777 results about "Power performance" patented technology

The invention relates to the technical field of driving torque control of vehicles, in particular to a driving torque safety auxiliary control system based on multi-sensor data fusion. Comprising a sensor module, a multi-sensor data fusion and processing module and a self-adaptive driving torque revision module, the sensor module is used for detecting the speed, the position, the motion information, the road surface information, the surrounding environment and the like of the vehicle. The invention provides a driving torque safety auxiliary control system based on multi-sensor data fusion, and aims to optimize driving torque control of an electric vehicle and improve dynamic response precision, safety and stability of the vehicle under various complex road conditions. By integrating data from a plurality of sensors in real time, the driving state, the external environment and the vehicle position information of the vehicle are accurately sensed, and the driving torque output of the vehicle is dynamically and auxiliarily adjusted in combination with the information, so that the optimal power performance and control stability of the vehicle under different working conditions can be ensured.

The invention relates to the technical field of agricultural equipment, in particular to a hybrid tractor whole machine dynamic property evaluation method fusing multiple working condition parameters, which comprises the following steps: acquiring an environment working condition parameter set, an operation task parameter set and an energy flow dynamic parameter set in real time; a dynamic coupling relation mathematical model is constructed based on the parameter set, the whole machine dynamic property characteristic values of the steady state working point and the transient working point are calculated respectively, and a whole machine dynamic property evaluation index set is generated; inputting the evaluation index set into a hardware-in-the-loop simulation platform, and verifying the effectiveness of the evaluation indexes through multi-modal working condition simulation; and constructing a three-dimensional dynamic property evaluation map based on the verified evaluation indexes, dividing dynamic property partitions, outputting the dynamic property partitions to the vehicle-mounted intelligent terminal in real time, and generating a self-adaptive control instruction set when entering a failure area. According to the invention, multi-source information fusion modeling, all-working-condition dynamic response evaluation and visual map feedback can be realized, and the dynamic adaptability and regulation and control intelligence of the hybrid tractor in a complex operation scene are improved.

The invention provides a control mode switching method and device, a vehicle and a storage medium, the method is applied to the technical field of vehicles, and the method comprises the steps that in the process that the vehicle is switched from a pure electric four-wheel drive mode to a direct drive mode, if a target gear is an odd gear, whether the odd gear is available or not is judged; when it is determined that the odd gears are unavailable, whether the vehicle meets the preset condition of switching to the series connection mode or not is judged; and under the condition that it is determined that the vehicle meets the preset condition, an engine of the vehicle is controlled to be in a running state, and a second clutch is controlled to be closed, so that the vehicle is switched to a series connection mode from a pure electric four-wheel drive mode. The method can ensure the power performance of the vehicle, improve the driving safety of the vehicle, and avoid the safety problem caused by stall of the vehicle due to power shortage of a high-voltage battery since the engine is frequently started and the engine is forbidden to start after the engine is frequently started.

The invention discloses a fuel cell hybrid electric heavy truck power source optimization design method and system, and the method comprises the steps: building a target function of the total cost per unit travelled distance in a life cycle based on the basic parameters of a fuel cell, a power cell and a super capacitor, and the degradation parameters and hydrogen consumption of the fuel cell and the power cell; an energy management strategy of the fuel cell hybrid electric heavy truck is established based on the average required power of the truck and the SOC of the power cell and the super capacitor; and a cancer cell competition and transfer algorithm is adopted, under an energy management strategy, a minimum objective function meeting the driving working condition is searched, and energy size optimization is completed. According to the method, the power source of the fuel cell hybrid electric heavy truck is subjected to global optimization design by adopting the cancer cell competition and transfer algorithm, the service life of the power source is prolonged while the power performance of the truck is guaranteed, the manufacturing cost, degradation cost and hydrogen consumption of a hybrid power system are remarkably reduced, and the energy efficiency of the system is improved.

The invention discloses an electric tractor with a power suspension and an endurance control system and method, and relates to the technical field of electric tractors, and the endurance control system comprises a data acquisition module used for acquiring target data; the control module is used for determining the distribution proportion of the driving torque of the tractor and the driving torque of the power trailer according to the driving torque required by the whole vehicle and the driving working condition of the whole vehicle when the ratio of the electric quantity of the power battery pack of the tractor to the electric quantity of the power battery pack of the power trailer is within a set proportion range; when the ratio is greater than the upper limit of the set proportion range, reducing the driving torque of the power trailer and increasing the driving torque of the tractor; when the ratio is smaller than the lower limit of the set proportion range, the driving torque of the power trailer is increased, and the driving torque of the tractor is reduced. The endurance mileage of the electric tractor is increased, and the power performance of the electric tractor is enhanced.

