474 results about "Car model" patented technology

The invention discloses a large model driven automobile model modeling method based on a Modelica language, and belongs to the technical field of intelligent modeling and automobile simulation. The method comprises the following steps: firstly, accurately analyzing a natural language demand into a structured triple by adopting a BERT-CRF (domain knowledge enhanced) multi-task model; matching an optimal component combination through a multi-objective optimization algorithm driven by a graph neural network, and cooperatively predicting an interdisciplinary parameter feasible region in combination with symbolic mathematical derivation and machine learning; a topological connection matrix is innovatively optimized by using a graph attention network, and intelligent generation and dynamic verification of simulation codes are realized by fusing a template engine and syntax tree analysis; and finally, constructing a multi-target reward function optimization control strategy through reinforcement learning, and establishing a closed-loop knowledge iteration mechanism. Compared with a traditional modeling method, through deep combination of the large model and Modelica, the technical difficulty of automobile system modeling is remarkably reduced while the preciseness of physical modeling is kept, and the method is particularly suitable for complex scenes such as new energy vehicle model development and intelligent driving system integration.

The embodiment of the invention relates to the technical field of robot control, and discloses a wire harness assembling method for a vehicle ceiling and electronic equipment, the wire harness assembling method for the vehicle ceiling is applied to a mechanical arm, and the method comprises the steps of obtaining a vehicle image of a current vehicle; determining a current vehicle type corresponding to the current vehicle according to the vehicle image; based on the current vehicle type, a preset parameter mapping library is determined and inquired, control parameters corresponding to the current vehicle type are determined, and the control parameters comprise an assembly track and force control parameters; and according to the assembly track and the force control parameters, a mechanical arm is controlled to conduct wire harness assembly on the car roof of the current car model. The vehicle model of the current vehicle is determined, the control parameters corresponding to the current vehicle model are determined by using the preset parameter mapping library, and the mechanical arm is controlled to perform wire harness assembly on the vehicle roof of the current vehicle model through the assembly track and the force control parameters, so that the assembly cost can be reduced.

The invention provides a charging load prediction method and device, a medium and a program product. The method comprises the steps that a single electric vehicle model and a dynamic traffic road network model are built; based on the charging cost, the battery replacement cost and the charging / battery replacement waiting duration, calculating a comprehensive charging cost; calculating the driving cost based on the driving distance, the driving energy consumption and the driving time consumption; according to the driving cost and the comprehensive charging cost, predicting a charging decision result of each electric vehicle; and according to the charging and swapping decision result, calculating the charging and swapping load. According to the charging and swapping load prediction method, the possible charging and swapping condition of each electric vehicle is predicted according to the driving cost and the comprehensive charging cost, the space-time distribution of the charging and swapping load of the electric vehicle can be effectively predicted, and finally the electrical load of each charging / swapping station is calculated according to the space-time distribution. Accurate prediction of the charging load in one day in one region is realized.

The invention relates to the technical field of vehicle safety auxiliary devices, and discloses an automobile multifunctional crawler-type anti-skid escape device which comprises tires, electric hydraulic cylinders and four sets of independently-controlled driving crawlers. Wherein the two groups of driving tracks are transversely arranged at the edge positions of the front end and the rear end of the automobile chassis to form a transverse track assembly; the vehicle body is lifted through the transverse track assembly, key parts are prevented from being eroded by accumulated water, and water flow impact is relieved; and thirdly, by means of independent control of the four sets of caterpillar bands, the vehicle is endowed with flexible maneuvering functions such as pivot steering and transverse movement, and accurate parking in a narrow space and obstacle avoidance are assisted. The whole structure is designed based on vehicle model customization, and an active and multifunctional driving safety guarantee means is provided for a driver on the premise that an original vehicle framework is not changed.

The invention provides a curve braking force distribution control method for an electric vehicle carrying an EMB braking system, and the method comprises the following steps: obtaining ideal values of a yaw velocity and a side slip angle during the steering of the vehicle through a two-degree-of-freedom vehicle model; the actual values of the yaw velocity and the side slip angle during vehicle steering are obtained through a Kalman filtering method and a vehicle sensor, and after the deviation is obtained through calculation, a sliding mode additional yaw moment controller is designed to calculate and correct the additional yaw moment needed by vehicle steering; obtaining the vertical load of each wheel according to a vehicle dynamics model, and controlling the EMB system by using a differential braking method according to the obtained vertical load of each wheel and the obtained additional yawing moment required for correcting the steering of the vehicle. The EMB system is controlled in a differential braking mode, the posture of the vehicle body is adjusted, and the curve braking stability of the vehicle is improved while the braking efficiency is guaranteed.

