A controller of an electric drive system, a motor control method, and a related device are disclosed. A communication end of the controller is coupled to an assisted driving controller or an autonomous driving controller. The controller receives a target speed and a target acceleration from the assisted driving controller or the autonomous driving controller. An output end of the controller is coupled to an inverter circuit in the electric drive system. In response to a speed adjustment signal, the controller controls the inverter circuit to adjust a current output to a first motor.

A controller of an electric drive system, a motor control method, and a related device are disclosed. A communication end of the controller is coupled to an assisted driving controller or an autonomous driving controller. The controller receives a target speed and a target acceleration from the assisted driving controller or the autonomous driving controller. An output end of the controller is coupled to an inverter circuit in the electric drive system. In response to a speed adjustment signal, the controller controls the inverter circuit to adjust a current output to a first motor.

A garden tool includes a control assembly, an operating mechanism, a first wheel and a second wheel. The operating mechanism is provided with a detection device for detecting a displacement of the operating mechanism. The calibration method of the disclosure includes: receiving a deviation correction command; comparing an extremum rotating speed of the first wheel with an extremum rotating speed of the second wheel; and when there is a difference between the extremum rotating speed of the first wheel and the extremum rotating speed of the second wheel, correcting a relationship between an output signal of the detection device and an output rotating speed of the control assembly to enable the extremum rotating speed of the first wheel to be the same as the extremum rotating speed of the second wheel.

A control method, which is to be performed by a computer to control an electric vehicle that includes an operation component, includes: setting a traveling mode of the electric vehicle to a manual mode in which the electric vehicle travels in a direction and at a speed that are based on an operation performed on the operation component by an occupant of the electric vehicle; determining whether a passage having a width that satisfies a predetermined condition is present within a detection range, the detection range being set in a vicinity of the electric vehicle and being based on the operation; and when the passage is determined to be present, switching the traveling mode of the electric vehicle from the manual mode to a passage mode in which the electric vehicle autonomously travels along the passage.

A control method, which is to be performed by a computer to control an electric vehicle that includes an operation component, includes: setting a traveling mode of the electric vehicle to a manual mode in which the electric vehicle travels in a direction and at a speed that are based on an operation performed on the operation component by an occupant of the electric vehicle; determining whether a passage having a width that satisfies a predetermined condition is present within a detection range, the detection range being set in a vicinity of the electric vehicle and being based on the operation; and when the passage is determined to be present, switching the traveling mode of the electric vehicle from the manual mode to a passage mode in which the electric vehicle autonomously travels along the passage.

Systems and methods to predict and apply regenerative braking using GPS (global positioning system) and IMU (inertial measurement unit) data. Techniques described herein may be utilized to use a vehicle's current GPS position and IMU sensor data to determine charging availability for electric or hybrid vehicles. IMU and/or GPS data is used to determine a next path prediction and detect next route elevation level. If the next route elevation level is above a threshold, value, the vehicle's motor may be automatically swapped for regenerating energy. Accordingly, recharging operations may be performed in a wide change of scenarios, including those where a driver has not engaged the brake pedal.

Systems and methods to predict and apply regenerative braking using GPS (global positioning system) and IMU (inertial measurement unit) data. Techniques described herein may be utilized to use a vehicle's current GPS position and IMU sensor data to determine charging availability for electric or hybrid vehicles. IMU and/or GPS data is used to determine a next path prediction and detect next route elevation level. If the next route elevation level is above a threshold, value, the vehicle's motor may be automatically swapped for regenerating energy. Accordingly, recharging operations may be performed in a wide change of scenarios, including those where a driver has not engaged the brake pedal.