1680results about "Electrodynamic brake systems" patented technology

The invention relates to the technical field of automobile brake control, in particular to a self-adaptive brake kinetic energy recovery control method and system based on multi-sensor fusion. Tire wear and road surface feature data are collected through a multi-source sensing fusion unit, and a tire wear coefficient and a road surface friction coefficient are generated through an intelligent decision calculation unit; the method comprises the following steps of: integrating the nonlinear correlation of the multi-source sensing fusion unit and the self-adaptive control execution unit through a rule and data fusion algorithm, outputting a comprehensive friction coefficient, and dynamically adjusting the braking kinetic energy recovery force and response time by the self-adaptive control execution unit according to the comprehensive friction coefficient. The system comprises a multi-source sensing fusion unit, an intelligent decision calculation unit, the self-adaptive control execution unit and a closed-loop feedback calibration unit. The closed-loop unit corrects data deviation through cross validation of the laser radar and the motor torque inversion model, the problems of poor working condition adaptation and unreliable data are solved, and the kinetic energy recovery efficiency, the braking safety and the driving smoothness are improved.

The invention discloses an electric wheel dumper energy-saving control method and system based on braking energy recovery, and relates to the field of electric vehicle energy-saving control, and the method comprises the steps: calculating an energy fluctuation value through collecting wheel rotation speed deceleration, building a cross-cycle energy accumulation curve, and generating an energy prediction feature map; establishing a double-loop energy mapping relation according to the energy prediction feature map, dividing the double-loop energy mapping relation into a quick response path and an optimization calculation path, and outputting a time-sharing braking strategy; the torque switching process is compensated, and a smooth braking instruction is output; generating a segmented charging power curve in combination with the maximum allowable charging power; carrying out segmented adjustment on the charging current to generate a charging control signal and calculating real-time charging conversion efficiency; and the charging conversion efficiency value is distributed to the dual paths according to the time weight, and the time-sharing braking strategy is adjusted. By establishing a double-loop control strategy of braking energy prediction and charging efficiency optimization, the energy recovery efficiency is improved, and collaborative optimization of the braking and charging processes is realized.

The invention provides a new energy vehicle fault diagnosis and prediction method based on deep learning, and the method comprises the steps: collecting the brake intensity sudden change data in the operation of a new energy vehicle in real time, and determining the trend and amplitude range of the current brake intensity change according to the brake demand signals under various working conditions in combination with the historical fault mode record analysis, thereby achieving the fault diagnosis and prediction of the new energy vehicle. Obtaining a preliminary braking demand characteristic value; according to the braking demand characteristic value, calling a pre-established deep learning prediction model, analyzing the relevance between a historical fault mode and current braking strength sudden change data, calculating the probability distribution of feedback energy anomaly detection, and determining the potential fault risk level of the new energy vehicle; and for the potential fault risk level, acquiring real-time data of surface temperature scanning of the brake disc, identifying a thermal load area, analyzing temperature distribution uniformity, judging whether a key area exceeds a preset threshold value or not, and obtaining a thermal load state evaluation result.

The application discloses an intelligent electric chassis configuration and a fault-tolerant control method of the intelligent electric chassis, and relates to the technical field of electric chassis. The chassis configuration comprises a front axle centralized motor drive assembly, a rear axle distributed motor drive assembly, a front axle electronic hydraulic brake system, a rear axle electronic mechanical brake system and a chassis domain controller. The front axle centralized motor drive assembly comprises a centralized drive motor, a front wheel speed reducer and a drive half shaft which are sequentially connected. The rear axle distributed motor drive assembly comprises a left rear wheel end drive motor and a left rear wheel speed reducer which are sequentially connected, and a right rear wheel end drive motor and a right rear wheel speed reducer which are sequentially connected. The front axle electronic hydraulic brake system comprises a first main brake unit and a redundant brake unit. The rear axle electronic mechanical brake system comprises a second main brake unit. The chassis domain controller is used for controlling the centralized drive motor, the left and right rear wheel end drive motors, the first main brake unit, the redundant brake unit, the second main brake unit, a front axle steer-by-wire system, an intelligent suspension system and an intelligent tire. The application can improve the chassis safety and fault-tolerant capability to support high-level automatic driving functions.

