265 results about "Driving cycle" patented technology

The invention relates to the technical field of driver behavior recognition, in particular to an intelligent behavior monitoring and recognition system for coping with a vehicle driver, which comprises a multi-mode driver data information module used for acquiring first driver multi-dimensional state information in a preset historical driving period, extracting and generating a first dangerous behavior feature set and a first dangerous response feature set according to the multi-dimensional state information of the driver; the environment information acquisition module is used for acquiring first driving environment interaction risk information in a preset historical driving period; a risk assessment model construction module; a real-time data evaluation module; according to the invention, the dangerous behavior of the driver is identified by combining the multi-dimensional state information of the driver with the environmental information, and the parameters of the dangerous behavior risk assessment model are continuously updated through the real-time data, so that the accuracy of monitoring and identifying the behavior of the vehicle driver is improved; meanwhile, high-risk behaviors can be obtained in advance, and the driving risk is prevented.

A vehicle fuel system according to the invention includes a fuel filler flap that blocks an opening of a fuel filler space to be openable and closable, a locking mechanism that regulates opening and closing operation of the fuel filler flap, and a detector that detects the opening and closing operation of the fuel filler flap. A controller is able to determine an operational state of the fuel filler flap multiple times within one driving cycle of a vehicle, which improves a frequency of diagnosing the operational state of the fuel filler flap and a stuck-closed state of the detector.

The invention discloses a plug-in hybrid power bus energy management system and method based on extremum search, and the method comprises the steps: initializing a management system, specifically, initializing a threshold parameter initial value; outer-layer extremum searching is carried out based on current input data to obtain global reference parameters, and the input data comprise current outer-layer reference parameters and complete driving period working condition data; performing inner-layer extremum search on the basis of the global reference parameter in combination with the driving condition of the current road section to obtain an adaptive threshold parameter of each road section; vehicle energy management, including mode switching, torque distribution, and battery management, is performed based on global reference parameters and / or adaptive threshold parameters in combination with real-time vehicle states. According to the method, the limitation of a traditional method based on a fixed parameter rule is overcome, meanwhile, low calculation requirements, high reliability and nearly optimal performance are achieved, and the deployment feasibility in large-scale mass production of vehicles is ensured.

An automotive diagnostic method aimed at focusing diagnostic data retrieval and analysis on a possible fault condition includes receiving vehicle data from a vehicle at a data acquisition and transfer device (DAT) and analyzing the vehicle data to identify a possible fault condition. A drive cycle associated with the identified possible fault condition is identified, and driving conditions are monitored to identify completion of the identified drive cycle. Upon completion of the identified drive cycle, vehicle data is analyzed to identify an abnormal monitor. Vehicle data is also analyzed to identify an abnormal value of In-Use Monitor Performance Ratio (IUMPR) associated with the abnormal monitor. When an abnormal value of IUMPR is identified, a likely diagnostic condition associated with the identified abnormal IUMPR is further identified.

The invention discloses a lithium battery charge state estimation method based on a grey Kalman filtering model. The method specifically comprises the following steps: establishing a recursive relational expression of lithium battery state-of-charge (soc) estimated values at previous and later moments according to a gray GM (1, 1) model; constructing a state space expression according to the recursive relational expression; establishing a grey Kalman filtering model according to the state space expression in combination with the Kalman principle; soc is extracted from a public lithium battery data set of the Wishball University to serve as input of a gray Kalman filtering model, and the state of charge is estimated; and performing precision evaluation on an estimation result. According to the method, the state of charge of the lithium battery is estimated in three different scenes, including different driving cycles, random hybrid driving cycles and different temperatures under the same driving cycle condition; the result shows that the grey Kalman filtering model provided by the invention has a better estimation and prediction effect.

The invention discloses a vehicle emission conformity online evaluation method and device, a storage medium, equipment and an evaluation method, and the method comprises the following steps: obtaining a remote monitoring data flow of a to-be-evaluated vehicle in a preset time period, carrying out the preprocessing of the remote monitoring data flow, and generating a valid data set; identifying and segmenting a plurality of independent driving cycles from the effective data set, and screening out the independent driving cycles with cold start characteristics and engine accumulated work not smaller than a preset cycle work threshold value as effective driving cycles; dividing the data of each effective driving cycle into a plurality of preset working condition partitions according to the operating characteristics; aiming at each preset working condition subarea, adopting a corresponding calculation model, and calculating a pollutant emission result of the target pollutant; and comparing the pollutant discharge result of the target pollutant in each subarea with a corresponding preset discharge limit value for judgment. By using the scheme of the invention, low-cost, large-scale and high-frequency emission supervision is realized.

