9927results about "Speed controller" patented technology

A system and method for electric vehicle operational optimization is disclosed. The system comprises a memory storing processor-executable instructions and a processor, communicably coupled with the memory. The system obtains input data and predict health and performance parameters. The system generates computer simulated instances which emulate a behavior and a performance of the electric vehicle. The system, further, validates the health and the performance parameters by simulating the computer simulated instances in a virtual environment. The system determines a behavior status, a performance status and a health status of the electric vehicle. Thereafter, the system determines abnormality associated with the electric vehicle, followed by determining action for rectifying the abnormality. Consequently, the system controls an operation by performing the determined action at the electric vehicle.

The invention relates to the technical field of electric vehicle control, and provides an intelligent new energy locomotive power distribution and energy recovery control system and method. The system comprises a multi-source information sensing layer, an intelligent decision control layer and an execution feedback layer. The multi-source information sensing layer collects the state of a vehicle and external environment data. The intelligent decision control layer generates a power distribution and energy recovery instruction through data fusion and preprocessing, fuzzy logic assistance, reinforcement learning decision and cooperative work of a multi-objective optimization module; and the execution feedback layer executes the instruction, monitors feedback in real time, and optimizes related actions. According to the method, advanced technologies such as reinforcement learning and fuzzy logic are fused, complex and changeable driving scenes are accurately dealt with, self-adaptive optimization of power distribution and energy recovery strategies is achieved, the energy recovery efficiency is improved, power distribution is accurate and efficient, dynamic adjustment can be achieved according to driving intentions and working conditions, the driving safety and comfort are guaranteed, and meanwhile the driving efficiency is improved. And efficient utilization of energy is realized.

A method of controlling drift of a vehicle in which the vehicle more easily enters, maintains, releases, and transitions drift behavior, includes determining, by a controller, whether a current driving situation of the vehicle is a drift entry situation or a release situation based on vehicle driving information, and generating a drift index configured to indicate a current degree of drift from a determination result, determining, by the controller, a target yaw moment for left and right speed control depending on a driving situation or a braking situation of the vehicle and target yaw moments for drift assistance control depending on a driver input and a vehicle state in the drift entry situation, based on the vehicle driving information, and generating and outputting, by the controller, a target torque of a motor configured to drive each wheel of the vehicle based on the determined target yaw moments.

The invention provides a vehicle anti-skid control method, device and system and a vehicle. According to at least one driving wheel of the vehicle, the chassis wheel speed, the actual wheel speed, the wheel end actual torque, the adhesion coefficient, the total wheel load, the target slip rate, the wheel radius and the vehicle speed are obtained; a feedforward control torque is determined according to an attachment coefficient, a total wheel load and a wheel radius, a wheel speed deviation is determined according to a target slip rate, a chassis wheel speed and an actual wheel speed, a torque deviation is adjusted through a vehicle speed, the attachment coefficient and the wheel speed deviation to obtain a feedback control torque, and the feedback control torque and the attachment coefficient are superposed to serve as an output torque for vehicle anti-skid control. Dynamic wheel load changes and wheel load changes caused by the vehicle on the ramp road surface are considered, the total wheel load is estimated in real time, feed-forward control is introduced to obtain the feed-forward control torque, feedback control is compensated, and the stability and accuracy of anti-skid control are enhanced when the ramp road surface and the loads change.

A modular electric power take-off (E-PTO) system for a refuse vehicle includes a modular housing. The modular E-PTO also includes a motor, an inverter, a battery, and a hydraulic pump positioned within the modular housing. The modular housing is removably coupled with a front of a waste receptacle or a hopper of the waste receptacle of a refuse vehicle.

A “one-pedal rocking mode” for extricating an electric vehicle from a stuck condition is implemented by: receiving, via a human-machine interface (HMI) of the electric vehicle, an indication of a user selection to activate the one-pedal rocking mode; operating the electric vehicle in the one-pedal rocking mode responsive to detecting movement of an accelerator pedal of the electric vehicle; controlling at least one electric motor of the electric vehicle to: (i) apply a forward torque to corresponding drive wheels when the accelerator pedal is in a first pedal position that exceeds a forward threshold, (ii) apply a reverse torque to the corresponding drive wheels when the accelerator pedal is in a second pedal position that is less than or equal to the forward threshold; and exiting the one-pedal rocking mode by switching operations of the electric vehicle to a second operating mode responsive to detecting an exit condition.

