Studies of electrical engineering and information technology at TU Munich with focus on power engineering
Master‘s thesis at the Institute of Renewable and Sustainable Energy Systems: “A decentralized optimal power flow method for real-time applications in power distribution systems”
Working student at Siemens in the “Research group for Energy System Modeling”
Research Interests
Modeling and optimization of stationary battery energy storage systems.
Battery digital-twin models based on field data.
Combination of model-driven and data-driven methods.
Martin Cornejo, Andreas Jossen: Bayesian Inference and Gaussian Process Regression for parameter estimation of a battery model from field data. Advanced Battery Power 2023 2023 more…
Nils Collath, Martin Cornejo, Veronika Engwerth, Holger Hesse, Andreas Jossen: Increasing the lifetime profitability of battery energy storage systems through aging aware operation. Applied Energy 348, 2023, 121531 more…