A fastening tool comprises a driver member, a controller configured to control a supply of power from a power source to a motor and to initiate a drive cycle, a piston configured to travel between at least two positions in a compression cylinder, a drive assembly, a drive cylinder, and a valve assembly operatively connected with drive cylinder and the compression cylinder. The driver member is at least partially disposed within the drive cylinder for movement along a drive axis to drive a lead fastener into a workpiece. The piston is configured to engage with and open the valve assembly to release the buildup of air in the compression cylinder, due to the travel of the piston between the at least two positions in the compression cylinder, to the drive cylinder so as to move the driver member along the drive axis to drive the lead fastener into the workpiece.

The invention provides a vehicle speed correction method and device, equipment and a medium, and relates to the technical field of vehicle control, and the method comprises the steps: in a current driving period, obtaining a vehicle moving distance, a real-time vehicle speed and vehicle state data of a target vehicle in a first time period; if the real-time vehicle speed and the vehicle state data meet the configured correction triggering rule, the ratio of the vehicle moving distance to the duration of the first time period is determined as the calculated vehicle speed; according to the real-time vehicle speed and the calculated vehicle speed, the actual wheel rolling radius of the target vehicle in the first time period is calculated; and correcting the preset wheel rolling radius of the target vehicle by using the actual wheel rolling radius so as to correct the real-time vehicle speed of the target vehicle in the next driving period. According to the invention, an accurate real-time vehicle speed can still be obtained and vehicle speed interference to an intelligent driving assistance system can be reduced after a vehicle user replaces a tire with the size different from that of an original tire.

The invention relates to the technical field of Internet of Vehicles, in particular to a vehicle driving condition data acquisition method and device, equipment and a storage medium, and the method comprises the steps: obtaining a plurality of target driving segments included in a target driving period of a vehicle; classifying the target driving segment to obtain a plurality of segment types; based on the driving characteristic parameters of the driving segments included in each segment type, dividing the segment types to obtain a first segment set and a second segment set; extracting a first driving segment from the driving segments of each segment type in the first segment set, and extracting a second driving segment from the driving segments of each segment type in the second segment set; and combining the first driving segment and the second driving segment to obtain driving condition data of the vehicle in the target driving period. The driving condition of the vehicle in the whole target driving period can be accurately represented, and then an accurate simulation data basis is provided for durability evaluation of vehicle parts.

The present invention is a piezoelectric actuator drive method, a piezoelectric actuator drive circuit, and a piezoelectric actuator drive system capable of causing a piezoelectric element to vibrate in a maximum amplitude state. The piezoelectric actuator drive circuit includes: an obtainment unit that obtains operation information pertaining to operation of the piezoelectric element in a period that is a part of one cycle of a drive cycle in which the piezoelectric element is driven; and a control unit that performs feedback control of a drive parameter for driving the piezoelectric element based on the operation information.

The embodiment of the invention is suitable for the technical field of vehicles, and provides a control method of a rear oxygen sensor, a vehicle and a product, and the method comprises the steps that in the current driving cycle, starting and stopping information of an engine when a hybrid vehicle runs is obtained; determining start-stop working conditions of the engine based on the start-stop information; when the start-stop working condition is a frequent start-stop working condition, a heating voltage control strategy of the rear oxygen sensor is switched from a first strategy to a second strategy; when the rear oxygen sensor is in the same working scene, the heating voltage determined from the second strategy is greater than or equal to the heating voltage determined from the first strategy; and adjusting the heating voltage of the rear oxygen sensor based on a second strategy. By adopting the method, the failure rate of the oxygen sensor when the engine is frequently started and stopped can be reduced.

