Abstract
The dynamic production of green energy requires capable mediate storage solutions, often in the form of large batteries. Here, a Vanadium Redox Flow Battery is used to collect solar panels’ energy and, later, power electric vehicles. Since the balance of the chemical liquids inside the battery can change over multiple loading cycles, a system for predictive monitoring is needed. This paper presents the project “hILDe - Novel, cost-effective and highly accurate indication of imbalance and state of charge of vanadium redox flow batteries using AI-assisted detection of specific colors”, which features an absorbance sensor for chemical liquids and an AI-empowered monitoring system to interpret and predict sensory data. The current progress in our lab scenario suggests that the deployment of our sensor and monitoring system enables an accurate and cost-efficient imbalance and state of charge sensor for Vanadium Redox Flow Batteries. In the future, the system will be tested in full-sized batteries to verify its scalability and commercial potential.
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Acknowledgements
The investigations were carried out within the joint project “hILDe – Novel, cost-effective and highly accurate indication of imbalance and state of charge of vanadium redox flow batteries using AI-assisted detection of specific colors” (03KB124 A, B & C), funded by Federal Ministry for Economic Affairs and Climate Action (BMWK). 
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Kiefer, GL. et al. (2023). hILDe: AI-Empowered Monitoring System for Vanadium Redox Flow Batteries. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1835. Springer, Cham. https://doi.org/10.1007/978-3-031-36001-5_63
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