@article{LoechteGebertHemingetal.2018,
  author    = {L{\"o}chte, Andre and Gebert, Ole and Heming, Daniel and Sanders, Tilmann and Gl{\"o}sek{\"o}tter, Peter},
  title     = {State of Charge estimation of zinc air batteries using electrochemical impedance spectroscopy},
  series = {Neural Computing and Applications},
  volume    = {2018},
  journal   = {Neural Computing and Applications},
  publisher = {Springer},
  pages     = {1 -- 9},
  year      = {2018},
  language  = {de}
}
@inproceedings{LoechteGebertHorsthemkeetal.2018,
  author    = {L{\"o}chte, Andre and Gebert, Ole and Horsthemke, Ludwig and Heming, Daniel and Gl{\"o}sek{\"o}tter, Peter},
  title     = {State of Charge Depended Modeling of an Equivalent Circuit of Zinc Air Batteries Using Electrochemical Impedance Spectroscopy},
  series = {International Conference on Time Series and Forecasting: Proceedings of Papers, 19-21 September 2018, Granada (Spain)},
  booktitle = {International Conference on Time Series and Forecasting: Proceedings of Papers, 19-21 September 2018, Granada (Spain)},
  isbn      = {978-84-17293-57-4},
  pages     = {625 -- 636},
  year      = {2018},
  abstract  = {Metal air batteries provide a high energy density as the ca-thodic reaction uses the surrounding air. Different metals can be usedbut zinc is very promising due to its disposability and nontoxic behav-ior. State estimation is quite complicated as the voltage characteristicof the battery is rather flat. Especially estimating the state of chargeis important as a secondary electrolysis process during overcharging canlead to an unsafe state. Another technique for state estimation is theelectrochemical impedance spectroscopy. Therefore, this paper describesthe process of setup and measuring a time series of impedance spectraat known states of charge. Then these spectra are used to derive anequivalent circuit. Finally the development of the circuit's parameter areanalyzed to extract most important parameters.},
  language  = {de}
}
@inproceedings{LoechteGebertHemingetal.2018,
  author    = {L{\"o}chte, Andre and Gebert, Ole and Heming, Daniel and Kallis, Klaus and Gl{\"o}sek{\"o}tter, Peter},
  title     = {State estimation of zinc air batteries using neural networks},
  series = {IWANN 2017: Advances in Computational Intelligence},
  volume    = {2018},
  booktitle = {IWANN 2017: Advances in Computational Intelligence},
  editor    = {Springer, Axel},
  issn      = {0941-0643},
  doi       = {10.1007/s00521-018-3705-9},
  pages     = {1 -- 9},
  year      = {2018},
  abstract  = {The main task of battery management systems is to keep the working area of the battery in a safe state. Estimation of the state of charge and the state of health is therefore essential. The traditional way uses the voltage level of a battery to determine those values. Modern metal air batteries provide a flat voltage characteristic which necessitates new approaches. One promising technique is the electrochemical impedance spectroscopy, which measures the AC resistance for a set of different frequencies. Previous approaches match the measured impedances with a nonlinear equivalent circuit, which needs a lot of time to solve a nonlinear least-squares problem. This paper combines the electrochemical impedance spectroscopy with neural networks to speed up the state estimation using the example of zinc air batteries. Moreover, these networks are trained with different subsets of the spectra as input data in order to determine the required number of frequencies.},
  language  = {de}
}
@article{LoechteHemingGebertetal.2018,
  author    = {L{\"o}chte, Andre and Heming, Daniel and Gebert, Ole and Horsthemke, Ludwig and Gl{\"o}sek{\"o}tter, Peter},
  title     = {Oxygen consumption of zinc-air batteries and theirperformance at low oxygen concentration levels},
  series = {2018 16th Biennial Baltic Electronics Conference (BEC)},
  journal   = {2018 16th Biennial Baltic Electronics Conference (BEC)},
  doi       = {10.1109/BEC.2018.8600972},
  pages     = {1 -- 4},
  year      = {2018},
  abstract  = {Already existing primary Zinc-air batteries providea high energy density. Due to new secondary cells, its tech-nology can become an alternative for energy storage. Sincethese applications require a big amount of storable energy, theoxygen consumption has to be taken into account. This articledetermines the oxygen consumption of zinc-air batteries duringdischarging. Furthermore the performance of zinc-air batteries atlow oxygen concentrations is analyzed. Both aspects are validatedby practical experiments.},
  language  = {de}
}
@inproceedings{LoechteGebertGloesekoetter2019,
  author    = {L{\"o}chte, Andre and Gebert, Ole and Gl{\"o}sek{\"o}tter, Peter},
  title     = {End of charge detection of batteries with high production tolerances},
  series = {Proceedings ITISE-2019. Granada, 25th-27th September 2019},
  booktitle = {Proceedings ITISE-2019. Granada, 25th-27th September 2019},
  address   = {Granada (Spain)},
  isbn      = {978-84-17970-78-9},
  pages     = {554 -- 559},
  year      = {2019},
  abstract  = {When developing new battery technologies, fundamental research means assembling new batteries by hand since a production line is not worthwhile for building and testing individual cells. This causes high production tolerances to occur because manual manufacturing is not as precise as machine-made. When putting these prototypes into operation, problems can arise due to the varying parameters. One of the most important exercise is finding a criterion of a full battery. This can be challenging when parameters like the capacity or the end of charge voltage are not precisely known due to the tolerances. Furthermore, new battery types do not necessarily rely on the same stopping criteria. For example zinc-air secondary batteries do not offer an end of charging voltage. Its charging current is not going to decrease when the battery is full and the charging voltage is held at a fixed value. But instead of de-oxidising zinc oxide, hydrogen is produced. In the majority of cases overcharging should be avoided as it harms the battery. Another even more dangerous consequence is the possibility of an explosion. Especially lithium based batteries are known for their need of compatible ambient and charging parameters. This paper proposes a new criterion for detecting the end of charge that is based on the rate of change of electrochemical impedance spectra of the examined batteries. Device parameter fluctuations influence every measurement. Therefore, using the rate of change offers the possibility to not depend on these fluctuations.},
  language  = {de}
}