The exhaustive nature of fossil fuels and environmental concerns associated with greenhouse gases are the major causes of the paradigm shift from conventional vehicles to electric vehicles (EVs). The electrification of the transportation sector and the increasing popularity of the EVs have driven scientists and researchers to delve into charging stations. Underdeveloped charging infrastructure, optimal placement of charging stations, and charge scheduling in the charging stations are the major concerns for the large‐scale deployment of EVs. Even few questions related to EVs, such as the vehicle price and driving range, can be partially solved with a well‐developed charging infrastructure. Existing old infrastructure may bring severe limitations in the realization of the optimal placement of charging stations as EVs have not existed when the road and grid infrastructure have been developed. For the past few years, the studies associated with the optimal placement and sizing of EV charging stations have drawn the consideration of the researchers. The researchers have used different approaches, objective functions, and applied different optimization algorithms while dealing with the problem of charging station placement. The complex and dynamic nature of the problem has led researchers to apply different optimization algorithms for the solution of the problem. In this particular review study, the research works bearing on the charging infrastructure planning for the EVs are considered. Thus, this review work will endow the research community with the latest developments and research findings in the paradigm of charging infrastructure planning for EVs.

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回顾电动汽车充电基础设施规划的最新趋势

化石燃料的穷举性和与温室气体有关的环境问题是范式从传统汽车向电动汽车（EV）转变的主要原因。运输业的电气化和电动汽车的日益普及，驱使科学家和研究人员深入充电站。充电基础设施欠发达，充电站的最佳布局以及充电站中的充电调度是电动汽车大规模部署的主要考虑因素。完善的充电基础设施甚至可以部分解决与电动汽车有关的问题，例如车辆价格和行驶里程。现有的旧基础设施可能会在实现充电站的最佳位置方面带来严重的限制，因为在开发道路和电网基础设施时尚不存在电动汽车。在过去的几年中，与电动汽车充电站的最佳放置和尺寸相关的研究引起了研究人员的考虑。研究人员在处理充电站放置问题时使用了不同的方法，目标函数并应用了不同的优化算法。问题的复杂性和动态性导致研究人员应用不同的优化算法来解决问题。在这项特殊的回顾研究中，考虑了有关电动汽车充电基础设施规划的研究工作。从而，