12704 results about "Electric drive" patented technology

An energy storage floor assembly for a motor vehicle having an electric drive includes an electrical energy storage device accommodated in a storage housing and arranged on the bottom side of a vehicle floor. At least one longitudinal beam is arranged within the storage housing. The front end of the longitudinal beam, viewed in the vehicle direction, is connected at least indirectly to a crossbeam component which is arranged in the region of a front-end structure and to which a front axle carrier is also attached. A load transfer element is installed between a rearward region of the front axle carrier and the front end of the longitudinal beam, which load transfer element has a front support region on the front end thereof and a rear support region on the rear end thereof. In an event of an accident-induced backward movement of the axle carrier as a result of a collision, the axle carrier can be supported on the front support region of the load transfer element, the rear support region of which can be supported at least indirectly on the longitudinal beam.

The invention relates to the technical field of mechanical joints, in particular to a humanoid robot linear electric drive joint which comprises a shell, a front end cover and a rear end cover, the front end cover and the rear end cover are fixed to the two ends of the shell respectively, and an execution assembly and a drive control assembly are arranged in the shell; the execution assembly comprises a reverse planetary roller screw and a motor, and the drive control assembly comprises an encoder composed of a coded disc and a magnetic ring, a pull pressure sensor and a driver. Aiming at the technical problem that an existing linear joint has defects, a reverse planetary roller lead screw is adopted as a main transmission component, and the lead screw, a roller and a nut of the reverse planetary roller lead screw are in linear contact, so that high precision, long service life, high integration level and high thrust density can be achieved while high bearing and high speed are achieved; therefore, the method is suitable for use scenes of humanoid robot joints.

The invention relates to the technical field of new energy automobile thermal management, in particular to a direct cooling and heating management system and method in an automobile power battery. The method comprises the following steps: acquiring vehicle real-time operation condition data and battery pack state monitoring data; working condition mode recognition processing is conducted according to the vehicle real-time operation working condition data, and vehicle working condition mode feature data are generated; performing thermal load demand analysis on the battery pack state monitoring data based on the vehicle working condition mode characteristic data to obtain dynamic thermal load demand data of the battery pack; and according to the dynamic thermal load demand data of the battery pack, refrigerant demand quantity calculation and analysis are carried out, the refrigerant supply capacity of the current direct cooling system is evaluated, and refrigerant supply and demand matching feature data are obtained. The specific requirements of three heat sources of the battery, the motor and the cockpit for the refrigerant flow are quantified, and a refrigerant distribution strategy is formed according to the proportional relation, so that the safety of the battery is improved, and the driving comfort and the working stability of the electric driving system are also guaranteed.

The invention relates to the technical field of electric drive transmission system service life prediction, and discloses an AI-based electric drive transmission system comprehensive service life prediction method, which comprises the following steps: acquiring electric drive system operation parameters and mechanical part degradation data; arranging the data into a system operation full-period input tensor and a component degradation full-period input tensor, and respectively extracting multi-order feature tensors through a bidirectional recurrent neural network and a gated time convolutional network; performing cross-modal fusion by using a cross attention fusion network in combination with physical constraints to obtain a system-component degradation fusion feature vector; and after dimension reduction, inputting a multi-layer perceptron network output life prediction value, and generating a residual service life interval with confidence in combination with historical cases. The method integrates multi-source data, realizes cross-domain feature dynamic association and physical constraint fusion, improves the precision and reliability of life prediction, is suitable for intelligent operation and maintenance of the electric drive system, and provides a scientific basis for equipment maintenance.

The invention discloses an inverter intelligent control method based on a self-adaptive algorithm, and relates to the technical field of inverter intelligent control, and the method comprises the steps: multi-source temperature collection and environment recognition, machine learning-based electric-thermal coupling prediction, self-adaptive inverter parameter optimization, and cooperative thermal management and fault diagnosis self-repairing. According to the high-temperature or low-temperature failure risk of the motor and the inverter under the extreme climate, temperature distribution and load information are obtained in real time, the temperature rise trend is predicted in advance, and the current, voltage and modulation strategy of the inverter are actively adjusted, so that safe derating or torque compensation is achieved; multi-sensor cross validation and observer fusion are carried out when sensors drift or devices are aged, stable operation and efficient energy utilization of the system are kept, and the drivability and the whole vehicle reliability in an extreme environment are remarkably improved; in the process, fault diagnosis and self-repairing can be further improved through online model updating, and the durability and economical efficiency of the electric drive system are improved.

