Abstract:
A method of operating a park lock mechanism in a vehicle includes determining a force acting on a vehicle park lock mechanism when the vehicle is in park, and providing an offsetting force to counteract the force on the park lock mechanism before the vehicle is shifted out of park. In doing so, harshness and noise that may be associated with shifting a vehicle out of park, especially when the vehicle is parked on an incline, can be reduced or eliminated.
Abstract:
A powertrain control system for a plugin hybrid electric vehicle. The system comprises an adaptive charge sustaining controller; at least one internal data source connected to the adaptive charge sustaining controller; and a memory connected to the adaptive charge sustaining controller for storing data generated by the at least one internal data source. The adaptive charge sustaining controller is operable to select an operating mode of the vehicle's powertrain along a given route based on programming generated from data stored in the memory associated with that route. Further described is a method of adaptively controlling operation of a plugin hybrid electric vehicle powertrain comprising identifying a route being traveled, activating stored adaptive charge sustaining mode programming for the identified route and controlling operation of the powertrain along the identified route by selecting from a plurality of operational modes based on the stored adaptive charge sustaining mode programming.
Abstract:
The technology described herein provides a powertrain system with a route-learning feature. Particularly, learned information is used to optimize powertrain operation along any learned route. The learned information comprises, generally, feedback from the vehicle's acceleration and brake sensors and information from an on-board trip computer. At the least, the powertrain is able to optimize its operation to a driver's preference based on the feedback recorded along a particular route that the driver has specified. The route-learning powertrain control described herein is particularly useful with a hybrid powertrain, and can be used to optimize start/stop and regenerative braking control. The system described herein can also be integrated with a navigation system and GPS receiver, to provide more accurate route-learning and/or automated operation.
Abstract:
A hybrid assembly having a single input and a single output. The hybrid assembly is compactly packaged and achieves a wide range of gear ratios. The hybrid assembly may be used in a vehicle power train with or without an additional transmission.
Abstract:
A system and method for monitoring a vehicle pedal are disclosed. According to the present disclosure, the method comprises determining whether a stimulus has been detected at the vehicle pedal. When the stimulus has been detected, the method comprises receiving sensor data from a sensor system, the sensor data being indicative of a shape of the stimulus, and determining whether the shape of the stimulus corresponds to an unintended object based on the sensor data. When the shape of the stimulus corresponds to an unintended stimulus, the method comprises performing an unintended stimulus operation.
Abstract:
A powertrain control system for a plugin hybrid electric vehicle. The system comprises an adaptive charge sustaining controller; at least one internal data source connected to the adaptive charge sustaining controller; and a memory connected to the adaptive charge sustaining controller for storing data generated by the at least one internal data source. The adaptive charge sustaining controller is operable to select an operating mode of the vehicle's powertrain along a given route based on programming generated from data stored in the memory associated with that route. Further described is a method of adaptively controlling operation of a plugin hybrid electric vehicle powertrain comprising identifying a route being traveled, activating stored adaptive charge sustaining mode programming for the identified route and controlling operation of the powertrain along the identified route by selecting from a plurality of operational modes based on the stored adaptive charge sustaining mode programming.
Abstract:
The technology described herein provides a powertrain system with a route-learning feature. Particularly, learned information is used to optimize powertrain operation along any learned route. The learned information comprises, generally, feedback from the vehicle's acceleration and brake sensors and information from an on-board trip computer. At the least, the powertrain is able to optimize its operation to a driver's preference based on the feedback recorded along a particular route that the driver has specified. The route-learning powertrain control described herein is particularly useful with a hybrid powertrain, and can be used to optimize start/stop and regenerative braking control. The system described herein can also be integrated with a navigation system and GPS receiver, to provide more accurate route-learning and/or automated operation.
Abstract:
A control system and diagnostic method for a hybrid vehicle having a hybrid powertrain each utilize a controller comprising (i) a hybrid control processor (HCP) and (ii) a motor control processor (MCP), a monitoring circuit that is distinct from the controller and is configured to monitor operation of the HCP and the MCP, and a gate drive circuit that is distinct from the controller and the monitoring circuit and is configured to enable/disable torque output by the hybrid powertrain based on first, second, and third independent shutoff signals. A diagnostic method performs a shutoff line integrity verification routine by performing six steps corresponding to different combinations of shutoff signals in a predetermined test sequence. These shutoff signals are provided to three independent shutoff lines, which are connected between (i) the gate drive circuit and (ii) the HCP, the MCP, and the monitoring circuit, respectively.
Abstract:
A control system for an electrified vehicle having low and high voltage battery systems includes a set of vehicle modules that collectively draw an ignition-off draw (IOD) current from the low voltage battery system while the vehicle is off, a set of sensors configured to measure a set of parameters of at least one of the low and high voltage battery systems, and a controller configured to: estimate the IOD current, receive the set of measured parameters from the set of sensors, based on the set of measured parameters and the estimated IOD current, set a wakeup time indicative of a future time at which the low voltage battery system will require recharging, and based on the wakeup time, temporarily wakeup the vehicle such that recharging of the low voltage battery system using the high voltage battery system is enabled.
Abstract:
A control system and diagnostic method for a hybrid vehicle having a hybrid powertrain each utilize a controller comprising (i) a hybrid control processor (HCP) and (ii) a motor control processor (MCP), a monitoring circuit that is distinct from the controller and is configured to monitor operation of the HCP and the MCP, and a gate drive circuit that is distinct from the controller and the monitoring circuit and is configured to enable/disable torque output by the hybrid powertrain based on first, second, and third independent shutoff signals. A diagnostic method performs a shutoff line integrity verification routine by performing six steps corresponding to different combinations of shutoff signals in a predetermined test sequence. These shutoff signals are provided to three independent shutoff lines, which are connected between (i) the gate drive circuit and (ii) the HCP, the MCP, and the monitoring circuit, respectively.