22 results about "Driving cycle" patented technology

This application provides a stepper motor driving device, method, and system, relating to the field of equipment control technology. The device includes: a first signal generation module for generating a first SPWM signal and a second SPWM signal; wherein the first SPWM signal and the second SPWM signal have the same waveform but are time-staggered by half a carrier cycle; and a first current control module for applying the first SPWM signal and the second SPWM signal to the upper bridge arm switches on both sides of a first H-bridge driving circuit, respectively, to control the magnitude and direction of the first driving current. This application, by staggering the SPWM control signals on both sides of the same H-bridge by half a cycle, naturally divides the H-bridge behavior into two driving segments and two slow decay modes within a driving cycle, effectively avoiding reverse current during the driving process, reducing operating noise, and improving driving efficiency.

The application relates to the technical field of driving behavior analysis, and particularly provides a multi-resolution driving working condition identification and classification method. A plurality of time length sliding windows are set to perform multi-scale division on a multi-channel driving time sequence data stream, and a multi-resolution analysis system is constructed; longitudinal driving working conditions are identified and classified according to a yaw angular velocity energy index; a dynamic time warping algorithm is used to match data segments with transverse working condition templates, so that the identification and classification of the transverse driving working conditions are realized; and key driving events are calibrated, thereby providing fine data support for subsequent driving style analysis. The application combines the multi-scale sliding window and time sequence similarity measurement technology, effectively improves the driving working condition identification precision, and significantly reduces the misjudgment rate in complex scenes.

This invention relates to the field of pipe blockage detection technology and discloses a pipe blockage detection method for a squeeze-type fluid conveying device, comprising: acquiring at least one response parameter associated with the load state of the squeeze actuator during each squeeze drive cycle; comparing the response parameter with a pre-established normal response model of the squeeze-fluid system; and determining that the fluid pipeline is blocked and triggering a blockage response when the response parameter continuously deviates from the normal response model and meets a preset continuous judgment condition during multiple consecutive squeeze drive cycles. This invention effectively overcomes the problem of strong detection lag in existing technologies by establishing a real-time correlation mechanism between the squeeze action and the pressure change inside the pipe, synchronously acquiring and analyzing pressure signals in each squeeze cycle, thereby achieving dynamic and real-time monitoring of the pipeline status.

The system creates a logbook for each user profile out of a multitude of user profiles, based on a variety of travel patterns, vehicle type driving cycle information, and load information, resulting in a multitude of logbooks. Based on these logbooks, the system generates a multitude of load profiles for each vehicle component of the vehicle type and determines a load parameter distribution. This distribution is used to update vehicle information. For example, the distribution can be used to reconcile or verify a design parameter, a test parameter, a maintenance parameter, or a warranty parameter.

This invention relates to the field of automotive performance testing and autonomous driving virtual simulation technology, specifically a method and system for generating continuous vehicle driving conditions based on GIS road networks and data-driven Markov chains. The method includes four main steps: S1, road topology map construction and OD route planning based on GIS big data; S2, random traffic breakpoint simulation based on a probability distribution model; S3, kinematic envelope construction based on bidirectional physical propagation; and S4, data-driven Markov velocity generation with forward aiming. By constructing a smooth envelope that absolutely conforms to the vehicle's kinematic limits through a unique bidirectional physical propagation algorithm, the abnormal problems of velocity steps and acceleration / deceleration exceeding physical limits in the random generation process of traditional Markov chains are completely solved. The generated driving conditions can be directly used for simulation testing without manual correction.

This application discloses a method, apparatus, storage medium, and electronic device for determining driving style. The method includes acquiring a set of driving description information for a current driving object within a first driving cycle, wherein the driving description information set indicates multiple driving decision behaviors of the current driving object within the first driving cycle; inputting the driving description information set into a driving style classification model to obtain a first driving style label for the current driving object; acquiring second driving style labels corresponding to at least one reference driving object, wherein the at least one reference driving object is located within a road range associated with the current driving object; and determining a target driving style label for the current driving object based on the first driving style label and at least one second driving style label. This application solves the technical problem of inaccurate driving style labels for driving objects in related technologies.

The application provides a gas quality identification and compensation method and device, a storage medium and an electronic device. The method comprises the following steps: obtaining a gas air-fuel ratio closed loop coefficient of a vehicle; determining a current gas quality of the vehicle according to a numerical relationship between the gas air-fuel ratio closed loop coefficient and a gas air-fuel ratio threshold value, wherein the current gas quality comprises a first type of quality and a second type of quality; in the case that a change of the current gas quality is detected, calculating a quality deviation of the vehicle, wherein the quality deviation represents an air-fuel ratio closed loop coefficient deviation between the second type of quality and the first type of quality; and updating a gas self-learning table of the vehicle by using the quality deviation to obtain an updated gas self-learning table of a current driving cycle, wherein the updated gas self-learning table of the current driving cycle is used to correct the gas air-fuel ratio of the vehicle. The application solves the problem that the existing gas closed loop control scheme cannot solve the poor engine performance caused by the change of the gas quality.

