摘要：With the continuous reduction of renewable resources and the increasing awareness of environmental protection, the phenomenon of replacing oil with electricity has become more and more common. Electric vehicles are an obvious example. In the past few years, electric vehicles have developed rapidly and become more and more popular in people’s lives. However, imperfect technology has caused frequent safety accidents. The main reason for this is the charging safety risk. In this paper, there are many complex factors affecting the charging safety of electric vehicles in terms of the safety of electric vehicle charging and the energy and data exchange direction between charging piles and electric vehicles. Based on the analysis of the factors that affect the charging safety of electric vehicles, this paper combines big data technology to study the charging safety of electric vehicles.
其他摘要：With the continuous reduction of renewable resources and the increasing awareness of environmental protection, the phenomenon of replacing oil with electricity has become more and more common. Electric vehicles are an obvious example. In the past few years, electric vehicles have developed rapidly and become more and more popular in people’s lives. However, imperfect technology has caused frequent safety accidents. The main reason for this is the charging safety risk. In this paper, there are many complex factors affecting the charging safety of electric vehicles in terms of the safety of electric vehicle charging and the energy and data exchange direction between charging piles and electric vehicles. Based on the analysis of the factors that affect the charging safety of electric vehicles, this paper combines big data technology to study the charging safety of electric vehicles.
