Abstract: A tire noise testing method, a vehicle and a control device that are efficient in an actual vehicle noise test. The method of the invention is conducted while a vehicle is driven automatically. The method includes a step of operating a control unit when the vehicle reaches a predetermined position or reaches a predetermined speed, for putting the vehicle into coast-traveling with a prime mover of the vehicle in a non-driving state. The method further includes a step of operating a measuring unit for measuring the tire noise of the vehicle during the coast-traveling of the vehicle.

Abstract: Provided is a process that includes: obtaining, using one or more surface tension sensors, one or more surface tension measurements of a surface, determining a reaction force for an aircraft using the one or more surface tension measurements and a weight of the aircraft. The process includes causing one or more engines included in the aircraft to generate thrust based on the reaction force.

Abstract: A drive recorder to be mounted on a vehicle includes an acquisition unit, a recording unit, a communication unit, and a control unit. The acquisition unit acquires data representing driving condition. The recording unit records the acquired data. The communication unit transmits the acquired data to the outside. The control unit controls the quality of the data to be transmitted based on the information received from the outside.

Abstract: Disclosed are methods and systems for predicting time varying loudness in a geographic region. Training data, including noise information, weather information, and traffic information is collected from a plurality of sensors located in a plurality of geographic regions. The information is collected during multiple time periods. The noise information includes time varying loudness. Static features of the geographic regions are also defined and included in the training data. The static and time varying dynamic features train a model. The model is used predict time varying loudness within a different region and at a time later than times the training data is collected. The predicted loudness levels are utilized, in some aspects, to determine a route for an aircraft.

Abstract: A method for controlling a vehicle includes identifying a user identity associated with a user riding in the vehicle, determining a destination associated with the user identity, creating a detection zone proximate to the vehicle when the vehicle is localized in a first drop-off location associated with the destination, causing a sensory system to identify a hazard within the detection zone and generate a localization of the hazard, determining that a first probability of realizing a risk associated with the hazard is less than a first probability threshold, and generating a vehicle door actuation that permits the user to exit the vehicle based on the first probability of realizing the risk.

Abstract: A vehicle state monitoring device includes a storage device configured to store information relating to a vehicle traveling under power from an engine; a determining device configured to determine a state of the vehicle using the information stored in the storage device; and a storage control device. The storage control device is configured to, each time the vehicle travels a predetermined distance, store a frequency relation as the information in the storage device. The frequency relation is a relation between revolutions of the engine, a fuel-related parameter that is a load factor or a fuel injection rate of the engine, and a running frequency of the engine at the revolutions and the fuel-related parameter while the vehicle travels the predetermined distance.

Abstract: A vehicle includes a traction battery and a cell monitor associated with battery cell strings each having associated connected battery cells. Each monitor is configured to generate a compressed encoded representation of the traction battery cell voltage measurements using artificial intelligence, such as a neural network. A battery controller in communication with each cell monitor receives the compressed encoded representation and generates reconstructed battery cell voltage measurements and controls the traction battery in response to the reconstructed traction battery cell voltage measurements. An unencoded battery cell voltage measurement may be communicated with the compressed encoded representation of the battery cell voltage measurements and used to validate the reconstructed measurements.

Abstract: Techniques for monitoring and predicting vehicle health are disclosed. In some examples, sensor data (e.g., audio data) may be used to create a sensor signature associated with a vehicle component. The sensor signature may be compared with one or more second sensor signatures associated with the vehicle component over the life of the vehicle component to determine changes in an operating status associated with the vehicle component. In some examples, a machine learned model may be trained to identify a vehicle component and/or and operating status of a vehicle component based on sensor data that is inputted into the machine learned model. In this way, sensor data may be input into the machine learned model and the machine learned model may output a corresponding vehicle component and/or operating status associated with the component.

Abstract: A control system is provided that may include a controller for a vehicle system. The controller may include one or more processors configured to obtain at least one first operating parameter related to an operating system of the vehicle system, and determine an operating condition of the operating system based at least in part on the first operating parameter. The one or more processors may also be configured to communicate with an off-board sensor to obtain at least one auxiliary operating parameter related to the operating condition, and verify the operating condition based at least in part on the auxiliary operating parameter.

Abstract: A vehicle includes a battery pack including a secondary battery, a battery sensor that detects a state of the secondary battery, and a first control device, a second control device provided separately from the battery pack, and a converter. The first control device is configured to use a detection value of the battery sensor to obtain a current upper limit value indicating an upper limit value of an input current of the secondary battery. The second control device is configured to use a power upper limit value indicating an upper limit value of an input power of the secondary battery to control the input power of the secondary battery.

Abstract: A driving assist apparatus executes an autonomous braking control when a predetermined autonomous stop condition becomes satisfied, executes a stopped state keeping control to keep the own vehicle stopped after stopping the own vehicle by the autonomous braking control, and terminates executing the stopped state keeping control when a predetermined stopped state keeping termination condition becomes satisfied while executing the stopped state keeping control. The driving assist apparatus executes a driving force limitation control to limit a driving force generated to move the own vehicle to a value smaller than the driving force which depends on an amount of operating the acceleration pedal when determining that the predetermined stopped state keeping termination condition is satisfied, and a mistaken pressing operation occurs. The mistaken pressing operation is an operation performed by a driver to mistakenly press an acceleration pedal with an intention to press a brake pedal.

