28735results about "Electric/fluid circuit" patented technology

The present disclosure relates to systems and methods for enhancing the interaction between users and automated agents, such as digital assistants, by employing Large Language Models (LLMs) to infer the intent of spoken language. The invention involves continuously monitoring ambient audio, converting speech to text, and utilizing LLMs to determine whether spoken language is intended for the automated agent. A structured prompt, including the converted text and specific instructions, is sent to the LLM, which is fine-tuned to process domain-specific prompts. The LLM provides a structured output in a standardized format, indicating the user's intent. The system may involve multiple prompts to perform separate tasks, such as identifying intent and generating additional context-specific data. This approach facilitates a more natural and intuitive user experience by eliminating the need for wake words and allowing seamless conversational interaction with virtual assistants across various platforms and devices.

An electrified fire fighting vehicle includes a chassis, a front axle coupled to the chassis, a rear axle coupled to the chassis, a water pump, an energy storage system, an engine, an electric motor coupled to the engine and the energy storage system, and a power divider positioned between the electric motor, the water pump, and the rear axle. The power divider facilitates selectively driving the water pump and the rear axle with the engine and the electric motor.

Air conditioning device (1) for motorhomes, comprising: - at least one first heat exchanger for exchanging heat with the air circulating through it; - a cooling circuit (8) for a cooling fluid, with a path passing through the first heat exchanger; - a compressor (7) which includes an electric motor, for circulating the cooling fluid in the cooling circuit (8); - a power supply unit that can be connected to an external power supply to receive an electrical input current or electrical input power and to generate a variable supply voltage to drive the electric motor with an electrical supply current, - a controller (11) connected to the power supply unit that is suitable for receiving input data representative of a reference value of the electrical input current or electrical input power and that is programmed to adjust the power supply unit to generate the supply voltage with a reference amplitude and / or frequency such that the electrical input current or electrical input power is below the reference value; - a positioning device designed to determine the position of the air conditioning device (1); and - a memory containing a plurality of reference values ​​corresponding to a plurality of locations, wherein the controller (11) is capable of receiving a location signal from the positioning device and of setting as input data one of the reference values ​​present in the memory depending on the location signal.

An outside handle device for a vehicle door comprises a handle main body provided at the outside of the vehicle door, a handle frame fixed to the vehicle door, a first connector provided at a vehicle body side and electrically connected with an electric signal cable at the vehicle body side, and a second connector provided at the handle main body and electrically connected with the electric component accommodated in the handle main body. The first connector and the second connector are placed with a predetermined distance when the handle main body is assembled in the handle.

The invention relates to the technical field of intelligent interaction systems, and discloses an intelligent interaction system and method based on a multi-modal large model. The system comprises a multi-modal input layer, a context sensing module, a cross-modal fusion module, a dynamic response generation module and a system monitoring module. The multi-modal input layer preprocesses multi-modal data; the context sensing module constructs a dynamic context vector; the cross-modal fusion module fuses the data to generate joint features; the dynamic response generation module generates a response strategy through hierarchical decision; and the system monitoring module monitors the key indexes and triggers an optimization mechanism. All the modules work cooperatively, multi-modal data deep fusion, precise context sensing, efficient dynamic response and system self-optimization are achieved, the accuracy, adaptability and stability of intelligent interaction are improved, and the method can be widely applied to multiple fields such as intelligent home and intelligent customer service.

The invention relates to a dynamic load distribution method, device and equipment based on a vehicle body controller and a medium, and the method comprises the steps: collecting the mechanical load, electrical load and thermal load data of a vehicle body in real time through a distributed sensor network, and generating multi-source heterogeneous initial load data; performing standardization processing on the initial load data, and constructing a three-dimensional data cube type standard load data set; comprehensive characterization features are extracted through feature space mapping, and a fusion load feature set containing a threshold range is dynamically generated in combination with historical data; constructing a load correlation model based on the fusion features, and mapping to generate a steering and braking control parameter combination; and according to the real-time load threshold cross-border state, dynamically adjusting the task priority, allocating real-time calculation core resources to the chassis system, and generating an optimal allocation scheme. According to the method, the problems of multi-source load data fusion failure, resource allocation rigidity and safety task response delay in the prior art are solved, and dynamic load optimization of the vehicle body control system under complex working conditions is realized.

