Optimal charging of lithium-ion batteries based on lithium precipitation suppression

With the development of the times, lithium-ion batteries have gradually become the main power source for new energy electric vehicles. The development of new energy electric vehicle charging technology cannot be separated from the progress of lithium-ion battery charging technology. Due to the secondary reaction of lithium precipitation during the lithium-ion battery charging process, there is a higher demand for lithium-ion battery charging strategies. This paper introduces an optimized charging method for suppressing lithium precipitation based on the second-order RC equivalent circuit model of lithium-ion batteries. An adaptability function is established to determine the lithium precipitation suppression value and temperature increase value, and the particle swarm algorithm is used to optimize the current value for each charging stage. The effectiveness of this charging method based on the particle swarm algorithm is verified through contrasted simulations with the method of suppressing lithium precipitation at 20 °C in MATLAB/Simulink, which proves its efficiency and superiority.