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arXiv 1606.06347cond-mat.mtrl-sci
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比较锂离子、锂硫和锂空气电池对当前和未来车辆应用的适用性

Comparing the suitability of Lithium ion, Lithium Sulfur and Lithium air batteries for current and future vehicular applications

Gorazd Lampic, Gorazd Gotovac, Hugh Geaney, Colm O'Dwyer

摘要:

在本报告中,对各种车辆应用的电池的未来性能需求进行了建模。从电动自行车到重型卡车,各种尺寸的车辆都使用驾驶循环数据进行评估,这些数据允许计算关键性能参数,如所需的里程(km),电池的比能量(Wh/Kg),循环寿命要求和单位容量的预期价格(Euro/kWh)。将这些预计的性能要求与三种现有锂离子电池(即(a)Kokam高比能量源,(b)A123高功率能量源和(c)Winston低成本系统)的输出进行比较。理论上,目前的最先进的和预计的性能参数为“超越锂离子”技术(锂硫和锂氧)也比较了建模电池的性能需求。分析表明,目前的电池技术不太可能满足未来在所需比能量方面的要求,并且可能过于昂贵。相比之下,完全实现的锂离子替代品可以为所检查的所有车辆提供所需的比能量。然而,这些系统的规模扩大是一个艰巨的挑战,其成功实施将取决于循环寿命,电极和电解质稳定性,倍率性能和实际电池架构的发展方面的改进。

英文摘要:

In this report, future performance demands of batteries for various vehicular applications are modeled. Vehicles ranging in size from electric bikes to heavy trucks are assessed using driving cycle data which allows key performance parameters such as desired range (km), specific energy of the battery (Wh/Kg), cycle life requirement and expected price per unit capacity (Euro/kWh) to be calculated. These projected performance requirements are compared with the outputs for three existing Li-ion batteries (namely (a) Kokam based high specific energy source (b) A123 based high power energy source and (c) Winston low cost system). The theoretical, current state of the art and projected performance parameters for 'beyond Li-ion' technologies (Li-S and Li-O2) are also compared to the modeled battery performance demands. The analysis indicates that current battery technologies are unlikely to meet future requirements in terms of required specific energies and will likely be too costly. In comparison, fully realized beyond Li-ion alternatives may deliver the required specific energy for the full range of vehicles examined. However, scale-up of these systems is a daunting challenge and their successful implementation will depend on improvements in terms of cycle life, electrode and electrolyte stability, rate performance and development of practical battery architectures.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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