Hybrid Lithium-Ion Battery Storage Solution with Optimizing Energy Management and Online Condition Monitoring for Multi-use Applications

The paper presents current research results of the HYBAT project, in which a hybrid lithium-ion battery storage solution is being developed for three types of application: self-consumption optimization in industry and commerce, capacity-firming in a renewable energy park and buffer storage for electric vehicle charging stations. First, an overview of the principle structure and the functionalities of the HYBAT system is given. It features a hybrid storage approach consisting of a high energy and a high power lithium-ion battery and a multi-objective optimizing energy management. The paper describes the developed energy management concepts based model predictive control and mixed integer linear programming, dynamic programming and reinforcement learning. For the application field of self-consumption optimization in industry and commerce, a model predictive, dynamic programming based energy management is presented in detail. Selected results of simulation-based investigations evaluate the developed energy management concept based on technical and economic performance criteria. The advantages of using the developed hybrid battery storage solution for multi-use applications with optimization-based energymanagement concepts are elaborated. In particular, an improved technical utilization of the storage system, increased efficiency as well as reduced operating costs will be addressed.