Edge Computing Unloading Technology Based on Electric Vehicle Charging Pile
Xue Lin, Tianyu Zhang, Kang Wang, Chaochao Han, Jia Binyu, Lidong Zhou, Kaifeng Zhou · 2023
With the rapid development of the new energy vehicle industry, more and more people choose electric vehicles as their means of travel, and the corresponding computing tasks are also increasing. The functions derived from it are also becoming more and more complex, such as the very popular augmented reality, driverless and other emerging technologies in recent years. For this reason, edge computing unloading technology is introduced into the Internet of Vehicles, which sinks the pressure of vehicle computing to the edge network of charging piles. Vehicle tasks are unloaded to the nearby charging pile server, improving vehicle computing capacity and reducing computing costs. To sum up, in order to solve the huge problem of vehicle task calculation and reduce the cost of charging piles, this paper proposes a edge computing unloading strategy based on electric vehicle charging piles.Set the server in the electric vehicle charging pile to meet the calculation task delay requirements of vehicles near the charging pile. The experimental results show that the edge computing unloading strategy based on the EV charging pile can increase the task delay by more than 31.7% compared with the vehicle itself.