Patent classifications
F16D2500/70647
Power takeoff control
A power takeoff control system and method sense proximity of an operator to a power takeoff and control operation of the power takeoff based upon the sensed proximity.
POWER TAKEOFF CONTROL
A power takeoff control system and method sense proximity of an operator to a power takeoff and control operation of the power takeoff based upon the sensed proximity.
Vehicle lock-up clutch control device
Provided is a lock-up clutch control device of a vehicle in which a torque converter with a lock-up clutch is disposed between an engine and a transmission. This control device has a coasting capacity learning control section configured to decrease a LU differential pressure command value for the lock-up clutch during accelerator release operation and, when a slip of the lock-up clutch is detected during decrease of the LU differential pressure command value, update the LU differential pressure command value at the time of detection of the slip as a LU differential pressure learning value balanced with a coasting torque. The coasting capacity learning control section is further configured to, when operation of the PTC heater intervenes during coasting capacity learning control, correct the LU differential pressure command value by adding thereto a LU differential pressure correction value that corresponds to an increase of input torque to the lock-up clutch.
Real-time machine learning and physics-based hybrid approach to perform eLSD torque estimation
A method for determining, in real-time, an electronic limited-slip differential (eLSD) clutch torque includes receiving vehicle data in real-time, wherein the vehicle data includes a torque request, determining a preliminary eLSD clutch torque using a neural network and the vehicle data, determining clutch torque bounds of the eLSD using a physics-based model, determining whether the preliminary eLSD clutch torque is outside the clutch torque bounds of the eLSD, adjusting the preliminary eLSD clutch torque using clutch torque bounds to determine a final clutch torque of the eLSD in response to determining that the preliminary eLSD clutch torque is outside the clutch torque bounds of the eLSD, and commanding, in real-time, the eLSD to apply the final clutch torque to a clutch of the eLSD.
VEHICLE LOCK-UP CLUTCH CONTROL DEVICE
Provided is a lock-up clutch control device of a vehicle in which a torque converter with a lock-up clutch is disposed between an engine and a transmission. This control device has a coasting capacity learning control section configured to decrease a LU differential pressure command value for the lock-up clutch during accelerator release operation and, when a slip of the lock-up clutch is detected during decrease of the LU differential pressure command value, update the LU differential pressure command value at the time of detection of the slip as a LU differential pressure learning value balanced with a coasting torque. The coasting capacity learning control section is further configured to, when operation of the PTC heater intervenes during coasting capacity learning control, correct the LU differential pressure command value by adding thereto a LU differential pressure correction value that corresponds to an increase of input torque to the lock-up clutch.
DETERMINING A CLUTCH TEMPERATURE OF A VEHICLE CLUTCH BY MEANS OF A NEURAL NETWORK
Disclosed is a method for determining a vehicle clutch temperature of a vehicle clutch by a neuron network. The method includes determining at least one input value representing a power supplied to the vehicle clutch, such that the at least one input value is determined on the basis of processing consecutive values of power supplied to the vehicle clutch. At least one input value and at least one value of an operating parameter are input as input data into the neuron network. A clutch temperature is determined by the neuron network on the basis of the input data and of a relationship learned by the neuron network between a time variation of the input data and the clutch temperature. A method is also disclosed for generating a training data set for a neuron network, and a control unit for determining a vehicle clutch temperature using a neuron network.