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Development of Simulation Environment for Safe Operation and Performance Validation of Reused Battery ESS Park Joonhong Department of Electrical Engineering, Graduate School of Chonnam National University (Supervised by Professor Ahn Seon-ju)
(Abstract)
With the expansion of the used battery market expected around 2030,
the promotion of reuse and recycling industries for used batteries has
emerged as a critical issue. Battery reuse technology refers to the
process of evaluating the remaining capacity and lifespan of secondary
batteries, whose full-charge capacity has fallen below a certain threshold
after use in electric vehicles (EVs), and repurposing them for other
applications such as ESS (Energy Storage Systems) and UPS
(Uninterruptible Power Supplies). This technology holds significant value
in terms of economic efficiency and resource circulation. Particularly,
numerous demonstration studies are being conducted to optimize safe
operation and establish system standardization for ESS using reused
batteries.
This study aims to ensure the safe operation of ESS composed of
reused batteries by designing three algorithms necessary for estimating
battery status and evaluating health, based on existing research and
literature, and examining their application conditions. These algorithms
are presented in the form of SOX (State of X, where X = Power, Health,
Balance, etc.), and based on this, an operational program menu structure
was designed. Additionally, a simulation model was developed to validate
the performance of reused battery ESS, identifying key considerations for
model design, including capacity deviation, internal parameter variation,
degradation rate differences, and thermal factors. Simulated operations
were used to verify parts of the algorithms and observe changes in ESS
conditions.
This study differentiates itself from existing research in two main
aspects. First, it involves the actual application of operational data-based
battery status estimation algorithms to ESS. Unlike previous studies that
primarily focused on laboratory environments or small-scale cell-based
tests, this study incorporated factors necessary for applying these
algorithms to a 500kWh large-scale ESS composed of reused batteries.
Second, it identifies and integrates key considerations for simulation
model design to validate the performance of reused battery ESS.
Specifically, four essential elements that must be included in the design
of reused battery ESS models were defined and applied to the simulation
model, providing guidance for future ESS model design utilizing reused
batteries.
In this study, a safe operation plan for reused battery ESS was
developed, and a simulation model for performance validation was
created. Furthermore, through simulated operations under various
conditions, the study analyzed ESS conditions and confirmed the
effectiveness of the algorithms. The results are expected to serve as
foundational data for evaluating the safety and performance of ESS in the
future.
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