基于全球-本地动态模型脱的4WIDEV的模块化和层次状态估计策略
Te Chen1, Zikun Zhang2, Xing Xu2
1Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China; Key Laboratory of Advanced Manufacture Technology for Automobile Parts (Chongqing University of Technology), Ministry of Education, Chongqing 400054, China; Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan, Xihua University, Chengdu 610039, China.
本研究提出了四轮独立驱动电动汽车 (4WIDEV) 的新估计策略. 它提高了状态估计的准确性,而不需要轮胎模型,改善了车辆控制和安全.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 准确的状态估计对于电动汽车控制至关重要.
- 传统方法通常依赖于经验式轮胎模型,限制了它们的适用性.
- 脱车辆动态对于高准确度估计至关重要.
研究的目的:
- 为四轮独立驱动电动汽车 (4WIDEV) 制定一个层次化的估计策略.
- 在没有经验式轮胎模型的情况下实现高准确度状态估计.
- 为了提高车辆状态估计的准确性.
主要方法:
- 全球-本地动态模型脱.
- 电动驱动轮模型 (EDWM) 和比例整体观察器 (PIO) 用于纵向力解.
- 未知输入观察者 (UIO) 用稳定性证明进行横向力估计.
- 使用强跟踪扩展卡尔曼波器 (STEKF) 的等级策略.
主要成果:
- 顺利解轮胎纵向力和模型状态变量.
- 准确估计前后轴上的侧轮胎力.
- 通过模拟和实验证明了车辆状态估计准确性的改进.
结论:
- 提出的等级策略有效地提高了4WIDEVs.的状态估计.
- 该方法避免依赖经验式轮胎模型,提供更广泛的适用性.
- 这种方法有助于更强大,更精确的车辆控制系统.
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