A trip energy estimation system includes a memory and a control module. The memory stores average traffic speed, average traffic acceleration, driver speed, and driver acceleration data. The control module executes an algorithm to estimate an amount of energy for an electric vehicle to travel between two locations. The algorithm includes: determining, based on the average traffic speed data and the average traffic acceleration data, a baseline amount of energy for the electric vehicle to travel between the two locations; determining, based on the driver speed data and the driver acceleration data, a dynamic amount of energy corresponding to at least one of stop and go events, over speeding, or under speeding; and determining a total amount of energy based on the baseline amount of energy and the dynamic amount of energy. The control module, based on the total amount of energy, performs an operation including indicating a trip estimate.

A parking interlock system and method for a vehicle is provided. The system includes: a safety state information detecting unit, configured to detect safety state information of the vehicle; an operating state information detecting unit, configured to detect operating state information of the vehicle; a brake; a motor; a low voltage controller, connected to the safety state information detecting unit and the brake respectively, and configured to generate a safety state judgment result based on the safety state information of the vehicle; and a motor controller, connected to the safety state information detecting unit and the motor respectively, and configured to control the motor according to the safety state judgment result received from the low voltage controller, and to send the operating state information of the vehicle to the low voltage controller such that the low voltage controller controls the brake according to the operating state information.

A parking interlock system and method for a vehicle is provided. The system includes: a safety state information detecting unit, configured to detect safety state information of the vehicle; an operating state information detecting unit, configured to detect operating state information of the vehicle; a brake; a motor; a low voltage controller, connected to the safety state information detecting unit and the brake respectively, and configured to generate a safety state judgment result based on the safety state information of the vehicle; and a motor controller, connected to the safety state information detecting unit and the motor respectively, and configured to control the motor according to the safety state judgment result received from the low voltage controller, and to send the operating state information of the vehicle to the low voltage controller such that the low voltage controller controls the brake according to the operating state information.

An onboard system that reduces a mental pressure on a driver includes a remaining amount detector that detects a remaining amount of a power source remaining in a vehicle, a lighting detector that detects that a low power source indicator provided in the vehicle lights up, a lighting remaining amount storage unit that stores, as a lighting remaining amount, the remaining power source amount detected by the remaining amount detector at a timing at which the lighting detector detects the lighting of the low power source indicator, a notification remaining amount detector that detects a remaining power source amount larger by a predetermined amount than the lighting remaining amount stored in the lighting remaining amount storage unit, and a notifier that notifies information for promoting supply of the power source after the remaining power source amount larger than the lighting remaining amount by the predetermined amount is detected before the lighting remaining amount is detected.

A drive control system is provided, which is mounted on a vehicle configured to travel by operation of a driver. The drive control system includes an actuator configured to output a driving force for the vehicle to travel, an output sensor configured to detect a driving force requested by the operation of the driver, and a control device configured to control operation of the actuator based on the requested driving force detected by the output sensor. The control device sets a target output value by adding a given delay time to a requested output value set corresponding to the requested driving force, and controls the actuator so as to output the target output value based on a response characteristic of the actuator.

A vehicle dynamics control system receives a feedback state signal including values of a roll rate and a roll angle of the motion of the vehicle and updates parameters of a model of roll dynamics of the vehicle by fitting the received values into the roll dynamics model. The roll dynamics model explains the evolution of the roll rate and the roll angle based on the parameters including a center of gravity (CoG) parameter modeling a location of a CoG of the vehicle, and a spring constant and a damping coefficient modeling suspension dynamics of the vehicle. The system determines a control command for controlling at least one actuator of the vehicle using a motion model including the updated CoG parameter and submits the control command to the vehicle controller to control the motion of the vehicle.

Vehicular movement detection systems and methods are disclosed. A computing device is configured to monitor sensor data and location data associated with a first user device including one or more sensors, and monitor traffic data associated with a location of the first user device based on the sensor data and location data. In response to the data, the computing device determines whether to provide a user-selectable message to the first user device based on a vehicle speed, proximity to a destination, and vehicle speed relative to traffic speed. The user-selectable message comprises a prompt configured to transmit a search request for a listing location. In response to the determination, the user-selectable message is provided to the first user device. In response to receiving a search request, the computing device is configured to transmit instructions to the first user device to direct the first user device to a first listing location.

Vehicular movement detection systems and methods are disclosed. A computing device is configured to monitor sensor data and location data associated with a first user device including one or more sensors, and monitor traffic data associated with a location of the first user device based on the sensor data and location data. In response to the data, the computing device determines whether to provide a user-selectable message to the first user device based on a vehicle speed, proximity to a destination, and vehicle speed relative to traffic speed. The user-selectable message comprises a prompt configured to transmit a search request for a listing location. In response to the determination, the user-selectable message is provided to the first user device. In response to receiving a search request, the computing device is configured to transmit instructions to the first user device to direct the first user device to a first listing location.

Disclosed herein are systems and methods for energy-based vehicle analysis. A vehicle includes an energy storage unit that is configured to store energy. An energy attribute sensor measures one or more attributes of the energy storage unit. A vehicle attribute sensor measures one or more attributes of the vehicle. The energy storage unit is configured to power a propulsion mechanism of the vehicle. A control system with a processor and a memory estimates a capacity of the energy storage unit based on the one or more attributes of the energy storage unit. The control system estimates a range that the vehicle is capable of reaching using the propulsion mechanism based on the one or more attributes of the vehicle and the estimated capacity of the energy storage unit. The control system causes an output interface to output an indication of the estimated range.

Disclosed herein are systems and methods for energy-based vehicle analysis. A vehicle includes an energy storage unit that is configured to store energy. An energy attribute sensor measures one or more attributes of the energy storage unit. A vehicle attribute sensor measures one or more attributes of the vehicle. The energy storage unit is configured to power a propulsion mechanism of the vehicle. A control system with a processor and a memory estimates a capacity of the energy storage unit based on the one or more attributes of the energy storage unit. The control system estimates a range that the vehicle is capable of reaching using the propulsion mechanism based on the one or more attributes of the vehicle and the estimated capacity of the energy storage unit. The control system causes an output interface to output an indication of the estimated range.