4152results about "Electrodynamic brake systems" patented technology

An electric motor based system includes an electric motor; an electric motor power controller for controlling the electric motor; a first control unit, adapted to provide first control signals for the electric motor power controller; an electric power storage device adapted to power the electric motor power controller; a first sensor adapted to determine information related to power exchange between the electric power storage device and the electric motor power controller; and a second control unit, wherein the second control unit is adapted to pass the first control signals, received from the first control unit, to the electric motor power controller in a first mode and adapted to provide second control signals for the electric motor power controller in a second mode; and the second control unit inputs and exploits the information.

A control method for drift driving a vehicle supports a drift entry assistance function and a drift maintenance assistance function while maximizing driver's drift driving experience. The control method includes determining, by a controller, whether or not drift entry assistance control is required based on vehicle driving state information, when the vehicle enters a drift mode, and performing, by the controller, the drift entry assistance control using a torque vectoring motor so that the vehicle reaches a drift driving state when determining that the drift entry assistance control is required.

A system (100) for intelligent fault detection and energy management in fuel cell hybrid electric vehicles (FCHEVs), comprising: a data acquisition unit (102) comprising sensors (102a) configured to acquire real-time operational data from vehicle components; an energy management unit (104) comprising a fuel cell unit configured to generate electricity from hydrogen and a battery unit configured to store and supply electrical energy; a regenerative braking system (106) in conjunction with an energy management unit (104) configured to recover and store energy during vehicle deceleration; a centralized processing unit (108) configured to perform functions of the system (100) based on data acquired by the sensors (102a), wherein the centralized processing unit (108) comprises the following: a neural network processor (108a) configured to analyze real-time operational data for fault prediction; an energy optimization processor (108b) configured to dynamically manage power distribution; a maintenance prediction processor (108c) configured to identify potential component failures; a communication interface (110) configured to enable data exchange between vehicle and infrastructure (V2I) and between vehicles (V2V); a driver interface (112) configured to display system status and receive user input; and a control unit (114) configured to perform corrective actions based on neural network analysis and energy optimization calculations.

The invention discloses a vehicle braking torque adjusting method and system based on multiple input signals. The vehicle braking torque adjusting method and system aim at improving the safety, driving experience and braking efficiency of a vehicle in a complex environment. The system collects the vehicle driving state, the intention of a driver and the road friction condition in real time through a plurality of sensor modules, and accurate data support is provided for brake control. According to the diversified input, the system can intelligently recognize the road surface state and dynamically adjust the braking torque gradient, the braking response is optimized, and the stability of the vehicle in various driving environments is ensured. The sudden change and step phenomena in the braking process are smoothed through a feedforward control algorithm, the driving experience is improved, instability caused by system switching control strategies is avoided, and based on motor back electromotive force spectrum analysis, the system can accurately adjust energy recovery and improve the energy utilization efficiency of the vehicle. And powerful support is provided for improving the braking performance, the safety and the automatic driving technology of modern vehicles.

A Level IV fuel-saving robot system for ACE HDTs of the present disclosure focuses on the minimization of actual fuel consumption (L / 100 km) for long-haul freight at first based on an electrical power split device (ePSD) and a mixed hybrid powertrain architecture. A basic model Level I fuel-saving robot realizes a longitudinal L1 automatic driving function through a predictive adaptive cruise (PACC) technology within an Operational Design Domain (ODD) for highways and reduces the actual fuel consumption of an ACE HDT by more than 20% compared with modern diesel HDTs, and the energy-saving and emission-reducing effect of the basic model Level I fuel-saving robot is decoupled from both the technical level of a vehicle engine and the driving level of a driver; an advanced Level IV fuel-saving robot has a L4 automatic driving function within the ODD for highways, operates in a “shadow mode” or “detached mode”, automatically generates a discrepancy report or detachment report, completes the “3R” batch validation for an L4 system on a billion mile scale quickly with high cost effectiveness on the premise of ensuring the traffic safety of existing road users and reduces the total validation expense by more than 65% compared with the modern HDT with internal combustion engine equipped with the L4 system, promoting the early commercialization of the Level IV fuel-saving robot.

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.

