首页> 外文会议>IEEE Transportation Electrification Conference >Review and selection of advanced battery technologies for post 2020 era electric vehicles
【24h】

Review and selection of advanced battery technologies for post 2020 era electric vehicles

机译:发布2020年ERA电动车的高级电池技术审查和选择

获取原文

摘要

The Lithium-ion batteries, which are currently used in EVs do not sufficiently hold the energy for long driving ranges. Issues related to safety and performance are not totally alleviated. On the other hand, there is a tremendous pressure on the EV manufacturers to reduce the vehicle cost, without compromising the safety, performance and driving range. The EV companies are not able to reduce the vehicle price because of expensive batteries. This necessitated the further development of new battery technologies. There are advanced technologies like graphene, solid-state, and aluminum air batteries, which are being developed by OEMs, and universities across globe. But the challenge for the EV manufacturer is to select the best battery technology to help optimize the vehicle cost. In this work, a short review and a method to select the advanced battery technologies for the post 2020 era electric vehicle are presented. An MCDM (Multi-Criteria Decision Making) based WPM (Weighted Product Model) has been developed for the selection of best battery technology. This work includes review of all these batteries technologies, identifying a list of performance factors the determines the acceptability criteria for the battery selection. Subsequently, WPM is used to obtain the product of normalized weighted parameters that helps to rank the battery technology. The proposed methodology will help the EV OEMs to select best battery while reducing overall vehicle cost.
机译:目前在EVS中使用的锂离子电池不能充分地保持长驾驶范围的能量。与安全和表现有关的问题并不完全缓解。另一方面,在EV制造商上存在巨大压力,以降低车辆成本,而不会影响安全性,性能和驾驶范围。由于电池昂贵,EV公司无法降低车辆价格。这需要进一步开发新的电池技术。有石墨烯,固态和铝制空气电池等先进技术,由OEM和全球的大学开发。但EV制造商的挑战是选择最佳电池技术,以帮助优化车辆成本。在这项工作中,介绍了短暂的审查和选择术后2020年ERA电动车辆的先进电池技术的方法。已经开发了基于MCDM(多标准决策)的WPM(加权产品模型),用于选择最佳电池技术。这项工作包括审查所有这些电池技术,识别性能因素列表,确定电池选择的可接受性标准。随后,WPM用于获得标准化加权参数的乘积,有助于对电池技术进行排名。所提出的方法可以帮助EV OEM选择最佳电池,同时降低整体车辆成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号