The invention discloses a longitudinal vehicle speed estimation method and system in a vehicle abnormal state. The method comprises the steps that vehicle information is obtained through a vehicle-mounted sensor; constructing a vehicle speed calculation model, and importing the obtained vehicle information into the model; and outputting the longitudinal vehicle speed through the vehicle speed calculation model, and performing analysis and judgment to obtain a final longitudinal vehicle speed estimation result in the abnormal state of the vehicle. According to the method, the dimensionality reduction observer is adopted to process the signals, and the problem that a common estimation method, such as Kalman filtering, is insufficient in capability of processing noise signals and fault signals in sensor signals is solved innovatively. Compared with a traditional vehicle speed estimation method, the method and system have higher robustness and reliability, the longitudinal speed of the vehicle can still be accurately estimated in the abnormal state of the vehicle, and therefore the performance and safety of a vehicle control system are improved.

    本发明公开了一种车辆异常状态下的纵向车速估计方法及系统包括,通过车载传感器,获取车辆信息;构建车速计算模型,将获取的车辆信息导入模型;通过车速计算模型输出纵向车速并进行分析判断,得到最终的车辆异常状态下的纵向车速估计结果。本方法采用的降维观测器对信号进行处理,创新性解决了一般估计方法如卡尔曼滤波对传感器信号中的噪声信号、故障信号处理能力不足的问题。与传统的车速估计方法相比,本方法及系统具有更高的鲁棒性和可靠性,能够在车辆异常状态下仍能准确估计车辆的纵向速度,从而提高车辆控制系统的性能和安全性。


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    Title :

    Longitudinal speed estimation method and system in abnormal state of vehicle


    Additional title:

    一种车辆异常状态下的纵向车速估计方法及系统


    Contributors:
    SUN XIAOJIE (author) / DAI CHENXI (author) / ZHAO YULUN (author) / WANG WENLIANG (author) / ZHOU LEPENG (author) / ZHOU LING (author)

    Publication date :

    2024-02-20


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion



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