13results about How to "Improve active safety" patented technology

The invention belongs to the technical field of new energy automobile steering systems, and discloses a new energy automobile electric hydraulic power-assisted steering system and a control method thereof.The system integrates a double-source redundant hydraulic power unit, a hydraulic adjusting unit, a multi-dimensional working condition sensing unit and an intelligent main controller; the multi-dimensional working condition sensing unit is integrated with a road adhesion coefficient detection module and a battery remaining capacity detection module. The control method is layered look-ahead matching control and is executed by an intelligent main controller in parallel: a power-assisted decision-making layer divides a three-stage power-assisted mode according to multi-dimensional perception information, and limits a steering angular velocity when power-assisted is enhanced on a low-attached road surface; the energy optimization layer predicts and implements prospective energy storage and pump rotating speed self-adaptive adjustment based on the intention of a driver; and the fault diagnosis layer realizes rapid fault identification and redundancy switching through multi-parameter collaborative diagnosis. The contradiction of high energy consumption, response delay and weak safety guarantee of a traditional system is solved, and power-assisted steering which is safe, energy-saving, fast in response and high in adaptability is achieved.

The invention relates to the technical field of motorcycle control, and discloses a motorcycle anti-skid control method and system, a motorcycle and a storage medium, and the control method comprises the steps: obtaining the multi-dimensional operation state parameters of the motorcycle, and carrying out the preprocessing and standardization, and obtaining a structured data set; based on the structured data set, vehicle body posture fusion data and road condition pre-judgment data are generated through a dynamic confidence fusion algorithm; identifying a style label of the current driver according to the vehicle body posture fusion data; based on the vehicle body posture fusion data, the style label and the road condition pre-judgment data, the initial dynamic model is adjusted to obtain a dynamic prediction model, and the dynamic prediction model outputs a vehicle body motion state prediction value at the next moment; and generating a control instruction set by using a double-loop control optimization algorithm according to the vehicle body motion state prediction value, the style label and the road condition pre-judgment data, and further controlling the motorcycle to advance, thereby realizing the high-reliability anti-sideslip control with self-adaption of the style and the road condition of the driver.

The invention provides a commercial vehicle drive-by-wire electro-hydraulic steering road feeling simulation control system and method, a steering resistance moment fusion estimation module fuses a steering resistance moment based on vehicle dynamics and a steering resistance moment based on steering dynamics based on an AKF algorithm, and is used for estimating the steering resistance moment of a commercial vehicle in a driving process; the compensation torque module is used for generating a friction compensation torque, a damping compensation torque and an inertia compensation torque, and introducing a roll compensation torque; the road feeling feedback torque generation module obtains the expected road feeling motor torque according to the torque output by each module, and a sliding mode controller (SMC) is adopted to carry out closed-loop control on the road feeling motor, so that the road feeling motor tracks the expected road feeling torque. According to the method, the estimation precision of the steering resistance torque can be remarkably improved, and more stable and reliable road feeling simulation is provided; by introducing the roll compensation torque, the roll posture of the vehicle body is converted into the torque change of the steering wheel which can be directly perceived by a driver, and the perception capability of the driver on the roll trend and the stable boundary of the vehicle is enhanced.

The application provides a power supply system of a driving motor of an electric vehicle and the electric vehicle, and the power supply system comprises: a first power supply; a first power supply circuit electrically connected with the first power supply, used for supplying power for a system basic chip (SBC) and supplying power for upper and lower bridges of the driving motor; a second power supply; a second power supply circuit electrically connected with the second power supply, used for supplying power for the lower bridge of the driving motor; the power supply voltage of the second power supply is higher than that of the first power supply; when the first power supply circuit fails, the second power supply circuit is used for supplying power for the lower bridge of the driving motor, so that the driving motor enters a short circuit state; when the second power supply circuit fails, the first power supply circuit is used for supplying power for the upper bridge of the driving motor, so that the driving motor enters a short circuit state. The scheme improves the active safety performance of the electric vehicle.

