Yumin Liu
ABSTRACT
In recent years, the development of electric vehicles has been rapid nationwide, resulting in a strong demand for charging infrastructure. Ensuring orderly charging and providing real-time updates on the availability and utilization of charging stations along the upcoming driving routes, as well as determining efficient charging routes with high timeliness, are crucial challenges that need to be addressed. The cloud-based coordination of intelligent charging services plays a significant role in the integration and development of the intelligent automotive transportation industry. By utilizing cloud-based monitoring of charging station statuses, comprehensive analysis of vehicle navigation routes, and the practical application of intelligent advanced driver assistance systems, the paper aims to collectively solve the charging demand issue for electric vehicles during road travel. Building upon the foundation of vehicle-road-cloud coordination technology with deep learning methods, this paper proposes a novel "vehicle-road-electricity-cloud" framework for intelligent connected vehicles. The research findings presented in this paper contribute to the advancement of vehicle-road-cloud coordination technology in the field of intelligent connected vehicles, offering cost-effective road selection solutions.
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