Abstract Plug-in Hybrid Electric Vehicles (PHEV) have been promoted by providing Vehicle-to-Grid (V2G) infrastructure as a possible solution to reduce greenhouse gas (GHG) and other emissions by utilizing energy instead of oil for effective environmental management. The promising solution for reducing air pollution in cities is commonly regarded as electric vehicles, which helps to optimize the environment management more effectively, as a key to future low carbon mobility. However, their environmental benefits rely on the temporal and spatial sense of real use, and challenges such as limited range complicated for the rollout of an Electric Vehicle (EVs). This paper investigates the environmental carbon pollution in cities and control preventions using Plug-in Hybrid Electric Vehicles (PHEV). Further, the Artificial intelligence model has been introduced, which defines optimal automobile designs and the assignment of vehicles to drivers across a variety of scenarios, including minimum net life cycle expense, GHG emissions, and oil usage for effective environmental management. By designing overspent vehicle power for corresponding output, weight, and cost impact, the life cycle costs and the emission of GHG are reduced utilizing high battery swinging and replacing batteries as needed. Moreover, energy consumption (EC) and pollution have been greatly influenced by the use of energy sources in the environment. The significant energy consumption and pollution variables resulted in a large proportion of coal-fired energy. The results show that the PHEV can achieve better fuel economy by combining the proposed model with an allowable deviation from the state of the charge.

中文翻译：

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混合动力和插电式电动汽车的环境碳污染控制技术创新

摘要 插电式混合动力电动汽车 (PHEV) 已通过提供车辆到电网 (V2G) 基础设施作为一种可能的解决方案得到推广，即通过利用能源代替石油进行有效的环境管理来减少温室气体 (GHG) 和其他排放。减少城市空气污染的有前景的解决方案通常被认为是电动汽车，它有助于更​​有效地优化环境管理，是未来低碳出行的关键。然而，它们的环境效益取决于实际使用的时间和空间感，以及电动汽车 (EV) 推出复杂的有限范围等挑战。本文以插电式混合动力汽车（PHEV）为研究对象，研究城市环境碳污染及防治措施。更多，引入了人工智能模型，该模型定义了最佳汽车设计，并在各种场景中为驾驶员分配车辆，包括最低净生命周期费用、温室气体排放和石油使用，以实现有效的环境管理。通过针对相应的输出、重量和成本影响设计超支的车辆动力，利用高电池摆动和根据需要更换电池来降低生命周期成本和温室气体排放。此外，能源消耗（EC）和污染在很大程度上受到环境中能源使用的影响。显着的能源消耗和污染变量导致燃煤能源占比较大。