The invention relates to the technical field of vehicle control, in particular to an environment sensing method and system and a vehicle. The compensation method comprises the following steps: acquiring a reflected light signal reflecting the surface state of the windshield, a temperature measurement signal reflecting the surface temperature of the windshield and environment early warning information; calculating a reflection characteristic value based on the reflection light signal, calculating a temperature compensation factor based on the temperature measurement signal, and calculating an environment early warning information grade value based on the environment early warning information; performing weighted fusion on the reflection characteristic value, the temperature compensation factor and the environment early warning information grade value to generate an environment state judgment value; and comparing the environment state judgment value with a preset threshold value to generate a comparison result. According to the scheme, the technical problem that a traditional rainfall light sensor depends on a single light signal and is easily interfered by the environment to cause misjudgment is solved, and the environment sensing precision is improved.

The invention relates to the crossing field of mechanical engineering and intelligent control, discloses a ramp anti-slip cooperative braking method and system for a scooter, and aims to solve the problems that when an existing electric scooter is parked on a ramp or runs at a low speed, due to a single braking mechanism, slip is out of control, the braking distance is too long, and the rollover risk is caused. The method comprises the following steps: acquiring motion state, environment and user intention data in real time through a multi-source sensor fusion module; constructing a ramp kinetic model, and estimating a slope angle, a road adhesion coefficient and a centroid offset; the slope sliding risk is judged based on the safety threshold value set; and if the risk exists, the cooperative braking decision module generates a cooperative control instruction of front wheel motor braking, rear wheel mechanical braking and a gravity center adjusting actuator, and synchronously issues and executes the cooperative control instruction. Through cooperation of the triple execution mechanisms and model prediction control, high-response and high-stability anti-slip braking is achieved, and safety, comfort and energy recovery efficiency are all considered.

The invention discloses a steering column adjusting device and a vehicle. The steering column adjusting device comprises a supporting assembly, a telescopic assembly, a driving unit and a motion transmitting and restraining mechanism. When a vehicle intelligent control system sends out an inclination angle adjusting instruction and the driving unit drives the linear driving output end of the driving unit to generate displacement, the telescopic assembly is driven to slide relative to the supporting assembly, axial position adjustment of the steering column is achieved, and under the constraint of the motion transmission and constraint mechanism, the inclination angle of the steering column is adjusted. The linear driving output end synchronously drives the driving unit, the supporting assembly and the telescopic assembly to rotate around the supporting assembly relative to the rotating connecting point of the vehicle body, and inclination angle adjustment of the steering column is achieved. According to the device, rapid and accurate position reconstruction of the steering column in various driving modes is achieved, the requirements of automatic driving storage, active safety avoidance and the like are met, and the active safety performance and man-machine interaction experience of a vehicle in an intelligent network connection environment are improved.

The embodiment of the application provides a kind of grille lamp language control method, device, equipment, storage medium and product, comprising: receiving the driver facial expression image that in-car face recognition camera gathers;Based on preset facial expression analysis algorithm, driver facial expression image is analyzed, whether driver is in fainting state or coma state is judged;If it is determined that the driver is in fainting state or coma state, then send instruction to the horn controller of vehicle, to make horn controller control the horn of vehicle and send the preset frequency of distress sound signal;If it is determined that the driver is in fainting state or coma state, then send instruction to the lamp language controller, to make lamp language controller control light-emitting grid and switch to warning flash state, the method is used to reach the effect of improving vehicle active safety capability.

The invention discloses an intelligent safety monitoring and evaluation method for long-distance transport of precast beams, and particularly relates to the technical field of transport safety of precast beam engineering, comprising the steps of S1, risk prevention and control equipment installation, S2, simulation modeling, S3, risk evaluation and S4, management and control early warning measure execution. According to the method, zero-cost and destructive mass trial and error are carried out in a virtual environment, the effectiveness of multi-dimensional decision logic is verified, accurate hierarchical management and control from slight prompt to forced intervention and remote linkage is realized through execution links according to risk levels, the interference of invalid alarm on a driver is effectively avoided, and the safety of the driver is improved. And through the vehicle-road-cloud coordination and full-process data recording function, the three core pain points of easy overturning due to high gravity center, long vehicle body, large blind area and easy fatigue in long-distance transportation in the precast beam transportation process are thoroughly solved, and the active safety, accident prevention capability and later liability definition scientificity in the transportation process are remarkably improved.