The invention relates to a deep integrated electric drive assembly design method and system, and the method comprises the steps: obtaining the parametric modeling data of an electric drive assembly, and carrying out the digital twin synchronous motor modeling, and obtaining a drive three-dimensional model; topological structure data of the electric drive assembly are obtained, and mixed algorithm optimization calculation is carried out on the topological structure data and the drive three-dimensional model to obtain a system optimization solution set; performing model prediction control construction based on the system optimization solution set, and performing gear contour line modification processing on the electric drive assembly to obtain a speed reduction transmission strategy; performing heat dissipation management extraction optimization on the system optimization solution set according to a preset variable cross-section micro-channel heat dissipation algorithm to obtain a dynamic heat dissipation strategy; preliminarily integrating the speed reduction transmission strategy and the dynamic heat dissipation strategy to obtain an initial design scheme; eMI filtering optimization is carried out on the initial design scheme, multi-stage electromagnetic shielding construction is carried out, and a system performance optimization scheme is obtained. The comprehensive performance of the system can be improved through integral design, regulation and control.

Method for determining the internal resistance of a battery cell of an energy storage device for an electrically powered motor vehicle, wherein the method comprises: charging the battery cell with a charging current; repeatedly temporarily reducing the charging current to a measuring charging current; measuring a cell voltage dependent on the charging current; and determining the internal resistance based on the cell voltage and the charging current.

A drive system for a hybrid or electric vehicle that includes a transmission with four forward and four reverse gears. The transmission optionally includes a first and a second planetary gearset, and optionally a first and second range selector assembly. The range selector assemblies may include a clutch and a brake, and / or a synchronizer. The drive system may include a single electric motor with any example of a transmission of the present disclosure, or multiple electric motors individually driving separate transmissions. The motors may be arranged upstream or downstream of portions of a transmission, and they may be aligned parallel with or perpendicular to a drive axle, input shaft, output shaft, and any suitable combination thereof. An internal combustion engine may be included as well.

The invention discloses an electromobile EMB system clamping force estimation method based on a non-pressure sensor, and relates to the technical field of distributed electric drive-by-wire automobiles, the viscous effect between a brake disc and a friction plate during actual braking is considered, and a clamping force dynamic stiffness model is established for predicting the clamping force; discretizing a description equation of the clamping force dynamic stiffness model, and establishing a discretized clamping force state space equation; according to the motor torque balance equation, designing a sliding-mode observer of the motor load torque for observing the load torque of the motor in real time in the braking process; according to a transmission model of the EMB system, a load torque observation value observed by the sliding mode observer in real time is converted into a clamping force observation value; and calculating an optimal clamping force estimated value at the current moment according to an optimal clamping force estimated value obtained at the previous moment by using a Kalman filtering algorithm in combination with the discretized clamping force state space equation and the clamping force observed value, so as to realize real-time optimal estimation of the clamping force. The problems that under the control of the pressure sensor, due to high temperature and high pressure during braking, the measuring precision of the pressure sensor is reduced, and even the whole pressure sensor is invalid are solved.

A combined floor assembly and energy storage device for an electrically driven passenger car includes a floor assembly on the lower face of which an energy storage device of an electric drive of the passenger car is arranged. A holding element, by which a rear end region of the energy storage device is held on the lower face of the floor assembly, and a rear cross-member, which is arranged on the lower face of the floor assembly and behind the energy storage device in the vehicle longitudinal direction are provided. In order to provide a combined floor assembly and energy storage device which offers especially rigid support for the rear cross-member even in a vehicle with a purely electric drive and in which, additionally, the energy storage device is fixed to the rear end on the lower face of the floor assembly in a particularly stable manner, the energy storage device is secured to the rear cross-member by way of the holding element.

