706 results about "Maximum torque" patented technology

A braking energy recovery control method, comprising: when a vehicle satisfies a preset energy recovery condition, determining a required braking torque on the basis of a pre-stored correspondence between a moving depth and a braking torque of a braking pedal of the vehicle; on the basis of a preset priority distribution motor braking torque principle, an energy recovery maximum torque limit value and the required braking torque, determining an expected motor braking torque and an expected hydraulic braking torque; and on the basis of the expected motor braking torque, the real-time rotating speed and efficiency of a front-wheel drive motor of the vehicle, and the real-time rotating speed and efficiency of a rear-wheel drive motor of the vehicle, determining a target distribution ratio that maximizes the sum of recovery power of the front-wheel drive motor and recovery power of the rear-wheel drive motor. In this way, torque distribution of the front-wheel drive motor and the rear-wheel drive motor based on the target distribution ratio is conducive to performing braking energy recovery with maximum power, so as to increase the braking energy recovery efficiency. In addition, the present invention further relates to a braking energy recovery apparatus, a control system, a vehicle, and a medium.

The invention discloses a feedback field weakening control method and system for a surface-mounted permanent magnet synchronous motor, and the method comprises the steps: collecting a rotation speed feedback value of a motor, and controlling the operation of the motor through employing a maximum torque current ratio if the rotation speed feedback value is smaller than a rated rotation speed; calculating a first flux-weakening rotating speed according to the real-time load rate and the bus voltage fluctuation, and if a rotating speed feedback value of the motor is greater than the first flux-weakening rotating speed, entering a first flux-weakening mode: calculating a difference value between an output voltage amplitude and the bus voltage, generating a d-axis current compensation value, and performing load compensation and rotating speed compensation on the d-axis current compensation value to obtain a d-axis current given value; the maximum value of the q-axis current is calculated, given voltage values of the d-axis and the q-axis are generated, and the motor is driven to operate; and calculating a second flux-weakening rotating speed according to the q-axis current maximum value and the voltage margin, and if the rotating speed feedback value of the motor is greater than the second flux-weakening rotating speed, entering a second flux-weakening mode: further limiting the q-axis current maximum value through a current limit circle and a voltage limit circle on the basis of the first flux-weakening mode.

The invention discloses an electric drive multi-axle vehicle torque optimal distribution control method and system, and relates to the technical field of electric drive multi-axle vehicle energy consumption control, and the method comprises the steps: solving the optimal number of drive axles of an electric drive multi-axle vehicle and the drive torque of each drive axle through a first objective function; optimizing the maximum copper loss sequence within the safe temperature rise threshold of the motor by using a second objective function, and further obtaining the maximum torque which can be provided within the safe temperature rise threshold of the motor; according to the distribution strategy, the motor temperature rise rate can be delayed, the efficiency of the electric driving system can be improved, the number of driving shafts and torque distribution on all the driving shafts can be adjusted in real time when the temperature of a certain shaft motor is too high, the motor temperature rise is limited by dynamically adjusting the motor output torque, and therefore the motor temperature of all the shafts is balanced, the economical efficiency of the electric driving system is improved, and the cost is reduced. And the thermal fault probability of the motor is reduced.

A relationship between a torque of a motor and a braking force generated in the electric brakes has a hysteresis characteristic. When the torque increases, the braking force increases along a positive efficiency line, and when the torque decreases, the braking force decreases along an inverse efficiency line. A prediction unit predicts a change in the required braking force from the present onwards. An operating point adjuster stores a maximum torque on the positive efficiency line and a minimum torque on the inverse efficiency line corresponding to the maintained braking force. The operating point adjuster adjusts an operating point that maintains the braking force in an adjustment zone between the minimum torque and the maximum torque, based on a prediction information from the prediction unit. The torque command calculation unit calculates a torque command value for the motor at the operating point adjusted by the operating point adjuster.

