2020

chapter in monograph / paper

english

EN This paper presents an approach to prediction of the Remaining Useful Life (RUL) for components of Automated Guided Vehicles (AGV). The focus is paid on the batteries which are a crucial element of these systems and influence the possible operation times considerably. For batteries, two aspects are taken into consideration, if the remaining useful life should be predicted: the State of Charge (SOC) and the State of Health (SOH). Both aspects include non-linearity and are influenced by many factors such as temperature and discharging velocity. To solve such problem a new estimator of SOC and SOH was developed. The proposed approach was applied for Health-Aware Model Predictive Control (H-A MPC) of two cooperate AGV.

420 - 429

10.1007/978-3-030-20494-5_39

https://link.springer.com/chapter/10.1007/978-3-030-20494-5_39

Advances in manufacturing, production management and process control : Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing and the AHFE International Conference on Advanced Production Management and Process Control, July 24-28, 2019, Washington D.C., USA

AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control, 24-28.07.2019, Washington, United States

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