The invention relates to the technical field of electric vehicle control, in particular to an AI-based electric vehicle intelligent starting and acceleration control method and system. The method comprises the following steps: acquiring a driving log of a vehicle owner, performing intelligent vehicle optimization after starting, and constructing an intelligent starting mode selection strategy; physiological state data of a driver are obtained, state change evolution analysis is carried out, and a personalized driving portrait is constructed; holographic state sensing and vehicle virtual simulation are carried out, and a vehicle synchronous digital simulation model is constructed; radar feedback sensing information and a real-time monitoring image in front of a vehicle are collected, traffic situation prediction and vehicle scene prediction and perception are carried out, and a vehicle scene prediction and perception model is constructed. According to the method, the driving starting mode of the vehicle is intelligently selected, vehicle owner requirements and environment available power constraints are matched, and vehicle acceleration efficiency maximization and safety optimization are achieved.

The invention discloses a power domain controller system, which relates to the technical field of vehicle design and research and development and comprises a domain control board, a power module and a high-voltage power distribution part, the domain control board comprises a vehicle control unit, a heat management controller, a battery management system, a gear shifting controller and a power distribution control unit, wherein the heat management controller, the battery management system, the gear shifting controller and the power distribution control unit are electrically connected with the vehicle control unit. The heat management controller is electrically connected with the power distribution control unit. The power module comprises a slow charging motor, a DCDC converter and a relay, the slow charging motor is electrically connected with the battery management system, and the DCDC converter is electrically connected with the gear shifting controller; and the high-voltage power distribution part comprises a copper bar, a relay and a fuse. Through multi-module integration, the number of physical controllers and wiring harness complexity are reduced, the system development and maintenance cost is remarkably reduced, and meanwhile platform expansion is facilitated.

The invention relates to the technical field of electric vehicles, in particular to an electric vehicle parking motor torque adjusting method. The problems that an existing electric automobile parking system is insufficient in parking force control precision, lagged in response and low in energy consumption efficiency under complex working conditions are solved. According to the method, a multi-dimensional vehicle running state, a driver instruction and environment sensing data are collected in real time, a vehicle-environment coupling dynamic model is established and updated in real time, then an adaptive model predictive control (AMPC) strategy is utilized, the future movement trend of a vehicle is predicted based on the dynamic model and a target parking demand, and the vehicle-environment coupling dynamic model is established and updated in real time. And the optimal torque instruction of the parking motor in the current control period is optimized and calculated, and the parking motor is driven to generate corresponding torque. High precision, high adaptability, high safety and high stability of parking torque adjustment can be achieved, the energy efficiency is effectively improved, the service life of parts is effectively prolonged, and the intelligent level is enhanced.

The invention discloses a distributed driving automobile control method. The method comprises the steps that 1, dynamic parameters of an automobile are collected in real time, and the equivalent adhesion coefficient of each wheel is calculated; 2, dividing types and optimizing torque distribution according to pavement adhesion coefficients: respectively adopting priority, uniform and dynamic weight distribution strategies for low, high and asymmetric pavements; 3, establishing a multi-objective optimization model, and solving an optimal torque distribution scheme considering the tire utilization rate and the yaw stability by using a quadratic programming algorithm; 4, compensating a torque error and motor response delay by adopting sliding mode control and a feedforward-feedback mechanism; and 5, the control parameters are dynamically corrected based on errors of the longitudinal acceleration and the yaw velocity, and torque limiting or safety mode switching is triggered. Through multi-strategy collaborative optimization, the stability and driving efficiency of the vehicle under different attachment road surfaces are improved, the tire slipping risk is reduced, and driving safety under extreme working conditions is guaranteed.

The invention provides a regenerative braking-based dynamic energy distribution method for a new energy automobile, which belongs to the technical field of braking systems and comprises the following steps: step 1, determining the total braking force currently required by the automobile, and further determining the distribution proportion of mechanical braking and regenerative braking; 2, evaluating the current acceptable charging power of the battery and the feedback power range of the motor, and further determining limit data of regenerative braking energy distribution; 3, the optimal regenerative braking force and mechanical braking force distribution proportion under the current working condition is determined; 4, the optimal regenerative braking force distribution proportion is converted into a regenerative braking force instruction, then a motor is controlled to generate corresponding regenerative braking torque based on the regenerative braking force instruction, the vehicle is braked, and energy is recycled; and 5, the mechanical braking force distribution proportion is converted into a mechanical braking force instruction, and then a mechanical braking device is controlled to generate corresponding braking force based on the mechanical braking force instruction. And more accurate brake control and energy management are realized.

