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

DOI

10.2991/978-94-6463-156-2_7How to use a DOI?

Keywords

hybrid energy storage system (HESS); energy management system (EMS); model predictive control (MPC); dynamic programming (DP); lithium-ion battery; multi-use application

Abstract

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 energy management concepts are elaborated. In particular, an improved technical utilization of the storage system, increased efficiency as well as reduced operating costs will be addressed.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Michael Böttiger
AU  - Margrit Wicke
AU  - Sebastian Sacht
AU  - Florus Härtel
AU  - Ronny Gelleschus
AU  - Thilo Bocklisch
PY  - 2023
DA  - 2023/05/25
TI  - Hybrid Lithium-Ion Battery Storage Solution with Optimizing Energy Management and Online Condition Monitoring for Multi-use Applications
BT  - Proceedings of the International Renewable Energy Storage  Conference (IRES 2022)
PB  - Atlantis Press
SP  - 76
EP  - 92
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-156-2_7
DO  - 10.2991/978-94-6463-156-2_7
ID  - Böttiger2023
ER  -