A product system for an agricultural sprayer includes a product tank configured to store a volume of an agricultural product. A fill station is configured to accept the agricultural product from an off-board source. A flow assembly is fluidly coupled with the fill station and is configured to direct the agricultural product into a product tank from the conduit. A reclaim system is configured to provide the agricultural product within the flow assembly to the product tank. A computing system is communicatively coupled to the reclaim system. The computing system is configured to receive inputs indicative of activation of a fill mode, detect termination of the fill mode, and activate a reclaim mode to move the agricultural product from at least the conduit to the product tank through activation of the reclaim system.

A control system for an electric vehicle configured to simulate an engine stall which might occur in conventional vehicles while preventing the simulation of the engine stall in an unfavorable situation. A controller of the control system is configured to: execute an engine stall control to simulate a behavior of the conventional vehicle in a situation where an engine stall occurs by stopping a motor, when a virtual engine speed calculated by a virtual engine speed calculator falls below a predetermined speed; and execute a hold assist control to apply a brake torque to the wheel by the brake device upon execution of the engine stall control.

A method includes detecting, via a processor of an autonomous vehicle, an upcoming downhill road segment of a route on which the autonomous vehicle is currently travelling. The detection is based on map data, camera data, and/or inertial measurement unit (IMU) data. In response to detecting the upcoming downhill road segment, a descent plan is generated for the autonomous vehicle. The descent plan includes a speed profile and a brake usage plan. The brake usage plan specifies a non-zero amount of retarder usage and an amount of foundation brake usage for a predefined time period. The method also includes autonomously controlling the autonomous vehicle, based on the descent plan, while the autonomous vehicle descends the downhill road segment.

A drive control system for a hybrid vehicle configured to prevent backward coasting on an uphill grade even when an engine torque cannot be delivered to drive wheels. When the hybrid vehicle is propelled by delivering engine torque to rear wheels on an uphill grade, the drive control system determines an occurrence of a failure in which the torque cannot be delivered from the engine to the rear wheels. If the occurrence of the failure is determined, the drive control system executes a hill hold control to deliver torque to establish a required drive force from a motor to front wheels while disengaging an engagement device.

In a method of controlling an electronic parking brake system to overcome an existing problem occurring in drive away release (DAR) mode, a control unit monitors whether or not a gear change signal is input in a vehicle stopped state, a P position state, or a parking brake applied state. When the gear change signal is input, an accelerator pedal input value of a driver is compared with a predetermined pedal input set value while a gear position of a transmission is maintained in the P position. When the accelerator pedal input value does not exceed the predetermined pedal input set value, a control operation is performed for automatic releasing of a parking brake. When a set time has passed after start of the control operation for the automatic releasing, a control operation of changing the gear position to the D position or the R position is performed.

Provided is a control apparatus for a vehicle, the control apparatus being configured to determine a road surface μ state of a road in front of the vehicle based on an image of a front region of the vehicle, and change a magnitude of an amount of reduction in a braking force per unit time in accordance with the determined road surface μ state in braking force cancel control executed after hill-hold control

Various disclosed embodiments include illustrative drive unit controllers, drive units, and vehicles. In an illustrative embodiment, a drive unit controller includes a processor having computer-readable media configured to store computer-executable instructions configured to cause the processor to receive free-wheel tow mode activation information, activate a hold mode based on the received free-wheel tow mode activation information, generate a zero-speed command in response to the hold mode being activated, and send the generated zero-speed command to a stabilizing system of the associated vehicle.

A vehicle restart control apparatus includes a processor configured to generate an override torque according to the environment information of the host vehicle when the vehicle is restarted after stopping; and a storage configured to store data and algorithms driven by the processor.

The disclosure provides a method and an apparatus for vehicle anti-collision control, a computer device, a computer-readable storage medium, and a vehicle, which are applied to the technical field of automobiles. The method includes: receiving information about a rear vehicle status and a relative distance between a vehicle behind and a present vehicle; when the information about the status indicates that there is a vehicle coming from behind and the relative distance between the vehicle behind and the present vehicle is less than a pre-determined distance, calculating an estimated time T for which the present vehicle is to be rear-ended by the vehicle behind; and performing an anti-collision operation for the present vehicle if T<T.sub.threshold, where T.sub.threshold is a pre-determined first anti-collision time threshold.

A method of automatically controlling vehicle auto-hold includes: collecting information on a vehicle traveling condition that applies when a driver operates a brake pedal while a vehicle is traveling; selecting learning data for learning on a pattern of a driver's operation from among pieces of the information collected in the collecting of the information on the vehicle traveling condition and storing the selected learning data; performing the learning on the pattern of the driver's operation based on the learning data and generating a categorization model for the pattern of the driver's operation according to a result of the learning; and determining whether or not to cause the auto-hold switch to enter an automatic operation mode while the vehicle is traveling, using the categorization model, and selectively causing the auto-hold switch to enter the automatic operation mode according to a result of the determining.