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Smart Safety Management of Energy Storage Batteries cover

Smart Safety Management of Energy Storage Batteries

by Shunli Wang, Yanxin Xie, Guangchen Liu, Qi Huang, Yujie Wang, Gexiang Zhang, Carlos Fernandez

1st Edition

Publisher: Elsevier

(0 reviews)
Technology & EngineeringElectrical Engineering

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Book Details

Print ISBN9780443275784
eText ISBN9780443275791
PublisherElsevier
Publishing Year2026
Edition1st Edition
LanguageEnglish
Pages510

Smart Safety Management of Energy Storage Batteries, 1st Edition, presents a technical reference on energy storage battery management within contemporary power systems. Written for researchers, practicing engineers, and academic students, this publication outlines structural frameworks for power system identification modeling and key monitoring technologies across modern battery storage installations.

The text systematically examines battery equivalent modeling, incorporating electrical circuit modeling and parameter identification theory alongside intelligent battery status evaluation. Dedicated sections detail state estimation methodologies, covering state of charge (SOC) estimation, state of health (SOH) estimation, and integrated SOC and SOH co-estimation techniques.

A defining technical feature of the volume is its detailed treatment of intelligent balancing management for new power storage batteries. The work supports technical reference requirements and course applications across control science, automation, system design, and electrical engineering programs.

Table of Contents

  1. Chapter 1: Introduction

  2. Chapter 2: Power Storage Battery Testing

  3. Chapter 3: Smart Energy Modeling Analysis

  4. Chapter 4: Intelligent Core Algorithm for Predicting the State of Energy Storage Batteries

  5. Chapter 5: SOC Estimation of Energy Storage Battery Based on LSTM Neural Network

  6. Chapter 6: Data-driven SOH Estimation for Energy Storage Battery Clusters

  7. Chapter 7: Battery Peak Power Eestimation Based on Long and Short Term Memory Networks

  8. Chapter 8: Design and Optimization of Energy State Assessment Algorithms for Energy Storage Batteries

  9. Chapter 9: Improved Firefly Optimized Method for Lithium-ion Batteries of the Co-Estimation of SOC and SOH

  10. Chapter 10: Joint Estimation of SOC and SOP for Lithium-ion Battery Based on H∞ Filtering

  11. Chapter 11: Battery RUL Prediction Based on Multicore Correlation Vector Machine

  12. Chapter 12: Intelligent Balancing Management of New Power Storage Batteries

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  • Battery Safety Summit | August 12-13, 2026 - Cambridge Enertech
  • Smart Safety Management of Energy Storage Batteries - Amazon.sg

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