The invention discloses a weight coefficient-free model prediction control system and method for a permanent magnet synchronous motor, and particularly belongs to the field of permanent magnet synchronous motor control. The control system comprises a direct current voltage source, a three-phase converter, a permanent magnet synchronous motor, a rotating speed outer ring PI control module, an MTPA flux linkage calculation module and a model prediction control module. The control method comprises the following implementation steps: firstly, establishing a torque and flux linkage prediction model of the permanent magnet synchronous motor; then, a reference torque amplitude value and a reference flux linkage amplitude value are obtained through a rotating speed outer ring PI controller and a maximum torque per ampere (MTPA) calculation module respectively; secondly, constructing an independent torque cost function and a flux linkage cost function according to the torque error and the flux linkage error, and forming a cascade form; evaluating the switching states by using a cost function, selecting two vectors from the eight switching states of the converter by using the independent cost function of the torque (or flux linkage), and selecting an optimal vector from the two vectors by using the independent cost function of the flux linkage (or torque); and finally, the execution sequence of the torque and flux linkage cost function is alternated in each subsequent period. Compared with the prior art, the method avoids complex weight coefficient design through a cost function cascading mode, alternates the execution sequence of the cost functions in each period, dynamically balances the weights of the two control targets, and reduces the number of calculation times.

The invention belongs to the technical field of electric actuating mechanism testing, and particularly discloses a comprehensive testing device of an electric actuating mechanism, which comprises a base plate, an operation table is fixed at the top of the base plate, a first adjusting groove is formed in the top of the operation table close to the edge of one side, and a second adjusting groove is formed in the top of the base plate. A second adjusting block is slidably connected into the second adjusting groove, a fixing plate is fixed to the top of the second adjusting block, and an oil tank is fixed to the position, close to the edge of one side, of the top of the fixing plate. According to the invention, by arranging the adjusting assembly, the feedback assembly and the protection assembly, the maximum value of the torque during testing of electric equipment with different powers can be adjusted, and meanwhile, in the torque testing process of the electric equipment, when the torque of the electric equipment reaches the maximum value, the electric equipment operates normally, interference is prevented, and the testing efficiency is improved. Moreover, the contact part of the feedback assembly is protected during normal operation after the electric equipment is tested, and the contact part is prevented from being damaged by dry friction.

A rotating power tool assembly may include a rotating power tool and a torque control accessory. The rotating power tool may include a tag sensor and an electronic torque limiter operably coupled to an electric motor and a spindle. The electronic torque limiter being controllable by control circuitry to adjust a maximum torque output to the spindle. The torque control accessory may include a torque indicator tag and a visible torque value indicia. The torque control accessory being removably attachable to the rotating power tool. The torque indicator tag being configured to output a tag signal that indicates a maximum torque value associated with the torque control accessory for receipt by the tag sensor to control the torque limiter. The visible torque value indicia may also indicate the maximum torque value.

Disclosed is a method for aligning two components (31, 33) of a projection exposure apparatus (1, 101) for semiconductor lithography, comprising:inserting at least one mandrel (30, 50) of a first component (33) into a recess (94) in a second component (31) in the z-direction,preloading the mandrel (30, 50) perpendicular to the z-direction to a predetermined torque for pre-positioning the two components (31,33) in relation to each other in the x-y plane,positioning the two components (31, 33) in the z-direction until they are in contact with a contact force FA,bracing the mandrel (30, 50) with the recess (94) with maximum torque,positioning the two components in the z-direction until the first component (31) rests on the second component (33) with maximum weight force Fmax.Also disclosed is device for aligning the two components (31, 33) comprises the mandrel.

The invention discloses a method for determining the maximum torque of an oil-cooled motor, a terminal and a storage medium, and the method comprises the steps: obtaining the peak torque and continuous torque of the oil-cooled motor at the current rotating speed according to the current water temperature of a water-cooled loop in response to the situation that the flow of an oil-cooled loop is smaller than a flow threshold value, and determining the maximum torque of the oil-cooled motor at the current rotating speed according to the current oil temperature of the oil-cooled loop; determining a first maximum torque corresponding to the current rotating speed of the oil-cooled motor according to the current rotating speed of the oil-cooled motor and the peak torque and / or the continuous torque; acquiring a limited power coefficient of the oil-cooled motor, and determining a second maximum torque of the oil-cooled motor at the current rotating speed by using the peak torque, the continuous torque and the limited power coefficient; wherein the oil-cooled motor can continuously and safely run under the second maximum torque; and selecting the minimum one from the first maximum torque and the second maximum torque as the target maximum torque of the oil-cooled motor at the current rotating speed. According to the scheme, on the premise that safe operation of the oil-cooled motor is guaranteed, the output performance of the oil-cooled motor is fully released.

