
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
Book Details
| Print ISBN | 9780443275784 |
| eText ISBN | 9780443275791 |
| Publisher | Elsevier |
| Publishing Year | 2026 |
| Edition | 1st Edition |
| Language | English |
| Pages | 510 |
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
Chapter 1: Introduction
Chapter 2: Power Storage Battery Testing
Chapter 3: Smart Energy Modeling Analysis
Chapter 4: Intelligent Core Algorithm for Predicting the State of Energy Storage Batteries
Chapter 5: SOC Estimation of Energy Storage Battery Based on LSTM Neural Network
Chapter 6: Data-driven SOH Estimation for Energy Storage Battery Clusters
Chapter 7: Battery Peak Power Eestimation Based on Long and Short Term Memory Networks
Chapter 8: Design and Optimization of Energy State Assessment Algorithms for Energy Storage Batteries
Chapter 9: Improved Firefly Optimized Method for Lithium-ion Batteries of the Co-Estimation of SOC and SOH
Chapter 10: Joint Estimation of SOC and SOP for Lithium-ion Battery Based on H∞ Filtering
Chapter 11: Battery RUL Prediction Based on Multicore Correlation Vector Machine
Chapter 12: Intelligent Balancing Management of New Power Storage Batteries
Customer Reviews
0.0
0 reviews
No reviews yet. Be the first to review this book!
Write a Review
Reviewed by GradeFocus Editorial Team
▶Research Sources (15)
- (PDF) Smart Safety Management of Energy Storage Batteries- ...
- Smart Safety Management of Energy Storage Batteries
- Smart Safety Management of Energy Storage Batteries
- Smart Safety Management of Energy Storage Batteries
- Please verify you are human - Captcha
- Smart Safety Management of Energy Storage Batteries
- Smart Safety Management of Energy Storage Batteries
- Psychology & Personal Growth Archives
- Book-Smart Safety Management of Energy Storage Batteries
- Battery Energy Storage Safety Resource Library
- Smart Safety Management of Energy Storage Batteries - Kobo
- Battery Energy Storage System Safety: How to Ensure Secure ...
- [PDF] Chapter 15 Energy Storage Management Systems
- Battery Safety Summit | August 12-13, 2026 - Cambridge Enertech
- Smart Safety Management of Energy Storage Batteries - Amazon.sg
Related Books

Machining Fundamentals
John R. Walker

Fundamentals of Thermal Fluid Sciences
Yunus A. Cengel

Modern Automotive Technology
James E. Duffy

Engineering Mechanics: Dynamics
Russell C. Hibbeler

Introduction to Fire Protection and Emergency Services
Robert Klinoff

Introduction to Fire Protection and Emergency Services
Robert Klinoff