Cantitate/Preț
Produs

Smart Safety Management of Energy Storage Batteries

Autor Shunli Wang, Yanxin Xie, Guangchen Liu, Qi Huang, Yujie Wang, Gexiang Zhang, Carlos Fernandez
en Limba Engleză Paperback – sep 2025
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 modelling, 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, 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 modelling, including electrical circuit modelling and parameter identification theory
  • Includes coverage of battery state estimation methods, including state of charge estimation, state of health estimation, and state-of-charge and state-of-health co-estimation
Citește tot Restrânge

Preț: 110578 lei

Preț vechi: 143607 lei
-23% Nou

Puncte Express: 1659

Preț estimativ în valută:
21162 22012$ 17470£

Carte nepublicată încă

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780443275784
ISBN-10: 0443275785
Pagini: 541
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE

Cuprins

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