328results about "Other vehicle parameters" patented technology

System and methods are disclosed for navigating a host vehicle. In one implementation, at least one processing device may be programmed to receive an image representative of an environment of the host vehicle, identify, based on the image analysis, a target vehicle, select a safe navigation mode among a plurality of available safe navigation, each of the safe navigation mode being associated with a corresponding safe navigation distance, determine a planned navigational action for the host vehicle that if taken would result in a next-state distance between the host vehicle and the target vehicle greater than or equal to the selected safe navigation mode safe navigation distance, and implement the planned navigational action by controlling one or more actuators associated with the host vehicle. The at least one processing device may be further programmed to select a safe navigation mode based on a detected location or condition of the host vehicle.

This application discloses a method, system, and related equipment for intelligent energy management of new energy vehicles. Based on the vehicle's starting and ending points, at least one candidate energy-saving path is determined. The predicted energy consumption of the vehicle along at least one candidate energy-saving path is lower than that of other paths. The total energy consumption is predicted based on road condition information and energy consumption impact information for each path. In response to the selection of at least one candidate energy-saving path, a preset travel route is determined. The preset travel route includes multiple road segments, and the total energy consumption includes the energy consumption of each road segment. With the goal of minimizing fuel consumption along the preset travel route, the engine's operating state is controlled based on the initial state of charge (SOC) of the power battery in each road segment, the energy consumption of the road segment, and the vehicle's actual overall demand, ensuring the engine operates within its high-efficiency range. Using this application can reduce fuel consumption for users and improve the driving experience.

A new energy vehicle energy intelligent management method and system, and a related device. The method comprises: determining at least one candidate energy-saving path on the basis of a starting point and an ending point of a vehicle, wherein path-based vehicle energy consumption predicted on the basis of the at least one candidate energy-saving path is lower than path-based vehicle energy consumption predicted on the basis of other paths, and the path-based vehicle energy consumption is predicted on the basis of road condition information of each path and energy consumption impact information; in response to a selection operation on the at least one candidate energy-saving path, determining a preset travel path, wherein the preset travel path comprises a plurality of road sections, and the path-based vehicle energy consumption comprises road section-based vehicle energy consumption of the plurality of road sections; and by taking the minimization of fuel consumption along the preset travel path as an objective, controlling an operation state of an engine on the basis of an initial SOC of a power battery and the road section-based vehicle energy consumption at each road section and an actual vehicle demand of the vehicle, so that the engine is in an efficient operation range during operation.

Disclosed herein are an adhesion coefficient determination method and apparatus, and a vehicle, a medium and a program product. The method comprises: acquiring sensor data collected by at least one sensor of a vehicle; on the basis of the sensor data, determining travelling information of the vehicle, wherein the travelling information comprises at least one of the following: a slip rate, longitudinal stiffness, a tire longitudinal force, a tire lateral force, a tire vertical load, a front-axle lateral force and a rack force; on the basis of the travelling information, or the sensor data and the travelling information, determining at least one reference adhesion coefficient and a confidence level of each reference adhesion coefficient, wherein the at least one reference adhesion coefficient comprises at least one of the following: a steady-state adhesion coefficient, a dynamic adhesion coefficient, a longitudinal adhesion coefficient and a lateral adhesion coefficient; and on the basis of the at least one reference adhesion coefficient and the confidence level of each reference adhesion coefficient, determining a target adhesion coefficient of the vehicle and a confidence level of the target adhesion coefficient. The method in the embodiments of the present application improves the accuracy of adhesion coefficient determination.

A vehicle acceleration control method, includes: obtaining a change rate of an accelerator pedal opening degree of an accelerator pedal and a remaining energy value of a vehicle in a racetrack mode; determining a target torque compensation value based on the change rate of the accelerator pedal opening degree and the remaining energy value of the vehicle; and controlling the vehicle to accelerate based on a sum of the target torque compensation value and a maximum output torque value.

Systems, methods, and computer program products are disclosed for generating a user-customized driving policy for use in navigating at least one host vehicle. The generation of the user-customized driving policy may include accessing a host vehicle driving policy model, wherein the host vehicle driving policy model includes a customizable driving performance component and an invariant navigational constraint component; receiving a driving performance value for assignment to the at least one controllable performance parameter; updating the customizable driving performance component based on the received driving performance value; generating the customized driving policy based on the updated customizable driving performance component and the invariant navigational constraint component; and outputting the customized driving policy for use in navigating the at least one host vehicle.

