An acceleration slip regulation method includes determining a current control phase of a vehicle in an acceleration slip regulation state, determining a current road surface adhesion coefficient of the vehicle, determining, based on the current control phase and the current road surface adhesion coefficient, maximum torque allowed by a road surface, obtaining demand torque received by a drive motor of the vehicle and a wheel slip rate of the vehicle, and outputting adaptive feedforward torque for acceleration slip regulation based on the maximum torque allowed by the road surface, the demand torque, and the wheel slip rate, where the adaptive feedforward torque is used to perform the acceleration slip regulation on the vehicle.

Operating a machine includes supplying electric power from a fuel cell to a power bus connected to an electric motor and an energy storage device in a machine operated at a work site, and determining an expected efficiency gain condition based on at least one of terrain data of the work site or machine activity data of the machine. Operating a machine further includes prognostically limiting a power output of the fuel cell based on the determining an expected efficiency gain condition, and charging the energy storage device during occurrence of the expected efficiency gain condition using at least one of a regenerative energy device or the fuel cell. The energy storage device may be discharged during prognostically limiting a power output of the fuel cell so as to share a load demand of the power bus between the fuel cell and the energy storage device. Related apparatus and control logic is also disclosed.

An operating system for a vehicle having an electric vehicle (EV) drivetrain and a plurality of electrically-powered accessories is described. A controller determines, via a navigation system, a target off-road trail segment, and characterizes the subject vehicle, ambient conditions, and the target off-road trail segment to determine an estimated consumption of electric energy for the vehicle to operate over the target off-road trail segment. The EV drivetrain and the electrically-powered accessories are controlled during operation of the vehicle on the off-road trail segment based upon the estimated consumption of electric energy for the subject vehicle. This is done to minimize a likelihood of a low SOC event for the DC power source for the trail segment and to avoid a low battery state at a location that is distal from a charging station.

A regenerative torque control unit is configured to reduce a regenerative torque and increase a rising gradient of the regenerative torque at a start of regeneration when a road surface friction coefficient acquired by a road surface friction coefficient acquisition unit is low as compared to when the road surface friction coefficient is high. Thus, it is possible to suppress occurrence of a slip on a low μ road, and it is less likely to provide a feeling of strangeness from a change between a low μ road and a high μ road.

A hybrid power train structure for off-road vehicles (ATVs, UTVs and SSVs) uses an internal combustion engine (“ICE”) rotating a crankshaft through a continuously variable transmission (“CVT”) as a primary source of locomotion torque, but also includes a driving/generator motor which, in certain established conditions, can either provide an additional or alternative source of locomotion torque or can harvest electricity from the torque created by the internal combustion engine. The driving/generator motor is an axial flux motor of small size for its relative torque output, which can either be directly coupled to the CVT output shaft or, when additionally used as a starter motor for the ICE in an automatic ICE starting and stopping routine.

A vehicle control system that allows a vehicle to travel easily and smoothly on a slippery road, a bumpy road, and a narrow road. A controller of the vehicle control system comprises: a running condition determiner that determines whether the vehicle travels under the particular condition; a control mode selector that selects one of vehicle speed control modes; and a driving force controller that controls a driving force such that an actual vehicle speed is adjusted to a target vehicle sped based on the selected vehicle speed control mode.

Aspects of the present invention relate to a control system 208 and method for controlling energy management of a traction battery 200 of a hybrid electric vehicle 10, the traction battery 200 configured to power at least one traction motor 212 coupled to an electric-only axle 213 of the vehicle 10 to provide all-wheel drive, the control system 208 comprising one or more electronic controllers 300, the one or more electronic controllers 300 configured to: determine a change of terrain mode and/or type for the vehicle and/or determine an increase in loading of the vehicle 10; select an energy management control strategy for the traction battery 200 of the vehicle 10 in dependence on the determined change in terrain mode and/or type and/or the determined increase in loading of the vehicle 10, wherein the traction battery 200 is configured to supply power to the at least one traction motor 212 to provide torque to the electric-only axle 213 of the vehicle 10 to enable the vehicle 10 to operate in an all-wheel drive mode, wherein selecting an energy management control strategy of the vehicle 10 comprises at least one of: selecting or adjusting a charge sustain set point 30 for the traction battery 200; and changing energy generation to recharge the traction battery 200.

Techniques for estimating a vehicle state of charge (“SoC”) are disclosed. A computing device may determine a first instance of connectivity between the computing device and an electric vehicle and determine a first location of the computing device associated with the first instance of connectivity. The computing device may detect completion of a first trip of the electric vehicle, wherein the first trip reflects movement of the electric vehicle from the first location to a second location, and determine a first distance traveled by the electric vehicle during the first trip based on the first location and the second location. The computing device may select the electric vehicle for charging using the determined first instance of connectivity between the computing device and the electric vehicle, estimate a SoC of the selected electric vehicle using the determined first distance, and transmit the estimated SoC to a charging station.

The invention relates to a control system for controlling a torque generator of a vehicle. The control system is configured to receive one or more electrical signals indicative of a surface indicator; receive one or more electrical signals indicative of a deceleration demand; select a surface type from a plurality of predetermined surface types based on said one or more electrical signals indicative of a surface indicator; determine a target vehicle deceleration in dependence on the selected surface type; determine, based on said one or more electrical signals indicative of a deceleration demand, a requirement to decelerate the vehicle; and in dependence on determining said requirement, output a control signal to the torque generator. The control signal is configured to cause the torque generator to provide the target vehicle deceleration.

Described herein are devices, systems, and methods for managing the power consumption of an automotive vehicle, and thereby for optimizing the power consumption of the vehicle. The devices and systems for managing the power consumption of the vehicle typically include power management logic that can calculate an applied power for the vehicle engine based on information provided from the external environment of the vehicle, the operational status of the vehicle, one or more command inputs from a driver, and one or more operational parameters of the vehicle.