1180 results about "Regenerative brake" patented technology

One variation of a system includes a modular kit. The modular kit includes: a driven axle configured to install on a bogie chassis supporting a trailer chassis of a trailer; a motor coupled to the driven axle; a battery assembly; a set of electrical cables; and a cable carrier. The battery assembly includes a set of retention features configured to transiently engage a set of engagement features on the trailer chassis to couple the battery assembly to the trailer chassis and is configured to: supply electrical energy to the motor to drive the driven axle; and receive electrical energy from the motor to regeneratively brake the driven axle. The set of electrical cables are configured to electrically couple the motor and the battery assembly. The cable carrier is configured to: locate between the bogie chassis and the battery assembly; and support the set of electrical cables over a range of longitudinal positions.

The invention provides an elevator energy recovery application method and system based on a super capacitor, and relates to the technical field of energy recovery, and the method comprises the steps: collecting elevator operation data and super capacitor state data, constructing a state space and an action space, and constructing a reward function according to peak-valley electricity price economic benefits, super capacitor life loss and energy utilization efficiency; training a deep reinforcement learning model based on the double-Q network to obtain an energy recovery optimization strategy; when the elevator is braked, regenerative braking energy is stored in the super capacitor; when the elevator is driven, the stored energy is released for traction; the optimal storage allocation scheme of the multiple elevator rooms is calculated through the virtual energy storage unit, hierarchical control is implemented based on an optimization strategy and the allocation scheme, the upper layer adopts fuzzy self-adaptive weight to determine the energy storage priority, and the lower layer adopts a distributed algorithm to calculate the energy allocation coefficient and the target power; and the charge-discharge rate is updated according to the health state of the supercapacitor.

The invention discloses an intelligent automobile electro-hydraulic composite braking system integrating driver intention, and belongs to the field of intelligent automobile braking control. The system comprises a vehicle environment fusion sensing module, a braking intention identification module, a multi-target braking force distribution module, a regenerative braking torque constraint module and an optimal distribution coefficient decision module. When a driver brakes, the vehicle environment fusion sensing module is used for acquiring vehicle driving state information, road adhesion coefficient information, driving environment information and driver state information; the braking intention identification module adopts a neural network algorithm to accurately identify the braking intention of the driver; the multi-target braking force distribution module optimizes the required braking torque by using an NSGA-II multi-target optimization algorithm; the regenerative braking torque constraint module dynamically corrects the calculation result of the regenerative braking torque through a comprehensive constraint condition; and the optimal distribution coefficient decision module screens out the optimal braking distribution coefficient under the current working condition from the Pareto solution set through dynamic weighting.

The invention relates to an electric vehicle self-adaptive energy recovery method and system fusing driver behaviors, and the method comprises the following steps: analyzing the current driving data and historical driving data of a vehicle, judging a driving style, and predicting the occurrence probability of the driving style; according to the current driving data of the vehicle, the mass of the whole vehicle is estimated, and two values of the gradient are calculated through two different algorithms respectively; setting a weight according to a preset vehicle speed critical value, and weighting the two values to obtain a fusion gradient; according to the current driving data of the vehicle, the whole vehicle mass, the fusion gradient and the driving style occurrence probability, corresponding correction factors are determined respectively, the initial braking torque corresponding to the current motor rotating speed is corrected to obtain a reference braking torque, and the reference braking torque is compared with a preset motor torque range; and the optimal braking torque is obtained, braking is executed, and energy recovery is achieved. According to the method, distribution of regenerative braking energy is effectively optimized, and the energy recovery rate is increased.

The invention relates to the technical field of driving analysis, in particular to an unmanned intelligent analysis method and system, and the method comprises the following steps: S1, collecting multi-dimensional data in real time through a vehicle-mounted sensor, a traffic information network and meteorological data, building a short-term energy consumption prediction model based on the multi-dimensional data, the short-term energy consumption prediction model predicts energy consumption fluctuation in a future driving route; s2, dynamically adjusting a driving mode of the unmanned vehicle according to an energy consumption fluctuation prediction result of the short-term energy consumption prediction model and based on a multi-mode energy efficiency optimization mechanism; and S3, through a self-adaptive friction coefficient feedback mechanism, road surface friction coefficient changes of the tires and the ground under different road conditions are dynamically evaluated, and power output and braking response of the vehicle are adjusted. Acceleration, deceleration, sliding and regenerative braking modes of the vehicle can be adjusted in real time, and it is ensured that the vehicle is in the optimal energy efficiency state all the time.

