DocumentCode
1314162
Title
DESA: Dependable, Efficient, Scalable Architecture for Management of Large-Scale Batteries
Author
Kim, Hahnsang ; Shin, Kang G.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Volume
8
Issue
2
fYear
2012
fDate
5/1/2012 12:00:00 AM
Firstpage
406
Lastpage
417
Abstract
Conventional battery management systems (BMSs) for electric vehicles (EVs) are designed in an ad hoc way, causing the supply of EVs to fall behind the market demand. A well-designed and combined hardware-software architecture is essential for the efficient management of a large-scale battery pack that may consists of thousands of battery cells as in Tesla Motors and GM Chevy Volt. We propose a Dependable, Efficient, Scalable Architecture (DESA) that effectively monitors a large number of battery cells, efficiently controls, and reconfigures, if needed, their connection arrangement. DESA supports hierarchical, autonomous management of battery cells, where a global BMS orchestrates a group of local BMSs. A local controller on each local BMS autonomously manages an array of battery cells, and the global controller reconfigures the connectivity of such battery-cell arrays in coordination with the local controllers. Also, DESA allows individual arrays and local BMSs to be selectively powered-off for energy savings. The performance of this energy-saving capability is modeled and evaluated using a Markov chain. Our evaluation results show that DESA effectively tolerates battery-cell failures by an order-of-magnitude-while achieving 7.4 × service cost savings-better than a conventional BMS. This superior performance not only extends the battery life significantly, but also provides the flexibility in supporting diverse electric power demands from a growing number of on-board applications.
Keywords
Markov processes; ad hoc networks; battery management systems; battery powered vehicles; electric vehicles; secondary cells; BMS; DESA; Markov chain; ad hoc network; autonomous management; battery-cell arrays; battery-cell failure; controller reconfiguration; dependable efficient scalable architecture; diverse electric power demands; electric vehicle; energy saving capability; hardware-software architecture; large-scale battery pack management system; market demand; order-of-magnitude; Arrays; Batteries; Control systems; Monitoring; Temperature measurement; Temperature sensors; Battery cells and packs; battery management system (BMS); electric vehicles; reconfiguration of cell and pack connections; voltage and cell balancing;
fLanguage
English
Journal_Title
Industrial Informatics, IEEE Transactions on
Publisher
ieee
ISSN
1551-3203
Type
jour
DOI
10.1109/TII.2011.2166771
Filename
6009192
Link To Document