The invention belongs to the field of vehicle early warning, and particularly relates to a vehicle hidden danger recognition and safety early warning method and device, and the method comprises the following steps: collecting vehicle speed, tire pressure and road condition data, obtaining the states of key parts of an engine and a braking system through combining an OBD system, and achieving the dynamic perception of a whole vehicle; based on a deep learning algorithm, accurately identifying the too short distance of the front vehicle, fatigue driving, overspeed, area deviation, long-term left-occupying driving of a lane, vehicle retrograde driving and abnormal line pressing tracks; through vehicle-mounted OBD data and cloud large model analysis, potential mechanical faults of tire wear and brake pad aging are predicted, and maintenance suggestions are pushed in advance, so that a driver can be reminded of safety, the driving safety is improved, the hidden danger recognition capability is improved, safety preventive warning is performed on hidden dangers, the driving safety is ensured, and the driving safety is improved. Meanwhile, the vehicle can be guided to avoid high-risk or forbidden road sections, and the probability that the vehicle enters a dangerous or forbidden area is reduced.

A system may be configured for cooperation between language model agents. An agent may be, for example, a computer system, or a software component executing on a computer system, that can accept text and / or natural language inputs, draw upon an LM to process the inputs and perform a function, and respond via text and / or natural language outputs. An agent may act as a mediator to interact with a user, identify a task requested by the user, and delegate one or more subtasks to another agent or other resource. An agent may act as a delegate to handle tasks or subtasks delegated by a mediator. Agents may communicate with each other using a combination of structured and unstructured language; for example, one or more parameters and a natural language message.

The invention provides a heavy truck battery compartment guiding method and system based on visual perception. The method and system are used for automatic battery replacement operation in a complex industrial environment. According to the system, a multi-camera fusion visual perception platform is constructed, a plurality of industrial cameras arranged on the ground or ceiling of a battery swap station are used for collecting local images of different visual angles of a battery compartment, and a complete visual field image is generated through feature matching and image splicing. A battery compartment is coarsely positioned by adopting a YOLO series model, a bounding box region is extracted, pixel-level contour segmentation is realized by introducing SAM, and the complex background and multi-interference environment recognition capability is enhanced. And after segmentation, calculating a minimum enclosing rectangle of the battery compartment, obtaining a center coordinate and a deviation angle, and transmitting a pose parameter to an upper computer control system. According to the method, the defects of the laser radar are avoided, image processing, the deep neural network and multi-view information are fused, the recognition precision and stability are improved, the battery replacement efficiency and the unmanned level of the electric heavy truck can be remarkably improved, and reliable support is provided for green traffic.

Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a plurality of energy storage units that include a supercapacitor and an electrochemical battery. The system includes an energy controller that tracks historical power draw from the plurality of energy storage units over time in power tracking data, and that identifies a power draw based on the power tracking data. The energy controller switches between a first configuration and a second configuration based on the identified power draw. The first configuration is configured for drawing power from the electrochemical battery and disconnecting from the supercapacitor, while wherein the second configuration is configured for drawing power from the supercapacitor and disconnecting from the electrochemical battery.

The invention discloses a training method of a large language model for vehicle voice interaction, a voice interaction method, a server and a computer readable storage medium. The method comprises the following steps: acquiring vehicle knowledge information, wherein the vehicle knowledge information comprises function point information of vehicle function points and association information between the vehicle function points; and based on a preset mask language model, generating first training data according to the vehicle knowledge information. And training the base model according to the first training data to obtain a large language model. Thus, incremental pre-training is performed on the base model according to the generated first training data, the understanding ability of the large language model is improved, the model can accurately understand the user instruction without labeling data, intelligent and convenient interaction experience is provided for the user, and therefore the cost of model training is reduced.

A method is provided for arranging a high-voltage accumulator having a plurality of battery modules on a support structure of a motor vehicle, in which the battery modules are arranged and fastened on a base plate, and the base plate is fastened on a bottom plate of the support structure of the motor vehicle, as a result of which the base plate and the bottom plate provide an accumulator housing which delimits an accumulator interior in which the battery modules are accommodated. At least one connection field is mechanically connected to the support structure. The connection field is able to electrically and / or fluidically connect the high-voltage accumulator to the motor vehicle.

A battery cell includes an electrode assembly, a case, an end cover assembly, and a current collecting component. The electrode assembly includes a first tab. The case is used for accommodating the electrode assembly, and the case has an opening. The end cover assembly covers the opening and is provided with an electrode lead-out portion. The current collecting component includes a tab connecting region and an end cover connecting region. The tab connecting region is used for connecting to the first tab. The end cover connecting region is welded to the inner side of the electrode lead-out portion and forms a first welded portion. The penetration depth of the first welded portion formed on the electrode lead-out portion is smaller than or equal to the thickness of the electrode lead-out portion.

