Development and Application of Modern Charging Solutions for Industrial Battery Systems
Keywords:
charging solutions, industrial batteries, BMS, adaptive charging algorithms, energy efficiencyAbstract
The article will consider the features of the development of modern charging solutions for industrial battery systems. This is necessary for the growing use of electric vehicles, renewable energy sources, and storage systems. The aim is to analyze advanced charging technologies to improve industrial batteries' efficiency, safety, and durability. The methodology includes consideration of modern charging algorithms, intelligent battery management systems (BMS), and integration with telematics systems for remote monitoring of battery status. The results demonstrate that the use of adaptive charging algorithms, and BMS systems allows you to extend the life of batteries, increase operational safety, and reduce equipment downtime. The conclusion highlights the importance of integrating intelligent charging solutions into industrial processes to improve energy efficiency and reduce carbon emissions.
References
. Hakimi Wan Bunyamin, W.M., Zahari, M.Z., Wan Abdul Munim, W.N., Baharom, R., Muhammad, K.S. Battery Charging Strategy of Electric Vehicles // 2023 IEEE Industrial Electronics and Applications Conference (IEACon). – 2023. – ?. 145-150.
. Hsu, Y., Ji, D., Miller, M., Jia, X., Lee, J. Intelligent Maintenance of Electric Vehicle Battery Charging Systems and Networks // International Journal of Prognostics and Health Management. – 2023.
. International Energy Agency. Renewables 2024: Global Overview [Electronic resource]. — URL: https://www.iea.org/reports/renewables-2024/global-overview (date of access: 25.10.2024).
. International Renewable Energy Agency. Renewable energy statistics 2024 [Electronic resource]. — URL: https://www.irena.org/Publications/2024/Jul/Renewable-energy-statistics-2024 (date of access: 25.10.2024).
. World Economic Forum. Renewables energy capacity demand growth [Electronic resource]. — URL: https://www.weforum.org/agenda/2024/02/renewables-energy-capacity-demand-growth/ (date of access: 25.10.2024).
. Gao Yu. and others. Classification and review of charging strategies for commercial lithium-ion batteries //Ieee Access. – 2019. – Vol. 7. – pp. 43511-43524.
. Gabbar H. A., Othman A.M., Abdussami M. R. Review of battery management systems (BMS) development and industrial standards //Technologies. – 2021. – Vol. 9. – No. 2. – p. 28.
. Naguib M., Kollmeyer P., Emadi A. Reliable assessment of the state of charge of lithium-ion batteries, inconsistency of batteries and balancing // Ieee Access. – 2021. – Vol. 9. – pp. 50570-50582.
. BSLBATT Battery. Choosing the Right Battery Management System for Forklift Li-Ion Batteries. [Electronic resource]. — URL: https://bslbatt-battery.medium.com/what-is-a-bms-battery-management-system-efe005b3aad0 (date of access: 10/25/2024).
. Mukhachev P. A. et al. Modern machine learning methods for analyzing the technical condition of spacecraft based on telemetry data //Automation and telemechanics. – 2021. – No. 8. – pp. 3-38.
. Siemens. Infrastructure of electric charging stations for electric vehicles. Group charging systems. [Electronic resource]. — URL: https://www.siemens-pro.ru/articles/siemens-articles-65.html (date of access: 10/25/2024).
. Intelligent charging infrastructure from ABB for automatic transport platforms in the port of Singapore. [Electronic resource] Access mode: https://www.elec.ru/news/2020/07/10/intellektualnaya-zaryadnaya-infrastruktura-ot-abb.html (accessed 07.09.2024).
. Contemporary Amperex Technology Ltd (CATL). [Electronic resource] Access mode: https://www.tadviser.ru/index.php/%D0%9A%D0%BE%D0%BC%D0%BF%D0%B0%D0%BD%D0%B8%D1%8F:Contemporary_Amperex_Technology_Ltd_(CATL) (accessed 07.09.2024).
. "An integrated approach to the development of charging infrastructure: from planning to management." RTSoft-SG at the international exhibition "ElectroTrans 2024". [Electronic resource] Access mode: https://www.rtsoft.ru/press/r1/integrirovannyy-podkhod-k-razvitiyu-zaryadnoy-infrastruktury-ot-planirovaniya-k-upravleniyu-rtsoft-s / (accessed 07.09.2024).
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