Patent classifications
B60W2530/209
SYSTEMS AND METHODS FOR PROVIDING CARBON OFFSETS
Method and system for providing carbon offsets. For example, the method includes collecting mindful driving data for one or more vehicle trips made by a user, analyzing the mindful driving data to determine a level of mindful driving of the user, determining a level of carbon offset reward based at least in part upon the level of mindful driving of the user, determining an amount of total carbon emission of the user, and providing an amount of carbon offset reward based at least in part upon the level of carbon offset reward and the amount of total carbon emission.
Display unit for a hybrid vehicle
A display unit for a hybrid vehicle having at least one internal combustion engine-powered drive and at least one electric motor-powered drive, includes the following components: a first electronic determining module for determining the proportion of the current or averaged total fuel consumption used for charging the energy accumulator for the electric motor-powered drive, and/or for determining the proportion of the current or averaged total fuel consumption used to drive the hybrid vehicle; and a first display element for displaying at least this determined charge-fuel proportion and/or this determined drive-fuel proportion, in addition to the total fuel consumption.
Vehicle control device, vehicle control method, and storage medium
According to an embodiment, there is provided a vehicle control device including a recognizer configured to recognize a surrounding environment of a vehicle, a driving controller configured to perform driving control based on speed control and steering control of the vehicle on the basis of a recognition result, and an acquirer configured to acquire the remaining amount of energy of the vehicle, wherein the driving controller causes the vehicle to move from a first parking area to a second parking area where parking is possible according to traveling based on the driving control and traveling based on manual driving in a state in which the vehicle is parked or has been parked in the first parking area where the vehicle is parked according to the traveling based on the driving control and when the remaining amount of energy acquired is less than or equal to a threshold value.
Control apparatus for vehicle
A control apparatus for a vehicle includes: a characteristic storage portion configured to store therein torque-characteristic information representing an output torque characteristic as a characteristic of an output torque of an engine of the vehicle, which has appeared in a certain control operation, such that the stored torque-characteristic information is divided into a plurality of groups corresponding to respective refueling points that provide the fuel; and a factor determination portion configured, when the output torque characteristic represented by the torque-characteristic information belonging to one of the plurality of groups and the output torque characteristic represented by the torque-characteristic information belonging to another one of the plurality of groups are different from each other and a characteristic difference therebetween is not smaller than a threshold value, to determine that the characteristic difference is caused by a difference in a property of the fuel.
Method and system for providing personalized interactive assistance in an autonomous vehicle
Disclosed herein is method and interactive assistance system for providing personalized assistance to a driver or person in an autonomous vehicle. Parameters related to the user and the vehicle are monitored and compared with historical data to determine a deviation in the parameters. An abnormal condition is detected when the deviation is more than an optimal threshold. Further, a personalized interaction is initiated with the user through a selected one of the interactive assistance engine and one or more assistive activities are performed for handling the abnormal condition. In an embodiment, the method of present disclosure enhances both safety and user experience of the user of the autonomous vehicle.
COMPONENT DAMAGE AND SALVAGE ASSESSMENT
Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.
INFORMATION EXCHANGE DEVICE PROVIDED WITH CHAT DISPLAY PART
An information exchange device according to an embodiment includes a user terminal to which first data including a user command is input, an IOT terminal for generating second data including information of a thing, and a cloud server provided with a first communication part for exchanging the first data with the user terminal, a second communication part for exchanging the second data with the IOT terminal, a command extraction part for extracting the user command from the first data, an information extraction part for extracting the information of the thing matching the user command from the second data, and an AI controller for calculating the user command and the information of the thing and generating third data that is a response to the first data, wherein the cloud server and the user terminal exchange the first data and the third data in a chat format with each other.
Driving range based on past and future data
A system for determining a driving range of a vehicle includes an energy storage component to store electrical energy or fuel. The system further includes a power source to convert the electrical energy or fuel into mechanical power to propel the vehicle. The system further includes a memory to store map data including road speeds, altitude data, road grades, or stop information corresponding to at least one of stop signs or stop lights, and a first driver profile corresponding to driving behavior of a first driver. The system further includes an electronic control unit (ECU) designed to predict the driving range of the vehicle based on an amount of the at least one of the electrical energy or fuel remaining in the energy storage component, the map data, and the first driver profile. The system further includes an output device designed to output the driving range of the vehicle.
Method and apparatus for controlling mild hybrid electric vehicle
A method of controlling a mild hybrid electric vehicle may include determining whether a Start Stop Control (SSC) entrance condition is satisfied when a cruise mode is set; when the SSC entrance condition is determined to be satisfied by the control unit to enter an SSC mode, interrupting a supply of fuel to an engine and turning off the engine; monitoring a vehicle speed, in which when the engine is turned off, the control unit is configured to determine whether an acceleration control or a braking control of the vehicle is required based on a detection signal transmitted from a detecting unit electrically-connected to the control unit; and increasing or decreasing the vehicle speed by controlling the engine, a Mild Hybrid Starter Generator (MHSG), or an Electronic Stability Control (ESC) based on the monitoring of the vehicle speed.
SYSTEMS AND METHODS FOR PREDICTING FUEL CONSUMPTION EFFICIENCY
Method and system for predicting fuel consumption efficiency. For example, the method includes collecting past user driving data for one or more past vehicle trips that have already been made by a user, analyzing the past user driving data to determine one or more past user driving features related to a past fuel consumption efficiency of the user, collecting information for one or more future vehicle trips that will be made by the user during a predetermined future period of time, and predicting a future fuel consumption efficiency of the user during the predetermined future period of time based at least in part upon the information for the one or more future vehicle trips and the determined one or more past user driving features.