Modeling for Capacity Fade in Lithium-ion Battery
Date Issued
2015
Date
2015
Author(s)
Yang, Meng-Sheng
Abstract
Lithium-ion batteries have been widely used in smart phones, lab top computers, electric tools, and electric vehicles. In comparison with lead-acid batteries, Lithium -ion batteries have the merits of high power density, high energy density, no memory effect, high working voltage, and wide temperature range in operation. While supplying an electric vehicle, Lithium-ion batteries are frequently challenged by fluctuating discharge/charge currents resulted from changes in load demand and regenerative braking. Under the vehicle environment, the cell plate, electrolyte, and separators of the battery may suffer from damage that eventually causes capacity fade to the battery. This thesis focuses on modeling the capacity fade of the Li-ion battery under the vehicle environment. A good capacity fade model can be used to predict the rest cycle life of the battery. The capacity fade model is basically a semi-empirical model whose adjustable parameters, called the damage factors, are induced from experimental data. The experimental data are obtained by testing the battery on discharge/charge cycles with features commonly found in supplying an electric vehicle. The relation between the damage factors and the features is found by the multiple regression analysis. When the damage factors are determined, the capacity fade model can give estimate to the rest cycle life of the battery. The effectiveness of the capacity fade model has been validated by the experimental data.
Subjects
Li-ion battery
capacity fade model
estimation of cycle life
SDGs
Type
thesis
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