Reliability analysis of vehicle speed estimation based on uncertainty of information obtained on accident scene

Zhang, Xiaoyun; Zhang, Dongming; Yang, Xiaobo; Hou, Xiao

doi:10.1080/13588265.2018.1478926

Cited by 4 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At present, the minimum wheel speed method and the slope method are usually used to estimate the vehicle body speed [29]. However, the former has large estimation errors, and the latter is obtained the vehicle body speed by integrating the vehicle acceleration within a certain sampling period (the formula for calculating vehicle speed is

V_{e} = \int {\dot{V}}_{e} italicdt + V_{0}

;

V_{0}

is the initial speed), which requires the initial speed of the vehicle body, it is difficult to implement.…”

Section: Control Strategy Of Tcsmentioning

confidence: 99%

Practical active traction control for independent‐wheel‐drive electric vehicle based on slip‐ratio threshold determination

Wang

Gao

et al. 2023

Asian Journal of Control

View full text Add to dashboard Cite

The traditional traction control system (TCS) based on hydraulic braking only works when the wheels are slipping, which will cause the problem of slow response to extreme slip. In addition, the TCS of four‐wheel‐independent‐drive electric vehicle (4WIDEV) is often based on road adhesion characteristics identification or optimal slip ratio identification to implement active control, which is difficult to achieve in engineering. Aiming at this problem, a practical active TCS is proposed in this paper. Firstly, according to the wheel slip state of the front and rear axles, the dynamic transfer of torque between axles is realized to maintain the vehicle propulsion power. Second, the adhesion conditions between road and tire are classified, and two sets of target slip ratio thresholds are formulated for high and low adhesion pavement, respectively. Then the current road adhesion coefficient is estimated by using the advantage that the in‐wheel motor torque can be obtained in real‐time. Thirdly, the overall framework of the control strategy is established, the logic threshold control algorithm is adopted for tracking the wheel target slip ratio. Finally, the simulation results show that the proposed active TCS can improve the vehicle power and avoid excessive wheel slipping.

show abstract

V_{e} = \int {\dot{V}}_{e} italicdt + V_{0}

;

V_{0}

is the initial speed), which requires the initial speed of the vehicle body, it is difficult to implement.…”

Section: Control Strategy Of Tcsmentioning

confidence: 99%

Practical active traction control for independent‐wheel‐drive electric vehicle based on slip‐ratio threshold determination

Wang

Gao

et al. 2023

Asian Journal of Control

View full text Add to dashboard Cite

show abstract

Uncertainty analysis of vehicle-pedestrian accident reconstruction based on unscented transformation

Zhou

et al. 2023

Forensic Science International

View full text Add to dashboard Cite

Frontal crashworthiness optimization for a light-duty vehicle based on a multi-objective reliability method

Zhang

Wang

et al. 2022

International Journal of Crashworthiness

View full text Add to dashboard Cite

Reliability analysis of vehicle speed estimation based on uncertainty of information obtained on accident scene

Cited by 4 publications

References 11 publications

Practical active traction control for independent‐wheel‐drive electric vehicle based on slip‐ratio threshold determination

Practical active traction control for independent‐wheel‐drive electric vehicle based on slip‐ratio threshold determination

Uncertainty analysis of vehicle-pedestrian accident reconstruction based on unscented transformation

Frontal crashworthiness optimization for a light-duty vehicle based on a multi-objective reliability method

Contact Info

Product

Resources

About