Abstract: A system for remote control of an occupied vehicle includes one or more external vehicle environmental sensors. The system further includes a suspect event identification module including instructions stored in at least one memory and executable by one or more processors to cause the passenger identification module to determine the occurrence of a suspect event at the occupied vehicle based, at least in part, on data indicative of an audio environment of a surrounding of the occupied vehicle. The system also includes a communication module including instructions stored in at least one memory and executable by one or more processors to cause the communication module to communicate an initial signal to a remote device of an operator of the occupied vehicle outside of the occupied vehicle in response to the determination of the suspect event.

Abstract: A system for assisting a distracted vehicle occupant. The system includes a first occupant sensor configured to capture data indicative of an emotional state of an occupant of a vehicle. The system also includes a distraction determination module configured to recognize that the occupant is in a high emotional state based on the captured data indicative of the emotional state of the occupant. The distraction determination module is also configured to determine one or more corrective actions configured to calm the occupant from the high emotional state to a normal emotional state in response to the recognized high emotional state of the occupant. The distraction determination module is further configured to implement or cause to be implemented the corrective action(s).

Abstract: The disclosure relates to a method for operating a hybrid electric vehicle. According to the method, a route information is received in the form of a plurality of parameter sets, each parameter set relating to a segment of a route (S1). Subsequently, a power demand is estimated for each segment (S3) and a portion of an amount of energy being stored in the electric storage device is allocated to at least one of the segments. Alternatively or additionally, an amount of energy to be transferred into the electric storage device is allocated to at least one of the segments (S4). Additionally, at least one reference trajectory describing a state-of-energy of the electric storage device over the route resulting from the energy allocation is derived (S5). The operation of the hybrid electric vehicle is controlled as a function of a slope between a current state-of-energy and an upcoming control point on the reference trajectory (S7).

Abstract: According to an embodiment, it is a system comprising a detection module; an estimation module; and a processor; wherein the processor is operable to receive a starting location, a destination, and a stopover location; detect, via the detection module, a change in configuration of a vehicle at one or more of the starting location and a stopover location; estimate, via the estimation module, a new range of the vehicle based on the change in the configuration of the vehicle; and recommend, via a recommendation module, an adjustment to extend the new range.

Abstract: According to an embodiment, it is a system comprising a detection module, an estimation module, and a processor, and wherein the processor is operable to detect, via the detection module, a change in configuration of a vehicle; and estimate, via the estimation module, a new range of the vehicle based on the change in the configuration of the vehicle, wherein the change in configuration comprises adding an item to the vehicle.

Abstract: According to an embodiment, it is a system comprising a detection module; an estimation module; and a processor; wherein the processor is operable to receive a starting location, a destination, and a stopover location; detect, via the detection module, a planned change in configuration of a vehicle at one or more of the starting location and the stopover location; and estimate, via the estimation module, a new range of the vehicle based on the planned change in configuration of the vehicle; and wherein the system is operable for adaptive smart range estimation.

Abstract: Techniques regarding parameterizing energy consumption of an electric vehicle are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a vehicle state estimation component that determines an operating condition experienced by a vehicle while traveling a route. Further, the system can comprise an energy consumption component that parametrizes an amount of energy expended by the vehicle while traveling the route based on a loss table that is populated with an energy consumption value derived from historic operation of the vehicle at the operating condition.

Abstract: The disclosure relates to a method for operating a hybrid electric vehicle. According to the method, a route information is received in the form of a plurality of parameter sets, each parameter set relating to a segment of a route (S1). Subsequently, a power demand is estimated for each segment (S3) and a portion of an amount of energy being stored in the electric storage device is allocated to at least one of the segments. Alternatively or additionally, an amount of energy to be transferred into the electric storage device is allocated to at least one of the segments (S4). Additionally, at least one reference trajectory describing a state-of-energy of the electric storage device over the route resulting from the energy allocation is derived (S5). The operation of the hybrid electric vehicle is controlled as a function of a slope between a current state-of-energy and an upcoming control point on the reference trajectory (S7).

Abstract: Techniques regarding parameterizing energy consumption of an electric vehicle are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a vehicle state estimation component that determines an operating condition experienced by a vehicle while traveling a route. Further, the system can comprise an energy consumption component that parametrizes an amount of energy expended by the vehicle while traveling the route based on a loss table that is populated with an energy consumption value derived from historic operation of the vehicle at the operating condition.

Abstract: The present disclosure relates to an energy management system for an energy storage system of a vehicle, a vehicle comprising such an energy management system, an energy management method for an energy storage system of a vehicle and a computer program element for an energy management system of a vehicle. The energy management system comprises a propulsion sensor unit, a heat sensor unit, an energy storage sensor unit, a navigation unit and a control unit. The propulsion sensor unit is configured to monitor at least one propulsion parameter of the vehicle. The heat sensor unit is configured to monitor at least one thermal parameter of the vehicle. The energy storage sensor unit is configured to monitor at least one state parameter of the energy storage system, wherein the state parameter comprises at least a current capacity of the energy storage system.

Abstract: Techniques regarding parameterizing energy consumption of an electric vehicle are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a vehicle state estimation component that determines an operating condition experienced by a vehicle while traveling a route. Further, the system can comprise an energy consumption component that parametrizes an amount of energy expended by the vehicle while traveling the route based on a loss table that is populated with an energy consumption value derived from historic operation of the vehicle at the operating condition.

Abstract: Techniques regarding parameterizing energy consumption of an electric vehicle are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a vehicle state estimation component that determines an operating condition experienced by a vehicle while traveling a route. Further, the system can comprise an energy consumption component that parametrizes an amount of energy expended by the vehicle while traveling the route based on a loss table that is populated with an energy consumption value derived from historic operation of the vehicle at the operating condition.