The invention relates to the technical field of electric vehicle control, and discloses a stability control method and system for an electric vehicle, and the method comprises the steps: collecting vehicle driving data in real time, and dynamically estimating the state parameters of the vehicle through an unscented Kalman filtering algorithm; according to the state parameters of the vehicle, combined with the kinematic model and the foresight trajectory, the expected yawing moment in a short time in the future is calculated, and the longitudinal traction requirement of the vehicle is obtained; and according to the state parameters of the vehicle and the longitudinal traction requirement of the vehicle, the yawing moment and the traction force are decoupled and distributed to the four electric driving wheel ends, and stable control over the electric vehicle is achieved. Compared with a traditional stable control system only based on closed-loop feedback, the stable control system has the advantages that the control response is faster, the yawing intervention is more accurate, and better control performance and vehicle safety are shown under the low-adhesion road surface and high-load working conditions.

A manned aircraft having wing parts, an internal combustion engine which is connected via a shaft to a left thrust nacelle and to a right thrust nacelle, which are pivotable from a vertical position for a hovering flight phase into a horizontal position for the forward flight phase, and having a left thrust unit and a right thrust unit which are driven by electric motors, and having a control unit which carries out a moment-dynamic flight control and which controls the thrust units to generate thrust for the hovering flight phase and at least partially stops them for the forward flight phase.

The invention relates to the field of welding, in particular to steel structure welding equipment with an automatic positioning function, which comprises a fixed ring I, an electric control guide rail, a cylinder, an electric push rod I, a sliding ring, a fixed ring II and the like, the first fixing ring is fixedly connected with an electric control guide rail. The electric control guide rail is rotationally connected with a cylinder through a sliding block. The cylinder is fixedly connected with a plurality of electric push rods I; telescopic parts of all the electric push rods are jointly and fixedly connected with a sliding ring; the sliding ring is rotationally connected with a second fixing ring. The two steel pipes in butt joint are fixed through the electric driving wheels on the first fixing ring and the second fixing ring, the first fixing ring, the cylinder and the second fixing ring are concentrically arranged, all the electric driving wheels jointly center and clamp the two steel pipes, and then the laser welding head is controlled to rotate for welding. During welding, deviation between the steel pipes can be effectively avoided, and the welding quality of butt joint of the steel pipes is improved.

The invention discloses a data processing and quality evaluation method for efficiency test data of an electric drive system. The method comprises the following steps: acquiring an original electric drive efficiency test data set; performing noise reduction on the original electric driving efficiency test data set through a probability distribution-based data noise reduction method to obtain a noise-reduced electric driving efficiency test data set; carrying out the first abnormity detection and processing of the noise reduction electric drive efficiency test data set through a DBSCAN model, and obtaining a preliminary screening electric drive efficiency test data set; carrying out the second anomaly detection and processing of the preliminary screening electric drive efficiency test data set through an LOF algorithm model and an iForest algorithm model, and obtaining a preprocessed electric drive efficiency test data set; and performing quality evaluation on the preprocessed electric drive efficiency test data set through the constructed six-tuple data quality model. According to the invention, effective noise reduction and abnormity detection can be carried out on the efficiency test data of the electric drive system, so that the data quality is improved.

The invention relates to the technical field of motor control, and discloses a permanent magnet synchronous motor control system and method for an electric drive hydraulic source, and the system comprises a data collection module which is used for collecting the state parameters of the electric drive hydraulic source and the operation data of a permanent magnet synchronous motor in real time through multiple sensors; the sensor redundancy and fault-tolerant module is used for performing parallel sampling through hardware dual-redundancy configuration and dual sensors; the self-adaptive fuzzy logic control module is used for dynamically adjusting a rotating speed instruction and a torque instruction of the permanent magnet synchronous motor based on the collected state parameters; a data driving optimization module; and a digital twinning prediction maintenance module. A self-adaptive fuzzy logic control module is used for dynamically generating a motor rotating speed and torque instruction based on parameters such as real-time pressure, flow deviation and change rate, a fuzzy logic algorithm is used for processing a nonlinear time-varying load and quick response, a self-adaptive fuzzy logic control rule weight and a power conversion circuit parameter are optimized through a reinforcement learning algorithm, and the control precision is improved. And dynamic self-optimization of permanent magnet synchronous motor control is realized.

