This book presents a groundbreaking approach to estimating the state of charge (SOC) of lithium-ion batteries. This method combines neural networks and Kalman filtering to enhance accuracy and adapt to battery aging, paving the way for improved battery management systems.
Qi Huang
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Neural Network-Based State-of-Charge and State-of-Health Estimation
By: Qi Huang, Shunli Wang , Yujie Wang, Chao Wang, Carlos Fernandez, Josep M. Guerrero
This book focuses on the co-estimation strategies of State-of-Charge (SOC) and State-of-Health (SOH) for lithium-ion batteries. It proposes a collaborative optimization strategy based on neural networks, providing technical references for scholars and engineers.
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Online Monitoring and Fault Diagnosis of Novel Power Energy Storage Equipment
By: Wang Shunli, Qi Huang, Lei Zhou, Guangchen Liu, Carlos Fernandez, Josep M. Guerrero
This book covers core estimation methods, intelligent condition assessment, and management for energy storage systems. It provides a theoretical foundation and practical guide with rich examples for researchers and practitioners seeking to innovate in the field.
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