There is provided a control system for an electric vehicle comprising a power train, the control system comprising: a first controller configured to automatically select a drive mode for the vehicle based on a whole vehicle operation model; and a second controller coupled to the first controller, the second controller configured to adjust a set of tuning parameters for the vehicle, whereby the second controller is configured to receive a signal from the first controller to adjust the set of tuning parameters such that the vehicle operates in the selected drive mode. Thus enhancing the operation and durability characteristics of the vehicle.

The invention relates to the technical field of vehicle energy recovery, and particularly discloses a braking force distribution method and device based on double-layer self-adaption, a vehicle and a storage medium, and the method comprises the steps that in response to a braking signal, the battery pack remaining capacity, a vehicle speed signal, the wheel longitudinal adhesive force, the wheel vertical force and the braking demand strength of the vehicle are obtained; the remaining electric quantity of the battery pack and the vehicle speed signal are used for entering the precondition of braking force distribution, and a real-time adhesion coefficient is determined based on a preset tire-road adhesion coefficient recognition model; based on the real-time adhesion coefficient, the wheel longitudinal adhesion force and the wheel vertical force, the optimal slip rate and the optimal adhesion coefficient of the vehicle are determined; and according to the optimal slip rate, the optimal adhesion coefficient and the braking demand strength and based on the braking force distribution model, the braking force distribution of the front and rear wheels of the vehicle is determined, the direction stability of the vehicle is effectively improved, and meanwhile, the braking energy recovery efficiency is improved to the maximum extent on the premise that the braking direction stability is met.

A power management circuit for an electric auxiliary vehicle is provided. The electric auxiliary vehicle includes batteries, a motor, and power receiving ports. The power management circuit includes a transformer, an inductor, primary circuits, a motor driving circuit, and charging-and-discharging circuits. The transformer includes primary windings and a secondary winding. The inductor is coupled in parallel with the secondary winding. Each of the primary circuits provides wireless power from a corresponding power receiving port to a corresponding primary winding at different time periods, and provides electric energy from the corresponding primary winding to the corresponding power receiving port at different time periods. Each of the charging-and-discharging circuits provides electric energy from the inductor to a corresponding battery at different time periods, and provides battery electric energy from the corresponding battery to the inductor at different time periods.

An electrified vehicle includes an electric machine, a traction battery selectively connected to the electric machine, a human-machine interface (HMI), and a controller programmed to, after receiving a signal from the HMI enabling towed vehicle operation of the electrified vehicle, control the electric machine to generate a regenerative braking torque in response to deceleration of the electrified vehicle exceeding an associated deceleration threshold and road grade being below a road grade threshold. The controller may also be programmed to control friction brakes of the electrified vehicle in response to the deceleration exceeding the associated threshold. The controller may control brake lights of the electrified vehicle in response to the regenerative braking and / or friction braking. Regenerative and friction braking may be released in response to acceleration exceeding a corresponding threshold.

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.

A battery temperature acquirer acquires a measured battery temperature of a battery module in a battery pack installed in an electric vehicle. A target temperature determination unit determines a target temperature of the battery module at the time of arrival at an installation place of a charger to which the electric vehicle is to head. A set value determination unit determines a combination of a set value for regenerative charging, a set value for output suppression, and a set value for a temperature adjustment unit such that the battery temperature becomes closer to the target temperature.

Method for braking an aircraft turbine engine including a fan or a propeller connected to a turbine by a shaft and an electric generator connected to the shaft, the method comprising the following steps:a request to brake the turbine engine by thrust reversal;a calculation of a turbine braking setpoint by a control system; andin response to the braking setpoint, an adjustment by the control system of a resistance of a dissipative load to draw electric power from the electric generator to the dissipative load.

The present application relates to the technical field of vehicles, and provides an energy recovery control method and device, and a vehicle, aiming to provide an energy recovery strategy during driving downhill and improve the driving comfort in a downhill state. The method comprises: in response to the working condition of a vehicle meeting an energy recovery condition, detecting the state of the vehicle; when the vehicle is in a downhill state, acquiring the current opening degree and the current change rate of an accelerator pedal of the vehicle; determining a driving intention of the vehicle on the basis of the current opening degree; and triggering an energy recovery strategy corresponding to the driving intention so as to carry out energy recovery, wherein an energy recovery strategy corresponding to a slip driving intention comprises determining a target recovery torque on the basis of the current vehicle speed of the vehicle, and an energy recovery strategy corresponding to an accelerated driving intention comprises determining a target recovery torque on the basis of the current opening degree and / or the current change rate.

