7721results about "Electric energy management" patented technology

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.

The invention discloses an inverter intelligent control method based on a self-adaptive algorithm, and relates to the technical field of inverter intelligent control, and the method comprises the steps: multi-source temperature collection and environment recognition, machine learning-based electric-thermal coupling prediction, self-adaptive inverter parameter optimization, and cooperative thermal management and fault diagnosis self-repairing. According to the high-temperature or low-temperature failure risk of the motor and the inverter under the extreme climate, temperature distribution and load information are obtained in real time, the temperature rise trend is predicted in advance, and the current, voltage and modulation strategy of the inverter are actively adjusted, so that safe derating or torque compensation is achieved; multi-sensor cross validation and observer fusion are carried out when sensors drift or devices are aged, stable operation and efficient energy utilization of the system are kept, and the drivability and the whole vehicle reliability in an extreme environment are remarkably improved; in the process, fault diagnosis and self-repairing can be further improved through online model updating, and the durability and economical efficiency of the electric drive system are improved.

A system and method generate a trip plan for a trip of a vehicle system along a route. The usage of an engine during the trip is determined based on engine operational parameters, energy storage device operational parameters, and one or more objectives of the trip desired to be achieved. The usage of the energy storage device during the trip is also determined based on the engine operational parameters, the energy storage device operational parameters, and the one or more objective, including when to charge or discharge the energy storage device during the trip.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

The invention discloses an electric forklift multi-mode driving switching method and system based on multivariable cooperation, and relates to the technical field of industrial vehicle intelligent control. The method is used for solving the problems of one-sided working condition sensing, switching oscillation and safety fault tolerance deficiency in multi-mode driving. The method comprises the following steps: firstly, generating a dynamically weighted working condition feature vector through multi-source sensing data fusion, and quantifying a stability risk, an energy consumption constraint and a power demand; secondly, based on a stability risk trigger steering safety envelope, arbitrating a multi-mode priority and correcting a torque upper limit in combination with a fuzzy rule to form an anti-conflict execution sequence; then, torque distribution and a steering angle acceleration instruction are optimized in a rolling mode in the safe envelope boundary, center-of-gravity shift is synchronously restrained, the track precision is improved, and energy consumption is reduced; finally, the control authority is transferred adaptively according to the operation intensity of a driver, when the decision is abnormal, the load-ramp rule base is degraded, an instruction is transferred through an S-shaped curve, and a torque balancing strategy is executed at the high position of a pallet fork to maintain stable.

A method of controlling drift of a vehicle in which the vehicle more easily enters, maintains, releases, and transitions drift behavior, includes determining, by a controller, whether a current driving situation of the vehicle is a drift entry situation or a release situation based on vehicle driving information, and generating a drift index configured to indicate a current degree of drift from a determination result, determining, by the controller, a target yaw moment for left and right speed control depending on a driving situation or a braking situation of the vehicle and target yaw moments for drift assistance control depending on a driver input and a vehicle state in the drift entry situation, based on the vehicle driving information, and generating and outputting, by the controller, a target torque of a motor configured to drive each wheel of the vehicle based on the determined target yaw moments.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

A method and system for calculating a torque required by a driver, and a vehicle and a storage medium. The method for calculating a torque required by a driver comprises: acquiring the opening degree of an accelerator pedal of a target vehicle, the actual speed of the target vehicle, the actual acceleration of the target vehicle, and the gradient of the current road on which the target vehicle is travelling (S101); determining a target acceleration on the basis of the opening degree of the accelerator pedal and the actual speed (S102); subtracting the target acceleration from the actual acceleration to obtain an acceleration difference (S103); on the basis of the acceleration difference, performing closed-loop correction on a required torque, so as to obtain a corrected torque (S104); on the basis of the actual speed and the gradient of the current road on which the target vehicle is travelling, determining the coasting resistance torque and gradient resistance torque of the target vehicle (S105); and adding up the corrected torque, the coasting resistance torque and the gradient resistance torque to obtain a torque required by a driver (S106). The method can automatically adapt to a change in the gradient of a road, such that a torque required by a driver can be accurately and effectively calculated, thereby improving the driving experience of the driver.

The invention relates to the technical field of automobile braking, in particular to an EMB system active calibration method and device.The method comprises the steps that the current and temperature of a brake motor winding in an automobile are collected in real time, the temperature of a brake disc in the automobile and the running speed of the automobile are collected in real time, and based on the current temperature change of the brake motor winding, the braking accuracy of the brake motor winding is improved; compensating the current current of the brake motor winding; determining a wear sensitive factor of the current brake; according to the difference between the clamping rotation angle and the back-off rotation angle of the current and previous multiple braking, the accumulated net rotation angle of the current braking is determined; acquiring a current temperature correction coefficient and a speed correction coefficient; the dynamic wear rate of current braking is determined in combination with the accumulated net rotation angle; and triggering active calibration of the EMB system through the wear sensitive factor and the dynamic wear rate, determining a brake pad wear coefficient based on the wear sensitive factor, and correcting the target rotation angles of the left caliper and the right caliper. Therefore, the braking precision of the EMB system is improved.