The invention provides a transmission shaft torque detection device and system, and relates to the technical field of sensors. The device comprises a torque sensor tone wheel, a magnetoelectric torque sensor and a torque signal processor. The torque sensor tone wheel is fixedly arranged on the shaft head of the transmission shaft; magnetic steel assemblies are arranged on the torque sensor tone wheel at intervals in the circumferential direction. The acquisition end face of the torque sensor faces the magnetic steel assembly on the torque sensor tone wheel, and the torque sensor is used for acquiring an induced magnetic field generated by the magnetic steel assembly driven by the rotation of the torque sensor tone wheel; the torque signal processor determines a torque signal based on the induced magnetic field and preset calculation parameters; wherein the preset calculation parameters comprise a tail transmission shaft torque rigidity value, a torque maximum value, a rated torque value and a torque angle; through the arrangement of the magnetoelectric torque sensor and the matched induced magnetic field generation assembly and signal processing assembly, the measurement accuracy of the torque of the transmission shaft is greatly improved in a heavily polluted environment.

The invention discloses a dual three-phase permanent magnet synchronous motor maximum torque current ratio control method and system based on virtual signal injection, and the method comprises the steps: injecting a bipolar square wave signal into a current vector angle, and calculating the d-q axis current after the bipolar square wave signal is injected through the current vector angle of the bipolar square wave signal; the d-q axis current after the bipolar square wave signal is injected is substituted into the corrected torque equation, the positive polarity torque Tup and the negative polarity torque Tdown of the dual three-phase permanent magnet synchronous motor are calculated and are expanded according to the Taylor series, when the difference between the Tup and the Tdown expanded according to the Taylor series is equal to 0, the difference between the Tup and the Tdown passes through a PI controller and then is superposed with an initial current vector angle beta, and the initial current vector angle beta is obtained. And obtaining a current optimal current vector angle, and calculating a d-q axis reference current required by the dual three-phase permanent magnet synchronous motor. According to the invention, accurate control of the maximum torque current ratio is realized.

The invention discloses a driving control method and device applied to a new energy commercial vehicle, a medium and equipment, and relates to the technical field of vehicle driving control. After the driving mode information is obtained and the driving mode is determined to be the automatic mode, the opening degree information, the actual load data, the front axle temperature and the rear axle temperature of the accelerator pedal can be obtained in real time, and then the required torque is determined according to the opening degree information. And obtaining the total load, the temperature of the rear axle, the maximum torque of the front axle and the maximum torque of the rear axle. When the ratio of the actual load data to the total load is larger than or equal to a first preset value, or the required torque is larger than or equal to the maximum torque of the front axle and larger than or equal to the maximum torque of the rear axle, a double-axle driving signal can be output. And when it is determined that the rear axle temperature is smaller than the rear axle temperature and the required torque is smaller than the rear axle maximum torque, a rear axle driving signal can be output. Therefore, based on the current state of the new energy commercial vehicle, the driving strategy is automatically adjusted, and the driving performance and the endurance mileage are both considered.

The invention discloses a motor torque calibration method, device and equipment for an electric heavy truck and a storage medium, and the method comprises the steps: obtaining a current motor rotating speed of the electric heavy truck, carrying out the segmented calibration of the motor rotating speed, and obtaining a rotating speed segmented calibration result; determining a corresponding torque correction amount according to a rotation speed segmented calibration result, calibrating a maximum torque current ratio control MTPA curve under the target rotation speed according to the torque correction amount and the voltage grade compensation amount, and obtaining calibration data; according to the method, the calibration data is subjected to Excel inspection, the target calibration data passing the inspection is subjected to calibration precision verification, and the final calibration data is output after the verification is passed, so that the motor calibration period can be remarkably shortened, the full-speed-domain torque precision is improved, the manual intervention and the standardization process are reduced, and the research and development cost and the quality risk are greatly reduced; rapid and high-precision calibration of the motor torque in a full-speed-domain and multi-voltage scene is realized, and the speed and efficiency of motor torque calibration of the electric heavy truck are improved.

