2559 results about "Motor power" patented technology

The invention provides an electricity price-based permanent magnet motor energy storage and optimization operation method and system, and relates to the technical field of motor energy storage and optimization operation, and the method comprises the steps: predicting the power of a motor through a deep belief neural network, predicting the electricity price through a space-time diagram convolutional neural network, and quantifying a system error in combination with a Gaussian mixture model, based on a prediction result, performing global optimization by adopting a quantum genetic optimization algorithm to obtain an initial optimization strategy set, applying the initial optimization strategy set to a meta-heuristic hybrid optimization model, generating a time sequence association control strategy, performing system modeling through a hybrid Gaussian-hidden Markov model, and constructing a double-layer action evaluation control network to generate an operation control instruction; a distributed reinforcement learning framework is used for cooperative control, and an optimal control strategy is obtained based on adaptive dynamic programming and a meta-learning strategy migration mechanism.

The invention relates to the technical field of water pump control, and discloses a water pump energy-saving optimization control method and system. The method comprises the steps of obtaining water pump outlet pressure, pipe network tail end flow and water pump motor power monitoring signals; calculating a flow-pressure propagation time compensation coefficient and a pressure fluctuation compensation value to eliminate the influence of signal propagation lag and amplitude fluctuation; extracting an operation condition feature vector by combining the motor power frequency domain energy distribution feature and the pressure fluctuation compensation value, and matching the operation condition feature vector with an energy-saving parameter mapping rule base to generate an energy-saving parameter combination; correcting a water pump efficiency reference curve in real time based on the combination, outputting an efficiency attenuation factor, and generating a control deviation value in combination with a target water supply demand; according to the control deviation value, the water pump rotating speed adjusting quantity and a start-stop priority sequence are calculated, and the priority sequence is optimized in combination with historical operation data to generate a machine number control instruction; and finally synthesizing a control signal to drive an execution mechanism.

The invention discloses a method for testing the dynamic response characteristic of a power supply by simulating the load change of the power supply, and relates to the technical field of power supply testing, and the method comprises the steps: generating a simulation load change sequence based on a preset load change mode, and enabling each load value to correspond to a specific time point; inputting the simulated load change sequence into the power supply to be tested, and controlling the power supply to be tested to work according to the simulated load change sequence by using the multi-channel synchronous test system so as to simulate the load change in the actual use process; a high-precision data acquisition module is used for acquiring and recording output voltage values, output current values and corresponding timestamps of the to-be-tested power supply under different load conditions at a sampling rate not lower than a first set value, and a dynamic response data set is formed; and processing the dynamic response data set by using a preset data calibration algorithm, and calculating dynamic response parameters of the to-be-tested power supply at each load change point. The motor power supply testing device has the effect of improving motor power supply testing precision.

A magnetic adsorption wall-climbing walking mechanism for a robot comprises a main frame, a first mounting base, a first permanent magnet adsorption set, a round pipe and a driving wheel set, the first mounting base is fixed to the main frame, the first permanent magnet adsorption set is mounted on the first mounting base, the magnetic adsorption face of the first permanent magnet adsorption set faces the wall-climbing face, and the round pipe is fixed to the main frame; the two driving wheel sets are installed at the two ends of the circular pipe through fixing components respectively, and the width between the two driving wheel sets can be adjusted. Each driving wheel group comprises a connecting base, a driving wheel, a motor seat, a driving motor, a second mounting seat and a second permanent magnet adsorption group, the second permanent magnet adsorption group is mounted on the motor seat between the two driving wheels through the second mounting seat, and the permanent magnet adsorption group comprises a yoke and a plurality of permanent magnets arranged in a Halbach array. The weight and the size of the magnetic adsorption group can be reduced, the loading capacity and the adsorption reliability of the robot are improved, the chassis strength is prevented from being influenced and the motor power is prevented from being consumed due to excessive residual magnetic adsorption force, and the adaptability is high.