Methods and systems for autonomous and semi-autonomous vehicle control relating to malfunctions are disclosed. Malfunctioning sensors or software of autonomous vehicles may be identified from operating data of the vehicle, and a component maintenance requirement status associated with such malfunctioning component may be generated. Based upon such status, usage restrictions may be enacted to limit operation of the vehicle while the component is malfunctioning. This may include disabling or restricting use of certain autonomous or semi-autonomous features of the vehicle until the component is repaired or replaced. Repair may be accomplished by automatically scheduling repair of the vehicle or installing an updated or uncorrupted version of a software program, in various embodiments.

An assistance system includes: a perception module configured to collect sensor data including data tracking behavior of a vehicle occupant in a host vehicle, and to determine perception information describing a current situation warranting initiation of an interactive dialog with the vehicle occupant; an interactive goal module configured to determine an interactive goal based on the determined perception information; an interaction timing module configured to determine timing for initiating the interactive dialog based on the interactive goal; a dialog module configured to, based on the perception information and the timing, initiate the interactive dialog to provide at least one of a suggestion and an offer to the vehicle occupant; and a vehicle control module configured to control operation of at least one of a device and a system of the host vehicle in response to the vehicle occupant accepting the at least one of the suggestion and the offer.

A method for controlling a vehicle on a mission, the vehicle comprising a first and a second power source for driving the vehicle itself, wherein the first power source comprises an engine configured to generate power from fuel and an after treatment system coupled to the combustion engine, the method comprising the steps of solving a convex first optimal control problem based on a mathematical model of the vehicle, the first optimal control problem involving state variables for the after treatment system, a set of constraints, and a cost function having control variables that include a discrete variable and a continuous variable; the solving including an initial determination of the discrete variable and an iterative execution of minimizing the cost function after replacement of the discrete variable with respect to the continuous variable, updating the discrete variable, and verifying the satisfaction of a convergence criterion.

A vehicle control device and a method thereof are provided. The vehicle control device includes a processor, a sensor, a battery, and a memory. The processor: predicts a change in speed of a vehicle based on a route of the vehicle, using map information received from an external server, while driving the vehicle; divides the route of the vehicle into a plurality of partial routes, using the change in speed of the vehicle; obtains state of charge (SOC) information of the battery in each partial route of the plurality of partial routes, wherein the SOC information changes based on the change in speed of the vehicle; and obtains ratio information between a transit time when the vehicle passes through each partial route and a driving time of the vehicle based on a hybrid electric vehicle (HEV) mode in each partial route, using the SOC information.

The invention discloses a range extender control method. The method comprises the steps that a user demand intention and a vehicle working condition scene are obtained; identifying the intention complexity of the user demand intention; under the condition that the intention complexity is the first intention complexity, generating a first range extender control strategy based on the user demand intention; under the condition that the intention complexity is second intention complexity, a second range extender control strategy is generated based on the vehicle working condition scene and the user demand intention; and controlling the range extender according to the first range extender control strategy or the second range extender control strategy. According to the method, the user demand intention is acquired, the complexity of the user demand intention is identified, and the multi-level control strategy is dynamically generated in combination with the vehicle working condition scene, so that the problems of single control strategy and insufficient user interaction in the prior art are solved, and the method has the advantages of improving the flexibility and adaptability of the control strategy and meeting the personalized demand of the user.

Systems and methods are disclosed for generating a fueling plan based on navigation data for the trip, fuel type data for the vehicle, and fuel price data for fuel locations within a geographic threshold of the trip. The fueling plan may include a selected fuel location. For instance, the system may determine, based on the fuel type data, that the vehicle cannot reach the selected fuel location. In response to this determination, the system may automatically configure the vehicle to reduce fuel consumption. In some embodiments, this may include limiting acceleration of the vehicle, limiting speed of the vehicle, or modifying the operation of non-critical systems and services, such as shutting down the AC, opening or closing windows of the vehicle, limiting the number of built-in screens which are consuming content or disabling the functionality of some or all the screens, disabling media streaming functionality or auxiliary functionality such as pairing a phone with the infotainment system, disabling device chargers, etc.