The invention provides a vehicle anti-skid control method, device and system and a vehicle. According to at least one driving wheel of the vehicle, the chassis wheel speed, the actual wheel speed, the wheel end actual torque, the adhesion coefficient, the total wheel load, the target slip rate, the wheel radius and the vehicle speed are obtained; a feedforward control torque is determined according to an attachment coefficient, a total wheel load and a wheel radius, a wheel speed deviation is determined according to a target slip rate, a chassis wheel speed and an actual wheel speed, a torque deviation is adjusted through a vehicle speed, the attachment coefficient and the wheel speed deviation to obtain a feedback control torque, and the feedback control torque and the attachment coefficient are superposed to serve as an output torque for vehicle anti-skid control. Dynamic wheel load changes and wheel load changes caused by the vehicle on the ramp road surface are considered, the total wheel load is estimated in real time, feed-forward control is introduced to obtain the feed-forward control torque, feedback control is compensated, and the stability and accuracy of anti-skid control are enhanced when the ramp road surface and the loads change.

The invention relates to the technical field of electric vehicle control, and discloses a stability control method and system for an electric vehicle, and the method comprises the steps: collecting vehicle driving data in real time, and dynamically estimating the state parameters of the vehicle through an unscented Kalman filtering algorithm; according to the state parameters of the vehicle, combined with the kinematic model and the foresight trajectory, the expected yawing moment in a short time in the future is calculated, and the longitudinal traction requirement of the vehicle is obtained; and according to the state parameters of the vehicle and the longitudinal traction requirement of the vehicle, the yawing moment and the traction force are decoupled and distributed to the four electric driving wheel ends, and stable control over the electric vehicle is achieved. Compared with a traditional stable control system only based on closed-loop feedback, the stable control system has the advantages that the control response is faster, the yawing intervention is more accurate, and better control performance and vehicle safety are shown under the low-adhesion road surface and high-load working conditions.

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.

An electric vehicle charging station for charging electric vehicles includes a plurality of energy storage reservoirs configured to receive and store energy from one or more power sources and / or one or more power generators; one or more power heads for charging the electric vehicles at the electric vehicle charging station, the multiple power heads receiving electrical power from the plurality of energy storage reservoirs, the multiple power heads each being configured for releasably connecting to each of the electric vehicles for charging at the electric vehicle charging station; and a computer control system configured to monitor a charging demand at each of the one or more power heads and to connect one or more of the plurality of energy storage reservoirs to one or more of the power heads based on the charging demand of the one or more power heads.

The invention is applicable to the technical field of automobile steer-by-wire, and provides a fault-tolerant control method for a redundant steer-by-wire system based on dynamic torque distribution, which comprises the following steps: judging whether the steer-by-wire system has a fault according to vehicle state information, and if the current steering motor has a fault, entering a dual-motor fault-tolerant switching state; performing coordination control on the double motors according to a real-time fault diagnosis result, and determining expected torque and expected torque switching time of the current double motors; according to the expected torque and the expected switching time of the current double motors, the torque is smoothed by using a quintic S curve, and a torque switching curve of the double motors is obtained; and after the dual-motor torque switching curve is determined, a redundant motor torque curve is obtained through torque relation calculation, so that torque switching can be completed when the steering system breaks down. According to the method, torque switching can be rapidly and stably completed when the steer-by-wire system breaks down, and therefore the fault tolerance performance and driving safety of the steer-by-wire system are improved.

The invention discloses a chassis coordination control method and system based on tire side deviation state evaluation, and relates to the technical field of four-wheel steering four-wheel drive vehicle dynamics control. The method comprises the steps that an expected front wheel rotation angle is determined based on an expected steering wheel rotation angle input by a driver, and a front wheel rotation angle is determined; further determining a feed-forward front wheel steering angle, a feed-forward rear wheel steering angle and an additional yaw moment based on feed-forward control and feedback control, determining a first tire slip angle and a second tire slip angle based on a road adhesion coefficient, and further determining a wheel torque control weight, a feedback front wheel steering angle control weight and a feedback rear wheel steering angle control weight; and further determining a driving yaw moment, a feedback front wheel steering angle and a feedback rear wheel steering angle, determining a total longitudinal force based on an expected longitudinal acceleration input by a driver, and performing four-wheel torque distribution based on the total longitudinal force and the driving yaw moment to obtain a four-wheel driving torque. The driving stability of the vehicle under the limiting working condition can be improved.

