An information processing apparatus includes a processor. The processor is configured to estimate whether a fellow passenger is included in occupants of a vehicle, when the fellow passenger is included in the occupants, acquire information relating to a driver of the vehicle and information relating to the fellow passenger, estimate a relationship between the driver and the fellow passenger based on the acquired information, and select a control relating to traveling of the vehicle according to the relationship.

A powered wheelchair is operated by sensor-based control pads that include force transducers to produce a variable output signal that is proportional to a varying force applied. The control pad provides an analog-type output that provides a variable speed signal to a controller to operate the wheelchair at a variable speed in both forward/reverse directions and in right or left turning directions.

A device for controlling a drive energy system of a hybrid or electric vehicle, a hybrid or electric vehicle having the same and a method for controlling a drive energy system of a hybrid or electric vehicle and noise emission control of a drive energy system of the hybrid or electric vehicle are provided.

The disclosure relates to a method for charging a battery of a motor vehicle by an external charging station and to a motor vehicle which is designed to carry out such a method. The method includes the following steps which occur before coupling the motor vehicle to the charging station for charging the battery of the motor vehicle: first, on the basis of charging station data received by a motor vehicle, data which characterizes a current maximum charging capacity of the charging station, it is verified whether a predetermined charging state of the battery of the motor vehicle can be achieved by the charging station within a predetermined time. If the predetermined charging state of the battery cannot be achieved, a warning signal is issued.

There is provided a method of controlling an electric vehicle. The method includes obtaining by a controller of the electric vehicle a first state indicator of a state of the electric vehicle, receiving at the controller a status indicator of an operating status of the electric vehicle, and updating by the controller the state of the electric vehicle based on the status indicator to an updated state. The updated state may be associated with a second state indicator. The method also includes determining by the controller a given braking type of a braking to be applied to the electric vehicle. This determining may be based on one or more of the second state indicator and the status indicator. The method also includes applying to the electric vehicle the braking of the given braking type. Systems for applying such braking are also provided.

There is provided a method of controlling an electric vehicle. The method includes obtaining by a controller of the electric vehicle a first state indicator of a state of the electric vehicle, receiving at the controller a status indicator of an operating status of the electric vehicle, and updating by the controller the state of the electric vehicle based on the status indicator to an updated state. The updated state may be associated with a second state indicator. The method also includes determining by the controller a given braking type of a braking to be applied to the electric vehicle. This determining may be based on one or more of the second state indicator and the status indicator. The method also includes applying to the electric vehicle the braking of the given braking type. Systems for applying such braking are also provided.

A performance learning system and method is provided for a utility vehicle. The performance learning system includes a propulsion system, a plurality of sensors disposed on the vehicle and capable of acquiring operational data associated with the vehicle, a processor, and a memory configured to store historical operational data. The processor can be configured to receive the operational data from the sensors, generate and transmit a command to control the propulsion system based on the operational data and the historical operational data, and update the historical operational data based on the operational data. The operational data may include characteristics associated with one or more of an operator of the vehicle or an operating environment of the vehicle. The systems and methods may optimize the performance of the utility vehicle for particular environments and conditions in which the utility vehicle is being operated and increase operator satisfaction.

An example operation includes one or more of maneuvering, by a Mobile Energy Storage Unit (MESU), to a transport that is stationary for an amount of time, that is not currently being charged, that is at a distance between the transport and the MESU and that is within a timeframe for the MESU to reach the transport, and retrieving, by MESU, a minimum amount of energy from the transport.

A system and method for ranking or scoring charging stations and/or charging events or sessions, and/or performing actions based on the ranking or scoring is described. In some embodiments, a charging station ranking engine is configured to rank charging stations, or potential charging events, based on feedback received from users of the charging stations, such as drivers of electric vehicles, or other dynamically determined factors.

An information processing apparatus includes a processor. The processor is configured to estimate whether a fellow passenger is included in occupants of a vehicle, when the fellow passenger is included in the occupants, acquire information relating to a driver of the vehicle and information relating to the fellow passenger, estimate a relationship between the driver and the fellow passenger based on the acquired information, and select a control relating to traveling of the vehicle according to the relationship.