基于灰色理论的电动汽车电池更换站安全评价

摘要

To improve the safety of EV battery replacement stations,grey correlation and grey entropy evaluation models are established based on normalized processing evaluation objects and the ideal object,and the system safety influence degree is evaluated according to different weights evaluation objects in the models.For the battery replacement stations safety evaluation,the safety assessment model is established through analyzing the influence factors of such as human beings,equipment,and evaluation in the mechanical system and electrical system.With one switching station as an example,through the relevant empirical data simulation analysis it is concluded that human beings have the biggest influence on the safety of the mechanical system while equipment and human beings have greater influence on the safety of electrical system.%为了提高电动汽车电池更换站安全性,通过对评价对象及理想对象归一化处理,建立灰色关联度及灰熵评价模型,根据模型中评价对象权重大小评价不同对象对系统安全的影响程度.对于电池更换站中安全评价过程,通过分析电池更换站机械系统和电气系统中存在的人员、设备、环境等评价对象以及各评价对象可能的影响因素,建立电池更换站安全评价模型.以某电池更换站为例,通过相关经验数据仿真分析得出,人员对机械系统安全影响最大,设备及人员对电气系统安全影响较大.