Design of automotive mechanical automatic transmission system based on torsional vibration reduction

Abstract

Automatic transmission system is the core part of vehicle transmission processing, which can improve driving safety. In order to improve the shift effect of automotive automatic mechanical transmission and narrow the gap between the vehicle speed and the expected speed, an automotive automatic mechanical transmission system based on torsional damping was designed in the experiment. On the basis of hardware composed of different modules and fuzzy control algorithm, the system realizes the software design of vehicle automatic mechanical transmission system. The experimental results show that when the system is applied in practice, the gear selection time of the vehicle is between 0.2 s-0.3 s, and the gear shift time is between 0.3 s-0.4 s. The gap between the vehicle speed and the expected speed, and between the vehicle speed and the expected speed is small. The practical application effect is good.

Driving into the Dynamics−Leveraging the Direct-Quadrature-Zero Transform for Mechanical Systems

“…Then, with a corresponding inverse transform defined in (8). For the direct conversion of a time column vector referenced in abc (mabc(t)) into a time column vector in the dq0 frame (mdq0(t)), equation ( 9) is used.…”

“…The field of automotive mechanical transmission systems is highlighted in [8], emphasizing their critical role in minimizing torsional vibration. Addressing torsional vibration emerges as a requirement for the optimal function and lifetime of transmission systems.…”

Vibration Signal Analysis of Complex Mechanical Systems and Early Wear Detection and Forecasting for Gears

“…While previous research has proposed myriad methods regarding vibration signal analysis and gear wear detection, these methods often exhibit limitations when addressing complex mechanical systems [15][16][17][18]. Conventional detection approaches largely rely on empirical rules and statistical techniques, possibly failing to represent the true wear status of gears accurately, thus prone to false alarms or omissions [19,20]. Additionally, the efficacy of these methods on complex, nonlinear vibration signal processing is less than optimal, struggling to meet the demands of contemporary intricate mechanical systems [21][22][23].…”