The embodiment of the invention provides a vehicle low-temperature heat management control method and device, a vehicle and a storage medium. The method comprises the following steps that the temperature of the environment where the vehicle is located, the module temperature of a power battery and the maximum allowable charging power are obtained; based on the environment temperature, the module temperature and the maximum allowable charging power, the vehicle is controlled to enter a low-temperature heat management working condition, and the braking energy recovery torque of the vehicle is determined according to the motor rotating speed and the maximum allowable charging power; based on the braking energy recovery torque and the motor rotating speed, the driving motor is controlled to execute the braking energy recovery action, meanwhile, the working efficiency of the driving motor is adjusted to generate heat, and the cooling system heats the power battery through the heat. On the premise that the safety of the battery is guaranteed, optimization of braking torque limitation is achieved, and the problems that in the related technology, due to the fact that the motor braking torque in the low-temperature environment is strictly limited and excessively depends on a mechanical braking system, the energy utilization efficiency of the whole vehicle is reduced, and abrasion of the braking system is aggravated are solved.

The invention discloses an AGV safety control method for intelligent warehousing, and relates to the technical field of intelligent warehousing, and the method comprises the following steps: constructing a global three-dimensional load distribution diagram of an automatic guided vehicle in real time through the fusion of a laser radar and an inertial measurement unit, and outputting a mass distribution matrix; based on the mass distribution matrix, millimeter wave Doppler tomography is superposed, the barycentric coordinates are dynamically corrected, and a corrected mass distribution matrix is obtained; and inputting the corrected mass distribution matrix into a braking dynamic prediction engine, and generating a prediction curve of an adaptive braking distance and braking response time in combination with online inversion estimation of a ground friction coefficient. Through the digital twin simulation and micro-pulse pre-braking strategy, the risk of inertial collision and cargo overturning is effectively reduced, a storage scheduling system is controlled in parallel, path reconstruction and driving priority dynamic adjustment are achieved, and global safety and efficient scheduling of intelligent storage are guaranteed.

The invention discloses a braking energy distribution method and system based on braking noise prediction and electronic equipment. The method comprises the steps that braking noise time sequence data, vehicle speed time sequence data, hydraulic braking torque time sequence data and pedal travel time sequence data of a current vehicle are obtained; inputting the braking noise time sequence data, the hydraulic braking torque time sequence data and the pedal travel time sequence data into a pre-trained braking noise prediction model to obtain a braking noise prediction value of the current vehicle after a preset time step; determining a corresponding braking noise threshold value according to the current working condition and the current driving mode of the current vehicle; and when the braking noise prediction value is larger than the braking noise threshold value, the braking energy distribution proportion is adjusted, so that the energy recovery torque is increased, and the hydraulic braking torque is reduced. According to the method, the braking noise of the vehicle is maintained below the threshold value through dynamic distribution of the braking energy, interference to users in the vehicle is avoided, the driving comfort of the vehicle is improved, and the method can be applied to the technical field of vehicle control.

The invention discloses a redundant braking control method of an automatic driving vehicle and a storage medium, which are applied to a vehicle control unit. According to the method, when it is detected that an automatic driving module, anti-collision early warning or remote monitoring triggers a braking demand, the target deceleration is calculated in combination with the vehicle speed and the obstacle distance. By collecting the actual acceleration, the parking air chamber air pressure and the motor torque, the total braking force is estimated, the electronic parking braking force is separated out, and then the road adhesion coefficient is calculated. And in the redundant braking mode, according to the target deceleration, the attachment condition and the capacity upper limit of the two systems, performance indexes including deceleration deviation and a parking penalty term are constructed, and the target motor deceleration and the target electronic parking deceleration are obtained through joint distribution. And finally, the target parking deceleration is converted into target air pressure through the deceleration air pressure mapping table containing the online correction amount, the air pressure is adjusted through closed-loop control, and accurate and stable redundant service braking is achieved.

