<p>During active balancing, repeated charging and discharging operations accelerate battery aging and increase energy transfer losses. To solve the above issues, this article presents a battery pack energy transfer control strategy based on dual optimization. This strategy performs only one-way energy transfer on a single cell within the same charge-discharge cycle. By using a capacity efficiency equation to amend the cumulative error caused by dynamic changes in the charge-discharge rate when calculating a single cell energy state, and combining the internal loss of the battery itself, a charge-discharge energy model and transfer current matrix are constructed. The dual optimization outer layer adopts an energy transfer moment cycle, while the inner layer employs an improved particle swarm algorithm combined with penalty function constraints to solve for the effective solution of the current transfer matrix. The objective function is used to optimize multiple sets of effective solutions, achieving the minimization of energy transfer loss. The results show that compared to single-optimization methods, dual optimization can find smaller energy transfer losses within the same charge-discharge cycle, thereby enhancing the total power-up capacity of the battery pack.</p>