The invention discloses a method and device for calculating pressure after air filtration and a gas engine. The accuracy of pressure calculation after air filtration can be improved. The method for calculating the post-air-filtering pressure comprises the steps that at the starting node of a target driving cycle, the first pressure difference between the gas inlet pressure and the post-air-filtering pressure is obtained; in the driving process of the target driving cycle, a second pressure difference between the gas inlet pressure and the air-filtered pressure is obtained; based on the first pressure difference and the second pressure difference, a pressure difference change value is obtained; wherein the pressure difference change value comprises a difference value between the first pressure difference and the second pressure difference; and the pressure difference change value serves as the pressure after air filtering, and the absolute pressure after air filtering is obtained.

The invention relates to the technical field of vehicle control, in particular to an optimization method and system for an energy management strategy of a hybrid vehicle, and aims to determine a calibration working condition of an oil consumption test through vehicle type information of the hybrid vehicle, and perform a driving cycle test and collect vehicle operation data under the working condition. The calibration working condition is divided into a plurality of stages, the motor torque and the gear in each stage are used as control variables, the SOC of the battery is used as a state variable, and the control variables and the state variable are discretized to obtain a state transfer function; and constructing a cost function corresponding to each stage by taking the minimum fuel consumption as a target, taking the sum of the cost functions from the end stage to the starting stage as a target function, taking the minimum value of the target function, reversely calculating an optimal control variable and an accumulated cost function corresponding to each state variable from the end stage, and forming a query table. And a dynamic control switching threshold value is designed through an offline global optimal solution, so that the fuel consumption of the vehicle in each stage is close to a theoretical optimal value.

Procedures for controlling an electric vehicle, which include the following: Changing the operation of an electric vehicle in response to a predicted energy consumption value; characterized in that the method further comprises the following: Adjusting the predicted energy consumption in response to a standard deviation of fluctuations in past energy consumption values ​​(R); and Reducing a predicted remaining range (DTE) in a non-linear manner using the adjusted predicted energy consumption as a battery state of charge (BSOC, CSOC) decreases, where the predicted energy consumption value X is calculated using the following equation (1): X = μ+ z'* σ , where µ is the mean energy consumption value during a driving cycle, σ is the standard deviation of the energy consumption value during the driving cycle, and z' is a weighting factor of σ.

A method for optimising vehicle calibration parameters, including: providing a representative real world drive cycle to a physical unit under test; generating performance data for the physical unit under test as the physical unit under test traverses the drive cycle; uploading the performance data as training data to generate a digital twin of a system, sub-system or vehicle in which the physical unit under test is configured to be used; providing vehicle performance prediction data from the digital twin to a calibration optimiser; and optimising one or more vehicle calibration parameters using the calibration optimiser.

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 an adaptive rule energy management method and device of a hybrid logistics vehicle, wherein the method comprises the following steps: constructing a hybrid logistics vehicle model of a target hybrid logistics vehicle; determining a working mode rule and a plurality of adjustable threshold parameters of the target hybrid logistics vehicle based on the hybrid logistics vehicle model; in an outer layer control process, iteratively optimizing global benchmark rule threshold parameters in a whole driving cycle through a finite difference random approximation extreme value search algorithm, and dynamically adapting to periodic working condition changes of a route; and in an inner layer control process, separately fine-tuning parameters for each type of working condition through a pre-trained working condition clustering model, and accurately responding to real-time dynamic differences. Therefore, the problems in the prior art, such as the difficulty of fixed parameter rules in adapting to the periodic changes of the driving characteristics of a plug-in hybrid logistics vehicle, and the incapability of single route global parameter optimization in accurately responding to dynamic road conditions and environmental condition changes, are solved.

Predictive control techniques for an electrified powertrain of a hybrid electric vehicle (HEV) include maintaining a database of past measured operational parameters of an electrified powertrain during a plurality of past drive cycles of the HEV, monitoring and comparing measured operational parameters of the electrified powertrain during a current drive cycle of the HEV to the past measured operational parameters of the electrified powertrain stored in the database, predicting or estimating operational parameters of the electrified powertrain for a remainder of the current drive cycle of the HEV based on the comparison, and controlling the electrified powertrain during the remainder of the current drive cycle of the HEV based on the predicted / estimated operational parameters of the electrified powertrain including at least controlling recharging of a high voltage (HV) battery system to increase a fuel economy or operational efficiency of the electrified powertrain.