The present invention relates to determination of a state of a vehicle on a road portion. The vehicle includes an Automated Driving System (ADS) feature. At first, map data associated with the road portion, positioning data indicating a pose of the vehicle on the road, and sensor data of the vehicle are obtained. Then, a plurality of filters for the road portion are initialized. Further, one or more sensor data point(s) in the obtained sensor data is associated to a corresponding map-element of the obtained map data to determine one or more normalized similarity score(s). Now, based on the determined one or more normalized similarity score(s), one or more multivariate time-series data are also determined and provided as input to a trained machine-learning algorithm. Then, one of the initialized filters is selected by the machine learning algorithm to indicate a current state of the vehicle on the road portion.

A vehicle wheel force control system includes multiple vehicle wheel height sensors, a vehicle IMU configured to measure lateral and longitudinal acceleration, and a vehicle control module is configured to obtain vehicle wheel height parameters from the multiple vehicle wheel height sensors, obtain a vehicle lateral and longitudinal acceleration parameters from the vehicle IMU, estimate a pitch arm rotation value of the vehicle, determine a pitch center of the vehicle based on the pitch arm rotation value, the vehicle wheel height parameters and the vehicle lateral acceleration parameter and the vehicle longitudinal acceleration parameter, calculate a center of gravity of the vehicle according to the determined pitch center, determine an estimated normal force on at least one wheel of the vehicle based, at least in part, on the calculated center of gravity of the vehicle, and control operation of at least one vehicle component according to the estimated normal force.

Disclosed herein are methods and systems to provide intelligent display for vehicles including a method that comprises determining data associated a road sign; retrieving driving data associated with a vehicle; generating, using the driving data and data associated with the road sign, a graphical overlay presenting a virtual object corresponding to the trajectory of the vehicle or data associated with the vehicle; and presenting on an electronic device associated with the vehicle, the graphical overlay while the electronic device is presenting an image of a surrounding of the vehicle, wherein the graphical overlay is superimposed upon an image of the road sign.

According to an embodiment, it is a system comprising a detection module, an estimation module, and a processor, and wherein the processor is operable to detect, via the detection module, a change in configuration of a vehicle; and estimate, via the estimation module, a new range of the vehicle based on the change in the configuration of the vehicle, wherein the change in configuration comprises adding an item to the vehicle.

A communication device acquires schedule information in which a schedule of a user who uses a hybrid electric vehicle is recorded. The schedule information includes a traveling schedule for causing the hybrid electric vehicle to travel in a predetermined period. The predetermined period is a period from when fuel of an engine is refueled to a predetermined deterioration time. When a traveling distance in a long-distance traveling schedule is a first distance, an ECU increases a usage ratio of the engine in the predetermined period than when the traveling distance is a second distance that is longer than the first distance. The long-distance traveling schedule is a schedule included in the traveling schedule and in which the hybrid electric vehicle travels for a predetermined distance or longer.

Method and system for selecting a vehicle route. For example, the method includes collecting information for a future vehicle trip that will be made by a user, generating multiple routes for the same future vehicle trip, predicting an amount of fuel consumption for each of the multiple routes based at least in part upon information for the route and user driving features of the user, and selecting a route from the multiple routes based at least in part upon the amounts of fuel consumption predicted for the user, where the selected route corresponds to a least amount among the amounts of fuel consumption predicted for the user.

The present application discloses a method and device for determining the cruising range, a hybrid vehicle, and a storage medium, belonging to the technical field of automobiles. The method includes: obtaining the remaining fuel quantity, the first fuel consumption per unit mileage, and the first power consumption per unit mileage in the hybrid vehicle; determining the first converted consumption as the product of the first power consumption and the conversion ratio, where the conversion ratio refers to the ratio between the fuel consumption per unit mileage and the power consumption per unit mileage during the historical driving process of the hybrid vehicle, and the first converted consumption refers to the consumption after converting the first power consumption into fuel; and determining the cruising range of the remaining fuel quantity of the hybrid vehicle based on the remaining fuel quantity, the first fuel consumption, and the first converted consumption. The present application excludes the influence of the power on the cruising range of the hybrid vehicle, ensures that both the fuel consumption and the power consumption are comprehensively considered, and improves the accuracy of determining the mileage that the remaining fuel can support the hybrid vehicle to travel.

Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and / or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

Safe operation of vehicle controllers is described. In one or more implementations, a system includes a vehicle network, a plurality of edge devices in communication with the vehicle network and operable to implement vehicle operations, and a vehicle control system in communication with the vehicle network and having at least two processors configured to redundantly control the vehicle operations implemented by the edge devices. Each of the processors is operable to self-report a respective processor health to the vehicle network for enabling each edge device to independently arbitrate to be controlled by a healthiest processor.