The invention belongs to the technical field of automatic control, and relates to a self-adaptive control method based on multi-physical modeling. According to the method, by collecting multi-source data of a controlled object, a thermal, electric and force coupling relation used for control analysis is established so as to describe dynamic responses under different operation conditions. And calculating stress, motor power, energy consumption and temperature rise change in the operation process based on a coupling relation to obtain system performance data, verifying stability and safety of different control parameter combinations in a simulation environment, and obtaining performance indexes including operation retardation risk, overload safety margin and safety response time limit. And according to a simulation result, under the condition of meeting safety constraints, taking energy consumption and temperature rise as optimization targets, adjusting control parameters, generating optimized control parameter configuration data, and feeding back the optimized control parameter configuration data to a control unit, so that closed-loop adaptive control and performance optimization are realized. According to the invention, through multi-physical coupling modeling and simulation optimization, the adaptability and reliability of the automatic control system are improved.

The invention discloses a high-power offshore semi-direct-drive permanent magnet wind driven generator cooling system which comprises an outer stator and an inner rotor, the outer stator comprises a motor base, a stator iron core and a stator winding assembled on the stator iron core are installed in the motor base, and an air-water cooler is installed on the upper portion of the motor base. A flow guide plate is arranged in the air-water cooler, a heat dissipation core body is installed at the position, located at the bottom of the flow guide plate, in the air-water cooler, and the flow guide plate is used for enabling hot air exhausted out of the motor to pass through the heat dissipation core body to form a plurality of parallel air paths in the air-water cooler. And the plurality of air paths connected in parallel respectively perform cold and heat exchange with the interior of the motor so as to reduce the air resistance in the motor and the air-water cooler. The cooling system has the characteristic of low wind resistance, the power of the air cooling driving motor used by the cooling system can be reduced, the cost of the cooling system is reduced, and the heat dissipation efficiency is improved.

A concrete mortar mixing and stirring system belongs to the technical field of concrete production equipment. Aiming at the problems that an existing stirring system is difficult to accurately judge the mixing uniformity of concrete mortar and the quality is easily influenced due to excessive stirring or insufficient stirring, the system comprises a stirring tank, a vibration signal acquisition unit, a torque monitoring unit and a control unit, stirring blades in a stirring tank are driven by a motor, a vibration signal acquisition unit captures a tank body vibration signal, a torque monitoring unit detects the torque change of the motor, and a control unit decomposes the tank body vibration signal into a frequency domain signal and extracts a preset aggregate collision vibration frequency band energy value to generate a vibration energy sequence; and analyzing the torque change fluctuation intensity to generate a torque variation coefficient sequence, calculating a correlation coefficient sequence of the two, generating an adaptive shutdown threshold by a sliding time window, and cutting off a motor power supply when the correlation coefficient sequence is continuously lower than the threshold for a preset number of times. The device is mainly used for automatic stirring control of concrete mortar, and precise starting and stopping of the stirring process are achieved.

The invention discloses an air-ground multi-mode cross-domain robot system with a clutch structure and a control method. The air-ground multi-mode cross-domain robot system comprises a machine body, wings, clutch assemblies and rotor assemblies. The aircraft body drives the connecting rod mechanism through the steering engine to control the bilateral wings to move. Rotor driving motors, wheels and transmission gear sets are integrated on the wings, and motor power can be distributed to wheel driving shafts and propeller shafts. The clutch assembly is connected with a motor and a propeller shaft through a ratchet wheel meshing mechanism, and power on-off control is achieved, in the ground running process, a clutch is separated to stop rotation of a propeller, power is fully output to wheels to serve as driving wheels, and in the flight mode, the clutch is meshed to synchronously drive rotors and the wheels. According to the system, bimodal power distribution is achieved through a single motor, a driving wheel motor does not need to be additionally arranged, the structural complexity is effectively reduced, the moving speed and controllability are remarkably improved through the ground mode propeller static design, the advantage of cross-domain operation is achieved, and the system is suitable for complex task scenes.

The invention belongs to the technical field of equipment energy-saving control, and particularly discloses and provides an energy-saving control system based on a direct-current bus system, which comprises a direct-current bus framework module, an equipment state acquisition module, an equipment state analysis module and an energy flow control module. According to the method, the direct current bus voltage and the multi-dimensional operation data of the equipment motor are collected in real time, the motor power state space model is constructed by means of the Kalman filter, and the power sudden change probability of the future preset time period is accurately predicted. And meanwhile, an energy distribution strategy is dynamically adjusted in combination with the total power demand generated by the production schedule and according to the braking type and the power sudden change probability. The defect that dynamic power difference cannot be tracked through fixed threshold value feed-forward compensation in the prior art is effectively overcome, so that bus energy deposition is avoided, braking energy is distributed according to needs, meanwhile, it can be ensured that the braking energy can be recycled timely and correctly, and energy waste caused by misjudgment is reduced.

