, and computer program product for zero-position calibration of a steering angle sensor. The method includes: upon receiving a calibration request from a backend server, controlling an electric power steering controller to perform calibration preparation and obtaining a calibration preparation result; if the calibration preparation result indicates that calibration preparation is complete, unlocking the electric power steering controller and obtaining an unlocking result; if the unlocking result indicates successful unlocking, controlling the electric power steering controller to perform zero-position calibration of the steering angle sensor and obtaining a calibration result; and if the calibration result indicates that the zero-position calibration of the steering angle sensor is successful, sending the calibration result to the backend server. This method improves the efficiency of obtaining the zero-position calibration result of the steering angle sensor.

The application discloses a calibration device and a calibration method thereof, and relates to the technical field of calibration devices, and specifically discloses the following technical scheme: a temperature and humidity control box is used for maintaining preset temperature and humidity conditions; a calibration unit is located in the temperature and humidity control box and comprises a biomimetic material layer and a waterproof and breathable film, the biomimetic material layer is used for providing a stable moisture reference, the waterproof and breathable film is covered on the biomimetic material layer to form a calibration reference interface and is used for establishing a stable water vapor pressure gradient; a controllable linear motion unit is arranged in the temperature and humidity control box and can drive a probe to move in a vertical direction; a fixed adjustment unit is connected with the controllable linear motion unit and is used for fixing the probe and adjusting an attitude angle of the probe; and a pressure control unit is used for controlling contact pressure between the probe and the calibration reference interface of the calibration unit. The application constructs a simulated skin interface through the biomimetic material layer and the waterproof and breathable film, realizes complete metrological traceability, unifies calibration conditions and actual measurement conditions, and improves repeatability and reproducibility of calibration results.

This invention relates to a dynamic calibration device and method for minute forces based on magnetic loading, belonging to the technical field of calibration for force and torque measuring devices. It addresses the shortcomings of existing calibration methods for friction torque testers, such as insufficient calibration techniques, low stability under minute force loading, and difficulty in achieving multi-point calibration. This invention utilizes a calibration balance, a minute force loading mechanism, and an installation positioning mechanism to dynamically calibrate minute forces by balancing the torque generated by magnetic loading with the torque generated by weights and the lever arm of the balance beam. Multi-point calibration results are obtained by changing the weights in the tray or adjusting the loading position of the permanent magnet. This invention is applicable to the calibration of friction torque testers.

The application discloses a kind of installation calibration method, device, terminal equipment and computer medium of laser radar, comprising: control laser radar scanning device according to the scanning parameter of pre-set and the scanning is carried out to the intelligent robot around to obtain each positive orientation of the intelligent robot each corresponding each radar scanning data, wherein the scanning parameter contains scanning times and scanning range;Each target straight line is obtained based on each radar scanning data each corresponding each positive orientation, and each calibration angle value is determined based on each target straight line;The installation calibration result of the laser radar scanning device is determined based on each calibration angle value, pre-set standard mean threshold and pre-set standard deviation threshold.The present application achieves the technical effect that laser radar scanning device scans the multiple edges of calibration fixture to complete the installation calibration of laser radar scanning device, and improves the accuracy of calibration result.

This application relates to the field of flowmeter calibration technology, specifically providing a flowmeter calibration method for an ultrasonic water meter calibration device, aiming to solve the technical problem that existing solutions cannot achieve online testing of the flowmeter in ultrasonic water meter calibration devices. To this end, the flowmeter calibration method for the ultrasonic water meter calibration device of this application includes: setting a flow point to be calibrated and controlling the flow output component to output a stable water flow corresponding to the flow point to be calibrated; acquiring multiple instantaneous flow values ​​and a flow reference value of the flowmeter under stable water flow; determining the calibration result of the flow point to be calibrated based on the multiple instantaneous flow values ​​and the flow reference value; traversing all flow points to be calibrated to complete the calibration; and determining the overall calibration result of the flowmeter based on the calibration results of all flow points to be calibrated. In this way, periodic online calibration of the flowmeter in the ultrasonic water meter calibration device is achieved, improving the calibration efficiency of the flowmeter.