The invention provides a human factor engineering test method and system for an emotion cockpit, and the method comprises the steps: S1, obtaining multi-source data, which comprises a facial image, a voice signal and a physiological signal; the obtained multi-source data are preprocessed, and preprocessed multi-source data are obtained; s2, performing feature extraction based on the preprocessed facial image, the voice signal and the physiological signal to obtain a facial expression feature vector, an audio feature vector and a physiological state feature vector; s3, constructing a multi-modal fusion vector based on the facial expression feature vector, the audio feature vector and the physiological state feature vector; s4, constructing a joint emotion recognition model, and carrying out emotion classification on the multi-modal fusion vector by utilizing the constructed joint emotion recognition model; and S5, according to the emotion type, cabin environment parameters are automatically adjusted through an AI system according to an environment adjustment strategy.

The embodiment of the invention relates to the technical field of air bag safety, and discloses an air bag controller compatible with a multi-channel point explosion loop, a method, equipment and a medium. The cooperative control module is used for cooperatively controlling an air bag ignition loop and a safety belt pre-tightening loop and is configured to cooperatively trigger an air bag and a safety belt pre-tightening device based on the collision signal; the multi-channel sensor interface comprises a plurality of synchronous sensor channels and a plurality of asynchronous sensor channels and is used for collecting multi-dimensional collision data; the two paths of integrated ignition chips adopt a power supply separation design, each path of ignition chip is configured to control a plurality of air bag ignition loops, and power supply monitoring is carried out through pin cascade connection; and the diagnosis and trigger switching circuit is configured to disconnect the ignition power supply loop and conduct the diagnosis loop in the diagnosis mode, and conduct the ignition power supply loop and disconnect the diagnosis loop in the ignition mode. The technical problem of air bag multi-scene control can be at least solved.

According to an embodiment, it is a system comprising a sensor, a communication module and a processor, wherein the processor is operable to detect, via a detection module, a first identity of a first occupant of a vehicle; connect, via the communication module, to a first device of the first occupant; retrieve, a first occupant profile, wherein the first occupant profile comprises a first vehicle setting; detect, via the detection module, a second identity of a second occupant of the vehicle; connect, via the communication module, to a second device of the second occupant; retrieve, a second occupant profile, wherein the second occupant profile comprises a second vehicle setting; adjust, via a conflict resolution module, the first vehicle setting and the second vehicle setting based on the first occupant profile and the second occupant profile; and apply, the first vehicle setting and the second vehicle setting to the vehicle.

A method of diagnosing a software system of a vehicle includes receiving data related to the software system of the vehicle, identifying an anomalous event based on a pattern of the received data, and collecting contextual information related to the anomalous event. The method also includes inputting the anomalous event and the contextual information to a machine learning model, determining a root cause of the anomalous event by the machine learning model, and based on determining that the anomalous event corresponds to the malfunction, performing a mitigating action.

The invention discloses a vehicle control method, a server and a computer readable storage medium. The method comprises the steps that current perception information is acquired, the current perception information comprises user perception information and vehicle perception information, and the user perception information comprises user voice and / or user behaviors; according to the current perception information, determining an intention label, a user intention and candidate function points; and determining a vehicle control instruction according to the intention label, the user intention and the candidate function points. And issuing a vehicle control instruction to the vehicle to complete vehicle control. Thus, by combining the multi-mode current perception information, distinguishing the intention label of the user intention and understanding and reasoning the user intention, the service meeting the user expectation can be actively provided, and the driving experience of the user is improved.

An apparatus can include a strap assembly. The strap assembly can couple with a seatback of a vehicle. The strap assembly can include a strap. The strap can couple an object with the seatback of the vehicle.

The invention relates to the technical field of automobile door locks, and discloses a vehicle door lock standby unlocking method which is applied to a vehicle door lock standby unlocking system, under the normal condition, a main power source supplies power, and a vehicle body controller receives a collision signal from a safety air bag unit and controls at least one door lock motor to work so as to drive at least one vehicle door to be opened. Under the abnormal condition, a collision signal from the safety air bag unit and / or a fault signal from the vehicle body main controller are / is received; according to the collision signal / fault signal, a standby power supply is controlled to supply power to at least one door lock motor to enable the door lock motor to work so as to drive at least one vehicle door to be opened; the collision signal indicates that a vehicle collides, and the fault signal indicates that a vehicle body domain controller breaks down. By the adoption of the explanation method, a feasible channel is provided for rescue workers to open the vehicle door from the outside to implement rescue, guarantee is provided for safe unlocking of the vehicle door under the crisis condition, and smooth implementation of follow-up rescue is guaranteed.

A method for installing a wiring harness into a vehicle including coupling at least one module and the wiring harness to a fixture to form a structure, moving the structure to the vehicle, decoupling the module and the wiring harness from the fixture, coupling the module and the wiring harness to the vehicle, and removing the fixture from the vehicle.

