In some implementations, a controller may determine whether a machine is operating in an autonomous mode or a manual mode. The controller may cause, based on a determination that the machine has been in an idle state for a first timer period, shutdown of an engine of the machine. The controller may monitor, based on a determination that the machine is operating in the autonomous mode, whether a condition for starting the engine is satisfied. The controller may cause, based on a determination that the engine has been shut down for a second timer period and that the condition is not satisfied, the machine to transition to a low power mode. The controller may cause, when the condition is satisfied, starting of the engine.

There is provided an electric vehicle, wherein the electric vehicle comprises a powertrain, the powertrain comprising: a plurality of energy sources, wherein the plurality of energy sources comprises a fuel cell sub-system; an energy storage means; and a control system for a vehicle, the control system being configured to actively monitor, control and optimise power supply between the plurality of energy sources and power demand and distribution between propulsion power and ancillary power within the vehicle. More specifically a controller and related control system for the energy balancing of the vehicle taking into consideration such factors as fuel usage, power management between the various power generating and storage sub-systems, regenerative braking, terrain topology, weather and other environmental conditions, operation of vehicle peripherals and parasitic power demands in addition to cargo management and environmental needs and driver comfort and safety, as well as vehicle fleet management.

There is provided a fleet management system for ensuring the optimum efficiency and the most cost-effective operation of one or more zero-emission vehicles, wherein each of the one or more zero-emission vehicles comprises a control system configured to monitor, collate and control each vehicle's operational data in order to actively monitor, control and optimise the management of the powertrain of the vehicle; the fleet management system comprising: a communications system, the communications system configured to send and receive vehicle operational data to and from a vehicle; a fleet operations controller configured to provide one or more of the following operations to a fleet controller in use: provide an increase in efficiency of the vehicle powertrain; provide an increase in durability of the vehicle powertrain; and provide a decrease in the overall cost of operation of the vehicle. More specifically a controller and related control system for the energy balancing of the vehicle taking into consideration such factors as fuel usage, power management between the various power generating and storage sub-systems, regenerative braking, terrain topology, weather and other environmental conditions, operation of vehicle peripherals and parasitic power demands in addition to cargo management and environmental needs and driver comfort and safety, as well as vehicle fleet management.

There is provided a control system for a vehicle comprising a powertrain comprising a plurality of energy sources, the plurality of energy sources comprising a battery, the control system being configured to actively monitor, control and optimise power recapture from regenerative-braking in the vehicle. More specifically a controller and related control system for the energy balancing of the vehicle taking into consideration such factors as fuel usage, power management between the various power generating and storage sub-systems, regenerative braking, terrain topology, weather and other environmental conditions, operation of vehicle peripherals and parasitic power demands in addition to cargo management and environmental needs and driver comfort and safety, as well as vehicle fleet management.

A method of controlling a driving assistant apparatus is provided, the method including: a detection step of detecting driving information of a surrounding vehicle and driving information of a host vehicle; a scenario deciding step of determining a driving state of the host vehicle using the driving information of the surrounding vehicle and the driving information of the host vehicle, and determining the driving state of the host vehicle is decided as a preset scenario of preset scenarios; a control method deciding step of setting a target acceleration of the host vehicle in response to determination that the driving state of the host vehicle is decided as the preset scenario, and determining a control method for driving control and braking control of the host vehicle following the target acceleration; and a control step of controlling the host vehicle based on the determined control method.

The disclosure relates to a method for providing information on the reliability of a parametric estimation of a parameter for the operation of a vehicle, comprising at least the following steps: a) identifying an integrity range for the parametric estimation, the integrity range describing the range in which an estimated parameter is located with a minimum probability, b) identifying a validity indicator which describes the validity of the integrity range identified in step a), c) providing the integrity range identified in step a) and the validity indicator identified in step b).

A vehicle braking control method is provided. When a driver intends to drive a vehicle after the delivery of the vehicle or a factory mechanic intends to test the vehicle before the delivery of the vehicle after the engine is turned on even when a warning light is turned on due to the insufficiency of the brake fluid, a warning signal indicating that a level sensor is malfunctioning is generated using an instrument cluster, or driving torque of the engine is limited while a warning phrase indicating the insufficiency of the brake fluid is displayed using the cluster. Therefore, the vehicle may travel at a minimum speed. Thus, the driver is enabled to drive the vehicle to a safe place. Accordingly, a secondary accident is prevented and a subsequent maintenance operation is easily performed.

A method of calibrating a driving force of a vehicle is provided. A status change of one or more components of the vehicle may be detected by a sensor. One or more models of the one or more components of the vehicle having the status change may be determined by the processing circuitry. The driving force based on the determined one or more models may be calculated by the processing circuitry. The driving force of the vehicle to reach a threshold value may be calibrated.

A control system of a self-driving tractor can access sensor data to determine a set of trailer configuration parameters of a cargo trailer coupled to the self-driving tractor. Based on the set of trailer configuration parameters, the control system can configure a motion planning model for autonomously controlling the acceleration, braking, and steering systems of the tractor.

Systems and methods for iced road conditions and remediation are disclosed herein. A method can include determining an ambient temperature around a vehicle or a road relative to a temperature threshold, determining lateral acceleration of the vehicle due to steering input, determining a slippery condition based on the ambient temperature being below the temperature threshold and the expected lateral acceleration exceeding the measured lateral acceleration by more than a threshold, and selectively adjusting a vehicle operating parameter when the slippery condition is present.