The present application relates to the technical field of metrology automation calibration and testing, and provides an automatic metrology calibration data processing method, device, equipment, storage medium and program product, comprising: acquiring sampling parameters, and starting real-time monitoring of environmental influence quantity information; controlling a metrology standard device and a measured device to perform independent repeated observation according to the sampling parameters, so as to collect a measurement data sequence; associating each measurement data in the measurement data sequence with corresponding sampling time information and the monitored environmental influence quantity information, so as to generate a measurement data original record; and calculating a calibration result according to the measurement data original record, and automatically evaluating uncertainty. The present application realizes fine management and control of measurement whole-process data and automatic evaluation of uncertainty by establishing one-to-one corresponding association records of the measurement data of independent repeated observation and real-time environmental influence quantity and time information, and has the advantages of high calibration efficiency, complete data traceability chain and objective and accurate results.

The application belongs to the technical field of data processing, and discloses a camera calibration method, device, equipment and storage medium; the method comprises the following steps: initializing a camera model to obtain an initial camera model, and inputting a calibration board image sequence of the camera model into the initial camera model; screening the calibration board image sequence through the initial camera model to obtain a reference frame image and a residual image; obtaining an initial calibration result of the current initial camera model according to the reference frame image, screening the residual image according to the initial calibration result to obtain a candidate image set corresponding to the initial camera model; determining a target image set from the candidate image sets corresponding to multiple initial camera models according to a preset evaluation function, and obtaining a calibration result of the camera model according to the target image set; the application adaptively selects a reference image from the calibration board image sequence, evaluates the angle difference of the reference image to obtain an optimal image set, optimizes the camera model based on the optimal image set, and obtains a more accurate calibration result.

This invention discloses a method for extrinsic parameter calibration between a camera and a lidar based on the vanishing point method, comprising the following steps: S1, acquiring an optical image of a target reference object using a camera, and acquiring laser point cloud data of the target reference object using a lidar; S2, determining the principal point and focal length of the camera based on the optical image; S3, processing the laser point cloud data based on the determined principal point and focal length of the camera to obtain a lidar projection image; S4, calibrating the extrinsic parameters between the camera and the lidar using the vanishing points of the optical image and the lidar projection image, and obtaining the extrinsic parameter calibration results; S5, further optimizing the camera's principal point, focal length, and extrinsic parameter calibration results using an iterative optimization method to obtain optimized extrinsic parameter calibration results. This invention utilizes vanishing points to solve the extrinsic parameter calibration problem between a camera and a lidar in scenarios without a calibration board, improving the efficiency and accuracy of extrinsic parameter calibration between lidar and camera.

This invention proposes an online gyroscope zero-drift calibration method, apparatus, and readable storage medium based on the steady-state of the position loop of a servo system. The method is applied to a servo system containing position and velocity closed loops. The position closed loop is set to a pure proportional (P) control mode. The servo system is controlled to move from a first motion direction and an opposite second motion direction to the same position reference point, reaching first and second steady-state states respectively in P control mode. The first and second steady-state position deviations are acquired and recorded. Finally, the first and second steady-state position deviations are averaged, and the gyroscope zero-drift value is determined based on the average deviation value and the proportional gain of the position loop. This invention utilizes a bidirectional approximation averaging method, mathematically eliminating the interference of static friction of the servo system on the calibration results. It achieves online, high-precision, and interference-resistant gyroscope zero-drift calibration without external equipment and provides a closed-loop verification mechanism.

The application discloses a hilly terrain sugarcane agricultural machine multi-sensor online self-calibration method and system, comprising: S1, multi-source operation perception data acquisition; S2, multi-source perception consistency error model construction based on operation path feedback; S3, dynamic error discrimination based on path deviation characteristics; S4, internal and external parameter collaborative online updating; S5, path perception correction driven by calibration results; S6, online closed-loop iterative operation and safety control. Through the autonomous operation process of the hilly terrain sugarcane harvester, a multi-dimensional error model integrating geometry, path and operation state consistency is constructed, and feedback and multi-time scale dynamic discrimination are carried out based on operation path execution deviation, so that online perception and collaborative optimization updating of sensor parameter drift are realized without relying on artificial targets, the long-term accuracy and self-adaptive maintenance capability of multi-sensor calibration parameters in the hilly dynamic environment are improved, and the problem of decline of fusion perception quality caused by changes in the position and posture of the sensor and parameter drift is solved.

