Michael Böttiger

TL;DR: A new optimizing design concept for autonomous power supply systems employing an enhanced particle swarm algorithm taking into account both component sizing and energy management parameters is described.

TL;DR: In this paper, an equivalent circuit based simulation model for the static and dynamic behavior of lithium-ion battery systems is presented, which describes the voltage-current characteristic, the state of charge behavior and the occurring losses of the battery system.

TL;DR: A model predictive control approach for a home energy system with a heat pump, a thermal storage, a photovoltaic system and a battery, demonstrated in the mixed-integer linear programming framework.

TL;DR: In this article, an optimizing model-based energy management system for an AC-coupled grid connected photovoltaic battery system is presented, which consists of a prediction module, an optimization module, and a reactive management module.

TL;DR: Results developing an innovative power supply system on the basis of a modular, flexibly customizable and cost-effective lithium-ion battery and power converter unit for peak-shaving and load levelling applications in the industrial sector including advanced self-consumption optimization strategies for renewable energies are presented.