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Evolution of U.S. Department of Energy Battery Performance Targets For Electrified Vehicles

机译:电气电池电池效能仪表的演变

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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 from U.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-VTO Benefits and Scenario Analysis (BaSce). This paper 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(美国DOE-VTO)正在开发更节能和环保的公路运输技术,使美国能够在道路上燃烧更少的石油。 VTO通过与国家实验室和工业合作改善电池和电动驱动系统来支持各种工作来降低电气化车辆的成本和便利性。系统仿真是一种可接受的方法,可以评估来自美国DOE-VTO的先进(未来)电池技术目标的潜力。基于这些目标的车辆系统仿真模型已经在自动激励中生成,以反映六个不同时间范围的不同EPA分类:2010,2015,2020,2025,2030和2045,作为DOE-VTO福利和情景分析的一部分(Basce)。本文将提出一种基于大规模模拟过程的方法,其中通过实现由美国DOE-VTO设定的电池技术进步目标来实现在一系列时间帧的不同EPA车辆分类上的标准调节驾驶循环。所有车辆都以平等的约束为大小,以确保技术目标的影响。分析的目标是提供与电池相关的关键数据和趋势;电气化车辆(XEV)中的关键部件之一。兴趣的主要方面包括,但不限于:电源要求,能源要求,重量和成本。本文将如何评估这些维度如何随着时间的推移而过度地看,跨越车辆平台和不同的动力总成选项。本文进一步提供了对市场电气化车辆中观察到的不同电池趋势线的分析。

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