The invention discloses a vehicle driving motor torque control method and electronic equipment. The method comprises the steps of obtaining required torque of a driving motor, actual rotating speed of the motor and actual acceleration of a vehicle; determining a corresponding maximum torque limit value according to the actual motor rotating speed and the actual acceleration; and taking the minimum value of the required torque and the maximum torque limit value as the final output torque, and controlling the driving motor by adopting the final output torque. According to the invention, the motor output torque can be adjusted actually based on the vehicle acceleration, so that the vehicle is driven at a relatively ideal acceleration, and the vehicle driving feeling is improved. Meanwhile, when the rotating speed of the motor changes drastically and motor control is unstable, motor overcurrent is prone to occurring, however, the torque limiting value is calculated based on the acceleration, torque can be limited in advance under the working condition with the very high motor rotating speed change rate, and the risk of motor overcurrent occurring under the working condition that the vehicle slips very seriously is reduced.

The invention belongs to the field of motor control, and relates to a permanent magnet synchronous motor MTPA control method based on end-to-end reinforcement learning, in a motor control system, motor current and rotating speed collected in real time are constructed into a state vector, a trained intelligent agent is input for reasoning, and control voltage is output as an action vector. Finally, a voltage instruction is correspondingly generated to drive a motor; the network structure of the intelligent agent is constructed based on a TD3 algorithm, training data of the intelligent agent comprises random motor physical parameters and dynamic motor working condition rotating speed, iterative training of the intelligent agent is based on a dynamic reward function, and the intelligent agent is guided to converge automatically through the dynamic reward function. According to the method, a control strategy of directly mapping the rotating speed and the current state of the motor to the optimal voltage instruction can be obtained, so that rotating speed tracking is met, the maximum torque-current ratio working point is spontaneously converged, and the method has adaptive compensation capability for parameter nonlinear drift in motor operation.

The invention discloses a steering fault-tolerant control strategy suitable for a three-axis modular distributed electric drive heavy-duty vehicle. Determining a six-wheel rotation angle of the health system according to the steering multi-model set, and establishing a model; the input quantity is the front wheel turning angle of the three shafts, and the vehicle yaw velocity is solved by combining the longitudinal velocity of the vehicle; parsing driver pedal input as a target longitudinal speed; setting total driving force and total yawing moment control quantity, and obtaining total driving force and total yawing moment by using a model predictive control algorithm; according to the relation between the longitudinal force and the slip rate and between the lateral force and the slip rate of the tire, the lateral force borne by the fault wheel is minimized, the rotating speed and the driving torque of the fault wheel are calculated, and a cost function is set with the tracking error of the total driving force and the total yawing torque and the attachment rate of the healthy wheel as soft constraints; the maximum torque and the minimum torque which can be output by the hub motor serve as hard constraints, and a multi-objective optimization problem is established and solved; and finally issuing the control quantity. According to the method, steering fault-tolerant control of the three-axle six-wheel vehicle is realized.

The invention discloses a hybrid power parameter determination method and device and electronic equipment, and relates to the field of vehicle design, and the method comprises the steps: determining the engine displacement of which the average operation power of an engine is consistent with a target fuel consumption area according to the average operation power, the torque standard deviation, the maximum torque fluctuation value and the fuel type in a vehicle road spectrum; according to the method, the determined engine can work in the interval with higher efficiency, the fuel economy is improved while the conventional power requirement is met, and the engine cost is reduced. The rated power of the motor is further determined according to the maximum operation power in the vehicle road spectrum and the target engine external power, and the target engine external power is the external power corresponding to the target vehicle speed or the target rotating speed under the maximum operation power. And determining the battery capacity according to the rated power of the motor, the climbing duration in the vehicle road spectrum and the battery adjustment coefficient. And on the basis of the engine, motor driving is matched to increase the endurance mileage, and the economy of the whole vehicle is improved.

