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Detailed information of the capacity fade mechanisms can be very beneficial for the prognostics and health management (PHM) study of lithium-ion batteries. This paper reports a novel capacity fade analysis method. The parameter degradation of multi-physics model is achieved, and the three main factors of capacity fade is quantitatively calculated by using the obtained parameters. The results show...
A multi-objective parameter identification method for modeling of Li-ion battery performance is presented. Terminal voltage and surface temperature curves at 15 °C and 30 °C are used as four identification objectives. The Pareto fronts of two types of Li-ion battery are obtained using the modified multi-objective genetic algorithm NSGA-II and the final identification results are selected using the...
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