@inproceedings{4a81ca78-eb5a-4c4d-ae0e-575f0d414652,
  abstract     = {{<p>Battery-swapping technology addresses key limitations of electrified agricultural machinery: battery energy density and efficient energy replenishment. This paper integrates an optimization algorithm for dispatchable battery-swapping into an electric farming simulation framework. A three-year simulation compares the optimized strategy, which leverages batteries for both field operations and energy trading, against rule-based baselines that use batteries only for field operations. Results show the optimized system achieves 7 3-mathbf2 6 1 % higher net energy trading margins through three mechanisms: 4 7 - 5 5 % lower import costs, 10-42 €/MWh higher export prices, and 6 5 - 2 5 4 % greater export volumes. Battery export revenue alone contributes mathbf{0. 5 5 - 0. 8 1 % of total revenue. Despite higher battery degradation, the financial gains substantially justify the trade-off, establishing genuine economic viability for battery-swapping-equipped farms engaged in grid trading.</p>}},
  author       = {{Wallander, Edvin and Marquez-Fernandez, Francisco J.}},
  booktitle    = {{2026 IEEE Transportation Electrification Conference and Expo and Electric Aircraft Technologies Symposium, ITEC+EATS 2026}},
  isbn         = {{9798331587734}},
  keywords     = {{battery swapping; electric agriculture; non-road mobile machinery; optimization}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2026 IEEE Transportation Electrification Conference and Expo and Electric Aircraft Technologies Symposium, ITEC+EATS 2026}},
  title        = {{Optimized energy management and energy replenishment in electric agriculture}},
  url          = {{http://dx.doi.org/10.1109/ITECEATS66641.2026.11592984}},
  doi          = {{10.1109/ITECEATS66641.2026.11592984}},
  year         = {{2026}},
}