Influence of Electric Vehicle's Participation in Power Grid Peak Regulation on Battery Health

With the increasingly serious problems of energy shortage and environmental pollution, people pay more and more attention to the development of new energy vehicles, energy storage power stations, power grids and other fields. Due to their excellent portability, high energy density, long service life and low self-discharge rate, lithium-ion batteries have become an important choice for ensuring energy security in various fields. Due to their energy storage function and strong mobility, electric vehicles can be used for peak shaving and valley filling in the current power grid. The health status of lithium batteries is very important for judging the aging of lithium batteries, and the health status of lithium-ion batteries of electric vehicles will also change in the process of participating in power grid interconnection. Therefore, accurately and quickly assessing their health condition has important practical significance. In this paper, a peak-shaving model based on Monte Carlo is established to demonstrate the feasibility of electric vehicles participating in the peak-shaving of power grid. 18650 lithium battery is selected as the research object, and a direct measurement method, namely aging cycle experiment, is used to analyze the aging index of lithium battery to get the real data, and then SOH estimation method based on fusion model is used to predict. Finally, the experimental results and errors are analyzed to draw the corresponding conclusions.