A powered balancing mobility device that can provide the user the ability to safely navigate expected environments of daily living including the ability to maneuver in confined spaces and to climb curbs, stairs, and other obstacles, and to travel safely and comfortably in vehicles. The mobility device can provide elevated, balanced travel.

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.

An electric vehicle battery control system including a first electric motor configured to propel a vehicle in a drive mode in response to a drive current, a second electric motor operative to generate a back electromotive force voltage in a fault mode, a battery, having an open circuit battery discharge voltage, for generating the drive current for coupling to the first electric motor, and a vehicle controller for limiting the drive current in response to a difference between the back electromotive force voltage and the open circuit battery discharge voltage being less than a threshold voltage difference.

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.

A vehicle corner module (VCM) is provided for regulating motion of a host vehicle which comprises a vehicle-onboard vehicle-controller. The VCM comprises a sub-frame mountable to a reference frame of the host vehicle; a wheel-hub assembly comprising a wheel-hub; VCM-sub-systems mediating between the sub-frame and the wheel-hub assembly, e.g., a drive subsystem, a steering subsystem, a suspension subsystem and / or a braking subsystem; and an VCM-onboard VCM-controller, comprising one or more processors and a computer-readable medium storing program instructions that, when executed by the one or more processors, cause the one or more processors to establish a communication link with a vehicle-controller, including electronically transferring information about the VCM from the VCM-controller to the vehicle-controller, and to perform, in response to an installation of the VCM on a vehicle, a post-installation validation-process that includes validating the VCM-subsystems and communicating a result of the validating to the vehicle-controller.

System and methods are disclosed for engaging and disengaging a regenerative braking system of a first vehicle coupled to a second vehicle. In an embodiment, a coupler (e.g., a tow bar) connects the front of a first vehicle (e.g., a towed vehicle) to the rear of a second vehicle (e.g., towing vehicle). The regenerative braking systems includes a motor-generator coupled to a wheel set of the first vehicle and a battery for storing electrical power generated by the motor-generator. The motor-generator is used to apply an accelerating force to the driven wheel set when forward acceleration is needed. The motor-generator is also used to generate electrical power by harnessing the vehicles' momentum to turn the rotor of the motor-generator, which causes a decelerating torque to be applied to the driven wheel set.

The embodiment of the invention provides a multi-stage energy recovery control method and device for a running vehicle, and the method comprises the steps: obtaining vehicle running parameters of the running vehicle, and generating a dynamic working condition index; obtaining driving operation data and importing the driving operation data into the behavior prediction model to generate a braking demand probability grade; determining a corresponding energy recovery level according to the dynamic working condition index and the braking demand probability level; and when the energy recovery grade is a middle grade, a dynamic torque change curve is generated to control the vehicle to execute energy recovery. And the balance problem of the energy recovery efficiency and the driving comfort is effectively solved. The generation of the dynamic working condition index ensures the accurate perception of the complex driving environment, and the introduction of the behavior prediction model realizes the pre-judgment of the driving intention. The energy recovery intensity is optimally matched with the real-time working condition through a two-factor linkage hierarchical control strategy, and the pause feeling generated by traditional stepped adjustment is remarkably reduced through application of a dynamic torque curve.

A Level IV fuel-saving robot system for heavy-duty trucks (HDT) focuses on the minimization of actual fuel consumption (L / 100 km) for long-haul freight based on an electrical power split device and a mixed hybrid powertrain architecture. The Level IV fuel-saving robot has an L4 autonomous driving function within the Operational Design Domain (ODD) of expressways, operates in a “shadow mode” or “Disengagement Mode,” automatically generates a discrepancy report or detachment report, completes the “3R” (Real Vehicle, Real Road, Real Payload) batch validation for an L4 system on a billion mile scale quickly with high performance to cost ratio under the condition of ensuring the traffic safety of existing road users and reduces the total validation expense by more than 65% compared with the modern HDT with internal combustion engine equipped with the L4 system, promoting the early commercialization of the fuel-saving robot.

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 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 battery control component of an electric vehicle may limit charging of a battery on the electric vehicle to a target state of charge (SOC), such as to reserve battery capacity for regenerative braking during downgrades. A computing device associated with the vehicle may calculate an estimated gradient profile and / or an estimated total energy consumption of a predicted upcoming route of the vehicle based on one or more data items, such as GPS data, altitude data, and / or map data. The computing device may determine a target SOC based on the estimated gradient profile. The computing device may determine a confidence factor associated with the estimated gradient profile, where the confidence factor depends on the quantity of data items used to calculate the estimated gradient profile. The computing device may adjust the target SOC based on the confidence factor.