The invention discloses a detection system for operation abnormity of an electric drive axle motor of a new energy commercial vehicle, and belongs to the technical field of motor abnormity detection. The system comprises a multi-source sensing module, a dynamic coupling analysis module, a harmonic distortion traceability module, a dynamic stability analysis module, an anomaly fusion decision module, a self-adaptive threshold generation module and a fault tree reasoning module. Multi-dimensional signals such as current, vibration, temperature and a rotor position angle are synchronously acquired through the multi-source sensing module, and multi-physics field collaborative analysis is performed through the dynamic coupling analysis module and the harmonic distortion traceability module, so that the fault diagnosis accuracy of operation abnormity of the electric drive axle motor of the new energy commercial vehicle is improved; the problem that in the prior art, detection only depends on a single physical quantity, and misjudgment or missing detection is easily caused by interference is solved.

An aircraft system is provided. The aircraft system includes: a gas turbine engine; a fuel system having a fuel tank and a fuel delivery system fluidly connecting the fuel tank to the gas turbine engine; an electric drive assembly including a component module; and a thermal management system including: a thermal fluid loop; a heat source heat exchanger in thermal communication with the component module and the thermal fluid loop; an airflow heat sink heat exchanger in thermal communication with the thermal fluid loop and further configured to be in thermal communication with a cooling airflow during operation of the gas turbine engine; and a fuel heat sink heat exchanger in selective thermal communication with the thermal fluid loop, the fuel tank, or both, the fuel heat sink heat exchanger in fluid communication with the fuel tank independently of the fuel delivery system during at least a first operating condition.

The invention relates to the technical field of photovoltaic power generation, and discloses a buoyancy tank type water surface photovoltaic floating body support platform which comprises at least two buoyancy tank bodies and at least one mounting frame detachably mounted between the two buoyancy tank bodies, a U-shaped frame is mounted at the top of the mounting frame through fastening bolts, and a photovoltaic module is arranged at the top of the U-shaped frame; an adjusting assembly used for adjusting the angle of the photovoltaic assembly and a reinforcing assembly used for reinforcing the photovoltaic assembly are arranged in the U-shaped frame. According to the buoyancy tank type water surface photovoltaic floating body support platform, the temperature sensing pipe is arranged in the adjusting assembly and used for receiving heat of solar illumination to conduct automatic heating, then expansion liquid in the temperature sensing pipe expands, along with expansion of the expansion liquid, the jacking rod can be driven to conduct jacking, the photovoltaic assembly is driven by the adjusting frame to conduct angle adjustment, and the photovoltaic assembly can conduct angle adjustment. The automatic tracking angle adjusting function is achieved, extra electric driving force does not need to be arranged, and operation convenience is improved.

A system for an electrified vehicle, such as a battery electric vehicle (BEV), includes an inverter connected between a battery and a motor having windings. A center-tap of the battery and a neutral-point of the windings are connected whereby the battery, the inverter, and the motor are connected in a closed circuit. The system further includes a controller configured to control the inverter to cause a circulating current from the battery through the closed circuit to thereby achieve a target temperature of the battery.

The invention provides a distributed electric drive vehicle four-wheel differential torque enhanced steering control method and system, and belongs to the technical field of artificial intelligence risk prediction. The vehicle is provided with an upper-layer torque decision module, a lower-layer torque cooperation module and a vehicle-mounted sensor; selecting a pivot steering auxiliary strategy according to an actual driving scene, and pressing a function key to enter a working condition; vehicle dynamic information is obtained through a vehicle-mounted sensor, whether a vehicle is in an in-situ steering state or a small-radius steering state is judged by combining vehicle body static data, and when a selected function key is in an in-situ steering state or a small-radius steering state, the vehicle dynamic information is obtained in real time, and fuzzy reasoning and a neural network algorithm are combined. The ground attachment coefficient and the target yaw angle speed are intelligently judged, and therefore accurate control over the steering torque is achieved; or a double-controller structure is adopted, the torque of each wheel can be effectively distributed and adjusted under complex working conditions, and flexible control and stable running of the vehicle in a narrow space are ensured.

The invention belongs to the technical field of tools, and discloses a clamp driving and transmission system which comprises an electric driving assembly, a hydraulic driving assembly, a clamping assembly, a rotating assembly and a clamp frame, and the electric driving assembly is electrically connected with the hydraulic driving assembly, the clamping assembly and the rotating assembly. The hydraulic driving assembly is connected with the clamping assembly and the rotating assembly through the control valve set, and the clamping assembly and the rotating assembly are installed on the clamp frame. The system is compact in structure, convenient to use and low in requirement for a power source, braking kinetic energy and gravitational potential energy can be recycled, and the system has the advantages of being high in energy efficiency, good in dynamic performance, capable of achieving accurate positioning and the like.

