2721results about "Cycle equipments" patented technology

The invention discloses an electric bicycle lithium battery data real-time monitoring and early warning system and method, and relates to the technical field of battery management, and the system comprises a multi-dimensional data collection module which is used for obtaining a multi-source heterogeneous data set of a lithium battery system; the collaborative feature extraction module is used for generating a comprehensive evaluation parameter set; the dynamic threshold generation module is used for constructing a self-adaptive early warning boundary model according to the comprehensive evaluation parameter set; the intelligent decision module is used for generating a hierarchical control instruction set based on a multi-objective optimization algorithm; and the cloud collaboration module is used for synchronizing the hierarchical control instruction set to the edge computing node and the cloud management platform, and triggering a multi-level linkage protection mechanism based on the game theory when the thermal runaway risk index is detected to exceed a first dynamic threshold value. According to the electric bicycle lithium battery data real-time monitoring and early warning system and method provided by the invention, the safety and reliability of a battery system are improved.

The invention belongs to the technical field of electric vehicles, and discloses an electric vehicle intelligent connection system based on Beidou positioning. Comprising the following steps: acquiring Beidou positioning data and driving state data; performing multi-source fusion correction on the Beidou positioning data, and performing trajectory optimization processing to obtain a two-wheeled electric vehicle position trajectory; performing feature extraction on the two-wheeled electric vehicle position track to generate a feature vector; performing space-time correlation analysis on the feature vectors to generate a driving behavior model; performing safety risk assessment on the driving behavior model to obtain a risk early warning index; performing grading processing on the risk early warning index to obtain a grading safety early warning strategy; acquiring environment data; performing semantic analysis on the environment data, and constructing a knowledge graph; performing dynamic obstacle recognition on the knowledge graph, performing path planning decision, and constructing an intelligent navigation strategy; the two-wheeled electric vehicle is controlled based on the graded safety early warning strategy and the intelligent navigation strategy, and the riding safety and the travel efficiency of the electric vehicle are remarkably improved.

One example provides a chassis for an electric snowmobile including a battery pack. The battery pack includes a battery pack housing defining an enclosure for housing a number of battery modules for powering an electric motor of the electric snowmobile, the battery pack housing having a length extending in a longitudinal direction of the snowmobile, the battery pack housing including a bottom surface. A pair of opposing side panels extends downwardly from and along at least a portion of the length of the battery pack housing, the opposing panels and at least portions of the bottom surface of the battery pack housing together forming a rear structure extending in the longitudinal direction of the electric snowmobile.

A method and system for controlling an electric bicycle are provided. The method may comprise: driving the electric bicycle; generating a deceleration torque command of a driving motor based on a moving distance of a pedal if a driver rotates the pedal installed in the electric bicycle in a reverse direction while the electric bicycle is driving; controlling a current supplied to the driving motor according to the deceleration torque command; and generating a deceleration torque of the driving motor by the current control.

The invention discloses a child electric motorcycle intelligent safety control system based on the Internet of Things, and relates to the technical field of electric motorcycle safety control. The problem of insufficient driving risk perception and control response of children is solved. The method comprises the following steps: firstly, fusing obstacle trajectory prediction, a road adhesion coefficient and an environment contour, constructing a dynamic risk vector field, and generating a collision probability and out-of-control coefficient fused risk assessment matrix; then, the matching degree of handle operation and vehicle body response is calculated through cross attention, and a third-level behavior label is output; according to the behavior level and the risk direction, anti-sideslip control or progressive power limitation is executed, and intervention characteristics are recorded; and finally, constructing a virtual training task by using parent operation data, extracting a personalized control threshold, dynamically optimizing system parameters, and realizing a child driving behavior-oriented closed-loop safety control system.

