EconPapers    
Economics at your fingertips  
 

An Architectural Design for the Reliability and Safety of Battery Management System

Xinpeng Wang (), Yiqun Du and Bo Meng
Additional contact information
Xinpeng Wang: No. 92942 Unit of PLA
Yiqun Du: No. 92942 Unit of PLA
Bo Meng: Logistic Department of PLA Northern Combat Area Navy

A chapter in Data-Driven Methods for Reliability and Safety Engineering: Applications in Industrial Systems, 2026, pp 147-154 from Springer

Abstract: Abstract To improve the reliability and safety of power batteries, an enhanced architectural design for a battery management system is proposed. This design incorporates advanced methodologies and algorithms, including machine learning and a dynamic safety response mechanism, to establish the system architecture and functional capabilities. The proposed design facilitates effective fault diagnosis and prevention, thereby enhancing the operational safety and overall efficiency of complex battery-powered products.

Keywords: Architectural design; Reliability; Safety; Battery management system (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-032-22873-4_12

Ordering information: This item can be ordered from
http://www.springer.com/9783032228734

DOI: 10.1007/978-3-032-22873-4_12

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-24
Handle: RePEc:spr:ssrchp:978-3-032-22873-4_12