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Electric vehicle (EV) batteries retain substantial usable capacity after their first life, enabling reuse in power grid’s stationary applications such as frequency control, self-consumption, and energy arbitrage. However, battery cycling profiles in power system applications differ significantly from standard driving cycles, requiring tailored testing methods to assess second-life degradation. This paper presents a two-stage framework for generating realistic second-life cycling profiles that replicate battery energy storage system (BESS) operation. The first stage optimizes power and state of energy (SOE) profiles, while the second stage ensures compliance with voltage and current constraints using an equivalent circuit model (ECM). The resulting profile maximizes the energy throughput while guaranteeing safe and feasible battery operation.