A Review of Research on Orderly Charging Strategies for Electric Vehicles Based on Reinforcement Learning
This paper delves into the potential of reinforcement learning in the field of orderly charging for electric vehicles,and thoroughly examines the current state of research and existing challenges. The article firstly elaborates on the background and significance of orderly charging for electric vehicles,and deeply analyzes the limitations of traditional charging strategies,thereby highlighting the superiority and potential of reinforcement learning methods. Next,it discusses in detail the application of reinforcement learning in orderly charging for electric vehicles,including key issues such as state space parameters,action selection strategies,and reward function design. A comprehensive review of related literature and research achievements summarizes the results and challenges faced by reinforcement learning in the field of orderly charging for electric vehicles,and points out the direction and development trend of future research. Finally,a series of questions and possible solutions that future research can focus on are proposed,aiming to provide new perspectives and insights for research and practice in the field of orderly charging for electric vehicles.
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