Research on the Prediction of Nickel-metal Hydride Battery Capacity based on Artificial Intelligence Algorithm

• Main Author: Yuhong Du
• Format: Article
• Language: English
• Published: AIDIC Servizi S.r.l. 2017-07-01
• Series: Chemical Engineering Transactions
• Online Access: https://www.cetjournal.it/index.php/cet/article/view/1160

With the development of the modern society, nickel metal hydride battery has been paid attention to by scholars and manufacturers. Nickel metal hydride battery is an ideal power source for hybrid electric vehicles due to its high specific energy, high specific power and zero pollution. At the same time, the research on the prediction of nickel metal hydride battery capacity has become the focus of scholars and manufacturers. As an important artificial intelligence algorithm, the neural network algorithm has attracted the attention of scholars. In this paper, we put forward the improved BP neural network prediction algorithm in order to study the prediction of nickel metal hydride battery capacity. In the end, the improved BP neural network is used to predict the of nickel metal hydride battery capacity. After the experiment, we find that the improved method has good prediction accuracy.