首页|电动汽车驱动系统转向极限工况容错控制研究

电动汽车驱动系统转向极限工况容错控制研究

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在汽车出现转向不足或者过度问题而需稳定控制横摆时,如果依然采取以往容错控制方式,汽车稳定性下降。针对电动汽车驱动系统的故障诊断和容错调控问题,提出以无迹卡尔曼滤波(UKF)与车载传感器信号为基础的故障诊断方式,防止对期望横摆的强制性追踪或许会造成的汽车稳定性较差的问题。研究结果表明:高附着路面下,普通汽车转向时会发生转向过度的情况,汽车稳定性急剧下降,通过以无迹卡尔曼滤波(UKF)与车载传感器信号为基础的故障诊断方式,可确保最后汽车稳定于相应的横摆率上,维持较强的转向性能。该研究有助于提高汽车转向稳定性,尤其是对于智能汽车的控制方面。
Study on Fault-Tolerant Control of Electric Vehicle Drive System under Extreme Steering Conditions
When the vehicle needs stable control of yaw due to under-steering or over-steering,if the previous fault-tolerant control is still adopted,the vehicle stability will decrease.A fault diagnosis method based on untracked Kalman filter(UKF)and on-board sensor signals is proposed to avoid the problem of poor vehicle stability caused by mandatory tracking of desired yaw.The research results show that under the high adhesion road surface,the general car will oversteer when it turns,and the car stability will decline sharply.The application of the method in this paper can ensure that the car is finally stable at the corresponding yaw rate,and the car can maintain strong steering performance.

electric vehiclefour-wheel drivefault diagnosisfault tolerant controluntraced kalman filtervehicle mounted sensor

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开封技师学院汽车工程系,河南 开封 475000

电动汽车 四轮驱动 故障诊断 容错控制 无迹卡尔曼滤波 车载传感器

2024

机械管理开发
山西省机械工程学会

机械管理开发

影响因子:0.273
ISSN:1003-773X
年,卷(期):2024.39(5)
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