The invention provides an urban rail transit energy management system considering new energy and energy storage access. The urban rail transit energy management system comprises a new energy power generation unit, an energy storage unit, a regenerative braking energy recovery unit and an energy management control platform, the new energy power generation unit and the energy storage unit are connected to a rail transit power supply system; the energy management control platform is connected with the power supply network and controls the units in a communication mode, energy flow in the rail transit power supply system is monitored, analyzed, optimized and dispatched so as to coordinate utilization of new energy power generation power, energy storage charging and discharging and regenerative braking energy, the energy utilization efficiency is improved, and the requirement for power grid outsourcing electric energy is lowered. The peak load of the system and the power grid electricity purchasing cost are effectively reduced, meanwhile, the overall energy utilization efficiency is improved, and energy conservation and consumption reduction are achieved while safe and stable operation of the rail transit system is ensured.

The invention discloses a traction energy-saving method and system based on dynamic load flow calculation for rail transit, electronic equipment and a readable storage medium, and the traction energy-saving method comprises the steps: planning a multi-vehicle collaborative energy-saving module through an ATO single-vehicle energy-saving + ATS working diagram, a dynamic diagram adjustment module according to passenger flow requirements, a regenerative braking energy feedback module and other modules; multi-dimensional coupling conditions of power supply, vehicles, signals, tracks and the like are dynamically analyzed, dynamic load flow calculation is performed from the perspective of energy flow through a dynamic load flow calculation and analysis module of the traction power supply system, technical means such as ATO energy saving, ATS energy saving and regenerative braking energy recovery device energy saving are dynamically coordinated, unified management and cooperative linkage are performed, and the dynamic load flow calculation and analysis module of the traction power supply system is realized. Energy consumption monitoring and statistical analysis are carried out for different traction energy-saving measures, and long-term energy-saving operation effect tracking and evaluation are carried out; and an energy-saving control strategy is continuously adjusted and optimized according to an analysis result through a prediction model between line energy consumption and operation data variables, so that a better energy-saving effect in a real sense is achieved.

Methods, systems, and apparatus for a regenerative braking and powertrain pedal system. The powertrain system includes an electric motor that is configured to generate regenerative energy and provide a regenerative braking torque. The powertrain system includes an electronic control unit coupled to the electric motor. The electronic control unit is configured to cause an accelerator pedal to rotate about its pivot point to increase a total available stroke in response to an energy recovery mode being activated. The electronic control unit is configured to control an amount of the regenerative braking torque to be applied using an accelerator pedal position. The electronic control unit is configured to cause the accelerator pedal to rotate about its pivot point to decrease the total available stroke in response to the energy recovery mode being deactivated.

The invention relates to a driving dynamics system for a vehicle, comprising: at least one wheel brake (RB1, RB2, RB3, RB4) for dissipative braking of one wheel of the vehicle; at least one brake unit (EMB, EHB) associated with the at least one wheel brake (RB1, RB2, RB3, RB4) and configured for generating a dissipative brake torque by means of the at least one wheel brake (RB1, RB2, RB3, RB4); at least one electric traction motor (TM1, TM2, TM3, TM4) which can be controlled to generate a regenerative braking torque for at least one wheel or axle of the vehicle; and a central control unit (M-ECU domain), which is configured to actuate the at least one brake unit (EMB, EHB) and the at least one electric traction motor (TM1, TM2, TM3, TM4) for a braking function in combination with one another such that a combined braking torque can be generated by means of the at least one brake unit (EMB, EHB) and the at least one electric traction motor (TM1, TM2, TM3, TM4). In this case, the braking function relates to a control situation in which the base braking torque and the adjusted additional braking torque are controlled and / or adjusted at the same time; wherein a base braking torque is optionally generated by means of the at least one braking unit (EMB, EHB) and an adjusted additional braking torque is generated by means of the at least one electric traction motor (TM1, TM2, TM3, TM4); or a base braking torque is generated by at least one electric traction motor (TM1, TM2, TM3, TM4) and an adjusted additional braking torque is generated by at least one braking unit (EMB, EHB); or the at least one brake unit (EMB, EHB) and the at least one electric traction motor (TM1, TM2, TM3, TM4) each jointly generate a base brake torque and an adjusted additional brake torque.