This invention provides a traceable uncertainty assessment method for dynamic wavelength calibration. First, it performs uncertainty source analysis based on Taylor series expansion, determining that the time-frequency relationship calibration uncertainty is mainly determined by the uncertainty of the local continuous time-frequency relationship. Then, it assesses the impact of peak location on uncertainty, the uncertainty of the standard interferogram, and the uncertainty of interference intensity under complex tuning conditions, quantifying the standard interferogram uncertainty and the measurement uncertainty generated by local normalized frequency interpolation. These are then combined to obtain the combined uncertainty of the normalized time-frequency relationship. Finally, the combined uncertainty of the normalized time-frequency relationship is multiplied by the free spectral range of the F-P interferometer to obtain the absolute uncertainty of the time-frequency relationship calibration. This invention enables the quantification and propagation analysis of each error component during nonparametric point-by-point calibration, establishing a systematic uncertainty assessment framework and providing a scientific basis for the reliability of the calibration results.

The present application relates to the technical field of dormitory health early warning, and discloses a student dormitory health monitoring and early warning system and method based on infrared temperature sensing, which comprises a sensing layer, a benchmark self-correction layer, a network layer, a platform layer and an application layer, and combines a mobile temperature calibration device, an array calibration control module and a data linkage processing module to realize unmanned automatic online calibration of an infrared thermal imaging sensor array; the method realizes deep linkage of calibration results, body temperature monitoring data and early warning algorithm parameters through a closed-loop process of calibration triggering, calibration execution, calibration curve generation, data linkage correction and monitoring and early warning, and solves the problems of long-term operation precision reduction of the sensor and monitoring interruption caused by manual intervention during calibration on the basis of retaining the core advantages of original system non-contact continuous monitoring and CUSUM algorithm trend early warning.

This invention relates to a fusion calibration method for 4D millimeter-wave radar and visible light camera suitable for environmental perception. It uses a triangular radar corner reflector to collect radar point cloud and camera image calibration data at different distances and angles. After preprocessing, 3D-2D corresponding data pairs are constructed, and a region-constrained optimization framework is built. Using a region matching loss function as the error metric, the radar-camera extrinsic parameters, camera intrinsic parameters, and distortion parameters are optimized in stages to obtain a static benchmark calibration parameter set. Temporal synchronous data of different types of environmental features are collected, and supervisory labels are generated through spatiotemporal alignment and frame-by-frame parameter correction to train the calibration network model. The model is deployed to a computing platform, and dynamic calibration parameters are output in real time for parameter updates. This invention significantly improves the accuracy and stability of calibration results, achieving the dual effects of reducing computational power and increasing efficiency while reducing noise and maintaining accuracy, and greatly enhancing the model's generalization ability in real-world complex road scenarios.

This invention provides a calibration method for metrological data, relating to the field of metrological calibration technology, comprising the following steps: S1: Constructing a multi-dimensional data acquisition system to obtain multi-dimensional data information; and preprocessing the acquired multi-dimensional data; S2: Performing quality assessment and reliability analysis on the preprocessed data, and calculating adaptive weights for each dimension; S3: Using a weighted fusion algorithm, combining the calibration results of each dimension to perform multi-dimensional fusion calibration; S4: Constructing a machine learning-based prediction model to perform predictive calibration on the data after multi-dimensional fusion calibration; S5: Verifying the calibration results through mutual measurement using a quantum benchmark, and optimizing the prediction model parameters by combining historical calibration data; This invention improves data quality, calibration accuracy, and reliability through the multi-dimensional data quality assessment and adaptive weight calculation in step S2.