Abstract: In an automated vehicle (AV) system, interdependencies between components of the AV are determined, an operational domain state of one or more of the components can be determined based on the determined interdependencies, and an output signal representing the operational domain state of the one or more components can be generated. A user interface can present a notification based on the output signal to notify the driver and/or other occupants of the AV of the operational domain state of one or more of the components.

Abstract: This disclosure relates to improved techniques for personalizing vehicle routes and operator sessions using pre-trained machine learning language models. In certain embodiments, a language model is trained on operator interaction data to learn operator route preferences for vehicle operators. These learned operator route preferences can be leveraged to optimize and personalize vehicle routes and operator sessions in various ways. Other embodiments are disclosed herein as well.

Abstract: A deterioration evaluation apparatus for a secondary battery, which evaluates a degree of deterioration of the secondary battery of a hybrid vehicle including an engine that outputs a driving power, a motor that outputs a driving power, and the secondary battery configured to exchange an electric power with the motor, includes one or more processors configured to evaluate the degree of deterioration of the secondary battery based on a first relationship. The first relationship is set by using an accelerator operation amount and an operation point. The operation point includes a rotation speed of the engine and a load factor of the engine. The first relationship is a relationship between the operation point and a load on the secondary battery when the engine is operated at the operation point.

Abstract: The present disclosure relates generally to aggregation of data associated with events related to automotive vehicles. Automotive vehicles may include a variety of sensing devices used in local sensing operations. However, these sensing devices may not be leveraged beyond the local sensing operations. When automotive vehicles are operated, sometimes events occur. As discussed herein, an event-based data aggregation service may aggregate sensing data from one or more sensing devices, such as sensing devices of the automotive vehicles, in response to receiving an event notification associated with one or more of the events and may use the sensing data when responding to the event notification.

Abstract: A system and method are disclosed for monitoring rides in a vehicle in which a driver of the vehicle picks up a rider at a pickup location and drives the rider to a drop-off destination. The system includes at least one sensor arranged in the vehicle and configured to capture sensor data during the rides, a transceiver configured to communicate with a personal electronic device of a driver of the vehicle, a non-volatile memory configured to store data; and a processor. The system captures sensor data during a ride, determines an activity index indicating an activity level within the vehicle during the ride, and stores the sensor data captured during the ride with the activity index as metadata. In response to an upload request, the system uploads sensor data depending on the activity level.

Abstract: A system and method for providing charging options based on electric vehicle operator daily activities that include analyzing data associated with daily activities of an operator of an electric vehicle and determining at least one travel routine and at least one prospective travel plan that is completed by the operator of the electric vehicle based on the daily activities. The system and method also include determining a current geo-location of the electric vehicle. The system and method further include presenting an electric vehicle charging planner user interface that presents at least one prospective travel path to the at least one predicted point of interest.

Abstract: A system and method preserves raw vibration data for a physical event involving a transport vehicle such as a helicopter, plane, boat, car, or truck. The event may involve unexpected mechanical stresses on the vehicle. The system and method preserves raw vibration data for parts of the transport vehicle, such as from multiple points along the drive train. The preserved raw vibration data includes data from time prior to the physical event. In an embodiment, the system and method continuously detects vibration data, and stores the most recent vibration data in a circular memory buffer. The buffer is continually updated with the most current vibration data. When an event is automatically detected or manually triggered, the most recently saved vibration data is transferred from the buffer to permanent storage, along with vibration data obtained subsequent to the event. This allows for a more thorough post-event analysis.

Abstract: The present disclosure relates to an electrical parking control method and device, a readable storage medium and a computer device. The method includes that: when it is detected that a vehicle is in a self-piloting mode and a preset parking control condition is satisfied, a parking switching request message is generated, and sent to a VCU; a parking switching message fed back by the VCU is received, the parking switching message being a message generated when the VCU detects that a vehicle state is executable parking switching; a parking switching signal corresponding to the parking switching message is generated; and the parking switching signal is pushed to an external Electrical Park Brake (EPB) system, the parking switching signal being used to switch a state of the external EPB system, the state including a tightening state and a releasing state.

Abstract: An information provision device and an information provision system that can reduce user anxiety when the charge amount of a battery has decreased are provided. A vehicle 100 is provided with a charge amount determination unit 611 that determines whether a charge amount of a battery 40 is less than a predetermined threshold; a minimum remaining travel distance calculation unit 613 that calculates a minimum remaining travel distance on the basis of error information for the vehicle 100 when the charge amount of the battery 40 is less than the predetermined threshold; and a display control unit 616 that displays, on a display unit 64 of a display device 60, charging equipment information related to charging equipment 300 present within a distance that can be traveled to in accordance with the minimum remaining travel distance.