Technical and Economic Analysis to Select Suitable Design Parameters of an E-Machine for Electric Commercial Vehicles

A. Kampker, H. Heimes, Benjamin Dorn, F. Brans, José Guillermo Dorantes Gómez, Chetan Sharma
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Abstract

In the European Union (EU), road transport contributes a major proportion of the total greenhouse gas (GHG) emissions, of which a significant amount is caused by heavy-duty commercial vehicles (CV). The increasing number of emission regulations and penalties by the EU have forced commercial vehicle manufacturers to investigate powertrain technologies other than conventional internal combustion engines (ICE). Since vehicle economics plays an important role in purchase decisions and the powertrain of a battery electric vehicle (BEV) contributes to about 8–20% of the total vehicle cost and the electric machine (EM) alone contributes to 33–43% of the drivetrain cost, it is necessary to analyze suitable EM topologies for the powertrain. In this paper, the authors aim to analyze the technical and cost aspects of an EM for electric commercial vehicles (ECV). Based on prior research and literature on this subject, an appropriate methodology for selecting suitable geometrical parameters of an e-machine for the use case of a heavy-duty vehicle is developed using MATLAB and Simulink tools. Then, for the economic analysis of the e-machine, reference ones are used, and their design parameters and cost structures are utilized to develop a cost function. Different use cases are evaluated according to the vehicle’s application. The results for a use case are compared by varying the design parameters to find the most cost-effective EM. Later, an analysis is performed on other decisive factors for EM selection. This highlights the importance of collaborative consideration of technological as well as the economic aspects of EMs for different use cases in ECVs. The method developed in this work contributes to understand the economic aspect of EMs as well as considering their performance factors. State-of-the-art methods and research are used to develop a novel methodology that helps with the selection of the initial geometry of the electric motor during the design process, which can serve to aid future designers and converters of electric heavy-duty vehicles.
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电动商用车电动机床设计参数选择的技术经济分析
在欧盟(EU),道路运输贡献了温室气体(GHG)排放总量的很大一部分,其中很大一部分是由重型商用车(CV)造成的。欧盟越来越多的排放法规和处罚迫使商用车制造商调查动力总成技术,而不是传统的内燃机(ICE)。由于车辆经济性在购买决策中起着重要作用,并且纯电动汽车(BEV)的动力总成约占车辆总成本的8-20%,而电机(EM)单独占传动系统成本的33-43%,因此有必要分析适合动力总成的EM拓扑结构。在本文中,作者旨在分析电动商用车(ECV)的EM的技术和成本方面。在前人研究和文献的基础上,利用MATLAB和Simulink工具开发了一种适合重型车辆用例的电子机械几何参数选择方法。然后,利用参考机型的设计参数和成本结构,对其进行经济分析,建立成本函数。根据车辆的应用评估不同的用例。通过改变设计参数来比较用例的结果,以找到最具成本效益的EM。随后,对EM选择的其他决定性因素进行分析。这突出了在ecv的不同用例中,协同考虑em的技术和经济方面的重要性。在这项工作中开发的方法有助于理解新兴市场的经济方面以及考虑其性能因素。最先进的方法和研究被用于开发一种新的方法,有助于在设计过程中选择电动机的初始几何形状,这可以帮助未来的电动重型车辆的设计师和转换器。
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