This invention provides a joint calibration method and system for radar-panoramic cameras based on engineered coordinate transformation and robust homography estimation. The method includes: performing unit conversion and engineered coordinate transformation on the radar polar coordinates to obtain radar planar coordinates; establishing a periodic mapping relationship between the radar azimuth angle and the pixel coordinates of the panoramic image; constructing a set of corresponding points between the radar planar coordinates and the pixel coordinates of the panoramic image based on the radar planar coordinates and the periodic mapping relationship; obtaining initial values ​​for the homography matrix based on the corresponding point sets; introducing a heading offset parameter based on the initial values ​​of the homography matrix, and using RANSAC robust estimation to jointly optimize the heading offset parameter and the homography matrix to obtain the final calibration results for the homography matrix and heading offset parameter. This invention maintains cross-boundary geometric continuity under the conditions of a 360° horizontal field of view and the presence of stitching bands, and significantly improves the calibration robustness and reproducibility in polar regions and wide scenes by robustly suppressing outliers through statistical methods.

The application belongs to the field of gene sequencing, and discloses a microdroplet digital PCR absolute calibration method for mixed standard substances for high-throughput sequencer calibration and application thereof. The method comprises the following steps: providing N sets of primer probes for N targets in the standard substance; full background specificity verification: for the i th set of primer probes, it is necessary to prove that it can specifically detect the i th target, and prove that it has no specific detection signal in the mixed DNA sample composed of the remaining N-1 targets; only using all the primer probes verified in S2, performing parallel digital PCR detection on the standard substance sample; and calculating the absolute copy number concentration of each target according to the detection result. The method ensures the quantitative "purity" of each target in a complex mixed background, provides guarantee for high-confidence calibration results from the process design, and improves the throughput and efficiency of multi-target detection.

The application provides a hand-eye calibration method and device, electronic equipment and storage medium. The method comprises the following steps: determining image coordinates of a plurality of feature points in a calibration board in an image captured by a camera; for each feature point, after aligning a tool center point of a mechanical arm to the feature point through a sensor, acquiring a mechanical coordinate of the tool center point; and then determining a coordinate conversion matrix according to the image coordinates and the mechanical coordinates of the plurality of feature points, so as to complete hand-eye calibration of a robot. The hand-eye calibration method provided by the application aligns the feature points and the tool center point through the sensor in the calibration process, and compared with the manual alignment of the tool center point and the feature point, the error in the calibration process can be significantly reduced, and the accuracy of the calibration result is improved.

This invention discloses a method for measuring the diffraction efficiency of a grating based on a partitioned grating reflector, comprising: a laser source, a collimating mirror, a plane mirror, a partitioned grating reflector, a beam splitter cube, an electric turntable, a lateral displacement stage, a screen, a first photodetector, and a second photodetector. The electric turntable supports the plane mirror and the partitioned grating reflector; the lateral displacement stage supports the laser source, the beam splitter cube, the screen, the first photodetector, and the second photodetector. First, the plane mirror is used to perform a coarse vertical calibration of the laser incident direction. Then, the partitioned grating reflector is installed, and a fine calibration is achieved through the reflection zone, calibrating the position of the reflected light spot. Based on this, the laser source is moved so that the incident light illuminates the grating under test, aligning the position of the zero-order diffraction spot with the calibrated reflected light spot position, thus achieving effective alignment. Consistency verification of the measurement process is achieved through multiple comparisons of the calibration results.

This invention discloses an adaptive cable winding detection method, applicable to a detection environment consisting of a linear red laser, a laser rangefinder, a filter, an industrial camera, and an industrial control computer. The method includes: 1. calibrating the image acquired by the industrial camera; 2. performing real-time analysis of the pixel data of the cable under test acquired by the industrial camera, calculating the vertical coordinate difference of the pixels; 3. applying the calibration results to calculate the actual vertical coordinate difference of the cable under test; and 4. calculating the required offset adjustment of the motor of the cable under test. This invention has a simple structure and is easy to operate. It can detect and predict the winding of cables in real time, update the cable winding offset direction in real time, and improve the problem of excessively large or small intervals during cable winding, thereby improving the efficiency of cable winding.