The invention relates to the technical field of wind power generation and big data, in particular to a method and a system for identifying low efficiency of power generation performance of a wind generating set, which can quickly discover the low efficiency problem of the power generation performance of the wind generating set through data collection, processing and analysis. Comprising the steps of collecting data and performing primary processing to obtain first-class data; further processing and correcting the first-class data to obtain second-class data; then, further calculating and determining the power performance of the unit based on the second-class data; and finally, comparing the unit power obtained by calculation with the standard, and detecting the change trend of the performance of the unit in real time in combination with a monitoring and early warning mechanism. Through cooperative work of the data processing module, the correction calculation module, the power evaluation module and the monitoring and early warning module, the power generation performance degradation condition of the wind turbine generator can be found in advance, early warning can be triggered in time, operation and maintenance personnel are helped to take effective measures, and therefore power generation performance loss is reduced.

The present invention relates to a new energy ship battery power control method and a system. Each battery pack correspondingly supplies power to one bus, one bidirectional DC-DC converter is arranged between two adjacent buses to form a bus loop, and a load correspondingly draws electrical power from a corresponding bus loop segment; a power supply state of each bus area is checked, and by controlling the bidirectional DC-DC converter between buses, surplus energy of one bus is distributed to another bus having insufficient energy. According to the solution, a low DC-DC capacity configuration is achieved, energy between battery packs can be flexibly scheduled, the remaining electrical power between battery packs can be effectively balanced, the system risk is low and controllable when a bus is short-circuited, the power performance of a ship is not reduced when a single point of failure occurs, and the reliability and safety of the ship are effectively improved.

The invention relates to the technical field of electric vehicle thermal management, discloses an electric vehicle motor and driver integrated intelligent cooling system and a control method, and aims at solving the problems that an existing motor driver thermal management system is low in cooling efficiency, high in energy consumption, complex and insufficient in space utilization rate. The method comprises the following steps: acquiring operation, thermal state and environment data; constructing a collaborative thermal model and predicting a thermal load; generating an optimal cooling strategy based on the predicted value and the target; the cooling liquid pump, the three-way valve and the cooling fan are adjusted, and cooling resources are dynamically distributed to achieve collaborative cooling. The system comprises a data acquisition module, a collaborative thermal model construction prediction module, an intelligent decision control module and an integrated cooling circulation execution module. By the adoption of the technical scheme, the cooling performance can be effectively improved, system energy consumption and complexity are reduced, space layout is optimized, the service life of parts is prolonged, and the reliability, the power performance and the endurance of the whole vehicle are improved.

A vehicle control method and apparatus, a storage medium, and a vehicle, relating to the field of vehicle control. The method comprises: acquiring a state of charge (SOC) value of a power battery of a vehicle; and when the SOC value is outside a first preset interval, adjusting the current output power of a fuel cell on the basis of the SOC value, so that the SOC value is within the first preset interval. After the SOC value of the power battery of the vehicle is compared with the first preset interval, the output power of the fuel cell of the vehicle is adjusted on the basis of the SOC value, so that the SOC value of the vehicle is within the first preset interval. Thus, the output power of a fuel cell of a vehicle is controlled during operation of the vehicle, thereby avoiding a high throughput, a large temperature rise and a short service life of a power battery of the vehicle caused by a large fluctuation of an SOC value of the power battery, and a reduction in power performance of the whole vehicle under a low SOC value.

The invention discloses a mixing valve opening degree request control method, which comprises the following steps of: determining a power reduction sub-correction coefficient according to a correction condition of the reduction sub-correction coefficient, and determining an emission sub-correction coefficient according to a correction condition of the emission sub-correction coefficient; when the activation condition is satisfied, determining an updated learning update coefficient; a second multiplication correction coefficient is obtained according to the power reduction sub-correction coefficient, the emission sub-correction coefficient and the updated learning updating coefficient; and the final mixing valve opening change rate is calculated according to the multiplication correction coefficient 2. According to the method, on the basis of the purposes of improving emission and improving the dynamic property, the control precision of an EGR system is balanced, the control precision of an air inlet system is improved, and the change rate of the opening degree of the mixing valve is controlled and optimized by continuously updating the correction coefficient in the process from non-full-opening to full-opening of the mixing valve.

