DESA: Dependable, Efficient, Scalable Architecture for Management of Large-Scale Batteries

被引:59
|
作者
Kim, Hahnsang [1 ]
Shin, Kang G. [1 ]
机构
[1] Univ Michigan, Dept Elect Engn & Comp Sci, Real Time Comp Lab, Ann Arbor, MI 48109 USA
关键词
Battery cells and packs; battery management system (BMS); electric vehicles; reconfiguration of cell and pack connections; voltage and cell balancing;
D O I
10.1109/TII.2011.2166771
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 x 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.
引用
收藏
页码:406 / 417
页数:12
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