A system includes obtaining a plurality of automobile part sets through classification based on at least one of the following factors an interface type of an interface of an automobile part, a transmission type used by the automobile part to transmit data, a manufacturer of the automobile part, a type of the automobile part, a safety level of the automobile part, a service type of a service to which data transmitted by the automobile part belongs, or a service level of the service to which the data transmitted by the automobile part in the automobile belongs.

Described herein is a system and method for detecting malodor within a cabin of an autonomous vehicle, wherein initiation of a remediation system and/or dispatch of the autonomous vehicle to a service hub for mitigating the malodor is based upon sensor signals that monitor the cabin of the autonomous vehicle. The remediation system can include devices such as an HVAC system or a window, which are operated to reduce the concentration of airborne molecules in the cabin of the autonomous vehicle when the concentration of airborne molecules exceeds an air quality threshold. A dispatch protocol may be initiated to dispatch the autonomous vehicle to a service hub when the malodor is associated with certain predefined incidents or when remediation fails to reduce the concentration of airborne molecules below the air quality threshold.

Systems and methods relating to controlling a driving system operatively coupled to a vehicle are disclosed. A location is identified using one or more sensors included with the vehicle. An input of the driving system is identified using the location. A desired output of the driving system is determined using the input.

Particular embodiments may provide a device capable of autonomous locomotion comprising means for autonomous locomotion, a device controller for navigation of the device by controlling the means for autonomous locomotion, and a host machine running a hypervisor, one or more user virtual machines (UVMs) and a virtual machine controller, wherein the host machine is communicably coupled to the device controller, and wherein at least one of the UVMs provides navigation instructions to the device controller.

The invention relates to a method for vibration dampening of a drive train, including an internal combustion engine which has an engine torque (Mvm) from a crankshaft, an electric machine, a transmission which has a transmission input shaft and a torque transmission device arranged between the crankshaft and the transmission input shaft, which torque transmission device has at least one flywheel mass capable of oscillating with a moment of inertia (J 1, J2, J3) and a state controller for controlling the electric machine by a compensation torque (Mregler) compensating for torsional vibrations on the transmission input shaft. In order to achieve high-quality vibration damping, input variables of the state controller are determined by at least one observer for reconstructed rotational characteristic values of the at least one flywheel mass from detected rotational speeds or angles of rotation of the drive train, and the reconstructed rotational characteristic values are determined according to the disturbance variables in the form of a load torque (Mlast) from an output of the torque transmission device and of an induced torque (Mind) transmitted via the torque transmission device from the motor torque of the internal combustion engine.

A dynamic adjustment method while driving a vehicle of at least one vehicle operating parameter is for a vehicle having an electronic control unit adapted to set the operating parameter, and a communication interface operatively connected to the electronic control unit. An application program is installed on board a portable processing device including a communication interface communicating with the vehicle communication interface. The application program accesses an electronic map of a path and divides the path in sectors. Operating parameter values are stored via the application program, each value being associated to a corresponding sector. While driving, the sector occupied by the vehicle is identified in real time. Values are transmitted sector by sector, from the portable processing device to the electronic control unit so that the electronic control unit sets, sector by sector, the vehicle operating parameter vehicle to the value associated to the occupied sector.

The machine learning device includes a predicting part configured to use a machine learning model to predict predetermined information, an updating part configured to update the machine learning model, and a part information acquiring part configured to detect replacement of a vehicle part and acquire identification information of the vehicle part after replacement. The updating part is configured to receive a new machine learning model trained using training data sets corresponding to the vehicle part after replacement from a server and apply the new machine learning model to the vehicle, if a vehicle part relating to input data of the machine learning model is replaced with a vehicle part of a different configuration.

A method performed by a control unit for managing energy flows within an energy system of a vehicle is provided. The energy system includes a plurality of energy subsystems connected by converters. The converter can convert energy of one energy form from one energy subsystem to energy of another energy form of another energy subsystem. At least one energy subsystem includes an energy buffer. According to the method performed by a control unit vehicle travel route information is collected for a predefined travel route whereby the travel route can be divided in part routes. By estimating an energy consumption over respective part route for each energy buffer an estimated energy buffer price for respective part route can be calculated by the control unit. The estimated energy buffer price can subsequently be used such that energy can be provided between energy subsystems such that the available energy for a part route can be distributed within the energy system of the vehicle in the most efficient way by the control unit and the usage of respective energy buffer can be optimized.

A vehicular driving control system for performing vehicular driving control based on automated driving and/or driving assistance is provided. The vehicular driving control system includes a driver operation measuring instrument that measures driving operation of a driver, a user uneasiness degree measuring instrument that measures how large a degree of uneasiness of a user is, and a driving control apparatus. When it is determined that the user feels uneasy based on the user uneasiness degree, the driving control apparatus determines an uneasiness factor serving as a source of the uneasiness based on user property data in relation to a traveling situation of a vehicle. Based on the determined uneasiness factor, the driving control apparatus adjusts a control degree of the vehicular driving control, and changes the vehicular driving control so as to decrease the uneasiness of the user.

A biased driving system and a biased driving method are capable of controlling biased driving of a vehicle in consideration of host vehicle location recognition accuracy, nearby vehicle risk, driving style, road curvature, and road shape. The biased driving system includes a control parameter creation unit configured to extract an object causing biasing of a host vehicle using converged object information, which is map information including location and speed of a vehicle around the host vehicle, to create an imaginary line of the extracted object by reflecting at least one of risk of a nearby vehicle, location recognition accuracy, driving style of a driver of the host vehicle, road curvature, or road shape, and to create a control parameter using the imaginary line.