The embodiment of the invention discloses a double-motor electric drive axle vehicle control method and system. The double-motor electric drive axle vehicle control method comprises the steps that accelerator pedal opening degree information, vehicle speed information, acceleration information, battery electric quantity information and load weight information are collected in real time; according to the accelerator pedal opening degree information, the vehicle speed information, the acceleration information, the battery electric quantity information and the load weight information and a pre-established multi-parameter complex working condition judgment model, the current working mode of the vehicle is determined; and according to the current working mode of the vehicle, the working state of at least one of the engine and the two motors is adjusted in real time. According to the control method, various working condition factors can be comprehensively considered, efficient operation of the double-motor electric drive axle vehicle in various modes is accurately controlled, the double-motor electric drive axle vehicle can be kept in the optimal working state in the whole scene, the power performance and the cruising ability of the vehicle are improved, energy consumption is reduced, and the service life of the vehicle is prolonged. And the requirements of the heavy-duty commercial vehicle in diversified application scenes such as logistics transportation and engineering operation are met.

The invention discloses a control method, device and equipment of a hydrogen engine and a storage medium. The control method comprises the steps that the engine rotating speed and the engine torque are obtained; under the transient working condition of the engine, the operation area of the engine is determined according to the engine rotating speed and the engine torque; and controlling the driving motor, the mechanical transmission assembly or the exhaust gas turbine according to the operation area. According to the technical scheme, the engine rotating speed and the engine torque are obtained in real time, the operation area of the engine is judged, different supercharging modes are determined through the waste gas turbine, the driving motor and the mechanical transmission assembly according to the operation area of the hydrogen engine, the problem that the transient dynamic performance is poor is effectively solved, and the application range is wide. The transient dynamic performance of the hydrogen internal combustion engine is improved, and efficient cleaning application is achieved.

The invention relates to an intelligent control technology of an internal combustion engine, in particular to a multivariable cooperative control method of a dual-fuel engine, which realizes dynamic optimization matching of fuel injection and an air system through deep reinforcement learning and multivariable decoupling control technologies. According to the method, a dual-fuel engine multivariable cooperative control system based on deep reinforcement learning and dynamic decoupling is constructed, the dual-fuel engine multivariable cooperative control system is composed of an air system control layer, a multivariable decoupling layer and a fuel injection control layer, and the air system control layer controls the fuel injection control layer through a TD3-PID algorithm according to the vehicle speed, the vehicle speed and the vehicle speed. The rotating speed N, the torque T, the common rail pressure Prail, the fuel temperature Tfuel and the mixed fuel density rho mix are operated in real time to serve as state variables, data are collected and processed, and the dynamic adjustment amount of the electronic throttle valve is obtained; by means of a PSO-PID decoupling mechanism and a DDPG-PID intelligent control algorithm, decoupling regulation and control over the dual-fuel dynamic ratio, the EGR rate and the supercharging pressure according to working condition changes are achieved, the economical efficiency, the emission performance and the dynamic performance of the dual-fuel engine under the dynamic operation working condition are remarkably improved, and the method has the advantages of being high in self-adaptive capacity and high in robustness.

The invention relates to an intersection vehicle converging control optimization method and system for an extended-range power distribution vehicle. The method comprises the following steps: identifying and marking all high-power road sections in a predetermined driving route; calculating a required power value of each high-power road section, performing association, and obtaining a dynamic execution SOC threshold value corresponding to each high-power road section based on the required power value; detecting a real-time SOC threshold value of the battery according to a high-power road section which is about to arrive, and controlling the battery to output power according to an associated demand power value before the vehicle drives into the high-power road section under the condition that the real-time SOC threshold value is higher than a corresponding dynamic execution SOC threshold value; and under the condition that the real-time SOC threshold value is lower than the corresponding dynamic execution SOC threshold value, before the vehicle drives into the high-power road section, a range extender of the vehicle is started, and the range extender is controlled to independently output power or output power together with a battery according to the required power value. The method has the effect of improving the power performance of the vehicle in a specific scene.

The invention relates to the field of data analysis, in particular to an automobile air conditioner dynamic performance analysis method and system based on machine learning. The system comprises an automobile air conditioner power influence factor data acquisition module, a final random forest model construction module, a parameter tuning module, a first automobile air conditioner power performance grade judgment module and a second automobile air conditioner power performance grade judgment module. Training a random forest model through the collected automobile air conditioner power influence factor data set, inputting the to-be-detected automobile air conditioner power influence factor data into the final random forest model for classification to obtain a first automobile air conditioner power performance grade, and calculating the cooling speed of the to-be-detected automobile air conditioner; the second automobile air conditioner dynamic performance grade is obtained through analysis, the final to-be-detected automobile air conditioner dynamic performance grade is judged, automobile air conditioner dynamic performance analysis is achieved, and the accuracy and reliability of the analysis result are guaranteed.

