An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

A control device according to an embodiment of the present technology includes: an acquisition unit; a detection unit; and a control unit. The acquisition unit acquires external force information regarding an external force to be applied to a moving object including a drive source. The detection unit detects a human force and a resistance force on the basis of the acquired external force information, the human force causing the moving object to move, the resistance force being imposed on the moving object. The control unit calculates a first control value corresponding to the detected human force, and a second control value corresponding to the detected resistance force, and controls the drive source on the basis of the first and second control values.

Various implementations include approaches for training a surface detection classifier and detecting characteristics of a surface, along with related micromobility vehicles. Certain implementations include a method including: comparing: i) detected movement of a micromobility (MM) vehicle or a device located with a user at the MM vehicle while operating the MM vehicle, with ii) a surface detection classifier for the MM vehicle; and in response to detecting that the MM vehicle is traveling on a restricted surface type for a threshold period, performing at least one of: a) notifying an operator of the MM vehicle about the travel on the restricted surface type, b) outputting a warning at an interface connected with the MM vehicle or the device, c) limiting a speed of the MM vehicle, or d) disabling operation of the MM vehicle.

Fuzzy-logic based traction control for electric vehicles is provided. The system detects a wheel slip ratio for each wheel. The system receives an input torque command. The system determines a slip error for each wheel based on the wheel slip ratio for each wheel and a target wheel slip ratio. The system, using the fuzzy-logic based control selection technique, selects a traction control technique from one of a least-quadratic-regulator, a sliding mode controller, a loop-shaping based controller, or a model predictive controller. The system generates a compensation torque value for each wheel. The system generates the compensation torque value based on the traction control technique selected via the fuzzy-logic based control selection technique and the slip error for each wheel. The system transmits commands to actuate drive units of the vehicles based on the compensation torque value.

Disclosed are a method of improving fuel efficiency of a fuel cell electric vehicle, and an apparatus and a system therefor. The method includes collecting navigation information and vehicle speed information, calculating a coasting line when a specified event point is detected based on the navigation information, determining whether deceleration is necessary by comparing a current traveling speed with a coasting line speed corresponding to a current location, and changing a criterion for determining whether to enter a fuel cell stop (FC STOP) state when the deceleration is necessary as a determination result.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

A fuel cell vehicle performs a control for increasing a flow rate of a cathode gas discharged to a discharge pipe when parameters including power consumption of a driving motor, a speed, and an acceleration has satisfied a flooding condition which is assumed to be satisfied in a state where a water surface reaches a discharge port in comparison with a case where the flooding condition is not satisfied. It is determined that the predetermined flooding condition has been satisfied when a state where at least three conditions, (i) the power consumption of the driving motor is equal to or greater than a predetermined first threshold value, (ii) the speed is equal to or less than a predetermined second threshold value, and (iii) the acceleration is equal to or less than a predetermined third threshold value, are satisfied is continuously maintained for a predetermined fourth threshold value or more.

Electrically powered vehicles may be equipped with both mechanical braking systems and regenerative braking systems. Regenerative braking systems improve vehicle efficiency by returning a portion of the energy lost in deceleration to the battery of the electrically powered vehicle. An electrically powered vehicle controller that provides collision avoidance functionality can maximize the energy returned to the battery of the electrically powered vehicle by maximizing the use of regenerative braking for collision avoidance. A first braking mode can include only regenerative braking for objects greater than the minimum regenerative stopping distance. A second braking mode can include composite braking using both mechanical and regenerative braking. The electrically powered vehicle controller determines the maximum regenerative braking level at least based on data provided battery charge level or battery state sensors.

A method of controlling the hybrid vehicle in which electric power of the battery and electric power generated by an electric generator are supplied to a drive device, a running load of the drive motor is estimated on the basis of the driver's requirement, and a first distance to empty that allows for running in a state where the estimated running load is fulfilled is calculated on the basis of an amount of charge remaining in the battery and an amount of fuel remaining used to drive the fuel cell. Then, a required running distance is estimated on the basis of the driver's requirement, and, on the basis of the first distance to empty and the required running distance, a necessary energy replenishment operation is notified to the driver.

A travel control device that is mounted on a vehicle including an electric motor and an internal combustion engine as a power source includes an electronic control unit configured to create a speed profile in which a speed of the vehicle at each time is predicted, approximate the speed profile with a predetermined approximation model and estimate a predicted amount of regenerative energy based on an approximation result, the regenerative energy being energy that is recoverable by regenerative braking of the electric motor, and determine the power source used for traveling based on the predicted amount of the regenerative energy.