doi: 10.3850/978-3-9815370-4-8_0051


Inductor Optimization for Active Cell Balancing using
Geometric Programming


Matthias Kauer1,a, Swaminathan Narayanaswami1, Martin Lukasiewycz1,
Sebastian Steinhorst1 and Samarjit Chakraborty2

1TUM CREATE, Singapore.

amatthias.kauer@tum-create.edu.sg

2TU Munich, Germany.

samarjit@tum.de

ABSTRACT

This paper proposes an optimization methodology for inductor components in active cell balancing architectures of electric vehicle battery packs. For this purpose, we introduce a new mathematical model to quantitatively describe the charge transfer of a family of inductor-based circuits. Utilizing worst case assumptions, this model yields a nonlinear program for designing the inductor and selecting the transfer current. In the next step, we transform this problem into a geometric program that can be efficiently solved. The optimized inductor reduces energy dissipation by at least 20% in various scenarios compared to a previous approach which selected an optimal off-the-shelf inductor.



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