An optimization method for electric vehicle charging scheduling based on simulated annealing algorithm
A simulated annealing algorithm, a technology for electric vehicles, applied in electric vehicle charging technology, electric vehicles, charging stations, etc., can solve problems such as unreasonable configuration of charging facilities, long charging time, and inability to continue driving long distances, and achieve scheduling optimization. problems, the effect of reducing computational time, and reducing computational complexity
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[0069] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0070] refer to figure 1 and figure 2 , a method for optimizing charging scheduling of electric vehicles based on simulated annealing algorithm, in other words, using simulated annealing algorithm to optimize the charging scheduling of electric vehicles. The present invention is based on a simplified road network model (such as figure 1 As shown), path selection is performed by simulated annealing algorithm, and finally the optimal path for charging is provided. The invention is aimed at electric vehicles that are in urgent need of charging. Aiming at the energy of the remaining battery of the electric vehicle, the state information of the electric vehicle, and the road congestion in the road network model, a simulated annealing algorithm is proposed to obtain the optimal charging station and charging path. The scheduling optimization method includes the ...
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