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A fault-response approach for battery pack by reconfigurable topology using agents
- Source :
- International Conference on Tools with Artificial Intelligence, International Conference on Tools with Artificial Intelligence, Nov 2016, San Jose, United States, ICTAI
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience; Due to their properties such as high energy density, lithium-ion battery packs are more and more widespread for many kinds of applications. Although a classical Battery Management System (BMS) can improve the performance and safety of a battery pack, it cannot deal with issues related to aging and cell faults. This paper presents a fault-response approach for battery packs operating at the cell level. It uses a reconfigurable topology combined with agents, that can increase the resilience of a pack in the face of faults. A cosimulation technique based on Matlab/Simulink and the JADE platform is used to test and validate the proposed approach.
- Subjects :
- Battery (electricity)
0209 industrial biotechnology
Computer science
JADE (programming language)
Topology (electrical circuits)
02 engineering and technology
Fault (power engineering)
Topology
Battery management systems
[SPI.AUTO]Engineering Sciences [physics]/Automatic
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
[PHYS.MECA.MEFL] Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]
[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]
Resilience (network)
computer.programming_language
[PHYS.MECA.THER] Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph]
business.industry
020208 electrical & electronic engineering
[SPI.NRJ]Engineering Sciences [physics]/Electric power
Battery pack
[SPI.AUTO] Engineering Sciences [physics]/Automatic
Embedded system
Energy density
[PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph]
business
computer
[SPI.NRJ] Engineering Sciences [physics]/Electric power
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- International Conference on Tools with Artificial Intelligence, International Conference on Tools with Artificial Intelligence, Nov 2016, San Jose, United States, ICTAI
- Accession number :
- edsair.doi.dedup.....d643bef7f297867b2abade56e2822219