The invention discloses a vehicle control method and device and a vehicle. The method comprises the steps that in a current stroke determination period, when it is determined that an accelerator is released and a brake pedal is stepped down, the current stroke of the brake pedal is determined; if the difference value between the current stroke and the previous stroke of the previous stroke determination period is smaller than or equal to a preset difference value threshold value, the current deceleration is determined according to the current stroke, and the motor is controlled to decelerate according to the current deceleration and a proportional-integral control strategy; if the difference value between the current stroke and the previous stroke is larger than a preset difference value threshold value, or the duration of the maximum stroke of the current stroke reaches a first preset duration, an electromagnetic brake is controlled to conduct braking; and in the process of controlling the motor to decelerate, if the duration of the opposite actual rotation direction of the motor to the initial rotation direction reaches a second preset duration, updating the proportional-integral control strategy, and controlling the motor to operate according to the updated proportional-integral control strategy. According to the technical scheme, the vehicle can be better controlled.

The invention relates to the technical field of electric vehicle transmission and control, in particular to an electric vehicle speed reducer parking motor position feedback system. The system aims at solving the problems that the position feedback precision is reduced, the reliability is insufficient and the redundancy is deficient in a severe environment in the existing scheme. According to the system, through redundancy design of a main position sensing module (a magnetoelectric encoder) and an auxiliary position sensing module (an inductive sensor) and in combination with a multi-source data fusion module (based on Kalman filtering), anomaly detection and fault tolerance, position prediction and compensation and a temperature compensation and self-adaptive calibration mechanism, accurate feedback of the position of the parking motor rotor is achieved. According to the system, the accuracy and robustness of position feedback and the reliability of the system can be remarkably improved, the service life of a parking mechanism is prolonged, and the parking safety is improved.

To communicate a plurality of settings for battery temperature adjustment in an easy-to-understand manner, thereby suppressing a deterioration in usability.SOLUTION: A battery temperature adjustment system includes: a cooling / heating device for adjusting a temperature of a battery; a processor; and a display device. Setting modes of the cooling / heating device include: a navigation-triggered temperature adjustment mode, as a setting in which, with a fact, as a trigger, that a travel route of an electric vehicle includes a charging facility, the temperature of the battery is adjusted to be within a first temperature range suitable for charging upon arrival at the facility; and an operation-triggered temperature adjustment mode, as a setting in which, when there is received predetermined operation by a user of the electric vehicle for adjusting the temperature of the battery within a second temperature range suitable for charging / traveling, the temperature of the battery is adjusted within the second temperature range. The display device includes a common element in display in each of the navigation / operation-triggered temperature adjustment modes, and adds a specific element to the common element in one of the navigation / operation-triggered temperature adjustment modes. The processor controls the display device such that: the common element is displayed in each of the navigation / operation-triggered temperature adjustment modes; and the specific element is displayed in the one thereof.SELECTED DRAWING: Figure 3

A system is operable for controlling a force applied on a trailer being towed by a vehicle is described to a desired force Fd. The trailer has brakes and an optional motor for providing a propelling force to the trailer. A force sensor senses fore-aft forces between the vehicle and trailer at all times while the trailer is being towed. A controller receives signals from the force sensor and is operatively connected to the trailer brakes and the motor. The system controls the force between a towing vehicle and a trailer to the desired force Fd, by any one of: (a) operating the brakes to apply a braking force to the trailer; (b) activating the motor to apply a propelling force to the trailer; and (c) operating the brakes and activating the motor to apply both a braking and a propelling force to the trailer.

The invention discloses a double-closed-loop cooperative control method of a direct-drive electric chassis and a power system, relates to the technical field of power control of electric special vehicles, and provides a rotating speed and torque double-closed-loop cooperative control architecture, and realizes double-core real-time cooperative operation and dynamic optimization of motor output characteristics through a 32-bit processor. A direct-drive transmission structure is combined, a traditional speed reduction device is omitted, a flat wire motor directly drives a rear axle through a transmission shaft, and a four-in-one controller is matched, so that the system loss is reduced by 33%, and the power density is improved by 15%; on the basis of real-time temperature / electric quantity data of a lithium iron phosphate battery management system, control parameters are adaptively adjusted, and the bottleneck of performance attenuation in a low-temperature environment of-35 DEG C is broken through; and a high-voltage interlocking and insulation monitoring module is integrated, and an emergency hydraulic system is automatically switched when an electrical fault occurs, so that multi-stage safety guarantee is formed. According to the technology, the energy recovery efficiency is remarkably improved by 20%, and the wind resistance stability and the extreme environment reliability are effectively enhanced.