The present disclosure relates to data-driven systems and methods for generating daily diaries of vehicle usage for durability and reliability assessment. The system generates a trip diary for each of a plurality of user profiles based on a plurality of trip patterns, driving cycle information, and charging information for a vehicle type to produce a plurality of trip diaries. The system generates a plurality of load histories for vehicle components corresponding to the vehicle type based on the plurality of trip diaries and determines a distribution of load parameters. The distribution is used to update vehicle information. For example, the distribution can be used to adjust or validate, for example, design parameters, test parameters, maintenance parameters, or warranty parameters.

The present invention provides an engine oil emulsification and deposition suppression device that can prevent engine oil from mixing with condensation water and emulsifying and accumulating inside the chain cover. [Solution] In an environment where the ambient temperature is below a predetermined temperature, the HEV-CU80 counts the number of driving cycles in which, after starting the engine 10 and before stopping the engine 10, the engine oil temperature does not rise above a predetermined temperature, or the engine oil temperature rises above a predetermined temperature but this state does not continue for a predetermined time or longer. When the count value of the driving cycles reaches a predetermined number of times, the electric motor 21 is reversed to motor the engine 10 in reverse.

Fluid formulations, including low traction fluid, low viscosity motor fluid and high pressure viscosity coefficient fluid formulations, that may be used in vehicle drive trains are described herein. The fluid formulations include a base oil and an additive. The fluid formulations can increase efficiency, reduce friction, and extend drive cycles associated with vehicle drive units.

Carnot battery with simplified charging cycle by an ejector ensuring cold production. The invention relates to a Carnot battery comprising a drive cycle for converting thermal energy into electricity and a simplified ejector-equipped refrigeration cycle (SERS) comprising a working fluid circulation refrigeration circuit comprising three branches arranged in parallel: a drive branch and a refrigeration branch, and a mixing branch on which is arranged an ejector for ensuring the mixing of the working fluid from the drive branch and the working fluid from the refrigeration branch, and the battery comprising a thermal energy storage module comprising a fluid for storing cold thermal energy and forming the source to be cooled for the refrigeration branch.The storage module is thermally connected to the condenser of the engine cycle, ensuring the transfer of cold thermal energy from the fluid stored in the energy storage module to the engine cycle. Figure for the abbreviation: Fig. 1,

This invention relates to the field of automotive energy-saving technology, and provides a vehicle fuel consumption assessment method, system, electronic device, and storage medium. The method includes: in response to a target vehicle's actual fuel consumption exceeding a preset fuel consumption in a single driving cycle, acquiring the target vehicle's operating parameters; and assessing the causes of the target vehicle's fuel consumption based on the operating parameters and pre-defined operating parameter standards to obtain a fuel consumption assessment result.

This invention relates to the field of vehicle technology, and more particularly to a method, device, and vehicle for handling clutch position sensor failure. By acquiring the actual maximum clutch disengagement value when the actual energy mode of the current driving cycle is first in pure electric mode, the corresponding maximum clutch disengagement value in pure electric mode when the vehicle is in a non-first pure electric mode of the current driving cycle, and the clutch disengagement value from the previous self-learning, the target clutch position after a clutch position sensor failure is reported is calculated, and disengagement is performed based on this target position. Forced pure electric mode ensures safety for the current driving cycle. After self-learning is completed, the clutch position sensor failure is cleared. This method enables dynamic adjustment of the clutch position after a clutch position sensor failure, ensuring driving safety.

A calibration method for calculating the heat generation of friction plates in automatic transmissions belongs to the field of automatic transmission technology. The method includes: test system setup and preparation; simulated driving cycle testing; synchronous acquisition of key data; for each shift event, using the actual temperature data measured by a temperature sensor as the baseline, and combining known thermal characteristic parameters of the transmission assembly, the actual heat generation is calculated using the heat balance equation in engineering thermodynamics; model parameter comparison and optimization; and verification of calibration results. This invention solves the problem of temperature estimation deviation caused by existing models where parameters are based on theoretical derivation or simplified experiments and do not fully adapt to the complex factors of real-world operating conditions. It avoids transmission failures caused by underestimation and prevents losses in vehicle power performance and driving smoothness caused by overestimation, significantly improving the accuracy and reliability of automatic transmission thermal management.

