Advances in Battery Modelling, Applications, and Technology—2nd Edition
This special issue belongs to the section "D2: Electrochem: Batteries, Fuel Cells, Capacitors".
Special Issue Information
Dear Colleagues,
Batteries are among the most widely adopted electrochemical energy-storage technologies for both stationary and mobile applications. Stationary uses include uninterruptible power supplies and energy-storage systems coupled with renewable energy sources, whereas mobile applications range from portable electronics to electric vehicles and railway traction systems. Over the years, several battery technologies—including lead–acid, nickel–cadmium, nickel–metal hydride, and lithium-ion batteries—have been developed and commercialized, while emerging solutions such as sodium-ion, quasi-solid-state, and all-solid-state batteries continue to attract significant research interest.
High power capability, energy density, efficiency, safety, and long service life remain key objectives in battery development. Advances in cell materials and design, along with control strategies that keep operation within suitable conditions, can improve battery lifetime. In this context, accurate battery modelling and parameter estimation are essential. Battery models may address electrochemical, electrical, thermal, and ageing phenomena, either separately or within an integrated framework. Depending on the intended application, they can be based on physical–electrochemical, equivalent electric circuit (EEC), data-driven, and hybrid models, with different trade-offs between accuracy, computational effort, and model complexity. Likewise, model parameters can be identified through offline, online, or analytical methods.
Such models and estimation techniques support the analysis, prediction, and control of individual cells and complete battery packs. They are fundamental to battery management systems, performance and lifetime assessment, thermal management, pack sizing, and the design and optimization of energy systems in which batteries are integrated. Although substantial progress has been achieved, the rapid evolution of battery technologies and their applications continues to pose important modelling, identification, and control challenges.
Aim and scope: Following the success of the first edition, this second edition of the Special Issue aims to collect original research articles and review papers on: electrochemical, electrical, thermal, and ageing battery models; integrated and multi-physics modelling approaches; battery parameter-estimation methods; battery management and control strategies; and emerging battery technologies and applications.
Dr. Simone Barcellona
Guest Editor
Manuscript Submission Information
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Keywords
- energy storage systems
- battery technologies
- battery applications
- battery modelling (electrochemical, electrical, thermal, aging models)
- parameter estimation techniques
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