TY - JOUR
T1 - Dual-Layer Energy Equalization for Series Battery Packs by Scheduling the Balancing Current With an Improved Model Prediction Controller
AU - Xie, Jiale
AU - Zhang, Hengyu
AU - Gao, Feng
AU - Wei, Zhongbao
AU - Dong, Zhekang
N1 - Publisher Copyright:
© 1986-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - This article designs a dual-layer hardware topology for series battery packs to realize the synchronous energy transfer among cells in the same module and cells across different modules. A bus-type flying-inductor structure is employed as the bottom-layer functional block, with sufficient dead-time gaps inserted between switches to mitigate mosfet heating caused by short-circuits. In order to maintain the energy throughput capability, auxiliary components are added for inductor current freewheeling, thereby facilitating the charge transfer between target cells. Then, a typical transformer is adopted as the top-layer functional block to directly balance the selected cells in different modules. Subsequently, considering constraints regarding the withstand voltage and maximum current of the tubes, the model prediction control is improved with multiobjective optimization gain-scheduling mechanism to determine the balancing currents for both layers, wherein the gain matrix is adjusted according to the remaining charge deviations between cells. Experimental verifications conducted on a pack consisting of nine cells divided into three modules indicate that compared with traditional methods, the proposed equalization scheme exhibits superior performance in terms of balanced energy transfer timeliness and efficiency.
AB - This article designs a dual-layer hardware topology for series battery packs to realize the synchronous energy transfer among cells in the same module and cells across different modules. A bus-type flying-inductor structure is employed as the bottom-layer functional block, with sufficient dead-time gaps inserted between switches to mitigate mosfet heating caused by short-circuits. In order to maintain the energy throughput capability, auxiliary components are added for inductor current freewheeling, thereby facilitating the charge transfer between target cells. Then, a typical transformer is adopted as the top-layer functional block to directly balance the selected cells in different modules. Subsequently, considering constraints regarding the withstand voltage and maximum current of the tubes, the model prediction control is improved with multiobjective optimization gain-scheduling mechanism to determine the balancing currents for both layers, wherein the gain matrix is adjusted according to the remaining charge deviations between cells. Experimental verifications conducted on a pack consisting of nine cells divided into three modules indicate that compared with traditional methods, the proposed equalization scheme exhibits superior performance in terms of balanced energy transfer timeliness and efficiency.
KW - Balancing current scheduling
KW - dual-layer topology
KW - energy equalization
KW - model prediction control
KW - series battery pack
UR - https://www.scopus.com/pages/publications/105015205010
U2 - 10.1109/TPEL.2025.3604974
DO - 10.1109/TPEL.2025.3604974
M3 - Article
AN - SCOPUS:105015205010
SN - 0885-8993
VL - 41
SP - 2478
EP - 2490
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 2
ER -