An active air flap system mounted in a predetermined portion of a vehicle, includes: a housing, a flap mounted on the housing to be relatively movable, an actuator coupled to the at least one flap and configured to drive the at least one flap, and a power transfer mechanism engaging the actuator and the flip and configured to transfer power from the actuator to the at least one flap so that the at least one flap performs a dual operation of a sliding movement operation and a rotation operation of rotating around a predetermined rotation axis, preventing the occurrence of design heterogeneity and the air resistance caused by forming the space between the at least one flap and the radiator grill, and improving shielding properties.

A control execution unit is connected both a main bus and a sub bus, and includes an execution unit and a selection unit. The execution unit performs vehicle control according to a selected manipulated variable being either a main manipulated variable from a main processing unit connected to the main bus or a sub manipulated variable from a sub processing unit connected to the sub bus. The selected manipulated variable is set to the main manipulated variable in an initial state, and the selection unit switches over the selected manipulated variable from the main manipulated variable to the sub manipulated variable when communication performed via the main bus satisfies a preset switchover condition.

A vehicle roof having a roof skin arrangement which may have at least one cover element and the vehicle roof having at least one sensor module having at least one environment sensor for detecting a vehicle environment which is at least partially covered by the cover element, the cover element being limited by an edge gap via which air, in particular cooling air, for the sensor module flows under the cover element.

The invention discloses a power domain controller system, which relates to the technical field of vehicle design and research and development and comprises a domain control board, a power module and a high-voltage power distribution part, the domain control board comprises a vehicle control unit, a heat management controller, a battery management system, a gear shifting controller and a power distribution control unit, wherein the heat management controller, the battery management system, the gear shifting controller and the power distribution control unit are electrically connected with the vehicle control unit. The heat management controller is electrically connected with the power distribution control unit. The power module comprises a slow charging motor, a DCDC converter and a relay, the slow charging motor is electrically connected with the battery management system, and the DCDC converter is electrically connected with the gear shifting controller; and the high-voltage power distribution part comprises a copper bar, a relay and a fuse. Through multi-module integration, the number of physical controllers and wiring harness complexity are reduced, the system development and maintenance cost is remarkably reduced, and meanwhile platform expansion is facilitated.

The invention relates to an automatic telescopic electric pedal system and a use method thereof. The automatic telescopic electric pedal system comprises a control unit, an instruction input unit, a vehicle state detection unit, an intelligent preheating unit, an omnibearing obstacle detection unit, a self-adaptive adjustment unit, an intelligent interaction unit and an emergency management unit. On the one hand, the omnibearing obstacle detection unit builds a first safety defense line, through precise sensor layout and efficient data processing flow, rapid early warning and timely avoidance of potential collision risks are achieved, and running safety of the pedal is guaranteed. And on the other hand, after the emergency management unit receives the fault information, corresponding processing strategies are rapidly and accurately matched according to multiple built-in preset emergency schemes and aiming at different fault types, and emergency signals are sent to the vehicle central control system at the same time, so that driving and getting-on and getting-off safety is guaranteed in an all-around mode; the system can deal with sudden failures or potential collision risks in order, and the life and property safety of people in the vehicle is practically guaranteed.

A battery management system includes a battery pack and a controller in communication with the battery pack and a packing actuator of the refuse vehicle. The controller is configured to receive a state of charge of the battery pack, determine if the state of charge satisfies a lower threshold, in response to determining that the state of charge satisfies the lower threshold, prevent operation of the packing actuator, determine if the state of charge satisfies an upper threshold, and in response to determining that the state of charge satisfies the upper threshold, initiate operation of the packing actuator.

The invention relates to an electrical / electronic component (10) for a motor vehicle, comprising a housing (12) enclosing a receiving space (14), at least one electrical or electronic component (16) which is received in the receiving space (14), a heat conducting element (18) which is arranged on a surface of the component (16) to be cooled and is designed to conduct heat away from the component (16), and a coolant guide device (20) which is configured to guide a dielectric coolant (22) to the heat conducting element (18), whereby the heat conducting element (18) can be exposed to and surrounded by the coolant (22), whereby heat can be transferred from the heat conducting element (18) to the coolant (22).

The invention discloses an intelligent vehicle maintenance management system and method based on big data analysis, and relates to the technical field of intelligent vehicle maintenance, and the method comprises the following steps: collecting various kinds of vehicle driving data in real time in the vehicle driving process through a data collection device, and providing a reliable basis for subsequent analysis and decision making. Through real-time analysis of vehicle driving data and combination of a machine learning model, the system can dynamically adjust the detection frequency and the maintenance strategy, and it is ensured that maintenance better fits the actual use environment. For a rugged road surface, the system accurately recognizes a high-risk state according to the impact load, the vehicle body rolling acceleration and other characteristics, early warning is conducted in time, the maintenance frequency is optimized, excessive maintenance is avoided, meanwhile, the safety is improved, and the maintenance cost is reduced.