The invention provides a magnesium alloy electric drive main shell mold machining precision control method and system, and belongs to the field of precision numerical control machining. The method comprises the steps that dynamic milling force, key point temperature and position signals of all shafts are synchronously collected through a multi-source sensor; a recursive least square method is adopted to identify the dynamic rigidity and damping coefficient of the tool-workpiece system on line, and the thermal deformation drift distance is calculated in combination with a temperature signal; predicting a three-dimensional deformation error vector in real time based on the dynamic model, thermal deformation and geometric errors, and constructing a space compensation field; macro motion compensation is achieved by modifying numerical control program coordinate points, and meanwhile high-frequency micro-amplitude compensation is conducted through a spindle tail end fast tool servo system. And establishing an adaptive disturbance observer to perform online estimation on unmodeled disturbance and feed-forward compensation, and realizing online self-tuning of model parameters in combination with in-situ measurement feedback. Real-time sensing, full-band dynamic compensation and closed-loop self-adaptive control of multi-source errors are achieved, and the machining precision and long-term stability of the mold are remarkably improved.

The invention belongs to the technical field of shock insulation supports, and particularly relates to a composite thick laminated rubber shock insulation support with self-adaptive damping, a shock insulation method of the composite thick laminated rubber shock insulation support and an intelligent fluid preparation method. According to the technical scheme, the composite thick laminated rubber shock insulation support with the self-adaptive damping function comprises an upper connecting steel plate and a lower connecting steel plate, a steel plate layer, a rubber layer, a pressure sensing layer and a sensor network layer are arranged between the upper connecting steel plate and the lower connecting steel plate, and a plurality of fluid cavities communicated through pipelines are formed in the rubber layer; the pressure sensing layer is provided with an electromagnetic coil, a piezoelectric driving unit and a valve body, the valve body is connected with the fluid cavity through a guide pipe, the electromagnetic coil is arranged on the valve body in a sleeving mode, and the electromagnetic coil and the valve body are electrically connected with the piezoelectric driving unit. The invention provides a composite thick laminated rubber shock insulation support with self-adaptive damping, a shock insulation method of the composite thick laminated rubber shock insulation support and an intelligent fluid preparation method, and the composite thick laminated rubber shock insulation support has intelligent sensing and self-adaptive adjusting functions and can keep long-term stability.

The invention discloses an axial flux motor, an electric drive system and a vehicle. The axial magnetic flux motor adopts a single-stator and double-rotor structure in which a stator is arranged in the middle and rotors are arranged on two sides, and comprises a stator assembly, and a first rotor assembly and a second rotor assembly which are distributed on two sides of the stator assembly, and the first rotor assembly and the second rotor assembly are respectively connected with the stator assembly through a first rotor bearing and a second rotor bearing. The single-stator double-rotor axial flux motor only comprises one stator assembly, so that the energy loss is low, the heat productivity is low, the power density is higher, and the energy conversion efficiency is higher. One end of the rotor shaft is fixedly connected with the output part of the first rotor assembly, and the other end of the rotor shaft is in transmission connection with the output part of the second rotor assembly. The tolerance of the relative positions of the two rotor assemblies is smaller, the magnetic poles of the magnetic steel of the two rotor assemblies can be in one-to-one correspondence, and the difficulty of motor calibration after the motor assembly is assembled is reduced.

The invention relates to the technical field of electric workover rig thermal management, and discloses a workover pump truck electric drive thermal management method and system, and the system comprises a multi-source temperature collection module, an operation state monitoring module, a thermal management analysis module, a strategy matching engine module, a dynamic execution control module, a feedback optimization module, and a prediction decision module. The method comprises the following steps: acquiring environment temperature, motor temperature, battery temperature and cooling liquid temperature data; obtaining motor power, battery current and a vehicle operation mode; generating a thermal management demand level based on the temperature and the operating parameters; matching natural cooling, air cooling or liquid cooling strategies according to grades; cooling operation is executed, the temperature change rate is calculated in real time, and the cooling intensity is dynamically adjusted; when the threshold value is exceeded, liquid cooling cooperative control is started; predicting a thermal load trend through an LSTM model, generating a dynamic cooling plan, and optimizing an execution priority; and a thermal management efficiency evaluation report is output, so that the operation reliability and energy efficiency of the electrically-driven workover pump truck are improved.

