| Title | Lite-Sparse Hierarchical Partial Power Processing for Parallel Batteries in Heterogeneous Energy Storage Systems |
|---|---|
| ID_Doc | 7080 |
| Authors | Cui, XF; Ramyar, A; Contreras, V; Judge, G; Siegel, J; Stefanopoulou, A; Avestruz, AT |
| Title | Lite-Sparse Hierarchical Partial Power Processing for Parallel Batteries in Heterogeneous Energy Storage Systems |
| Year | 2021 |
| Published | |
| Abstract | A significant cost in using second-use EV batteries in stationary energy storage is power conversion and processing. By reducing this cost, the potential for a sustainable circular economy for EV batteries and battery energy storage systems (BESS) can be realized. The challenge with second-use batteries is the heterogeneity of their characteristics, which makes prevailing methods for power processing particularly intensive, and hence expensive. We present a lite-sparse hierarchical partial power processing (LS-HiPPP) strategy that overcomes these obstacles for batteries in parallel, which are needed in lower voltage applications that include energy buffering for EV fast charging and behind-the-meter energy storage. |
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