The invention relates to a method for determining a rolling resistance coefficient (µ). Roll ) in a motor vehicle (1), wherein the rolling resistance coefficient (µ) Roll ) is calculated during a driving cycle of the motor vehicle (1) and only when a driving condition exists in which a speed (v Fzg ) of the motor vehicle (1) is greater than zero and below a predetermined limit speed (v Grenz ). The calculation of the rolling resistance coefficient (µ) Roll ) is determined based on a calculated driving force (F Antr ) and a determined driving resistance of the motor vehicle (1). The calculation of the rolling resistance coefficient (µ) Roll The required driving condition is only recognized as present if the motor vehicle (1) is traveling between zero and the limit speed (v Grenz ) lying velocity (v Fzg) additionally, a movement is performed at least largely without acceleration.

The application provides a method, device, program product and vehicle for providing a single-pedal mode, wherein a plurality of single-pedal control modes are preset in the vehicle, and in different control modes, the change of the opening degree of the accelerator pedal has different corresponding relationships with the change of the torque of the vehicle. The method comprises: determining the driving habit of the user in the single-pedal mode, including: the speed of the accelerator pedal being stepped down during the starting process; the speed of the accelerator pedal being released during the deceleration process; and the number of times of the brake pedal being intervened in a predetermined number of driving cycles; selecting a corresponding single-pedal control mode from the plurality of single-pedal control modes according to the corresponding relationship between the predetermined driving habit and the single-pedal control mode, and prompting and / or recommending the user. By using the above technical scheme, the user can be provided with a suitable single-pedal control mode according to the driving habit of the user, so as to improve the energy recovery efficiency while ensuring the driving safety.

The application relates to the technical field of fuel vehicles, and discloses a stratification identification method and device of mixed fuel, an electronic device and a vehicle, the method comprising the following steps: for a first driving cycle, if the fuel level in a time period from the end time of a second driving cycle to the start time of the first driving cycle does not change, the current fuel temperature is obtained; when the current fuel temperature is less than or equal to a temperature threshold, a first real-time value and a first reference value are obtained; the first real-time value is a mixed gas deviation correction value of a current operating point of an engine, and the first reference value is a mixed gas deviation correction value corresponding to the end time of the second driving cycle; when it is determined that the mixed fuel is stratified according to the first real-time value and the first reference value, the ethanol concentration in the mixed fuel is determined according to an actual air-fuel ratio output by an oxygen sensor. The application can accurately identify the stratification of the mixed fuel and accurately identify the ethanol concentration.

The system generates a travel diary for each user profile of a plurality of user profiles based on a plurality of travel patterns, drive cycle information of a vehicle type, and charging information to result in a plurality of travel diaries. The system generates a plurality of load histories corresponding to a vehicle component of the vehicle type based on the plurality of travel diaries, and determines a distribution of a load parameter. The distribution is used to update vehicle information. For example, the distribution may be used to tune or verify a design parameter, a testing parameter, a service parameter, or a warranty parameter, for example.

Vehicle (10) comprising the following: a traction battery (14); at least one electric machine (16); a variable voltage converter (60) which is configured to vary a voltage between the traction battery (14) and the electric machine (16), wherein an output side of the variable voltage converter (60) is coupled to a high-voltage bus (36), and wherein the variable voltage converter (60) is set up to increase the voltage of the traction battery (14) for the high-voltage bus (36), a control device (12) that is configured to: to change the voltage between the traction battery (14) and the electric machine (16) based on a measured high-voltage bus signal of the high-voltage bus (36) of the traction battery (14); and In response to a notification that the measured high-voltage bus signal is faulty, the voltage between the traction battery (14) and the electric machine (16) is changed based on a substitute battery voltage signal so that the electric machine (16) remains operational for one driving cycle.

A computer-implemented method for determining emission values ​​of a motor vehicle at least partially powered by an internal combustion engine during real-world driving (Real Driving Emissions (RDE)), wherein trajectories characterizing the driving cycles of the motor vehicle are provided, and wherein a Gaussian process (GP) is provided which determines the emissions of the motor vehicle when driving through the respective trajectory supplied to it, depending on the trajectories supplied to it, and wherein the respective emission values ​​of the motor vehicle when driving through these supplied trajectories are determined by means of this GP, and wherein the emission values ​​in real-world driving are determined depending on these determined emission values, characterized in that the Training the GP from a GP parameterization is performed by optimizing a PAC Bayes bound (150) using a training dataset, a prior GP family, and an accuracy target.