The invention provides a regenerative braking-based dynamic energy distribution method for a new energy automobile, which belongs to the technical field of braking systems and comprises the following steps: step 1, determining the total braking force currently required by the automobile, and further determining the distribution proportion of mechanical braking and regenerative braking; 2, evaluating the current acceptable charging power of the battery and the feedback power range of the motor, and further determining limit data of regenerative braking energy distribution; 3, the optimal regenerative braking force and mechanical braking force distribution proportion under the current working condition is determined; 4, the optimal regenerative braking force distribution proportion is converted into a regenerative braking force instruction, then a motor is controlled to generate corresponding regenerative braking torque based on the regenerative braking force instruction, the vehicle is braked, and energy is recycled; and 5, the mechanical braking force distribution proportion is converted into a mechanical braking force instruction, and then a mechanical braking device is controlled to generate corresponding braking force based on the mechanical braking force instruction. And more accurate brake control and energy management are realized.

The invention provides a tractor semitrailer full-working-condition active stability control system and method, and belongs to the technical field of vehicle engineering. The system comprises a kinetic model module, a reference quantity determination module and an active stability controller module. The dynamic model module constructs a linear three-degree-of-freedom tractor semitrailer model, a hub motor model and a longitudinal driver model. The reference quantity determination module generates an ideal state value according to the steady state condition of the system and corrects the ideal state value in combination with the road attachment condition. The active stability controller module is divided into three layers, an MIMO-IMFAC controller calculates additional yawing moment, a torque optimization controller optimizes tire load distribution through a quadratic programming algorithm, and a driving / braking torque distribution controller preferentially uses regenerative braking and dynamically adjusts braking torque of the semitrailer according to the yawing moment. By adopting the control system and the control method, the stability and the dynamic response capability of the vehicle under complex working conditions are remarkably improved.

The invention discloses an automobile braking energy recovery method considering a driving style. The method comprises the steps that the driving style of a driver and the comfortable time headway of the corresponding style are determined; wherein the driving styles comprise aggressive styles, ordinary styles and prudent styles; when the real-time headway is larger than the safe headway, the current braking intention of the driver is recognized according to the current accelerator pedal position, the accelerator pedal change rate and the difference value of the real-time headway relative to the comfortable headway; the types of the braking intention comprise light degree, light-medium degree, medium strength and emergency; if the current braking intention of the driver is mild or mild, a regenerative braking strategy is adopted; if the current braking intention of the driver is moderate, a regenerative braking and mechanical braking mixed strategy is adopted; and if the current braking intention of the driver is emergency, a mechanical braking strategy is adopted. The driving intention recognition accuracy can be improved, so that the driving comfort and the braking energy recovery efficiency are improved.

A regenerative braking system for an electrified vehicle includes a battery system, an electric motor and a regenerative system resistor. The battery system selectively stores and delivers power. The electric motor is powered by the battery system and transfers drive torque to a driveline for propulsion of the vehicle and that selectively directs regenerative power in a first mode to the battery system during regenerative braking. The regenerative system resistor is selectively moveable between a first position during the regenerative braking in the first mode and a second position where regenerative power is directed to the regenerative system resistor and dissipated as heat in a second mode. At least one fan is disposed on the regenerative system resistor and selectively operates to direct air onto the regenerative system resistor based on operating conditions.

The embodiment of the invention provides a vehicle energy recovery control method and device, a medium and a vehicle, and relates to the technical field of brake control. The method comprises the steps that a braking request of a target vehicle is responded, and current braking judgment parameters of the target vehicle are obtained; under the condition that it is determined that the target vehicle meets the preset energy recovery condition based on the current braking judgment parameters, the vehicle operation parameters are input into an intelligent decision-making model, and a braking force distribution strategy result is obtained; based on the braking force distribution strategy result, braking control is conducted on a motor control system and a braking system; the motor control system is used for providing regenerative braking force and generating recovery energy suitable for supplementing energy to the power battery. According to the embodiment of the invention, the vehicle operation parameters collected in real time are input into the self-adaptive adjustment intelligent decision-making model, and the braking force distribution strategy suitable for the current operation condition can be output, so that the accuracy and adaptability of braking force distribution are effectively improved.