The invention discloses a second-hand car transaction information management method, and relates to the field of data: obtaining second-hand car historical transaction data, and performing hierarchical processing on the obtained data to obtain a hierarchical data set; the hierarchical data set adopts a brand-vehicle series-vehicle type three-level data structure; establishing a hierarchical graph neural network model through transfer learning according to the hierarchical data set; according to the second-hand car historical transaction data, establishing an evaluation model based on a residual value rate; mapping to-be-evaluated vehicle data to corresponding nodes in the hierarchical data set, and calculating a data sufficiency coefficient of the to-be-evaluated vehicle; according to the data sufficiency coefficient, selecting a hierarchical graph neural network model or an evaluation model to carry out second-hand car price prediction; and performing second-hand car transaction information management according to the predicted second-hand car price. As the sparse data vehicle type price prediction precision is low, the second-hand vehicle price prediction precision is improved.

The invention relates to a production line vehicle type configuration transmission and verification method, and the method comprises the steps: obtaining vehicle type configuration data corresponding to a work-in-process when an intelligent transportation trolley enters an initial station of a production line; the vehicle model configuration data are written into the flexible conveying bracket provided with the work-in-process product; the intelligent transportation trolley is controlled to carry the flexible conveying bracket to enter a plurality of target stations matched with the vehicle type configuration data; when the intelligent transportation trolley arrives at any target station, vehicle type configuration data are read from the flexible transportation bracket; verifying the configuration state of the current station based on the vehicle type configuration data; if verification is not passed, the target station is controlled to execute configuration switching operation, and verification is executed again after configuration switching is completed; and if the verification is passed, controlling the target station to execute the corresponding production operation. By adopting the method and the device, the consistency of the vehicle type configuration data acquired by the station and the actual vehicle type configuration data of the product in process can be improved, and the processing abnormity caused by wrong station configuration is reduced.

1. Name of the Design Product: Inflator (SUP Aston Martin Car Model). 2. Use of the Design Product: This design product is used for inflation. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective view.

This disclosure belongs to the field of energy management technology, specifically to a hybrid electric vehicle energy management method and system based on multi-objective optimization. The method comprises the following steps: obtaining hybrid electric vehicle operating data and constructing a hybrid electric vehicle model; establishing a multi-objective optimized hybrid electric vehicle energy management model based on the constructed hybrid electric vehicle model, and solving the weight coefficients between the multiple objectives using a sum-of-squares optimal method; and solving the hybrid electric vehicle energy management model using a proximal strategy optimization algorithm to implement hybrid electric vehicle energy management. This disclosure fully considers the temperature of the power battery and introduces an energy management framework based on a proximal strategy optimization algorithm to improve fuel economy, maintain a stable power battery state of charge (SOC), and reduce battery temperature rise.

The invention relates to a plug-in hybrid electric vehicle model predictive control energy management method based on reinforcement learning, and aims to solve the energy management optimization problem of a plug-in hybrid electric vehicle. The method comprises the following steps: firstly, predicting a vehicle speed in a future time domain by using a least square support vector machine-neural network (LSSVM-BP) model; then, calculating power required by a vehicle in a prediction time domain based on a vehicle dynamics model, and solving an energy management problem through a model prediction control algorithm; and finally, performing rolling optimization based on a reinforcement learning method to obtain a control variable sequence of each stage in a prediction time domain, and taking a first element of the control variable sequence as output. According to the method, reinforcement learning and a model prediction control algorithm are combined, optimal distribution of the energy source of the plug-in hybrid electric vehicle is achieved, and the fuel economy of the vehicle is improved.

The utility model discloses an ink jet device for automobile model processing, which comprises a base, a driving assembly, a transmission assembly, a nozzle, a clamping plate and a nozzle, when ink is jetted, a telescopic part drives the clamping plate to clamp and fix a model, and the telescopic part drives a mounting frame to move downwards to move the model to one side of the nozzle; a suction pump arranged on a connecting pipe conveys raw materials in a containing cavity into a mounting pipe, then the raw materials are sprayed to a model through a spray head, a driving assembly drives a rotating shaft to rotate and a transmission assembly to operate, the rotating shaft rotates to drive the clamped automobile model to rotate at a constant speed, and the spray head conducts orderly ink spraying on the automobile model at multiple angles; the transmission assembly drives the stirring rod connected with the transmission assembly to rotate, the stirring rod rotates to stir the ink jet raw materials in the containing cavity, on one hand, the raw materials are evenly mixed, and on the other hand, the fluidity of the raw materials is improved.

