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.

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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
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article

Reconfigurable Battery Control With State-of-Health Awareness for Service-Life Extension in DC Fast-Charge Stations

Seyed Amir Assadi, Olivier Trescases, Daniela Galatro, Seif Sarofim et al.
IEEE Journal of Emerging and Selected Topics in Power Electronics
Advanced Battery Technologies Research
article

Reconfigurable Battery Control With State-of-Health Awareness for Service-Life Extension in DC Fast-Charge Stations

Seyed Amir Assadi, Olivier Trescases, Daniela Galatro, Seif Sarofim, Davis Ngresi
article en

Abstract

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.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 13(6)
University of Toronto (CA)
Openalex Percentile: Top 71%
Advanced Battery Technologies Research
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