Systems and methods for mitigating wind throb in vehicles are disclosed herein. An example method includes detecting wind throb in a cabin of a vehicle due to opening of a first window of the vehicle, determining when a seat that is adjacent to a second window of the vehicle is unoccupied, opening the second window when the seat is determined to be unoccupied so as to compensate for the wind throb, determining that the first window has been closed, and closing the second window in response to closing of the first window.

Systems and methods for mitigating wind throb in vehicles are disclosed herein. An example method includes detecting wind throb in a cabin of a vehicle due to opening of a first window of the vehicle, determining when a seat that is adjacent to a second window of the vehicle is unoccupied, opening the second window when the seat is determined to be unoccupied so as to compensate for the wind throb, determining that the first window has been closed, and closing the second window in response to closing of the first window.

A method for carrying out a closing operation of a closing part device of a vehicle driven by an electric motor drive unit is disclosed. The method has the following steps: ascertaining friction force data that represent a current stiffness of the closing device using a machine learning method that has been trained with reference friction force data from past closing operations as input data, wherein the input data are transmitted to a server apparatus that is configured to ascertain the friction force data using the machine learning method, ascertaining target drive power data, taking the friction force data into consideration, for the drive unit, and operating the drive unit based on the ascertained target drive power data to carry out the closing operation in at least one subsequent closing operation.

A method for carrying out a closing operation of a closing part device of a vehicle driven by an electric motor drive unit is disclosed. The method has the following steps: ascertaining friction force data that represent a current stiffness of the closing device using a machine learning method that has been trained with reference friction force data from past closing operations as input data, wherein the input data are transmitted to a server apparatus that is configured to ascertain the friction force data using the machine learning method, ascertaining target drive power data, taking the friction force data into consideration, for the drive unit, and operating the drive unit based on the ascertained target drive power data to carry out the closing operation in at least one subsequent closing operation.

An opening-and-closing body configured to open and close an opening moves across a first section in which the opening-and-closing body moves in the closing direction against its own weight and a second section in which the opening-and-closing body moves in the closing direction according to its own weight. The driver drives the opening-and-closing body in the closing direction continuously from the first section to the second section. The predictor predicts that the drive section of the opening-and-closing body will shift from the first section to the second section when the driver drives the opening-and-closing body in the closing direction toward the second section from the first section. The drive controller decreases the driving output of the driver for driving the opening-and-closing body in the closing direction according to the result of the prediction made by the predictor.

An opening-and-closing body configured to open and close an opening moves across a first section in which the opening-and-closing body moves in the closing direction against its own weight and a second section in which the opening-and-closing body moves in the closing direction according to its own weight. The driver drives the opening-and-closing body in the closing direction continuously from the first section to the second section. The predictor predicts that the drive section of the opening-and-closing body will shift from the first section to the second section when the driver drives the opening-and-closing body in the closing direction toward the second section from the first section. The drive controller decreases the driving output of the driver for driving the opening-and-closing body in the closing direction according to the result of the prediction made by the predictor.

A vehicle control system includes a central ECU configured to generate control signals for devices, and relay devices each disposed in a communication path between the central ECU and a corresponding device among the devices. The relay devices include a specific relay device configured to output a control signal to a specific selective device not related to driving control, braking control, and steering control of a vehicle. The specific relay device includes a sub-control unit capable of controlling the specific selective device, based on an output of at least one sensor. In response to a central control abnormality that is an abnormality related to a control signal from the central ECU, the specific relay device controls, with the sub-control unit, the specific selective device coupled to the specific relay device.

There is no known device which sounds an alarm and rolls down the windows in a car with a child left inside in a designed safety seat, when the temperature inside reaches an unsafe degree.

There is no known device which sounds an alarm and rolls down the windows in a car with a child left inside in a designed safety seat, when the temperature inside reaches an unsafe degree.

Methods and systems are described for generating weather related notices using features of a home automation system. According to at least one embodiment, an apparatus for generating weather related notices with a home automation system includes a processor, a memory in electronic communication with the processor, and instructions stored in the memory. The instructions are executable by the processor to receive weather data about current weather conditions, receive status information about at least one barrier of a property monitored by the home automation system, and generate at least one notice based at least in part on the weather data and the status information.