The invention provides a two-wheeled electric vehicle control system and method, and the system comprises a user side control platform which is used for detecting the operation of a user on a reverse turning handle, and generating a corresponding control instruction according to the pre-configured function setting; the communication module is used for bidirectionally transmitting instruction signals and vehicle state information in real time between the user end control platform and the vehicle end control system; and the vehicle end control system is used for receiving and analyzing the control instruction, judging the running or static state of the vehicle, executing kinetic energy recovery braking or driving mode switching in the running state, executing a reversing function or a self-defining function in the static state, and feeding back a vehicle execution result or vehicle state information through the communication module. The technical problems that in the prior art, the control function of a control terminal is single, the operation mode is not convenient enough, and the integration degree of the control terminal and vehicle functions is low are at least solved.

The invention relates to an electric scooter remote monitoring method, device and equipment based on the Internet of Things and a storage medium, and the method comprises the following steps: if a scooter state feature vector represents that an electric scooter is abnormal, carrying out the multi-modal feature mapping of the electric scooter based on the scooter state feature vector, and carrying out the remote monitoring of the electric scooter based on the multi-modal feature mapping; vehicle abnormal behavior mode characteristics are obtained; performing risk prediction on the electric scooter based on the vehicle abnormal behavior mode characteristics to obtain a risk grade division result; performing distributed processing and priority ranking on the risk grade division result through an edge computing gateway to obtain a control strategy instruction set; the control strategy instruction set is input into the remote motor controller to control the electric scooter, and the technical problems that a traditional management mode mainly depends on manual inspection and regular maintenance, the efficiency is low, the state of the scooter is difficult to monitor in real time, and potential safety hazards are difficult to find in time are solved.

A chainring assembly includes a chainring carrier adapted to be coupled to a crank arm. The chainring carrier is rotatable about a rotation axis and includes an outer periphery having carrier threads. A chainring structure includes an inner periphery having chainring threads and an outer periphery comprising a plurality of teeth. The inner periphery of the chainring structure is threadably engaged with the outer periphery of the chainring carrier. In one embodiment, a power meter device includes a body having a torque input section and a torque output section, with the torque output section including an outer periphery having threads adapted to be coupled to a chainring structure.

An electronic component for an electric bicycle is provided. The electric bicycle includes a transmission. The electronic component includes a processor configured to identify an operating condition of the electric bicycle, determine transmission losses of the transmission of the electric bicycle based on the identified operating condition, and control an assist motor of the electric bicycle based on the determined transmission losses.

A method for pairing a control device for an electric bicycle includes (i) connecting the control device to a first server, (ii) connecting the control device to an electric bicycle, (iii) providing a first bicycle ID and a second bicycle ID of the electric bicycle, (iv) providing pairing data from the first server on the basis of the first bicycle ID, (v) connecting the control device to a second server, and (vi) providing further pairing data from the second server on the basis of the second ID.

A vehicle is electrically connected to one or more removable accessories. The vehicle includes a user interface, an electrical power supply, a chargeable storage, and a controller. The controller may be configured to detect the one or more removable accessories that are connected to the at least one power outlet, determine an identifier associated with each of the one or more detected removable accessories, and cause the user interface to display one or more identifiers associated with the one or more detected removeable accessories.

An ice scratcher assembly, comprises a base having a first portion and a second portion, a coiled structure coupled to the first portion, the coiled structure being interconnected to a scratcher end via an arm, and a hand structure interconnected to the second portion by at least one joint having a first axis, wherein the at least one joint is configured to receive at least one rotating component that when coupled to the at least one joint provides a rotational axis that is colinear with the first axis of the at least one joint.

A modular electric wheel assembly. The assembly including a motor with a rotor in a rotary union with a stator. The motor of the brushless DC type and including a circular rotor rotating about a central axis and including a central hollow axle. The hollow axle configured for coupling with a removable energy source and / or an external energy source and including attachment structures for a plurality of attachments to enable riding by a user or configuration within a parent vehicle such as a bicycle or moped, or use as another machine type, such as a power tool or power generation machine. The rotor configured with a quick-change mechanism through a first ring configured to accept a plurality of removable wheel types and rotatable attachments, enabling a user to select a variety of unique wheel / tire types and configurations for a variety of applications.

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.

