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Performance of U.S. Department of Energy Targets on Battery Specifications for Electrified Vehicles

机译:美国能源部针对电动车辆电池规格的性能指标

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The U.S. Department of Energy, Vehicle Technologies Office (U.S. DOE-VTO) is developing more energy- efficient and environmentally friendly highway transportation technologies that would enable the United States to burn less petroleum on the road. The VTO supports a variety of work to lower the cost and convenience of electrified vehicles by collaborating with national laboratories and industry to improve batteries and electric drive systems. System simulation is an accepted approach to evaluate the potential of advanced (future) battery technology targets fromU.S. DOE-VTO. Vehicle system simulation models based on these targets have been generated in Autonomie, to reflect the different EPA classifications of vehicles for six different timeframes: 2010, 2015, 2020, 2025, 2030, and 2045 as part of the DOE Benefits and Scenario Analysis (BaSce).This poster will present an approach based on a large-scale simulation process where simulations are performed over standard regulatory driving cycles for the different EPA vehicle classifications over a range of timeframes by implementing the battery technology advancement targets set by the U.S. DOE-VTO. All the vehicles are sized with equal constraints to ensure the impact of technology targets solely. The goal of the analysis is to provide key figures and trends related to battery; one of the key components in electrified vehicles (xEVs). The main dimensions of interest include, but are not limited to: power requirements, energy requirements, weight and cost. The paper will evaluate at how these dimensions look over time, across vehicle platforms and different powertrain options. The paper will further provide analysis of the different battery trend lines observed in electrified vehicles in the market.
机译:美国能源部车辆技术办公室(U.S. DOE-VTO)正在开发更加节能和环保的公路运输技术,这将使美国在道路上燃烧更少的石油。 VTO通过与国家实验室和行业合作改善电池和电力驱动系统,支持各种工作以降低电动汽车的成本和便利性。系统仿真是评估美国先进(未来)电池技术目标潜力的一种公认方法。美国能源部。在Autonomie中已生成基于这些目标的车辆系统仿真模型,以反映6种不同时间段(2010、2015、2020、2025、2030和2045)的不同EPA车辆分类,作为DOE收益和情景分析(BaSce)的一部分。 )。这张海报将展示一种基于大规模仿真过程的方法,其中将通过实施美国DOE-VTO设定的电池技术先进目标,在不同的时间范围内针对不同EPA车辆类别的标准法规驾驶周期进行仿真。所有车辆的尺寸均受到相同的约束,以确保仅实现技术目标的影响。分析的目的是提供与电池有关的关键数据和趋势;电动汽车(xEV)的关键组件之一。感兴趣的主要方面包括但不限于:功率需求,能量需求,重量和成本。本文将评估这些尺寸在车辆平台和不同动力总成选项之间的变化情况。本文将进一步分析市场上电动汽车中观察到的不同电池趋势线。

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