This utility model discloses a deformation detection device for large wind turbine hoisting, belonging to the field of wind power equipment installation technology. It includes: multiple sensor units for detachable installation on the surface of the wind turbine component to be hoisted, with each sensor unit consisting of a housing and a strain gauge, a triaxial accelerometer, and a wireless data transmission module housed within the housing; a central processing and control hub for receiving and processing deformation data from the multiple sensor units, and communicating with the wireless data transmission module; and a monitoring and alarm terminal for displaying deformation data in real time and issuing alarm signals when a risk is detected, electrically connected to the central processing and control hub. This device, by arranging multiple sensor units on the wind turbine component, achieves full-process, real-time, and quantitative monitoring of structural deformation and vibration status of key parts during hoisting, solving the technical problem that traditional methods cannot dynamically grasp the actual stress condition of the component.

The invention provides a low-speed off-vehicle safety control method, device and equipment and a storage medium, multi-source driving sensing information of a vehicle and a vehicle key controller state are obtained, the off-vehicle intention of a driver is determined according to the multi-source driving sensing information and the vehicle key controller state, and when the off-vehicle intention is that the driver leaves the vehicle in the driving process, the vehicle is driven by the driver. The current speed of the vehicle is obtained, if the current speed of the vehicle is within a preset low-speed threshold range, a corresponding low-speed off-vehicle control strategy is matched according to the current speed of the vehicle, and vehicle parking operation is executed according to the corresponding low-speed off-vehicle control strategy; the vehicle leaving intention of the driver in the driving process is accurately recognized through the multi-source driving sensing information and the vehicle key controller state, when the vehicle is within the preset low-speed threshold value range, the corresponding low-speed vehicle leaving control strategy can be matched according to the current vehicle speed of the vehicle, the driver does not need to actively respond, the vehicle is automatically parked, and the driving safety is improved. And the active safety of the vehicle under the low-speed off-vehicle working condition is improved.

The invention provides a vehicle retarding system, a vehicle and a control method of the vehicle. The vehicle retarding system comprises a hydraulic torque converter, a retarding hydraulic pump, a proportional overflow, a variable speed pump, a sequence valve, a rotating speed sensor, a pressure sensor, a temperature sensor and a controller. The hydraulic torque converter is connected with the retarding hydraulic pump and the variable-speed pump through transfer gears, the retarding hydraulic pump provides braking power for a vehicle, and the variable-speed pump is mainly used for providing oil inlet flow for the hydraulic torque converter. An outlet of the retarding hydraulic pump is connected with a pressure sensor, a proportional overflow valve and a radiator; an outlet of the variable-speed pump is connected with a sequence valve and a gearbox operating valve, and a temperature sensor is arranged at an oil outlet of the hydraulic torque converter; an output rotating speed sensor is arranged on an output shaft of the hydraulic torque converter; the retarding hydraulic pump, the pressure sensor, the proportional overflow valve, the temperature sensor, the rotating speed sensor and the engine rotating speed sensor are all connected with the controller and controlled by a built-in program of the controller.

The application relates to an automatic drift planning and control method and device for emergency obstacle avoidance. The method describes the longitudinal, lateral and yaw responses of a vehicle under high side slip conditions by establishing a nonlinear vehicle dynamics model. Next, under the obstacle and safety constraint conditions, the MPPI algorithm is used to randomly sample the control sequence and generate an optimal candidate obstacle avoidance trajectory. Then, the optimal candidate trajectory is segmented and circularly arc-fitted, and a discrete reference drift sequence is constructed by combining and solving the drift equilibrium point. In order to reduce the equilibrium point solving time, the network output based on contrast learning is introduced as the numerical solving initial value. Finally, the vehicle model is locally linearized around each reference drift point, and the MPC controller is used to track the reference trajectory and the reference drift state, so that a complete planning-solution-control closed loop is formed, and the active safety capability and the maneuvering boundary of the automatic driving system under extreme conditions are improved.