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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Product Details
Dimensions: 148 x 212mm
Publication Date: 01 Jan 2024
Publisher: Cambridge Scholars Publishing
Publication City/Country: United Kingdom
Language: English
ISBN13: 9781527553088
About Dan DengShunli WangYujie Wang
Shunli Wang is a professor at the Southwest University of Science and Technology China. He is an authoritative expert in the field of new energy research and Executive Deputy Director of NELab China. Yujie Wang is Associate Professor with the University of Science and Technology of Chinas Department of Automation. He received his PhD in control science and engineering from the University of Science and Technology of China. His research interests include energy-saving and new energy vehicle technology complex system modeling simulation and control fuel cell system management and optimal control.Dan Deng is a postgraduate student at Southwest University of Science and Technology China. Her research interests are new energy measurement and control vehicle energy management lithium-ion battery system modeling and state estimation strategy.Carlos Fernandez is Senior Lecturer at Robert Gordon University Scotland. He received his PhD in electrocatalytic reactions from the University of Hull UK where he became a consultant technologist. His research interests include analytical chemistry sensors and materials and renewable energy.Josep M. Guerrero is a full professor at Aalborg University Denmark where he is also the director of the Center for Research on Microgrids. His research focuses on different microgrid aspects including hierarchical and cooperative control and energy management systems.