Robert Boschgmbh

Whirlpool Corporation

Robert Bosch Gbmh

Hirak Chanda

Jon D Strait

James Andrew Oskins

Ankit R Shah

Karl David McAllister

Kaustav Ghosh

Andrew Leitert

Anthony J Farrell

Yingqin Yuan

Troy Austin McCormick

Amy L Rapson

Michael L Jackemeyer

Christoph J Miller

Kenta Mineo

Shuvo Bhattacharjee

Michael L Jackmeyer

Andre Petronilho

Robert A Scheitlin

Matthew S Wasson

Christer Jansson

Ali Fawaz

Kenneth Brochu

Marcin Kowalewski

Troy Mccormick

System and method for determining vehicle speed of a wheel. The system including an electronic stability controller, an occupancy restraint controller, and an actuation controller coupled to a communication bus. The electronic stability controller including a wheel speed sensor to determine a first vehicle speed. The occupancy restraint controller including a vertical acceleration sensor to sense a vertical acceleration of the vehicle and a longitudinal acceleration sensor to sense a longitudinal acceleration of the vehicle. The actuation controller configured to determine a second vehicle speed using the vertical acceleration and the longitudinal acceleration of the vehicle. validate the second vehicle speed when the difference between the first vehicle speed and the second vehicle speed is less than a threshold, and use the first vehicle speed when the difference between the first vehicle and the second vehicle speed is greater than a threshold.

Method and system for determining vehicle speed using vertical and longitudinal acceleration sensors

Methods and systems for monitoring a switch included in a vehicle. One method includes a method of monitoring a switch included in a vehicle. The method includes obtaining a current vehicle speed, and dynamically, by a controller, generating a duration for detecting a stuck state of the switch based on at least the current vehicle speed, detecting, by the controller, a duration of a high signal received from the switch. The method also includes comparing, by the controller, the duration of the high signal to the generated duration, and detecting, by the controller a stuck state of the switch when the duration of the high signal satisfies the generated duration.

Dynamic stuck switch monitoring

Disclosed is a method of operating a laundry treating appliance having a treating chamber that receives a laundry load for treatment according to a cycle of operation. The method includes determining the size of the laundry load in the treating chamber; supplying a predetermined amount of liquid to the treating chamber based on the determined load size; applying mechanical energy to the laundry treating chamber by driving a clothes mover with an electric motor; determining a difference between an in-rush current to the electric motor and a steady-state current of the electric motor during the applying of the mechanical energy; and determining a laundry load type of the laundry load based on the determined difference.

Method to determine fabric type in a laundry treating appliance using motor current signature during agitation

A system and method for avoiding collisions in a traffic intersection using radar sensors is disclosed. The system detects the location, speed, size, and direction of travel of objects, including vehicles and vulnerable road users, in and approaching a traffic intersection. Using this information, trajectories for all objects are determined, and, if a likelihood of a collision is determined, one or more traffic signal transitions are delayed in an attempt to avoid the collision.

Collision avoidance in traffic crossings using radar sensors

A global positioning signal based learned control event prediction method and apparatus includes a learning auxiliary module connected to a communication bus of a vehicle. The arrangement stores events and event locations using global positioning signals for a vehicle traveling along a path. When the vehicle travels the same path a second time, the detected events and event locations are determined. When the events match at the same event locations, a predictive action is determined for a future occurrence of the vehicle approaching the event location. Thus, as the vehicle approaches the event location, the predictive action, for example pre-filling of the vehicle brakes or pre-tensioning of the seat belts occurs.

GPS based learned control event prediction

A method of determining a fabric type for a laundry load can include comparing the density of the laundry load in a first wetted state, which may be a dry state or a partially saturated state, to the density of the laundry load in a second wetted state, which may be a partially saturated, fully saturated, or beyond fully saturated state, and determining a fabric type based on the comparison.

Method of determining fabric type of a laundry load in a laundry treating appliance

A banked curve detection system determines the presence of a vehicle on a banked curve by sensing a vertical acceleration and a lateral acceleration of a vehicle. A banked curve is determined when the vertical acceleration and lateral acceleration are each greater than previously sensed vertical and lateral accelerations, the lateral acceleration is less than an expected reference lateral acceleration value, and the vertical acceleration is greater than gravity. The reference lateral acceleration value is based on yaw rate, steering angle, and wheel speed. When the acceleration conditions are met, the electronic stability control adjusts the parameters due to the vehicle being driven on a banked curve. Once the acceleration condition is no longer valid, the electronic stability control returns to normal operation.

Banked curve detection using vertical and lateral acceleration

A laundry treating appliance having a pump, such as a drain pump, with an automatic shutoff, and a method for controlling the shut off of the pump.

Laundry treating appliance with automatic pump shutoff

An electronic stability control indication system including a bar-graph-type display, a processor, and a memory. The memory stores instructions that, when executed by the processor, control the operation of the electronic stability control indication system. The system receives a first signal from a yaw rate sensor indicative of an actual yaw rate of the vehicle. The system then determines a target yaw rate and a threshold difference for the vehicle. If the difference between the actual yaw rate and the target yaw rate exceeds the difference threshold, an electronic stability control system is activated. The system also provides a visual representation of the difference between the actual yaw rate and the target yaw ratio relative to the threshold difference on the bar-graph-type display.

Electronic stability control system indicator

A method and apparatus determines a load size of a laundry load located in a laundry treating appliance having a drum defining a treatment chamber that is rotated by a motor based on a given amount of energy applied to the motor, and a measurement of coast time after the given amount of energy is removed.

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Troy, MI, United States of America

Hirak Chanda