84results about "Data processing management" patented technology

The invention provides a ramp energy-saving control method based on off-line speed planning and dual-mode model prediction tracking, and aims to solve the problems of insufficient precision of ramp driving energy consumption and safety cooperative control and frequent mode switching of an automatic driving vehicle. The method comprises the following steps: firstly, identifying a key road section based on high-precision road gradient data, and generating an optimal energy-saving reference speed matched with gradient characteristics in an off-line manner by adopting a dynamic planning and sequential quadratic planning hybrid optimization strategy; secondly, when the vehicle runs, relevant information is loaded after confirmation of a driver, the system takes over the longitudinal control right, two control modes are dynamically switched based on the front vehicle distance, and frequent mode switching is avoided through a hysteresis threshold value; and finally, taking the slope-fused vehicle longitudinal dynamics model as a prediction model, solving an optimal control instruction online by adopting a model prediction control algorithm, performing closed-loop execution, monitoring intervention operation of a driver, and immediately returning the driving right after the intervention operation is detected. According to the method, offline planning and online dual-mode tracking technologies are integrated, the method has the advantages of high energy consumption optimization precision, stable mode switching and good safety adaptability, and energy-saving and safe driving of the automatic driving vehicle in a ramp scene is realized.

The invention belongs to the technical field of vehicle control, and particularly relates to a high-speed scene automatic driving performance analysis method and system for a heavy-duty commercial vehicle, and the method comprises the steps: synchronously collecting the current positioning data, camera image data, vehicle bus signals and inertial navigation data of the heavy-duty commercial vehicle in an automatic driving process in a high-speed scene; generating a transverse track, a longitudinal track and an oil consumption time sequence data set which are in space-time alignment based on the collected data; a three-in-one evaluation system of transverse safety, longitudinal response and fuel economy is constructed by calculating transverse safety margin and lane centering stability in the step S2, calculating longitudinal response delay and aging deviation in the step S3 and fuel consumption deviation per hundred kilometers in the step S4. And each dimension is quantified through a clear formula, so that the evaluation result is traceable and reproducible, and the comprehensive performance of the automatic driving system in a high-speed scene is comprehensively reflected.

To provide a work vehicle capable of improving fuel economy by the control to switch modes between an economy mode and a standard mode at an appropriate timing, and capable of eliminating the troublesomeness of manually switching the modes between the standard mode and the economy mode.SOLUTION: A work vehicle 1 includes an engine 20, a first hydraulic pump 31, a second hydraulic pump 32, a travelling device 6, a work device 9, an operation device 5, an ECU 30, and a vehicle controller 7. The vehicle controller 7 transmits a control command in a standard mode to the ECU 30 when the travelling device 6 is stopped, discharge pressure from the second hydraulic pump 32 is a reference value U1 or more, and a first period T1 passes with an engine load factor of a predetermined upper limit E1 or more, transmits a control command in an economy mode to the ECU 30 when a second period T2 passes with the engine load factor of a predetermined lower limit or less, and transmits a control command in the standard mode to the ECU 30 when the travelling device 6 is actuated.SELECTED DRAWING: Figure 1

The application relates to the technical field of vehicles and discloses a driving behavior processing method, device and equipment and a storage medium, the method comprising the following steps: acquiring current driving data of a vehicle and current road data of a driving road of the vehicle; determining index data corresponding to each driving index according to the current driving data and the current road data; calculating index scores of the driving indexes according to the index data; when it is determined that a user has an abnormal driving behavior according to the index scores of the driving indexes, processing the abnormal driving behavior; in the above manner, the index scores of the driving indexes are calculated by using the index data, and it is determined whether the user has an abnormal driving behavior according to the index scores of the driving indexes; if yes, the abnormal driving behavior is processed, so that the accuracy of determining the abnormal driving behavior can be effectively improved, and the abnormal driving behavior can be processed in time, so that the driving safety is improved.

