Intelligent Lithium-Ion Battery State of Charge (SOC) Estimation Methods
1st Edition
Published on 27. November 2023
148 pages
978-1-5275-5309-5 (ISBN)
Description
To improve the accuracy and stability of power battery state of charge (SOC) estimation, this book proposes a SOC estimation method for power lithium batteries based on the fusion of deep learning and filtering algorithms. More specifically, the book proposes a SOC estimation method for Li-ion batteries using bi-directional long and short-term memory neural networks (BiLSTM), which overcomes the problem that long and short-term memory neural networks (LSTM) pose, because they can only learn in one direction, resulting in poor feature extraction and memory effect.The book provides some technical references for the design, matching, and application of power lithium-ion battery management systems, and contributes to the development of new energy technology applications.
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Shunli Wang | Yujie Wang | Dan Deng
Intelligent Lithium-Ion Battery State of Charge (SOC) Estimation Methods
Book
11/2023
Cambridge Scholars Publishing
€100.46
Shipment within 15-20 days
