An advanced methodology for rollover warning of heavy duty truck based on Kalman filter state estimation

摘要：

The rollover warning technology reported in this paper focuses on detection of heavy duty truck realtime rollover propensities. The paper suggests a new algorithm of rollover warning for heavy duty vehicle based on Kalman filter technology. Its feasibility for implementation in a heavy duty truck rollover threat detection system is demonstrated through vehicle dynamic simulation studies. The effectiveness of the rollover warning is vaUdated by test data of heavy duty. It has been demonstrated that the proposed rollover warning system is very suitable for application in rollover risk assessment and warning.

关键词： rollover warning heavy duty truck Kalman filter

作者: Zhu Tianjun Zong Changfu

作者单位: State Key Laboratory of Automobile Dynamics Simulation Jilin University, Changchun, 130022, China Co State Key Laboratory of Automobile Dynamics Simulation Jilin University, Changchun, 130022, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 466-469

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）