Analysis of potential lifetime extension through dynamic battery reconfiguration
Albert Skegro, Changfu Zou, Torsten Wik

TL;DR
This simulation study investigates how dynamic reconfiguration of battery packs can extend their lifetime, highlighting the greater benefits in series configurations and the influence of cell variation factors.
Contribution
It provides the first detailed analysis of lifetime extension potential through dynamic reconfiguration considering various parameters.
Findings
Lifetime extension is greater in series configurations.
Spread of equivalent full cycles significantly impacts parallel packs.
Resistance increase and number of cells influence lifetime in parallel packs.
Abstract
Growing demands for electrification result in increasingly larger battery packs. Due to factors such as cell position in the pack and variations in the manufacturing process, the packs exhibit variations in the performance of their constituent cells. Moreover, due to the fixed cell configuration, the weakest cell renders the pack highly susceptible to these variations. Reconfigurable battery pack systems, which have increased control flexibility due to additional power electronics, present a promising solution for these issues. Nevertheless, to what extent they can prolong the battery lifetime has not been investigated. This simulation study analyzes the potential of dynamic reconfiguration for extending battery lifetime w.r.t. several parameters. Results indicate that the lifetime extension is larger for series than for parallel configurations. For the latter, the dominant factor is…
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Taxonomy
TopicsAdvanced Battery Technologies Research · Electric Vehicles and Infrastructure · Advancements in Battery Materials