The invention relates to a waist hanging type three-wheel moped based on multi-sensor data fusion driving. Comprising a wearing waistcoat, a button buckle device, a traction device, a middle rotating device, a wheel leg device, a vehicle body fixing frame, an integrated control box and a driving rear wheel. The wearable waistcoat is connected with the middle rotating device through a button buckling device and a traction device, and two driving rear wheels are symmetrically arranged on the two sides of the bottom of the vehicle body fixing frame; an inertial measurement unit IMU is arranged on the wearing waistcoat, a wheel leg driving motor is provided with an absolute value encoder, a wheel leg knee joint torque sensor is arranged in a wheel leg device, a driving rear wheel torque sensor is arranged on an inner side shaft of a driving rear wheel, and a rotating speed encoder is arranged between a driving rear wheel shell and the driving rear wheel torque sensor. The control flexibility is improved, interference to human body movement is reduced, the wheel speed of the driving rear wheel can be adjusted in real time along with the human body movement, the wheel leg driving joint angle is adjusted in real time according to the road condition change, damage to the human body is reduced, and adaptability is improved.

The invention discloses an integrated electric motorcycle driving system which comprises a motor shell, a controller, a motor and a speed reducer are arranged in the motor shell, the controller and the speed reducer are located at the two ends of the motor respectively, and the inherent defects of a traditional electric motorcycle driving system are overcome by deeply integrating independent subsystems together. The motor has the advantages of high power density, low noise, small torque fluctuation, flexible configuration and the like, and meets the market demand.

An electrical device for a rotational device of a human-powered vehicle comprises a force sensor, a position detector, and an electronic controller. The force sensor is configured to measure a force applied to the rotational device. The position detector is configured to detect a rotational position of the rotational device. The electronic controller is configured to adjust a measurement value of the force sensor based on the rotational position detected by the position detector.

A series hybrid / human-powered vehicle includes a generator rotatably coupled to a crankset with foot or hand pedals, one or more motors electrically coupled to the generator and mechanically coupled to vehicle wheels, and a user input resistance device providing supplemental counter-torque to the crankset. A controller with a processor and memory executes instructions to: determine an optimal range of pedaling cadence and torque for a user, calculate a generator counter-torque at the optimal cadence, and set the user input resistance device to adjust the overall counter-torque, which comprises generator and supplemental counter-torques, to maintain it within the optimal range. A stationary fitness machine may incorporate similar components to enhance exercise performance.

A time display system for an electrically assisted vehicle includes a display and at least one processor configured or programmed to acquire time information representing information on a time that is output by a battery pack that supplies electric power to an electric motor that generates drive power to cause the electrically assisted vehicle to travel, and to cause the display to display a current time based on the time information.

A detection system comprises a load sensor and electronic controller circuitry. The load sensor is configured to obtain load information relating to a load applied, while a rider rides a human-powered vehicle, to a wheel of the human-powered vehicle. The electronic controller circuitry is configured to obtain, based on the load information, motion information relating to a motion of the human-powered vehicle.

In one embodiment, a method includes determining vibration signals detected by a personal mobility vehicle, determining that the vibration signals correspond to an unexpected event occurred to the personal mobility vehicle, generating a feedback signal corresponding to the unexpected event, and transmitting the feedback signal corresponding to the unexpected event.

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.

An electric power assist device for bicycles includes: a dynamic brake controller configured to stop supply of a current from a battery to an electric motor and bring a dynamic brake circuit to an ON state when a crank rotational angle is within one or more predetermined crank rotational angle ranges; a pedaling force estimator configured to estimate a pedaling force put on pedals of a bicycle on a value of reverse current caused by a counter electromotive force and detected by a current sensor when the dynamic brake circuit is in the ON state; and a motor drive controller configured to control the electric motor based on the pedaling force estimated by the pedaling force estimator.

The present invention is an AI vehicle with its control system, which comprises a motorcycle or an automobile, an AI device, multiple image acquisition devices, a display device, a heat dissipation device, a power supply management device, and a three-button control switch, which may be mounted on a regular motorcycle for control of license plate image acquisition, plate detection, computation control of license plate number recognition, and control of power supply management, to achieve effects of license plate number recognition and active detection when the AI motorcycle is ridden for patrol, thus achieve effects of better investigation and crime prevention mobility; further, the AI vehicle may acquire license plate number and parking information, followed by being uploaded to a roadside parking billing computing center for calculating parking fees to achieve the effect for roadside parking billing and tolling.

