System-level assessment of dynamic reconfiguration for lifetime and cost outcomes in electric vehicle battery packs
Journal article, 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.

Author

Albert Skegro

Chalmers, Electrical Engineering, Systems and control

Torsten Wik

Chalmers, Electrical Engineering, Systems and control

Bo Bijlenga

PHINIA Inc.

Alexander Bessman

Scania AB

Changfu Zou

Chalmers, Electrical Engineering, Systems and control

Nature Communications

2041-1723 (ISSN) 20411723 (eISSN)

Vol. 17 5980

Multiphysics modelling and monitoring of lithium-ion cells for next-generation management

Swedish Research Council (VR) (2023-04314), 2024-01-01 -- 2027-12-31.

E-powertrain predictive maintenance using physics informed learning (TEAMING)

European Commission (EC) (101131278), 2023-12-01 -- 2027-11-30.

BattVolt - Battery control with dynamic reconfiguration and controllable voltage

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

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

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance

Transport

Energy

Infrastructure

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

Subject Categories (SSIF 2025)

Vehicle and Aerospace Engineering

Energy Systems

Control Engineering

DOI

10.1038/s41467-026-74951-8

Related datasets

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

More information

Latest update

7/10/2026