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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 personnel, equipment, and evaluation in the mechanical system and electrical system. With one switching station as an example, through relevant empirical data simulation analysis it is concluded that the biggest influence of mechanical system safety from personnel, equipment and personnel have greater influence on the safety of electrical system.