Method for operating a powertrain system comprising a multi-mode transmission designed to transmit torque between a power machine, torque machines and a final drive, the method comprising: Determining an objective function for a target component of interest; Identifying constraints for a plurality of independent and dependent variables; Evaluating a plurality of permutations of the objective function based on the independent variables and the dependent linear variables; Evaluate the objective function to determine maximum and minimum values ​​for the objective function for each of the permutations; Determining overall minimum and maximum values ​​for the objective function based on the maximum and minimum values ​​for the objective function for each of the permutations; and Controlling the operation of the powertrain system to which the target component of interest is assigned, based on the overall minimum and maximum values ​​for the objective function.

The present invention relates to a method for implementing an EV (electric vehicle) ecosystem and a device for performing such a method. The method for implementing an EV (electric vehicle) ecosystem includes the steps of: an EV ecosystem management device receiving EV eco-data from EV ecosystem participants; and the EV ecosystem management device managing the EV eco-system based on the EV eco-data.

Device for providing eco-driving information for a vehicle, comprising: a vehicle weight calculation unit (1) which is configured to calculate a current weight of the vehicle based on data received from a plurality of devices within the vehicle; a computing unit (3) for the electrical load, which is equipped to calculate an electrical load of auxiliary machines currently used in the vehicle; a vehicle speed calculation unit (5) configured to calculate, using a route map, a fuel-efficiency-oriented vehicle speed that maximizes the vehicle's travel distance according to the calculated vehicle weight and electrical load; and a display device (7) which is set up to display the calculated fuel efficiency-oriented vehicle speed to a user. where the weight of the vehicle is calculated from the electricity consumption of a vehicle drive motor, an air density, a drag coefficient, a projection area of ​​the vehicle, the vehicle speed, a coefficient of friction of a current road on which the vehicle is traveling, the acceleration due to gravity and an inclination of the current road on which the vehicle is traveling, where the weight of the vehicle is calculated using the following equation m = ( TF + 1 2 ρ air C d AV 2 ) / ( μ g cos θ+ g sin θ ) where m represents vehicle weight, TF represents a driving force, ρ air which represents air density, C da drag coefficient, A a projection area of ​​the vehicle, V the vehicle speed, µ a coefficient of friction of the current road, g the acceleration due to gravity of the vehicle, and θ the current inclination of the road, and The driving force is obtained from a relationship TF = P / V, where P represents the power input of the drive motor and V represents the vehicle speed. wherein the vehicle weight calculation unit (1), the electrical load calculation unit (3) and the vehicle speed calculation unit (5) are incorporated into a single chip and the route map comprising the vehicle weight, electrical load and vehicle speed is embedded in the chip.

This application provides a vehicle control method, device, vehicle, storage medium, and program product, relating to the field of vehicle technology. The method includes: acquiring vehicle information and, based on the vehicle information and a preset speed limit, determining whether to send a command to limit engine torque. The vehicle information includes the current engine speed and torque, vehicle speed prediction data, and torque prediction data. By analyzing the data of the above types of information, and reasonably limiting engine torque, the vehicle's fuel efficiency can be improved.

The invention discloses an oil-saving auxiliary driving system and method based on PCC, and belongs to the technical field of auxiliary driving, and the system comprises a data collection module which is used for obtaining the driving data, environment data and navigation data of a vehicle in real time; the background calculation module is in communication connection with the data acquisition module and is used for processing the acquired data; the user interaction module is in communication connection with the background calculation module and is used for presenting the fuel-saving driving suggestion and the fuel consumption evaluation information; and the vehicle economic driving scoring module calculates the economic score of each time of driving according to the actual fuel consumption condition and the suggested value of the vehicle, and performs ranking and reward in a certain period, so that the limitation problem that only single driving behavior data is concerned in the traditional technology is effectively solved, and meanwhile, the fuel-saving effect is improved.