The invention discloses a calibration method and system for bench data of a permanent magnet synchronous motor. The calibration method comprises the following steps: generating chart data corresponding to torque and rotating speed from set motor data by using a simulation model; loading the given maximum current saturation value, the estimated maximum current saturation value, the current value corresponding to the maximum torque current ratio direct axis, the current value corresponding to the maximum torque current ratio quadrature axis, the direct-axis flux-weakening current and the quadrature-axis flux-weakening current to a field-oriented control algorithm, programming the field-oriented control algorithm to a motor controller, and performing rack verification; and outputting optimal current data to complete calibration. According to the method, the excitation current data and the torque current data corresponding to the second quadrant and the third quadrant in the current limiting ring do not need to be manually scanned, and the rack data calibration time can be shortened on the whole, so that rack resources are reduced, and the purposes of reducing cost and improving efficiency are achieved.

The invention discloses a vehicle control method and device based on a permanent magnet motor. The method comprises the steps of determining a torque output value according to a current rotating speed instruction and an actual rotating speed of a motor based on a rotating speed control strategy in a current rotating speed control period; determining the current required torque according to the torque output value, the current torque limit value and the maximum torque of the motor; determining the current state of the motor at least according to the symbol of the actual rotating speed and the symbol of the current required torque; wherein the current state comprises an electric state or a braking state; the symbols comprise a positive sign and a negative sign; determining a first target current and a second target current according to a first preset corresponding relation corresponding to the current state, the current demand torque, the actual rotating speed and the symbol of the current demand torque; when the current states of the motor are different, the corresponding first preset corresponding relations are different; and controlling the voltage output to the motor according to the first target current and the second target current. According to the technical scheme, the accuracy of vehicle control is improved.

The invention provides a torque control method of a vehicle, the vehicle and a storage medium, the method is applied to the vehicle, the vehicle comprises a first axle and a second axle, a power source of the first axle comprises a first motor and an engine, a power source of the second axle comprises a second motor, and the first axle is connected with a first wheel. The method comprises the steps that if it is detected that the slip rate of a first wheel is larger than a preset first threshold, the current driving mode of the vehicle is determined; if the driving mode is a hybrid mode, a target torque reduction value corresponding to the first axle and the maximum torque reduction value currently supported by the first motor are obtained; and if the target torque reduction value corresponding to the first axle is smaller than or equal to the maximum torque reduction value, the first motor is controlled to reduce torque, so that the first wheel stops slipping. According to the method, a torque control transmission link can be shortened, so that the response time of torque control is shortened.

The invention relates to a permanent magnet synchronous motor full-working-condition design method considering driver constraints, and belongs to the technical field of permanent magnet synchronous motor design, and the method comprises the following steps: building a mathematical model of a permanent magnet synchronous motor; calculating the electromagnetic relation of the motor in the constant torque maximum torque / current control mode; calculating the electromagnetic relation of the motor under the constant-power weak magnetic control; and according to the model and the electromagnetic relationship, carrying out full-condition design on the motor. Based on the mathematical model and the control mode of the permanent magnet synchronous motor, by analyzing the influence of the direct current bus voltage and the inverter circuit output current on the maximum rotating speed, the maximum torque and the current density of the motor, the constraint condition of the driver performance on the motor design can be determined. According to the method, whether the electromagnetic performance of the design scheme reaches the standard or not can be calculated and analyzed more quickly, and the design efficiency is improved.