The invention relates to a self-moving device and a motion control method and system thereof, in particular to a motion control method and system suitable for a self-moving device of a double-wheel independent driving structure, the self-moving device and a medium, and aims to solve the problem that when the self-moving device of the double-wheel independent driving structure runs in a complex environment, the motion of the self-moving device cannot be controlled. The technical problem that a finer control strategy is needed in the face of core challenges such as violent load change, strong motor protection requirement and high motion stability requirement is solved. According to the motion control method of the self-moving equipment, the current rotating speeds and current currents of motors on the two sides are monitored in real time, the rotating speeds of the motors on the two sides are dynamically adjusted, the maximum output power is limited, constant acceleration smooth processing is adopted, the expected rotating speed in unit time is calculated, and it is ensured that the speed change is stable; and dynamically coordinating the rotating speeds of the motors on the two sides by utilizing a speed ratio adjusting strategy to keep a motion posture.

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 relates to a motor power self-adaptive control method and system based on multi-dimensional sensor data, and the method comprises the steps: collecting multi-dimensional signals, such as ground resistance, motor temperature and battery voltage, in real time, carrying out the self-adaptive filtering and noise reduction, analyzing the correlation of all parameters through a multivariable decoupling algorithm, and determining a power demand weight; when it is detected that the ground resistance is a dominant factor, the system generates a load feature vector through weighted fusion, a database is matched to determine an optimal power target value, and PWM output is dynamically adjusted through a fuzzy control algorithm; and a closed-loop feedback mechanism continuously optimizes control parameters to ensure that the system quickly responds to sudden change of ground resistance. According to the method, intelligent adaptation of the motor power is achieved, the problems that adjustment lags behind and multi-parameter coupling processing is insufficient in the traditional technology are effectively solved, the stability of the sweeping robot under the complex ground working condition is remarkably improved, and the service life of the motor and the service life of a battery are remarkably prolonged.

The invention relates to the field of locomotive power battery electric quantity control, and particularly discloses a locomotive power battery electric quantity hysteresis equalization control method, which comprises the following steps that: a traction force exerting mode is reset into an axle load transfer mode, and the initial value of an electric quantity equalization compensation coefficient K is a rack axle load transfer coefficient corresponding to zero speed; judging whether the current mode is a power battery power supply mode; if yes, the TCU receives the electric quantity of a front power battery and the electric quantity of a rear power battery in real time according to the current locomotive working mode, calculates the electric quantity average value difference value, monitors the auxiliary load power and the traction motor power and calculates the power difference value; entering a hysteresis control logic process; calculating a dynamic traction force compensation coefficient, ensuring that the traction force compensation amount is matched with the actual load characteristic of the system, correcting the traction characteristic curve in real time, and dynamically compensating the electric quantity difference of the battery; and performing traction distribution control according to the locomotive speed and outputting corresponding traction.

Drive unit for a vehicle that can be operated by muscle power and / or motor power, in particular an electric bicycle, eBike, pedelec or S-Pedelec, comprising a rotor, a rotor shaft, a first bearing and at least one further bearing, and a shaft, wherein the drive unit has at least a single-stage worm gear or worm gear drive, wherein a worm is non-rotatably connected to the rotor shaft and has at least one helical thread, and a worm wheel which is non-rotatably connected to the shaft and is in mesh with the worm.

The invention discloses a dual-redundancy servo controller and a main-standby autonomous switching method thereof, and belongs to the technical field of electric servo control. The controller comprises a host machine and a standby machine; each of the host and the standby machine comprises a DSP (Digital Signal Processor), an FPGA (Field Programmable Gate Array), a hardware ID (Identity) identification module, a motor power driving IPM (Intelligent Power Module) and a generator tripping instruction module which are in signal connection; the DSP and the FPGA are respectively connected with an LDO (Low Dropout Regulator) power module; the FPGA is in communication connection with the control system; the motor power driving IPM is connected with the execution mechanism; the DSP processors of the host and the standby machine are in signal connection; and the switching instruction modules of the host and the standby are in signal connection. The invention discloses a main / standby autonomous switching method for a dual-redundancy servo controller, which adopts a DSP and an FPGA to cooperatively detect and process faults, improves the fault detection rate by 5%, and reduces the possibility that the output of an IPM module is not turned off by 20% when a fault occurs; three heterogeneous redundant generator tripping modes of hardware generator tripping, serial port generator tripping and heartbeat generator tripping are adopted, and the reliability of main and standby independent generator tripping is improved by 20%.