The invention discloses a vehicle torque control method and device, a computer readable storage medium and a vehicle, and relates to the field of vehicle control. The scheme comprises the steps that first torque is generated according to a vehicle torque request, and second torque is generated through filtering; generating a base torque gradient according to the vehicle state and the second torque; obtaining a corrected torque gradient according to the dynamic correction coefficient; generating a dynamic zero-crossing region threshold according to the vehicle state and the corrected torque gradient; and performing torque control on the zero-crossing region according to the dynamic zero-crossing region threshold. The threshold is dynamically adjusted based on the vehicle state, and it is ensured that the zero-crossing range meets the actual working condition requirement. The dynamic property and the smoothness are balanced through correction coefficient and gradient control, the dynamic response is guaranteed, meanwhile, precise control over the zero-crossing area is achieved, the problems of vehicle structural collision abnormal sound and the like are solved, meanwhile, the controllability of an accelerator pedal is enhanced, and the driving experience feeling of a user is improved.

An electric wheel controller and methods for operating and manufacturing an electric wheel controller are disclosed. Embodiments include a controller forming a structural and / or load bearing component of the vehicle suspension system. Embodiments of the controller can be mounted to a wheel assembly, and in some embodiments the controller is a suspension knuckle. Embodiments include a controller with a cavity and electronic circuitry submerged in liquid coolant. During operation the coolant can absorb heat from the immersed circuitry. In some embodiments the coolant transitions to a gas and / or vapor, and can move to an upper portion of the cavity. When the coolant contacts the cooler surfaces of the cavity the coolant can transition back to a liquid and return to a pool of liquid coolant in which the circuitry is immersed. A heat sink can be connected to the controller, such as by laser soldering.

A propulsion system, comprising: a motor assembly including a stator and a rotor, a heat exchanger configured to receive air to cool a liquid, and a thermal plate including one or more channels configured to convey the liquid from the heat exchanger to the motor assembly. The heat exchanger is mechanically and fluidically coupled to the thermal plate.

The invention relates to the technical field of vehicle torque control, and provides a vehicle torque control method and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring a road slope corresponding to a road on which a target vehicle runs currently and a real-time slip rate of the current target vehicle; determining an actual road adhesion coefficient of each wheel in the target vehicle based on the road gradient; based on the actual road adhesion coefficient, determining an optimal slip rate corresponding to each wheel in the target vehicle; and under the condition that the target duration is larger than the first preset duration, the torque compensation mode is started to control the output torque of the target vehicle, and the target duration is the duration when the real-time slip rate is not smaller than a first preset slip rate threshold value. Through the method provided by the invention, the running stability of the target vehicle under the complex road condition is improved.

Disclosed in the present invention are a current lookup table-based permanent magnet synchronous motor wide voltage range control method and a medium. The method comprises: by means of a full-speed domain current calibration method, obtaining a rotating speed-torque two-dimensional lookup table under a rated bus voltage; on the basis of the lookup table, multiplying a given rotating speed with a front-and-rear amplitude limiting voltage ratio to achieve wide voltage range control; and performing friction torque compensation and sampling delay compensation of a three-phase current at different rotating speeds. The present invention takes into account bus voltage fluctuation under the complex working condition of an electric vehicle, and multiplies the given rotating speed with a variable voltage coefficient ku to obtain an input rotating speed of an input current lookup table, such that precise current control of the permanent magnet synchronous motor under different bus voltage working conditions can be achieved, thereby avoiding the complex and tedious process of re-calibration of the current lookup table under different bus voltages; the present invention also takes into account friction torque compensation and phase current sampling delay compensation at different rotating speeds, wherein the friction torque compensation can be achieved by directly adding a friction torque error into a given torque signal in real time.

The invention provides a new energy light truck energy distribution method and system, and the method comprises the steps: obtaining the position and track of a vehicle to obtain the road section data of a current driving road section, carrying out the data preprocessing of the road section data, and carrying out the fusion of the preprocessed data, so as to obtain the current load and driving state of the vehicle; inputting the preprocessed data into an initial energy consumption model, introducing a deep learning algorithm to dynamically adjust model parameters of the initial energy consumption model to obtain an iterated target energy consumption model, and obtaining energy consumption coefficient data according to the target energy consumption model; and a motor torque demand curve is generated in real time according to the current load, the road slope and the predicted endurance mileage, torque distribution data are adjusted in combination with an adaptive algorithm, the adjusted torque distribution data are transmitted into a vehicle power control system to obtain real-time operation data of the vehicle, and then energy distribution is conducted on the new energy light truck. According to the invention, the endurance prediction precision is improved, and the real-time adaptive optimization of torque distribution control is realized.

