优化电动汽车传动系统液体,采用全新系统层面的方法
Joseph F Shore1, Amir Kadiric1
1Imperial College London, London, UK.
概括
优化电动汽车 (EV) 传动系统效率需要选择合适的电流体粘度. 这项研究开发了一种系统级模型,以找到最佳的电子流体,以最大限度地减少不同驾驶条件下的传动损失.
科学领域:
- 部落学 (tribology) 是一个学科.
- 机械工程 机械工程
- 汽车工程 汽车工程
背景情况:
- 电动汽车 (EV) 驱动系统的效率对于续航里程和性能至关重要.
- 了解电子流体特性对传动系统损耗的影响对于优化至关重要.
- 现有的模型往往缺乏系统层面的方法,无法捕捉损失来源之间的相互依存关系.
研究的目的:
- 开发和验证基于三角学的系统级模型,用于预测电动汽车传动系统损失.
- 调查电子流体特性,特别是粘度和质,对传输效率的影响.
- 确定最佳的e-流体特性,以最大限度地减少各种驾驶周期的能量损失.
主要方法:
- 开发一个系统级传输效率模型,包括轮网格,轴承和轮变损失.
- 使用热合混合摩擦预测用于轮网格和实验衍生回归用于轮.
- 在现实世界EV道路测试中通过现场温度测量验证模型.
主要成果:
- 该模型准确地预测了整个电动驱动单元 (EDU) 内的温度演变.
- 它表明,e-fluid风湿学可以在相同规格的油之间区分其对损失的影响.
- 确定了一个最佳的e-流体粘度,以实现最小的传动损失,根据车辆的使用周期而有所不同.
结论:
- 开发的模型为优化滑油选择和电动驱动单元设计提供了一个有效的工具.
- 最佳的e-fluid粘度取决于工作周期,在城市驾驶 (NYCC) 中偏好较高的粘度,在高速公路驾驶 (WLTC) 中偏好较低的粘度.
- 轮牙摩擦在城市循环中占主导地位,而在高速公路驾驶场景中轴承损失更为显著.
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