The invention discloses a multi-drive cooperative control method for high-precision electric drive assembly equipment, relates to the technical field of intelligent manufacturing control, and is used for solving the problem of insufficient cooperative control precision of a multi-axis system under parameter mismatch and disturbance. By constructing a multi-source data fusion and dynamic coupling analysis mechanism, the system collects the motion state and control parameter data of multiple driving shafts, generates a multi-shaft collaborative dynamic response sequence, and calculates the dynamic coupling degree between the shafts to identify the uncertainty mode of the system; positioning a performance degradation shaft section by combining the temperature field and the vibration signal characteristics, and generating a system stability evaluation coefficient; and establishing a space mapping relation to construct a dynamic compensation factor matrix, and generating a control parameter adjusting quantity meeting a collaborative matching condition through fuzzy rule reasoning. According to the method, control instability caused by traditional global adjustment is avoided, precise cooperative control of the multi-axis system is achieved, and the control precision, operation stability and reliability of equipment under the dynamic working condition are remarkably improved.

Systems and methods for an electric drive unit. The electric drive unit includes, in one example, a first electric machine rotationally coupled to a first drive wheel via a first gear train and a second electric machine rotationally coupled to a second drive wheel via a second gear train. The electric drive unit further includes a disconnect clutch that is configured to selectively rotationally couple the first electric machine and the second electric machine and a park lock assembly that is coupled to one of the first gear train and the second gear train and is configured to inhibit rotation of the corresponding gear train.

A powertrain of a vehicle comprising an electric motor (16) having a drive shaft (11) wherein the drive shaft is oriented preferably perpendicular to the common axis (Aw) of the wheels (18) which the powertrain is intended to drive (i.e. rotate). The drive shaft of the electric motor is mechanically connected to the axles (20, 22) of the wheels, which are aligned with the common axis, via a transmission (10) having at least one pair of mating gears (12, 14), preferably with one of the pair of mating gears being an offset pinion (14), and with the reduction ratio of the transmission being in the range of about 6 to about 15 with the pinion having 2 to 6 teeth.

The invention provides an efficiency simulation method and device for a speed reducer of an electric drive system. The method comprises the following steps: constructing a speed reducer simulation model; performing dynamic simulation on the speed reducer under the set working condition to obtain simulation data; constructing a speed reducer system efficiency simulation platform according to the simulation data; performing simulation calculation according to the speed reducer system efficiency simulation platform to obtain a simulation calculation result; according to the speed reducer system efficiency simulation platform and the simulation calculation result, various types of losses are calculated; efficiency calculation is carried out according to a reducer system efficiency simulation platform and various types of losses, and reducer cycle working condition comprehensive efficiency is obtained; and when the comprehensive efficiency of the speed reducer cycle working condition reaches a preset efficiency target, outputting a speed reducer simulation model. The method and the device can comprehensively consider the actual working condition, optimize the design of the speed reducer to improve the comprehensive efficiency performance, improve the efficiency simulation precision of the speed reducer in the electric drive system, shorten the design iteration period and cost, and facilitate the improvement of the research and development efficiency and the overall performance of the product.

The invention provides an eddy current sensor, a detection device and an electric driving system, and the sensor comprises an eddy current rotor, one end of which is connected with a rotating shaft of a to-be-detected motor and rotates synchronously; one end of the printed circuit board assembly is an electromagnetic induction area, the exciting coil and the receiving coil are arranged in the electromagnetic induction area, the receiving coil is distributed on the inner side of the exciting coil, the other end of the eddy current rotor is close to the electromagnetic induction area to form a preset air gap distance, and the eddy current control module is arranged at the other end of the printed circuit board assembly. The eddy current control module is connected with the excitation coil to form a high-frequency oscillation magnetic field and is connected with the receiving coil to receive the induced electromotive force. The design is compact, the size is greatly reduced, light weight is achieved, and the installation space and the manufacturing cost are reduced.