A system is operable for controlling a force applied on a trailer being towed by a vehicle is described to a desired force Fd. The trailer has brakes and an optional motor for providing a propelling force to the trailer. A force sensor senses fore-aft forces between the vehicle and trailer at all times while the trailer is being towed. A controller receives signals from the force sensor and is operatively connected to the trailer brakes and the motor. The system controls the force between a towing vehicle and a trailer to the desired force Fd, by any one of: (a) operating the brakes to apply a braking force to the trailer; (b) activating the motor to apply a propelling force to the trailer; and (c) operating the brakes and activating the motor to apply both a braking and a propelling force to the trailer.

The invention discloses a double-closed-loop cooperative control method of a direct-drive electric chassis and a power system, relates to the technical field of power control of electric special vehicles, and provides a rotating speed and torque double-closed-loop cooperative control architecture, and realizes double-core real-time cooperative operation and dynamic optimization of motor output characteristics through a 32-bit processor. A direct-drive transmission structure is combined, a traditional speed reduction device is omitted, a flat wire motor directly drives a rear axle through a transmission shaft, and a four-in-one controller is matched, so that the system loss is reduced by 33%, and the power density is improved by 15%; on the basis of real-time temperature / electric quantity data of a lithium iron phosphate battery management system, control parameters are adaptively adjusted, and the bottleneck of performance attenuation in a low-temperature environment of-35 DEG C is broken through; and a high-voltage interlocking and insulation monitoring module is integrated, and an emergency hydraulic system is automatically switched when an electrical fault occurs, so that multi-stage safety guarantee is formed. According to the technology, the energy recovery efficiency is remarkably improved by 20%, and the wind resistance stability and the extreme environment reliability are effectively enhanced.

The invention provides an energy recovery control method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the driving habit data and road condition data of a user, the driving habit of the user being the habit of the user controlling the vehicle speed and the rotating speed, and the road condition data being used for representing the road congestion condition; calculating a target energy recovery torque according to the driving habit data and the road condition data; and controlling the motor controller to output the target energy recovery torque. In the embodiment of the invention, the target energy recovery torque is calculated according to the driving habit and the road condition data of the user. It can be understood that the self-adaptive energy recovery mode in the embodiment of the invention is more in line with the driving habits of users, and even if different users drive vehicles, different target energy recovery torques can be calculated respectively, so that the requirements of different users for energy recovery intensity are met, and the user experience is improved.

An electric vehicle (EV) charging management system configured for managing charging of an EV comprises an EV charging system for charging a Li-Ion battery and an EVSE which is based on a charging station altitude at which the EVSE is charging the Li-Ion battery, an EV route stored in the EV charging management system and a likelihood that the EV will go downhill when travel commences after charging ends, in which the EV will start travelling without regenerative charging in place, as the EV goes downhill. The EV charging system comprises a processor and a memory storing software instructions that determine a safe and efficient state of charge (SoC), which is not to be exceeded, by adjusting a SoC limit based on the charging station altitude of an EV charging site and an expected route of the EV to provide an altitude and route adjusted target SoC for the EV.

The embodiment of the invention provides an energy recovery control method and device and a vehicle. The method comprises the following steps: determining an energy recovery mode of the vehicle, wherein the energy recovery mode of the vehicle comprises an intelligent mode; and when the energy recovery mode of the vehicle is the intelligent mode, the vehicle recovers energy in the intelligent mode. Wherein energy recovery of the vehicle in the intelligent mode comprises the steps that based on driving information of the vehicle, the energy recovery basic torque and the energy recovery comprehensive coefficient of the vehicle are obtained, the driving information of the vehicle is used for representing the driving state of the vehicle and the driving environment where the vehicle is located, and the energy recovery comprehensive coefficient is related to the driving information of the vehicle. And based on the energy recovery basic torque and the energy recovery comprehensive coefficient of the vehicle, an energy recovery target torque is obtained, and energy recovery is conducted through the target energy recovery torque. The problems that the energy recovery rate is low, driving experience is affected, and the service life of a battery is affected are solved.