The tank truck has a wide range of application. When the liquid in the tank is not fully loaded, the lateral movement of the liquid in the tank will shift the center of gravity of the tank truck and make the vehicle less safe. It is easy to roll over when the tank truck is turning. This study combines the vehicle dynamic characteristics and geographic information, which gives the driver safe speed and safe braking distance tips before turning, to reduce the traffic accidents caused by driver's misjudgment. The dynamic model of the tank truck is established, through collecting the real-time information of the vehicle, the vehicle load and braking torque are calculated by the relevant dynamic model. The system needs to measure the deviation of the center of gravity in the tank truck movement process, and the deviation of the center of gravity has a great influence on the safety speed. The vehicle center of gravity position model is established, the sensor in the tank truck is used to sense the change of liquid level in the tank and different situations are classified. The center of gravity deviation of the tank truck is accurately obtained from the vehicle center of gravity position model. The experiment shows that the model has a small error that can effectively guarantee the correctness of the model. Finally, the safe speed and braking distance under different turning conditions are calculated based on the high precision digital map feedback data, and the driver is prompted in advance. The results show that the early warning scheme is significant to the turning of tank truck when the liquid filling ratio is more than 70% and the initial speed reaches more than 60km/h, and can effectively reduce the traffic accident rate.


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    Title :

    Safety Speed Warning System for Tank Truck against Rollover


    Additional title:

    Sae Technical Papers


    Contributors:
    Tan, Gangfeng (author) / Feng, Jiaming (author) / Chen, Kailang (author) / Ye, Meng (author) / Huang, Xin (author)

    Conference:

    SAE WCX Digital Summit ; 2021



    Publication date :

    2021-04-06




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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