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Abstract Under the premise that the remaining electricity is sufficient, the path planning problem of electric vehicles to the target
charging pile is the key to the optimization of charging strategies. Normally, when the system is recommended to the user, the sys-
tem will make some or a few road sections which have been recommended to different users many times. When a large number of us-
ers choose overlapping road sections, they will reduce the current recommendation. The traffic capacity of the road segment makes
these charging paths into optimal paths only in a mathematical sense, resulting in local optimization issues. This paper proposes a
global path planning method based on load balancing, takes into account the degree of congestion of the section and the user's driv-
ing time, to suggest the user a shorter and smooth charging path. Finally, through the simulation experiment, the short-time predic-
tion of the traffic flow can reduce the average waiting time of the charging queuing, and the global optimal charging path method
based on load balancing can improve the utilization of charging piles and avoid traffic congestion issues.
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Published: 24 February 2021
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