Steering column lever control assembly (40) for influencing the speed of a motor vehicle (70), with a steering column lever (56) which is operable forwards, backwards, upwards and / or downwards in relation to the forward direction of travel (72) of the motor vehicle (70) to provide at least one functional control unit (30, 32, 60, 62), characterized by an adjustment device (10) for adjusting at least three assistance function units (12, 14, 16, 18) influencing the speed of a motor vehicle (70), which are selected from a speed-keeping assistance function unit (12), a predictive distance control assistance function unit (14), a speed limiting assistance function unit (16) and a hill-climbing assistance function unit (18), wherein the adjusting device (10) has a single switching control unit (22) arranged on the steering column lever (56) in a lower area of ​​the steering column lever (56) with respect to a vehicle vertical axis (74) for adjusting one of the at least three assistance function units (12, 14, 16, 18) influencing the speed of the motor vehicle (70), wherein the adjusting device (10) has a control unit (20) which is configured to monitor the actuation of the individual switching control unit (22) and to select an assistance function unit (12, 14, 16, 18) by actuation of the individual switching control unit (22).

The application provides an engine torque dynamic control method, and relates to the technical field of vehicle control, steps S1: judging whether the current system is in an automatic mode or a manual mode, if the system is in the manual mode, entering step S8, otherwise, entering step S2; step S2: judging whether the system is in an economic mode or a power mode, if the system is in the power mode, entering step S4; step S4: entering the power mode, using a power mode version throttle map curve, if the mode is switched back to the economic mode or the system is switched to the manual mode, entering step S9; step S5: judging the mode according to the slope and the load, including the following steps: step S6: entering an empty vehicle mode, the empty vehicle mode using an equal division throttle MAP curve; step S7: entering a high gear limit torque mode; step S8: entering a normal mode; and step S9: returning.The application improves fuel economy and solves the problem of the increase of fuel consumption caused by the excess engine capacity under some working conditions.

The application discloses a kind of adaptive cruise control method, system and equipment based on target driving mileage, the method includes: after entering navigation auxiliary driving mode is driven, target driving mileage information is determined, the current residual driving range information of vehicle is acquired in real time;According to target driving mileage information and current residual driving range information, determine energy-saving coefficient;According to energy-saving coefficient, the weight matrix in adaptive cruise LQR controller is dynamically selected by fuzzy controller;According to the expected acceleration of current time, according to the expected acceleration of current time, adaptive cruise control is carried out when energy-saving coefficient is in the preset threshold range.This application calculates energy-saving coefficient in real time according to target driving mileage information and current residual driving range information required by navigation, adjusts the following vehicle control mode of adaptive cruise system according to energy-saving coefficient, realizes the coordination of safety and economy of vehicle adaptive cruise system.

The invention discloses a vehicle control method, device and equipment based on energy regulation and control and a storage medium, relates to the technical field of vehicle energy management, and discloses the vehicle control method based on energy regulation and control. Comprising the following steps: acquiring an energy regulation and control function starting parameter, an energy regulation and control function starting condition, a function judgment parameter and a torque calculation parameter of a vehicle; whether the vehicle meets the starting condition or not is determined according to the energy regulation and control function starting parameters; when the vehicle meets the starting condition, a target function mode is determined according to the function judgment parameters; and when the target function mode is an energy-saving mode, the target torque of the vehicle is calculated according to the torque calculation parameters, and the vehicle is controlled to run according to the target torque. Intelligent regulation and control of vehicle energy are achieved, and the technical effect of optimizing energy utilization is achieved while the driving requirement is met.

The invention discloses an AMT upshift point calibration and calculation method and system, and the method comprises the steps: automatically generating a vehicle speed-fuel consumption rate curve of each gear under different accelerator opening degrees based on an engine universal characteristic curve, the accelerator opening degrees and vehicle gear speed ratio data; an intersection point of oil consumption curves of adjacent gears is solved, a point with the minimum sum of the fuel consumption rates of the two gears is found in a preset interval near the intersection point, and therefore the vehicle speed of an upshift point with the optimal economical efficiency is calibrated and converted into the rotating speed of an engine; traversing all accelerators and gears to form an economical upshift point engine tachometer taking the accelerator opening and the gear before upshift as indexes; when the vehicle runs, the correction coefficient is inquired according to the real-time ramp and accelerator parameters, dynamic fusion is conducted on the economical upshift point and the pre-calibrated dynamic upshift point through the weighted fusion algorithm, the final upshift point engine rotating speed is obtained, the calibration workload is greatly reduced, the economical efficiency and the dynamic performance of the whole vehicle are balanced, and the method is suitable for large-scale popularization and application. And the driving experience and the fuel economy are improved.

