智能移动提升使用高保真磁铁流体建模用于自适应式阻尼器控制开发开发
Peilin Guo1, Yintao Wei2, Zhengwei Li1
1School of Vehicle and Mobility, Tsinghua University.
Journal of visualized experiments : JoVE
|July 14, 2025
概括
这项研究引入了一种新的磁石学 (MR) 流体和先进的指数线性混合分析 (ELMA) 模型,以改进电动汽车 (EV) 悬架系统. 温度补偿提高了阻尼器的控制,在极端条件下提高了可靠性.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 控制系统 控制系统
背景情况:
- 高性能电动汽车 (EV) 需要先进的悬架系统,以获得精确性和适应性.
- 磁电气学 (MR) 阻尼器提供快速响应的悬浮控制,但受到温度敏感性的影响,在极端条件下限制可靠性.
研究的目的:
- 开发一种高性能MR流体和一种用于MR阻尼器的新型指数线性混合分析 (ELMA) 模型.
- 为了提高电动汽车悬挂系统的MR阻尼器的耐温性和控制精度.
- 通过模拟来验证温度补偿MR阻尼器控制算法的有效性.
主要方法:
- 在热稳定的载体流体中使用碳酸铁颗粒合成了高性能MR流体,并添加了添加剂.
- 开发并确定了指数线性混合分析 (ELMA) 模型的参数,作为双塑性宾汉姆模型的替代方案.
- 将ELMA框架扩展到MR阻尼器,结合温度补偿算法.
- 进行了CarSim/Simulink联合模拟,以评估温度补偿Sky-hook和混合SH-ADD控制算法的性能.
主要成果:
- 拟议的ELMA模型和参数识别方法与双塑性宾汉模型相比,提供了更高的性能.
- 温度补偿算法使电流跟踪精度提高了3.98%,力跟踪精度提高了7.75%.
- 模拟显示,在D类道路上,垂直加速度变异减少了11.97%,峰值斜率降低了41.78%.
结论:
- 开发的协议成功地将MR流体物理与适应性阻尼器控制相结合,以增强电动汽车悬挂.
- 温度补偿策略显著提高了MR阻尼器在极端热环境中的性能和可靠性.
- 这项工作为推进电动汽车悬挂系统提供了可复制的工作流程,特别是在具有挑战性的条件下运行的高性能应用程序.
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