Reconfigurable Battery Control With State-of-Health Awareness for Service-Life Extension in DC Fast-Charge Stations
Battery-Assisted DC Fast Charger (BA-DCFC) stations use stationary Battery Energy Storage Systems (BESS) to reduce grid-demand fees and reduce the costs associated with the operation and installation of Electric Vehicle (EV) fast charging stations. The service-life and reliability of a BA-DCFC station are significantly influenced by the longevity of the BESS, which is degraded by variations in cell capacity and impedance. BA-DCFC architectures with a reconfigurable BESS (rBESS) can enhance station efficiency and power density, compared to architectures with a fixed-configuration BESS (fBESS). Despite these advantages, the rBESS architecture inherently results in non-uniform cell utilization and aging. To mitigate these challenges, this paper proposes a control algorithm for the rBESS that actively reduces non-uniform aging while achieving higher efficiency than a benchmark fBESS design. A custom hardware-in-the-loop implementation of the rBESS BA-DCFC architecture is used to experimentally demonstrate the inherent non-uniform utilization of the rBESS despite high system-level efficiency during a 37-kW EV charging test. Long-term simulations, incorporating experimental data and aging models are used to compare the proposed control algorithm in the rBESS architecture against the fBESS architecture across various BESS capacities in terms of service-life and reliability. The proposed algorithm improves station service-life by 6.9–7.7% and increases EV charging capacity by up to 15.2%, compared to fBESS systems.
Authors
- Seyed Amir Assadi (ORCID: https://orcid.org/0000-0003-0477-302X)
- Olivier Trescases
- Daniela Galatro (ORCID: https://orcid.org/0000-0003-0934-7492)
- Seif Sarofim (ORCID: https://orcid.org/0009-0008-4922-2495)
- Davis Ngresi
Institutions
- University of Toronto (CA)
Publication Details
- Journal
- IEEE Journal of Emerging and Selected Topics in Power Electronics
- Published
- 2025-09-30
- DOI
- https://doi.org/10.1109/jestpe.2025.3616148
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00