Battery swapping separates a vehicle's stop from battery charging, creating flexibility but coupling station location and capacity to battery inventory, queues, and local grid limits. This focused review examines 31 road-vehicle battery swapping station studies and one broader infrastructure review published through 25 August 2026. Twenty-seven primary studies were coded by decision layer, data basis, uncertainty, battery condition, service representation, and network detail. Thirteen explicitly model stochastic or robust uncertainty, nine use operational or case data, five include degradation or state of health, and seven represent network-level constraints; only four couple an infrastructure decision with operational or grid control. The literature has progressed from deterministic siting models to trajectory-based planning, stochastic inventory control, degradation-aware scheduling, reinforcement learning, and robust renewable integration. Yet no reviewed study closes the loop among user arrivals, queueing, heterogeneous battery health, and distribution-network feasibility. We therefore frame design as an iterative exchange among mobility, station, battery, and grid models, clarifying what is integrated and what remains an external assumption.

Shiyun Tong. Electric Vehicle Battery Swapping Stations: A Focused Review of Siting, Sizing, and Operation. Academic Journal of Business & Management (2026), Vol. 8, Issue 8: 133-138. https://doi.org/10.25236/AJBM.2026.080816.

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