The invention relates to the technical field of vehicle braking, and discloses a drive-by-wire hybrid braking method and device, equipment and a medium. A braking instruction of a target vehicle is obtained, braking demand analysis is conducted according to the braking instruction, and braking demand torque is obtained; the target vehicle is at least provided with an energy recovery system, a front wheel hydraulic braking system and a rear wheel running and parking integrated system; when the target vehicle is in other working conditions, the braking demand torque is distributed to the energy recovery system or the energy recovery system and the front wheel hydraulic braking system; and when the target vehicle is in the preset braking working condition, the braking demand torque is distributed to the energy recovery system, the front wheel hydraulic braking system and the rear wheel running and parking integrated system according to the braking distribution proportion. The rear wheel running and parking integrated system has the beneficial effects that the rear wheel running and parking integrated system is used for replacing a hydraulic braking system, braking is carried out through cooperative work between the braking systems, the complexity of the braking systems is optimized on the basis of ensuring the braking safety of the vehicle, and the fault probability of the braking systems is reduced.

The invention relates to the technical field of electric vehicle driving control, and particularly discloses a driving control system and method for intelligent transfer equipment. The driving control method is used for solving the driving control problems of large current tracking error, high torque ripple and noise vibration, unstable regeneration and poor low-speed micro-climbing and ramp restarting response caused by sampling and inverter time lag, parameter drift, bus fluctuation and degradation faults of a six-phase permanent magnet synchronous motor of intelligent transfer equipment under the complex working condition of a port. The system comprises an AT-AGV, a PMSM, a six-phase inverter, a DC bus, a controller and a planning module. Through midpoint sampling, two-beat equivalent time-delay modeling and limited deadbeat voltage optimization, and in combination with xy harmonic compensation, online parameter identification, three-section regeneration trajectory and fault-tolerant SVPWM, robust stability and high-efficiency recovery under low-overshoot rapid torque establishment, low ripple and low NVH, bus fluctuation and fault are realized; accurate current tracking and smooth traction are realized during micro-crawling and ramp restarting.

The embodiment of the invention relates to the technical field of vehicles, and discloses a vehicle braking control method and device and a vehicle. The vehicle braking control method comprises the steps that under the condition that the vehicle is in a sliding state, an electric braking correction coefficient is determined based on road surface information and speed information of the vehicle; the road surface information is used for representing parameter values of road surface parameters influencing the braking performance; based on the electric braking correction coefficient and the maximum allowable electric braking torque of the sliding working condition of the braking motor, the target electric braking torque of the vehicle is determined; determining a hydraulic compensation torque based on a total braking torque of the vehicle and the target electric braking torque; and brake control is conducted on the vehicle based on the target electric brake torque and the hydraulic compensation torque. By means of the technical scheme, the target electric braking torque can be accurately matched with the road surface information and the speed information of the vehicle, and therefore the braking control accuracy is improved.

Systems and methods are provided for an electric drive unit. The electric drive unit includes a first electric machine and a second electric machine, a first transmission coupled to the first electric machine, a second transmission coupled to the second electric machine and a disconnect. The disconnect is arranged between a shaft coupled to the first transmission and a shaft coupled to the second transmission and configured to mechanically couple the first transmission and the second transmission.

The invention discloses a new energy automobile endurance mileage increasing system and method based on multi-mode energy collaborative management. The system comprises a multi-mode energy input module which is used for converting solar energy into direct current electric energy through a photovoltaic array and integrating power battery energy and hub motor kinetic energy recovery energy; the predictive management module is used for acquiring front road condition information through a V2X technology and predicting an energy consumption curve based on a deep learning model; the dynamic weight distribution module is used for calculating photovoltaic, battery and kinetic energy recovery weight coefficients through a dynamic weight distribution algorithm according to the real-time vehicle environment information and the prediction result; and the energy distribution control module is used for carrying out weighted distribution on the multi-modal energy based on the weight coefficient and outputting total available energy and a control signal so as to drive electric equipment or charge a battery. According to the invention, the problem of dynamic energy distribution during multi-energy coupling is solved, and the purposes of improving the endurance of urban roads, improving the endurance of expressways, reducing the increment cost of the system and being compatible with a 400V / 800V platform are achieved.