This invention discloses an atomic fluorescence spectrometer and an automated sample measurement system, belonging to the field of atomic fluorescence spectrometer technology. This invention effectively ensures stable instrument operation and efficient atomization reactions through a comprehensive self-checking mechanism combined with adaptive matching of different analyte types and detection modes. Simultaneously, through precise cup positioning, automatic sample sequence configuration, and orderly scheduling of the detection process, coupled with reference light baseline correction, multi-level blank measurement, and standard curve fitting to establish quantitative correlations, it fully covers the entire detection chain from automatic sample introduction, signal acquisition, signal optimization processing to concentration calculation and correction, effectively improving the accuracy and repeatability of sample measurement results. It achieves fully automated operation of the entire process—including power-on self-check, parameter matching, automatic measurement, data calibration, result calculation, and standardized report generation—without extensive manual intervention, adapting to the needs of multi-element, multi-wavelength simultaneous detection and improving the intelligence, standardization, and automation level of atomic fluorescence detection.

This invention discloses an automatic calibration method, apparatus, storage medium, and electronic device for vehicle air conditioning. The method includes: collecting at least one set of initial operating parameters of the target vehicle; inputting the at least one set of initial operating parameters into a target calibration model to obtain parameters to be evaluated; performing a thermal comfort evaluation on the parameters to be evaluated based on thermal comfort evaluation indicators to obtain a thermal comfort evaluation result; and determining the target calibration result of the vehicle air conditioning system in response to the thermal comfort evaluation result conforming to the thermal comfort standard value of the vehicle air conditioning system. This invention solves the technical problems of high calibration costs and inaccurate calibration results caused by experimental calibration of air conditioning systems using actual vehicles in related technologies.

The application provides a device alignment method for testing camera assembly performance and an electronic device, and relates to the technical field of automatic alignment. For any alignment object, the method receives that a calibration fixture drives a calibration camera to rotate N times in a horizontal direction, and N shooting images are obtained by the calibration camera shooting the alignment object after each rotation. The coordinates of the geometric center of the alignment object in each shooting image are determined. The position of the geometric center of the alignment object is determined according to the coordinates of the geometric center of the alignment object in each shooting image. In the above process, the position of the geometric center of the alignment object is obtained based on an algorithm, and the calibration result of "three points and one position" is not affected by environmental factors, the calibration result is accurate and reliable, and the production efficiency of the camera assembly is improved.

This application discloses a block coordinate descent joint spatiotemporal calibration method and system, belonging to the field of sensor fusion and calibration technology. The method involves acquiring camera image sequences and inertial measurement unit (IMU) data; performing a first-stage coarse temporal alignment, estimating the temporal mapping parameters between the camera and IMU based on the camera image sequences and IMU data; performing a second-stage spatiotemporal joint optimization, jointly optimizing spatial extrinsic parameters, camera intrinsic parameters, and IMU data under the constraints of the temporal mapping parameters; iterating alternately between the first-stage coarse temporal alignment and the second-stage spatiotemporal joint optimization until a preset convergence condition is met; and outputting calibration results, including spatial extrinsic parameters, temporal mapping parameters, a noise model, and a calibration quality report. The method employs an alternating strategy of first performing coarse temporal alignment and then optimizing spatial extrinsic parameters, significantly improving the algorithm's convergence stability and calibration reliability.

A calibration method for torque distribution in a rear-wheel-drive DHT parallel mode is disclosed, belonging to the field of automotive automatic transmission control. The method is as follows: data preparation; determining and discretizing the powertrain operating data table; selecting the optimal torque distribution scheme; generating a calibration data table; writing the calibration results into the control strategy; using simulation software, inputting specified vehicle data, and equipping the vehicle with the corresponding engine and rear-wheel-drive DHT, evaluating the torque distribution portion of the control strategy in the DHT parallel mode through simulation analysis. If the simulation results show that the power and economy meet the design goals, the calibration data for the torque distribution in the DHT parallel mode of the control strategy is qualified; otherwise, it is unqualified. This invention effectively avoids the situation where simply considering engine efficiency leads to low efficiency of the motor, battery, and transmission system, resulting in low efficiency of the entire DHT powertrain system, thus effectively improving the power and economy of vehicles equipped with DHT.