Extending life of Lithium-ion battery systems by embracing heterogeneities via an optimal control-based active balancing strategy
Vahid Azimi, Anirudh Allam, Simona Onori

TL;DR
This paper develops an optimal control strategy for lithium-ion battery modules with heterogeneous cells, aiming to extend lifespan and improve charging efficiency by considering cell differences and thermal effects.
Contribution
It introduces a multi-objective optimal control framework for active balancing in heterogeneous lithium-ion batteries, employing a coupled electrochemical-thermal-aging model and direct collocation.
Findings
OCP-DCT scheme reduces temperature and degradation.
Different charging times improve flexibility and performance.
Significant capacity retention benefits over constant current charging.
Abstract
This paper formulates and solves a multi-objective fast charging-minimum degradation optimal control problem (OCP) for a lithium-ion battery module made of series-connected cells equipped with an active balancing circuitry. The cells in the module are subject to heterogeneity induced by manufacturing defects and non-uniform operating conditions. Each cell is expressed via a coupled nonlinear electrochemical, thermal, and aging model and the direct collocation approach is employed to transcribe the OCP into a nonlinear programming problem (NLP). The proposed OCP is formulated under two different schemes of charging operation: (i) same-charging-time (OCP-SCT) and (ii) different-charging-time (OCP-DCT). The former assumes simultaneous charging of all cells irrespective of their initial conditions, whereas the latter allows for different charging times of the cells to account for…
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Taxonomy
TopicsAdvanced Battery Technologies Research · Advancements in Battery Materials · Advanced battery technologies research
MethodsNetwork On Network