The invention provides a cooperative control method and system for an electric trailer and a main vehicle and a vehicle, and relates to the technical field of new energy vehicles and intelligent control. The method comprises the steps that the states of a main vehicle and an electric trailer are obtained, and when the states meet preset state conditions, a driving mode is entered; in the driving mode, the main vehicle electric driving system and the electric trailer electric driving system are controlled to output driving torque based on the torque required by a driver and a torque distribution strategy; acquiring a braking request signal and mode switching information; if the braking request signal indicates that the multi-stage energy recovery switch is pressed down or the brake pedal is stepped down and the mode switching information meets a first switching condition, switching to a braking mode; if the mode switching information meets a second switching condition, switching to a driving mode; and in the braking mode, the main vehicle electric driving system and the electric trailer electric driving system are controlled to conduct braking energy recovery based on the required braking torque and the allowable recovery power of the battery. The control efficiency and the system adaptability are improved.

A working vehicle includes an electric storage device; a traction motor configured to propel the working vehicle and to generate electrical energy when braking; a hydraulic system including a hydraulic pump driven by a load motor, a hydraulic actuator and a control valve; and a control system. The control system is configured to determine a state of charge of the electric storage device; induce additional load on the hydraulic system by directing the load motor to drive the hydraulic pump and actuating the control valve to direct flow of hydraulic fluid to the hydraulic actuator when the state of charge is at or above a predetermined threshold.

The method is applied to the fields of train regenerative braking energy utilization, stray current and rail potential treatment and the like in electrified rail transit, especially urban rail transit. The invention provides a direct-current traction power supply system capable of reducing the energy storage capacity of a super capacitor of urban rail transit, which is combined with a super capacitor energy storage device of the urban rail transit and supplies power to a power electronic device for treating stray current and rail potential by utilizing regenerative braking energy of a train. The super-capacitor energy storage device has the following advantages that on one hand, the energy storage capacity of the super-capacitor bank in the super-capacitor energy storage device between train braking and traction can be reduced, and the utilization efficiency of regenerative braking energy stored by the super-capacitor bank is improved; on the other hand, the problems of stray current, rail potential and the like in the system can be solved from the source, and the power supply distance of a traction substation is remarkably increased. Therefore, the direct-current traction power supply system is of great significance to green and safe operation of urban rail transit.

The present disclosure relates to a brake system and a method of controlling the same, the brake system including first and second wheel speed sensors respectively installed in wheels of a vehicle, electrohydraulic brakes respectively installed in front wheels of the vehicle, electromechanical brakes (EMBs) respectively installed in rear wheels of the vehicle, and a first controller configured to perform braking control on the electrohydraulic brakes and the electromechanical brakes based on a first front wheel speed signals outputted from the first wheel speed sensors installed in the front wheels, in which when a failure of the first wheel speed sensors installed in the front wheels are identified, the first controller performs the braking control on the electrohydraulic brakes and the electromechanical brakes based on the first rear wheel speed signals outputted from the first wheel speed sensors installed in the rear wheels.

The invention discloses a regenerative braking compound control method for an electronic mechanical braking system, and relates to the technical field of electronic mechanical braking. The defects in the prior art are overcome. The method specifically comprises the following steps: acquiring vehicle state information in real time; calculating a total required braking force and a current required deceleration areq based on a vehicle brake pedal signal; according to the vehicle state information, the currently available maximum regenerative braking force of the regenerative braking system is calculated in real time; calculating a dynamic distribution coefficient K1 based on the required deceleration, the vehicle speed, the wheel sliding rate and a vehicle stability control signal; carrying out braking force distribution according to a preset multi-level threshold strategy; based on the braking force distribution result, regenerative braking target force and compensation braking force instructions of all wheel ends of the EMB are generated; and feedforward-feedback composite control logic is established. The problems that in the composite braking process, braking force distribution is not smooth, switching is paused, and the energy recovery efficiency is not high are effectively solved.

