System-level assessment of dynamic reconfiguration for lifetime and cost outcomes in electric vehicle battery packs
Artikel i vetenskaplig tidskrift, 2026

The electrification of transport relies heavily on lithium-ion batteries, yet conventional fixed-configuration battery packs suffer from structural inefficiencies such as cell-to-cell variability and premature failure. Dynamic battery reconfiguration, enabled by intelligent control of switching hardware around individual cells, provides an alternative pack architecture. Here we present a systematic, battery technology-agnostic evaluation of the lifetime and economic benefits of reconfigurable battery packs using a statistically grounded framework based on detailed cell modelling across diverse design and usage conditions. We show that reconfigurable battery packs can extend battery lifetime by over 20%, particularly in high-voltage applications such as electric trucks and long-range passenger vehicles. Despite higher upfront costs, reconfigurable packs can reduce lifetime cost by deferring replacements and retaining greater residual value. A sensitivity analysis identifies robust thresholds for economic viability: battery capacities above approximately 50 kWh, annual driving distances below 12,150 km, and additional upfront costs under 7.16%. These findings position dynamic reconfiguration as a scalable, cost-optimised architecture for next-generation battery platforms, and provide a quantitative foundation for future hardware design, management software, and life-cycle sustainability assessments.

Författare

Albert Skegro

Chalmers, Elektroteknik, System- och reglerteknik

Torsten Wik

Chalmers, Elektroteknik, System- och reglerteknik

Bo Bijlenga

PHINIA Inc.

Alexander Bessman

Scania AB

Changfu Zou

Chalmers, Elektroteknik, System- och reglerteknik

Nature Communications

2041-1723 (ISSN) 20411723 (eISSN)

Vol. 17 5980

Multifysisk modellering och övervakning av litiumjonceller för nästa generations styrsystem

Vetenskapsrådet (VR) (2023-04314), 2024-01-01 -- 2027-12-31.

Prediktivt underhåll av e-powertrain med hjälp av fysikinformerad inlärning (TEAMING)

Europeiska kommissionen (EU) (101131278), 2023-12-01 -- 2027-11-30.

BattVolt - Batteristyrning med dynamisk konfigurering och styrbar utspänning

Mistra Urban Futures (MI2319.03), 2020-01-01 -- 2023-12-31.

Chalmers, 2020-01-01 -- 2023-12-31.

Drivkrafter

Hållbar utveckling

Innovation och entreprenörskap

Styrkeområden

Transport

Energi

Infrastruktur

C3SE (-2020, Chalmers Centre for Computational Science and Engineering)

Ämneskategorier (SSIF 2025)

Farkost och rymdteknik

Energisystem

Reglerteknik

DOI

10.1038/s41467-026-74951-8

Relaterade dataset

Simulation and post-processing code for 'System-level assessment of dynamic reconfiguration for lifetime and cost outcomes in electric vehicle battery pack' [dataset]

DOI: 10.5281/zenodo.20632593

Mer information

Senast uppdaterat

2026-07-10