This application provides a hybrid powertrain. The hybrid powertrain includes a generator, a motor, a dual-motor controller, and a switch module. The dual-motor controller includes a generator power circuit and a motor power circuit. A running status of the switch module includes a first state and a second state. If the switch module is in the first state, the switch module is configured to connect to an end of a power battery and a center tap of a multiphase winding of the motor. If the switch module is in the second state, the switch module is configured to connect to an end of a power battery and an end of a plurality of switching transistor bridge arms of the motor power circuit. According to the hybrid powertrain and the control apparatus provided in this application entire vehicle endurance and power performance of the electric vehicle can be improved.

The invention provides an acting regulation and control method and system for a high-temperature adiabatic compressed air energy storage system. The method comprises the steps that S1, a power grid load instruction is obtained; s2, inputting a power grid load instruction to obtain a salt cavern outlet pressure prediction value by using an LSTM-based neural network prediction model; s3, according to the power grid load instruction and the salt cavern outlet pressure prediction value, the salt-gas heat exchanger fused salt flow, the water-gas heat exchanger water flow and the air flow corresponding to the optimal efficiency of the unit are determined; s4, determining corresponding given values of the opening degree of the fused salt regulating valve, the rotating speed of the water pump and the opening degree of the air valve; and S5, according to the given values and the measured values of the molten salt regulating valve opening, the water pump rotating speed and the air valve opening, the deviation DV of the molten salt regulating valve opening, the water pump rotating speed and the air valve opening is determined, and the power grid load instruction requirement is met through control. The problem that the system efficiency is difficult to predict is solved, and a basis is provided for regulation and control of the high-temperature adiabatic compressed air energy storage system.

The utility model discloses a gearbox for an oil-electricity double-engine ship. The gearbox comprises a box body, the diesel oil input component comprises a first input shaft, a first driving gear is sleeved on the first input shaft, and the first input shaft is provided with a first transmission gear and a first clutch; the reversing shaft part comprises a reversing shaft, a second driving gear is sleeved on the reversing shaft, the reversing shaft is provided with a second transmission gear and a second clutch, and the second transmission gear is meshed with the first transmission gear; the motor input component comprises a second input shaft, the second input shaft is sleeved with a third driving gear in an empty mode, the third driving gear is meshed with a first driven gear, the second driving gear is fixedly sleeved with the first driven gear, and the second input shaft is provided with a third clutch; the output shaft component comprises an output shaft and a second driven gear, and the second driven gear is meshed with the first driving gear and the second driving gear. According to the scheme, the diesel engine or the motor is independently used for driving, intelligent switching of the diesel engine and the motor can be achieved at any speed, oil consumption is reduced, and power performance is improved.

The invention relates to the field of fuel, and discloses a fuel composition and application thereof. The fuel composition comprises a basic fuel and functional fuel addition components, the functional fuel addition components comprise polyoxymethylene dialkyl ether, hydrocarbon, a cetane number enhancer and a lubricant, the hydrocarbon is polycyclic hydrocarbon fuel and / or polycyclic hydrocarbon fuel, and the cetane number enhancer is polycyclic hydrocarbon fuel and / or polycyclic hydrocarbon fuel. The lubricant is selected from dibasic acid monoester compounds and fatty acid and / or fatty acid polyol ester; based on the total mass of the functional fuel additive components, the content of the polyoxymethylene dialkyl ether is 1-70% by mass, the content of the hydrocarbon is 15-90% by mass, the content of the cetane number enhancer is 0.005-10% by mass, and the content of the lubricant is 0.001-5% by mass. The composition is suitable for making up the deficiency of polyoxymethylene dimethyl ethers in plateau areas and improving the power and power performance of fuel engines.