The invention provides a control method and device and a vehicle. The method comprises the steps that a computing platform controls a first display device in a vehicle cabin to display a first scene, wherein the first scene comprises a first environment and a first vehicle model; in response to a first input for the first scene, the computing platform controls the first display device to switch from displaying the first scene to displaying a first dynamic effect, the first dynamic effect including a first environmental change dynamic effect and the first vehicle model. The embodiment of the invention can be applied to an intelligent vehicle or an electric vehicle, so that a user can directly control the dynamic effect of the vehicle model desktop scene on the vehicle model desktop, thereby increasing the interactivity and interestingness of the vehicle model desktop scene, and improving the user experience.

The invention discloses a method for assisting in generating a special fire emergency car model through artificial intelligence, and belongs to the crossing field of artificial intelligence and car design. The method aims to overcome the defects of traditional forest fire fighting vehicle design, and the forest fire rescue efficiency and the firefighter safety are improved. Data such as fire fighting truck 2D drawings, forest fire cases, fire fighting demand feedback and the like are widely collected through multiple channels and are cleaned, labeled and structured, and effective data are divided into a training set, a verification set and a test set according to a specific proportion. A deep learning model (such as GAN or VAE) is selected and optimized according to the design characteristics of the forest fire-fighting vehicle, and the model is stabilized through a large amount of iterative training. A design keyword is input to generate a 2D sketch, big data analysis is utilized to screen, evaluate and optimize for multiple times, a 3D model framework is generated by means of a 3D generation AI model, fine optimization is performed after multi-dimensional evaluation, and finally a 3D model which is vivid in color and meets actual combat requirements is generated. By utilizing the artificial intelligence technology, the design efficiency is greatly improved, the adaptability of the automobile to the forest environment is enhanced, the safety of firefighters is guaranteed, the industrial technology progress is promoted, and remarkable economic and social benefits are achieved.

1. The name of this design product: Sterilizer and Deodorizer (Pinggao Jingxiang Series Car Model). 2. Purpose of this product design: This product is used for deodorizing, sterilizing and disinfecting indoor air or internal spaces of products. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

1. Name of the designed product: car model toy (JIL). 2. Use of the designed product: toy. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

1. Name of the product of this design: Car Model Speaker (Gu‑152). 2. Purpose of this design product: Equipment for playing audio. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The utility model discloses a tray tool, and relates to the technical field of front auxiliary frame installation, and the tray tool comprises a tray body; the supporting insertion parts at least comprise the first supporting insertion part and the second supporting insertion part, and the first supporting insertion part and the second supporting insertion part are used for supporting front auxiliary frames of different vehicle types; the locking structure is fixedly arranged on the tray body, and the locking structure is used for locking or releasing the supporting plug-ins so that the first supporting plug-ins and the second supporting plug-ins can be switched mutually. According to the technical scheme, the production cost of the tool is reduced.

1. The name of the design product: desktop horsepower machine. 2. The use of the design product: for detecting the motion posture of the car model. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to a new energy electric vehicle driving simulation control method based on a virtual practical training platform. The method comprises the following steps: loading a new energy electric vehicle model and a driving environment model; obtaining a driving control signal of the new energy electric vehicle; inputting the new energy electric vehicle driving control signal into the new energy electric vehicle model, simulating driving information of the new energy electric vehicle in a preset scene in combination with the driving environment model, and generating real-time driving simulation information of the new energy electric vehicle; and generating automobile performance indexes of the new energy electric automobile model based on the new energy electric automobile driving real-time simulation information. By adopting the method, the driving behavior influence of the new energy electric vehicle can be accurately simulated, performance index quantitative evaluation is performed on the new energy electric vehicle, and a data basis is provided for vehicle control strategy optimization of the new energy electric vehicle.

The present disclosure provides a data processing method, device, electronic device, computer-readable storage medium and computer program product, which relate to the field of computer internet technology. The data processing method includes: collecting car rental search result information of multiple car rental users, wherein each car rental search result information includes a search location and a vehicle to be rented, wherein the distance of the vehicle to be rented to the search location is less than a first threshold; based on the vehicles to be rented in the car rental search result information of multiple car rental users, determining a first candidate location with fewer car models to be rented than a second threshold among multiple search locations; determining a first target location with a number of occurrences greater than a third threshold among the first candidate locations; and sending the first target location to an operation and maintenance object so that the operation and maintenance object can allocate vehicles to be rented based on the first target location. The embodiment of the present disclosure can determine a place with fewer car models to be rented but with a high frequency of car rental searches based on the car rental search result information, so as to allocate vehicles to be rented.

