472 results about "Car model" patented technology

The invention discloses an automatic charging system of an electric car and a control method of the automatic charging system. The automatic charging system and the control method thereof have the advantages that monitoring is started from parking of the car, a charging connection reset device is disconnected after charging of the car, a user's bill is generated, charging plug butt joint and real-time charging process monitoring are included, all related data in the whole charging process are monitored by a software system portion, a hardware mechanical portion is controlled to complete a next action, the hardware portion sends new semaphore to the software portion for new command calculation after completing a command, the software portion is combined with the hardware portion, and accordingly, systematicness and intellectuality of the whole charging system are improved; a charging interface butt joint scheme based on machine vision and a machine learning algorithm is applied, and feasibility and accuracy in butt joint are guaranteed; a three-dimensional lead screw guide rail mechanism with a long stroke is used, the range of activity of a charging connector is widened, and the charging connector is suitable for multiple car models; the automatic charging system is provided with a payment code scanner, payment of related charges can be completed through a payment bar code scanning function of a cellphone-side payment application, and accordingly, intelligent payment is achieved.

The invention discloses a car sharing management method and system compatible with private cars. The system comprises a client side, a car-mounted terminal and a server which are connected through the Internet. Car owners preset the car using time frame of their own, the time beyond the car using time frame is for car sharing, a user checks idle cars, selects the car model, conducts online payment through the client side, takes the selected car for use within the time frame of an order, returns the car after car using and sends car using information through the car-mounted terminal, and the server calculates mileage cost according to specific data of car using and judges whether overtime car using occurs, and overtime cost needs to be charged if yes. According to the car sharing management method and system, based on time sharing of cars which belong to a company and have exclusive functions, private cars are absorbed in car sharing in a trusteeship mode, mode division is conducted on car traveling distance with technological means, and time sharing of cars is realized in the true sense.

The invention relates to a dynamic load simulating device and a dynamic load simulating method for an automobile power system test, and belongs to the technical field of vehicle power system tests. The dynamic load simulating device comprises a control computer, a dynamometer controller, a frequency converter, an alternating current (AC) power dynamometer and a torque flange with a controller. A virtual automobile model-based control algorithm is adopted, a virtual automobile model is driven by an actual measurement torque, and the simulation of the rolling resistance, wind resistance and the inertia resistance of a vehicle is realized under the conditions of not calculating angular acceleration of the dynamometer. The dynamic load simulating device and the dynamic load simulating method have high stability and high simulation precision, are favorable for shortening the development cycle of an automobile power system and providing convenient test environment for the development of the power system. A process that the vehicle acceleration is acquired by differentiating the rotation speed of the automobile power system is avoided in the calculation process, and a phenomenon that accurate differential values are difficult to acquire due to relatively large noise caused by the process of differentiating the rotation speed is prevented.

A car engineering assist system and method establish a master data and set a computer-generated virtual car model to represent at least a portion of a product design specification (PDS) of a test car. A real time simulator performs computer simulation of a test module using the car model, which has been set to represent at least the portion of the PDS of the test car, to produce a simulation result. A logic unit performs conformity assessment of the test module based on the simulation result and the master data.

The invention discloses an automobile monitoring method and system. The method comprises the following steps: acquiring a current vehicle speed in response to a monitoring startup request, wherein the monitoring startup request is triggered by a driving signal for operating a vehicle; determining the range of the current vehicle speed, and determining a picture mode for displaying on an automobile monitoring picture according to the range and the driving signal for triggering the monitoring startup request; acquiring camera data, screening and integrating the acquired camera data according to the picture mode, and matching pre-selected 3D car model data into the screened and integrated camera data to generate a corresponding view to be displayed on the automobile monitoring picture, wherein the view is a real-scene image obtained by observing from a virtual viewpoint correlated with the view to the location of the 3D car model data. A camera is started up intelligently to generate the picture mode consistent with the driving intent of a driver, so that the driver can observe the surrounding situation of the vehicle more easily, and driving accidents are avoided.

