Dependable, efficient, scalable architecture for management of large-scale batteries
Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems
Balanced reconfiguration of storage banks in a hybrid electrical energy storage system
Proceedings of the International Conference on Computer-Aided Design
Pack Sizing and Reconfiguration for Management of Large-Scale Batteries
ICCPS '12 Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems
Robustness analysis for battery-supported cyber-physical systems
ACM Transactions on Embedded Computing Systems (TECS)
Real-time prediction of battery power requirements for electric vehicles
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
| Hi-index | 0.00 |
Electric vehicles powered with large-scale battery packs are gaining popularity as gasoline price soars. Large-scale battery packs usually consist of an estimated 12,000 battery cells connected in series and parallel, which are susceptible to battery-cell failures. Unfortunately, current battery-management systems are unable to handlethe inevitable battery-cell failures very well. To address this problem, we propose a dynamic reconfiguration framework that monitors, reconfigures, and controls large-scale battery packs online. The framework is built upon a syntactic bypassing mechanism that provides a set of rules for changing the battery-pack configuration, and a semantic bypassing mechanism by which the battery-cell connectivity is reconfigured to recover from a battery-cell failure. In particular, the semantic bypassing mechanism is dictated by constant-voltage-keeping and dynamic-voltage-allowing policies. The former policy is effective in preventing unavoidable voltage drops during the battery discharge, while the latter policy is effective in supplying different amounts of power to meet a wide-range of application requirements. Our experimental evaluation has shown the proposed framework to enable the battery packs to be 9 times as fault-tolerant as a legacy scheme.