A vehicle acceleration control method, includes: obtaining a change rate of an accelerator pedal opening degree of an accelerator pedal and a remaining energy value of a vehicle in a racetrack mode; determining a target torque compensation value based on the change rate of the accelerator pedal opening degree and the remaining energy value of the vehicle; and controlling the vehicle to accelerate based on a sum of the target torque compensation value and a maximum output torque value.

An electric work vehicle includes a body, a travel device in the body, a motor to drive the travel device, an inverter to supply power to the motor, an electric component, a DC / DC converter to convert a voltage of power to be supplied to the electric component, a radiator to cool coolant, and a cooling path through which the coolant cooled by the radiator circulates through the motor, the inverter, and the DC / DC converter and returns to the radiator. The cooling path extends from the radiator, passes through the inverter, the motor, and the DC / DC converter in this order, and returns to the radiator.

The invention discloses a quadruped robot, belongs to the field of quadruped robots, solves the problems that the assembly of the quadruped robot is complicated and the efficiency is low, and adopts the technical scheme that the quadruped robot mainly comprises a trunk, four leg modules and a control box for controlling the operation of the quadruped robot, the leg module comprises a first motor, a second motor, a third motor, a thigh mechanism, a shank mechanism and a foot end piece, the first motor is installed on the trunk, an adapter of the first motor is connected with a connecting assembly, the second motor is sleeved with the connecting assembly of the first motor, and the adapter and the third motor are sleeved with the connecting assembly of the second motor; the third motor is fixedly connected with the thigh mechanism through a connecting assembly, an adapter of the third motor is connected with the shank mechanism through a connecting rod, the control box is installed in the trunk, and the first motor, the second motor and the third motor are all electrically connected with the control box. The method is mainly used for improving the assembly efficiency and the maintenance efficiency of the quadruped robot.

The invention relates to a vehicle control method and device, a vehicle and a medium, and relates to the technical field of control. The control method comprises the steps that according to the first pedal opening degree of an accelerator pedal of the vehicle, the acceleration intention of a driver of the vehicle is determined; according to the acceleration intention and the running speed of the vehicle corresponding to the first pedal opening degree, a correction coefficient corresponding to the first pedal opening degree is determined; determining a second pedal opening degree according to the correction coefficient and the first pedal opening degree; and performing acceleration control on the vehicle according to the second pedal opening degree. According to the technical scheme, the energy utilization rate of the vehicle can be increased.

The invention relates to the technical field of electric scooters, in particular to a vehicle battery energy-saving control system of a high-strength impact-resistant scooter, which comprises an impact-resistant battery bin, a battery energy-saving control system and a battery energy-saving control system, wherein the impact-resistant battery bin comprises a multi-layer composite shell, a vibration sensor and a filling layer; the energy-saving control module comprises an intelligent detection unit, a central controller and a power optimizer; the power optimizer is used for adjusting the PWM duty ratio of the motor driving circuit according to the power mapping table; the energy recovery module is used for receiving brake force, a slope angle, a motor rotating speed and a vehicle mass estimation value, calculating an optimal recovery current through a Kalman filter, and injecting the recovery current into a battery pack by adopting a bidirectional Buck-Boost circuit; and the safety cooperative controller executes a hierarchical protection strategy, and a data bus is connected with each module to realize data interaction. Therefore, the problems that in the prior art, an electric scooter is insufficient in battery endurance, low in energy recovery efficiency, weak in impact resistance, poor in collaboration and the like are solved.

The invention discloses a gravity center self-adjustment control system and method based on an electric balance car, and relates to the technical field of electric balance car control, and the gravity center self-adjustment control system comprises a multi-source sensing module, a control decision module, a multi-mode execution module and a safety control module. According to the invention, attitude, pressure, motion and environment data are fused in real time through the multi-source sensing module, three types of instability risks of sudden lateral offset, continuous slope offset and load distribution abnormity are accurately identified, and the control decision module intelligently starts differential compensation, wheel track adjustment or counterweight adjustment according to risk types. The multi-mode executing mechanism can cope with composite unbalance in a cooperative mode, the safety control module adopts a dynamic threshold value to adjust intervention sensitivity, multiple guarantees are formed in combination with a fault diagnosis and speed reduction parking mechanism, and finally the control burden of a user is relieved while the trafficability of complex road conditions is improved.