The invention provides a traction power supply system control method based on multi-objective optimization, and the method comprises the following steps: S1, determining an initial control variable of a traction system, the initial control variable comprising converter power of an alpha power supply side and a beta power supply side of the traction power supply system and train braking resistor dissipation power of the alpha power supply side, the initial control variable is used as input to construct a regenerative braking energy MPC prediction model; s2, predicting a state variable of a next moment based on a regenerative braking energy MPC prediction model, wherein the state variable comprises output power of a traction substation, total dissipation power of a brake resistor, output power of an energy storage system and a charge state of the energy storage system; and S3, constructing a multi-objective optimization function based on the state variable at the next moment, converting the multi-objective optimization function into a quadratic programming form for solving to obtain a control variable sequence, and taking a first item of the control variable sequence as control input to control the traction power supply system to work.

One variation of a system includes a bogie including: a chassis; a first set of latches configured to transiently engage a first subset of engagement features, in a first array of engagement features on a left rail and in a second array of engagement features on a right rail of the trailer, to retain the bogie below a floor of the trailer; a driven axle suspended from the chassis; and a motor coupled to the driven axle and configured to output torque to the driven axle and regeneratively brake the driven axle. The system further includes a battery assembly: including a second set of latches configured to transiently engage a second subset of engagement features, in the first array of engagement features and in the second array of engagement features, to retain the battery assembly adjacent the bogie; and configured to receive electrical energy from the motor.

One variation of a system for generating thrust at an aerial vehicle includes: a primary electric motor; a rotor coupled to the motor; an internal-combustion engine; a clutch interposed between the motor and an output shaft of the internal-combustion engine; an engine shroud defining a shroud inlet between the rotor and the internal-combustion engine, extending over the internal-combustion engine, and defining a shroud outlet opposite the rotor; a cooling fan coupled and configured to displace air through the engine shroud; and a local controller configured to receive a rotor speed command specifying a target rotor speed, adjust a throttle setpoint of the internal-combustion engine according to the target rotor speed and a state of charge of a battery in the aerial vehicle, and drive the primary electric motor to selectively output torque to the rotor and to regeneratively brake the rotor according to the target rotor speed.

The invention relates to the technical field of vehicle braking control, and discloses a vehicle braking control system based on a high-speed permanent magnet synchronous motor, which comprises a state sensing module, a braking force calculation module, a braking force control module and a braking force control module, the torque distribution module distributes the total braking torque into a predictable regenerative component and a precisely matched friction component, a deterministic regenerative braking force datum line is established, a braking system is converted into stable output control from passive response energy fluctuation, and linear mapping of pedal travel and deceleration is achieved; and meanwhile, by combining road bumping degree perception and model online correction, the output stability is kept under the complex working condition, and the technical problem that energy recovery and control quality in a hybrid braking system are difficult to consider at the same time is solved.

Disclosed are a vehicle braking control method and apparatus, and a vehicle. The method comprises: acquiring brake pedal information of a vehicle, wherein the brake pedal information is used for representing the working state of a brake pedal of the vehicle; determining braking demand information of a driving object of the vehicle on the basis of the brake pedal information, wherein the braking demand information is used for representing whether the braking demand of the driving object on the vehicle is urgent; determining a friction braking assistance parameter matching the braking demand information; adjusting initial braking demand torque to regenerative braking demand torque and friction braking demand torque on the basis of the friction braking assistance parameter of the brake pedal, wherein the initial braking demand torque is obtained on the basis of travel information of the brake pedal; and on the basis of the regenerative braking demand torque and the friction braking demand torque, controlling the vehicle to brake.

