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Battery Optimisation in Electric Vehicles and Range Extended Electric Vehicles Based on Measured Individual Operational Profiles

机译:基于测量的各个操作型材的电动汽车和范围扩展电动汽车的电池优化

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摘要

Today's high battery costs are considered one of the major obstacles to the widespread deployment of electric mobility. Thus, the reduction of battery size in order to reduce vehicle costs is an important issue in the development of battery electric vehicles (BEVs). On the other hand, the range of today's BEVs is seen as still insufficient for the private sector to use these vehicles on a large scale. The knowledge of the individual operational profiles and the use of simulation tools could help to identify the specific customer needs with regard to battery size. The transport sector with its clearly defined and constant operational profiles offers the opportunity to identify the required energy content. This paper aims to outline an approach designed for battery optimisation relying on a measurement technique with a small autarkic GPS data logging system, which has been developed at the Department of Automotive Engineering of the Technische Universitat Berlin. The device called "veLOG" delivers not only the velocity profiles to calculate the energy requirement but also data on the car's position in order to establish a charging infrastructure in locations convenient for both user and power authorities. Based on different scenarios with regard to charging strategies and involving automotive solutions such as the range extender, battery optimisation can be achieved by means of a reduction in energy content.
机译:今天的高电量成本被认为是广泛部署电动流动性的主要障碍之一。因此,减少电池尺寸以降低车辆成本是电池电动车辆(BEV)的发展中的一个重要问题。另一方面,今天的BEV的范围被视为私营部门仍然不足以在大规模上使用这些车辆。各个操作简介的知识和使用仿真工具的使用可以有助于确定电池大小的特定客户需求。运输部门具有明确定义和恒定的运营配置文件,提供了确定所需的能量内容的机会。本文旨在概述一种专为电池优化而设计的方法,依赖于具有小型自动高速GPS数据测井系统的测量技术,该系统已经在Technische Univeritat柏林汽车工程系中开发。称为“Velog”的设备不仅提供了计算能源需求的速度配置文件,还提供了汽车位置的数据,以便在方便的用户和电力当局在方便的位置建立充电基础设施。基于不同方案,关于充电策略以及涉及诸如范围扩展器的汽车解决方案,可以通过减少能量内容来实现电池优化。

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