An energy dissipation system for a vehicle, the energy dissipation system comprising an air compressor comprising a compressor inlet configured to receive ambient air, an electric motor comprising a rotor having a rotor shaft operatively connected to a compressor shaft of the air compressor, power electronics arranged in a power electronics housing, the power electronics being electrically connected to the electric motor and configured to feed electric power to the electric motor, and an air flow channel through which the ambient air is configured to be fed to the compressor inlet, the air flow channel being formed by an inner elongated tube member and an outer elongated tube member, wherein the electric motor is housed within the inner elongated tube member and attached to a first inner surface, and wherein the power electronics housing is attached to a second outer surface.

A trailer control box may receive a wireless message from a controller of the tractor. The trailer control box may validate and authenticating the message. The trailer control box may control an emergency-brake valve based on the message when the message is an emergency-brake command. The trailer control box may control a service-brake valve based on the message when the message is a service-brake command. The trailer control box may control at least one switch to operate trailer lights based on the message when the message is a light command. In certain embodiments, autonomous-capable socket is mounted to a trailer and includes: a chamfered outer casing, a plurality of electrical connectors, a service-brake air aperture, and an emergency-brake air aperture. The autonomous-capable socket required a single autonomous connection by an autonomous tractor.

The object of the present invention is to achieve redundancy of a power supply function by a simple configuration, to ensure operational continuity in case of failure. A power grid (1) comprises: a first power supply path (20-1) that is connected to a main engine-driving power source (100-0) of a vehicle via a power conversion device (101) and to loads (40-1, 41, 42-1) ; and a second power supply path (20-2) that is connected to a power source (100-2) different from the main engine-driving power source (100-0), to loads (40-2, 41, 42-2), and to the first power supply path (20-1) via a switch SW0. The switch SW0 is closed when the first power supply path (20-1) and the second power supply path (20-2) are normal, and is opened when the first power supply path (20-1) or the second power supply path (20-2) is abnormal.

The invention discloses a narrow-body self-walking operation platform battery pack charging control method, and belongs to the technical field of battery management. Operating parameters of a lithium battery pack and working condition parameters of a working platform are collected in real time, corresponding charging stages are selected according to charge states and working condition types, and the charging process is divided into five stages including pre-charging, quick charging, optimized charging, equalizing charging and floating charging maintenance. A three-dimensional temperature field model is established based on multi-point temperature data, and a comprehensive temperature compensation coefficient is calculated to accurately adjust the charging current. The state of charge and the state of health of the battery are jointly estimated by adopting extended Kalman filtering and a long-short term memory neural network, and the estimation precision is improved through Bayesian fusion. The inclination angle and vibration acceleration of the platform are monitored in real time, and charging is adjusted or stopped according to safety conditions. The charging time is remarkably shortened, the charging efficiency is improved, the battery temperature rise is reduced, the battery cycle life is prolonged, and meanwhile the energy utilization efficiency and safety of the operation platform are improved.

A computer system (17) comprising processing circuitry (18) configured to: determine operating windows (140, 141, 142) of a battery pack (114) of an electric vehicle (1) defined by its state-of-charge, SOC, according to default predetermined SOC limits (140), extended predetermined SOC limits (142) and limited predetermined SOC limits (141); determine predictive energy or power utilization of the battery pack (114) for a predetermined route (301); determine a health condition of the battery pack (114); and in response to the determined health condition of the battery pack (114) and the determined predictive energy or power utilization of the battery pack (114) for the predetermined route (301), set a fixed operating window (140, 141, 142) of the battery pack (114) according to either the limited predetermined SOC limits (142), the default predetermined SOC limits (140), or the extended predetermined SOC limits (141).

The invention provides a vehicle sliding energy recovery method and device, equipment and a storage medium, and the method comprises the steps: obtaining vehicle following parameters of a target vehicle when it is detected that the target vehicle enters a sliding state; the car following parameters are input into a strategy network model used for determining the target regenerative braking torque of a target vehicle motor, so that the target regenerative braking torque output by the strategy network model is obtained; and controlling the target vehicle motor to output the target regenerative braking torque so as to recover the vehicle sliding energy. By adopting the technical scheme provided by the invention, collaborative optimization of the sliding energy recovery efficiency and the driving smoothness is realized.

