Smart Safety Management of Energy Storage Batteries
- 1st Edition - December 1, 2025
- Authors: Shunli Wang, Yanxin Xie, Guangchen Liu, Qi Huang, Yujie Wang, Gexiang Zhang, Carlos Fernandez
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 7 5 7 8 - 4
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 7 5 7 9 - 1
Smart Safety Management of Energy Storage Batteries addresses battery management in new power systems which is an important component of the new generation of information techno… Read more
Smart Safety Management of Energy Storage Batteries addresses battery management in new power systems which is an important component of the new generation of information technology and power systems. This book covers the application of this new type of power storage as well as power system identification modeling, intelligent energy storage battery status evaluation, and key technologies in intelligent management monitoring. Written for researchers, engineers, and students studying related areas, this book supports research in control science and control, automation, and electrical engineering, and serves as a technical reference for the application of new electric energy storage battery science and technology.
- Contains technical references for system design and application
- Addresses battery equivalent modeling, including electrical circuit modeling and parameter identification theory
- Includes coverage of battery state estimation methods such as state of charge estimation, state of health estimation, and state-of-charge and state-of-health co-estimation
Researchers, engineers, and students studying related areas
1. Introduction
2. Power Storage Battery Testing
3. Smart Energy Modeling Analysis
4. Intelligent Core Algorithm for Predicting the State of Energy Storage Batteries
5. SOC Estimation of Energy Storage Battery Based on LSTM Neural Network
6. Data-driven SOH Estimation for Energy Storage Battery Clusters
7. Battery Peak Power Eestimation Based on Long and Short Term Memory Networks
8. Design and Optimization of Energy State Assessment Algorithms for Energy Storage Batteries
9. Improved Firefly Optimized Method for Lithium-ion Batteries of the Co-Estimation of SOC and SOH
10. Joint Estimation of SOC and SOP for Lithium-ion Battery Based on H∞ Filtering
11. Battery RUL Prediction Based on Multicore Correlation Vector Machine
12. Intelligent Balancing Management of New Power Storage Batteries
2. Power Storage Battery Testing
3. Smart Energy Modeling Analysis
4. Intelligent Core Algorithm for Predicting the State of Energy Storage Batteries
5. SOC Estimation of Energy Storage Battery Based on LSTM Neural Network
6. Data-driven SOH Estimation for Energy Storage Battery Clusters
7. Battery Peak Power Eestimation Based on Long and Short Term Memory Networks
8. Design and Optimization of Energy State Assessment Algorithms for Energy Storage Batteries
9. Improved Firefly Optimized Method for Lithium-ion Batteries of the Co-Estimation of SOC and SOH
10. Joint Estimation of SOC and SOP for Lithium-ion Battery Based on H∞ Filtering
11. Battery RUL Prediction Based on Multicore Correlation Vector Machine
12. Intelligent Balancing Management of New Power Storage Batteries
- Edition: 1
- Published: December 1, 2025
- Language: English
SW
Shunli 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. He is the head of DTlab, modeling, and state estimation strategy research for lithium-ion batteries. He has undertaken more than 40 projects and 30 patents, published more than 100 research papers as well as won 20 awards such as the Young Scholar, and Science & Technology Progress Awards.
Affiliations and expertise
Southwest University of Science and Technology, ChinaYX
Yanxin Xie
Yanxin Xie is a PhD student of Southwest University of Science and Technology, China. Her research direction is new energy measurement and control, and she has long been engaged in modeling, and state estimation strategy research for lithium-ion batteries. She has published 4 papers, applied for 6 intellectual property rights, granted 4 authorizations, participated in 6 projects, won 1 national scholarship, 1 first-class scholarship, and 1 second-class scholarship.
Affiliations and expertise
PhD Student, Southwest University of Science and Technology, ChinaGL
Guangchen Liu
Guangchen Liu, Professor at Inner Mongolia University of Technology. Mainly engaged in teaching and research work in the fields of new energy generation and energy storage, power electronics, and power transmission. Hosted multiple projects such as the National Natural Science Foundation, Inner Mongolia Science and Technology Major Special Project, and Inner Mongolia Science and Technology Plan, published over 70 academic papers, and authored 3 monographs/textbooks. The research achievements are mainly used to solve the problem of high-quality power supply in remote areas.
Affiliations and expertise
Professor, Inner Mongolia University of Technology, ChinaQH
Qi Huang
Huang Qi is a professor and doctoral supervisor, IEEE Fellow, IETF fellow, expert enjoying special government allowance of the State Council, candidate of New Century Excellent Talents Support Program of Ministry of Education, academic and technical leader of Sichuan Province, head of Youth Science and Technology Innovation Team of Sichuan Province, candidate of "Tianfu Qingcheng Innovation Leading Talents Program" of Sichuan Province. His main research fields are: new power energy systems, science and technology innovation strategy, and development planning etc. He has undertaken more than 20 national and provincial projects such as National Key R & D Plan and National Natural Science Foundation, and won 1 China Patent Excellence Award, 1 First Prize of China Instrument Society, 1 First Prize/Second Prize of Sichuan Province Science and Technology Progress Award, and 1 Second Prize of Excellent Scientific and Technological Achievements of Ministry of Education. He has published more than 300 academic papers, including more than 200 SCI papers, published 5 monographs, including 2 Wiley-IEEE monographs, applied for more than 100 patents, and obtained more than 80 authorized national invention patents and 2 US patents. He served as a member of the Expert Group on Science and Technology Innovation Planning in the Energy Field of the 13th Five-Year Plan of the Ministry of Science and Technology, the leader of the Expert Group on the 14th Five-Year Plan in the Energy and Chemical Industry Field of Sichuan Province, the convener of the 13th Five-Year Plan in the New Energy Field of Sichuan Province, and the leader of the Expert Group on "Clean Energy" in the "5+1" Modern Industrial System of Sichuan Province. He served as the chairman of several high-level international conferences, such as the 2019 IEEPES Innovative Smart Grid Technology and the 2022 IEEEI 2.
Affiliations and expertise
President of Strategy Institute, China Academy of Science and Technology for DevelopmentYW
Yujie Wang
Yujie Wang is an associate professor at the Department of Automation, University of Science and Technology of China. His research interests include new energy vehicle technology, battery safety management, digital twin and AI application in energy system. He received his Ph.D. degree in Control science and engineering from the University of Science and Technology of China in 2017. He has co-authored over 60 SCI journal papers on battery-related topics. His research interests include energy-saving and new energy vehicle technology, complex system modeling, simulation and control, fuel cell system management, and optimal control.
Affiliations and expertise
Department of Automation, University of Science and Technology of China, ChinaGZ
Gexiang Zhang
Gexiang Zhang is Foreign Academician of the Russian Academy of Natural Sciences, IET Fellow, and President of the International Membrane Computing Society. He mainly engages in research work in artificial intelligence, intelligent robots, smart grids, and intelligent control. He pioneered the establishment of multiple research platforms such as IMCS and JMC; The publication of 'Application of Membrane Computing in Real Life' fills the gap in practical works in the field of membrane computing worldwide.
Affiliations and expertise
Professor, Chengdu University of Information Engineering, ChinaCF
Carlos Fernandez
Carlos Fernandez is a senior lecturer at Robert Gordon University, Scotland, UK. He received his Ph.D. in Electrocatalytic Reactions from The University of Hull and then worked as a Consultant Technologist in Hull and a post-doctoral position in Manchester. His research interests include Analytical Chemistry, Sensors and Materials, and Renewable Energy.
Affiliations and expertise
Robert Gordon University, Aberdeen, UK