The invention discloses a method for optimizing parameters of a four-driving electric car state observer based on a genetic algorithm. By means of the method, the problem that parameter adjustment of an electric car state observer is difficult is solved. The method includes the following steps of building a car single-wheel rolling model and a simplified three-degree-of-freedom car model, designing a longitudinal tire force observer through a sliding-mode observer method with the wheel rotation angular velocity and driving moment of measurement information of a car sensor as input, designing a front shaft lateral tire force sliding-mode observer and a rear shaft lateral tire force sliding-mode observer correspondingly with the estimated longitudinal tire force value, the front wheel rotation angle, the lateral acceleration and the yaw velocity as input, finally designing a car speed full-dimension state observer with the estimated longitudinal and lateral tire force values, the longitudinal and lateral accelerations, the yaw acceleration and the front wheel rotation angle of a car as input, and carrying out observer parameter optimization on estimation modules through the genetic algorithm on the basic of the designed modular car state observer.

The invention discloses a TPMS (Tire Pressure Monitor System) sensor upgrade system, upgrade method and device, and belongs to the field of car monitoring. The method comprises the following steps: receiving a TPMS sensor protocol type selected by a user, and obtaining an upgrade data file corresponding to the selected TPMS sensor protocol type; according to the received upgrade data file, upgrading a TPMS sensor through a wired or wireless interface. The embodiment of the invention is adopted, and the method has the wired and wireless interfaces to upgrade the TPMS sensor by selecting car model and model year matching protocol types, can be compatible with the TPMS system of all vehicles on the market, realizes the generality of the TPMS sensor, and is particularly suitable for after-sales repair.

The invention discloses a dynamic model-based unmanned car model prediction controller design method. According to the method, a novel vehicle dynamic model is established; an unmanned car model prediction controller on the basis of the novel vehicle dynamic model; (1) the novel vehicle dynamic model obtained through linearization at the current working point is utilized to predict an output stateof a system in a prediction time domain; (2) the obtained predicted output of the system and given reference output are utilized to construct an optimization problem; and (3) the optimization problemis solved, and a first component of U (k) is taken as an optimal control quantity of the current moment to act on the system. According to the method, vehicle speed is added to serve as the control quantity, and error compensation is introduced to make up accumulative errors caused by model precision, linearization and discretization in the prediction process, so that unmanned cars can have a better trajectory tracing effect.

A car cover, include a top piece and at least two-section side pieces. The two-section side pieces can be fabricated from side pieces and inclined pieces, edges of which are designed with non-straight convex arc line cut edges, and horizontally protruding regions are formed after joining the edges. The two-section side pieces can also be fabricated from front side pieces and rear side pieces, edges of which are designed with non-straight convex arc line cut edges, and vertically protruding regions are formed after joining the edges. Space within the outward expanding, curved protruding regions is used to contain rear-view mirrors of the car body when covering the car body with the car cover, thereby achieving a structure that is easy to manufacture and reduces manufacturing cost. Moreover, the car cover has universal suitability for many different car models and provides the convenience of covering and uncovering.

The invention aims to provide a test device for the durability of a car door retainer, which has convenient use, good commonality and low cost and comprises a simulation post and a simulation door hinged on the simulation post. Particularly, the simulation post is fixed on a base; the support end of the car door retainer to be tested is fixed on the simulation post, and the retainer box end of the car door retainer to be tested is fixed on the simulation door; the simulation door is hinged on a piston rod of an air cylinder with an end part movably fixed on the base, and the air cylinder is controlled by a PLC (Programmable logic Controller) through an electromagnetic valve. The test device for the durability of the car door retainer utilizes pneumatic components with high accuracy to be matched with the program control of the PLC so that a test process is accurately controlled, and tests of car door retainers of various car models in various conditions can be satisfied. The whole test device has simple structure, low cost, easy operation, convenient maintenance and high reliability.

