1. Digital Grid Research Institute, China Southern Power Grid. Guangzhou, Guangdong 510670, China
2. Power Dispatching and Controlling Center of Guangdong Power Grid Company Limited, Guangzhou, Guangdong 510610, China
Abstract：In order to solve the problem of high battery redundancy and high charging cost in electric vehicle power station, based on edge calculation,the modeling and analysis of battery redundancy are studied. Combined with edge computing and cloud computing technology, an edge computing platform for analyzing the redundancy of electric vehicle battery is established. The edge node A is used to collect the electric vehicle electricity information, and the collected data is uploaded to the cloud platform. The cloud platform uses the electric vehicle battery charging optimization control model to analyze the edge node B associated with the electric vehicle battery redundancy, and solves the model using adaptive genetic algorithm to realize the optimization of battery charging. The experimental results show that the model can effectively analyze the battery redundancy of electric vehicle, and the monthly charging cost of the battery can be reduced by more than 13% when the model is applied to the electric vehicle exchange station.
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2023, Vol. 44 