A radio-controlled model vehicle is provided including a model vehicle chassis, a vertically mounted motor, and a rear axle, configured to pivot in a vertical direction relative to the model vehicle chassis via one or more rear axle linkages. The rear axle also includes a vertical rear axle differential. The model vehicle further includes a gear reduction transmission including a spur gear comprising spur gear teeth offset from a spur gear center portion, and a pinion gear engaged with the spur gear teeth. In addition, the model vehicle includes a vertical, extendable driveshaft that has one end attached to the spur gear center portion and another end attached to the rear axle differential. Wherein the driveshaft extends through the spur gear and the motor powers propulsion wheels coupled to the rear axle via the gear reduction transmission, driveshaft and rear axle differential.

The invention discloses a multifunctional gearbox system adopting mechanical energy for power generation, which is characterized in that the mechanical energy for power generation comprises a mechanical wheel, a multifunctional gearbox and a generator; the mechanical wheel is formed by rotating a wheel shaft, a rim body and the rim body in a wheel groove; an intelligent braking device is mounted on the mechanical wheel; the multifunctional speed changing box is a gear speed changing box; the multifunctional gearbox has a driving motor power input function, a mechanical energy input function and a gearbox output function; the power supply of the driving motor is mains supply, and provides power for the multifunctional gearbox to start the mechanical wheel and the generator and maintain the rotation of the mechanical wheel.

A motor-driven cover device for covering and releasing a charging port arranged on the vehicle body of an electric vehicle with respect to a vehicle exterior. A cover plate can cover the charging port in a closed state, a motor can be operatively connected to the cover plate for driving an opening movement and a closing movement of the cover plate. A force transmission device can transmit a motor power for carrying out the opening movement and closing movement of the cover plate. A guide element can guide the cover plate along a movement path during the opening and closing movement of the cover plate. The cover plate can be moved along the vehicle body in a motor-driven manner during the opening and closing movement, the vehicle body covering the cover plate at least partially with respect to the vehicle exterior in an open state of the cover device.

Provided in the present invention are a hybrid excited axial brushless motor and a power generation method thereof. The hybrid excited axial brushless motor comprises a housing and a rotating shaft rotatably fixed in the housing. Seven parts, i.e. a first exciter stator, a first magnetic shunt ring rotor, a first permanent magnet rotor, an armature stator, a second permanent magnet rotor, a second magnetic shunt ring rotor and a second exciter stator are successively mounted in the housing in the axial direction, air gaps being provided between every two adjacent parts. The first permanent magnet rotor and the second permanent magnet rotor are symmetrically arranged and are both rotatably fixed to the rotating shaft; the first magnetic shunt ring rotor and the second magnetic shunt ring rotor are symmetrically arranged and are both fixedly connected to the rotating shaft; the first exciter stator and the second exciter stator are symmetrically arranged and are both fixedly connected to the housing. By means of an armature stator support, the armature stator is fixedly connected to the housing. The present invention achieves brushless hybrid excitation, and increases the power density and the power generation capacity of motors.

The present invention relates to a retarding control method and apparatus for a dual-motor vehicle, and an electronic device. The method comprises: acquiring the running state of a vehicle; on the basis of the running state, determining whether retarding is required; when it is determined that the vehicle requires retarding, controlling dual motors to respectively generate generation power and consumption power, the generation power being equal to the consumption power; and on the basis of the generation power and the consumption power, calculating and outputting a deceleration of the whole vehicle and controlling the retarding of the vehicle. By means of the present invention, a vehicle can be decelerated by means of the cooperation of two motors, and the power of the motor for generating generation power and the power of the motor for generating consumption power are equal at this time; the current output from a storage battery is 0 or the current on a bus of the storage battery is 0, so that the safety of the storage battery can be ensured; furthermore, since a negative torque is greater than a positive torque at this time, a vehicle braking deceleration function can be achieved, and the deceleration of the vehicle is controlled by adjusting the torque of the two motors.

