Abstract:
A vehicle includes a vehicle body, a road wheel, and a suspension corner connecting the road wheel to the vehicle body. The suspension corner includes a suspension arm connected to the road wheel and to the vehicle body, and also includes a suspension force decoupling system disposed on an axis extending between the suspension arm and the vehicle body. The suspension force decoupling system includes an actuator having an actuator mass arranged on the axis that is configured to output an actuator force in opposite directions along the axis in response to an actuator control signal. The system also includes a compliant element connected along the axis to the actuator mass and one of the body and the suspension arm, and providing a predetermined level of mechanical compliance. A controller determines and generates the actuator force in response to a threshold acceleration of the vehicle body.
Abstract:
A suspension assembly between a sprung element and an unsprung element includes a load-carrying spring element arranged in parallel with a negative stiffness element between the sprung element and the unsprung element. The negative stiffness element includes first and second opposed mutually-repelling elements.
Abstract:
A system for adaptive in-drive updating, for a vehicle travelling on a route, includes a controller having a processor and tangible, non-transitory memory. The vehicle is carrying a load. The controller is adapted to obtain one or more dynamic parameters pertaining to the load. A plurality of adaptive predictors is selectively executable by the controller at a timepoint during the route at which a completed portion of the route has been traversed by the vehicle and a remaining portion remains untraversed. The plurality of adaptive predictors includes a speed predictor configured to generate a global speed profile. The plurality of adaptive predictors includes a driving consumption predictor is configured to predict a driving consumption profile for the remaining portion of the route based in part on the dynamic parameter, the route features, the global speed profile, and a past drive consumption.
Abstract:
A method that includes obtaining demand data, consumer data, and historical demand data, the demand data represents a demand of consumers for a supply over a past time period in a geographic zone. The demand data includes a recent time segment having unreliable demand information. The consumer data. The method further includes, based on the demand data, estimating a scalar of the demand, and, based on the historical demand data, modeling a standardized model demand profile of mean demand over multiple past time periods. Further, the method includes producing a short-term demand prediction of the consumers of the supply over a portion of a forthcoming time period. The short-term demand prediction is based, at least in part, on the standardized model demand profile, the demand data, and the consumer data.
Abstract:
A vehicle parameter estimation module is configured to generate a first estimate of a vehicle parameter based on operating conditions of a vehicle measured or estimated at a first time. The vehicle parameter includes at least one of a tire cornering stiffness of the vehicle and an understeer coefficient of the vehicle. The vehicle parameter estimation module is also configured to determine an error value based on the first estimate of the vehicle parameter and values of the vehicle operating conditions measured or estimated at a second time that is later than the first time. The vehicle parameter estimation module is further configured to generate a second estimate of the vehicle parameter based on the first estimate of the vehicle parameter and the error value. A vehicle actuator control module is configured to control an actuator of the vehicle based on the second estimate of the vehicle parameter.
Abstract:
A host vehicle for use with a remote processing station (RPS) configured to generate a pollution report from a global set of pollution data includes a vehicle body, a vehicle telematics unit (VTU), a sensor suite, and an electronic control unit (ECU). The sensor suite includes acoustic and/or an air quality sensors respectively configured for collecting pollution data samples. The pollution data samples include ambient noise and/or air quality levels as part of the global set of pollution data. The ECU selectively transmits the pollution data sample(s) to the RPS in response to predetermined conditions, via the, receives the pollution report descriptive of noise and/or air quality levels at a current location or destination of the host vehicle, and executes a control action of the host vehicle or another receiving device in response to the pollution report.
Abstract:
A system includes a vehicle parameter estimation module and a vehicle actuator control module. The vehicle parameter estimation module is configured to generate a first estimate of a vehicle parameter based on operating conditions of a vehicle measured or estimated at a first time. The vehicle parameter includes at least one of a tire cornering stiffness of the vehicle and an understeer coefficient of the vehicle. The vehicle parameter estimation module is also configured to determine an error value based on the first estimate of the vehicle parameter and values of the vehicle operating conditions measured or estimated at a second time that is later than the first time. The vehicle parameter estimation module is further configured to generate a second estimate of the vehicle parameter based on the first estimate of the vehicle parameter and the error value. The vehicle actuator control module is configured to control an actuator of the vehicle based on the second estimate of the vehicle parameter.
Abstract:
In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for adaptive control of electronic power steering (EPS) including sending, a torque control to an EPS that is based on input control signals from a vehicle trajectory control unit and a steering assistive control unit when the vehicle is coupled to a trailer engaging in a trailering action; configuring the steering assistive control unit, to generate a control signal based on an algorithm using an adaptive factor that models steering dynamics impacted by the trailer while engaging in the trailering action and modeling by the steering assistive control unit, an adaptive damping factor modeled on a tongue weight of a trailer coupled to a hitch of the vehicle wherein the hitch reduces a force applied to a vehicle front axle.
Abstract:
An apparatus for controlling force of a magnetic lead screw actuator includes a magnetic lead screw actuator, an external control module and at least one sensor device integrated within the magnetic lead screw actuator. The magnetic lead screw actuator includes an electric machine, a rotor, and a translator. The rotor includes a rotor magnet assembly forming first helical magnetic threads along the rotor and the translator includes a translator magnet assembly forming second helical magnetic threads along the translator. Rotation of the rotor by the electric machine effects linear translation of the translator by interaction of the first and second helical magnetic threads. The external control module is electrically operatively coupled to an electric machine controller of the magnetic lead screw actuator. The at least one sensor device integrated within the magnetic lead screw actuator is configured to measure a parameter indicative of a relative displacement between the rotor and the translator and this parameter is provided as feedback to the electric machine controller.
Abstract:
A system and method for a vehicle control adaptation to a crosswind and a wind gust including a controller situated within a vehicle to receive wind data inputs. The wind data inputs are based on a location of the vehicle and include a sustained wind velocity, a sustained wind direction, and a wind gust level. The controller further receives vehicle measurement data from one or more sensors situated within the vehicle and determines a wind impact on the vehicle based on the wind data inputs and the vehicle measurement data. The controller further compensates for the wind impact by a feedforward control in response to a low bandwidth component of the wind data inputs and by a feedback control in response to a high bandwidth component of the wind data inputs. The controller generates a feedback and/or a control based on the wind impact.