Abstract

Churning loss and lubrication performance are key issues that need to be considered for the efficiency of electric vehicle reducers. In this article, a 3D transient computational fluid dynamics model based on the lattice Boltzmann method is proposed to determine the oil distribution and churning loss of an electric vehicle reducer. The effectiveness of this method in the calculation of the churning loss is verified by comparing the calculation results with previously published experimental data. The advantages of mesh-free methods over mesh-based methods in two-phase flow simulations are also demonstrated. The oil distribution in an electric vehicle reducer is visualized using numerical computations. The churning loss torque is obtained under different operating conditions determined by changes in the input rotating speed, oil level, and oil temperature. The results of the present study demonstrate that the input rotating speed and oil level have important influences on the oil distribution and churning loss torque, whereas the oil temperature has little effect.

摘要

搅拌损失和润滑性能是电动汽车减速机效率需要考虑的关键问题。在本文中，提出了基于格子 Boltzmann 方法的 3D 瞬态计算流体动力学模型来确定电动汽车减速器的油分布和搅拌损失。通过将计算结果与先前公布的实验数据进行比较，验证了该方法在计算搅动损失方面的有效性。还展示了无网格方法在两相流模拟中优于基于网格的方法的优点。电动汽车减速器中的油分布使用数值计算进行可视化。搅拌损失转矩是在由输入转速、油位、和油温。本研究结果表明，输入转速和油位对油液分布和搅拌损失扭矩有重要影响，而油温影响不大。