An apparatus, a system, and a method for controlling an in-car temperature of an autonomous vehicle are provided. The control server determines an expected in-car temperature according to a re-riding time of each of one or more parking positions corresponding to a destination or a re-riding position of an autonomous vehicle, selects an optimal parking position or a temporary parking position based on the expected in-car temperature and an outdoor air temperature according to the re-riding time, transmits information about the optimal parking position or the temporary parking position to the autonomous vehicle. The controller of the autonomous vehicle is configured to perform autonomous driving and autonomous parking depending on the information about the optimal parking position or the temporary parking position, recognizes a voice of a user, determines autonomous driving related control corresponding to the voice of the user, and performs the autonomous driving related control corresponding to the voice of the user.

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.

The invention discloses a vehicle multi-power coordination control method and device, a medium and a product, and relates to the field of deep learning, and the method comprises the steps: defining the real-time speed of a vehicle and the real-time remaining capacity of a battery as state variables, and defining the output power of an engine as an action variable; determining awards at all moments based on the instantaneous fuel consumption rate and the residual electric quantity fluctuation degree of the vehicle at all moments; and taking the state quantity at each moment, the action variable at each moment and the reward at each moment as the real-time state of the vehicle. Inputting the real-time state of the vehicle in a preset time period into the trained off-line energy management controller, and determining the reference output power of the engine at each moment in the preset time period; based on the reference output power of the engine at each moment in the preset time period, determining the reference rotating speed of the engine at each moment; and determining the target output power of the engine at each moment according to the reference rotating speed of the engine at each moment and a grey wolf optimization algorithm. And the stability and the energy utilization rate in the vehicle running process are improved.

An electronic control unit of a vehicle having an automatic park-range switching function for automatically turning off a power supply after switching to a P range when a power-off operation is performed, wherein when a power-off operation is performed in a state where the automatic park-range switching function is disabled by a predetermined special operation, the vehicle is turned off in a state where the vehicle is in a neutral range and the power supply is turned off in a state where power supply to the electrical components is interrupted. As a result, the vehicle is parked in a movable state, and battery exhaustion of the power supply is suppressed.

The invention provides a method for determining the door opening collision risk, and the method is applied to a vehicle, and comprises the following steps: S1, detecting a vehicle door opening signal of the vehicle, the vehicle door opening signal representing that a vehicle door of the vehicle is about to be opened or has been opened; step S2, identifying that the vehicle is in a parking scene with a limited rear sensing view field, wherein the parking scene with the limited rear sensing view field comprises that the vehicle is parked on the roadside and another vehicle is parked next to the rear of the vehicle; and S3, when a vehicle door opening signal is detected and it is recognized that the vehicle is in a parking scene with the limited rear sensing view, the door opening collision risk of the vehicle is determined by conducting wireless communication with traffic participants in the surrounding environment of the vehicle. The invention further provides another method for determining the door opening collision risk and a corresponding device. According to the method and the device, the vehicle door opening risk is accurately evaluated in a rear perception limited scene by utilizing a wireless communication technology, and the personnel safety is guaranteed.

In at least some implementations, a method for controlling energy use in a vehicle includes determining a travel path for a trip, determining a duration of travel for the trip, determining an energy requirement to complete the trip within the duration, comparing the energy requirement to a low energy threshold, and reducing the maximum energy output that is provided from the vehicle when the energy requirement is lower than the low energy threshold.

The invention provides a lateral movement sensing method and a vehicle, the method is applied to the technical field of vehicle control, and the method comprises the steps that a tire slip angle value at the current moment is obtained in response to a target calculation instruction of the vehicle; calculating an actual lateral force value at the current moment based on the tire slip angle value and the current wheel slip rate of the vehicle; and calculating the actual lateral motion acceleration of the vehicle according to the actual lateral force value, and evaluating the axle load transfer amount in the vehicle steering process according to the actual lateral motion acceleration. According to the method, the actual lateral force can be calculated in real time according to the tire slip angle and the wheel slip rate in various running states of the vehicle, then the actual lateral motion acceleration of the vehicle is accurately output, different working conditions can be adapted, and the real-time performance and accuracy of vehicle dynamics control are improved.