@inproceedings {pub6388,
	title = {A Hierarchical Controller as an Alternative Multi-Objective EV Charging Manager},
	author = {Steffen Limmer AND Christiane Attig AND Tobias Rodemann},
	year = {2026},
	month = {March},
	abstract = {Smart electric vehicle (EV) charging typically requires the consideration of a multitude of objectives like (electricity) costs, carbon emissions, user request satisfaction, grid stabilization and other factors. These objectives are typically combined as a weighted sum of all individual objectives. While this is conceptually easy, finding proper weights and confirming that any specific set of weights correctly implements the decision maker{\textquoteright}s preferences is a great challenge, growing with every additional objective. This paper presents the implementation of an alternative approach, a hierarchical EV charging scheduler, which is utilized in a real-world setting to control the charging of EVs and a stationary battery at a company building. It employs
a new scheduling approach where objectives are arranged in a hierarchy of priorities, providing a clear specification of the controller operation. The primary objectives of the scheduler are the maximization of the satisfaction of the EV{\textquoteright}s charging demands under load limit constraints and the maximization of the
photovoltaics self-consumption. Additionally, the scheduler considers other practically relevant objectives, such as minimizing battery discharging. In experiments, it is demonstrated that the runtime of the scheduler scales well with an increasing number of considered EVs, and the working of the scheduler is illustrated on an exemplary use case.},
	publisher = {IEEE},
	booktitle = {16th International Conference on Power, Energy, and Electrical Engineering (CPEEE)},
	city = {Osaka}
}