The invention discloses a servo forging press transmission system and a control method, and mainly relates to the technical field of servo press transmission control. Comprising an energy storage mechanism, a control mechanism, a transmission mechanism, a flywheel and a working mechanism, the energy storage mechanism is electrically connected with the control mechanism, the control mechanism is in electrical connection and data connection with the transmission mechanism, and the transmission mechanism is in mechanical connection with the flywheel and the working mechanism. The servo motor has the beneficial effects that the power requirement of the servo motor can be greatly reduced, and meanwhile, the equipment cost is reduced.

The invention provides a path planning and energy management cooperative regulation and control method for a multi-agent unmanned aerial vehicle, and the method comprises the following steps: building a kinetic model based on a six-degree-of-freedom motion equation of a four-rotor unmanned aerial vehicle, and building an energy consumption model through combining the power of a motor and the discharge characteristics of a battery; sensing the state of the unmanned aerial vehicle in real time, defining a state space and an action space of a deep reinforcement learning algorithm, and generating navigation points by using the deep reinforcement learning algorithm; receiving a delivery request, and dynamically allocating tasks according to the state of the unmanned aerial vehicle by adopting a deep reinforcement learning algorithm; performing path planning on the unmanned aerial vehicle for task allocation by adopting an A * algorithm according to the navigation points in combination with the multi-dimensional cost, and obtaining an optimal path; dispersing the optimal path into a speed instruction, and dynamically adjusting the course angle and the flight speed of the unmanned aerial vehicle through a PID controller; through combination of deep reinforcement learning and an A * algorithm, the problems of path planning and energy management of the multi-agent quad-rotor unmanned aerial vehicle logistics distribution system in complex terrains are effectively solved.

An electric work vehicle includes a frame, a first motor to drive a first wheel, the first motor being supported by the frame and mounted on a first motor baseplate, and a second motor to drive a second wheel, the second motor being supported by the frame and mounted on a second motor baseplate. The first motor baseplate and the second motor baseplate are spaced apart from each other to define a space between the first motor baseplate and the second motor baseplate. A portion of a first motor power connection line and a portion of a second motor power connection line are located in the space between the first motor baseplate and the second motor baseplate. A first power receiving terminal of the first motor which is connected to the first motor power connection line is located at a rear portion of the first motor.

The invention discloses a distributed multi-agent chain transmission control system and method for a scraper conveyor. The transmission control system comprises a machine head intelligent body, a middle intelligent body, a machine tail intelligent body and a coal conveying part. The machine head intelligent body and the machine tail intelligent body only provide driving force of the motor, a chain tensioning system at the machine tail is omitted, and the space of a roadway is saved. The middle intelligent body comprises a motor driving system and a torsion tensioning system, the middle intelligent body can provide motor driving force, a chain tensioning force control system of the middle intelligent body is designed based on torsion and translation movement, and tensioning force control over a single-side chain or a double-end chain of the middle intelligent body can be achieved. The control method provided by the invention is a hierarchical control method based on multi-agent reinforcement learning, motor power balance and tension force control are combined, and stable coal conveying work of the scraper conveyor is ensured.

The invention discloses a magnetic drive pump with a heat dissipation mechanism, and relates to the technical field of magnetic drive pumps, the magnetic drive pump comprises a magnetic drive pump main body and a controller, the magnetic drive pump main body comprises a driving motor, a limiting assembly, a driving assembly and a pump body, the limiting assembly is connected with the driving motor and the pump body, the driving motor is matched with the driving assembly, and the driving assembly is connected with the controller. Heat dissipation openings are formed in the two side faces of the exterior of the driving motor correspondingly, heat dissipation assemblies are installed on the two side faces of the exterior of the driving motor correspondingly, the heat dissipation assemblies are matched with the heat dissipation openings, and the heat dissipation assemblies can cool the driving motor, so that when the device is used, heat emission of the driving motor can be accelerated through the heat dissipation assemblies, and heat dissipation efficiency is improved. When the driving motor of the device stops working, the controller can control the heat dissipation assembly to work, workers do not need to manually start the heat dissipation assembly to conduct heat dissipation on the driving motor automatically, and the rotating speed of the impeller can be increased or decreased through the adjusting assembly on the premise that the power of the driving motor is not changed.