The invention relates to a gearbox intelligent gear shifting control method and device, control equipment and a storage medium, and belongs to the technical field of vehicle gearbox control. The gearbox intelligent gear shifting control method comprises the steps that a fuel consumption rate data atlas, a gearbox efficiency data atlas and a drive axle efficiency data atlas of a target vehicle under all gears are obtained; constructing a universal power chain oil consumption model based on the fuel consumption rate data atlas, the gearbox efficiency data atlas and the drive axle efficiency data atlas; the real-time gear, the real-time engine rotating speed and the real-time wheel side torque requirement of the target vehicle at the current moment are obtained, and a plurality of candidate gears are determined based on the real-time gear; and determining a plurality of fuel consumption amounts corresponding to the real-time engine rotating speed and the real-time hub torque demand under the plurality of candidate gears and the real-time gear based on a power chain fuel consumption universal model, and determining the gear corresponding to the minimum value in the plurality of fuel consumption amounts as the target gear of the next moment. The fuel economy of the vehicle is effectively improved.

The invention discloses an energy-saving driving method, device and equipment based on real-time load identification and a storage medium, and relates to the technical field of vehicle control, and the energy-saving driving method based on real-time load identification comprises the following steps: obtaining operation data of a vehicle in real time; inputting the operation data into a preset load identification model to obtain load information of the vehicle, the preset load identification model being obtained by training historical operation data and historical load information of the vehicle; and an energy-saving driving strategy containing power system control parameters is generated according to the load information, and the vehicle is controlled to conduct energy-saving driving according to the energy-saving driving strategy. The power energy consumption of vehicle driving can be reduced.

A computer-implemented method for management of a technical system, comprising the steps of: injecting randomized controlled signals in control decisions; ensuring that the injected randomized controlled signals occur within normal operational ranges and constraints; receiving sensor data from a plurality of sensors associated with the technical system in response to the injected randomized controlled signals; receiving electronic control unit data from a plurality of electronic control units in response to the injected randomized controlled signals; and parsing the sensor data and the electronic control unit data into system responses associated with the injected randomized controlled signals; computing confidence intervals relating to a causal relationship between system signals and a measured utility based on the injected randomized signals, the sensor data and the electronic control unit data; and selecting optimal signals for the control decisions based on the computed confidence intervals.

The invention relates to an intelligent drive system, method, apparatus and storage medium based on a SOA architecture. Raw datas output by various sensors are deserialized into SOA gateway datas through a sensor service layer (10); the control service layer (20) processes the SOA gateway data to obtain a basic control data; the coordination service layer (30) receives a control request data sent by an external domain controller and determines a vehicle auxiliary information according to the basic control data; the management service layer (40) arbitrates operating conditions of a vehicle according to the control request data, the basic control data and the vehicle auxiliary information; and the control service layer (20) obtains the operating conditions based on the coordination service layer (30) and controls the vehicle, thereby improving adaptation efficiency between the intelligent drive system and different vehicle models and reducing a secondary development cost.

A method is for calculating a management setpoint for the consumption of fuel and of electric current by a hybrid motor vehicle including at least one electric motor that is supplied with electric current by a traction battery and an internal combustion engine that runs on fuel. The method includes: dividing a journey into segments; acquiring attributes for each segment; for each segment, acquiring a relationship between the fuel and electrical consumption; determining an optimal consumption point in each acquired relationship to maximize discharging the traction battery over the segments for which use of the internal combustion engine is not authorized, minimize the fuel consumption of the hybrid motor vehicle over the entire journey, and maximize the discharging of the traction battery upon completion of the journey; and developing a setpoint for power management over the entire journey, according to the coordinates of the optimal points.

