In order to reduce carbon emissions and achieve the strategic goal of carbon neutrality, China is vigorously developing the electric vehicle industry, and the manufacturing technology and quantity of electric vehicles have achieved historic breakthroughs. With the explosive growth of the number of electric vehicles in China, the charging frequency of electric vehicles in a certain region is also increasing during the outbreak, leading to a continuous increase in charging faults of electric vehicles. In order to reduce charging faults, this article takes the intelligent diagnosis of electric vehicle charging circuits as the research object. Firstly, the classification of electric vehicle charging faults is established. Based on the fault classification, the charging and discharging process model of electric vehicle power batteries and the fault models of some typical circuits are established. Then, the existing fault data is used as the dataset, and an improved whale algorithm is used to diagnose the collected fault data. Finally, simulation software is used to verify the accuracy and diagnostic speed of the proposed method in the fault diagnosis process. The method in this article meets the design expectations.
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