The invention provides an electronic control hydraulic braking optimization method for a new energy light passenger car, which comprises the following steps of: monitoring the position of a brake pedal through a high-precision sensor, correcting a signal in combination with vehicle speed and load information, identifying the braking intention of a driver, calculating the required braking force, and recovering energy by braking through a motor. The regenerative braking power is dynamically adjusted according to the braking force requirement, smooth transition to hydraulic braking is achieved when necessary, the braking response time is shortened through the rapid pressure building technology and optimization design, the braking distance is reduced, and the braking strategy is intelligently adjusted according to different road conditions, for example, motor braking is reduced on a wet and slippery road surface to avoid slipping; and motor braking is added on the long downhill road section to reduce the risk of heat attenuation, and the dual purposes of improving the braking performance and efficiently utilizing energy are achieved.

There is provided a powertrain of a mid-drive electric bicycle that enables regenerative braking. The powertrain comprising a mid-drive electric motor, a chain rotatably connected to the mid-drive electric motor, a gearing system mounted in a rear wheel bub, the gearing system rotatably connected to the chain, a mechanical brake connected to a component of the gearing system, and a control system. During operation of the mechanical brake, the gearing system is configured to cause rotation of the chain in a backward direction opposite to the forward driving direction, which mechanically forces the mid-drive electric motor to rotate in the backward direction, to thereby regenerate electric energy. There is further provided a crankset configured to prevent rotation of pedals of the electric bicycle in a backwards driving direction during backwards rotation of the chain in braking mode.

The invention is suitable for the technical field of automobiles, and provides a vehicle braking method and device, an electronic control unit and a vehicle. The method comprises the steps that when an electronic mechanical braking system of the vehicle has a fault, the fault type is determined; based on the fault type, determining a braking mode of the vehicle; and in response to the vehicle braking instruction, a cooperative regenerative braking system of the vehicle is controlled based on the braking mode, so that braking of the vehicle is achieved. According to the method, when the electronic mechanical braking system breaks down, braking of the vehicle can be achieved through an existing cooperative regenerative braking system of the vehicle, no mechanical device needs to be additionally arranged, and therefore the cost is reduced, and the complexity of the braking system is reduced. Meanwhile, according to the method, the braking mode of the vehicle can be flexibly determined based on the type of the fault in the electronic mechanical braking system, so that flexible control over the cooperative regenerative braking system is achieved, the control accuracy of the cooperative regenerative braking system is improved, and the braking success rate of the vehicle is increased.

The present invention relates to a field gun with wheel carriage, specifically to a wheel carriage with regenerative braking system as part of the recoil system A field gun, comprising: i) an elevating mass comprising:an ordnance for firing a projectile, the ordnance comprising a barrel defining a barrel axis and having a muzzle towards the front end of the howitzer and a breech assembly at the rear end of the barrel; anda cradle for holding the ordnance at a traverse and an elevation; andat least one co-operative engagement means, for linking said cradle to a wheeled carriage, ii) said wheeled carriage comprisingat least one wheel:a rechargeable electric storage device; anda regenerative braking system comprising:a brake control configured for applying a braking force to said at least one wheel in response to movement of the wheeled carriage by a recoil force from the firing of the projectile from the gun barrel.

The invention belongs to the technical field of excavator rotation systems, and particularly relates to an excavator electric rotation system and a control method, the excavator electric rotation system comprises a handle, a tilt angle sensor, a rotation angle sensor, a weighing system, a whole machine controller, a power supply system, a brake resistor, a rotation motor and a brake; wherein the handle and the sensor are connected with an input port of the whole machine controller; the output port of the complete machine controller is connected with the control port of the brake, and the communication port of the complete machine controller is connected with the communication ports of the motor controller and the weighing system; the motor controller is connected with the power supply system, the rotary motor and the brake resistor, and the rotary motor is mechanically connected with the brake and the speed reducer. The acceleration stability in the rotation process is improved, the acceleration stability in the rotation process is improved, the stability in the rotation stopping process is improved, the problem that the regenerative braking force is insufficient when the motor is at a low speed is solved, the application working condition is wider, and the system is more reliable.

The invention relates to the technical field of energy management, in particular to an emergency energy vehicle efficient power and energy management system which comprises a methanol reforming device, a hydrogen storage device, a fuel cell and an energy management module. The hydrogen storage device is used for ensuring stable supply of hydrogen, the fuel cell converts the hydrogen into electric energy to drive the vehicle, redundant electric energy is stored in the battery pack, and the energy management module optimizes energy distribution and supply according to the running state and energy requirements of the vehicle. Through integration of the multiple energy supply units, dynamic adjustment of the intelligent management module, energy prediction and optimization and use of the regenerative braking system, the energy efficiency and reliability of the vehicle are remarkably improved.