A motor controller for pulse heating of a power battery. The motor controller includes an inverter circuit, the inverter circuit includes three switching transistor bridge arms, two ends of each switching transistor bridge arm are respectively configured to connect to positive and negative electrodes of the power battery through a direct current bus, and bridge arm midpoints of the three switching transistor bridge arms are separately configured to connect to a three-phase winding of a motor. The bridge arm midpoints of the three switching transistor bridge arms are configured to output a three-phase current, the three-phase current is used to generate a pulse alternating current on the direct current bus, and the pulse alternating current is used to heat the power battery. A current of each phase of the three-phase current is a unipolar triangular wave, and a sum of the three-phase current is zero.

An electric vehicle (EV) charging station for fast charging (e.g. 5 to 15 minutes) an electric vehicle (EV). The EV charging station can be configured to include one or more energy storage device comprising multiple electric reservoir modules.

The invention provides a distributed electric drive vehicle four-wheel differential torque enhanced steering control method and system, and belongs to the technical field of artificial intelligence risk prediction. The vehicle is provided with an upper-layer torque decision module, a lower-layer torque cooperation module and a vehicle-mounted sensor; selecting a pivot steering auxiliary strategy according to an actual driving scene, and pressing a function key to enter a working condition; vehicle dynamic information is obtained through a vehicle-mounted sensor, whether a vehicle is in an in-situ steering state or a small-radius steering state is judged by combining vehicle body static data, and when a selected function key is in an in-situ steering state or a small-radius steering state, the vehicle dynamic information is obtained in real time, and fuzzy reasoning and a neural network algorithm are combined. The ground attachment coefficient and the target yaw angle speed are intelligently judged, and therefore accurate control over the steering torque is achieved; or a double-controller structure is adopted, the torque of each wheel can be effectively distributed and adjusted under complex working conditions, and flexible control and stable running of the vehicle in a narrow space are ensured.

There is provided a vehicle control device including: an inverter that is configured to drive an electric motor; a DC / DC converter that is configured to step down a voltage output from a high voltage battery; a pre-charge circuit including a pre-charge switch; a voltage detector that is configured to detect an input voltage input to the inverter and the DC / DC converter; and a controller. When the input voltage is lower than the input voltage at the time when pre-charge of the inverter is completed, the controller is configured to determine that power supplied from a power supply of the DC / DC converter to the DC / DC converter is not normally stopped.

The invention relates to the technical field of electric vehicle control, in particular to an electric vehicle control method and system. The method comprises the following steps: acquiring background control terminal authority of the electric power intelligent inspection electric vehicle, extracting motor operation state data and analyzing current fluctuation change to obtain working condition conversion current fluctuation data, then performing equivalent fitting of motor permanent magnet demagnetization intensity, and analyzing a proportional relation between the motor permanent magnet demagnetization intensity and motor output torque loss; designing a motor field weakening control strategy by combining the demagnetization intensity and the output torque loss data, and developing motor control firmware based on the strategy; and finally, the firmware is sent to the electric vehicle control terminal, and the electric vehicle control method is executed. The electric vehicle control technology is optimized, so that the electric vehicle control technology is more perfect.

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 relates to the technical field of electric vehicles, in particular to an electric vehicle parking motor torque adjusting method. The problems that an existing electric automobile parking system is insufficient in parking force control precision, lagged in response and low in energy consumption efficiency under complex working conditions are solved. According to the method, a multi-dimensional vehicle running state, a driver instruction and environment sensing data are collected in real time, a vehicle-environment coupling dynamic model is established and updated in real time, then an adaptive model predictive control (AMPC) strategy is utilized, the future movement trend of a vehicle is predicted based on the dynamic model and a target parking demand, and the vehicle-environment coupling dynamic model is established and updated in real time. And the optimal torque instruction of the parking motor in the current control period is optimized and calculated, and the parking motor is driven to generate corresponding torque. High precision, high adaptability, high safety and high stability of parking torque adjustment can be achieved, the energy efficiency is effectively improved, the service life of parts is effectively prolonged, and the intelligent level is enhanced.