The invention discloses an unmanned express delivery vehicle control system and method based on operation state perception, and relates to the field of unmanned express delivery vehicle control systems. The method comprises the following steps: acquiring vehicle-mounted data in a driving period through a vehicle-mounted sensor array, performing time alignment and validity marking on the vehicle-mounted data to obtain a data quality label, constructing an evidence item set based on the data quality label, generating a sub-portrait label set according to the evidence item set, and displaying the sub-portrait label set in the driving period. And generating a portrait parameter set based on the sub-portrait label set through a preset priority rule and a persistence judgment strategy. Although the scheme has excellent performance in the aspects of improving system adaptability, safety, dynamic decision-making capability, reviewable performance and resource utilization efficiency, the problems of sensor faults, data loss, real-time data processing bottleneck, label interpretation errors and the like may influence the real-time response and decision-making precision of the system in a complex or extreme environment. Therefore, the overall performance and stability are reduced, especially under the condition of high load or low signal.

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.

The invention relates to a method for pattern recognition in a drive cycle. The method herein includes (a) selecting an indefinite number of samples from a plurality of sensor datasets, wherein each sensor dataset represents a drive cycle. (b) performing unsupervised pattern recognition within the indefinite number of samples to identify a pattern is then performed. (c) performing supervised pattern recognition in the remaining sensor datasets of the plurality of sensor datasets to re-recognize a pattern and (d) determining, for each sensor dataset of the plurality of sensor datasets, a correspondence of the sensor dataset to the pattern. In this case, steps (a) to (d) are repeated until each correspondence exceeds a correspondence threshold.

Provided is a stepping motor control device that prevents a terminal voltage of a battery from decreasing even when a plurality of motors are driven simultaneously at a high speed. The stepping motor control device includes: a control unit configured to control a driving unit that drives a plurality of motors including a first motor driven at a prescribed driving cycle, and a second motor driven at a driving cycle that is the same as or an integral multiple of the driving cycle of the first motor to drive the motors by outputting a driving pulse; and a storage unit configured to store a width of the first driving pulse and a width of the second driving pulse. When a sum of a pulse width of the first driving pulse and a pulse width of the second driving pulse is longer than the driving cycle of the first motor, in the driving cycle of the first motor, a part of the first driving pulse and at least a part of the second driving pulse are simultaneously output, and a pause period is provided, in which neither the first driving pulse nor the second driving pulse is output after the first driving pulse and the second driving pulse are output and before a start timing of a next driving cycle of the first motor.

This invention discloses an online evaluation method, apparatus, storage medium, and device for vehicle emission compliance. The evaluation method includes the following steps: acquiring remote monitoring data streams of the vehicle to be evaluated within a preset time period; preprocessing the remote monitoring data streams to generate a valid dataset; identifying and segmenting multiple independent driving cycles from the valid dataset, and selecting independent driving cycles with cold start characteristics and engine cumulative power not less than a preset cycle power threshold as valid driving cycles; dividing the data of each valid driving cycle into multiple preset operating condition zones according to operating characteristics; using a corresponding calculation model for each preset operating condition zone to calculate the pollutant emission results of the target pollutant; and comparing the pollutant emission results of the target pollutant in each zone with the corresponding preset emission limits for determination. This invention achieves low-cost, large-scale, and high-frequency emission supervision.

The utility model belongs to the technical field of whole motorcycle testing, and particularly relates to a front wheel clamping device for a motorcycle in a working condition method. Comprising a first guide rail and a second guide rail which are arranged at an interval, a front wheel clamping mechanism is arranged on the first guide rail and the second guide rail in a sliding mode, and a first linear driving piece is arranged between the first guide rail and the second guide rail and comprises a first telescopic part; the first telescopic part is connected with the front wheel clamping mechanism to drive the front wheel clamping mechanism to reciprocate along the first guide rail and the second guide rail; according to the utility model, the front wheel clamping mechanism and the tested motorcycle are driven by the first linear driving piece to move together, the movement is convenient, and the centering efficiency of the rear wheel and the chassis hub is improved.