The invention relates to the technical field of engines, in particular to a dynamic adjusting method for engine exhaust gas recirculation control, which comprises the following steps: S1, collecting multi-source data in real time; s2, data preprocessing and feature extraction; s3, constructing an EGR dynamic model; s4, performing intelligent decision making and hierarchical regulation and control; s5, evaluating and feeding back the regulation and control effect in real time; through multi-source data fusion and an intelligent algorithm, millisecond response and dynamic self-adaptive adjustment of the EGR rate are achieved, the problem of lag of a traditional control strategy is solved, and the response speed and the control precision of the system are improved; according to the hierarchical regulation and control strategy based on reinforcement learning, NOx emission reduction, power performance maintenance and fuel economy improvement are considered, and performance imbalance caused by single target optimization is avoided; environmental factor data is introduced to participate in model calculation, so that the EGR system can keep the optimal working state under the conditions of different temperatures, altitudes and the like, and the technical application range is widened.

The invention discloses a hybrid airport fire fighting truck chassis operation control system, which comprises a chassis frame, a water pump, a power battery and a vehicle control unit, and further comprises a diesel engine mounted on the chassis frame; the power takeoff is connected with the diesel engine; the AT gearbox is also connected with the diesel engine; the AT gearbox is connected with the input end of the power transfer case through a transmission shaft; and the driving motor is connected with the input end of the power transfer case through a speed reducer. The problems that a traditional chassis is single in power source, vehicle in-out garage emission waste gas treatment and driving power take-off are solved, the problem that a vehicle cannot run when an engine breaks down or a motor breaks down is solved, and the problems that the whole vehicle is insufficient in power performance and poor in economical efficiency are solved.

The invention provides a hybrid power truck energy management and control method and device and a commercial vehicle, and belongs to the technical field of commercial vehicle energy management and control. In the vehicle running process, a vehicle control unit obtains commercial vehicle running state information and transmits the commercial vehicle running state information to a hybrid power truck control module; the hybrid power truck control module inputs the operation state information of the commercial vehicle into the hybrid power truck model; the hybrid power truck model calculates the working point of a current engine according to the rotating speed and torque of the engine, and the supercharging parameters of the electronic supercharger are estimated by combining the exhaust temperature and the exhaust gas flow; the torque distribution of the motor and the charging and discharging state of the battery are determined based on the driving resistance of the vehicle and the operation intention of the driver. Motor torque assistance is reasonably distributed, balance optimization of power and energy consumption is achieved, and fuel economy and power performance are improved. The engine power output is improved; and the working efficiency and the reliability of the electronic supercharger are also improved.

The invention discloses a double-motor electric drive assembly which comprises a main drive motor, an auxiliary drive motor, an inverter assembly, an integrated speed reducer, a power disengaging mechanism, a left side transition half shaft assembly, a right side transition half shaft assembly and a lubricating assembly. The integrated speed reducer forms power transmission with the main driving motor and the auxiliary driving motor at the same time, the power disengaging mechanism is installed between the auxiliary driving motor and the integrated speed reducer, and the inverter assembly is electrically connected to the main driving motor and the auxiliary driving motor and erected above the integrated speed reducer. According to the device, the problem that an existing electric vehicle cannot give consideration to dynamic property, economical efficiency and gear shifting smoothness at the same time is solved, and meanwhile by adopting the planet wheel type differential mechanism and adding the transition half shaft assembly, the whole electric drive can be more compact and has better adaptability.

A battery thermal management control method and apparatus, a device, and a computer storage medium, relating to the technical field of new energy vehicles. The method comprises: acquiring target charging pile information and operation parameters of a vehicle, and battery loss parameters of a power battery; on the basis of the operation parameters, the battery loss parameters, and maximum charging power of a target charging pile, respectively determining a temperature estimated value of the power battery and a first electricity loss and a charging temperature threshold when the current vehicle arrives at the target charging pile; and determining a target heating mode of the vehicle on the basis of the acquired data information, and controlling the vehicle to heat the power battery on the basis of the target heating mode. The method can more accurately determine whether the power battery needs to be heated in a low-temperature environment, so that the danger of high-power charging of the power battery in the low-temperature environment is reduced and the power performance of the vehicle is improved, thereby improving not only the working efficiency of the power battery during charging but also the vehicle usage experience of the user in winter.

This application provides a motor controller for an electric vehicle. The motor controller includes a control circuit and an inverter circuit. The control circuit is configured to: in response to that the drive motor rotates with a pair of wheels of the electric vehicle, control a switch module to connect a center tap of the multiphase winding to the other end of the power battery, and control the inverter circuit to adjust a voltage at both ends of the bus capacitor. The bridge arms of the inverter circuit of the motor controller provided in this application and the winding of the drive motor form a voltage conversion circuit to adjust the voltage at both ends of the bus capacitor, to improve power performance and vehicle endurance of the electric vehicle.

