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Manufacturing and lifecycle costs of battery electric vehicles, direct-hydrogen fuel cell vehicles, and direct-methanol fuel cell vehicles

机译:电池电动车辆,直氢燃料电池和直甲醇燃料电池车辆的制造和生命周期成本

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In this study, potential vehicle manufacturing costs, lifecycle costs, infrastructure support costs, and emission-related costs are compared for three potential zero-emission vehicle (ZEV) technology development and deployment scenarios. These scenarios include production of mid-sized battery electric vehicles, direct-hydrogen fuel cell vehicles, and direct methanol fuel cell vehicles from 2003 to 2026, and operation of the vehicles in California's South Coast Air Basin (SCAB) from 2003 to 2043. The study focuses on potential manufacturing cost reductions for electric motors, motor controllers, battery systems, hydrogen storage tanks, and fuel cell systems, due to the combined forces of production scale economies and technological progress. Vehicle manufacturing and lifecycle costs are calculated by integrating vehicle component cost functions with a detailed vehicle performance and cost spreadsheet model. Fleet-level costs for vehicle operation, infrastructure development, and criteria pollutant and greenhouse gas emissions are calculated using a MATLAB/Simulink model developed by the author. In this regional-scale, fleet-level model, fuzzy set theory is used to characterize uncertainty in key input variables, and to propagate uncertainty through the calculation of vehicle, infrastructure, and emissions costs.
机译:在本研究中,将潜在的车辆制造成本,生命周期成本,基础设施支持成本和排放相关成本进行比较,以3个潜在的零排放车辆(ZEV)技术开发和部署方案。这些情景包括从2003年到2026年的中型电池电动车,直接氢燃料电池和直接甲醇燃料电池的生产,以及从2003年到2043年的加州南海岸航空盆地(SCAB)的车辆的运行。该由于生产规模经济的综合力量和技术进步,研究侧重于电动机,电机控制器,电池系统,储氢罐和燃料电池系统的潜在制造成本降低。通过使用详细的车辆性能和成本电子表格模型集成车辆分量成本函数来计算车辆制造和生命周期成本。车辆运行,基础设施开发和标准和温室气体排放的车队级成本使用作者开发的Matlab / Simulink模型计算。在这种区域规模,舰队级模型中,模糊集理论用于在关键输入变量中表征不确定性,并通过计算车辆,基础设施和排放成本来传播不确定性。

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