AI-based intelligent energy storage using Li-ion batteries
| Autor: | Andreea Badicu, Fatih Tahtasakal, Kadir Gurkan Kizak, Yusuf Kaya, Cristian Beceanu, M.Serdar Yumlu, George Suciu |
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| Rok vydání: | 2021 |
| Předmět: |
Battery (electricity)
business.industry Computer science 020209 energy Reliability (computer networking) 020208 electrical & electronic engineering Energy current Information technology 02 engineering and technology Energy storage Software quality Reliability engineering Renewable energy 0202 electrical engineering electronic engineering information engineering business Energy (signal processing) |
| Zdroj: | 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE). |
| DOI: | 10.1109/atee52255.2021.9425328 |
| Popis: | In recent years, energy storage systems have rapidly transformed and evolved because of the pressing need to create more resilient energy infrastructures and to keep energy costs at low rates for consumers, as well as for utilities. Among the wide array of technological approaches to managing power supply, Li-Ion battery applications are widely used to increase power capabilities and to better integrate renewable energy sources. The improvement of Li-Ion batteries’ reliability and safety requires BMS (battery management system) technology for the energy systems’ optimal functionality and more sustainable batteries with ultra-high performances. This paper aims to introduce the need to incorporate information technology within the current energy storage applications for better performance and reduced costs. Artificial intelligence based BMSs facilitate parameter predictions and state estimations, thus improving efficiency and lowering overall maintenance costs. |
| Databáze: | OpenAIRE |
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