The present disclosure provides a shift control method applied to an AMT, comprising: obtaining a vehicle driving behavior score of a target vehicle; determining personalized shift control data matched with the vehicle driving behavior score according to the vehicle driving behavior score and pre-stored power shift control data and economic shift control data, so that the AMT of the target vehicle performs automatic shift control according to the personalized shift control data. The technical scheme of the present disclosure obtains the vehicle driving behavior score of the vehicle, which can quantify the power and economic demands of the vehicle, and then generates the personalized shift control data matched with the vehicle driving behavior score based on the existing power shift control data and economic shift control data, so that the AMT of the vehicle performs automatic shift control according to the personalized shift control data, so that the shift strategy of the vehicle is more matched with the driving habit of the driver, and the driving experience is improved.

The application relates to the technical field of vehicles and discloses a real-time vehicle speed recommendation method and device, electronic equipment and a storage medium. The method comprises the following steps: constructing a current parameter vector according to current vehicle related parameters, and constructing a historical time sequence vector corresponding to a current moment according to historical parameters corresponding to a corresponding historical moment in a historical period; inputting the current parameter vector into a target first model to obtain a first vehicle speed combination, and inputting the historical time sequence vector into a target second model to obtain a second vehicle speed combination; wherein the number of structure layers of the target first model is less than that of the target second model; and determining a current recommended vehicle speed interval according to the first vehicle speed combination and the second vehicle speed combination. The application can provide an accurate recommended vehicle speed interval for a driver, so as to optimize the driving behavior of the driver and reduce the energy consumption of vehicle driving.

The application relates to an automatic driving speed planning method, an electronic device, a vehicle and a storage medium. The method comprises the following steps: obtaining a predicted driving position of a neighboring vehicle of a self-vehicle in a specified time period, and obtaining a relative position relationship between the self-vehicle and the neighboring vehicle; obtaining a predicted limit position of the self-vehicle in the specified time period; wherein the predicted limit position corresponds to the relative position relationship, and the predicted limit position is one of a predicted maximum acceleration position and a predicted maximum deceleration position; judging whether the self-vehicle will collide with the neighboring vehicle according to the predicted limit position and the predicted driving position, and if yes, determining that speed planning of the self-vehicle fails. The scheme provided in the embodiment of the application can detect the speed planning failure of the self-vehicle in advance, thereby improving the automatic driving performance, for example, avoiding or reducing the overall delay of the automatic driving link caused by the speed planning failure.

A system comprises fuel consumption prediction circuitry and user interface circuitry. The fuel consumption prediction circuitry is operable to receive trip constraints for a trip to be made by a vehicle, and vehicle information for the vehicle. The fuel consumption prediction circuitry is operable to generate, based on the trip constraints and the vehicle information, a first trip option having a first predicted travel time and a first predicted fuel consumption, and a second trip option having a second predicted travel time and a second predicted fuel consumption. The fuel consumption prediction circuitry is operable to communicate the first trip option and the second trip option to user interface circuitry. The user interface circuitry is operable to receive the first trip option and the second trip option and present the options to a user.

The present application relates to a kind of hybrid system starting gear shifting method, system, equipment and medium, method includes the following steps: vehicle high pressure state, enter ready mode, driver operates shift handle and executes gear shifting operation, enter D gear.Vehicle starts and drives, through the real-time speed, torque of throttle opening, EM2 motor are collected and calculated, when the calculation data power meets the requirement, gear box inside does not execute gear shifting operation, EM2 motor drives, less friction pair is brought into operation, operating efficiency is high, and economy is good;When the calculation data needs to promote power, vehicle controller sends gear shifting instruction, gear box control unit executes gear shifting, EM1 motor intervenes drive, dual-motor drive is carried out at this time, and power performance is improved.The present application can effectively avoid the sound generated by synchronizer action during gear shifting by starting gear shifting strategy, and improve customer satisfaction;Gear shifting strategy under different modes is distinguished, and the efficiency of gear box can be more effectively utilized.