In a gear case of a throttle body, a valve gear is fixed to one end of a throttle shaft, an intermediate reduction gear is rotatable around an intermediate shaft, a pinion gear is fixed to a motor shaft of a drive motor, and a full close position stopper is provided for defining the full close position of a throttle valve. Those are provided all in alignment with the longitudinal centerline of the gear case. For car models where the throttle body bore inside diameter is identical but the rotation direction of the drive motor differs, only some components in the gear case need be replaced and the other components in the gear case can be used as common components.

The present invention relates to an automobile stability control method based on tire non-linear features. The devices used in the method comprise a reference model, a tire side force and cornering stiffness processor, an MPC (Model Predictive Control) controller, a brake distribution module and a Carsim automatic model. The reference model is configured to determine an expected automobile yaw velocity and an expected automobile side slip angle; the tire side force and cornering stiffness processor is configured to determine the side slip angle, the side force and the cornering stiffness of the tire; the Carsim automatic model is configured to output actual motion state information of the automobile; the MPC controller selects a prediction model according to the cornering stiffness of thetire and performs optimization to obtain a front-wheel extraordinary angle and a compensation yawing moment of the automobile; the front-wheel extraordinary angle and a front-wheel rotating angle generated by a driver's steering input are superposed and then are directly output to the Carsim automatic model, the compensation yawing moment is output to the brake distribution module, the brake distribution module is employed to determine brake torques of four wheels and output the brake torques of the four wheels to the Carsim automatic model so as to achieve stability control.

The invention discloses an intelligent screening algorithm realization method of a shared parking stall system, and can solve the problems in the prior art that the parking stall resource utilizationrate is low; the method comprises the following steps: classifying car models in the market according to size specifications, wherein each type vehicle is matched with a parking stall of a specific size; reading a car model so as to classify the vehicle, and searching parking stalls and belonging parking lots meeting the requirements according to the classification result; intersecting sections soas to obtain an overlapping time between a vehicle owner parking time and a parking stall idle time, returning to the corresponding parking stall and the belonging parking lot, intersecting the result with the result obtained by the classification operation so as to obtain the final target parking stalls, and ranking the parking stalls according to user requirements. The method uses the staggeredtime and zone algorithm to solve the difficult parking problems, thus alleviating the road traffic pressure; by using said method, the parking can be more convenient and intelligent.

Embodiments of the present invention provide a leased object scheduling method and system, which belong to the field of sharing technology. The scheduling method of the leased object includes: determining the remaining amount of the leased object in the target area; obtaining the use environment parameters of the leased object in the target area; determining the target area based on the prediction model and the use environment parameters For the demand quantity of the leased object; and according to the reserved quantity and the demand quantity, determine the quantity of the leased object to be dispatched to the target area. As a result, it is possible to realize real-time prediction of the car shortage of leased items to be dispatched to the target area based on the model, eliminating individual differences and errors caused by relying on human estimation and prediction, and realizing intelligent scheduling of leased items, ensuring Maximize the utilization rate of the leased property.

The invention relates to an intelligent camera tracking car model for racing tracks. The intelligent camera tracking car model comprises an energy supply system, a signal collecting system, a central processing system and an executing system; and the central processing system comprises the following processing steps: 1. performing binaryzation on a gray level image collected from the signal collecting system; 2. performing side boundary extraction on the binaryzed image; 3. identifying the racing track according to the extracted side boundary and determining the advancing direction of the car model; 4. calculating the included angle between the optimal advancing direction of the car model and the actual advancing direction of the car model to control a steering engine so as to control the direction; and 5. obtaining the expected speed of the car model through offset, namely, the distance between the axial wire of the car and the axial wire of the racing track, and controlling a drive motor to control the speed. The intelligent camera tracking car model disclosed by the invention fully utilizes the information of a whole frame of image to extract the racing track, thereby overcoming the image fuzzy distortion problem and determining the optimal advancing direction of the car model in real time to realize intelligent tracking of the car model.