The invention discloses an energy recovery control method and system for a vehicle, the vehicle, a computer readable storage medium and a computer program product, and the method comprises the steps: obtaining the road condition information and traffic information around the vehicle in the driving process of the vehicle; wherein the road condition information comprises road condition information of the vehicle before the current driving moment and road condition information of the current driving moment; based on the road condition information and the traffic information, predicting a braking demand level in a preset period to determine corresponding energy recovery intensity; and outputting an energy recovery instruction based on the energy recovery intensity to control the vehicle to perform energy recovery at the starting moment of the preset period. By means of the technical scheme, the problems that an existing vehicle is single in energy recovery strategy and lack of pre-judgment capacity can be solved, energy recovery control in advance is achieved by actively predicting the braking requirement, the energy recovery efficiency is remarkably improved, and the braking comfort is improved.

A locomotive has DC or AC traction motors, powered by a hydrogen fuel cell, and optionally other sources such as regenerative braking. The traction motors of the locomotive may be connected to a set of independent DC choppers or AC inverters, linked via a common DC bus, configured to regulate power from the one or more power sources. A manager module, among other functions, may receive inputs and signals to coordinate delivery of electricity from the sources to the motor. A method for retrofitting a legacy locomotive may include removing a generator and a control apparatus configured for diesel fuel, and installing a kit of apparatus configured to be powered by a hydrogen fuel cell. A railway system for use by locomotives powered by hydrogen has one or more hydrogen-generation stations deployed near a track of the railway system.

The application provides a vehicle control method and device, a storage medium and a vehicle, and belongs to the technical field of vehicles. In the case where the brake energy recovery function of the vehicle is in an activated state, a first available brake energy recovery capability value is input into a first prediction model, so that a second available brake energy recovery capability value at a second time can be predicted. Then, based on the first available brake energy recovery capability value, the second available brake energy recovery capability value and a brake pedal opening degree, a first brake energy recovery torque request value at a first time is determined, and in combination with a first coasting energy recovery torque, a first motor actual execution torque is obtained. Finally, based on the first motor actual execution torque and a second brake energy recovery torque request value at the second time, it is determined whether to disable the brake energy recovery function at the second time, so that the influence of CAN signal delay can be eliminated to a certain extent, and the brake energy recovery function can be prevented from being abnormally disabled.

The present invention relates to a resistor unit (1, 1', 1''), comprising: at least one electrical resistor (10), at least one fluid-carrying cooling unit (30) on and / or in which at least part of the at least one electrical resistor (10) is arranged, at least one detection unit (3, 4, 5, 6, 7, 71, 72) and at least one evaluation device (40) that can be operatively connected to the at least one detection unit (3, 4, 5, 6, 7, 71, 72), the at least one detection unit (3, 4, 5, 6, 7, 71, 72) being configured to measure a variable that represents the temperature (TR) of the at least one electrical resistor (10) per se or in combination with a further detection unit (3, 4, 5, 6, 7, 71, 72) and that relates to an electrical property of the at least one electrical resistor (10) and / or to a property of a fluid flowing through the fluid-carrying cooling unit (30). The present invention additionally relates to a brake system and to a vehicle having such a resistor unit and to a method for estimating a temperature of the fluid-cooled electrical resistor.

The invention discloses a braking energy recovery self-adaptive control system based on a multi-agent cooperative game. The braking energy recovery self-adaptive control system comprises a human-vehicle-road comprehensive information acquisition module, a braking mode judgment module, a target braking force calculation module and a braking mode smooth transition module. The human-vehicle-road comprehensive information acquisition module acquires driver information, vehicle information and road environment information in real time; the braking mode judgment module calculates a braking energy recovery tendency characterization coefficient and compares the braking energy recovery tendency characterization coefficient with a threshold value, and whether a braking energy recovery mode is started or not is judged in a self-adaptive mode; the target braking force calculation module divides the braking system into a plurality of independent intelligent agents according to axles, and the motor braking force and the friction braking force of all the intelligent agents are distributed in a collaborative optimization mode through a multi-agent cooperative game algorithm; the braking mode smooth transition module adopts a smooth transition function to dynamically adjust the proportion of the motor braking force to the friction braking force, and smooth transition between the two braking force sources is achieved.