A Model-Based Virtual Sensor for Condition Monitoring of Li-Ion Batteries in Cyber-Physical Vehicle Systems. (12th October 2017)

• Record Type: Journal Article
• Authors: Sánchez, Luciano; Couso, Inés; Otero, José; Echevarría, Yuviny; Anseán, David
• Other Names: Tan Qing Academic Editor.
• Is Part Of: Journal of sensors. Volume 2017(2017)
• Publication Date: 2017-10-12
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2017/9643279
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : A model-based virtual sensor for assessing the health of rechargeable batteries for cyber-physical vehicle systems (CPVSs) is presented that can exploit coarse data streamed from on-vehicle sensors of current, voltage, and temperature. First-principle-based models are combined with knowledge acquired from data in a semiphysical arrangement. The dynamic behaviour of the battery is embodied in the parametric definition of a set of differential equations, and fuzzy knowledge bases are embedded as nonlinear blocks in these equations, providing a human understandable reading of the State of Health of the CPVS that can be easily integrated in the fleet through-life management.