The invention discloses a power control method for a hybrid power engineering vehicle and the engineering vehicle. The hybrid power engineering vehicle comprises a range extender system and a power battery. The method comprises the steps that vehicle working condition information and the charge state of a power battery are obtained; determining a current applicable power distribution mode according to the vehicle working condition information and the charge state; the power distribution mode refers to a control strategy for managing the output power of the range extender system and the power battery; and executing a power distribution mode to coordinate the output power of the range extender system and the power battery. Thus, based on the real-time running state and the energy state of the vehicle, the most suitable energy control strategy is dynamically and intelligently determined and executed, it can be ensured that instantaneous power outbreak and long-term fuel consumption economy can be flexibly considered in the vehicle running process, the balance between the power performance and the economy of the whole vehicle is achieved, and the vehicle safety is improved. And the energy management efficiency and the energy utilization level of the whole vehicle are improved.

The invention provides a vehicle chassis domain control architecture, a control method and a vehicle. An input information management module in the control architecture can receive environmental perception information of a driving domain and determine state estimation information based on the environmental perception information. Environment perception information, state estimation information and decision information are input into a mode management module, the mode management module determines a control mode, and a chassis actuator is controlled by a longitudinal, lateral and vertical motion comprehensive control module according to the control mode on the basis of an expected motion target. A plurality of modules cooperate with each other, and unified motion control is carried out on a chassis actuator through a control mode, an expected motion target and a corresponding dynamics electronic control system. The situation that in the prior art, decision information generated in a driving domain is directly sent to a chassis actuator to be executed, a dynamics electronic control system is crossed, and consequently the power performance is low can be avoided. Therefore, the method can coordinate each dynamic electronic control system, ensure the dynamic performance and ensure the driving safety at the same time.

The utility model relates to the technical field of rescue vehicles, in particular to a multifunctional amphibious rescue vehicle. The utility model provides a multifunctional amphibious rescue vehicle, which can realize quick rescue, and comprises a vehicle body, lifting mechanisms, outboard engine mechanisms, a chassis edge frame and a front axle mechanism, the lifting mechanisms are arranged on both sides of the rear part of the vehicle body, the two lifting mechanisms are respectively provided with one outboard engine mechanism, the chassis edge frame is arranged at the bottom of the vehicle body, and the front axle mechanism is arranged on the chassis edge frame. Front axle mechanisms are arranged on the two sides of the chassis edge frame. Through the arrangement of the planetary gear type transfer mechanism, power is transmitted to the four tires through the rear universal output shaft, the front universal output shaft, the steering knuckle arm and other parts, low-speed or high-speed driving of the four wheels of a vehicle body is achieved, the position utilization rate of a vehicle chassis and the transmission efficiency of the vehicle are improved, energy loss is reduced, and the service life of the vehicle is prolonged. Therefore, the power performance of the vehicle is improved.

The invention provides a gear shifting control method and device, a vehicle and a storage medium, the method is applied to the field of power control, and the method comprises the steps that under the condition that a gear shifting instruction of a first axle of the vehicle is received, whether the vehicle meets a preset condition for restraining target gear shifting logic of the first axle or not is judged; and under the condition that it is determined that the vehicle meets the preset condition, the target gear shifting logic is restrained. According to the method, the existing front axle and rear axle gear shifting logic can be restrained under certain conditions, so that the gear shifting logic is more flexible, the power performance of the vehicle is guaranteed, and the driving experience of a user is improved.

The invention provides a longitudinally-arranged rear-drive dual-motor hybrid power system and a vehicle, and relates to the technical field of vehicle power systems.The longitudinally-arranged rear-drive dual-motor hybrid power system comprises a power input shaft, a generator assembly, a planet row assembly and a power output shaft; the generator assembly comprises a generator body and a generator output shaft connected with the generator body, the planet row assembly comprises a planet carrier, a planet wheel arranged on the planet carrier, a sun wheel and a gear ring meshed with the planet wheel, and a gear ring connecting mechanism connected with the gear ring, the end, away from the generator body, of the generator output shaft is connected with the sun gear, the planet carrier is connected with the power input shaft, and the gear ring is connected with the power output shaft through a gear ring connecting mechanism. The planet row assembly is connected with the generator assembly and the power input shaft, the arrangement length can be effectively shortened, power dividing can be effectively achieved, the space utilization rate and the whole vehicle power performance under the low-speed working condition are improved, and the application requirement of a vehicle with limited space can be met.