A car windshield installation method based on automatic glue coating and manual installation is characterized in that: firstly, coating glass and car models can be indentified respectively, and then the matching institution of the glass and a car model can be judged. The invention can ensure that the glass coated with glue by a robot is consisted with the model of the car needed to be assembled with the glass by an automatic assembly line, thereby effectively improving the working efficiency, and reducing the error rate of coating and assembling.

The invention relates to a bulletproof safe tyre including a tyre body and selfsealing layer materials bonding with the inner lining face of the tyre body, the selfsealing layer materials are obtained by the following method: bromobutyl rubber with low viscosity and liquid rubber are as rubber body, which is added by polyurethanes adhesive as reinforcing agent and is obtained by milling in 40-120 DEG C. The bulletproof safe tyre of the invention has good and stable bulletproof safe performance, with wide tentative car model.

The invention relates to a lifting clamping device for a car door conveying line. The lifting clamping device comprises a fixing bracket and a movable sliding seat, wherein a lower rack is installed on the fixing bracket; an upper rack is installed through a vertical rod, a cross rod and a guiding sliding block on the movable sliding seat; an operating handle is arranged at the top of the vertical rod through a lever arm; the guiding sliding block is connected to one end of the operating handle; and the engagement or disengagement of an upper rack and a lower rack can be realized through the operating handle. When the upper rack and the lower rack are engaged, the lifting clamping device is in a clamping working state; when the upper rack and the lower rack are disengaged, a movable object can move leftwards and rightwards relative to the fixing bracket so as to achieve the purpose of adjusting the position of a clamping block leftwards and rightwards. The lifting clamping device has the advantages of strong practicability, safety and reliability and can meet the requirements of line-to-line production assembly of various car models through adjusting and clamping car doors of different widths and sizes.

The invention provides a method and an apparatus for automatically identifying whether OBD car equipment is matched or not through a VIN code of a passenger car. The method comprises the steps of creating a car model adaptive table in a database; in the database, extracting VIN codes read by all online car equipment, and writing corresponding fields of the car model adaptive table; when it is judged that OBD data in car equipment codes comprises reported average fuel consumption, judging that the car equipment is matched, and associating 1st to mth bits and pth bit of the VIN code of the car read by the car equipment; when it is judged that the OBD data in the car equipment codes does not comprise the reported average fuel consumption, judging that the car equipment is not matched, and associating the 1st to mth bits and the pth bit of the VIN code of the car read by the car equipment; and receiving a VIN code input instruction of a user, automatically performing comparative matching on the VIN code and the VIN codes of the car model adaptive table, and feeding back and presenting a matching query result to the user. According to the method and the apparatus, whether the OBD car equipment is adaptive to different car models or not can be quickly and effectively queried.

The invention relates to a high-homogeneity car model polyester industrial yarn and a preparation method thereof. The high-homogeneity car model polyester industrial yarn uses modified polyester formed by a terephthalic acid chain segment, an ethylene glycol chain segment and branched chain-containing diol as a raw material. The preparation method of the high-homogeneity car model polyester industrial yarn comprises the following steps: subjecting the terephthalic acid and the branched-chain diol to an esterification reaction under the catalysis of concentrated sulfuric acid to obtain dihydroxy alcohol terephthalic acid; subjecting the terephthalic acid and the ethylene glycol to an esterification reaction to obtain dimethyl terephthalate; finally stirring and mixing the two, subjecting a polycondensation reaction at low vacuum phase and high vacuum stage under the action of a catalyst and a stabilizer to obtain modified polyester, subjecting the modified polyester to metering, porous spinneret extruding, cooling, oiling, stretching, heat setting and winding to obtain the high-homogeneity car model polyester industrial yarn.

