The objectiv of the project is the research of the aging process of stationary battery energy storage systems with cloud-based methods.
As part of the ongoing energy transition, the share of renewable energies in the overall electricity mix in Germany continues to increase. In addition, conventional power plants are being dismantled and are no longer available for grid-serving functions. Therefore, it is necessary to develop alternatives for grid stabilization. Battery Energy Storage Systems (BESS) with lithium-ion basis provide a solution for future grid stabilization tasks.
The integrated State-of-Health (SoH) estimators of the Battery-Management-Systems (BMS) are commonly not suited to observe the ageing during operation of the BESS with the needed accuracy.
In this joint research a cloud-based monitoring system for BESS is to be developed to optimize operating strategies of the storage system.
The aim is to achieve the following objectives:
• Data logging and delivery of the stationary storage system in operation
• Cloud solution for monitoring, analysis and modelling of stationary storage systems
• Development of new and improved methods to extract time-varying battery parameters (e.g. capacity, OCV-curve) from BMS-data of real on grid operation of the storage system.
• Observation of battery ageing on system level and establishing empirical ageing models on system level
• Investigation of transferability of empirical ageing models from cell to system level.
• Investigation of the impact of pack inhomogeneity on the usability of pack-voltage for state estimation
The results of the project will be demonstrated in operation using the Freimann large-scale storage facility of Stadtwerke München. The demonstrator will show on the one hand the accuracy of the parameter estimation and on the other hand the improved battery operation. The results will be validated by practical tests with the battery storage system.
The project is jointly supervised by Siemens AG and the Chair of EES at the Technical University of Munich. Stadtwerke München is involved as an associated partner.
This research project is funded by the Federal Ministry of Economic Affairs and Climate Action (BMWK), grant number 03EI4041B, and cared by Project Management Jülich.
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