Prediction of power losses in electric vehicle transmissions

传输功率损失是电动汽车总能量损失的主要组成部分。相对而言，这一贡献比同等的IC动力汽车要大得多。因此，预测和最小化输电损耗的能力为提高电动汽车的效率，从而扩大电动汽车的使用范围提供了重要途径。该项目将开发一种新的模型来预测电动汽车变速箱效率，包括润滑油性能的影响。该方法利用热耦合齿轮润滑模型来准确地预测齿轮齿面摩擦以及轴承和搅拌损失。至关重要的是，该模型将使用实验获得的润滑油流变性参数作为输入，这将使其能够在整体变速箱效率方面区分不同的润滑油配方。该模型旨在作为一种工具，用于优化变速器油和变速箱结构的选择，以提高电动汽车的效率和续航能力。结果将通过选择现有和新的机油以及电动汽车变速器典型的一系列运行条件来评估变速器损耗的趋势。

Transmission power losses provide a major contribution to the overall energy loss in an electric vehicle. In relative terms, this contribution is much larger than in an equivalent IC-powered vehicle. Consequently, the ability to predict and minimise transmission losses provides an important avenue for improving the efficiency and thus extending the range of EVs. This project will develop a new model for prediction of EV gearbox efficiency including the influence of lubricant properties. The approach utilises a thermally-coupled gear lubrication model to accurately predict gear teeth friction as well as bearing and churning losses. Crucially, the model will use experimentally obtained lubricant rheology parameters as input which should allow it to differentiate between different lubricant formulations in terms of overall gearbox efficiency. The model is intended to be used as a tool for optimising the selection of transmission oils and gearbox architecture for improved efficiency and range of EVs. Results will assess the trends in transmission losses with a selection of existing and new oils and over a range of operating conditions typical of EV transmissions.