The present invention discloses a pressure sensor based on RFID technology and a vehicle anti-theft detection technique. An instantaneous pressure change in the car is detected by the pressure sensor. When the pressure changes, an identity serial number of a driver marked in a mark card can be read by an anti-theft detection device through a RFID reader. The decision of whether driving an alarming device to alarm is made after judging the legality of the serial number of the driver. At the same time, the identity serial number of the driver is read by RFID at a fixed interval (such as 10 seconds); the driver is judged as having left the car if the legal identity serial number of the driver for a continuous fixed times (such as 3 times), and then the defending state is shifted from 'off' to 'on'. Destructive operations, such as cutting an electrical connection line from the original car are not necessary. The present invention has the advantages of simple and convenient in installation; and reliable in anti-theft detection. The present invention is characterized in easy to use and prevail thus is suitable for any car model.

The invention relates to a triad structure light electric vehicle main body structure. The structure is characterized by comprising three independent structure units, a first structure unit forms an electric vehicle underframe (1), a second structure unit forms an electric vehicle cage type box body (2), and a third structure unit forms an electric vehicle cover panel (3); wherein the underframe (1) and the cage type box body are fixedly connected to form a combined type load bearing frame, the cover panel (3) is fixedly connected on the combined type load bearing frame, and the cover panel (3) forms a package structure inward and forms a main body structure of vehicle external styling outward. The invention has the beneficial effects of lighting realization, high safety and low cost smallscale production or piece production, as triad structure car model production does not require opening a steel mould, stamping production line and welding production line are not required to be established, each structure element can be produced by low cost technology and equipment, small scale production and even piece production is easy to be realized.

The invention relates to a welding skid used for transferring various car bodies, comprising a ladder-shaped body, two sets of body skirt support mechanisms arranged on the ladder-shaped body, a locking block arranged on the ladder-shaped body, a car-model information code carrier and a welding-coating skid-shifting positioning hole. The welding skid is characterized in that a first group of positioning pins is symmetrically connected on the ladder-shaped body and can move between two sets of body skirt support mechanisms; and a second group of positioning pins is symmetrically connected on the ladder-shaped body and also can move on the left side of one set of body skirt support mechanism on the left part of the ladder-shaped body. The welding skid has the advantages that two groups of flexible positioning pins are adopted to guarantee the accurate positioning of the body on the skid and the transportation of the welded bodies of the car in manufacturing or to be manufactured is realized, thereby enhancing the work efficiency, largely conserving the investment and reducing the manufacturing cost.

The invention relates to a micro intelligent car framework for an intelligent traffic hardware online simulation system. The micro intelligent car framework is characterized by comprising a car model chassis, a control module, a sensor module, a wireless communication system and a power supply module; the control module, a sensing device for a road environment, the wireless communication module and the power supply module, which are connected in sequence, are placed in the car model chassis; the control module has the capacities of environment sensing, mode identifying and decision planning by C# and Halcon image processing. Compared with the prior art, the micro intelligent car framework for the intelligent traffic hardware online simulation system has the beneficial effect of strong portability on a real car by adopting the principle similar to the real car. A micro intelligent car is the key element of an online simulation entity of the intelligent traffic research and can be used for finishing all tests on the online simulation system of the intelligent traffic hardware, thus practicing the influence of a car networking technology on the future intelligent traffic, and performing new probing by means of the research of the car networking technology for the multi-car interactive cooperation.

An active rear steering control method for broadening the car stability region is characterized in that a reference model, a tire lateral force and slip rigidity processor, a model predictive control(MPC) controller and a CarSim car model are included in the method; the reference model is used for determining the expected car yaw velocity and side slip angle; the tire lateral force and slip rigidity processor is used for determining slip angles, lateral force and slip rigidity of tires; the CarSim car model is used for outputting practical motion state information of a car, wherein the practical motion state information comprises the car longitudinal velocity, the yaw velocity, the side slip angle and the road surface attachment coefficient; and the MPC controller selects a predictive model according to the slip rigidity of the tires and obtains rear wheel rotation angles of the car in an optimization solution mode by combining with the expected car yaw velocity and side slip angle and the practical motion state information of the car, and the rear wheel rotation angles are output to the CarSim car model to control the car to achieve stability control.