Intelligent self-adaptive automatic transmission

Abstract

The invention discloses an intelligent self-adaptive automatic transmission which comprises a power input mechanism, a forward gear transmission system, a reverse gear transmission system, a main shaft used for outputting power and a transmission sensing mechanism used for detecting blocking torque of a main bearing. The power input mechanism simultaneously drives the reverse gear transmission system and the transmission sensing mechanism, and the transmission sensing mechanism drives the forward gear transmission system. By adopting the technical scheme, the rotating speed and the torque of amotor can be adjusted adaptively, so that the motor is in a working state with high rotating speed and high efficiency, the energy consumption is low, the stability, the reliability and the service life of the motor are improved, the special reverse gear transmission system is additionally arranged, the energy of the motor is recovered, a larger speed ratio can be provided during reversing, the output torque is larger, and the transmission is beneficial to overcoming more extreme conditions and improving the reversing safety.

Description

technical field [0001] The invention relates to the technical field of transmissions, in particular to an intelligent adaptive automatic transmission. Background technique [0002] Due to the limitations of its transmission structure, the existing electric vehicles are completely controlled by the driver based on experience when the driving resistance cannot be accurately known during driving. The actual driving conditions do not match, causing the motor to stall. Especially when the vehicle is under low-speed and heavy-load conditions such as starting, climbing, and headwind, the existing automatic transmission cannot detect the resistance torque in real time, resulting in the motor often needing to work at low efficiency, low speed, and high torque. Adaptive adjustments to the speed and torque of the motor may easily cause accidental damage to the motor, increase maintenance and replacement costs, and directly affect the cruising range of the battery. For models with hig...

AI Technical Summary

Problems solved by technology

[0002] Due to the limitations of its transmission structure, the existing electric vehicles are completely controlled by the driver based on experience when the driving resistance cannot be accurately known during driving. The actual driving conditions do not match, causing the motor to stall

Especially when the vehicle is under low-speed and heavy-load conditions such as starting, climbing, and headwind, the existing automatic transmission cannot detect the resistance torque in real time, resulting in the motor often needing to work at low efficiency, low speed, and high torque. Adaptive adjustments to the speed and torque of the motor will easily cause accidental damage to the motor, increase maintenance and replacement costs, and also directly affect the cruising range of the battery

For models with high economic requirements such as electric logistics vehicles, the traditional variable speed transmission structure obviously cannot better meet their use requirements

Moreover, when the electric vehicle is sliding by inertia, due to the structural design problem of the existing automatic transmission, the transmission cannot transmit the torque of the wheel to the motor, so that the capacity recovery and storage cannot be realized, resulting in unsatisfactory cruising range

At the same time, the forward and reverse of the existing electric transportation is realized by the forward and reverse switching of the motor, resulting in a relatively small reverse gear speed and insufficient torque, which cannot be adapted to some special situations

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