Real-time State of Energy (SOE) estimation is crucial for lithium-ion battery safety and predicting the driving range of electric vehicles. This book details an optimized algorithm combining a fuzzy controller and a Kalman filter for fast, accurate, and robust SOE estimation.
Josep M. Guerrero
Author's books
Intelligent Lithium-Ion Battery State of Charge (SOC) Estimation Methods
This book proposes a method for estimating lithium battery state of charge (SOC) by fusing deep learning and filtering algorithms. It uses BiLSTM neural networks to overcome the limitations of standard LSTM, resulting in improved feature extraction and greater accuracy.
Neural Network-Based State-of-Charge and State-of-Health Estimation
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.
Online Monitoring and Fault Diagnosis of Novel Power Energy Storage Equipment
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.