1. Name of the product of this design: Graphical user interface for ride-hailing service of electronic device. 2. Purpose of the product of this design: an electronic device. 3. The key design point of this appearance design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5.Purpose of the graphical user interface: used for car-hailing services. After selecting a car model, click “Go to Call” to call a vehicle. The gray-coated area is the content screen.

1. Name of this design product: toy car. 2. Purpose of this design product: as a car model or toy. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1. 5. The bottom surface of this design product is difficult to see or cannot be seen during use, so the top view is omitted.

This invention relates to the field of human-computer interaction interface management technology, and provides a method and system for adaptive adjustment of interface style based on a 3D car model. It identifies multi-dimensional attribute features such as geographical features, user features, and holiday features in the current scene in real time, and achieves style conversion through style scoring and differentiated adjustments, controlling the adaptive adjustment of the 3D car model's interface style. On the one hand, by integrating user features, geographical features, and holiday features, it achieves dynamic adaptive adjustment of the 3D car model's style, enabling flexible switching between multiple preset base models while balancing personalized expression and rendering efficiency. On the other hand, it differentiates the basic style of the target base model based on multi-dimensional attribute features, performs style conversion through a model style generation engine, and dynamically renders in real time to achieve intelligent repainting of textures that flexibly change with the scene.

The present invention discloses a method, device and electronic device for determining damage. Among them, the method includes: determining a damage simulation vehicle model and a first target site on the damage simulation vehicle model, where the damage simulation vehicle model is obtained by a first target impact object impacting a second target site on a target simulation vehicle model according to first target impact parameters, and the target simulation vehicle model is determined according to target vehicle parameters; determining a second target impact object and second target impact parameters for the second target impact object to impact the first target site; determining a target acceleration curve of the second target impact object impacting the first target site according to the second target impact parameters; and determining a target damage degree value of the second target impact object according to the target acceleration curve. The present invention solves the technical problem in the related art that when an impact object impacts a damage simulation vehicle, the accuracy of the determined damage degree value is relatively low.

The utility model discloses a surface treatment device for automobile model processing, include: blow assembly, blow assembly is located in the side of bearing frame, including mounting bracket, connecting shaft, rotating frame, gas outlet spray head and connecting pipe, mounting bracket is fixed on the outside surface of bearing frame one side, and connecting shaft is fixed in the inside of mounting bracket. The utility model discloses the spray assembly and blow assembly that set up, when needing to process the surface of automobile model, first through the bearing frame, make the horizontal movement of spray gun, and spray gun can carry out the surface of automobile model and paint spraying treatment, when paint spraying is completed, and the horizontal movement of bearing frame is reversed, and simultaneously, open the air pump switch, and gas can be sprayed through the gas outlet spray head, thereby reach the operation of the surface of automobile model and dry, the scheme, timely dry the surface of automobile model, not only avoid the paint accumulation in the recessed place of automobile model, affect the appearance of automobile model, and accelerate production efficiency.

1. Name of the product of this design: Car Model Speaker (Gu‑168). 2. Purpose of this design product: Equipment for playing audio. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

1. Name of the product of this design: car model. 2. Purpose of this design product: used as a car model or toy. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1. 5. The bottom surface of this design product is a part that is not easily visible or cannot be seen when in use, so the top view is omitted.

1. The name of the design product: electronic device vehicle machine interaction graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for gear, air conditioning, music, etc. interaction control of the vehicle, display time, weather and driving information, etc. 6. The change state of the graphical user interface: the interface of the front view is a 3D hall environment, which has a circular table-shaped display stand inside, the left side of the display stand is a mountain image, the middle is a car model, and the right side is the head portrait of the vehicle spirit, the rear area of the 3D hall environment contains a music player, an application list, an information display area and a map control area from left to right, wherein the information display area displays time, weather and driving information, etc., and the map control area displays "today's exploration" three characters. After clicking the car model in the interface of the front view, it can jump to the corresponding secondary interface of the in-vehicle space, "P, R, D" in front of the car model is used for gear display and control of the vehicle, by clicking / sliding "P, R, D", the gear of the vehicle can be switched, and the arc-shaped energy bar around the display stand displays the current remaining range of the vehicle.