The invention discloses a permanent magnet auxiliary synchronous reluctance motor control method and system considering eddy current reaction, and the method comprises the steps: building a motor magnetic impedance model considering the eddy current reaction effect, the magnetic saturation effect and the dq-axis cross coupling effect based on a vector magnetic circuit theory; calculating the magnetomotive force of the armature winding and the permanent magnet magnetomotive force of the interpolated ferrite; obtaining a stator flux linkage equation based on magnetomotive force and the motor magnetic impedance model; based on the stator flux linkage equation and the voltage equation, constructing a multi-factor coupled permanent magnet auxiliary synchronous reluctance motor control model; measuring a magnetic induction coefficient value in the motor magnetic impedance model based on a vector magnetic circuit theory magnetoelectric power law; and designing the maximum torque current ratio control method of the permanent magnet auxiliary synchronous reluctance motor based on the multi-factor coupled motor control model. According to the method, the reaction of the eddy current in the permanent magnet auxiliary synchronous reluctance motor on the stator flux linkage is quantitatively considered, the method has definite physical significance and higher modeling precision, and performance improvement of a control system is facilitated.

The invention relates to the technical field of vehicles, in particular to a power control method, device and equipment during starting of an electric commercial vehicle and the vehicle. The method comprises the steps that the starting acceleration state and the starting steering are determined based on starting related information of the electric commercial vehicle, and the starting related information comprises the vehicle speed, the gear, the accelerator opening degree, the accelerator opening degree change slope and the steering wheel rotating angle; when it is detected that an obstacle avoidance object exists in the vehicle blind area and the starting acceleration state is urgent acceleration, the maximum torque and steering assistance corresponding to starting steering are determined according to the load of the electric commercial vehicle; and performing power control on the electric commercial vehicle according to the maximum torque and the power-assisted steering. The problem that in the prior art, the braking force needed by the vehicle cannot be controlled according to the vehicle load and the starting emergency degree is solved.

A feedforward control method for an electrified powertrain including a torque transfer device arranged between an electric motor and a transmission includes monitoring a set of operating parameters of the electrified powertrain, determining a desired input speed for the torque transfer device based on the set of operating parameters, determining a desired input torque for the torque transfer device based on a characteristics model or map of the torque transfer device and the desired input speed, performing an observer-based determination of a final feedforward torque for the torque transfer device based on the desired input speed, the desired input torque, a filtered actuator achieved torque for the electric motor, and minimum and maximum torque limits for the transmission, and controlling the electric motor based on the final feedforward torque for the torque transfer device.

The invention discloses a performance analysis method for a topological structure of a multi-topology axial flux permanent magnet motor based on electromagnetic-thermal coupling, and the method comprises the steps: firstly building three-dimensional electromagnetic finite element models of four typical axial flux permanent magnet motors, and calculating electromagnetic loss including iron core loss, copper loss and permanent magnet eddy current loss; importing the loss data into a three-dimensional fluid-thermal coupling model, and simulating the temperature rise of the motor under a natural cooling condition; the performance of the motor is subjected to double constraints of winding insulation and irreversible demagnetization temperature of a permanent magnet, so that the maximum current density of safe steady-state operation of the motor is determined and identified by adopting an iterative electromagnetic-thermal coupling analysis method, and the maximum torque density of each topological structure is evaluated under thermal constraints. The electromagnetic performance and the thermal constraint can be coupled, so that the optimal performance achieved by different axial magnetic flux permanent magnet motor topological structures can be compared, and the problem of inaccurate performance evaluation caused by neglect of the thermal constraint in the existing motor design is solved.

A method of operating a hybrid electric powertrain (HEP) may include determining, based on a HEP torque demand and a maximum torque limit for a gas turbine engine having a mechanical output coupled to a power shaft of the HEP, a target torque for the gas turbine engine. The method may also include controlling the gas turbine engine to operate according to a target speed or the target torque. The method may also include, while operating the gas turbine engine according to the target speed or the target torque, determining, based on the HEP torque demand and the target torque, a total torque compensation demand for an electric machine having a mechanical output controllably couplable to the power shaft of the HEP, and operating the electric machine according to the total torque compensation demand.