A CVT speed ratio optimization control method and system includes the following steps: Step 1) Using the current speed ratio of the vehicle as a benchmark, calculate the corresponding comprehensive efficiency based on the speed ratio under different search directions, compare the comprehensive efficiency under different search directions, and determine the optimal search direction; Step 2) In the optimal search direction, continue to adjust the current speed ratio according to different search step sizes, and calculate the corresponding comprehensive efficiency value respectively. The speed ratio corresponding to the maximum comprehensive efficiency value is the target optimized speed ratio; Step 3) Determine whether using the target optimized speed ratio affects the vehicle's backup driving force. If it does not affect it, control the current CVT speed ratio to become the target optimized speed ratio; if it does affect it, do not optimize the current speed ratio. This invention can improve the overall efficiency of the vehicle without complex offline calibration, improving energy economy while ensuring the user's driving experience.

The invention relates to a mode control method based on driving intention recognition, and the method comprises the following steps: carrying out the judgment of a large-power acceleration intention according to a preset triggering condition based on the obtained accelerator opening degree data, steering wheel angle data and road slope data; when it is judged that the intention is the high-power acceleration intention, a downshift operation executing request is sent to the AMT, meanwhile, a power mode switching request is sent to the engine controller, and the engine enters the power mode. According to the method, the driver is liberated from tedious mode switching by automatically identifying the high-power acceleration intention of the driver and actively switching the power mode, so that the driver can concentrate on the road condition, the safety risk caused by operation distraction is eliminated, the driving convenience and comfort are greatly improved, and the driving safety is improved. Through accurate scene recognition and automatic and timely recovery of the economic mode after acceleration is finished, the problem of long-term high oil consumption caused by the fact that a driver forgets to switch the mode is thoroughly solved.

A control device (100) mounted on a vehicle comprises: a distribution unit (13) configured to distribute a target braking force to an engine (400) or a transmission (400) and a brake actuator (400), when the target braking force is calculated or when the target braking force is received from a movement manager, wherein the distribution unit distributes a first braking force to the one with higher priority between the engine or the transmission and the brake actuator, and distributes a second braking force smaller than the first braking force to the other with lower priority between the engine or the transmission and the brake actuator.

The application provides a vehicle control method and device, a vehicle, a storage medium and a program product, and relates to the technical field of vehicles. The method is applied to a vehicle provided with a predictive adaptive cruise control (PECC). In the method, the average speed of the vehicle in a preset distance length is obtained, and the torque of the engine of the vehicle is adjusted according to the size relationship between the average speed of the vehicle in the preset distance length and a preset target speed. The preset distance length includes at least one of a first distance length before the current position of the vehicle, a second distance length after the current position, or the sum of the first distance length and the second distance length. The above scheme realizes dynamic regulation of the torque of the engine of the vehicle, and unnecessary speed-up or speed-down can be avoided, thereby saving fuel consumption.

The application discloses a kind of commercial vehicle energy-saving control methods based on expected speed prediction, to improve the energy-saving effect of commercial vehicle at the expected speed of driver, specifically includes the following steps: (1) vehicle longitudinal dynamics modeling is carried out;(2) commercial vehicle fuel consumption model is established;(3) the objective function considering the tracking ability to the expected speed of driver, vehicle energy-saving effect and the change of vehicle torque is established, and the multi-objective optimization problem is solved using model predictive control, and constraint condition is designed.Finally, the premise that the expected speed of driver is reasonably tracked is realized to improve the economy level of commercial vehicle.

A system and method of this disclosure control an on / off state of a power take-off by monitoring the power demand of a fluid power circuit that includes the power take-off and a piece of equipment connected to the power take-off. The power demand may be indicated by a pressure or temperature of a fluid power circuit, by a motion of the equipment or its hand-held controller, or by an engine torque of an engine driving the power take-off. When the equipment transitions between an off state and an on state, the controller automatically engages the power take-off. When the equipment is in the on-state for a predetermined amount of time and the power demand is at or below a predetermined threshold during the predetermined amount of time—thereby indicating idle time or an inactive state of the equipment—the controller automatically disengages the power take-off.