控制理论(社会学)
振动
控制器(灌溉)
补偿(心理学)
电动汽车
主动振动控制
工程类
传输(电信)
传动系统
联轴节(管道)
传动系
扭矩
振动控制
计算机科学
物理
控制(管理)
电气工程
声学
人工智能
精神分析
生物
心理学
功率(物理)
量子力学
农学
热力学
机械工程
作者
Shuaishuai Ge,Shuang Hou,Yufan Yang,Zhigang Zhang,Fang Tang
出处
期刊:SAE International journal of vehicle dynamics, stability, and NVH
日期:2023-10-17
卷期号:7 (4)
被引量:2
标识
DOI:10.4271/10-07-04-0033
摘要
<div>To address the torsional vibration caused by impact conditions in electric vehicles (EVs), such as deceleration belts and road irregularities, a comprehensive electromechanical coupling dynamics model is developed. This model includes the dynamic behavior of the permanent magnet synchronous motor (PMSM) and the gear transmission system in the EV’s electric drive system. The study aims to investigate the electromechanical coupling dynamics and vibration characteristics of the system under impact conditions. Based on this, an innovative active damping control strategy is proposed for the EV’s electric drive system when subjected to impact conditions. This strategy incorporates active disturbance rejection current compensation (ADRCC) to achieve a speed difference of zero at two ends of the half-shaft as the tracking control target, and compensating current is superimposed on the original given current of the motor controller. The results highlight the effectiveness of the proposed strategy. Under single-pulse impact condition, the vibration energy of the gear transmission system is reduced by approximately 63.1% compared to without the controller. Under continuous impact conditions, the vibration energy of the gear transmission system is reduced by approximately 55.63% and the cumulative error of the speed difference is reduced by approximately 61.4% compared to without the controller. These findings demonstrate that the proposed strategy successfully suppresses the continuous oscillation of the electric drive system under impact conditions. The research results provide a theoretical reference for the vibration suppression of the electric drive system of EVs.</div>
科研通智能强力驱动
Strongly Powered by AbleSci AI