The invention relates to a stabilization self-adaptive control method and device based on double gyroscopes, and the self-adaptive control method comprises the steps: constructing a real-time updated'sea wave-ship-double gyroscope 'coupling dynamic model, and introducing the online identification of ship rolling parameters; physical limit, damping, maximum torque and other constraints of the double-gyroscope executing mechanism are explicitly written into a control law; the two gyroscopes are symmetrically arranged and opposite in precession direction, so that yawing torques are mutually counteracted and rolling torques are superposed, and the stabilization efficiency is improved; adaptively selecting PID according to the rolling amplitude, the sea condition uncertainty and the working state of the actuator, and adaptively switching the fuzzy adaptive PID and the model prediction control strategy; calculating a control instruction based on the selected strategy and the updating model, and performing physical constraint processing such as torque saturation and angle amplitude limiting; and outputting a safety instruction to drive the gyroscope to generate stabilization torque. The method can adapt to different working conditions, and the efficient and stable active stabilization performance and stabilization effect are kept under the multiple working conditions.

The invention relates to a motor torque control method and system, electronic equipment and a medium. The method comprises the steps that the accelerator pedal opening change rate of a driver is recognized; under the Tip in working condition, whether the accelerator pedal opening change rate exceeds a preset threshold value or not is judged, and mean filtering is executed to smooth accelerator pedal opening change; the smoothed accelerator pedal opening degree is input into the maximum torque mapping relation, and the target torque of the motor is obtained; limiting the rise rate of the motor target torque according to the current speed of the vehicle, synthesizing the actual target torque of the motor and sending the actual target torque to the controller; under the working condition of Tip out, the torque direction of the motor is judged, whether reverse torque does not appear or not is met, and the target torque decline rate of the motor is calculated and adjusted in real time; when the reverse torque exists, the motor torque reduction rate is set according to the vehicle speed, and the motor torque is gradually transited from a positive value to a negative value through smooth processing of zero crossing point transformation; and the actual target torque of the motor acts on the vehicle, and stable operation of a transmission system is achieved.

The invention discloses a hybrid electric vehicle engine working point selection and torque distribution method. The method comprises the steps that a whole vehicle domain controller obtains an engine fuel conversion rate contour map; obtaining an optimal torque point selection curve, a maximum torque point selection curve and a minimum torque point selection curve on the contour map of the fuel conversion rate of the engine; comparing the actual residual electric quantity of the automobile with the target residual electric quantity to obtain an automobile charging / discharging demand working condition; acquiring the required torque of the engine, and comparing the required torque with the optimal torque point selection curve, the maximum torque point selection curve and the minimum torque point selection curve to obtain a torque stage; the whole vehicle domain controller combines the vehicle charging / discharging demand working condition and the torque stage to obtain the working condition of an engine working point; and when the working point of the engine is switched from one working condition to another working condition, the engine meets the switching condition and is switched after being prolonged for a certain time. The working state of the engine is switched from the transient state to the steady state, and the economical efficiency and the NVH characteristic of the automobile are improved.

The invention discloses a permanent magnet synchronous motor wide speed range model prediction control method and system based on a mean value reduction optimization algorithm, and belongs to the technical field of motor control. According to the method, a discrete mathematical model of the permanent magnet synchronous motor is established under a d-q rotating coordinate system, a q-axis current reference value is generated by an outer ring through a speed PI regulator, and a d-axis current reference value is calculated in combination with a maximum torque per ampere (MTPA) principle and a weak magnetic region voltage constraint; finite control set model prediction control is adopted in an inner ring, enumeration prediction is conducted on candidate voltage vectors of the three-phase voltage source type inverter, a cost function containing a d-axis current error, a q-axis current error and an electromagnetic torque error is constructed, an optimal voltage vector is selected, and a three-phase PWM signal is generated through space vector pulse width modulation to drive a motor. The system is provided with a mean value reduction optimization module, joint optimization is carried out on speed outer ring PI parameters and cost function weight coefficients in the off-line stage, the parameters are stored in a lookup table, and automatic setting of control parameters is achieved. The permanent magnet synchronous motor can improve the dynamic response performance of the rotating speed and the current in the base speed area and the weak magnetic area, reduce the total harmonic distortion of the stator current, improve the voltage utilization rate and the overall operation efficiency of the permanent magnet synchronous motor, and is suitable for occasions such as electric vehicle driving and high-performance servo systems.