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Kupper, F. (author), Mentink, P. (author), Avramis, N. (author), Meima, N. (author), Lazovik, E. (author), Wilkins, S. (author), Willems, F. (author)
Self-learning energy management is a promising concept, which optimizes real-world system performance by automated, on-line adaptation of control settings. In this work, the potential of self-learning capabilities related to optimization is studied for energy management in Plug-in Hybrid Electric Vehicles (PHEV). These vehicles are of great...
conference paper 2022