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Lithium ion battery as a kind of new energy is a promising energy storage medium for electric and hybrid electric vehicles with their characteristics of lightness and high energy density. However, some accidents about battery fire or explosion remind us to focus on their reliability and safety issues. Thus, life prediction as the essential part should be considered during the design phrase of batteries...
Aimed to improve accuracy rate and time advance of the Anode Effect (AE) prediction in aluminum electrolysis cell, a new prediction method by means of the Generalized Regression Neural Network (GRNN) is proposed. The structure and advantages of the GRNN are introduced, then modeling the anode effect system of aluminum electrolysis cell by means of system identification based on the GRNN. The structure...
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