The invention discloses an energy management method and device for a trailer, a storage medium and a program product, and the method comprises the steps: dividing any historical route through which the trailer travels, and obtaining sub-road sections of the historical route; determining the optimal motor power of each sub-road section according to the historical driving parameters corresponding to the sub-road sections of the historical route; according to the optimal motor power of each sub-road section and the fixed energy requirement of the trailer, different battery electric quantities corresponding to the optimal motor power in the historical route are calculated, and the corresponding relation between the optimal motor power and the battery electric quantities serves as an energy management strategy of the historical route; wherein when the driving route of the trailer is the historical route, the energy output of a battery in the trailer is controlled according to the energy management strategy corresponding to the historical route. According to the technical scheme, the technical effects that energy management is conducted on the battery of the trailer, and the energy of the battery is reasonably distributed are achieved.

The invention relates to the technical field of pan-tilt motor control, in particular to an intelligent control method for an unmanned aerial vehicle pan-tilt stability augmentation micro motor. Synchronously acquiring operation parameter time sequence data, image data, flight attitude data, environment wind speed, pan-tilt motor power and rotating speed of the unmanned aerial vehicle; constructing a state fluctuation index (based on operation parameter time sequence data) and a flight attitude deviation degree (fusing wind speed change and flight attitude deviation), and further generating a wind resistance capability index to evaluate the influence degree of the environment on the unmanned aerial vehicle; meanwhile, on the basis of the change characteristics of the parting attitude data, the compensation effect of the pan-tilt motor is quantified by combining the image fuzziness, the power of the motor and the rotating speed fluctuation; finally, PID parameters are dynamically optimized based on double indexes of the wind resistance and the compensation effect, scene adaptation of a pan-tilt motor control strategy is achieved, the stability of the unmanned aerial vehicle is improved in a complex wind field, and the image data quality is guaranteed.

The invention provides a dual-motor power assembly and an electric vehicle, a main shell of the dual-motor power assembly comprises two integrated shells and a middle shell, and speed reducer shells of the two integrated shells are fixed to the two side faces of the middle shell respectively. A dual-motor controller of the dual-motor power assembly comprises an electrical assembly and two power modules, a middle shell comprises a containing groove, the containing groove is recessed towards a gap between two speed reducers, the containing groove is used for containing the electrical assembly, the gap between the shells of the two speed reducers is fully utilized, and the power modules are arranged in the containing groove. The connecting plate of each integrated shell is used for enclosing part of the peripheral wall of the motor shell and part of the outer wall of the speed reducer shell of the integrated shell to form an electric control groove, each electric control groove is used for containing one power module, part of the motor shell and part of the speed reducer shell are reused to form the electric control groove, the structure of the integrated shell is more compact and stable, and the service life of the integrated shell is prolonged. And the space between the speed reducer shell and the motor shell is fully utilized, so that the size of the dual-motor power assembly is favorably reduced.

The invention discloses an electric motorcycle intelligent safety control system based on multi-sensor fusion. The system comprises a sensor module, a data processing unit, a target detection and classification module, a danger level evaluation module and a motor control module, and realizes all-weather and all-around environmental perception and target detection through data fusion of a millimeter wave radar, a visible light camera and an infrared camera. And the power output of the motor is intelligently regulated and controlled according to the detected danger level, so that the driving safety of the electric motorcycle is improved. The problem of limitation of a single sensor of an existing electric motorcycle safety system is solved, the stability and reliability of the system in a complex environment are improved, and early warning and intelligent prevention and control of potential risks are achieved.

The invention provides a dual-motor power assembly capable of preventing electric corrosion of bearings and an electric vehicle. The power assembly comprises two driving motors which are arranged adjacently. A shell of the power assembly comprises a middle partition plate, and each of two opposite end faces of the middle partition plate comprises a bearing groove and an oil guide structure. And each bearing groove is used for fixing a motor shaft of a driving motor through a motor bearing. The two ends of each oil guide structure are used for being fixedly connected with the groove bottom of one bearing groove and extending into a shaft hole of one motor shaft in the axial direction of the power assembly to convey cooling liquid or lubricating oil correspondingly. And a gap is formed between the outer peripheral surface of each oil guide structure and the inner peripheral surface of the shaft hole of one motor shaft and is used for accommodating one annular conductive structure. And each conductive structure is used for electrically connecting one motor shaft and one oil guide structure. According to the power assembly, the shaft current is conducted to the shell to be grounded through the structure that the middle partition plate supplies oil to the shaft holes of the motor shafts on the two sides so that the motor bearings can be protected.