To provide a radiator unit for a saddle-riding vehicle or ATV, having advantage in suppressing the short circuit flow of air and improving radiation performance.SOLUTION: When viewed from a lower side, which is a direction orthogonal to a direction in which a radiator 22 and a radiator fan 24 are aligned, a short circuit flow prevention plate 26 covering a gap S1 between the radiator 22 and the radiator fan 24 is provided on the radiator 22. At a place where the short circuit flow prevention plate 26 is provided, air flow, that is, short circuit flow, passing through the gap S1 between a dorsal surface 22B of the radiator 22 and the radiator fan 24 from around the radiator 22 and flowing into the radiator fan 24, can be prevented, which is made advantageous for increasing an air volume passing through the radiator 22 when a vehicle is stopped or traveling at low speed and improving radiation performance of the radiator 22.SELECTED DRAWING: Figure 4

The invention relates to the technical field of riding safety monitoring, in particular to a riding monitoring method, device and system and an electric vehicle. The method is applied to the electric vehicle and comprises the steps that physical sign information of a user in a riding task is obtained, and the physical sign information at least comprises the body temperature, the heart rate and the breathing frequency; vehicle state information of the target vehicle is obtained, the riding behavior level of the user is determined based on the vehicle state information, and the behavior level represents the intense degree of riding the target vehicle by the user; the vehicle state information at least comprises a vehicle body inclination angle, a driving speed, braking times and a braking speed; the riding risk level of the user is determined based on the physical sign information and the behavior level, an early warning instruction is generated when the riding risk level meets the set requirement, and the early warning instruction is used for conducting risk prompting on the user and / or conducting deceleration on the target vehicle. By the adoption of the scheme, the safety of a user in the riding process can be improved.

An electrical device of a rotational device for a human-powered vehicle comprises a wireless communicator and an electronic controller. The wireless communicator is configured to wirelessly communicate with an additional electrical device. The electronic controller is electrically connected to the wireless communicator to wirelessly communicate with the additional electrical device via the wireless communicator. The electronic controller is configured to control the wireless communicator to execute pairing in response to a reverse rotation of the rotational device.

A temperature sensor holder with which it is possible to easily mount a temperature sensor without giving damage on an object to which the temperature sensor is mounted, etc., includes a sensor holding portion that holds the temperature sensor; a holder engagement portion that is to be engaged with an object; and an arm having a curved portion that connects the sensor holding portion and the holder engagement portion. A temperature sensor mounting method for easily mounting the temperature sensor to a motor without giving damage on the motor includes engaging the holder engagement portion with an insulator due to elastic force of the curved portion of the arm of the temperature sensor holder, and at the same time, bringing the temperature sensor into pressure contact with a stator coil by the sensor holding portion to mount the temperature sensor holder to the insulator.

The invention provides an electric two-wheeled vehicle lane departure detection and early warning method and related equipment, and the method comprises the steps: obtaining the driving state information and road environment information of a vehicle, the driving state information comprises inertial motion parameters collected by an inertial sensor, the road environment information comprises road image data acquired by a camera and target point cloud data acquired by a millimeter wave radar; performing time synchronization and space coordinate calibration on the driving state information and the road environment information, and constructing a fusion data frame under a unified space-time coordinate reference system; state characteristic parameters of the vehicle are extracted based on the fused data frame, and a state vector is constructed; inputting the state vector into a deviation judgment model for analysis, and judging whether the vehicle has lane deviation or not; and if lane departure exists, early warning prompt is executed. The lane departure detection method and the lane departure detection device are suitable for sensing requirements of the two-wheeled vehicle in an unstructured road environment, and accuracy and robustness of lane departure detection on a two-wheeled vehicle platform with low computing power and low cost are improved.