The invention provides a battery thermal management control method, device and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining the vehicle state data of a vehicle in a current driving period, and uploading the vehicle state data to a cloud end, the vehicle state data at least comprises battery data, and the battery data at least comprises battery temperatures of the vehicle at different moments in the current driving period; the battery cooling temperature threshold value is updated according to the user driving style returned by the cloud and the highest battery temperature, so that a battery management system of the vehicle conducts battery heat management according to the updated battery cooling temperature threshold value; personalized customization of battery thermal management can be achieved, the adaptability and flexibility of a battery management system are improved, unnecessary energy consumption is avoided, the energy utilization efficiency is improved, and the calculation pressure of a vehicle-mounted system is effectively relieved.

The present application provides a display device and a driving method thereof, the driving method comprising: obtaining first odd-row data and first even-row data of a first screen to be displayed on the display device; processing one of the first odd-row data and the first even-row data according to a preset first set of brightness compensation data to obtain first screen data, and processing the other of the first odd-row data and the first even-row data according to a preset second set of brightness compensation data to obtain second screen data; displaying a first screen according to the first screen data during a first driving cycle; and displaying a second screen according to the second screen data during a second driving cycle following the first driving cycle; wherein the sum of the first driving cycle and the second driving cycle is equal to the driving cycle of the first screen to be displayed. The present application can improve the horizontal stripe problem that occurs when an existing display device maintains a high refresh rate characteristic.

The invention provides a catalytic converter diagnosis method and device and an engine control module. The method comprises the following steps: acquiring a plurality of diagnosis parameters in the current driving cycle; judging whether each diagnosis parameter meets a corresponding diagnosis activation condition or not; if it is judged that each diagnosis parameter meets the corresponding diagnosis activation condition, the catalytic converter is controlled to be heated to the target temperature within the set time period; and the catalytic converter is diagnosed. According to the catalytic converter temperature control method and device, the catalytic converter is controlled to be heated to the target temperature within the set time period before the catalytic converter is diagnosed, so that the temperature of the catalytic converter meets the diagnosis requirement, the efficiency of the catalytic converter is improved, and gaseous pollutants generated in the diagnosis process are reduced.

The invention relates to the technical field of vehicle power output optimization, and discloses a power data optimization method and device for a vehicle in multiple driving scenarios, and the method comprises the steps: predicting a power output power optimization value, a torque demand optimization value and an energy recovery time optimization value through a target neural network; and generating a loss function between the optimization value of any one of the above items and an actual value corresponding to the optimization value, and optimizing the power output power optimization value, the torque demand optimization value and the energy recovery time optimization value again in the driving period in the current driving scene through a global optimization algorithm and a local optimization algorithm. Therefore, the global optimization algorithm and the local optimization algorithm are adopted to optimize the prediction result output by the target neural network again, the power data prediction precision of the vehicle in the multi-driving scene is remarkably improved, and meanwhile it can be guaranteed that the driving system can execute actions in the optimal mode in the dynamic environment.

A fastener driving tool that uses pressurized gas to drive a piston that causes a driver blade to force a fastener into a workpiece, and then uses an induction coil to "lift" the piston (as an armature) back toward the top, pre-drive position. The pressurized gas is not vented to atmosphere, but is instead re-used for multiple drive cycles. An optional induction coil can have multiple stages. A more preferred induction coil includes multiple stages, in which some of those coil stages extend beyond the end stroke of the piston, past a "ready" position for that piston.

The application discloses an EGR control method and system for improving engine power and safety, which comprises the following steps: determining whether the EGR closed-loop enabling time condition is met according to the relationship between the time when the vehicle transmission system enters the parallel state from the series state and the preset time, the target EGR rate and the minimum EGR rate; wherein the preset time is updated in each driving cycle through a self-learning correction coefficient; if the EGR closed-loop enabling time condition is met, determining whether the EGR closed-loop enabling minimum EGR rate condition is met according to the target EGR rate and the minimum EGR rate; if the EGR closed-loop enabling minimum EGR rate condition is met, determining whether to enter the EGR closed-loop enabling, and performing the EGR closed-loop control after the EGR closed-loop enabling, and controlling the mixed valve and the EGR valve to make the actual EGR rate follow the target EGR rate based on the target EGR rate and the actual EGR rate. The application optimizes the EGR closed-loop enabling condition, and improves the engine power and the control stability.