The invention discloses a distributed driving automobile control method. The method comprises the steps that 1, dynamic parameters of an automobile are collected in real time, and the equivalent adhesion coefficient of each wheel is calculated; 2, dividing types and optimizing torque distribution according to pavement adhesion coefficients: respectively adopting priority, uniform and dynamic weight distribution strategies for low, high and asymmetric pavements; 3, establishing a multi-objective optimization model, and solving an optimal torque distribution scheme considering the tire utilization rate and the yaw stability by using a quadratic programming algorithm; 4, compensating a torque error and motor response delay by adopting sliding mode control and a feedforward-feedback mechanism; and 5, the control parameters are dynamically corrected based on errors of the longitudinal acceleration and the yaw velocity, and torque limiting or safety mode switching is triggered. Through multi-strategy collaborative optimization, the stability and driving efficiency of the vehicle under different attachment road surfaces are improved, the tire slipping risk is reduced, and driving safety under extreme working conditions is guaranteed.

The invention discloses a vehicle control method and device and a vehicle. The method comprises the steps that in a current stroke determination period, when it is determined that an accelerator is released and a brake pedal is stepped down, the current stroke of the brake pedal is determined; if the difference value between the current stroke and the previous stroke of the previous stroke determination period is smaller than or equal to a preset difference value threshold value, the current deceleration is determined according to the current stroke, and the motor is controlled to decelerate according to the current deceleration and a proportional-integral control strategy; if the difference value between the current stroke and the previous stroke is larger than a preset difference value threshold value, or the duration of the maximum stroke of the current stroke reaches a first preset duration, an electromagnetic brake is controlled to conduct braking; and in the process of controlling the motor to decelerate, if the duration of the opposite actual rotation direction of the motor to the initial rotation direction reaches a second preset duration, updating the proportional-integral control strategy, and controlling the motor to operate according to the updated proportional-integral control strategy. According to the technical scheme, the vehicle can be better controlled.

A torque control apparatus in an electric vehicle includes a driving information detector that detects information indicating a vehicle driving state, a controller that generates a motor torque command for satisfying a demand torque based on vehicle driving information including the detected information, and a motor that is controlled according to the generated motor torque command. The controller determines whether there is a virtual shift demand according to the vehicle driving state in a drift mode, stops, when there is the virtual shift demand, determination and generation of a shift intervention torque for implementing a virtual shift feeling and determines a motor torque as a value that varies with a slope from a target torque before shift to a target torque after shift during virtual shifting in the drift mode, and generates the motor torque command using the determined motor torque as a command value.

The invention discloses a slip rate control method and device, electronic equipment and a vehicle. The method comprises the following steps: identifying the pavement state of each wheel according to the slip rate of each wheel; acquiring a reference slip rate according to the vehicle mode, the vehicle speed and the steering characteristics; the target slip rate of each wheel is set based on the reference slip rate, the vehicle speed and the road surface state of each wheel; obtaining a single-wheel target wheel speed of each wheel according to the target slip rate of each wheel; obtaining the single-wheel speed difference of each wheel according to the single-wheel target wheel speed of each wheel; judging the activation or quit of the slip rate control of each wheel by using the single-wheel speed difference; and when any wheel slip rate control is activated, the vehicle control unit VCU is used for adjusting the torque of the wheel, so that the slip rate of the wheel reaches the corresponding target slip rate. The target slip rate is set according to the actual condition when the vehicle runs, the wheels reach the target slip rate through the VCU, and the four-wheel independent drive vehicle can be well controlled.

The invention relates to the technical field of vehicle torque control, and provides a vehicle torque control method and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring a road slope corresponding to a road on which a target vehicle runs currently and a real-time slip rate of the current target vehicle; determining an actual road adhesion coefficient of each wheel in the target vehicle based on the road gradient; based on the actual road adhesion coefficient, determining an optimal slip rate corresponding to each wheel in the target vehicle; and under the condition that the target duration is larger than the first preset duration, the torque compensation mode is started to control the output torque of the target vehicle, and the target duration is the duration when the real-time slip rate is not smaller than a first preset slip rate threshold value. Through the method provided by the invention, the running stability of the target vehicle under the complex road condition is improved.

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.

A vehicle, a vehicle stability control method and apparatus, and a medium. The method comprises: establishing a lateral stability linear model of a vehicle, wherein in the lateral stability linear model, an additional yaw moment is used as a control quantity, both a mass-center sideslip angle and a yaw rate are used as state quantities correlated with a tire lateral force, and the tire lateral force is linearly correlated with a tire sideslip angle within a preset sideslip angle range; using, as a first optimization objective, the objective of the additional yaw moment meeting a target mass-center sideslip angle and a target yaw rate, and constructing a constraint condition of the first optimization objective on the basis of an additional torque capability range of each motor of the vehicle; and using, as a second optimization objective, the objective of enabling the output energy of each motor to be minimum, and decomposing the additional yaw moment into the additional torque of each motor on the basis of the second optimization objective and the first optimization objective having the constraint condition. The vehicle stability control can be realized with the minimum motor energy output, thereby improving the energy-saving effect.