Mathematical Modeling and Optimization in Energy Storage and Conversion Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 193
Special Issue Editors
Interests: energy storage; battery management systems; battery system estimation algorithm; intelligent control algorithm; process control
Special Issues, Collections and Topics in MDPI journals
Interests: power system modeling and control; electric traction and transmission control; complex system modeling; advanced control theory; application research
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The global energy transition, driven by carbon neutrality goals, has made energy storage and conversion systems (e.g., battery storage, thermal storage, hydrogen conversion) critical for integrating intermittent renewables (solar, wind) and ensuring grid stability. However, these systems face challenges like low conversion efficiency, uncertain operation, and high economic costs—issues that can only be addressed through rigorous mathematical modeling and targeted optimization.
This Special Issue focuses on advancing the theory and application of mathematical tools in this field. It welcomes original research on topics including but not limited to modeling of electrochemical/thermal storage systems, optimization of storage conversion integration, uncertainty-aware algorithms for renewable coupled systems, and economic dispatch of multi-energy storage.
By bridging mathematical innovation with engineering practice, this Special Issue aims to collect cutting-edge work that guides the design, operation, and scaling of energy storage and conversion systems. It will serve as a platform for researchers and engineers to share insights, promoting the sustainable development of the global energy sector.
Dr. Yuan Cao
Dr. Chunsheng Wang
Dr. Qi Lei
Guest Editors
Manuscript Submission Information
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Keywords
- mathematical modeling (energy systems)
- optimization (energy storage)
- BESS modeling
- thermal energy storage
- PV–storage integration
- wind energy conversion
- hydrogen storage systems
- energy efficiency optimization
- advanced algorithms for sensors
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