Exploring Adaptive Reconfiguration to Optimize Energy Efficiency in Large-Scale Battery Systems

摘要: Large-scale battery packs with hundreds/thousands of cells are commonly adopted in many emerging cyber-physical systems such as electric vehicles and smart micro-grids. For applications, the load requirements on dynamic could significantly change over time. How to resolve discrepancies between output power supplied by system input required loads is key development large-scale systems. Traditionally, voltage regulators often convert outputs match loads' power. Unfortunately, efficiency utilizing degrades when difference voltages becomes large or light. In this paper, we propose address problem via an adaptive reconfiguration framework for system. By abstracting into a graph representation, develop two algorithms identify desired configurations dynamically accordance real-time requirements. We extensively evaluate our design empirical experiments prototype system, vehicle driving trace-based emulation, discharge simulations. The evaluation results demonstrate that, depending states, proposed able achieve 1× 5× performance improvement regard operation