The invention relates to the technical field of regenerative braking energy feedback, in particular to a regenerative braking energy storage and feedback system based on a super capacitor, which comprises a real-time monitoring port, an energy management port and a power distribution optimization port, the monitoring module is used for monitoring the running speed and acceleration of the vehicle and the charging and discharging current, voltage, power fluctuation and residual life of the supercapacitor in real time; the energy management port is used for performing energy distribution between the super capacitor and the battery; and the power distribution control port is used for adjusting the charging and discharging strategy of the super capacitor in real time according to the driving state of the vehicle.

A system for situation awareness guided energy harvesting (SAGEH) in vehicles includes a cloud computing server, and sensors capturing information about a host vehicle and remote vehicles, and their environments. The vehicles and server each have a controller that executes a SAGEH application including triggering collection of host and remote vehicle information and environmental information, continuously observing a traffic signal and traffic situation along a host vehicle path along a road segment, generating an estimate of a quantity of time for the traffic signal to change status and generating an estimated quantity of time for the host vehicle to stop at the traffic signal, in response to one or more of the estimated quantities of time, generating a control output command. The control output command causes the host vehicle to dynamically, automatically, and adaptively harvest energy by engaging one or more of a stop / start system, and a regenerative braking system.

The invention discloses a multifunctional angle module test bench which is composed of a bench base, a load simulation device and a pavement simulation device. The bench base is provided with a lifting sliding column, and the height of a loading platform can be adjusted to adapt to suspension deformation; the load simulation device realizes vertical load adjustment by increasing or decreasing balancing weights; the pavement simulation device integrates a belt pulley shaft, a motor, a magnetic powder brake and a pressure oil cylinder, and simulates pavement resistance through belt rolling; during testing, the angle module body is fixed to a loading platform, tires make contact with a belt to achieve dynamic testing, a magnetic powder brake increases resistance torque for a main belt wheel shaft so as to simulate different road conditions, a motor drives the belt to test regenerative braking performance, and a pressure oil cylinder is matched with a thrust bearing to measure axial loads. The steering resistance and tire mechanical property test is completed by changing the included angle between the wheel and the belt motion direction; according to the invention, driving, braking, steering and suspension system testing functions are integrated, and multi-working-condition comprehensive performance detection is realized.

The invention provides a hoisting machinery amplitude variation process energy management method and system based on a supercapacitor, and relates to the technical field of energy management, and the method comprises the steps: calculating the theoretical energy demand of an amplitude variation process through a neural network prediction model, correcting a dynamic grouping coefficient to obtain a power distribution coefficient, and calculating the power distribution coefficient; and taking the result as the upper limit of the charging and discharging power of each group of super capacitors, and adjusting the charging and discharging current through a self-adaptive PI controller. When the amplitude variation angle is reduced, regenerative braking energy exceeding the rechargeable power of the super capacitor is stored in a high-temperature superconducting energy storage inductor, and the energy is charged into the super capacitor according to a power distribution coefficient when the condition is allowed; when the amplitude variation angle is increased, the output power ratio of the main power supply to each group of super capacitors is optimized by adopting a dynamic programming algorithm, and power cooperative control is realized through a sliding mode and an active-disturbance-rejection controller, so that the stability of the system voltage is ensured. The energy utilization efficiency can be effectively improved, the service life of the supercapacitor is prolonged, and the system stability is ensured.

The invention relates to the technical field of intelligent control, and particularly discloses a servo control method and a servo control system for a fast door, and the method comprises the following steps: a multi-modal data fusion step: collecting a mechanical state, an environment parameter and system health data, and constructing a multi-dimensional state vector; a self-adaptive control step: dynamically generating control parameters based on fuzzy PID and a deep learning model; a multi-stage energy consumption optimization step: switching a control strategy according to the operation stage of the door body, and introducing a regenerative braking and energy efficiency optimization algorithm; and a fault self-healing step: realizing control switching in an abnormal state through sensor redundancy and actuator backup. Compared with traditional single closed-loop control, the positioning precision is improved, and the anti-interference capability is improved through fusion of the mechanical state and the environmental data.