Big Data Analysis and Application of Power Battery Operation Safety
Springer Nature Switzerland AG (Verlag)
978-981-96-4398-1 (ISBN)
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This book focuses on the current advanced technology field of battery operation big data and comprehensively describes the frontier technology of big data analysis and intelligent control of battery safe operation. The content systematically introduces the coupling mechanism of battery system safety and consistency, battery SOH estimation and prediction, battery safety state prediction, battery fault diagnosis, battery system risk pre-warning, and safety control strategy research.
This book is suitable for teachers and students of universities and colleges in the automotive and related industries, engineers and technicians in the R&D departments of enterprises or automotive enthusiasts to read and refer.
The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.
Dr. Jichao Hong, associate professor, is currently engaging in research at the School of Mechanical Engineering, University of Science and Technology Beijing. He has been involved in big data safety analysis of power batteries for more than 10 years. He has extensive theoretical and practical experience in big data analysis, state estimation, and safety control in batteries. He has published more than 100 papers and 2 monographs in important academic journals and press at home and abroad. He has chaired and participated in more than 20 horizontal and vertical projects, including the National Natural Science Foundation of China, the Key Research and Development Program of the Ministry of Science and Technology, and university-enterprise cooperation.
Overview.- Research on the Coupling Mechanism of Safety and Consistency in Power Battery System.- Estimation and Prediction of Power Battery SOH.- Power Battery Safety Status Prediction.- Research on Fault Diagnosis of Power Battery System.- Research on Risk Warning of Power Battery System.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Key Technologies on New Energy Vehicles |
| Zusatzinfo | 156 Illustrations, color; 14 Illustrations, black and white |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Technik ► Fahrzeugbau / Schiffbau | |
| Technik ► Maschinenbau | |
| Schlagworte | battery management system • Big data analysis • Electric Vehicle • Fault Diagnosis • information entropy • machine learning • operational safety • Power Battery • Risk warning • State prediction |
| ISBN-10 | 981-96-4398-8 / 9819643988 |
| ISBN-13 | 978-981-96-4398-1 / 9789819643981 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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