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Lithium batteries are an indispensable source of energy for people’s livelihood and industry. For example, mobile phones, tablets, computers, medical care, smart watches, drones, robots, electric vehicles, etc., all need to use this product. At present, due to the oil crisis on the earth The reserves of extractable oil are getting less and less, and no matter how to improve the burning of oil, there will be greenhouse effect and air pollution problems. Therefore, in terms of vehicles, there is an urgent need to develop electric vehicle technology to deal with the oil problem, and the biggest problem with electric vehicles is that the battery life is currently insufficient compared with traditional gasoline vehicles. In recent years, scientists in science and technology materials have just discovered a graphene material that can improve battery optimization. Its resistivity is only about 10-6 Ω·cm, which is lower than copper or silver. It is currently the world’s smallest resistivity material. Because there are many variation parameters in a lithium battery that is assembled and manufactured, if various parameter combinations are required to test and manufacture, it may be time-consuming and uneconomical. Therefore, this study uses the Taguchi method L9 orthogonal table for graphene addition percentage Optimization with other key parameters, the purpose is to find the lithium battery parameters with the smallest internal resistance, the highest capacity, and the best Coulomb effect in the most cost-effective way and the least experimental group, and consider the gray correlation multi-parameter analysis The optimization of lithium batteries is expected to be used as a model and reference sample for optimizing the endurance of large batteries in the future with the improvement of the small battery model.
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